{"pageNumber":"677","pageRowStart":"16900","pageSize":"25","recordCount":184899,"records":[{"id":70215321,"text":"70215321 - 2020 - Anthropogenic land‐use change intensifies the effect of low flows on stream fishes","interactions":[],"lastModifiedDate":"2020-10-16T14:37:38.372809","indexId":"70215321","displayToPublicDate":"2019-10-20T09:25:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic land‐use change intensifies the effect of low flows on stream fishes","docAbstract":"<ol class=\"\"><li>As ecosystems experience simultaneous disturbances, it is critical to understand how multiple stressors interact to affect ecological change. Land‐use change and extreme flow events are two important stressors that could interact to affect fish populations.</li><li>We evaluated the individual and interactive effects of discharge and land‐use change associated with oil and natural gas development on populations of two stream fishes over a 7‐year period. We used repeated‐state (i.e. abundance trends) and rate (i.e. colonization and persistence) responses to advance our understanding of flow‐ecology relationships in a multiple‐stressor framework.</li><li>Overall, fish abundance, colonization and persistence declined as discharge decreased. The effect of land‐use change associated with oil and natural gas development differed between species, with the abundance of Mottled Sculpin declining and Mountain Sucker increasing as land‐use change increased. We found both synergistic and antagonistic interactions between discharge and land‐use change. Land‐use change intensified the effect of low flows for Mottled Sculpin and lead to greater variability in responses to flow for Mountain Sucker. These differences between species' responses are likely due to differences in their physiological tolerances and behavioural adaptations to disturbance.</li><li><i>Synthesis and applications</i>. Our research provides empirical evidence for the complex interactions that can arise between discharge and anthropogenic land‐use change. Management efforts to reduce inputs of sediments and chemical contaminants associated with land‐use change (e.g. silt fences, vegetative buffers) and promote quality refuge habitats (i.e. in‐stream habitat restoration) could help mitigate the negative effects of low‐flow extremes on stream fishes. Further development of flow‐ecology relationships in a multiple‐stressor framework will help guide management of stream fishes, and provide a better understanding of the mechanisms underlying responses of different species.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13517","usgsCitation":"Walker, R., Girard, C., Alford, S., and Walters, A.W., 2020, Anthropogenic land‐use change intensifies the effect of low flows on stream fishes: Journal of Applied Ecology, v. 57, no. 1, p. 149-159, https://doi.org/10.1111/1365-2664.13517.","productDescription":"11 p.","startPage":"149","endPage":"159","ipdsId":"IP-105667","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":458589,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13517","text":"Publisher Index Page"},{"id":379469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Upper Green River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.67724609375,\n              41.09591205639546\n            ],\n            [\n              -107.29248046875,\n              41.78769700539063\n            ],\n            [\n              -108.30322265624999,\n              42.407234661551875\n            ],\n            [\n              -110.14892578125,\n              43.229195113965005\n            ],\n            [\n              -110.58837890625,\n              43.213183300738876\n            ],\n            [\n              -110.9619140625,\n              42.391008609205045\n            ],\n            [\n              -111.181640625,\n              41.83682786072714\n            ],\n            [\n              -111.005859375,\n              41.1290213474951\n            ],\n            [\n              -110.98388671874999,\n              40.84706035607122\n            ],\n            [\n              -106.50146484374999,\n              40.9964840143779\n            ],\n            [\n              -106.67724609375,\n              41.09591205639546\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"57","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Walker, Richard H.","contributorId":224149,"corporation":false,"usgs":false,"family":"Walker","given":"Richard H.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":801704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Girard, Carlin","contributorId":176838,"corporation":false,"usgs":false,"family":"Girard","given":"Carlin","email":"","affiliations":[],"preferred":false,"id":801705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alford, Samantha L.","contributorId":243195,"corporation":false,"usgs":false,"family":"Alford","given":"Samantha L.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":801706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":801707,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206418,"text":"70206418 - 2020 - Low streamflow trends at human-impacted and reference basins in the United States","interactions":[],"lastModifiedDate":"2019-11-04T14:42:50","indexId":"70206418","displayToPublicDate":"2019-10-18T14:36:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Low streamflow trends at human-impacted and reference basins in the United States","docAbstract":"We present a continent-scale exploration of trends in annual 7-day low streamflows at 2482 U.S. Geological Survey streamgages across the conterminous United States over the past 100, 75, and 50 years (1916–2015, 1941–2015 and 1966–2015). We used basin characteristics to identify subsets of study basins representative of reference basins with streamflow relatively free from human effects (n = 259), and predominantly agricultural basins (n = 78), regulated basins (n = 220), and urban basins (n = 121). Trend significance was computed using the Mann-Kendall test considering short- and long-term persistence. Lag-one autocorrelation tests of detrended 7-day low streamflows for all gage classes show that time-series independence is not an appropriate assumption for annual low streamflow data at many basins. Among all study gages, upward trends (wetter conditions) in 7-day low streamflows outnumbered downward trends (drier conditions) approximately 2–1 for the 75- and 100-year trend periods—50-year trends indicated roughly equal numbers of increases and decreases. Increases in 7-day low streamflow were consistently observed for all time periods throughout much of the northeastern quadrant of the conterminous U.S. including western New England and the Mid-Atlantic, the southeastern Great Lakes basin, northern Ohio River basin, and the Upper Mississippi River and eastern Missouri River basins. Decreases in 7-day low streamflow were consistently observed for all time periods at many gages in the southeastern U.S. and in the northwestern U.S. in much of Idaho and northwestern Washington. Overall, we observed greater percentages of statistically significant trends at gages with human-induced influences than at reference gages. Low-flow trends at agricultural gages were regionally consistent with trends at reference gages. Regulated basins had many statistically significant upward trends for all three time periods tested, which may be attributed in part to substantial increases in dam-related storage prior to 1970. Urban gages had the greatest percentage of significant decreases in 7-day low flows compared to all other gage classes even though most urban gages saw upward trends in mean annual flows. Urban gages also had the greatest percentage of significant increases in low flows second only to regulated gages, highlighting that urban development can increase or decrease low streamflows depending on the basin-specific development.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2019.124254","usgsCitation":"Dudley, R., Hirsch, R.M., Archfield, S.A., Blum, A., and Renard, B., 2020, Low streamflow trends at human-impacted and reference basins in the United States: Journal of Hydrology, v. 580, 124254, 13 p., https://doi.org/10.1016/j.jhydrol.2019.124254.","productDescription":"124254, 13 p.","ipdsId":"IP-098641","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":458591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2019.124254","text":"Publisher Index Page"},{"id":368934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n                -89.6,\n                48.01\n              ],\n              [\n                -89.27292,\n                48.01981\n              ],\n              [\n                -88.37811,\n                48.30292\n              ],\n              [\n                -87.43979,\n                47.94\n              ],\n              [\n                -86.46199,\n                47.55334\n              ],\n              [\n                -85.65236,\n                47.22022\n              ],\n              [\n                -84.87608,\n                46.90008\n              ],\n              [\n                -84.77924,\n                46.6371\n              ],\n              [\n                -84.54375,\n                46.53868\n              ],\n              [\n                -84.6049,\n                46.4396\n              ],\n              [\n                -84.3367,\n                46.40877\n              ],\n              [\n                -84.14212,\n                46.51223\n              ],\n              [\n                -84.09185,\n                46.27542\n              ],\n              [\n                -83.89077,\n                46.11693\n              ],\n              [\n                -83.61613,\n                46.11693\n              ],\n              [\n                -83.46955,\n                45.99469\n              ],\n              [\n                -83.59285,\n                45.81689\n              ],\n              [\n                -82.55092,\n                45.34752\n              ],\n              [\n                -82.33776,\n                44.44\n              ],\n              [\n                -82.13764,\n                43.57109\n              ],\n              [\n                -82.43,\n                42.98\n              ],\n              [\n                -82.9,\n                42.43\n              ],\n              [\n                -83.12,\n                42.08\n              ],\n              [\n                -83.142,\n                41.97568\n              ],\n              [\n                -83.02981,\n                41.8328\n              ],\n              [\n                -82.69009,\n                41.67511\n              ],\n              [\n                -82.43928,\n                41.67511\n              ],\n              [\n                -81.27775,\n                42.20903\n              ],\n              [\n                -80.24745,\n                42.3662\n              ],\n              [\n                -78.93936,\n                42.86361\n              ],\n              [\n                -78.92,\n                42.965\n              ],\n              [\n                -79.01,\n                43.27\n              ],\n              [\n                -79.17167,\n                43.46634\n              ],\n              [\n                -78.72028,\n                43.62509\n              ],\n              [\n                -77.73789,\n                43.62906\n              ],\n              [\n                -76.82003,\n                43.62878\n              ],\n              [\n                -76.5,\n                44.01846\n              ],\n              [\n                -76.375,\n                44.09631\n              ],\n              [\n                -75.31821,\n                44.81645\n              ],\n              [\n                -74.867,\n                45.00048\n              ],\n              [\n                -73.34783,\n                45.00738\n              ],\n              [\n                -71.50506,\n                45.0082\n              ],\n              [\n                -71.405,\n                45.255\n              ],\n              [\n                -71.08482,\n                45.30524\n              ],\n              [\n                -70.66,\n                45.46\n              ],\n              [\n                -70.305,\n                45.915\n              ],\n              [\n                -69.99997,\n                46.69307\n              ],\n              [\n                -69.23722,\n                47.44778\n              ],\n              [\n                -68.905,\n                47.185\n              ],\n              [\n                -68.23444,\n                47.35486\n              ],\n              [\n                -67.79046,\n                47.06636\n              ],\n              [\n                -67.79134,\n                45.70281\n              ],\n              [\n                -67.13741,\n                45.13753\n              ],\n              [\n                -66.96466,\n                44.8097\n              ],\n              [\n                -68.03252,\n                44.3252\n              ],\n              [\n                -69.06,\n                43.98\n              ],\n              [\n                -70.11617,\n                43.68405\n              ],\n              [\n                -70.64548,\n                43.09024\n              ],\n              [\n                -70.81489,\n                42.8653\n              ],\n              [\n                -70.825,\n                42.335\n              ],\n              [\n                -70.495,\n                41.805\n              ],\n              [\n                -70.08,\n                41.78\n              ],\n              [\n                -70.185,\n                42.145\n              ],\n              [\n                -69.88497,\n                41.92283\n              ],\n              [\n                -69.96503,\n                41.63717\n              ],\n              [\n                -70.64,\n                41.475\n              ],\n              [\n                -71.12039,\n                41.49445\n              ],\n              [\n                -71.86,\n                41.32\n              ],\n              [\n                -72.295,\n                41.27\n              ],\n              [\n                -72.87643,\n                41.22065\n              ],\n              [\n                -73.71,\n                40.9311\n              ],\n              [\n                -72.24126,\n                41.11948\n              ],\n              [\n                -71.945,\n                40.93\n              ],\n              [\n                -73.345,\n                40.63\n              ],\n              [\n                -73.982,\n                40.628\n              ],\n              [\n                -73.95232,\n                40.75075\n              ],\n              [\n                -74.25671,\n                40.47351\n              ],\n              [\n                -73.96244,\n                40.42763\n              ],\n              [\n                -74.17838,\n                39.70926\n              ],\n              [\n                -74.90604,\n                38.93954\n              ],\n              [\n                -74.98041,\n                39.1964\n              ],\n              [\n                -75.20002,\n                39.24845\n              ],\n              [\n                -75.52805,\n                39.4985\n              ],\n              [\n                -75.32,\n                38.96\n              ],\n              [\n                -75.07183,\n                38.78203\n              ],\n              [\n                -75.05673,\n                38.40412\n              ],\n              [\n                -75.37747,\n                38.01551\n              ],\n              [\n                -75.94023,\n                37.21689\n              ],\n              [\n                -76.03127,\n                37.2566\n              ],\n              [\n                -75.72205,\n                37.93705\n              ],\n              [\n                -76.23287,\n                38.31921\n              ],\n              [\n                -76.35,\n                39.15\n              ],\n              [\n                -76.54272,\n                38.71762\n              ],\n              [\n                -76.32933,\n                38.08326\n              ],\n              [\n                -76.99,\n                38.23999\n              ],\n              [\n                -76.30162,\n                37.91794\n              ],\n              [\n                -76.25874,\n                36.9664\n              ],\n              [\n                -75.9718,\n                36.89726\n              ],\n              [\n                -75.86804,\n                36.55125\n              ],\n              [\n                -75.72749,\n                35.55074\n              ],\n              [\n                -76.36318,\n                34.80854\n              ],\n              [\n                -77.39763,\n                34.51201\n              ],\n              [\n                -78.05496,\n                33.92547\n              ],\n              [\n                -78.55435,\n                33.86133\n              ],\n              [\n                -79.06067,\n                33.49395\n              ],\n              [\n                -79.20357,\n                33.15839\n              ],\n              [\n                -80.30132,\n                32.50935\n              ],\n              [\n                -80.86498,\n                32.0333\n              ],\n              [\n                -81.33629,\n                31.44049\n              ],\n              [\n                -81.49042,\n                30.72999\n              ],\n              [\n                -81.31371,\n                30.03552\n              ],\n              [\n                -80.98,\n                29.18\n              ],\n              [\n                -80.53558,\n                28.47213\n              ],\n              [\n                -80.53,\n                28.04\n              ],\n              [\n                -80.05654,\n                26.88\n              ],\n              [\n                -80.08801,\n                26.20576\n              ],\n              [\n                -80.13156,\n                25.81677\n              ],\n              [\n                -80.38103,\n                25.20616\n              ],\n              [\n                -80.68,\n                25.08\n              ],\n              [\n                -81.17213,\n                25.20126\n              ],\n              [\n                -81.33,\n                25.64\n              ],\n              [\n                -81.71,\n                25.87\n              ],\n              [\n                -82.24,\n                26.73\n              ],\n              [\n                -82.70515,\n                27.49504\n              ],\n              [\n                -82.85526,\n                27.88624\n              ],\n              [\n                -82.65,\n                28.55\n              ],\n              [\n                -82.93,\n                29.1\n              ],\n              [\n                -83.70959,\n                29.93656\n              ],\n              [\n                -84.1,\n                30.09\n              ],\n              [\n                -85.10882,\n                29.63615\n              ],\n              [\n                -85.28784,\n                29.68612\n              ],\n              [\n                -85.7731,\n                30.15261\n              ],\n              [\n                -86.4,\n                30.4\n              ],\n              [\n                -87.53036,\n                30.27433\n              ],\n              [\n                -88.41782,\n                30.3849\n              ],\n              [\n                -89.18049,\n                30.31598\n              ],\n              [\n                -89.59383,\n                30.15999\n              ],\n              [\n                -89.41373,\n                29.89419\n              ],\n              [\n                -89.43,\n                29.48864\n              ],\n              [\n                -89.21767,\n                29.29108\n              ],\n              [\n                -89.40823,\n                29.15961\n              ],\n              [\n                -89.77928,\n                29.30714\n              ],\n              [\n                -90.15463,\n                29.11743\n              ],\n              [\n                -90.88022,\n                29.14854\n              ],\n              [\n                -91.62678,\n                29.677\n              ],\n              [\n                -92.49906,\n                29.5523\n              ],\n              [\n                -93.22637,\n                29.78375\n              ],\n              [\n                -93.84842,\n                29.71363\n              ],\n              [\n                -94.69,\n                29.48\n              ],\n              [\n                -95.60026,\n                28.73863\n              ],\n              [\n                -96.59404,\n                28.30748\n              ],\n              [\n                -97.14,\n                27.83\n              ],\n              [\n                -97.37,\n                27.38\n              ],\n              [\n                -97.38,\n                26.69\n              ],\n              [\n                -97.33,\n                26.21\n              ],\n              [\n                -97.14,\n                25.87\n              ],\n              [\n                -97.53,\n                25.84\n              ],\n              [\n                -98.24,\n                26.06\n              ],\n              [\n                -99.02,\n                26.37\n              ],\n              [\n                -99.3,\n                26.84\n              ],\n              [\n                -99.52,\n                27.54\n              ],\n              [\n                -100.11,\n                28.11\n              ],\n              [\n                -100.45584,\n                28.69612\n              ],\n              [\n                -100.9576,\n                29.38071\n              ],\n              [\n                -101.6624,\n                29.7793\n              ],\n              [\n                -102.48,\n                29.76\n              ],\n              [\n                -103.11,\n                28.97\n              ],\n              [\n                -103.94,\n                29.27\n              ],\n              [\n                -104.45697,\n                29.57196\n              ],\n              [\n                -104.70575,\n                30.12173\n              ],\n              [\n                -105.03737,\n                30.64402\n              ],\n              [\n                -105.63159,\n                31.08383\n              ],\n              [\n                -106.1429,\n                31.39995\n              ],\n              [\n                -106.50759,\n                31.75452\n              ],\n              [\n                -108.24,\n                31.75485\n              ],\n              [\n                -108.24194,\n                31.34222\n              ],\n              [\n                -109.035,\n                31.34194\n              ],\n              [\n                -111.02361,\n                31.33472\n              ],\n              [\n                -113.30498,\n                32.03914\n              ],\n              [\n                -114.815,\n                32.52528\n              ],\n              [\n                -114.72139,\n                32.72083\n              ],\n              [\n                -115.99135,\n                32.61239\n              ],\n              [\n                -117.12776,\n                32.53534\n              ],\n              [\n                -117.29594,\n                33.04622\n              ],\n              [\n                -117.944,\n                33.62124\n              ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"580","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dudley, Robert W. 0000-0002-0934-0568","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":220211,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":774480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":774481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blum, Annalise G.","contributorId":193846,"corporation":false,"usgs":false,"family":"Blum","given":"Annalise G.","affiliations":[],"preferred":false,"id":774482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Renard, Benjamin","contributorId":177291,"corporation":false,"usgs":false,"family":"Renard","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":774483,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203892,"text":"70203892 - 2020 - The contributions and influence of two Americans, Henry S. Washington and Frank A. Perret, to the study of Italian volcanism with emphasis on volcanoes in the Naples area","interactions":[],"lastModifiedDate":"2019-12-03T10:47:43","indexId":"70203892","displayToPublicDate":"2019-10-18T10:44:16","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"The contributions and influence of two Americans, Henry S. Washington and Frank A. Perret, to the study of Italian volcanism with emphasis on volcanoes in the Naples area","docAbstract":"<p id=\"abspara0010\">A century ago, two Americans, Henry Stephens Washington and Frank Alvord Perret, made significant contributions to the geology, petrology, and volcanology of Italy, in particular to those volcanoes in the Naples area, Vesuvius, Campi Flegrei (Phlegraean Fields), and the Island of Ischia. Both were from the eastern United States, both were born in 1867, and both studied physics as undergraduates. However, each man followed a different scientific path and approach in his volcanological studies. Washington was classically trained and more interested in rock chemistry, mineralogy, and petrogenesis. Perret was a gifted inventor, worked in Edison's laboratory, established his own company, and was a keen observer of volcanic phenomena and processes; today he would be called a “physical volcanologist” Each man published classic works on Italian volcanoes,<span>&nbsp;</span><i>The Roman Comagmatic Region</i><span>&nbsp;</span>(Washington, 1906) and<span>&nbsp;</span><i>The Vesuvius Eruption of 1906</i><span>&nbsp;</span>(Perret, 1924); both were published by the Carnegie Institution of Washington. However, both men had cosmopolitan tastes for other volcanoes, and they traveled widely and made significant contributions to the knowledge of other volcanic areas.</p><p id=\"abspara0015\">The following two sections present, albeit briefly, their work, significance, and influence to Italian volcanism with emphasis on those volcanoes in the Naples area.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Vesuvius, Campi Flegrei, and Campanian Volcanism","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-816454-9.00002-X","isbn":"9780128164549","usgsCitation":"Belkin, H.E., and Gidwitz, T., 2020, The contributions and influence of two Americans, Henry S. Washington and Frank A. Perret, to the study of Italian volcanism with emphasis on volcanoes in the Naples area, chap. 2 <i>of</i> Vesuvius, Campi Flegrei, and Campanian Volcanism, p. 9-32, https://doi.org/10.1016/B978-0-12-816454-9.00002-X.","productDescription":"24 p.","startPage":"9","endPage":"32","ipdsId":"IP-103762","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":369863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Naples","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              13.903198242187498,\n              40.49500373230525\n            ],\n            [\n              15.227050781249998,\n              40.49500373230525\n            ],\n            [\n              15.227050781249998,\n              41.09384217129622\n            ],\n            [\n              13.903198242187498,\n              41.09384217129622\n            ],\n            [\n              13.903198242187498,\n              40.49500373230525\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Belkin, Harvey E. 0000-0001-7879-6529","orcid":"https://orcid.org/0000-0001-7879-6529","contributorId":190267,"corporation":false,"usgs":false,"family":"Belkin","given":"Harvey","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":764614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gidwitz, Tom","contributorId":216357,"corporation":false,"usgs":false,"family":"Gidwitz","given":"Tom","email":"","affiliations":[{"id":33295,"text":"independent consultant","active":true,"usgs":false}],"preferred":false,"id":764615,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227117,"text":"70227117 - 2020 - Organic pellet decomposition induces mortality of Lake Trout embryos in Yellowstone Lake","interactions":[],"lastModifiedDate":"2021-12-30T16:27:22.960232","indexId":"70227117","displayToPublicDate":"2019-10-18T10:19:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Organic pellet decomposition induces mortality of Lake Trout embryos in Yellowstone Lake","docAbstract":"<p><span>Yellowstone Lake is the site of actions to suppress invasive Lake Trout&nbsp;</span><i>Salvelinus namaycush</i><span>&nbsp;and restore native Yellowstone Cutthroat Trout&nbsp;</span><i>Oncorhynchus clarkii bouvieri</i><span>&nbsp;and natural ecosystem function. Although gill netting is effective (Lake Trout λ&nbsp;≤&nbsp;0.6 from 2012 through 2018), the effort costs more than US$2 million annually and only targets Lake Trout age 2 and older. To increase suppression efficiency, we developed an alternative method using organic (soy and wheat) pellets to increase mortality of Lake Trout embryos on spawning sites. Decomposition of pellets during two in&nbsp;situ experiments caused dissolved oxygen (DO) concentrations to temporarily decline to lethal levels (&lt;3.4&nbsp;mg/L) within days of application. Embryo mortalities during the first exposure period (days 1–6 following application) were high at all treatment levels (1.75–28.0&nbsp;kg/m</span><sup>2</sup><span>) at the substrate surface and within interstices 20&nbsp;cm below the surface, varying from 97&nbsp;±&nbsp;1.8% (mean ± SE) to 100&nbsp;±&nbsp;0.0%, but may have been enhanced by a handling effect (exposure to sunlight). Embryo mortalities during the second exposure period (days 11–22) were highest 20&nbsp;cm below the surface, varying from 78&nbsp;±&nbsp;9.7% to 100&nbsp;±&nbsp;0.0%. Almost all (98&nbsp;±&nbsp;3.1%) Lake Trout embryos died after exposure to DO&nbsp;&lt;&nbsp;3.4&nbsp;mg/L for &gt;200&nbsp;h during the second period. Pellets caused lethal DO for several weeks below the substrate surface, despite largely dissolving and dissipating from the surface of treated areas by day 39. Broad-scale application of pellets at 1.75&nbsp;kg/m</span><sup>2</sup><span>&nbsp;following the spawning period in autumn may reduce Lake Trout recruitment and enhance population suppression because the area of 14 verified spawning sites is only 11.4&nbsp;ha (0.03% of lake surface area). Pellet application may be useful in other similar systems as part of an integrated pest management approach targeting multiple life stages of invasive freshwater fish.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10208","usgsCitation":"Koel, T., Thomas, N.A., Guy, C.S., Doepke, P.D., MacDonald, D.J., Poole, A.S., Sealey, W.M., and Zale, A.V., 2020, Organic pellet decomposition induces mortality of Lake Trout embryos in Yellowstone Lake: Transactions of the American Fisheries Society, v. 149, no. 1, p. 57-70, https://doi.org/10.1002/tafs.10208.","productDescription":"14 p.","startPage":"57","endPage":"70","ipdsId":"IP-107137","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":458597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10208","text":"Publisher Index Page"},{"id":393651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.60211181640624,\n              44.28158729232232\n            ],\n            [\n              -110.15716552734375,\n              44.28158729232232\n            ],\n            [\n              -110.15716552734375,\n              44.58068656459206\n            ],\n            [\n              -110.60211181640624,\n              44.58068656459206\n            ],\n            [\n              -110.60211181640624,\n              44.28158729232232\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"149","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Koel, Todd M.","contributorId":270657,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":829704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Nathan A.","contributorId":270658,"corporation":false,"usgs":false,"family":"Thomas","given":"Nathan","email":"","middleInitial":"A.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":829705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":829702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doepke, Philip D.","contributorId":270659,"corporation":false,"usgs":false,"family":"Doepke","given":"Philip","email":"","middleInitial":"D.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":829706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"MacDonald, Drew J.","contributorId":270660,"corporation":false,"usgs":false,"family":"MacDonald","given":"Drew","email":"","middleInitial":"J.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":829707,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poole, Alex S.","contributorId":270661,"corporation":false,"usgs":false,"family":"Poole","given":"Alex","email":"","middleInitial":"S.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":829708,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sealey, Wendy M.","contributorId":270662,"corporation":false,"usgs":false,"family":"Sealey","given":"Wendy","email":"","middleInitial":"M.","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":829709,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zale, Alexander V. 0000-0003-1703-885X","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":244099,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":829703,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70208111,"text":"70208111 - 2020 - Urbanization reduces genetic connectivity in bobcats (Lynx rufus) at both intra- and interpopulation spatial scales","interactions":[],"lastModifiedDate":"2020-01-29T16:13:47","indexId":"70208111","displayToPublicDate":"2019-10-15T18:56:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Urbanization reduces genetic connectivity in bobcats (<i>Lynx rufus</i>) at both intra- and interpopulation spatial scales","title":"Urbanization reduces genetic connectivity in bobcats (Lynx rufus) at both intra- and interpopulation spatial scales","docAbstract":"<p>Urbanization is a major factor driving habitat fragmentation and connectivity loss in wildlife. However, the impacts of urbanization on connectivity can vary among species and even populations due to differences in local landscape characteristics, and our ability to detect these relationships may depend on the spatial scale at which they are measured. Bobcats (<i>Lynx rufus</i>) are relatively sensitive to urbanization and the status of bobcat populations is an important indicator of connectivity in urban coastal southern California. We genotyped 271 bobcats at 13,520 SNP loci to conduct a replicated landscape resistance analysis in five genetically distinct populations. We tested urban and natural factors potentially influencing individual connectivity in each population separately, as well as study–wide. Overall, landscape genomic effects were most frequently detected at the study–wide spatial scale, with urban land cover (measured as impervious surface) having negative effects and topographic roughness having positive effects on gene flow. The negative effect of urban land cover on connectivity was also evident when populations were analyzed separately despite varying substantially in spatial area and the proportion of urban development, confirming a pervasive impact of urbanization largely independent of spatial scale. The effect of urban development was strongest in one population where stream habitat had been lost to development, suggesting that riparian corridors may help mitigate reduced connectivity in urbanizing areas. Our results demonstrate the importance of replicating landscape genetic analyses across populations and considering how landscape genetic effects may vary with spatial scale and local landscape structure.</p>","language":"English","publisher":"Wiley","doi":"10.1111/mec.15274","usgsCitation":"Kozakiewicz, C.P., Burridge, C.P., Funk, W.C., Salerno, P.E., Trumbo, D.R., Gagne, R.B., Boydston, E.E., Fisher, R.N., Lyren, L.M., Jennings, M.K., Riley, S.P., Serieys, L., VandeWoude, S., Crooks, K.R., and Carver, S., 2020, Urbanization reduces genetic connectivity in bobcats (Lynx rufus) at both intra- and interpopulation spatial scales: Molecular Ecology, v. 28, no. 23, p. 5068-5085, https://doi.org/10.1111/mec.15274.","productDescription":"18 p.","startPage":"5068","endPage":"5085","ipdsId":"IP-102669","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":371610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.68554687499999,\n              32.43561304116276\n            ],\n            [\n              -115.75195312499999,\n              32.76880048488168\n            ],\n            [\n              -116.103515625,\n              34.08906131584994\n            ],\n            [\n              -119.0478515625,\n              36.03133177633187\n            ],\n            [\n              -121.904296875,\n              37.68382032669382\n            ],\n            [\n              -122.4755859375,\n              38.41055825094609\n            ],\n            [\n              -123.48632812499999,\n              37.47485808497102\n            ],\n            [\n              -121.46484375,\n              34.70549341022544\n            ],\n            [\n              -119.3115234375,\n              33.100745405144245\n            ],\n            [\n              -117.68554687499999,\n              32.43561304116276\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"23","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Kozakiewicz, Christpher P.","contributorId":221853,"corporation":false,"usgs":false,"family":"Kozakiewicz","given":"Christpher","email":"","middleInitial":"P.","affiliations":[{"id":16141,"text":"University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":780507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burridge, Christopher P.","contributorId":221854,"corporation":false,"usgs":false,"family":"Burridge","given":"Christopher","email":"","middleInitial":"P.","affiliations":[{"id":16141,"text":"University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":780508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":97589,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":780509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salerno, Patricia E.","contributorId":221855,"corporation":false,"usgs":false,"family":"Salerno","given":"Patricia","email":"","middleInitial":"E.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":780510,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trumbo, Daryl R.","contributorId":212119,"corporation":false,"usgs":false,"family":"Trumbo","given":"Daryl","email":"","middleInitial":"R.","affiliations":[{"id":38416,"text":"Department of Biology, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":780511,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gagne, Roderick B.","contributorId":212110,"corporation":false,"usgs":false,"family":"Gagne","given":"Roderick","email":"","middleInitial":"B.","affiliations":[{"id":38413,"text":"Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":780512,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780505,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780506,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lyren, Lisa M. llyren@usgs.gov","contributorId":2398,"corporation":false,"usgs":true,"family":"Lyren","given":"Lisa","email":"llyren@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780513,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jennings, Megan K.","contributorId":221856,"corporation":false,"usgs":false,"family":"Jennings","given":"Megan","email":"","middleInitial":"K.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":780514,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Riley, Seth P. D.","contributorId":208334,"corporation":false,"usgs":false,"family":"Riley","given":"Seth","email":"","middleInitial":"P. D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":780515,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Serieys, Laurel E.K.","contributorId":86695,"corporation":false,"usgs":false,"family":"Serieys","given":"Laurel E.K.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":780516,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"VandeWoude, Sue","contributorId":212137,"corporation":false,"usgs":false,"family":"VandeWoude","given":"Sue","email":"","affiliations":[{"id":38434,"text":"College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":780517,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Crooks, Kevin R.","contributorId":51137,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":780518,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Carver, Scott 0000-0002-3579-7588","orcid":"https://orcid.org/0000-0002-3579-7588","contributorId":197456,"corporation":false,"usgs":false,"family":"Carver","given":"Scott","email":"","affiliations":[],"preferred":false,"id":780519,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70215279,"text":"70215279 - 2020 - Late Quaternary evolution and stratigraphic framework influence on coastal systems along the north-central Gulf of Mexico, USA","interactions":[],"lastModifiedDate":"2020-10-16T11:53:56.257709","indexId":"70215279","displayToPublicDate":"2019-10-14T14:14:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary evolution and stratigraphic framework influence on coastal systems along the north-central Gulf of Mexico, USA","docAbstract":"Coastal systems in the Gulf of Mexico are threatened by reduced sediment supply, storm impacts and relative sea-level rise (RSLR). The geologic record provides insight into geomorphic evolution thresholds to these forcing mechanisms to help predict future barrier evolution in response to climate change. This study synthesizes ∼2100 km of geophysical data, 700 + sediment cores, and 62 radiocarbon dates to regionally map two lowstand sequence boundaries, multiple ravinement surfaces and fourteen depositional facies demonstrating stratigraphic and antecedent topographic influences on coastal evolution. The Mississippi-Alabama (MSAL) barriers are anchored by a marine isotope stage (MIS) 5e section of Dauphin Island coupled with an MIS 2 surface gradient change. Sand for the modern MSAL barriers were largely sourced through Holocene transgressive ravinement of relict valley fill deposits, providing up to 300 × 106 m3 of sand. Mud-filled MIS 2 tributaries correspond to areas of repeated storm breaching or tidal inlets.\n\nA Holocene geomorphic evolutionary model was created for Petit Bois and Dauphin Islands, highlighting RSLR rates, changes in sediment supply and the antecedent geologic framework. As the MIS 2 surface was flooded, tidal/wave scour supplied sand to migrating marine shoals. These transgressing shoals converted drowned paleovalleys to estuaries ∼9ka BP. Islands formed in their modern positions ∼6ka BP, when sediment supply was high and RSLR rates were 2 mm/yr. Between ∼4ka-1750 CE, islands prograded from reduced RSLR rates of 1-0.4 mm/yr and sufficient sand supply from alongshore/inner shelf sources. Currently, the islands experience 3.74 mm/yr of RSLR and reduced sediment supply, resulting in barrier degradation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2019.105910","usgsCitation":"Hollis, R.S., Wallace, D.J., Miner, M.D., Gal, N.S., Dike, C.H., and Flocks, J., 2020, Late Quaternary evolution and stratigraphic framework influence on coastal systems along the north-central Gulf of Mexico, USA: Quaternary Science Reviews, v. 223, 105910, 24 p., https://doi.org/10.1016/j.quascirev.2019.105910.","productDescription":"105910, 24 p.","ipdsId":"IP-104001","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488434,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://aquila.usm.edu/masters_theses/598","text":"External Repository"},{"id":379381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Mississippi","otherGeospatial":"North-Central Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.40673828125,\n              29.897805610155874\n            ],\n            [\n              -87.01171875,\n              29.897805610155874\n            ],\n            [\n              -87.01171875,\n              30.694611546632277\n            ],\n            [\n              -89.40673828125,\n              30.694611546632277\n            ],\n            [\n              -89.40673828125,\n              29.897805610155874\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"223","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hollis, Robert S","contributorId":243055,"corporation":false,"usgs":false,"family":"Hollis","given":"Robert","email":"","middleInitial":"S","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":801451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Davin J","contributorId":243056,"corporation":false,"usgs":false,"family":"Wallace","given":"Davin","email":"","middleInitial":"J","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":801452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miner, Michael D","contributorId":243057,"corporation":false,"usgs":false,"family":"Miner","given":"Michael","email":"","middleInitial":"D","affiliations":[{"id":48626,"text":"The Water Institute of the Gulf, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":801453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gal, Nina S","contributorId":243058,"corporation":false,"usgs":false,"family":"Gal","given":"Nina","email":"","middleInitial":"S","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":801454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dike, Clayton H","contributorId":243059,"corporation":false,"usgs":false,"family":"Dike","given":"Clayton","email":"","middleInitial":"H","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":801455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flocks, James 0000-0002-6177-7433","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":221107,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":801456,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70219053,"text":"70219053 - 2020 - Organic petrography of Leonardian (Wolfcamp A) mudrocks and carbonates, Midland Basin, Texas: The fate of oil-prone sedimentary organic matter in the oil window","interactions":[],"lastModifiedDate":"2021-03-22T13:08:22.48094","indexId":"70219053","displayToPublicDate":"2019-10-14T08:01:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Organic petrography of Leonardian (Wolfcamp A) mudrocks and carbonates, Midland Basin, Texas: The fate of oil-prone sedimentary organic matter in the oil window","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">To better understand evolution of oil-prone sedimentary organic matter to petroleum and expulsion from source rock, we evaluated organic petrographic features of Leonardian Wolfcamp A repetitive siliceous and calcareous mudrock and fine-grained carbonate lithofacies cycles occurring in the R. Ricker #1 core from Reagan County, Midland Basin, Texas. The objectives of the petrographic investigation were to estimate thermal maturity, identify organic matter types and abundances, and identify the presence or absence of migrated hydrocarbons in organic-lean carbonate layers. An integrated analytical program included geochemical screening [total organic carbon (TOC) content by LECO, programmed pyrolysis by hydrocarbon analyzer with kinetics (HAWK) including analysis of solvent-extracted samples], X-ray diffraction mineralogy, organic petrography, scanning electron microscopy with energy dispersive spectroscopy (SEM-EDS) including correlative light and electron microscopy (CLEM), and micro-Fourier transform infrared spectroscopy (μ-FTIR) analyses of solid bitumen. The data indicate all samples are early to middle oil window thermal maturity with solid bitumen reflectance (BR<sub>o</sub>) values of 0.55–0.86% and T<sub>max</sub><span>&nbsp;</span>of 440–455 °C. Organic matter is predominantly solid bitumen (as identified by optical microscopy) in all lithofacies with minor contributions from inertinite. Solid bitumen abundance decreases from siliceous mudrock (TOC &gt;3.0 wt%) to calcareous mudrock (TOC 1.0 to 3.0 wt%) to fine-grained carbonate (TOC &lt;1.0 wt%) lithofacies. Interpretations of petrographic data suggest siliceous and calcareous mudrocks are source rock lithofacies and contain solid bitumen (with petroleum generation potential) that is residual (what remains) from conversion of an original Type II sedimentary organic matter. In turn, fine-grained carbonates are interpreted as reservoir lithofacies which contained little or no original oil-prone sedimentary organic matter and at present-day contain only a minor component of migrated solid petroleum sourced from adjacent siliceous and calcareous mudrock lithofacies. This work helps to document petroleum generation and migration processes, improve unconventional reservoir characterization and better define areas of oil window thermal maturity in an area critical to United States hydrocarbon production.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2019.104086","usgsCitation":"Hackley, P.C., Zhang, T., Jubb, A., Valentine, B.J., Dulong, F.T., and Hatcherian, J.J., 2020, Organic petrography of Leonardian (Wolfcamp A) mudrocks and carbonates, Midland Basin, Texas: The fate of oil-prone sedimentary organic matter in the oil window: Marine and Petroleum Geology, v. 112, 104086, 15 p., https://doi.org/10.1016/j.marpetgeo.2019.104086.","productDescription":"104086, 15 p.","ipdsId":"IP-103969","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":458604,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpetgeo.2019.104086","text":"Publisher Index Page"},{"id":437209,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P923A75B","text":"USGS data release","linkHelpText":"Organic Petrography and Diagenesis of Leonardian Mudrocks and Carbonates, Midland Basin, Texas (2018)"},{"id":384535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Midland basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.88671875,\n              30.372875188118016\n            ],\n            [\n              -99.7998046875,\n              30.372875188118016\n            ],\n            [\n              -99.7998046875,\n              33.94335994657882\n            ],\n            [\n              -103.88671875,\n              33.94335994657882\n            ],\n            [\n              -103.88671875,\n              30.372875188118016\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"112","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":812602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Tongwei","contributorId":225214,"corporation":false,"usgs":false,"family":"Zhang","given":"Tongwei","affiliations":[{"id":41078,"text":"Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":812603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":812609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dulong, Frank T. 0000-0001-7388-647X fdulong@usgs.gov","orcid":"https://orcid.org/0000-0001-7388-647X","contributorId":650,"corporation":false,"usgs":true,"family":"Dulong","given":"Frank","email":"fdulong@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812610,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":812611,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70209714,"text":"70209714 - 2020 - Climate teleconnections synchronize Picea glauca masting and fire disturbance: Evidence for a fire‐related form of environmental prediction","interactions":[],"lastModifiedDate":"2020-04-22T15:12:21.25753","indexId":"70209714","displayToPublicDate":"2019-10-12T10:01:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"displayTitle":"Climate teleconnections synchronize <i>Picea glauca</i> masting and fire disturbance: Evidence for a fire‐related form of environmental prediction","title":"Climate teleconnections synchronize Picea glauca masting and fire disturbance: Evidence for a fire‐related form of environmental prediction","docAbstract":"<ol class=\"\"><li>Synchronous pulses of seed masting and natural disturbance have positive feedbacks on the reproduction of masting species in disturbance‐prone ecosystems. We test the hypotheses that disturbances and proximate causes of masting are correlated, and that their large‐scale synchrony is driven by similar climate teleconnection patterns at both inter‐annual and decadal time scales.</li><li>Hypotheses were tested on white spruce (<i>Picea glauca</i>), a masting species which surprisingly persists in fire‐prone boreal forests while lacking clear fire adaptations. We built masting, drought and fire indices at regional (Alaska, Yukon, Alberta, Quebec) and sub‐continental scales (western North America) spanning the second half of the 20th century. Superposed Epoch Analysis tested the temporal associations between masting events, drought and burnt area at the regional scale. At the sub‐continental scale, Superposed Epoch Analysis tested whether El Niño‐Southern Oscillation (ENSO) and its coupled effects with the Atlantic Multidecadal Oscillation (AMO) in the positive phase (AMO+/ENSO+) synchronize drought, burnt area and masting. We additionally tested the consistency of our synchronization hypotheses on a decadal temporal scale to verify whether long‐term oscillations in AMO+/ENSO+ are coherent to decadal variation in drought, burnt area and masting.</li><li>Analyses demonstrated synchronicity between drought, fire and masting. In all regions the year before a mast event was drier and more fire‐prone than usual. During AMO+/ENSO+ events sub‐continental indices of drought and burnt area experienced significant departures from mean values. The same was observed for large‐scale masting in the subsequent year, confirming 1‐year lag between fire and masting. Sub‐continental indices of burnt area and masting showed in‐phase decadal fluctuations led by the AMO+/ENSO+. Results support the ‘Environmental prediction hypothesis’ for mast seeding.</li><li><i>Synthesis</i>. We provide evidence of large‐scale synchronicity between seed masting in<span>&nbsp;</span><i>Picea glauca</i><span>&nbsp;</span>and fire regimes in boreal forests of western North America at both inter‐annual and decadal time scales. We conclude that seed production in white spruce predicts changes in disturbance regimes by sharing the same large‐scale climate drivers with drought and fire. This gives new insides in a mechanism providing a fire‐sensitive species with higher than expected adaptability to changes in climate.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13308","collaboration":"","usgsCitation":"Ascoli, D., Hacket-Pain, A., LaMontagne, J., Cardil, A., Conedera, M., Maringer, J., Motta, R., Pearse, I., and Vacchiano, G., 2020, Climate teleconnections synchronize Picea glauca masting and fire disturbance: Evidence for a fire‐related form of environmental prediction, v. 108, no. 3, p. 1186-1198, https://doi.org/10.1111/1365-2745.13308.","productDescription":"9 p.","startPage":"1186","endPage":"1198","ipdsId":"IP-112277","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":458606,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.13308","text":"Publisher Index Page"},{"id":437210,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IT5P5F","text":"USGS data release","linkHelpText":"Long term cone production of white spruce throughout boreal forests in North America"},{"id":374191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Alberta, Quebec, Yukon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.40917968749999,\n              46.6795944656402\n            ],\n            [\n              -70.13671875,\n              46.6795944656402\n            ],\n            [\n              -70.13671875,\n              49.92293545449574\n            ],\n            [\n              -79.40917968749999,\n              49.92293545449574\n            ],\n            [\n              -79.40917968749999,\n              46.6795944656402\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.61914062499999,\n              50.17689812200107\n            ],\n            [\n              -110.12695312499999,\n              50.17689812200107\n            ],\n            [\n              -110.12695312499999,\n              59.977005492196\n            ],\n            [\n              -119.61914062499999,\n              59.977005492196\n            ],\n            [\n              -119.61914062499999,\n              50.17689812200107\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158.203125,\n              59.84481485969105\n            ],\n            [\n              -128.583984375,\n              59.84481485969105\n            ],\n            [\n              -128.583984375,\n              69.2249968541159\n            ],\n            [\n              -158.203125,\n              69.2249968541159\n            ],\n            [\n              -158.203125,\n              59.84481485969105\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"108","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Ascoli, Davide","contributorId":224289,"corporation":false,"usgs":false,"family":"Ascoli","given":"Davide","email":"","affiliations":[{"id":40848,"text":"University of Torino","active":true,"usgs":false}],"preferred":false,"id":787641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hacket-Pain, Andrew","contributorId":224290,"corporation":false,"usgs":false,"family":"Hacket-Pain","given":"Andrew","affiliations":[{"id":16977,"text":"University of Liverpool","active":true,"usgs":false}],"preferred":false,"id":787642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaMontagne, Jalene M.","contributorId":224291,"corporation":false,"usgs":false,"family":"LaMontagne","given":"Jalene M.","affiliations":[{"id":36623,"text":"DePaul University","active":true,"usgs":false}],"preferred":false,"id":787643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cardil, Adrian","contributorId":224292,"corporation":false,"usgs":false,"family":"Cardil","given":"Adrian","email":"","affiliations":[{"id":40849,"text":"University of Lleida","active":true,"usgs":false}],"preferred":false,"id":787644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conedera, Marco 0000-0003-3980-2142","orcid":"https://orcid.org/0000-0003-3980-2142","contributorId":194727,"corporation":false,"usgs":false,"family":"Conedera","given":"Marco","email":"","affiliations":[],"preferred":false,"id":787645,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maringer, Janet","contributorId":224293,"corporation":false,"usgs":false,"family":"Maringer","given":"Janet","email":"","affiliations":[{"id":40850,"text":"Swiss Federal Institute for Forest, Snow and Landscape Research","active":true,"usgs":false}],"preferred":false,"id":787646,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Motta, Renzo","contributorId":224294,"corporation":false,"usgs":false,"family":"Motta","given":"Renzo","email":"","affiliations":[{"id":40848,"text":"University of Torino","active":true,"usgs":false}],"preferred":false,"id":787647,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":787648,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vacchiano, Giorgio","contributorId":224295,"corporation":false,"usgs":false,"family":"Vacchiano","given":"Giorgio","email":"","affiliations":[{"id":40851,"text":"University of Milan","active":true,"usgs":false}],"preferred":false,"id":787649,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70215095,"text":"70215095 - 2020 - Identifying important military installations for continental-scale conservation of marsh bird breeding habitat","interactions":[],"lastModifiedDate":"2020-10-08T13:46:51.750002","indexId":"70215095","displayToPublicDate":"2019-10-11T08:38:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Identifying important military installations for continental-scale conservation of marsh bird breeding habitat","docAbstract":"<p><span>Degradation of wetland ecosystems has negatively impacted many species, perhaps none more so than marsh birds that breed in vegetative emergent wetlands throughout North America. The U.S. Department of Defense manages approximately 29 million acres of land within the continental U.S., and many military installations contain wetland complexes that may be important for wetland birds. Thus, failure to adequately manage habitat for marsh birds could result in species extirpations and additional listings under the Endangered Species Act, and may result in regulatory burdens that reduce military readiness. We conducted spatial analyses to identify important breeding habitat on &gt; 500 military installations for 12 species of marsh birds, with the goal of identifying installations that are, and are not, likely to harbor breeding habitat for each species. We also sought to assess the local value of military installations for species of greatest concern by comparing habitat suitability within installations to that in areas directly adjacent to those sites. We built range-wide, spatially-explicit models of species distribution to project suitability of breeding habitat for marsh birds within and adjacent to military installations. Our results demonstrate that installations with the best marsh bird habitat are geographically aggregated (both among and within species), primarily at sites along the eastern seaboard and within the southern U.S. In addition, only a few sites appear to contain high-quality habitat for most species. Five or fewer sites contained most of the high-quality habitat for 9 of 12 species, whereas most of the high-quality habitat for remaining species was found at ≤ 10 sites. This work fills an information gap regarding the distribution of breeding habitat for marsh birds on military lands across the U.S., and should facilitate both strategic conservation of habitat over broad scales and the integration of marsh birds into management efforts at the site level. Our analyses also identify installations that are&nbsp;</span><i>not</i><span>&nbsp;likely to harbor breeding habitat for priority species, and thus should help minimize conflicts between needs of the military and marsh-bird conservation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2019.109664","usgsCitation":"Stevens, B.S., and Conway, C.J., 2020, Identifying important military installations for continental-scale conservation of marsh bird breeding habitat: Journal of Environmental Management, v. 252, 109664, 8 p., https://doi.org/10.1016/j.jenvman.2019.109664.","productDescription":"109664, 8 p.","ipdsId":"IP-105637","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":458609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2019.109664","text":"Publisher Index Page"},{"id":379228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Continental United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n                -89.6,\n                48.01\n              ],\n              [\n                -89.27292,\n                48.01981\n              ],\n              [\n                -88.37811,\n                48.30292\n              ],\n              [\n                -87.43979,\n                47.94\n              ],\n              [\n                -86.46199,\n                47.55334\n              ],\n              [\n                -85.65236,\n                47.22022\n              ],\n              [\n                -84.87608,\n                46.90008\n              ],\n              [\n                -84.77924,\n                46.6371\n              ],\n              [\n                -84.54375,\n                46.53868\n              ],\n              [\n                -84.6049,\n                46.4396\n              ],\n              [\n                -84.3367,\n                46.40877\n              ],\n              [\n                -84.14212,\n                46.51223\n              ],\n              [\n                -84.09185,\n                46.27542\n              ],\n              [\n                -83.89077,\n                46.11693\n              ],\n              [\n                -83.61613,\n                46.11693\n              ],\n              [\n                -83.46955,\n                45.99469\n              ],\n              [\n                -83.59285,\n                45.81689\n              ],\n              [\n                -82.55092,\n                45.34752\n              ],\n              [\n                -82.33776,\n                44.44\n              ],\n              [\n                -82.13764,\n                43.57109\n              ],\n              [\n                -82.43,\n                42.98\n              ],\n              [\n                -82.9,\n                42.43\n              ],\n              [\n                -83.12,\n                42.08\n              ],\n              [\n                -83.142,\n                41.97568\n              ],\n              [\n                -83.02981,\n                41.8328\n              ],\n              [\n                -82.69009,\n                41.67511\n              ],\n              [\n                -82.43928,\n                41.67511\n              ],\n              [\n                -81.27775,\n                42.20903\n              ],\n              [\n                -80.24745,\n                42.3662\n              ],\n              [\n                -78.93936,\n                42.86361\n              ],\n              [\n                -78.92,\n                42.965\n              ],\n              [\n                -79.01,\n                43.27\n              ],\n              [\n                -79.17167,\n                43.46634\n              ],\n              [\n                -78.72028,\n                43.62509\n              ],\n              [\n                -77.73789,\n                43.62906\n              ],\n              [\n                -76.82003,\n                43.62878\n              ],\n              [\n                -76.5,\n                44.01846\n              ],\n              [\n                -76.375,\n                44.09631\n              ],\n              [\n                -75.31821,\n                44.81645\n              ],\n              [\n                -74.867,\n                45.00048\n              ],\n              [\n                -73.34783,\n                45.00738\n              ],\n              [\n                -71.50506,\n                45.0082\n              ],\n              [\n                -71.405,\n                45.255\n              ],\n              [\n                -71.08482,\n                45.30524\n              ],\n              [\n                -70.66,\n                45.46\n              ],\n              [\n                -70.305,\n                45.915\n              ],\n              [\n                -69.99997,\n                46.69307\n              ],\n              [\n                -69.23722,\n                47.44778\n              ],\n              [\n                -68.905,\n                47.185\n              ],\n              [\n                -68.23444,\n                47.35486\n              ],\n              [\n                -67.79046,\n                47.06636\n              ],\n              [\n                -67.79134,\n                45.70281\n              ],\n              [\n                -67.13741,\n                45.13753\n              ],\n              [\n                -66.96466,\n                44.8097\n              ],\n              [\n                -68.03252,\n                44.3252\n              ],\n              [\n                -69.06,\n                43.98\n              ],\n              [\n                -70.11617,\n                43.68405\n              ],\n              [\n                -70.64548,\n                43.09024\n              ],\n              [\n                -70.81489,\n                42.8653\n              ],\n              [\n                -70.825,\n                42.335\n              ],\n              [\n                -70.495,\n                41.805\n              ],\n              [\n                -70.08,\n                41.78\n              ],\n              [\n                -70.185,\n                42.145\n              ],\n              [\n                -69.88497,\n                41.92283\n              ],\n              [\n                -69.96503,\n                41.63717\n              ],\n              [\n                -70.64,\n                41.475\n              ],\n              [\n                -71.12039,\n                41.49445\n              ],\n              [\n                -71.86,\n                41.32\n              ],\n              [\n                -72.295,\n                41.27\n              ],\n              [\n                -72.87643,\n                41.22065\n              ],\n              [\n                -73.71,\n                40.9311\n              ],\n              [\n                -72.24126,\n                41.11948\n              ],\n              [\n                -71.945,\n                40.93\n              ],\n              [\n                -73.345,\n                40.63\n              ],\n              [\n                -73.982,\n                40.628\n              ],\n              [\n                -73.95232,\n                40.75075\n              ],\n              [\n                -74.25671,\n                40.47351\n              ],\n              [\n                -73.96244,\n                40.42763\n              ],\n              [\n                -74.17838,\n                39.70926\n              ],\n              [\n                -74.90604,\n                38.93954\n              ],\n              [\n                -74.98041,\n                39.1964\n              ],\n              [\n                -75.20002,\n                39.24845\n              ],\n              [\n                -75.52805,\n                39.4985\n              ],\n              [\n                -75.32,\n                38.96\n              ],\n              [\n                -75.07183,\n                38.78203\n              ],\n              [\n                -75.05673,\n                38.40412\n              ],\n              [\n                -75.37747,\n                38.01551\n              ],\n              [\n                -75.94023,\n                37.21689\n              ],\n              [\n                -76.03127,\n                37.2566\n              ],\n              [\n                -75.72205,\n                37.93705\n              ],\n              [\n                -76.23287,\n                38.31921\n              ],\n              [\n                -76.35,\n                39.15\n              ],\n              [\n                -76.54272,\n                38.71762\n              ],\n              [\n                -76.32933,\n                38.08326\n              ],\n              [\n                -76.99,\n                38.23999\n              ],\n              [\n                -76.30162,\n                37.91794\n              ],\n              [\n                -76.25874,\n                36.9664\n              ],\n              [\n                -75.9718,\n                36.89726\n              ],\n              [\n                -75.86804,\n                36.55125\n              ],\n              [\n                -75.72749,\n                35.55074\n              ],\n              [\n                -76.36318,\n                34.80854\n              ],\n              [\n                -77.39763,\n                34.51201\n              ],\n              [\n                -78.05496,\n                33.92547\n              ],\n              [\n                -78.55435,\n                33.86133\n              ],\n              [\n                -79.06067,\n                33.49395\n              ],\n              [\n                -79.20357,\n                33.15839\n              ],\n              [\n                -80.30132,\n                32.50935\n              ],\n              [\n                -80.86498,\n                32.0333\n              ],\n              [\n                -81.33629,\n                31.44049\n              ],\n              [\n                -81.49042,\n                30.72999\n              ],\n              [\n                -81.31371,\n                30.03552\n              ],\n              [\n                -80.98,\n                29.18\n              ],\n              [\n                -80.53558,\n                28.47213\n              ],\n              [\n                -80.53,\n                28.04\n              ],\n              [\n                -80.05654,\n                26.88\n              ],\n              [\n                -80.08801,\n                26.20576\n              ],\n              [\n                -80.13156,\n                25.81677\n              ],\n              [\n                -80.38103,\n                25.20616\n              ],\n              [\n                -80.68,\n                25.08\n              ],\n              [\n                -81.17213,\n                25.20126\n              ],\n              [\n                -81.33,\n                25.64\n              ],\n              [\n                -81.71,\n                25.87\n              ],\n              [\n                -82.24,\n                26.73\n              ],\n              [\n                -82.70515,\n                27.49504\n              ],\n              [\n                -82.85526,\n                27.88624\n              ],\n              [\n                -82.65,\n                28.55\n              ],\n              [\n                -82.93,\n                29.1\n              ],\n              [\n                -83.70959,\n                29.93656\n              ],\n              [\n                -84.1,\n                30.09\n              ],\n              [\n                -85.10882,\n                29.63615\n              ],\n              [\n                -85.28784,\n                29.68612\n              ],\n              [\n                -85.7731,\n                30.15261\n              ],\n              [\n                -86.4,\n                30.4\n              ],\n              [\n                -87.53036,\n                30.27433\n              ],\n              [\n                -88.41782,\n                30.3849\n              ],\n              [\n                -89.18049,\n                30.31598\n              ],\n              [\n                -89.59383,\n                30.15999\n              ],\n              [\n                -89.41373,\n                29.89419\n              ],\n              [\n                -89.43,\n                29.48864\n              ],\n              [\n                -89.21767,\n                29.29108\n              ],\n              [\n                -89.40823,\n                29.15961\n              ],\n              [\n                -89.77928,\n                29.30714\n              ],\n              [\n                -90.15463,\n                29.11743\n              ],\n              [\n                -90.88022,\n                29.14854\n              ],\n              [\n                -91.62678,\n                29.677\n              ],\n              [\n                -92.49906,\n                29.5523\n              ],\n              [\n                -93.22637,\n                29.78375\n              ],\n              [\n                -93.84842,\n                29.71363\n              ],\n              [\n                -94.69,\n                29.48\n              ],\n              [\n                -95.60026,\n                28.73863\n              ],\n              [\n                -96.59404,\n                28.30748\n              ],\n              [\n                -97.14,\n                27.83\n              ],\n              [\n                -97.37,\n                27.38\n              ],\n              [\n                -97.38,\n                26.69\n              ],\n              [\n                -97.33,\n                26.21\n              ],\n              [\n                -97.14,\n                25.87\n              ],\n              [\n                -97.53,\n                25.84\n              ],\n              [\n                -98.24,\n                26.06\n              ],\n              [\n                -99.02,\n                26.37\n              ],\n              [\n                -99.3,\n                26.84\n              ],\n              [\n                -99.52,\n                27.54\n              ],\n              [\n                -100.11,\n                28.11\n              ],\n              [\n                -100.45584,\n                28.69612\n              ],\n              [\n                -100.9576,\n                29.38071\n              ],\n              [\n                -101.6624,\n                29.7793\n              ],\n              [\n                -102.48,\n                29.76\n              ],\n              [\n                -103.11,\n                28.97\n              ],\n              [\n                -103.94,\n                29.27\n              ],\n              [\n                -104.45697,\n                29.57196\n              ],\n              [\n                -104.70575,\n                30.12173\n              ],\n              [\n                -105.03737,\n                30.64402\n              ],\n              [\n                -105.63159,\n                31.08383\n              ],\n              [\n                -106.1429,\n                31.39995\n              ],\n              [\n                -106.50759,\n                31.75452\n              ],\n              [\n                -108.24,\n                31.75485\n              ],\n              [\n                -108.24194,\n                31.34222\n              ],\n              [\n                -109.035,\n                31.34194\n              ],\n              [\n                -111.02361,\n                31.33472\n              ],\n              [\n                -113.30498,\n                32.03914\n              ],\n              [\n                -114.815,\n                32.52528\n              ],\n              [\n                -114.72139,\n                32.72083\n              ],\n              [\n                -115.99135,\n                32.61239\n              ],\n              [\n                -117.12776,\n                32.53534\n              ],\n              [\n                -117.29594,\n                33.04622\n              ],\n              [\n                -117.944,\n                33.62124\n              ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"252","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Bryan S.","contributorId":171809,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":800825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":800826,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223156,"text":"70223156 - 2020 - PFHydro: A new watershed-scale model for post-fire runoff simulation","interactions":[],"lastModifiedDate":"2021-08-12T12:16:02.699645","indexId":"70223156","displayToPublicDate":"2019-10-11T07:09:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"PFHydro: A new watershed-scale model for post-fire runoff simulation","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Runoff increases after wildfires that burn vegetation and create a condition of soil-water repellence (SWR). A new post-fire watershed hydrological model, PFHydro, was created to explicitly simulate vegetation interception and SWR effects for four burn severity categories: high, medium, low severity and unburned. The model was applied to simulate post-fire runoff from the Upper Cache Creek Watershed in California, USA. Nash–Sutcliffe modeling efficiency (NSE) was used to assess model performance. The NSE was 0.80 and 0.88 for pre-fire water years (WY) 2000 and 2015, respectively. NSE was 0.88 and 0.93 for WYs 2016 (first year post-fire) and 2017 respectively. The simulated percentage of surface runoff in total runoff of WY 2016 was about six times that of pre-fire WY 2000 and three times that of WY 2015. The modeling results suggest that SWR is an important factor for post-fire runoff generation. The model was successful at simulating SWR behavior.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2019.104555","usgsCitation":"Wang, J., Stern, M.A., King, V.M., Alpers, C.N., Quinn, N.W., Flint, A.L., and Flint, L.E., 2020, PFHydro: A new watershed-scale model for post-fire runoff simulation: Environmental Modelling and Software, v. 123, 104555, 15 p., https://doi.org/10.1016/j.envsoft.2019.104555.","productDescription":"104555, 15 p.","ipdsId":"IP-108679","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":458612,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1580997","text":"External Repository"},{"id":387891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Upper Cache Creek Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.541259765625,\n              38.16911413556086\n            ],\n            [\n              -121.1572265625,\n              38.16911413556086\n            ],\n            [\n              -121.1572265625,\n              39.410733055084954\n            ],\n            [\n              -123.541259765625,\n              39.410733055084954\n            ],\n            [\n              -123.541259765625,\n              38.16911413556086\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"123","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Jun","contributorId":97457,"corporation":false,"usgs":false,"family":"Wang","given":"Jun","email":"","affiliations":[],"preferred":false,"id":821124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stern, Michelle A. 0000-0003-3030-7065 mstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3030-7065","contributorId":4244,"corporation":false,"usgs":true,"family":"Stern","given":"Michelle","email":"mstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Vanessa M. 0000-0002-3406-725X","orcid":"https://orcid.org/0000-0002-3406-725X","contributorId":264214,"corporation":false,"usgs":false,"family":"King","given":"Vanessa","email":"","middleInitial":"M.","affiliations":[{"id":27611,"text":"US Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":821126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821127,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quinn, Nigel W. T. 0000-0003-3333-4763","orcid":"https://orcid.org/0000-0003-3333-4763","contributorId":248854,"corporation":false,"usgs":false,"family":"Quinn","given":"Nigel","email":"","middleInitial":"W. T.","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":821128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":821129,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":821130,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70207153,"text":"70207153 - 2020 - Assessing the hydrologic impact of historical railroad embankments on wetland vegetation response in Canaan Valley, WV (USA): The value of high-resolution data","interactions":[],"lastModifiedDate":"2020-02-06T11:05:05","indexId":"70207153","displayToPublicDate":"2019-10-09T19:57:19","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the hydrologic impact of historical railroad embankments on wetland vegetation response in Canaan Valley, WV (USA): The value of high-resolution data","docAbstract":"The recovery of natural ecological processes after disturbance is poorly understood. Some disturbances may be so severe as to set ecosystems onto a new trajectory.  The Canaan Valley National Wildlife Refuge in West Virginia protects a unique high-altitude wetland that was heavily disturbed by logging 100 years BP and has since transitioned to a new ecological state (shrub wetland). Refuge managers interested in preserving and restoring ecosystem states expressed concerned about lingering impacts of previous disturbances (logging, railroads, beaver, deer, fire). Available data suggested hydrologic impacts from the remnant rail grade but managers had insufficient quantitative data to assess these impacts.  We initiated a fine scale assessment of topography, vegetation distribution, and hydrology to assess impacts from the remnant rail grade using lidar data, vegetation surveys, and piezometers.  We developed topographic models, hydrological models, and mapped vegetation distribution. We developed statistical models to assess relationships between vegetation communities, hydrology, and distance to the rail grade. Surprisingly, we found that hydrologic flow paths did not conform to expectation and were not restricted by remnant land use features.  For the most part, vegetation communities are responding to topographic and environmental gradients that existed prior to disturbance.  Use of highly detailed topographic data (lidar), field hydrology, and vegetation studies allowed us to more accurately assess hydrologic and vegetation regimes, eliminating the need for mitigation, saving significant resources.","language":"English","publisher":"Wiley","doi":"10.1111/rec.13061","usgsCitation":"Young, J.A., Welsch, D., and Deacon, S., 2020, Assessing the hydrologic impact of historical railroad embankments on wetland vegetation response in Canaan Valley, WV (USA): The value of high-resolution data: Restoration Ecology, v. 28, no. 1, p. 51-62, https://doi.org/10.1111/rec.13061.","productDescription":"12 p.","startPage":"51","endPage":"62","ipdsId":"IP-108544","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":437211,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KUATM7","text":"USGS data release","linkHelpText":"Environmental data collected at piezometer field plot locations used to study hydrologic impacts on vegetation due to historic rail road embankment at Canaan Valley NWR"},{"id":370120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","county":"Tucker County","otherGeospatial":"Canaan Valley","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-79.4869,39.195],[-79.4816,39.1909],[-79.4745,39.1836],[-79.4692,39.1804],[-79.4656,39.1808],[-79.4585,39.1826],[-79.4525,39.1858],[-79.4478,39.1853],[-79.4424,39.1889],[-79.4394,39.1921],[-79.4352,39.192],[-79.4269,39.1929],[-79.4239,39.1943],[-79.4216,39.1942],[-79.4186,39.192],[-79.4145,39.191],[-79.4115,39.1892],[-79.4091,39.1883],[-79.4056,39.1887],[-79.4032,39.191],[-79.3996,39.1928],[-79.3973,39.1909],[-79.3901,39.1923],[-79.3871,39.1959],[-79.3865,39.1995],[-79.3829,39.2049],[-79.374,39.2062],[-79.3704,39.2076],[-79.3675,39.203],[-79.3645,39.2003],[-79.3604,39.1994],[-79.3597,39.2066],[-79.3579,39.2089],[-79.3508,39.2102],[-79.3436,39.2124],[-79.3353,39.2142],[-79.3264,39.2146],[-79.324,39.2123],[-79.3169,39.2123],[-79.3057,39.2072],[-79.2974,39.2004],[-79.2904,39.1936],[-79.2904,39.1908],[-79.2922,39.1886],[-79.2976,39.1873],[-79.3041,39.1855],[-79.3083,39.1814],[-79.3125,39.1769],[-79.3125,39.1719],[-79.3102,39.1678],[-79.3108,39.166],[-79.3203,39.1647],[-79.3227,39.1625],[-79.3275,39.1552],[-79.3294,39.1521],[-79.3288,39.1457],[-79.3283,39.1407],[-79.3259,39.1394],[-79.3253,39.1376],[-79.326,39.1339],[-79.3319,39.1294],[-79.3343,39.1267],[-79.3349,39.124],[-79.3362,39.1186],[-79.3404,39.1145],[-79.3452,39.1059],[-79.347,39.0991],[-79.3495,39.0937],[-79.353,39.0901],[-79.3525,39.0878],[-79.3495,39.086],[-79.3371,39.0841],[-79.3294,39.0818],[-79.3199,39.0781],[-79.3164,39.0763],[-79.3105,39.0754],[-79.3087,39.0758],[-79.3081,39.0758],[-79.3057,39.0763],[-79.3004,39.0762],[-79.2993,39.0726],[-79.2981,39.0708],[-79.3011,39.0667],[-79.3017,39.0649],[-79.3036,39.0577],[-79.3036,39.0536],[-79.3048,39.0495],[-79.3066,39.0441],[-79.3126,39.0418],[-79.3174,39.0364],[-79.3156,39.0355],[-79.3115,39.0319],[-79.3109,39.0301],[-79.3122,39.0205],[-79.3122,39.0196],[-79.3122,39.0183],[-79.3158,39.0165],[-79.3206,39.0106],[-79.3218,39.0029],[-79.3248,38.9989],[-79.3261,38.9934],[-79.3267,38.9893],[-79.3315,38.9803],[-79.3381,38.9722],[-79.3417,38.9695],[-79.3482,38.9671],[-79.3573,38.9642],[-79.3646,38.967],[-79.3803,38.9658],[-79.392,38.9701],[-79.3974,38.9719],[-79.4068,38.9725],[-79.4198,38.973],[-79.4263,38.9744],[-79.4322,38.9767],[-79.4387,38.9754],[-79.4452,38.975],[-79.4535,38.9759],[-79.46,38.9773],[-79.4677,38.9787],[-79.476,38.9787],[-79.4849,38.976],[-79.4914,38.9761],[-79.5003,38.9716],[-79.6031,38.9955],[-79.683,39.0139],[-79.7629,39.0322],[-79.7842,39.0372],[-79.7776,39.0431],[-79.7741,39.0503],[-79.7758,39.0567],[-79.7752,39.0589],[-79.7764,39.0667],[-79.7728,39.0743],[-79.7716,39.0762],[-79.7775,39.0807],[-79.7793,39.0821],[-79.7817,39.0843],[-79.7822,39.0907],[-79.7858,39.0916],[-79.7888,39.093],[-79.7876,39.0984],[-79.7935,39.0989],[-79.7964,39.1007],[-79.797,39.1057],[-79.7982,39.1084],[-79.8035,39.1102],[-79.8124,39.1116],[-79.8177,39.1157],[-79.8195,39.1166],[-79.8213,39.1166],[-79.8243,39.1152],[-79.8278,39.1184],[-79.8302,39.1257],[-79.8331,39.1284],[-79.8361,39.1297],[-79.8331,39.1365],[-79.8313,39.1402],[-79.8319,39.1488],[-79.8307,39.1538],[-79.8253,39.1619],[-79.8259,39.1692],[-79.8265,39.1769],[-79.8223,39.1823],[-79.8223,39.1841],[-79.8247,39.1891],[-79.8265,39.1923],[-79.8241,39.1968],[-79.8164,39.2022],[-79.814,39.205],[-79.8128,39.2108],[-79.8133,39.2149],[-79.8157,39.2177],[-79.8145,39.2186],[-79.8104,39.2217],[-79.8086,39.2235],[-79.8074,39.2249],[-79.8091,39.2294],[-79.8056,39.2317],[-79.6836,39.2718],[-79.6225,39.253],[-79.5081,39.2168],[-79.4869,39.195]]]},\"properties\":{\"name\":\"Tucker\",\"state\":\"WV\"}}]}","volume":"28","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":777017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsch, Daniel","contributorId":221109,"corporation":false,"usgs":false,"family":"Welsch","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":777018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deacon, Sarah","contributorId":221110,"corporation":false,"usgs":false,"family":"Deacon","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":777019,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205935,"text":"70205935 - 2020 - Changes in event‐based streamflow magnitude and timing after suburban development with infiltration‐based stormwater management","interactions":[],"lastModifiedDate":"2020-01-20T12:16:24","indexId":"70205935","displayToPublicDate":"2019-10-09T13:33:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Changes in event‐based streamflow magnitude and timing after suburban development with infiltration‐based stormwater management","docAbstract":"Green stormwater infrastructure implementation in urban watersheds has outpaced our understanding of practice effectiveness on streamflow response to precipitation events. Long‐term monitoring of experimental urban watersheds in Clarksburg, Maryland, USA, provided an opportunity to examine changes in event‐based streamflow metrics in two treatment watersheds that transitioned from agriculture to suburban development with a high density of infiltration‐focused stormwater control measures (SCMs). Urban Treatment 1 has predominantly single family detached housing with 33% impervious cover and 126 SCMs. Urban Treatment 2 has a mix of single family detached and attached housing with 44% impervious cover and 219 SCMs. Differences in streamflow‐event magnitude and timing were assessed using a before‐after‐control‐reference‐impact design to compare urban treatment watersheds to a forested control and an urban control with detention‐focused SCMs. Streamflow and precipitation events were identified from 14 years of sub‐daily monitoring data with an automated approach to characterize peak streamflow, runoff yield, runoff ratio, streamflow duration, time to peak, rise rate, and precipitation depth for each event. Results indicated that streamflow magnitude and timing were altered by urbanization in the urban treatment watersheds, even with SCMs treating 100% of the impervious area. The largest hydrologic changes were observed in streamflow magnitude metrics, with greater hydrologic change in Urban Treatment 2 compared to Urban Treatment 1. While streamflow changes were observed in both urban treatment watersheds, SCMs were able to mitigate peak flows and runoff volumes compared to the urban control. The urban control had similar impervious cover to Urban Treatment 2, but Urban Treatment 2 had more than twice the precipitation depth needed to initiate a flow response and lower median peak flow and runoff yield for events less than 20 mm. Differences in impervious cover between the Urban Treatment watersheds appeared to be a large driver of differences in streamflow response, rather than SCM density. Overall, use of infiltration‐focused SCMs implemented at a watershed‐scale did provide enhanced attenuation of peak flow and runoff volumes compared to centralized‐detention SCMs.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13593","usgsCitation":"Hopkins, K.G., Bhaskar, A.S., Woznicki, S., and Fanelli, R., 2020, Changes in event‐based streamflow magnitude and timing after suburban development with infiltration‐based stormwater management: Hydrological Processes, v. 34, no. 2, p. 387-403, https://doi.org/10.1002/hyp.13593.","productDescription":"17 p.","startPage":"387","endPage":"403","ipdsId":"IP-108936","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":458618,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13593","text":"Publisher Index Page"},{"id":437212,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CGWUKT","text":"USGS data release","linkHelpText":"Streamflow and precipitation event statistics for treatment, urban control, and forested control watersheds in Clarksburg, MD USA (2004-2018)"},{"id":368236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Montgomery County","city":"Clarksburg","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-77.182,39.3481],[-77.185,39.3423],[-77.1827,39.3341],[-77.1732,39.3205],[-77.1673,39.3127],[-77.1614,39.3077],[-77.1549,39.3023],[-77.1442,39.2973],[-77.1407,39.2932],[-77.1371,39.2864],[-77.1377,39.2832],[-77.133,39.2782],[-77.133,39.2723],[-77.1301,39.2709],[-77.1194,39.27],[-77.1135,39.2659],[-77.1034,39.2668],[-77.0779,39.2585],[-77.0666,39.2535],[-77.0631,39.2463],[-77.0607,39.2399],[-77.0483,39.2385],[-77.0353,39.2257],[-77.0288,39.218],[-77.0188,39.2112],[-77.0134,39.2084],[-77.0111,39.2053],[-77.0111,39.2003],[-77.0111,39.1976],[-77.0111,39.1953],[-77.007,39.193],[-77.007,39.1921],[-77.0052,39.1894],[-77.0052,39.1876],[-77.0064,39.1862],[-77.0077,39.1839],[-77.0082,39.1826],[-77.0059,39.1812],[-77.0053,39.1794],[-77.0059,39.179],[-77.0059,39.1771],[-77.0041,39.1762],[-76.9994,39.1758],[-76.9988,39.1758],[-76.9988,39.1748],[-76.9988,39.1735],[-77,39.1703],[-76.9965,39.1667],[-76.9882,39.1666],[-76.9846,39.1653],[-76.9763,39.163],[-76.9728,39.162],[-76.9722,39.1598],[-76.9734,39.1553],[-76.9752,39.1525],[-76.9734,39.1516],[-76.9693,39.1498],[-76.9634,39.1489],[-76.9581,39.1461],[-76.9551,39.1456],[-76.9527,39.1461],[-76.951,39.1452],[-76.9504,39.1438],[-76.951,39.1425],[-76.9516,39.1402],[-76.9528,39.1384],[-76.9564,39.1375],[-76.9581,39.1371],[-76.9475,39.1311],[-76.9421,39.1334],[-76.938,39.1342],[-76.935,39.1351],[-76.9332,39.1379],[-76.932,39.1378],[-76.9273,39.1378],[-76.9249,39.1351],[-76.9184,39.1319],[-76.9167,39.131],[-76.9119,39.1282],[-76.9031,39.1268],[-76.8971,39.1282],[-76.8923,39.1309],[-76.8882,39.1317],[-76.9535,39.0437],[-76.9655,39.0265],[-76.9978,38.9827],[-77.0085,38.9696],[-77.0415,38.9951],[-77.0445,38.9928],[-77.054,38.9856],[-77.0546,38.9851],[-77.0897,38.9581],[-77.1205,38.9337],[-77.1229,38.936],[-77.1234,38.9365],[-77.1258,38.9391],[-77.1279,38.9411],[-77.1294,38.9423],[-77.1308,38.9438],[-77.1323,38.9455],[-77.1341,38.9482],[-77.1343,38.9488],[-77.1352,38.9507],[-77.1361,38.9523],[-77.1376,38.9546],[-77.1409,38.958],[-77.1413,38.9584],[-77.1455,38.9622],[-77.1472,38.9636],[-77.1488,38.9646],[-77.1548,38.9674],[-77.1553,38.9674],[-77.16,38.9678],[-77.1624,38.9678],[-77.1702,38.9682],[-77.1731,38.9682],[-77.185,38.9684],[-77.1877,38.9685],[-77.1885,38.9685],[-77.1902,38.9685],[-77.192,38.9688],[-77.1949,38.9692],[-77.2008,38.9711],[-77.205,38.9729],[-77.2073,38.9738],[-77.2114,38.9748],[-77.2161,38.9753],[-77.2203,38.9754],[-77.2235,38.9757],[-77.2257,38.9761],[-77.2271,38.9767],[-77.2345,38.9798],[-77.2401,38.9839],[-77.2447,38.9868],[-77.2482,38.9918],[-77.2493,38.9966],[-77.2489,39.0007],[-77.2485,39.0027],[-77.2478,39.0058],[-77.2471,39.0067],[-77.2467,39.0083],[-77.2463,39.0093],[-77.245,39.0124],[-77.2433,39.0148],[-77.2427,39.0175],[-77.2426,39.0198],[-77.2433,39.0233],[-77.2457,39.026],[-77.2483,39.0281],[-77.2508,39.0295],[-77.2521,39.0301],[-77.2551,39.031],[-77.2598,39.0324],[-77.2635,39.0333],[-77.2676,39.0342],[-77.2706,39.0348],[-77.2741,39.0367],[-77.2746,39.037],[-77.2787,39.0397],[-77.2829,39.0424],[-77.2882,39.0461],[-77.2891,39.0467],[-77.2944,39.0502],[-77.297,39.0517],[-77.2989,39.0524],[-77.3048,39.0546],[-77.3064,39.055],[-77.3114,39.0564],[-77.3202,39.0593],[-77.3267,39.061],[-77.3273,39.0611],[-77.3314,39.0617],[-77.3334,39.062],[-77.3361,39.0623],[-77.3439,39.0629],[-77.3444,39.0629],[-77.3464,39.0629],[-77.3545,39.063],[-77.3687,39.0637],[-77.3823,39.0644],[-77.3935,39.066],[-77.4073,39.0685],[-77.4096,39.0687],[-77.4165,39.0695],[-77.428,39.0707],[-77.4372,39.0717],[-77.4409,39.0718],[-77.4431,39.0718],[-77.449,39.0719],[-77.4532,39.0729],[-77.4547,39.0739],[-77.4564,39.0752],[-77.4606,39.0794],[-77.4624,39.0821],[-77.4647,39.087],[-77.4651,39.0878],[-77.4669,39.0903],[-77.4703,39.0954],[-77.4749,39.1006],[-77.4813,39.1079],[-77.4847,39.111],[-77.4872,39.1121],[-77.489,39.1129],[-77.4899,39.1132],[-77.4935,39.1143],[-77.4958,39.1152],[-77.4973,39.1156],[-77.4993,39.1162],[-77.5017,39.1167],[-77.504,39.1174],[-77.5065,39.1182],[-77.5089,39.119],[-77.5104,39.1196],[-77.5176,39.1238],[-77.5199,39.1265],[-77.5204,39.1274],[-77.5221,39.1302],[-77.5238,39.1339],[-77.5243,39.1363],[-77.5246,39.1387],[-77.5246,39.1428],[-77.5228,39.1474],[-77.521,39.1529],[-77.5192,39.1586],[-77.5169,39.1654],[-77.5151,39.1704],[-77.514,39.1723],[-77.5128,39.1736],[-77.511,39.1758],[-77.5104,39.1763],[-77.508,39.1777],[-77.5044,39.1799],[-77.4994,39.1815],[-77.4962,39.1825],[-77.4928,39.1837],[-77.4909,39.1843],[-77.488,39.1854],[-77.4831,39.1872],[-77.4789,39.189],[-77.476,39.1908],[-77.4736,39.1935],[-77.4734,39.1941],[-77.4728,39.1969],[-77.4727,39.1997],[-77.4727,39.2028],[-77.4718,39.2067],[-77.4706,39.2085],[-77.469,39.2102],[-77.4676,39.2117],[-77.4623,39.2153],[-77.4611,39.2162],[-77.4593,39.2176],[-77.4575,39.2198],[-77.4468,39.2248],[-77.2839,39.2999],[-77.182,39.3481]]]},\"properties\":{\"name\":\"Montgomery\",\"state\":\"MD\"}}]}","volume":"34","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":772952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bhaskar, Aditi S.","contributorId":199824,"corporation":false,"usgs":false,"family":"Bhaskar","given":"Aditi","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":772953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woznicki, Sean","contributorId":218281,"corporation":false,"usgs":false,"family":"Woznicki","given":"Sean","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":772954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fanelli, Rosemary M. 0000-0002-0874-1925","orcid":"https://orcid.org/0000-0002-0874-1925","contributorId":206608,"corporation":false,"usgs":true,"family":"Fanelli","given":"Rosemary M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772955,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70207292,"text":"70207292 - 2020 - Predicting functional responses in agro-ecosystems from animal movement data to improve management of invasive pests","interactions":[],"lastModifiedDate":"2020-01-08T14:35:48","indexId":"70207292","displayToPublicDate":"2019-10-09T10:22:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Predicting functional responses in agro-ecosystems from animal movement data to improve management of invasive pests","docAbstract":"<p>Functional responses describe how changing resource availability affects consumer resource use, thus providing a mechanistic approach to prediction of the invasibility and potential damage of invasive alien species (IAS). However, functional responses can be context dependent, varying with resource characteristics and availability, consumer attributes, and environmental variables. Identifying context dependencies can allow invasion and damage risk to be predicted across different ecoregions. Understanding how ecological factors shape the functional response in agro‐ecosystems can improve predictions of hotspots of highest impact and inform strategies to mitigate damage across locations with varying crop types and availability. We linked heterogeneous movement data across different agro‐ecosystems to predict ecologically driven variability in the functional responses. We applied our approach to wild pigs (<i>Sus scrofa</i>), one of the most successful and detrimental IAS worldwide where agricultural resource depredation is an important driver of spread and establishment. We used continental‐scale movement data within agro‐ecosystems to quantify the functional response of agricultural resources relative to availability of crops and natural forage. We hypothesized that wild pigs would selectively use crops more often when natural forage resources were low. We also examined how individual attributes such as sex, crop type, and resource stimulus such as distance to crops altered the magnitude of the functional response. There was a strong agricultural functional response where crop use was an accelerating function of crop availability at low density (Type III) and was highly context dependent. As hypothesized, there was a reduced response of crop use with increasing crop availability when non‐agricultural resources were more available, emphasizing that crop damage levels are likely to be highly heterogeneous depending on surrounding natural resources and temporal availability of crops. We found significant effects of crop type and sex, with males spending 20% more time and visiting crops 58% more often than females, and both sexes showing different functional responses depending on crop type. Our application demonstrates how commonly collected animal movement data can be used to understand context dependencies in resource use to improve our understanding of pest foraging behavior, with implications for prioritizing spatiotemporal hotspots of potential economic loss in agro‐ecosystems.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2015","usgsCitation":"Wilber, M.Q., Chinn, S.M., Beasley, J.C., Boughton, R., Brook, R.K., Ditchkoff, S.S., Fischer, J.W., Hartley, S.B., Holmstrom, L.K., Kilgo, J.C., Lewis, J., Miller, R.S., Snow, N.P., Vercauteren, K.C., Wisely, S.M., Webb, C.T., and Pepin, K., 2020, Predicting functional responses in agro-ecosystems from animal movement data to improve management of invasive pests: Ecological Applications, v. 30, no. 1, e02015, 14 p., https://doi.org/10.1002/eap.2015.","productDescription":"e02015, 14 p.","ipdsId":"IP-105253","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":370303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California. Florida, Georgia, Louisiana, Missouri, South Carolina, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.92675781249999,\n              42.09822241118974\n            ],\n            [\n              -124.67285156250001,\n              42.06560675405716\n            ],\n            [\n              -124.3212890625,\n              39.977120098439634\n            ],\n            [\n              -122.56347656249999,\n              36.94989178681327\n            ],\n            [\n              -120.5419921875,\n              34.379712580462204\n            ],\n            [\n              -117.24609374999999,\n              32.65787573695528\n            ],\n            [\n              -114.521484375,\n              32.54681317351514\n            ],\n            [\n              -114.3896484375,\n              34.77771580360469\n            ],\n            [\n              -120.05859375,\n              39.095962936305476\n            ],\n            [\n              -119.92675781249999,\n              42.09822241118974\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.6552734375,\n              32.02670629333614\n            ],\n            [\n              -103.447265625,\n              28.998531814051795\n            ],\n            [\n              -102.1728515625,\n              29.84064389983441\n            ],\n            [\n              -101.25,\n              29.726222319395504\n            ],\n            [\n              -99.2724609375,\n              27.293689224852407\n            ],\n            [\n              -99.00878906249999,\n              26.391869671769022\n            ],\n            [\n              -97.03125,\n              25.799891182088334\n            ],\n            [\n              -97.20703125,\n              27.410785702577023\n            ],\n            [\n              -94.04296874999999,\n              29.76437737516313\n            ],\n            [\n              -91.318359375,\n              29.11377539511439\n            ],\n            [\n              -88.8134765625,\n              28.844673680771795\n            ],\n            [\n              -89.736328125,\n              30.977609093348686\n            ],\n            [\n              -91.58203125,\n              31.015278981711266\n            ],\n            [\n              -91.0546875,\n              32.39851580247402\n            ],\n            [\n              -91.23046875,\n              33.063924198120645\n            ],\n            [\n              -93.9990234375,\n              33.063924198120645\n            ],\n            [\n              -93.9990234375,\n              33.46810795527896\n            ],\n            [\n              -95.2734375,\n              33.94335994657882\n            ],\n            [\n              -97.03125,\n              33.8339199536547\n            ],\n            [\n              -98.349609375,\n              34.125447565116126\n            ],\n            [\n              -100.01953125,\n              34.56085936708384\n            ],\n            [\n              -100.01953125,\n              36.59788913307022\n            ],\n            [\n              -103.1396484375,\n              36.56260003738545\n            ],\n            [\n              -103.18359375,\n              31.98944183792288\n            ],\n            [\n              -106.6552734375,\n              32.02670629333614\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.8154296875,\n              25.20494115356912\n            ],\n            [\n              -79.8486328125,\n              25.918526162075153\n            ],\n            [\n              -81.123046875,\n              30.524413269923986\n            ],\n            [\n              -80.7275390625,\n              32.0639555946604\n            ],\n            [\n              -78.57421875,\n              33.94335994657882\n            ],\n            [\n              -79.62890625,\n              34.84987503195418\n            ],\n            [\n              -80.8154296875,\n              34.84987503195418\n            ],\n            [\n              -81.2548828125,\n              35.24561909420681\n            ],\n            [\n              -83.3642578125,\n              34.95799531086792\n            ],\n            [\n              -85.60546875,\n              34.95799531086792\n            ],\n            [\n              -85.1220703125,\n              32.39851580247402\n            ],\n            [\n              -85.166015625,\n              31.090574094954192\n            ],\n            [\n              -87.451171875,\n              31.015278981711266\n            ],\n            [\n              -87.451171875,\n              30.334953881988564\n            ],\n            [\n              -85.5615234375,\n              30.031055426540206\n            ],\n            [\n              -85.0341796875,\n              29.57345707301757\n            ],\n            [\n              -83.9794921875,\n              29.954934549656144\n            ],\n            [\n              -82.5732421875,\n              28.76765910569123\n            ],\n            [\n              -82.96875,\n              27.800209937418252\n            ],\n            [\n              -80.8154296875,\n              25.20494115356912\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.6689453125,\n              40.68063802521456\n            ],\n            [\n              -94.8779296875,\n              39.470125122358176\n            ],\n            [\n              -94.482421875,\n              39.06184913429154\n            ],\n            [\n              -94.74609375,\n              36.421282443649496\n            ],\n            [\n              -90.17578124999999,\n              36.527294814546245\n            ],\n            [\n              -90.3076171875,\n              35.99578538642032\n            ],\n            [\n              -89.6044921875,\n              35.96022296929667\n            ],\n            [\n              -89.1650390625,\n              37.055177106660814\n            ],\n            [\n              -89.6044921875,\n              37.78808138412046\n            ],\n            [\n              -90.4833984375,\n              38.41055825094609\n            ],\n            [\n              -90.1318359375,\n              38.85682013474361\n            ],\n            [\n              -90.5712890625,\n              39.027718840211605\n            ],\n            [\n              -90.791015625,\n              39.33429742980725\n            ],\n            [\n              -91.4501953125,\n              39.87601941962116\n            ],\n            [\n              -91.49414062499999,\n              40.44694705960048\n            ],\n            [\n              -91.7138671875,\n              40.58058466412761\n            ],\n            [\n              -95.6689453125,\n              40.68063802521456\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilber, Mark Q.","contributorId":127720,"corporation":false,"usgs":false,"family":"Wilber","given":"Mark","email":"","middleInitial":"Q.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":777560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chinn, Sarah M.","contributorId":221254,"corporation":false,"usgs":false,"family":"Chinn","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":777561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beasley, James C.","contributorId":221255,"corporation":false,"usgs":false,"family":"Beasley","given":"James","email":"","middleInitial":"C.","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":777562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boughton, Raoul","contributorId":172817,"corporation":false,"usgs":false,"family":"Boughton","given":"Raoul","affiliations":[{"id":27096,"text":"Wildlife Ecology and Conservation, Range Cattle Research and Education Center, University of Florida, 3401 Experiment Station, Ona, Florida 33865 USA","active":true,"usgs":false}],"preferred":false,"id":777563,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brook, Ryan K.","contributorId":221256,"corporation":false,"usgs":false,"family":"Brook","given":"Ryan","email":"","middleInitial":"K.","affiliations":[{"id":40346,"text":"College of Agriculture and Bioresources, University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":777564,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ditchkoff, Stephen S.","contributorId":193053,"corporation":false,"usgs":false,"family":"Ditchkoff","given":"Stephen","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":777565,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fischer, Justin W.","contributorId":171828,"corporation":false,"usgs":false,"family":"Fischer","given":"Justin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":777566,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hartley, Stephen B. 0000-0003-1380-2769 hartleys@usgs.gov","orcid":"https://orcid.org/0000-0003-1380-2769","contributorId":4164,"corporation":false,"usgs":true,"family":"Hartley","given":"Stephen","email":"hartleys@usgs.gov","middleInitial":"B.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":777559,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Holmstrom, Lindsey K.","contributorId":221257,"corporation":false,"usgs":false,"family":"Holmstrom","given":"Lindsey","email":"","middleInitial":"K.","affiliations":[{"id":40347,"text":"United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":777567,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kilgo, John C.","contributorId":221258,"corporation":false,"usgs":false,"family":"Kilgo","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":25513,"text":"USDA Forest Service Southern Research Station","active":true,"usgs":false}],"preferred":false,"id":777568,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lewis, Jesse S.","contributorId":147540,"corporation":false,"usgs":false,"family":"Lewis","given":"Jesse S.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":777569,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Miller, Ryan S.","contributorId":49005,"corporation":false,"usgs":false,"family":"Miller","given":"Ryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":777570,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Snow, Nathan P.","contributorId":221259,"corporation":false,"usgs":false,"family":"Snow","given":"Nathan","email":"","middleInitial":"P.","affiliations":[{"id":40347,"text":"United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":777571,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Vercauteren, Kurt C.","contributorId":193057,"corporation":false,"usgs":false,"family":"Vercauteren","given":"Kurt","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":777572,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wisely, Samantha M.","contributorId":221260,"corporation":false,"usgs":false,"family":"Wisely","given":"Samantha","email":"","middleInitial":"M.","affiliations":[{"id":40348,"text":"Department of Wildlife Ecology and Conservation, University of Florida","active":true,"usgs":false}],"preferred":false,"id":777573,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Webb, Colleen T.","contributorId":221261,"corporation":false,"usgs":false,"family":"Webb","given":"Colleen","email":"","middleInitial":"T.","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":777574,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Pepin, Kim M. 0000-0002-9931-8312","orcid":"https://orcid.org/0000-0002-9931-8312","contributorId":187441,"corporation":false,"usgs":false,"family":"Pepin","given":"Kim M.","affiliations":[],"preferred":false,"id":777575,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70208276,"text":"70208276 - 2020 - Quaternary displacement on the Joiner Ridge Fault, eastern Arkansas","interactions":[],"lastModifiedDate":"2020-02-03T07:00:13","indexId":"70208276","displayToPublicDate":"2019-10-09T06:56:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Quaternary displacement on the Joiner Ridge Fault, eastern Arkansas","docAbstract":"The New Madrid seismic zone of the central United States is an intraplate seismic zone with blind structures that are not seismically active but may pose seismic hazards. The Joiner Ridge fault is the 35 km long east-bounding fault of the Joiner Ridge blind horst located in eastern Arkansas approximately 50 km northwest of Memphis, Tennessee. Shallow S-wave (SH-mode) seismic reflection profiles, continuous cores, and radiometric dating of Quaternary alluvium across the Joiner Ridge fault reveal down-to-the-east reverse faulting and folding within of the top of the Eocene strata and overlying Quaternary Mississippi River alluvium. The base of the Quaternary alluvium has an age of 20.3 ka and is vertically displaced 12 m, resulting in an average slip rate of 0.6 + 0.1 mm/yr over the past 20.3 ka. The overlying late Wisconsinan and Holocene alluvial facies are also displaced by the Joiner Ridge fault. These facies increase in thickness across the Joiner Ridge fault and were used to calculate late Wisconsinan and Holocene slip rates. The JRF slipped 7 m between 20.3 ka and 17.5 ka (2.8 ka), reflecting a slip rate of 2.5 + 0.3 mm/yr. From 12.3 ka to 11.5 ka (0.8 ka) the JRF slipped 3 m at an average slip rate of 3.8 + 0.9 mm/yr. There were 2 m of slip on the JRF between 11.5 ka and 8.9 ka (2.6 ka), reflecting a slip rate of 0.8 + 0.3 mm/yr. No apparent slip has occurred on the JRF within the last 8.90 ka. This research illustrates that slip rates on the JRF have varied through the late Wisconsinan and early Holocene, but the Joiner Ridge fault has been inactive since the middle Holocene.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190149","usgsCitation":"Price, A.C., Woolery, E.W., Counts, R., Van Arsdale, R., Larsen, D., Mahan, S.A., and Beck, G., 2020, Quaternary displacement on the Joiner Ridge Fault, eastern Arkansas: Seismological Research Letters, v. 90, no. 6, p. 2250-2261, https://doi.org/10.1785/0220190149.","productDescription":"12 p.","startPage":"2250","endPage":"2261","ipdsId":"IP-107613","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":371898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas ","otherGeospatial":"Joiner Ridge Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.219482421875,\n              33.04550781490999\n            ],\n            [\n              -91.12060546875,\n              33.95247360616282\n            ],\n            [\n              -90.098876953125,\n              35.22767235493586\n            ],\n            [\n              -89.681396484375,\n              36.01356058518153\n            ],\n            [\n              -90.340576171875,\n              36.01356058518153\n            ],\n            [\n              -90.054931640625,\n              36.35052700542763\n            ],\n            [\n              -90.164794921875,\n              36.491973470593685\n            ],\n            [\n              -91.900634765625,\n              36.50963615733049\n            ],\n            [\n              -92.669677734375,\n              34.786739162702524\n            ],\n            [\n              -92.559814453125,\n              33.55970664841198\n            ],\n            [\n              -92.197265625,\n              33.04550781490999\n            ],\n            [\n              -91.219482421875,\n              33.04550781490999\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"90","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Price, Audrey C.","contributorId":222111,"corporation":false,"usgs":false,"family":"Price","given":"Audrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":781246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woolery, Edward W 0000-0003-3398-5830","orcid":"https://orcid.org/0000-0003-3398-5830","contributorId":192994,"corporation":false,"usgs":false,"family":"Woolery","given":"Edward","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":781223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Counts, Ron 0000-0002-8426-1990","orcid":"https://orcid.org/0000-0002-8426-1990","contributorId":222105,"corporation":false,"usgs":false,"family":"Counts","given":"Ron","affiliations":[{"id":36508,"text":"University of Mississippi","active":true,"usgs":false}],"preferred":false,"id":781224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Arsdale, Roy","contributorId":199299,"corporation":false,"usgs":false,"family":"Van Arsdale","given":"Roy","email":"","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":781225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larsen, Daniel","contributorId":199300,"corporation":false,"usgs":false,"family":"Larsen","given":"Daniel","email":"","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":781226,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":781221,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beck, Glynn","contributorId":222106,"corporation":false,"usgs":false,"family":"Beck","given":"Glynn","email":"","affiliations":[{"id":40489,"text":"Kentucky Geological Survey","active":true,"usgs":false}],"preferred":false,"id":781227,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70215284,"text":"70215284 - 2020 - Influence of land use and hydrologic variability on seasonal dissolved organic carbon and nitrate export: Insights from a multi-year regional analysis for the northeastern USA","interactions":[],"lastModifiedDate":"2020-10-14T23:26:06.094069","indexId":"70215284","displayToPublicDate":"2019-10-08T18:15:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Influence of land use and hydrologic variability on seasonal dissolved organic carbon and nitrate export: Insights from a multi-year regional analysis for the northeastern USA","docAbstract":"<p><span>Land use/land cover (LULC) change has significant impacts on nutrient loading to aquatic systems and has been linked to deteriorating water quality globally. While many relationships between LULC and nutrient loading have been identified, characterization of the interaction between LULC, climate (specifically variable hydrologic forcing) and solute export across seasonal and interannual time scales is needed to understand the processes that determine nutrient loading and responses to change. Recent advances in high-frequency water quality sensors provide opportunities to assess these interannual relationships with sufficiently high temporal resolution to capture the unpredictable, short-term storm events that likely drive important export mechanisms for dissolved organic carbon (DOC) and nitrate (NO</span><sub>3</sub><sup>−</sup><span>–N). We deployed a network of in situ sensors in forested, agricultural, and urban watersheds across the northeastern United States. Using 2&nbsp;years of high-frequency sensor data, we provide a regional assessment of how LULC and hydrologic variability affected the timing and magnitude of dissolved organic carbon and nitrate export, and the status of watershed fluxes as either supply or transport controlled. Analysis of annual export dynamics revealed systematic differences in the timing and magnitude of DOC and NO</span><sub>3</sub><sup>−</sup><span>–N delivery among different LULC classes, with distinct regional similarities in the timing of DOC and NO</span><sub>3</sub><sup>−</sup><span>–N fluxes from forested and urban watersheds. Conversely, export dynamics at agricultural sites appeared to be highly site-specific, likely driven by local agricultural practices and regulations. Furthermore, the magnitude of solute fluxes across watersheds responded strongly to interannual variability in rainfall, suggesting a high degree of hydrologic control over nutrient loading across the region. Thus, there is strong potential for climate-driven changes in regional hydrologic cycles to drive variation in the magnitude of downstream nutrient fluxes, particularly in watersheds where solute supply and/or transport has been modified.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-019-00609-x","usgsCitation":"Seybold, E., Gold, A.J., Inamdar, S.P., Adair, C., Bowden, W., Vaughan, M., Pradhanang, S.M., Addy, K., Shanley, J.B., Vermilyea, A.W., Levia, D., Wemple, B., and Schroth, A.W., 2020, Influence of land use and hydrologic variability on seasonal dissolved organic carbon and nitrate export: Insights from a multi-year regional analysis for the northeastern USA: Biogeochemistry, v. 146, p. 31-49, https://doi.org/10.1007/s10533-019-00609-x.","productDescription":"19 p.","startPage":"31","endPage":"49","ipdsId":"IP-107827","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":487702,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/geo_facpubs/160","text":"External Repository"},{"id":379397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Rhode Island, Vermont","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.40603637695312,\n              39.79482037706643\n            ],\n            [\n              -75.51315307617188,\n              39.83754093169162\n            ],\n            [\n              -75.57083129882812,\n              39.83859542426053\n            ],\n            [\n              -75.66146850585938,\n              39.825940444829854\n            ],\n            [\n              -75.71022033691406,\n              39.7958755252971\n            ],\n            [\n              -75.75897216796875,\n              39.75048953595117\n            ],\n            [\n              -75.77751159667969,\n              39.71880717209064\n            ],\n            [\n              -75.7843780517578,\n              39.715109947757554\n            ],\n            [\n              -75.78712463378906,\n              39.66332799957865\n            ],\n            [\n              -75.7843780517578,\n              39.59140300310023\n            ],\n            [\n              -75.75759887695312,\n              39.25352462727606\n            ],\n            [\n              -75.71571350097656,\n              38.74872833948074\n            ],\n            [\n              -75.69236755371094,\n              38.460041065720446\n            ],\n            [\n              -75.44448852539062,\n              38.45573955865588\n            ],\n            [\n              -75.01190185546875,\n              38.4519755295767\n            ],\n            [\n              -75.05241394042969,\n              38.82312593339483\n            ],\n            [\n              -75.3662109375,\n              39.25086604435735\n            ],\n            [\n              -75.56808471679688,\n              39.47118523471246\n            ],\n            [\n              -75.54130554199219,\n              39.50721944338612\n            ],\n            [\n              -75.53031921386719,\n              39.54217596171196\n            ],\n            [\n              -75.51315307617188,\n              39.574997872470774\n            ],\n            [\n              -75.55709838867188,\n              39.604101082126846\n            ],\n            [\n              -75.55984497070312,\n              39.63530729658601\n            ],\n            [\n              -75.52688598632811,\n              39.661213625756034\n            ],\n            [\n              -75.50697326660156,\n              39.70771490453351\n            ],\n            [\n              -75.46440124511717,\n              39.772130775078956\n            ],\n            [\n              -75.41221618652344,\n              39.79640309334228\n            ],\n            [\n              -75.40603637695312,\n              39.79482037706643\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.11312866210938,\n              41.48080459927738\n            ],\n            [\n              -71.14059448242188,\n              41.624681950391306\n            ],\n            [\n              -71.158447265625,\n              41.66573093599398\n            ],\n            [\n              -71.19003295898438,\n              41.67598909594535\n            ],\n            [\n              -71.26419067382812,\n              41.75492216766298\n            ],\n            [\n              -71.3177490234375,\n              41.78257704086764\n            ],\n            [\n              -71.34658813476562,\n              41.81329069491423\n            ],\n            [\n              -71.33834838867188,\n              41.86649282301993\n            ],\n            [\n              -71.34384155273438,\n              41.899210607606115\n            ],\n            [\n              -71.37954711914061,\n              41.90432124806034\n            ],\n            [\n              -71.37954711914061,\n              42.019712622928495\n            ],\n            [\n              -71.79840087890625,\n              42.00950942549377\n            ],\n            [\n              -71.79428100585938,\n              41.421104468174555\n            ],\n            [\n              -71.82723999023438,\n              41.414925457021816\n            ],\n            [\n              -71.83135986328124,\n              41.37989995715392\n            ],\n            [\n              -71.85470581054686,\n              41.31907562295139\n            ],\n            [\n              -71.8450927734375,\n              41.30257109430557\n            ],\n            [\n              -71.48529052734375,\n              41.33866932357447\n            ],\n            [\n              -71.11312866210938,\n              41.48080459927738\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.27880859375,\n              42.73894375124377\n            ],\n            [\n              -72.498779296875,\n              42.72683914955442\n            ],\n            [\n              -72.53173828125,\n              42.896088552971065\n            ],\n            [\n              -72.44384765625,\n              43.177141346631714\n            ],\n            [\n              -72.3944091796875,\n              43.54058479482877\n            ],\n            [\n              -72.169189453125,\n              43.88205730390537\n            ],\n            [\n              -72.0428466796875,\n              44.125056482685146\n            ],\n            [\n              -72.04833984375,\n              44.327777761284416\n            ],\n            [\n              -71.71600341796875,\n              44.42004966190147\n            ],\n            [\n              -71.575927734375,\n              44.5924231071787\n            ],\n            [\n              -71.641845703125,\n              44.75453548416007\n            ],\n            [\n              -71.4825439453125,\n              44.91619436708162\n            ],\n            [\n              -71.5264892578125,\n              44.990055522906864\n            ],\n            [\n              -71.510009765625,\n              45.01336034905033\n            ],\n            [\n              -73.333740234375,\n              45.00753503123719\n            ],\n            [\n              -73.3502197265625,\n              44.90646871709883\n            ],\n            [\n              -73.38317871093749,\n              44.83834308566653\n            ],\n            [\n              -73.3392333984375,\n              44.77403648591521\n            ],\n            [\n              -73.3941650390625,\n              44.56699093657141\n            ],\n            [\n              -73.289794921875,\n              44.453388800301774\n            ],\n            [\n              -73.33648681640624,\n              44.35331432151491\n            ],\n            [\n              -73.30078125,\n              44.262904233655384\n            ],\n            [\n              -73.399658203125,\n              44.174324837518895\n            ],\n            [\n              -73.44085693359375,\n              44.050089820756796\n            ],\n            [\n              -73.41339111328125,\n              43.96119063892024\n            ],\n            [\n              -73.37493896484374,\n              43.8008364060122\n            ],\n            [\n              -73.43536376953125,\n              43.64203827340191\n            ],\n            [\n              -73.41339111328125,\n              43.56447158721811\n            ],\n            [\n              -73.36395263671875,\n              43.624147145668076\n            ],\n            [\n              -73.28704833984375,\n              43.614205328810954\n            ],\n            [\n              -73.24310302734375,\n              43.52664646047306\n            ],\n            [\n              -73.29803466796875,\n              42.793385221161735\n            ],\n            [\n              -73.27880859375,\n              42.73894375124377\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"146","noUsgsAuthors":false,"publicationDate":"2019-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Seybold, Erin","contributorId":243079,"corporation":false,"usgs":false,"family":"Seybold","given":"Erin","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":801502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gold, Arthur J.","contributorId":199002,"corporation":false,"usgs":false,"family":"Gold","given":"Arthur","email":"","middleInitial":"J.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":801503,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Inamdar, Shreeram P.","contributorId":199004,"corporation":false,"usgs":false,"family":"Inamdar","given":"Shreeram","email":"","middleInitial":"P.","affiliations":[{"id":27264,"text":"University of Delaware, Newark, DE","active":true,"usgs":false}],"preferred":false,"id":801504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adair, Carol","contributorId":243080,"corporation":false,"usgs":false,"family":"Adair","given":"Carol","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":801505,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bowden, W.B.","contributorId":243081,"corporation":false,"usgs":false,"family":"Bowden","given":"W.B.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":801506,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vaughan, Matthew","contributorId":198999,"corporation":false,"usgs":false,"family":"Vaughan","given":"Matthew","email":"","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":801507,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pradhanang, Soni M.","contributorId":199003,"corporation":false,"usgs":false,"family":"Pradhanang","given":"Soni","email":"","middleInitial":"M.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":801508,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Addy, Kelly","contributorId":210128,"corporation":false,"usgs":false,"family":"Addy","given":"Kelly","email":"","affiliations":[{"id":38076,"text":"Univ of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":801509,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":801510,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vermilyea, Andrew W.","contributorId":178909,"corporation":false,"usgs":false,"family":"Vermilyea","given":"Andrew","email":"","middleInitial":"W.","affiliations":[{"id":35721,"text":"Castleton University, Castleton, Vermont, USA","active":true,"usgs":false}],"preferred":false,"id":801511,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Levia, Delphis F.","contributorId":199005,"corporation":false,"usgs":false,"family":"Levia","given":"Delphis F.","affiliations":[{"id":27264,"text":"University of Delaware, Newark, DE","active":true,"usgs":false}],"preferred":false,"id":801512,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wemple, Beverley","contributorId":243082,"corporation":false,"usgs":false,"family":"Wemple","given":"Beverley","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":801513,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schroth, Andrew W.","contributorId":192042,"corporation":false,"usgs":false,"family":"Schroth","given":"Andrew","email":"","middleInitial":"W.","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":801514,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70208238,"text":"70208238 - 2020 - Alignment of surface water ontologies: A comparison of manual and automated approaches","interactions":[],"lastModifiedDate":"2020-04-06T21:38:47.796836","indexId":"70208238","displayToPublicDate":"2019-10-08T07:09:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2305,"text":"Journal of Geographical Systems","active":true,"publicationSubtype":{"id":10}},"title":"Alignment of surface water ontologies: A comparison of manual and automated approaches","docAbstract":"More data are being collected about the world around us than ever before, but effectively using this information requires different data stores to be integrated in such a way that they can be seamlessly queried and analyzed. Automated alignment algorithms exist to facilitate this data integration challenge. In this paper we examine the utility of two current leading automated alignment systems to integrate four ontologies from the surface water domain. We show that the performance of such systems in this domain lags behind their results on popular benchmarks, and therefore incorporate the alignment task described here into the set of benchmarks used by the alignment community. In addition, we show that, with minor modifications, existing alignment algorithms can be used effectively within a semi-automated alignment system for the surface water domain.","language":"English","publisher":"Springer","doi":"10.1007/s10109-019-00312-3","usgsCitation":"Cheatham, M., Varanka, D.E., Arauz, F., and Zhou, L., 2020, Alignment of surface water ontologies: A comparison of manual and automated approaches: Journal of Geographical Systems, v. 22, no. 2, p. 267-289, https://doi.org/10.1007/s10109-019-00312-3.","productDescription":"23 p.","startPage":"267","endPage":"289","ipdsId":"IP-101017","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":371902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Cheatham, Michelle","contributorId":222086,"corporation":false,"usgs":false,"family":"Cheatham","given":"Michelle","email":"","affiliations":[{"id":13348,"text":"Wright State University","active":true,"usgs":false}],"preferred":false,"id":781127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":781126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arauz, Fatima","contributorId":222087,"corporation":false,"usgs":false,"family":"Arauz","given":"Fatima","email":"","affiliations":[{"id":13348,"text":"Wright State University","active":true,"usgs":false}],"preferred":false,"id":781128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhou, Lu","contributorId":222088,"corporation":false,"usgs":false,"family":"Zhou","given":"Lu","email":"","affiliations":[{"id":13348,"text":"Wright State University","active":true,"usgs":false}],"preferred":false,"id":781129,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223259,"text":"70223259 - 2020 - Juvenile Sandhill Cranes exhibit wider ranging and more exploratory movements than adults during the breeding season","interactions":[],"lastModifiedDate":"2021-09-07T16:36:12.636373","indexId":"70223259","displayToPublicDate":"2019-10-07T11:30:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1961,"text":"Ibis","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile Sandhill Cranes exhibit wider ranging and more exploratory movements than adults during the breeding season","docAbstract":"<p><span>Sandhill Cranes&nbsp;</span><i>Antigone canadensis</i><span>&nbsp;exhibit delayed sexual maturity and breeding, and therefore juvenile Cranes searching for suitable territories to occupy have different ecological constraints on movements than adults, which must defend a territory and raise young. We used fine-scale GPS telemetry data to characterize and compare movements of adult and juvenile Cranes near the boundary between two populations in Minnesota, USA, from arrival on natal areas in the spring until staging prior to autumn migration. Juvenile and adult Cranes had marked differences in movement patterns throughout the breeding season. Juveniles were more likely than adults to display long-distance movements: they revisited areas less frequently throughout the breeding season and they had lower average residence times.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ibi.12786","usgsCitation":"Wolfson, D.W., Fieberg, J.R., and Andersen, D.E., 2020, Juvenile Sandhill Cranes exhibit wider ranging and more exploratory movements than adults during the breeding season: Ibis, v. 162, no. 2, p. 556-562, https://doi.org/10.1111/ibi.12786.","productDescription":"7 p.","startPage":"556","endPage":"562","ipdsId":"IP-101350","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":458626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ibi.12786","text":"Publisher Index Page"},{"id":388888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96,\n              46\n            ],\n            [\n              -93,\n              46\n            ],\n            [\n              -93,\n              48\n            ],\n            [\n              -96,\n              48\n            ],\n            [\n              -96,\n              46\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"162","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-11-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Wolfson, David W.","contributorId":264451,"corporation":false,"usgs":false,"family":"Wolfson","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":821540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fieberg, John R.","contributorId":264453,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":821541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":821539,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70213256,"text":"70213256 - 2020 - Addressing barriers to improve biocrust colonization and establishment in dryland restoration","interactions":[],"lastModifiedDate":"2020-09-16T14:01:21.735907","indexId":"70213256","displayToPublicDate":"2019-10-06T08:53:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Addressing barriers to improve biocrust colonization and establishment in dryland restoration","docAbstract":"<p><span>Methods to reduce soil loss and associated loss of ecosystem functions due to land degradation are of particular importance in dryland ecosystems. Biocrusts are communities of cyanobacteria, lichens, and bryophytes that are vulnerable to soil disturbance, but provide vital ecosystem functions when present. Biocrusts stabilize soil, improve hydrologic function, and increase nutrient and carbon inputs. Methods to reestablish biocrust rapidly, when lost from ecosystems, have the potential to restore important dryland ecosystem functions and thereby increase probability of successful rehabilitation. The aim of this study was to identify habitat ameliorations to enhance the success of biocrust inoculation by: (1) reducing physiological stress on biocrusts and increasing resource availability (using shade, soil surface roughening, and watering), and (2) stabilizing mobile soils (using straw borders, three soil tackifiers [soil stabilizers], and a combination of shade, water, roughening, and tackifier). In the Great Basin Desert on the Utah Test and Training Range near Salt Lake City, we applied field‐harvested biocrust material to experimental plots on coarse‐ and fine‐textured soils with the top 2&nbsp;cm of soil and biocrust removed. Habitat ameliorations were applied with and without biocrust addition. Shade provision increased biocrust cover 50% over controls. Biocrust cover and soil stability were 65% lower in straw border plots relative to controls. Soil tackifiers, alone and in combination with resource augmentation and stress reduction, did not improve cover and stabilization over inoculated controls. We found variability in recovery by time and between soil types. These results suggest plausible strategies to improve success of biocrust inoculation.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.13052","usgsCitation":"Antoninka, A., Bowker, M.A., Barger, N., Belnap, J., Giraldo Silva, A., Reed, S., Garcia-Pichel, F., and Duniway, M.C., 2020, Addressing barriers to improve biocrust colonization and establishment in dryland restoration: Restoration Ecology, v. 28, no. S2, p. s150-s159, https://doi.org/10.1111/rec.13052.","productDescription":"10 p.","startPage":"s150","endPage":"s159","ipdsId":"IP-107960","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":378450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Basin Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.7030029296875,\n              40.711873951908096\n            ],\n            [\n              -112.80487060546875,\n              40.711873951908096\n            ],\n            [\n              -112.80487060546875,\n              41.333513657873205\n            ],\n            [\n              -113.7030029296875,\n              41.333513657873205\n            ],\n            [\n              -113.7030029296875,\n              40.711873951908096\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"S2","noUsgsAuthors":false,"publicationDate":"2019-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Antoninka, Anita","contributorId":166769,"corporation":false,"usgs":false,"family":"Antoninka","given":"Anita","affiliations":[{"id":24503,"text":"Northern Arizona University, School of Forestry, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":798873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowker, Matthew A. mbowker@usgs.gov","contributorId":2875,"corporation":false,"usgs":true,"family":"Bowker","given":"Matthew","email":"mbowker@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":798874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barger, Nichole N.","contributorId":102392,"corporation":false,"usgs":true,"family":"Barger","given":"Nichole N.","affiliations":[],"preferred":false,"id":798875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798876,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Giraldo Silva, Ana","contributorId":181758,"corporation":false,"usgs":false,"family":"Giraldo Silva","given":"Ana","email":"","affiliations":[],"preferred":false,"id":798877,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798878,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garcia-Pichel, Ferran","contributorId":240675,"corporation":false,"usgs":false,"family":"Garcia-Pichel","given":"Ferran","affiliations":[],"preferred":false,"id":798879,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798880,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70215398,"text":"70215398 - 2020 - Disentangling the effects of habitat biogeochemistry, food web structure, and diet composition on mercury bioaccumulation in a wetland bird","interactions":[],"lastModifiedDate":"2020-10-18T14:20:02.929323","indexId":"70215398","displayToPublicDate":"2019-10-04T09:17:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling the effects of habitat biogeochemistry, food web structure, and diet composition on mercury bioaccumulation in a wetland bird","docAbstract":"<div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Methylmercury (MeHg) is a globally pervasive contaminant with known toxicity to humans and wildlife. Several sources of variation can lead to spatial differences in MeHg bioaccumulation within a species including: biogeochemical processes that influence MeHg production and availability within an organism’s home range; trophic positions of consumers and MeHg biomagnification efficiency in food webs; and individual prey preferences that influence diet composition. To better understand spatial variation in MeHg bioaccumulation within a species, we evaluated the effects of habitat biogeochemistry, food web structure, and diet composition in the wetland-obligate California black rail (<i>Laterallus jamaicensis coturniculus</i>) at three wetlands along the Petaluma River in northern San Francisco Bay, California, USA. The concentration of MeHg in sediments differed significantly among wetlands. We identified three sediment and porewater measurements that contributed significantly to a discriminant function explaining differences in habitat biogeochemistry among wetlands: the porewater concentration of ferrous iron, the percent organic matter, and the sediment MeHg concentration. Food web structure and biomagnification efficiency were similar among wetlands, with trophic magnification factors for MeHg ranging from 1.84 to 2.59. In addition, regurgitation samples indicated that black rails were dietary generalists with similar diets among wetlands (percent similarity indices &gt; 70%). Given the similarities in diet composition, food web structure, and MeHg biomagnification efficiency among wetlands, we concluded that variation in habitat biogeochemistry and associated sediment MeHg production was the primary driver of differences in MeHg concentrations among black rails from different wetlands.</p></div></div><div id=\"abs0015\" class=\"abstract graphical\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2019.113280","usgsCitation":"Hall, L.A., Woo, I., Marvin-DiPasquale, M.C., Tsao, D., Krabbenhoft, D.P., Takekawa, J., and De La Cruz, S.E., 2020, Disentangling the effects of habitat biogeochemistry, food web structure, and diet composition on mercury bioaccumulation in a wetland bird: Environmental Pollution, v. 256, 113280, 13 p., https://doi.org/10.1016/j.envpol.2019.113280.","productDescription":"113280, 13 p.","ipdsId":"IP-109632","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":437213,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AMA3PL","text":"USGS data release","linkHelpText":"Sediment Biogeochemistry and Subsequent Mercury Biomagnification in Wetland Food Webs of the San Francisco Bay, CA (ver. 2.0, December 2023)"},{"id":379495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.22265625000001,\n              37.081475648860525\n            ],\n            [\n              -121.22314453124999,\n              37.081475648860525\n            ],\n            [\n              -121.22314453124999,\n              38.453588708941375\n            ],\n            [\n              -123.22265625000001,\n              38.453588708941375\n            ],\n            [\n              -123.22265625000001,\n              37.081475648860525\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"256","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Laurie Anne 0000-0001-5822-649X","orcid":"https://orcid.org/0000-0001-5822-649X","contributorId":243313,"corporation":false,"usgs":true,"family":"Hall","given":"Laurie","email":"","middleInitial":"Anne","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":802013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":802014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":802015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tsao, Danika C","contributorId":243314,"corporation":false,"usgs":false,"family":"Tsao","given":"Danika C","affiliations":[{"id":48682,"text":"CDWR (former USGS)","active":true,"usgs":false}],"preferred":false,"id":802016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":802017,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Takekawa, John Y. 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203805,"corporation":false,"usgs":false,"family":"Takekawa","given":"John Y.","affiliations":[{"id":36724,"text":"Audubon California, Richardson Bay Audubon Center and Sanctuary, Tiburon, CA","active":true,"usgs":false}],"preferred":false,"id":802018,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":802019,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70206983,"text":"70206983 - 2020 - Dissolved oxygen controls summer habitat of Clear Lake Hitch (Lavinia exilicauda chi), an imperilled potamodromous cyprinid","interactions":[],"lastModifiedDate":"2020-04-06T21:05:05.456323","indexId":"70206983","displayToPublicDate":"2019-10-03T08:36:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved oxygen controls summer habitat of Clear Lake Hitch (Lavinia exilicauda chi), an imperilled potamodromous cyprinid","docAbstract":"The Clear Lake Hitch is an imperiled minnow endemic to Clear Lake, Lake County, California, USA that is listed as threatened under the California Endangered Species Act (ESA) and is a candidate for listing under the United States ESA.  It exhibits a potamodromous life cycle whereby adults, which reach up to 6+ years in age and over 350 mm in length, migrate into Clear Lake’s ephemeral tributaries briefly during spring to spawn.  Conservation and management of Clear Lake Hitch is inhibited, in part, by a lack of information on the lacustrine distribution and habitat of non-breeding individuals within Clear Lake.  To address this problem, we sampled Clear Lake Hitch with gill nets in a stratified random sampling design to determine the distribution and habitat associations in early summer 2017 and 2018.  We identified abundance-habitat relationships for juvenile and adult Clear Lake Hitch using Bayesian zero-inflated negative binomial generalized linear mixed modeling.  The results indicated that dissolved oxygen concentration was the most important habitat feature among those measured; both juvenile and adult Clear Lake Hitch were substantially more abundant in normoxic (> 2 mg l-1) than in hypoxic (< 2 mg l-1) habitat.  Both life stages also exhibited weak positive relationships with chlorophyll fluorescence, suggesting that relatively productive habitats may support higher numbers of Clear Lake Hitch.  Spatially, juveniles were most abundant in nearshore habitats while adults were ubiquitous, indicating an ontogentic habitat expansion that may be associated with a resource availability-predation risk tradeoff.  Management actions undertaken to improve or alleviate water quality and hypoxia problems in Clear Lake would also improve Clear Lake Hitch habitat.","language":"English","publisher":"Wiley","doi":"10.1111/eff.12505","usgsCitation":"Feyrer, F.V., Young, M., Patton, O., and Ayers, D.E., 2020, Dissolved oxygen controls summer habitat of Clear Lake Hitch (Lavinia exilicauda chi), an imperilled potamodromous cyprinid: Ecology of Freshwater Fish, v. 29, no. 2, p. 188-196, https://doi.org/10.1111/eff.12505.","productDescription":"9 p.","startPage":"188","endPage":"196","ipdsId":"IP-107703","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":458630,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12505","text":"Publisher Index Page"},{"id":369855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Lake County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-122.8882,39.5827],[-122.7353,39.5817],[-122.7368,39.5359],[-122.7313,39.5197],[-122.7326,39.4947],[-122.7341,39.4493],[-122.7389,39.3834],[-122.7849,39.3845],[-122.7798,39.3792],[-122.7719,39.3749],[-122.7631,39.3774],[-122.7589,39.377],[-122.7521,39.3708],[-122.7442,39.3674],[-122.741,39.3634],[-122.7444,39.3597],[-122.7484,39.3546],[-122.7505,39.3482],[-122.7634,39.3438],[-122.7648,39.3374],[-122.7714,39.3241],[-122.7746,39.3158],[-122.7663,39.3025],[-122.758,39.2904],[-122.7541,39.2828],[-122.7346,39.2729],[-122.7292,39.273],[-122.7224,39.265],[-122.7181,39.2638],[-122.715,39.2598],[-122.6997,39.2507],[-122.6901,39.2473],[-122.6768,39.2295],[-122.6796,39.2262],[-122.6602,39.2158],[-122.6506,39.2147],[-122.6378,39.22],[-122.6254,39.2231],[-122.6019,39.2141],[-122.5869,39.2113],[-122.576,39.2062],[-122.5723,39.2031],[-122.5693,39.2022],[-122.564,39.2033],[-122.5557,39.2053],[-122.5445,39.2069],[-122.5346,39.2104],[-122.5154,39.2076],[-122.5144,39.1968],[-122.5088,39.1915],[-122.5004,39.189],[-122.4931,39.1837],[-122.4915,39.1747],[-122.4826,39.1744],[-122.4766,39.1736],[-122.4747,39.1701],[-122.4787,39.1668],[-122.4815,39.1636],[-122.4808,39.159],[-122.4788,39.1555],[-122.4805,39.1523],[-122.4748,39.1442],[-122.4753,39.141],[-122.4782,39.1391],[-122.4805,39.1391],[-122.4878,39.143],[-122.493,39.1388],[-122.4957,39.1333],[-122.4999,39.1205],[-122.4938,39.1147],[-122.4959,39.1083],[-122.4909,39.1017],[-122.4888,39.0954],[-122.485,39.0896],[-122.4898,39.0754],[-122.4847,39.0669],[-122.4907,39.0545],[-122.4782,39.0521],[-122.4709,39.0491],[-122.4575,39.039],[-122.4506,39.0305],[-122.4384,39.0227],[-122.4224,39.0217],[-122.4116,39.0192],[-122.4077,39.0102],[-122.4121,39.0015],[-122.4177,38.9928],[-122.4185,38.9846],[-122.4135,38.9765],[-122.4087,38.9739],[-122.409,38.968],[-122.4094,38.963],[-122.4051,38.96],[-122.4002,38.956],[-122.3937,38.9548],[-122.3803,38.9469],[-122.3676,38.9391],[-122.3622,38.9365],[-122.3555,38.9321],[-122.3483,38.9286],[-122.3423,38.9274],[-122.3386,38.9248],[-122.3481,38.9245],[-122.3718,38.9254],[-122.3854,38.925],[-122.4037,38.9246],[-122.4112,38.9199],[-122.4134,38.9144],[-122.423,38.9038],[-122.418,38.898],[-122.4087,38.8851],[-122.406,38.8792],[-122.4042,38.8765],[-122.3981,38.8735],[-122.3938,38.8686],[-122.3925,38.8668],[-122.396,38.8636],[-122.4045,38.8566],[-122.4003,38.8526],[-122.396,38.8486],[-122.391,38.8415],[-122.3896,38.8374],[-122.3811,38.8322],[-122.3773,38.8264],[-122.3765,38.8201],[-122.374,38.8156],[-122.376,38.8078],[-122.3794,38.8037],[-122.3853,38.8026],[-122.3965,38.8037],[-122.403,38.8018],[-122.4068,38.7944],[-122.4079,38.7917],[-122.4101,38.788],[-122.41,38.7853],[-122.4081,38.7821],[-122.4091,38.778],[-122.4073,38.7763],[-122.4066,38.7754],[-122.4036,38.7741],[-122.4065,38.7722],[-122.41,38.7712],[-122.4159,38.7697],[-122.4634,38.7051],[-122.6258,38.6675],[-122.625,38.6748],[-122.6323,38.681],[-122.6445,38.7038],[-122.6494,38.7069],[-122.6535,38.7067],[-122.6587,38.7057],[-122.6695,38.7091],[-122.6765,38.7075],[-122.6884,38.7104],[-122.6933,38.7139],[-122.6959,38.7184],[-122.6985,38.7237],[-122.7011,38.7296],[-122.703,38.7322],[-122.7095,38.7343],[-122.7103,38.7379],[-122.7105,38.7434],[-122.7084,38.7493],[-122.7122,38.7533],[-122.7175,38.7545],[-122.7225,38.7607],[-122.7277,38.7706],[-122.7332,38.7745],[-122.7388,38.7825],[-122.7419,38.7843],[-122.7443,38.786],[-122.7487,38.7909],[-122.7462,38.8018],[-122.7578,38.8093],[-122.7632,38.8118],[-122.7749,38.8224],[-122.781,38.8277],[-122.7939,38.8369],[-122.7963,38.8386],[-122.7993,38.8395],[-122.8046,38.838],[-122.8087,38.8378],[-122.8113,38.8423],[-122.8149,38.8449],[-122.8181,38.8503],[-122.8197,38.858],[-122.8392,38.8583],[-122.8396,38.8678],[-122.8579,38.8674],[-122.8577,38.8746],[-122.8754,38.8746],[-122.8757,38.8818],[-122.8935,38.8823],[-122.8942,38.8963],[-122.9101,38.8963],[-122.9104,38.9022],[-122.9476,38.9007],[-122.9481,38.9116],[-122.9488,38.9252],[-122.9612,38.9257],[-122.961,38.9325],[-122.9687,38.9332],[-122.9681,38.9469],[-122.977,38.9471],[-122.9764,38.9838],[-122.9871,38.984],[-122.9872,38.9976],[-123.0109,38.9983],[-123.0107,38.9937],[-123.0184,38.994],[-123.018,38.9972],[-123.0274,38.9973],[-123.0274,39.0082],[-123.0368,39.008],[-123.0366,39.0143],[-123.0455,39.0145],[-123.0452,39.0218],[-123.0559,39.0219],[-123.0572,39.0369],[-123.0573,39.0509],[-123.0657,39.0516],[-123.0658,39.0661],[-123.0841,39.066],[-123.0839,39.0728],[-123.0934,39.073],[-123.0932,39.0807],[-123.0939,39.0948],[-123.0844,39.0955],[-123.0846,39.1105],[-123.0875,39.1108],[-123.0876,39.1249],[-123.0878,39.1394],[-123.0806,39.1391],[-123.0806,39.175],[-123.0468,39.175],[-123.0465,39.1814],[-123.0411,39.1811],[-123.0417,39.1929],[-123.0346,39.1931],[-123.0349,39.2003],[-123.0302,39.2005],[-123.03,39.2082],[-123.0252,39.2083],[-123.0249,39.2138],[-123.0213,39.2143],[-123.0212,39.2225],[-123.0134,39.2223],[-123.0129,39.2363],[-122.9951,39.2368],[-122.9955,39.2572],[-123.0044,39.2574],[-123.0048,39.2783],[-123.0197,39.2779],[-123.0201,39.3223],[-123.0296,39.322],[-123.0291,39.3366],[-123.038,39.3372],[-123.0388,39.3639],[-123.0489,39.3646],[-123.0482,39.3737],[-123.0473,39.3796],[-123.0574,39.3793],[-123.057,39.4074],[-123.0755,39.4083],[-123.0751,39.4246],[-123.0745,39.4373],[-123.0697,39.437],[-123.0723,39.4524],[-123.0633,39.4522],[-123.0623,39.5034],[-123.045,39.503],[-123.0447,39.5107],[-123.0233,39.5114],[-123.0231,39.5191],[-122.9371,39.5174],[-122.9372,39.5319],[-122.8888,39.5309],[-122.8882,39.5827]]]},\"properties\":{\"name\":\"Lake\",\"state\":\"CA\"}}]}","volume":"29","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Matt 0000-0001-9306-6866","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":220980,"corporation":false,"usgs":false,"family":"Young","given":"Matt","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":776458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patton, Oliver 0000-0002-2911-7718","orcid":"https://orcid.org/0000-0002-2911-7718","contributorId":218217,"corporation":false,"usgs":true,"family":"Patton","given":"Oliver","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ayers, David E. 0000-0001-5043-9722 dayers@usgs.gov","orcid":"https://orcid.org/0000-0001-5043-9722","contributorId":5604,"corporation":false,"usgs":true,"family":"Ayers","given":"David","email":"dayers@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776460,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206569,"text":"70206569 - 2020 - Examining progress toward achieving the Ten Steps of the Rome Declaration on Responsible Inland Fisheries","interactions":[],"lastModifiedDate":"2020-12-08T18:08:16.605258","indexId":"70206569","displayToPublicDate":"2019-10-02T08:23:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1652,"text":"Fish and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Examining progress toward achieving the Ten Steps of the Rome Declaration on Responsible Inland Fisheries","docAbstract":"Inland capture fisheries provide food for nearly a billion people and are important in the livelihoods of millions of households worldwide. Although there are limitations to evaluating many of the contributions made by inland capture fisheries, there is growing recognition by the international community that these services make critical contributions, most notably to food security and livelihoods in rural populations in those low-income countries with extensive freshwater resources. With the increasing appreciation of the key role of inland fisheries to the health and well-being of human populations globally, the Food and Agriculture Organization of the United Nations and Michigan State University convened the 2015 global conference, Freshwater, fish, and the future – cross-sectoral approaches to sustain livelihoods, food security, and aquatic ecosystems. What emerged from the interactions between inland fisheries scientists, resource managers, policy makers, and community representatives from across the world, was a forward-looking call-to-action culminating with the 2015 Rome Declaration “Ten Steps to Responsible Inland Fisheries” (FAO and MSU 2016). Four years after this landmark conference and Declaration, we seek to advance discussion on the “Ten Steps,” namely, what successful implementation looks like, assess current examples of implementation, suggest potential signals of progress, and provide some specific, indicative examples of progress for each step. While there are promising signs of progress, we conclude that there remains a strong need to galvanize momentum for sustained action to ensure that inland fish and fisheries are accounted for and incorporated into broader water resource management discussions and frameworks.","language":"English","publisher":"Wiley","doi":"10.1111/faf.12410","usgsCitation":"Lynch, A., Bartley, D.M., Beard, D., Cowx, I.G., Funge-Smith, S., Taylor, W.W., and Cooke, S.J., 2020, Examining progress toward achieving the Ten Steps of the Rome Declaration on Responsible Inland Fisheries: Fish and Fisheries, v. 21, no. 1, p. 190-203, https://doi.org/10.1111/faf.12410.","productDescription":"14 p.","startPage":"190","endPage":"203","ipdsId":"IP-108378","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":369099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":220490,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":775010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartley, Devin M.","contributorId":15913,"corporation":false,"usgs":false,"family":"Bartley","given":"Devin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":775011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beard, Douglas","contributorId":220491,"corporation":false,"usgs":true,"family":"Beard","given":"Douglas","email":"","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":775012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cowx, Ian. G.","contributorId":220479,"corporation":false,"usgs":false,"family":"Cowx","given":"Ian.","email":"","middleInitial":"G.","affiliations":[{"id":40174,"text":"University of Hull","active":true,"usgs":false}],"preferred":false,"id":775013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Funge-Smith, Simon","contributorId":197466,"corporation":false,"usgs":false,"family":"Funge-Smith","given":"Simon","affiliations":[],"preferred":false,"id":775014,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, William W.","contributorId":166927,"corporation":false,"usgs":false,"family":"Taylor","given":"William","email":"","middleInitial":"W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":775015,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cooke, Steve J.","contributorId":220492,"corporation":false,"usgs":false,"family":"Cooke","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":775016,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208107,"text":"70208107 - 2020 - Framework for monitoring shrubland community integrity in California Mediterranean type ecosystems: Information for policy makers and land managers","interactions":[],"lastModifiedDate":"2020-01-27T19:29:20","indexId":"70208107","displayToPublicDate":"2019-09-30T19:27:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Framework for monitoring shrubland community integrity in California Mediterranean type ecosystems: Information for policy makers and land managers","docAbstract":"Shrublands in Mediterranean‐type ecosystems worldwide support important ecosystem services including high levels of biodiversity and are threatened by multiple factors in heavily used landscapes. Use, conservation, and management of these landscapes involve diverse stakeholders, making decision processes complex. To be effective, management and land use decisions should be informed by current information on ecosystem quality and resilience. However, obtaining this information is often a challenge due to the extent of landscapes involved. Here we present a conceptual integrity monitoring framework based on simple easily observable ecosystem components readily understood by nonspecialists. Community integrity is defined by plant functional group based on relative proportion of shrubs and nonnative annual grasses. The ability to use these straightforward metrics results from four factors: relatively good alignment of characteristic bird, mammal, and insect communities with shrub cover, positive feedback between annual grasses and short fire intervals, the inhibitory effect of annual grasses on shrub seedling establishment, and similar functional group response to different disturbances. Two additional metrics, indicator species and shrub species diversity, capture subtle yet persistent signatures of disturbance on integrity not reflected in functional group composition. The framework is designed to: categorize habitats into ecosystem integrity classes, forecast likely integrity class changes caused by threats and environmental conditions, and provide a simple reporting mechanism that can be overlain with data on conservation status and vulnerabilities. The proposed framework includes a pilot phase to validate empirical relationships, thresholds, and sampling efficiency. The accessibility of these metrics to nonspecialists is anticipated to enhance communication among stakeholders and thus facilitate problem solving. Leveraging monitoring and mapping programs driven by other needs (e.g., species conservation and fire management) affords meaningful opportunities to offset program costs.","language":"English","publisher":"Wiley","doi":"10.1111/csp2.109","usgsCitation":"Lawson, D.M., and Keeley, J., 2020, Framework for monitoring shrubland community integrity in California Mediterranean type ecosystems: Information for policy makers and land managers: Conservation Science and Practice, v. 1, no. 11, e109, https://doi.org/10.1111/csp2.109.","productDescription":"e109","ipdsId":"IP-104457","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":458636,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.109","text":"Publisher Index Page"},{"id":371618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.59765625,\n              32.509761735919426\n            ],\n            [\n              -115.224609375,\n              32.879587173066305\n            ],\n            [\n              -114.3896484375,\n              33.17434155100208\n            ],\n            [\n              -114.12597656249999,\n              34.63320791137959\n            ],\n            [\n              -119.7509765625,\n              38.71980474264237\n            ],\n            [\n              -119.88281249999999,\n              42.06560675405716\n            ],\n            [\n              -124.45312499999999,\n              42.261049162113856\n            ],\n            [\n              -124.892578125,\n              40.01078714046552\n            ],\n            [\n              -122.9150390625,\n              36.77409249464195\n            ],\n            [\n              -120.673828125,\n              33.7243396617476\n            ],\n            [\n              -117.59765625,\n              32.509761735919426\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","issue":"11","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Lawson, Dawn M.","contributorId":221847,"corporation":false,"usgs":false,"family":"Lawson","given":"Dawn","email":"","middleInitial":"M.","affiliations":[{"id":40440,"text":"U.S. Navy's NIWC, Environmental Sciences Branch, San Diego, CA","active":true,"usgs":false}],"preferred":false,"id":780489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780488,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208456,"text":"70208456 - 2020 - Lake Ontario deepwater sculpin recovery: An unexpected outcome of ecosystem change","interactions":[],"lastModifiedDate":"2020-02-21T11:54:39","indexId":"70208456","displayToPublicDate":"2019-09-30T12:38:18","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Lake Ontario deepwater sculpin recovery: An unexpected outcome of ecosystem change","docAbstract":"Fish population recoveries can result from ecosystem change in the absence of targeted restoration actions. In Lake Ontario, native Deepwater Sculpin Myoxecephalus thompsonii, were common in the late-1800s, but by the mid-1900s the species was possibly extirpated. During this period mineral nutrient inputs increased and piscivore abundance declined, which increased the abundance of the nonnative planktivores Alewife Alosa pseudoharengus and Rainbow Smelt Osmerus mordax. Deepwater Sculpin larvae are pelagic and vulnerable to predation by planktivores. Annual bottom trawl surveys did not capture Deepwater Sculpin from 1978 – 1995 (n = 6,666 tows) despite sampling appropriate habitat (trawl depths: 7 – 170 m). The absence of observations during this time resulted in an elevated conservation status for the species, but no restoration actions were initiated. In 1996, three individuals were caught in bottom trawls, the first observed since 1972. Since then, their abundance has increased and in 2017 they were the second most abundant Lake Ontario prey fish. The food-web changes that occurred from 1970 through the 1990s contributed to this recovery. Alewife and Rainbow Smelt abundance declined during this period due to predation by stocked salmonids and legislation that reduced nutrient inputs and food web productivity. In the 1990s, the proliferation of nonnative, filter-feeding dreissenid mussels dramatically increased water clarity. As light penetration increased, the early-spring depth distribution of Alewife and Rainbow Smelt shifted deeper, away from larval Deepwater Sculpin habitat. The intentional and unintentional changes that occurred in Lake Ontario were not targeted at Deepwater Sculpin restoration but resulted in conditions that favored the species’ recovery. While standard surveys documented the recovery, more diverse information (e.g. observations in deep habitats and early-life stages) would have improved our understanding of why the species recovered when it did. Annual Lake Ontario trawl surveys have collaboratively expanded their spatial extent and diversified habitat sampled, based on lessons learned from the Deepwater Sculpin recovery.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"From catastrophe to recovery: Stories of fish management success","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","usgsCitation":"Weidel, B., Connerton, M., Walsh, M., Holden, J., Holleck, K., and Lantry, B.F., 2020, Lake Ontario deepwater sculpin recovery: An unexpected outcome of ecosystem change, chap. <i>of</i> From catastrophe to recovery: Stories of fish management success, p. 467-482.","productDescription":"16 p.","startPage":"467","endPage":"482","ipdsId":"IP-100895","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":372379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada ","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.771728515625,\n              43.32517767999296\n            ],\n            [\n              -79.837646484375,\n              43.24520272203356\n            ],\n            [\n              -79.3212890625,\n              43.14909399920127\n            ],\n            [\n              -78.94775390625,\n              43.27720532212024\n            ],\n            [\n              -78.24462890625,\n              43.35713822211053\n            ],\n            [\n              -77.596435546875,\n              43.23719944365308\n            ],\n            [\n              -76.9482421875,\n              43.24520272203356\n            ],\n            [\n              -76.2451171875,\n              43.54058479482877\n            ],\n            [\n              -76.190185546875,\n              43.874138181474734\n            ],\n            [\n              -76.09130859375,\n              43.94537239244209\n            ],\n            [\n              -76.453857421875,\n              44.22158376545796\n            ],\n            [\n              -76.88232421875,\n              44.071800467511565\n            ],\n            [\n              -78.277587890625,\n              43.95328204198018\n            ],\n            [\n              -79.34326171875,\n              43.731414013769\n            ],\n            [\n              -79.771728515625,\n              43.32517767999296\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":781964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connerton, Michael J.","contributorId":25495,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael J.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":781966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Maureen 0000-0001-7846-5025","orcid":"https://orcid.org/0000-0001-7846-5025","contributorId":222360,"corporation":false,"usgs":false,"family":"Walsh","given":"Maureen","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":781965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holden, Jeremy","contributorId":139654,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","affiliations":[{"id":12864,"text":"OMNRF","active":true,"usgs":false}],"preferred":false,"id":781967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holleck, Kristen","contributorId":222361,"corporation":false,"usgs":false,"family":"Holleck","given":"Kristen","email":"","affiliations":[{"id":38193,"text":"Cornell","active":true,"usgs":false}],"preferred":false,"id":781968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":781969,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227114,"text":"70227114 - 2020 - Hybridization and population genetics of Alligator Gar in Lake Texoma","interactions":[],"lastModifiedDate":"2022-01-03T16:14:54.337554","indexId":"70227114","displayToPublicDate":"2019-09-30T10:42:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Hybridization and population genetics of Alligator Gar in Lake Texoma","docAbstract":"<p><span>The Alligator Gar&nbsp;</span><i>Atractosteus spatula</i><span>&nbsp;(AG) is a long-lived fish of growing management and conservation interest. Situated on the border of Texas and Oklahoma, Lake Texoma supports one of the last robust AG populations in Oklahoma; however, a genetic evaluation of this population is lacking. We genotyped AG individuals with 17 microsatellite loci, 7 of which also cross-amplified in three sympatric&nbsp;</span><i>Lepisosteus</i><span>&nbsp;species: the Longnose Gar&nbsp;</span><i>L.&nbsp;osseus</i><span>&nbsp;(LN), Shortnose Gar&nbsp;</span><i>L.&nbsp;platostomus</i><span>&nbsp;(SN), and Spotted Gar&nbsp;</span><i>L.&nbsp;oculatus</i><span>&nbsp;(SP). Bayesian assignment analyses conducted in STRUCTURE and NewHybrids confirmed that a field-identified hybrid was an F</span><sub>1</sub><span>&nbsp;AG&nbsp;×&nbsp;LN and identified five other individuals that were suspected backcrosses (three LN&nbsp;×&nbsp;SN; two SN&nbsp;×&nbsp;SP). Alligator Gar had the lowest observed heterozygosity (0.179) and the lowest allelic richness (1.682) among the nonhybrid individuals of the four gar species examined. We also examined the potential for population structure and differences in pairwise relatedness (</span><i>r</i><span>) between two areas where AG are commonly encountered within Lake Texoma: the Red River and Washita River arms. No population structure was detected using noninformative or location priors in STRUCTURE, and estimates of&nbsp;</span><i>r</i><span>&nbsp;produced by the TrioML estimator in COANCESTRY were not significantly different between arms (overall mean&nbsp;</span><i>r&nbsp;</i><span>=</span><i>&nbsp;</i><span>0.199). Point estimates of effective population size ranging from 16.3 to 29.2 suggested that the AG population may be vulnerable to the effects of inbreeding depression and random genetic drift. Results provide a genetic status assessment of AG in Lake Texoma and a baseline for future management and conservation decisions within Lake Texoma and surrounding regions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10346","usgsCitation":"Taylor, A.T., Long, J.M., Snow, R.W., and Porta, M., 2020, Hybridization and population genetics of Alligator Gar in Lake Texoma: North American Journal of Fisheries Management, v. 40, no. 3, p. 544-554, https://doi.org/10.1002/nafm.10346.","productDescription":"11 p.","startPage":"544","endPage":"554","ipdsId":"IP-107095","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":393654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma, Texas","otherGeospatial":"Lake Texoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.01339721679686,\n              33.6774970449755\n            ],\n            [\n              -96.48330688476561,\n              33.6774970449755\n            ],\n            [\n              -96.48330688476561,\n              34.21520907870628\n            ],\n            [\n              -97.01339721679686,\n              34.21520907870628\n            ],\n            [\n              -97.01339721679686,\n              33.6774970449755\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, Andrew T.","contributorId":177197,"corporation":false,"usgs":false,"family":"Taylor","given":"Andrew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":829691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":829692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snow, Raymond W.","contributorId":178337,"corporation":false,"usgs":false,"family":"Snow","given":"Raymond","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":829693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Porta, M. J.","contributorId":264714,"corporation":false,"usgs":false,"family":"Porta","given":"M. J.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":829694,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70210226,"text":"70210226 - 2020 - Global status of trout and char: Conservation challenges in the twenty-first century","interactions":[],"lastModifiedDate":"2020-05-21T14:47:21.443543","indexId":"70210226","displayToPublicDate":"2019-09-30T09:46:47","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"21","title":"Global status of trout and char: Conservation challenges in the twenty-first century","docAbstract":"Freshwater ecosystems are among the most threatened ecosystems in the world (Richter et al. 1997; Strayer and Dudgeon 2010), and freshwater fishes may now be the most threatened group of vertebrates (Ricciardi and Rasmussen 1999; Vorosmarty et al. 2010; Darwall and Freyhof 2016). Of the 7,300 freshwater fish species globally assessed by the International Union for Conservation of Nature (IUCN, www.iucnredlist.org) in 2013, nearly one of every three species was threatened with extinction (Darwall and Freyhof 2016). Growing pressures from a multitude of direct and indirect human stressors (e.g., habitat loss and degradation, pollution, invasive species, overexploitation, diversion or alteration of biological flows, climate change, and others) threaten the persistence of many freshwater fish species and entire aquatic communities around the globe (Limburg et al. 2011).  This pattern is particularly true for salmonid fishes (family Salmonidae, subfamily Salmoninae, belonging to the genera Oncorhynchus, Salvelinus, Salmo, Hucho, Parahucho, Brachymystax, and Salvethymus).  Salmonids are globally-distributed, coldwater taxa with life-cycles restricted entirely to freshwater ecosystems (typically referred to as trout and char), but also Atlantic and Pacific salmon with more complex anadromous life-histories.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Trout and char of the world","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","isbn":"978-1-934874-54-7","usgsCitation":"Muhlfeld, C.C., Dauwalter, D.C., D’Angelo, V.S., Ferguson, A., Giersch, J.J., Impson, D., Koizumi, I., Kovach, R., McGinnity, P., Schoeffmann, J., Epifanio, J., and Vøllestad, L., 2020, Global status of trout and char: Conservation challenges in the twenty-first century, chap. 21 <i>of</i> Trout and char of the world.","ipdsId":"IP-095554","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":374991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":374990,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/professional-and-trade/55081c/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dauwalter, Daniel C.","contributorId":214339,"corporation":false,"usgs":false,"family":"Dauwalter","given":"Daniel","email":"","middleInitial":"C.","affiliations":[{"id":37131,"text":"Trout Unlimited","active":true,"usgs":false}],"preferred":false,"id":789647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Angelo, Vincent S. 0000-0003-1244-8091 vdangelo@usgs.gov","orcid":"https://orcid.org/0000-0003-1244-8091","contributorId":224823,"corporation":false,"usgs":true,"family":"D’Angelo","given":"Vincent","email":"vdangelo@usgs.gov","middleInitial":"S.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferguson, Andrew","contributorId":224824,"corporation":false,"usgs":false,"family":"Ferguson","given":"Andrew","email":"","affiliations":[{"id":40753,"text":"Queen's University","active":true,"usgs":false}],"preferred":false,"id":789649,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Giersch, J. Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":198074,"corporation":false,"usgs":true,"family":"Giersch","given":"J.","email":"jgiersch@usgs.gov","middleInitial":"Joseph","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789650,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Impson, Dean","contributorId":224825,"corporation":false,"usgs":false,"family":"Impson","given":"Dean","email":"","affiliations":[{"id":40949,"text":"CapeNature","active":true,"usgs":false}],"preferred":false,"id":789651,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koizumi, Itsuro","contributorId":224826,"corporation":false,"usgs":false,"family":"Koizumi","given":"Itsuro","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":789652,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kovach, Ryan 0000-0001-5402-2123 rkovach@usgs.gov","orcid":"https://orcid.org/0000-0001-5402-2123","contributorId":145914,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789653,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McGinnity, Philip","contributorId":224809,"corporation":false,"usgs":false,"family":"McGinnity","given":"Philip","email":"","affiliations":[],"preferred":false,"id":789656,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schoeffmann, Johannes","contributorId":224827,"corporation":false,"usgs":false,"family":"Schoeffmann","given":"Johannes","email":"","affiliations":[{"id":40950,"text":"University of Ljubljana","active":true,"usgs":false}],"preferred":false,"id":789654,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Epifanio, John","contributorId":139202,"corporation":false,"usgs":false,"family":"Epifanio","given":"John","email":"","affiliations":[],"preferred":false,"id":789655,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vøllestad, Leif Asbjørn","contributorId":224828,"corporation":false,"usgs":false,"family":"Vøllestad","given":"Leif Asbjørn","affiliations":[],"preferred":false,"id":789657,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
]}