{"pageNumber":"329","pageRowStart":"8200","pageSize":"25","recordCount":41075,"records":[{"id":70204693,"text":"70204693 - 2019 - Estimation of base flow by optimal hydrograph separation for the conterminous United States and implications for national-extent hydrologic models","interactions":[],"lastModifiedDate":"2019-08-09T12:01:26","indexId":"70204693","displayToPublicDate":"2019-08-07T11:53:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of base flow by optimal hydrograph separation for the conterminous United States and implications for national-extent hydrologic models","docAbstract":"<p><span>Optimal hydrograph separation (OHS) uses a two-parameter recursive digital filter that applies specific conductance mass-balance constraints to estimate the base flow contribution to total streamflow at stream gages where discharge and specific conductance are measured. OHS was applied to U.S. Geological Survey (USGS) stream gages across the conterminous United States to examine the range/distribution of base flow inputs and the utility of this method to build a hydrologic model calibration dataset. OHS models with acceptable goodness-of-fit criteria were insensitive to drainage area, stream density, watershed slope, elevation, agricultural or perennial snow/ice land cover, average annual precipitation, runoff, or evapotranspiration, implying that OHS results are a viable calibration dataset applicable in diverse watersheds. OHS-estimated base flow contribution was compared to base flow-like model components from the USGS National Hydrologic Model Infrastructure run with the Precipitation-Runoff Modeling System (NHM-PRMS). The NHM-PRMS variable&nbsp;</span><i><span class=\"html-italic\">gwres_flow</span></i><span>&nbsp;is most conceptually like a base flow component of streamflow but the&nbsp;</span><i><span class=\"html-italic\">gwres_flow</span></i><span>&nbsp;contribution to total streamflow is generally smaller than the OHS-estimated base flow contribution. The NHM-PRMS variable&nbsp;</span><i><span class=\"html-italic\">slow_flow</span></i><span>, added to&nbsp;</span><i><span class=\"html-italic\">gwres_flow</span></i><span>, produced similar or greater estimates of base flow contributions to total streamflow than the OHS-estimated base flow contribution but was dependent on the total flow magnitude.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w11081629","usgsCitation":"Foks, S., Raffensperger, J.P., Penn, C.A., and Driscoll, J.M., 2019, Estimation of base flow by optimal hydrograph separation for the conterminous United States and implications for national-extent hydrologic models: Water, v. 11, no. 8, 1629, 25 p., https://doi.org/10.3390/w11081629.","productDescription":"1629, 25 p.","ipdsId":"IP-104087","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467387,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w11081629","text":"Publisher Index Page"},{"id":437370,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XF3C11","text":"USGS data release","linkHelpText":"Base flow estimation via optimal hydrograph separation at CONUS watersheds and comparison to the National Hydrologic Model - Precipitation-Runoff Modeling System by HRU calibrated version"},{"id":366442,"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":"11","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Foks, Sydney 0000-0002-7668-9735","orcid":"https://orcid.org/0000-0002-7668-9735","contributorId":218029,"corporation":false,"usgs":true,"family":"Foks","given":"Sydney","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":768086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raffensperger, Jeff P. 0000-0001-9275-6646 jpraffen@usgs.gov","orcid":"https://orcid.org/0000-0001-9275-6646","contributorId":199119,"corporation":false,"usgs":true,"family":"Raffensperger","given":"Jeff","email":"jpraffen@usgs.gov","middleInitial":"P.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Penn, Colin A. 0000-0002-5195-2744","orcid":"https://orcid.org/0000-0002-5195-2744","contributorId":203851,"corporation":false,"usgs":true,"family":"Penn","given":"Colin","email":"","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Driscoll, Jessica M. 0000-0003-3097-9603 jdriscoll@usgs.gov","orcid":"https://orcid.org/0000-0003-3097-9603","contributorId":167585,"corporation":false,"usgs":true,"family":"Driscoll","given":"Jessica","email":"jdriscoll@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":768089,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204917,"text":"70204917 - 2019 - Loggerhead sea turtle (Caretta caretta) diving changes with productivity, behavioral mode, and sea surface temperature","interactions":[],"lastModifiedDate":"2019-08-26T09:41:22","indexId":"70204917","displayToPublicDate":"2019-08-07T11:30:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Loggerhead sea turtle (<i>Caretta caretta</i>) diving changes with productivity, behavioral mode, and sea surface temperature","title":"Loggerhead sea turtle (Caretta caretta) diving changes with productivity, behavioral mode, and sea surface temperature","docAbstract":"<p>The relationship between dive behavior and oceanographic conditions is not well understood for marine predators, especially sea turtles. We tagged loggerhead turtles (<i>Caretta caretta</i>) with satellite-linked depth loggers in the Gulf of Mexico, where there is a minimal amount of dive data for this species. We tested for associations between four measurements of dive behavior (total daily dive frequency, frequency of dives to the bottom, frequency of long dives and time-at-depth) and both oceanographic conditions (sea surface temperature [SST], net primary productivity [NPP]) and behavioral mode (inter-nesting, migration, or foraging). From 2011–2013 we obtained 26 tracks from 25 adult female loggerheads tagged after nesting in the Gulf of Mexico. All turtles remained in the Gulf of Mexico and spent about 10% of their time at the surface (10% during inter-nesting, 14% during migration, 9% during foraging). Mean total dive frequency was 41.9 times per day. Most dives were ≤ 25 m and between 30–40 min. During inter-nesting and foraging, turtles dived to the bottom 95% of days. SST was an important explanatory variable for all dive patterns; higher SST was associated with more dives per day, more long dives and more dives to the seafloor. Increases in NPP were associated with more long dives and more dives to the bottom, while lower NPP resulted in an increased frequency of overall diving. Longer dives occurred more frequently during migration and a higher proportion of dives reached the seafloor during foraging when SST and NPP were higher. Our study stresses the importance of the interplay between SST and foraging resources for influencing dive behavior.</p>","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0220372","usgsCitation":"Iverson, A., Fujisaki, I., Lamont, M.M., and Hart, K., 2019, Loggerhead sea turtle (Caretta caretta) diving changes with productivity, behavioral mode, and sea surface temperature: PLoS ONE, v. 14, no. 8, e0220372, 19 p., https://doi.org/10.1371/journal.pone.0220372.","productDescription":"e0220372, 19 p.","ipdsId":"IP-101494","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467388,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0220372","text":"Publisher Index Page"},{"id":437371,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PY9YBZ","text":"USGS data release","linkHelpText":"Dive data for loggerhead sea turtles in the Gulf of Mexico, 2011-2013"},{"id":366856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Cuba, Mexico, United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"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              -82.001953125,\n              27.430289738862594\n            ],\n            [\n              -82.99072265625,\n              29.592565403314087\n            ],\n            [\n              -84.35302734375,\n              30.259067203213018\n            ],\n            [\n              -85.23193359375,\n              30.031055426540206\n            ],\n            [\n              -87.14355468749999,\n              30.694611546632277\n            ],\n            [\n              -88.57177734375,\n              30.751277776257812\n            ],\n            [\n              -90.263671875,\n              29.80251790576445\n            ],\n            [\n              -91.34033203125,\n              29.57345707301757\n            ],\n            [\n              -91.93359375,\n              29.973970240516614\n            ],\n            [\n              -92.8125,\n              29.80251790576445\n            ],\n            [\n              -94.28466796874999,\n              29.84064389983441\n            ],\n            [\n              -97.36083984375,\n              28.14950321154457\n            ],\n            [\n              -97.62451171875,\n              26.62781822639305\n            ],\n            [\n              -97.40478515625,\n              25.720735134412106\n            ],\n            [\n              -97.88818359375,\n              25.363882272740256\n            ],\n            [\n              -98.0859375,\n              22.39071391683855\n            ],\n            [\n              -96.328125,\n              18.8543103618898\n            ],\n            [\n              -94.59228515625,\n              18.06231230454674\n            ],\n            [\n              -92.17529296875,\n              18.47960905583197\n            ],\n            [\n              -91.56005859375,\n              18.291949733550336\n            ],\n            [\n              -91.01074218749999,\n              18.812717856407776\n            ],\n            [\n              -90.3515625,\n              19.9526963975442\n            ],\n            [\n              -90.19775390625,\n              20.96143961409684\n            ],\n            [\n              -87.1875,\n              21.166483858206583\n            ],\n            [\n              -87.69287109375,\n              19.828725387681168\n            ],\n            [\n              -87.86865234374999,\n              19.539084135509334\n            ],\n            [\n              -87.9345703125,\n              18.437924653474408\n            ],\n            [\n              -78.5302734375,\n              22.28909641872304\n            ],\n            [\n              -82.001953125,\n              27.430289738862594\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"8","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Iverson, Autumn 0000-0002-8353-6745","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":218322,"corporation":false,"usgs":true,"family":"Iverson","given":"Autumn","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":769006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fujisaki, Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":769007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamont, Margaret M. 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":218323,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":218324,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769009,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204633,"text":"70204633 - 2019 - Climatic correlates of white pine blister rust infection in whitebark pine in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2019-08-12T09:30:33","indexId":"70204633","displayToPublicDate":"2019-08-07T09:01:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Climatic correlates of white pine blister rust infection in whitebark pine in the Greater Yellowstone Ecosystem","docAbstract":"Whitebark pine, a foundation species at tree line in the Western U.S. and Canada, has declined due to native mountain pine beetle epidemics, wildfire, and white pine blister rust. These declines are concerning for the multitude of ecosystem and human benefits provided by this species. Understanding climatic correlates associated with spread is needed to successfully manage impacts from forest pathogens. In the Greater Yellowstone Ecosystem since 2000 mountain pine beetles have killed 75 percent of the mature cone-bearing trees, and 40.9 percent of monitored trees have been infected with white pine blister rust. We identified models of white pine blister rust infection that indicate an August and September interaction between relative humidity and temperature were better predictors of white pine blister rust infection in whitebark pine than location and site characteristics in the Greater Yellowstone Ecosystem. The climate conditions conducive to white pine blister rust occur throughout the ecosystem, but larger trees in relatively warm and humid conditions were more likely to be infected between 2000 and 2018. We mapped the infection probability over the past two decades to identify coarse-scale patterns of climate conditions conducive to white pine blister rust infection in whitebark pine.","language":"English","publisher":"MDPI","doi":"10.3390/f10080666","usgsCitation":"Thoma, D., Shanahan, E.K., and Irvine, K., 2019, Climatic correlates of white pine blister rust infection in whitebark pine in the Greater Yellowstone Ecosystem: Forests, v. 10, no. 8, 16 p., https://doi.org/10.3390/f10080666.","productDescription":"16 p.","ipdsId":"IP-109650","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467389,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f10080666","text":"Publisher Index Page"},{"id":366366,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.32421875,\n              42.76314586689492\n            ],\n            [\n              -108.2373046875,\n              42.76314586689492\n            ],\n            [\n              -108.2373046875,\n              45.72152152227954\n            ],\n            [\n              -112.32421875,\n              45.72152152227954\n            ],\n            [\n              -112.32421875,\n              42.76314586689492\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Thoma, David","contributorId":190258,"corporation":false,"usgs":false,"family":"Thoma","given":"David","affiliations":[],"preferred":false,"id":767850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanahan, Erin K.","contributorId":217938,"corporation":false,"usgs":false,"family":"Shanahan","given":"Erin","email":"","middleInitial":"K.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":767851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irvine, Kathryn 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":217937,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":767849,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203464,"text":"sir20195044 - 2019 - Using the precipitation-runoff modeling system to predict seasonal water availability in the upper Klamath River basin, Oregon and California","interactions":[],"lastModifiedDate":"2019-08-07T08:45:48","indexId":"sir20195044","displayToPublicDate":"2019-08-06T12:45:52","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5044","displayTitle":"Using the Precipitation-Runoff Modeling System to Predict Seasonal Water Availability in the Upper Klamath River Basin, Oregon and California","title":"Using the precipitation-runoff modeling system to predict seasonal water availability in the upper Klamath River basin, Oregon and California","docAbstract":"<p class=\"p1\">Accurate forecasts of the streamflow expected during late spring and summer in the Upper Klamath River Basin in southern-central Oregon and northern California are used by water management agencies to balance water allocations for agriculture, aquatic habitat, and hydropower-production needs. Streamflow forecasts are also used by irrigation farmers for planning. The forecasts are typically made twice a month starting as early in the water year as December. Multiple regression equations relating real-time snowpack and precipitation conditions to seasonal streamflow volumes have been used for many years in forecasting. However, with warming temperature trends and lower snowpack, such forecasts based on historical data could become less reliable in the future. If the timing and relation of snowpack and precipitation are outside of the range of the historical data used to create the equations, the forecasts become extrapolations. Statistical forecast equations are also limited in their ability to forecast streamflow in groundwater-dominated basins having inter-annual lag. As an additional method for seasonal streamflow forecasting, a physical-process-based hydrologic model employing the Precipitation-Runoff Modeling System (PRMS) was developed in cooperation with the U.S. Bureau of Reclamation for the Upper Klamath Basin in this study. The model was calibrated for the portion of the basin draining into Upper Klamath Lake. PRMS is a deterministic, distributed-parameter, physical-process-based modeling system developed by the U.S. Geological Survey. It simulates daily streamflow, snow, solar radiation, evapotranspiration, surface-water, and groundwater processes within the basin. A model calibration and validation period for water years 2000–15 and water years 1984–99, respectively, was used. The model was calibrated and validated using measured streamflow, snowpack, evapotranspiration, and solar radiation data sets. Interpolated daily precipitation and air temperature data from 32 meteorological stations within and surrounding the Upper Klamath Basin were used as model input. Performance statistics, used to evaluate how well simulated daily streamflow matched with measured streamflow included percent bias, percent relative error, and root-mean-square error. The statistics were computed annually, monthly, for October–March, and for April–September. With the exception of the October–March period, percent bias statistics were all within plus or minus 5-percent for both the calibration and validation periods. Limitations to using the model are error in the precipitation and air temperature input time series data, which include measurement error and error in the spatial interpolation method. Other errors include measured daily streamflow data, which were adjusted for consumptive use losses to make them more closely resemble natural streamflow for calibration.</p><p class=\"p2\">The model developed for the Upper Klamath Basin can be used to forecast streamflow from the Sprague and Williamson River Basins and inflow to Upper Klamath Lake. Reliable forecasts at these locations are needed for managing water for irrigation, ecosystem health, and power production. Using the models in a forecast application requires assembling model input data sets of anticipated daily precipitation and minimum and maximum air temperature for the period after the date the forecast is made and the end of the forecasted period. These climate data sets can be based on historical or synthetic records, at the discretion of the forecaster. With the Ensemble Streamflow Prediction method, a suite of streamflow scenarios is simulated using multiple years of climate data as model input. The forecasted streamflow is determined from knowing the exceedance probabilities of the simulated streamflows. In this study, the model and the Ensemble Streamflow Prediction method were used to forecast the volume of inflow to Upper Klamath Lake for a 6-month period from April 1, 2015, to September 30, 2015, using a range of climate data sets based on El Niño Southern Oscillation (ENSO) criteria. Because 2015 was a warm phase ENSO period, climate data for 10 warm phase ENSO years from 1980 to 2010 were used as input to the model. The simulated April–September 2015 UKL inflow volume based on measured 2015 climate data was 482,000 acre-feet, which was very close to the 50th percent exceedance probability computed from 10 simulated scenarios that used warm phase ENSO climate input data from 1980–2010.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195044","collaboration":"Prepared in cooperation with the U.S. Bureau of Reclamation","usgsCitation":"Risley, J.C., 2019, Using the precipitation-runoff modeling system to predict seasonal water availability in the upper Klamath River basin, Oregon and California: U.S. Geological Survey Scientific Investigations Report 2019–5044, 37 p.,  https://doi.org/10.3133/sir20195044.","productDescription":"vi, 37 p.","onlineOnly":"Y","ipdsId":"IP-098864","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":366315,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5044/coverthb.jpg"},{"id":366316,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5044/sir20195044.pdf","text":"Report","size":"15.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5044"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Upper Klamath River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.42041015624999,\n              40.76806170936614\n            ],\n            [\n              -119.94323730468749,\n              40.76806170936614\n            ],\n            [\n              -119.94323730468749,\n              43.205175817237304\n            ],\n            [\n              -123.42041015624999,\n              43.205175817237304\n            ],\n            [\n              -123.42041015624999,\n              40.76806170936614\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/or-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/or-water\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Model Development</li><li>Model Calibration</li><li>Simulated Processes</li><li>Seasonal Streamflow Forecasting</li><li>Model Limitations</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendixes 1–3</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-08-06","noUsgsAuthors":false,"publicationDate":"2019-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Risley, John C. 0000-0002-8206-5443 jrisley@usgs.gov","orcid":"https://orcid.org/0000-0002-8206-5443","contributorId":2698,"corporation":false,"usgs":true,"family":"Risley","given":"John","email":"jrisley@usgs.gov","middleInitial":"C.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762782,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70204613,"text":"70204613 - 2019 - Developing a decision-support process for landscape conservation design","interactions":[],"lastModifiedDate":"2019-08-06T12:26:22","indexId":"70204613","displayToPublicDate":"2019-08-06T12:25:25","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Developing a decision-support process for landscape conservation design","docAbstract":"Planning for sustainable landscapes is hampered by uncertainty in how species will respond to conservation actions amidst impacts from landscape and climate change. Planning decisions, including tradeoffs among competing species objectives, are complex. We developed a decision-support framework that integrates dynamic-landscape metapopulation models (DLMPs) and structured decision making (SDM) to help guide landscape conservation design. With this framework, we demonstrated that planning for viable populations across broad scales can be achieved under global change. Furthermore, the integration of DLMPs with SDM enabled decisions to be more objective and transparent, and thus, more defensible.","language":"English","publisher":"U.S. Forest Service, General Technical Report","collaboration":"University of Missouri-Columbia; Gulf-Coastal Plains and Ozarks Landscape Conservation Cooperative, U. S. Fish and Wildlife Service; Northern Research Station, U. S. Forest Service; University of Montana; Central Hardwoods Joint Venture; American Bird Conservancy; Missouri Department of Conservation; Missouri Resource Assessment Partnership; Arkansas Game and Fish Commission; Oklahoma Department of Wildlife Conservation; U.S. Army Engineer Research and Development Center ; Mississippi State University","usgsCitation":"Bonnot, T.W., Jones-Farrand, D.T., Thompson III, F., Millspaugh, J., Fitzgerald, J.A., Muenks, N., Hanberry, P., Stroh, E., Heggemann, L., Fowler, A., Howery, M., Hammond, S., and Evans, K., 2019, Developing a decision-support process for landscape conservation design, 66 p.","productDescription":"66 p.","ipdsId":"IP-096062","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":366310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366288,"type":{"id":15,"text":"Index Page"},"url":"https://www.nrs.fs.fed.us/pubs/58309"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bonnot, Thomas W.","contributorId":217893,"corporation":false,"usgs":false,"family":"Bonnot","given":"Thomas","email":"","middleInitial":"W.","affiliations":[{"id":39710,"text":"School of Natural Resources, University of Missouri and Northeast Climate Science Center","active":true,"usgs":false}],"preferred":false,"id":767763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones-Farrand, D. Todd","contributorId":217894,"corporation":false,"usgs":false,"family":"Jones-Farrand","given":"D.","email":"","middleInitial":"Todd","affiliations":[{"id":39711,"text":"Gulf-Coastal Plains and Ozarks Landscape Conservation Cooperative, U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":767764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson III, Frank R.","contributorId":166950,"corporation":false,"usgs":false,"family":"Thompson III","given":"Frank R.","affiliations":[{"id":5121,"text":"U.S. Forest Service, Rocky Mountain Research Station, 1221 South Main Street, Moscow, ID 83843","active":true,"usgs":false}],"preferred":false,"id":767765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Millspaugh, Joshua J.","contributorId":11141,"corporation":false,"usgs":false,"family":"Millspaugh","given":"Joshua J.","affiliations":[],"preferred":false,"id":767766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzgerald, Jane A.","contributorId":217895,"corporation":false,"usgs":false,"family":"Fitzgerald","given":"Jane","email":"","middleInitial":"A.","affiliations":[{"id":39712,"text":"Central Hardwoods Joint Venture, American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":767767,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muenks, Nate","contributorId":217896,"corporation":false,"usgs":false,"family":"Muenks","given":"Nate","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":767768,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanberry, Phillip","contributorId":217897,"corporation":false,"usgs":false,"family":"Hanberry","given":"Phillip","email":"","affiliations":[{"id":39713,"text":"Missouri Resource Assessment Partnership","active":true,"usgs":false}],"preferred":false,"id":767769,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stroh, Esther 0000-0003-4291-4647","orcid":"https://orcid.org/0000-0003-4291-4647","contributorId":202825,"corporation":false,"usgs":true,"family":"Stroh","given":"Esther","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":767762,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Heggemann, Larry","contributorId":217898,"corporation":false,"usgs":false,"family":"Heggemann","given":"Larry","email":"","affiliations":[{"id":39712,"text":"Central Hardwoods Joint Venture, American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":767770,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fowler, Allison","contributorId":217899,"corporation":false,"usgs":false,"family":"Fowler","given":"Allison","email":"","affiliations":[{"id":37007,"text":"Arkansas Game and Fish Commission","active":true,"usgs":false}],"preferred":false,"id":767771,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Howery, Mark","contributorId":217900,"corporation":false,"usgs":false,"family":"Howery","given":"Mark","email":"","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":767772,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hammond, Shea","contributorId":217901,"corporation":false,"usgs":false,"family":"Hammond","given":"Shea","email":"","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":767773,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Evans, Kristine","contributorId":217902,"corporation":false,"usgs":false,"family":"Evans","given":"Kristine","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":767774,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70204597,"text":"70204597 - 2019 - Survival and density of a dominant fish species across a gradient of urbanization in North Carolina tidal creeks","interactions":[],"lastModifiedDate":"2019-08-07T08:51:05","indexId":"70204597","displayToPublicDate":"2019-08-06T11:38:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Survival and density of a dominant fish species across a gradient of urbanization in North Carolina tidal creeks","docAbstract":"Development in the southeastern U.S. coastal plain generates the need for a better understanding of how demographics (survival and abundance) of estuarine nekton respond to urbanization.  Apparent survival and density of the dominant Atlantic coast salt marsh fish, Fundulus heteroclitus, were estimated in four North Carolina tidal creeks using a model simultaneously fitted to mark-resight and mark-recapture data.  Rates of weekly loss (mortality plus emigration) were high (~10%).  Sampling for tagged fish within- and outside of study creeks showed high site fidelity to each creek, suggesting that loss largely result from mortality rather than emigration.  Estimated rates of apparent survival were lowest in the creek with the least instream- and watershed-level impacts relative to creeks with greater impacts; this was also the creek with direct (non-culvert) access downstream to a larger waterbody, suggesting that enhanced access by predators and/or greater rates of permanent emigration may have contributed to loss there.  There was a positive relationship between minnow trap catch-per-unit-effort (CPUE) and density; CPUE was used to index density so that the relationship between it and habitat and urbanization effects could be examined in two additional (six total) study creeks.  Highest CPUE estimates occurred early in each growing season and were associated with creeks possessing characteristics most representative of undisturbed salt marsh mosaics: high percentages of marsh coverage instream and downstream and greatest percentages of marsh edge.  Given generally limited movement outside of creeks, differences in abundance among creeks likely result from different levels of recruitment that are related to salt marsh availability.  Natural resource planners should prioritize preservation of salt marsh habitats to maintain abundance levels of this trophically important species.","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00575-5","usgsCitation":"Rudershausen, P.J., Hightower, J., Buckel, J., O’Donnell, M.J., Dubreuil, T., and Letcher, B., 2019, Survival and density of a dominant fish species across a gradient of urbanization in North Carolina tidal creeks: Estuaries and Coasts, v. 42, no. 6, p. 1632-1653, https://doi.org/10.1007/s12237-019-00575-5.","productDescription":"22 p.","startPage":"1632","endPage":"1653","ipdsId":"IP-101576","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":366297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina ","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-75.753765,35.199612],[-75.718015,35.209377],[-75.684006,35.232913],[-75.664512,35.227514],[-75.630358,35.238487],[-75.599005,35.256253],[-75.596915,35.269491],[-75.581935,35.263917],[-75.535741,35.272856],[-75.529393,35.288272],[-75.487678,35.485056],[-75.487528,35.525889],[-75.47861,35.553069],[-75.48133,35.622896],[-75.487678,35.648287],[-75.507385,35.680564],[-75.515397,35.73038],[-75.533512,35.773577],[-75.522232,35.774178],[-75.496086,35.728515],[-75.458659,35.596597],[-75.471355,35.479615],[-75.486771,35.391652],[-75.52592,35.233839],[-75.533627,35.225825],[-75.560225,35.232048],[-75.610101,35.227514],[-75.769705,35.180359],[-75.944725,35.105091],[-76.013145,35.061855],[-76.013561,35.068832],[-75.99188,35.092395],[-75.989175,35.115165],[-75.98395,35.120042],[-75.9547,35.1196],[-75.893942,35.150433],[-75.801444,35.183079],[-75.785729,35.194244],[-75.753765,35.199612]]],[[[-75.675245,35.929024],[-75.65954,35.919564],[-75.662019,35.906522],[-75.64512,35.905788],[-75.62767,35.883149],[-75.616833,35.856331],[-75.619772,35.847606],[-75.614361,35.815659],[-75.620454,35.809253],[-75.63898,35.818639],[-75.667891,35.82354],[-75.675054,35.830204],[-75.660086,35.83861],[-75.663356,35.869835],[-75.67283,35.882423],[-75.681415,35.88398],[-75.697672,35.901639],[-75.696871,35.909556],[-75.702165,35.915428],[-75.723782,35.925569],[-75.727251,35.93362],[-75.718266,35.939714],[-75.705323,35.939403],[-75.675245,35.929024]]],[[[-76.12236,36.550621],[-75.867044,36.550754],[-75.818735,36.357579],[-75.773329,36.231529],[-75.71831,36.113674],[-75.658537,36.02043],[-75.569794,35.863301],[-75.533012,35.787377],[-75.536428,35.780118],[-75.543259,35.779691],[-75.573083,35.828867],[-75.588878,35.844926],[-75.619151,35.889415],[-75.620114,35.925288],[-75.648899,35.965758],[-75.668379,35.978394],[-75.678909,35.993925],[-75.723662,36.003139],[-75.727084,36.01051],[-75.722609,36.037362],[-75.737088,36.040784],[-75.74051,36.046839],[-75.73972,36.07527],[-75.75572,36.153922],[-75.783676,36.215949],[-75.811588,36.244014],[-75.808165,36.259545],[-75.814483,36.285344],[-75.822907,36.291662],[-75.837913,36.294558],[-75.845284,36.305614],[-75.841335,36.328517],[-75.831858,36.339047],[-75.831595,36.346418],[-75.836201,36.363135],[-75.85147,36.379456],[-75.85147,36.415785],[-75.864106,36.430527],[-75.888325,36.441583],[-75.899908,36.482124],[-75.907279,36.485809],[-75.924127,36.482124],[-75.935473,36.490601],[-75.972545,36.494671],[-76.003708,36.506235],[-76.023627,36.500778],[-76.031949,36.482496],[-76.012337,36.447462],[-75.98005,36.435464],[-75.962285,36.41724],[-75.940676,36.41885],[-75.928369,36.428588],[-75.923601,36.425788],[-75.916409,36.38901],[-75.923331,36.361863],[-75.895285,36.319615],[-75.882154,36.284674],[-75.864933,36.284674],[-75.86052,36.280607],[-75.867356,36.252483],[-75.864154,36.235522],[-75.858703,36.222628],[-75.848838,36.21657],[-75.838367,36.200129],[-75.839924,36.17711],[-75.823915,36.158332],[-75.822531,36.145957],[-75.800378,36.112728],[-75.791637,36.082267],[-75.793974,36.07171],[-75.836084,36.092616],[-75.867792,36.127262],[-75.863914,36.159226],[-75.882987,36.186807],[-75.910658,36.212157],[-75.922344,36.244122],[-75.94984,36.25787],[-75.96462,36.254433],[-75.957058,36.247903],[-75.945372,36.222468],[-75.956027,36.198065],[-75.936436,36.18088],[-75.904999,36.164188],[-75.939047,36.165518],[-76.016984,36.186367],[-76.029086,36.202036],[-76.043838,36.210126],[-76.054308,36.229162],[-76.08148,36.237935],[-76.132005,36.287773],[-76.184702,36.298166],[-76.188717,36.281242],[-76.171378,36.265806],[-76.149486,36.263902],[-76.115851,36.214219],[-76.080106,36.19944],[-76.05992,36.15514],[-76.064224,36.143775],[-76.092555,36.135794],[-76.178946,36.123424],[-76.206873,36.137521],[-76.254064,36.18419],[-76.273316,36.189062],[-76.27699,36.184952],[-76.247401,36.161823],[-76.228527,36.130647],[-76.191715,36.107197],[-76.216599,36.095409],[-76.265037,36.104886],[-76.329921,36.133396],[-76.373571,36.138208],[-76.3935,36.163251],[-76.447812,36.192514],[-76.454414,36.189901],[-76.456061,36.183577],[-76.375892,36.12042],[-76.346418,36.121023],[-76.334965,36.110903],[-76.298733,36.1012],[-76.303998,36.092776],[-76.323478,36.084879],[-76.355069,36.086458],[-76.410878,36.078034],[-76.420881,36.06066],[-76.451418,36.039073],[-76.459316,36.024331],[-76.491959,36.018013],[-76.514335,36.00564],[-76.547505,36.009852],[-76.580674,36.00722],[-76.60384,36.033018],[-76.615423,36.037757],[-76.653332,36.035124],[-76.676484,36.043612],[-76.721445,36.147838],[-76.719401,36.199441],[-76.675462,36.266882],[-76.693253,36.278357],[-76.744436,36.212725],[-76.7521,36.147328],[-76.722996,36.066585],[-76.679657,35.991951],[-76.70019,35.964573],[-76.692376,35.945342],[-76.667547,35.933509],[-76.528551,35.944039],[-76.473795,35.960888],[-76.460632,35.970365],[-76.398242,35.984317],[-76.38192,35.971681],[-76.381394,35.96273],[-76.362966,35.942197],[-76.340327,35.94325],[-76.317687,35.946935],[-76.272408,35.972734],[-76.213966,35.988002],[-76.176585,35.993267],[-76.093697,35.993001],[-76.083131,35.989845],[-76.062071,35.993004],[-76.024162,35.970891],[-76.014159,35.957202],[-76.01995,35.934036],[-76.014353,35.920746],[-76.063203,35.853433],[-76.050485,35.806689],[-76.046813,35.717935],[-76.036393,35.690344],[-76.046361,35.659067],[-76.04015,35.65131],[-76.029863,35.649443],[-76.013808,35.669103],[-75.9869,35.768194],[-75.987148,35.836967],[-75.97783,35.897181],[-75.962562,35.901393],[-75.94782,35.920347],[-75.927286,35.93193],[-75.92676,35.940354],[-75.943608,35.952464],[-75.947293,35.959835],[-75.899382,35.977209],[-75.84989,35.976156],[-75.80935,35.959308],[-75.800926,35.944566],[-75.782498,35.935615],[-75.778813,35.918241],[-75.751961,35.878227],[-75.748276,35.852428],[-75.734587,35.839266],[-75.727216,35.822703],[-75.726689,35.811361],[-75.739357,35.770994],[-75.724743,35.742892],[-75.71294,35.69849],[-75.713502,35.693993],[-75.741605,35.672073],[-75.742167,35.655212],[-75.729802,35.625985],[-75.747225,35.610248],[-75.778138,35.592262],[-75.775328,35.579335],[-75.837154,35.570904],[-75.859636,35.586641],[-75.895045,35.573152],[-75.916403,35.538305],[-75.950126,35.530998],[-75.964178,35.511326],[-75.963053,35.493903],[-75.987222,35.484348],[-75.995652,35.475355],[-75.997901,35.453435],[-76.009704,35.442194],[-76.01139,35.423084],[-76.020945,35.410719],[-76.025441,35.408471],[-76.050171,35.415778],[-76.059726,35.410157],[-76.063661,35.405099],[-76.059726,35.383741],[-76.069281,35.370813],[-76.132793,35.349455],[-76.14291,35.338776],[-76.14291,35.32866],[-76.149655,35.326411],[-76.182254,35.336528],[-76.20586,35.336528],[-76.235087,35.350017],[-76.253072,35.350017],[-76.257569,35.344397],[-76.265437,35.343273],[-76.282299,35.345521],[-76.304781,35.355638],[-76.327263,35.356762],[-76.335132,35.355638],[-76.340752,35.346645],[-76.349745,35.345521],[-76.382344,35.356762],[-76.399206,35.348893],[-76.408199,35.350017],[-76.431805,35.362383],[-76.436301,35.37812],[-76.448666,35.383741],[-76.462156,35.380368],[-76.472273,35.371375],[-76.485762,35.371375],[-76.540292,35.410657],[-76.586349,35.508957],[-76.476706,35.511707],[-76.456427,35.550546],[-76.471207,35.55742],[-76.48358,35.538172],[-76.55679,35.528892],[-76.600441,35.538516],[-76.634468,35.510332],[-76.601472,35.460838],[-76.580187,35.387113],[-76.606041,35.387113],[-76.710083,35.427155],[-76.759234,35.418906],[-76.830897,35.447949],[-76.942022,35.473529],[-77.023912,35.514802],[-77.026638,35.490569],[-76.967214,35.438296],[-76.891938,35.433649],[-76.664027,35.345696],[-76.500375,35.321915],[-76.482389,35.314046],[-76.467776,35.276951],[-76.467776,35.261213],[-76.477893,35.243228],[-76.490258,35.233111],[-76.494755,35.212877],[-76.521733,35.192643],[-76.536346,35.174657],[-76.539719,35.166788],[-76.536346,35.142058],[-76.546463,35.122948],[-76.557704,35.116204],[-76.568945,35.097094],[-76.60042,35.067867],[-76.631895,35.056626],[-76.801426,34.964369],[-76.982904,35.060607],[-76.989778,35.045484],[-76.977404,35.004926],[-76.89354,34.957495],[-76.762931,34.920374],[-76.635072,34.989116],[-76.588055,34.991428],[-76.566697,34.998173],[-76.502623,35.007166],[-76.491382,35.017283],[-76.490258,35.034144],[-76.474521,35.070116],[-76.463468,35.076411],[-76.435762,35.057941],[-76.425461,35.001464],[-76.395625,34.975179],[-76.332044,34.970917],[-76.326361,34.976245],[-76.329557,34.986901],[-76.364367,35.034853],[-76.318546,35.020645],[-76.288354,35.005726],[-76.296524,34.976245],[-76.275567,34.960971],[-76.277698,34.940014],[-76.347673,34.872171],[-76.368274,34.872881],[-76.379641,34.86258],[-76.400242,34.855476],[-76.463016,34.785076],[-76.524712,34.681964],[-76.586236,34.698805],[-76.582421,34.767757],[-76.604796,34.787482],[-76.620606,34.784389],[-76.616567,34.714059],[-76.673619,34.71491],[-76.673537,34.70757],[-76.523303,34.652271],[-76.383827,34.807906],[-76.322808,34.86116],[-76.233672,34.925926],[-76.093349,35.048705],[-76.069906,35.075701],[-76.043621,35.070017],[-76.035933,35.058987],[-76.137269,34.987858],[-76.233088,34.905477],[-76.31021,34.852309],[-76.386804,34.784579],[-76.494068,34.66197],[-76.524199,34.615416],[-76.535946,34.588577],[-76.555196,34.615993],[-76.549343,34.645585],[-76.579467,34.660174],[-76.642939,34.677618],[-76.676312,34.693151],[-76.770044,34.696899],[-76.817453,34.693722],[-76.990262,34.669623],[-77.136843,34.632926],[-77.209161,34.605032],[-77.322524,34.535574],[-77.462922,34.471354],[-77.556943,34.417218],[-77.661673,34.341868],[-77.740136,34.272546],[-77.829209,34.162618],[-77.878161,34.067963],[-77.915536,33.971723],[-77.946568,33.912261],[-77.960172,33.853315],[-77.970606,33.844517],[-78.009973,33.861406],[-78.018689,33.888289],[-78.095429,33.906031],[-78.17772,33.914272],[-78.276147,33.912364],[-78.383964,33.901946],[-78.509042,33.865515],[-78.541087,33.851112],[-79.358317,34.545358],[-79.675299,34.804744],[-80.797543,34.819786],[-80.782042,34.935782],[-80.93495,35.107409],[-81.041489,35.044703],[-81.057648,35.062433],[-81.058029,35.07319],[-81.052078,35.096276],[-81.032806,35.108049],[-81.038968,35.126299],[-81.05042,35.131048],[-81.044391,35.147918],[-81.239358,35.159974],[-82.27492,35.200071],[-82.314863,35.191089],[-82.32335,35.184789],[-82.344554,35.193115],[-82.361469,35.190831],[-82.36899,35.181747],[-82.379712,35.186884],[-82.378744,35.198053],[-82.390439,35.215395],[-82.403348,35.204473],[-82.417597,35.200131],[-82.439595,35.165863],[-82.448969,35.165037],[-82.455609,35.177425],[-82.460092,35.178143],[-82.483937,35.173798],[-82.495506,35.164312],[-82.516044,35.163442],[-82.529973,35.155617],[-82.550508,35.159498],[-82.556168,35.151736],[-82.563767,35.151575],[-82.578316,35.142104],[-82.609706,35.139039],[-82.629031,35.126155],[-82.642237,35.129215],[-82.662381,35.118123],[-82.683625,35.125833],[-82.694898,35.098456],[-82.72701,35.094142],[-82.738379,35.079453],[-82.749491,35.078487],[-82.757704,35.068019],[-82.777376,35.064143],[-82.781973,35.066817],[-82.776357,35.081349],[-82.787867,35.085024],[-83.108535,35.000771],[-83.620185,34.992091],[-83.619985,34.986592],[-84.321869,34.988408],[-84.29024,35.225572],[-84.28322,35.226577],[-84.223718,35.269078],[-84.211818,35.266078],[-84.202879,35.255772],[-84.200117,35.244679],[-84.188417,35.239979],[-84.170416,35.245779],[-84.12889,35.243679],[-84.12115,35.250644],[-84.097508,35.247382],[-84.081117,35.261146],[-84.052612,35.269982],[-84.02141,35.301383],[-84.02651,35.309283],[-84.03501,35.311983],[-84.029377,35.333197],[-84.038081,35.348363],[-84.024756,35.353896],[-84.007586,35.371661],[-84.008207,35.389683],[-84.021782,35.407418],[-84.00225,35.422548],[-83.992568,35.438065],[-83.973057,35.448921],[-83.971439,35.455145],[-83.966656,35.454941],[-83.961054,35.462838],[-83.949389,35.461164],[-83.937015,35.471511],[-83.911773,35.476028],[-83.905612,35.48906],[-83.880074,35.518745],[-83.859261,35.521851],[-83.848502,35.519259],[-83.827428,35.524653],[-83.802434,35.541588],[-83.780129,35.550387],[-83.771736,35.562118],[-83.749894,35.561146],[-83.735669,35.565455],[-83.723459,35.561874],[-83.707199,35.568533],[-83.676268,35.570289],[-83.640498,35.566075],[-83.608889,35.579451],[-83.582,35.562684],[-83.56609,35.565993],[-83.498335,35.562981],[-83.485527,35.568204],[-83.479317,35.582764],[-83.455722,35.598045],[-83.445802,35.611803],[-83.421576,35.611186],[-83.396626,35.62272],[-83.388602,35.632352],[-83.366941,35.638728],[-83.35156,35.659858],[-83.334965,35.665471],[-83.321101,35.662815],[-83.312757,35.654809],[-83.297154,35.65775],[-83.290682,35.672638],[-83.258117,35.691924],[-83.255489,35.714974],[-83.251247,35.719916],[-83.240669,35.72676],[-83.214501,35.724434],[-83.18837,35.729798],[-83.159208,35.764892],[-83.120183,35.766234],[-83.07403,35.790016],[-83.036209,35.787405],[-83.001473,35.773752],[-82.992053,35.773948],[-82.964088,35.78998],[-82.961724,35.800491],[-82.945515,35.824662],[-82.920171,35.841664],[-82.918312,35.863977],[-82.901301,35.872593],[-82.901843,35.890274],[-82.911936,35.921618],[-82.901577,35.931446],[-82.898506,35.9451],[-82.874159,35.952698],[-82.860724,35.94743],[-82.852554,35.949089],[-82.826045,35.929721],[-82.82257,35.922531],[-82.804997,35.927168],[-82.805771,35.935316],[-82.800431,35.944155],[-82.787465,35.952163],[-82.785356,35.96253],[-82.774905,35.971978],[-82.785558,35.977795],[-82.785267,35.987927],[-82.776001,36.000103],[-82.750065,36.006004],[-82.688865,36.038604],[-82.684765,36.045004],[-82.637165,36.065805],[-82.618664,36.056105],[-82.618164,36.047005],[-82.609663,36.044906],[-82.596177,36.03188],[-82.595525,36.026012],[-82.614362,36.003506],[-82.613028,35.994],[-82.604239,35.987319],[-82.610889,35.967409],[-82.581003,35.965557],[-82.576678,35.959255],[-82.557874,35.953901],[-82.549682,35.964275],[-82.507068,35.977475],[-82.483498,35.996284],[-82.460658,36.007809],[-82.409458,36.083409],[-82.355157,36.115609],[-82.336756,36.114909],[-82.321448,36.119551],[-82.289455,36.13571],[-82.270954,36.12761],[-82.260353,36.13371],[-82.247521,36.130865],[-82.213852,36.159112],[-82.182549,36.143714],[-82.147948,36.149516],[-82.136547,36.128817],[-82.137974,36.119576],[-82.127146,36.104417],[-82.105444,36.108119],[-82.080303,36.105728],[-82.061342,36.113121],[-82.054142,36.126821],[-82.033141,36.120422],[-81.908137,36.302013],[-81.879382,36.313767],[-81.857333,36.334787],[-81.841268,36.343321],[-81.800812,36.358073],[-81.766102,36.338517],[-81.730976,36.341187],[-81.707438,36.335171],[-81.707785,36.346007],[-81.721334,36.353101],[-81.732865,36.376502],[-81.729813,36.388033],[-81.737952,36.39719],[-81.739648,36.406686],[-81.720734,36.422537],[-81.715229,36.436532],[-81.71489,36.45722],[-81.695311,36.467912],[-81.697829,36.507544],[-81.707573,36.526101],[-81.707963,36.536209],[-81.699962,36.536829],[-81.69003,36.552154],[-81.690236,36.568718],[-81.677036,36.570718],[-81.677535,36.588117],[-81.003802,36.563629],[-80.837954,36.559131],[-80.704831,36.562319],[-80.295243,36.543973],[-80.122183,36.542646],[-78.529722,36.540981],[-77.16966,36.547315],[-77.152691,36.544078],[-76.916048,36.543815],[-76.916989,36.550742],[-76.12236,36.550621]]]]},\"properties\":{\"name\":\"North Carolina\",\"nation\":\"USA  \"}}]}","volume":"42","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Rudershausen, Paul J","contributorId":217869,"corporation":false,"usgs":false,"family":"Rudershausen","given":"Paul","email":"","middleInitial":"J","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":767719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hightower, Joseph E","contributorId":217870,"corporation":false,"usgs":false,"family":"Hightower","given":"Joseph E","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":767720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckel, Jeffery A","contributorId":217871,"corporation":false,"usgs":false,"family":"Buckel","given":"Jeffery A","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":767721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Donnell, Matthew J. 0000-0002-9089-2377 modonnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":2003,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Matthew","email":"modonnell@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":767718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dubreuil, Todd 0000-0003-0189-4336","orcid":"https://orcid.org/0000-0003-0189-4336","contributorId":217872,"corporation":false,"usgs":true,"family":"Dubreuil","given":"Todd","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":767722,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":167313,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin H.","email":"bletcher@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":767723,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70206905,"text":"70206905 - 2019 - The emerging contaminant 3,3’-dichlorobiphenyl (PCB-11) impedes Ahr activation and Cyp1a activity to modify embryotoxicity of Ahr ligands in the zebrafish embryo model (Danio rerio)","interactions":[],"lastModifiedDate":"2019-11-27T08:33:00","indexId":"70206905","displayToPublicDate":"2019-08-06T08:32:15","publicationYear":"2019","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":"The emerging contaminant 3,3’-dichlorobiphenyl (PCB-11) impedes Ahr activation and Cyp1a activity to modify embryotoxicity of Ahr ligands in the zebrafish embryo model (Danio rerio)","docAbstract":"Background: 3,3’-Dichlorobiphenyl (PCB-11) is a non-legacy PCB congener widely detected in environmental samples and has been detected in human serum, but its toxicity potential is poorly understood.\nObjectives: We measured PCB-11 in wild caught fish and assessed its embryotoxicity and interactions with the aryl hydrocarbon receptor (Ahr) pathway in developing zebrafish (Danio rerio). \nMethods: PCB-11 was measured in wild freshwater fish from a river in Western Massachusetts. In the laboratory, zebrafish embryos were exposed to 45 µg/L, 450 µg/L, or 4,500 µg/L PCB-11 from 24-96 hours post fertilization (hpf), when they were assessed for gross morphology and Cyp1a activity using the in vivo EROD bioassay. Ahr pathway interactions were probed by co-exposing zebrafish to the Ahr agonists PCB-126 and the model PAH beta-naphthoflavone (BNF). Liver development was assessed using the Tg(gut:GFP) zebrafish line. Zebrafish exposed to 4,500 µg/L PCB-11 were also collected at 96 hpf for qRT-PCR, RNAseq, and histology.\nResults: Environmental concentrations of PCB-11 ranged from 103.0-136.0 ng/kg wet weight in wild fish tissue. Exposure to PCB-11 alone mildly affected EROD activity but did not affect gross morphology. However, 4,500 µg/L PCB-11 alone altered the expression of xenobiotic metabolism and liver development genes, impeded liver development, and increased vacuole formation in histology sections. In co-exposures, 4,500 µg/L PCB-11 prevented deformities caused by PCB-126 but exacerbated deformities in co-exposures with BNF. \nDiscussion: PCB-11 is present in wild fish caught near a paper recycling facility in Western Massachusetts. Higher concentrations that may be present elsewhere such as the 4,500 µg/L PCB-11 concentration tested in zebrafish, can affect liver development, act as both a partial agonist/antagonist of the Ahr pathway, and act as an antagonist of Cyp1a activity to modify the toxicity of compounds that interact with the Ahr pathway.","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2019.113027","usgsCitation":"Roy, M.A., Sant, K.E., Venezia, O.L., Shipman, A.B., McCormick, S.D., and Timme-Laragy, A.R., 2019, The emerging contaminant 3,3’-dichlorobiphenyl (PCB-11) impedes Ahr activation and Cyp1a activity to modify embryotoxicity of Ahr ligands in the zebrafish embryo model (Danio rerio): Environmental Pollution, v. 254, no. Part A, 113027, https://doi.org/10.1016/j.envpol.2019.113027.","productDescription":"113027","ipdsId":"IP-100612","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":467392,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7027435","text":"External Repository"},{"id":369695,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"254","issue":"Part A","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roy, Monika A","contributorId":220917,"corporation":false,"usgs":false,"family":"Roy","given":"Monika","email":"","middleInitial":"A","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":776202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sant, Karilyn E","contributorId":220918,"corporation":false,"usgs":false,"family":"Sant","given":"Karilyn","email":"","middleInitial":"E","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":776203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Venezia, Olivia L","contributorId":220919,"corporation":false,"usgs":false,"family":"Venezia","given":"Olivia","email":"","middleInitial":"L","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":776204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shipman, Alix B","contributorId":220920,"corporation":false,"usgs":false,"family":"Shipman","given":"Alix","email":"","middleInitial":"B","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":776205,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":776201,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Timme-Laragy, Alicia R","contributorId":220921,"corporation":false,"usgs":false,"family":"Timme-Laragy","given":"Alicia","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":776206,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70206568,"text":"70206568 - 2019 - Speaking the same language: Can the Sustainable Development Goals translate the needs of inland fisheries into irrigation decisions?","interactions":[],"lastModifiedDate":"2020-12-09T13:11:51.626281","indexId":"70206568","displayToPublicDate":"2019-08-06T08:27:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Speaking the same language: Can the Sustainable Development Goals translate the needs of inland fisheries into irrigation decisions?","docAbstract":"Irrigated agriculture and inland fisheries both make important contributions to food security, nutrition, livelihoods, and well-being. Typically, in modern irrigation systems, these components operate independently. Some practices, commonly associated with water use and intensification of crop production, can be in direct conflict with and have adverse impacts on fisheries. Food security objectives may be compromised if fish are not considered in the design phases of irrigation systems. The 2030 Agenda for Sustainable Development provides a framework that can serve as a backdrop to help integrate both sectors in policy discussions and optimize their contributions to achieving the Sustainable Development Goals (SDGs). Inland fisheries systems do play an important role in supporting many SDG objectives, but these contributions can sometimes be at odds with irrigated agriculture. Using case studies of two globally important river catchments, the Lower Mekong and Murray-Darling Basins, we highlight the conflicts and opportunities for improved outcomes between irrigated agriculture and inland fisheries. We explore SDG 2 (Zero Hunger) as a path to advance our irrigation systems as a means to benefit both agriculture and inland fisheries, preserving biodiversity and enhancing the economic, environmental, and social benefits they both provide to people.","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/MF19176","usgsCitation":"Lynch, A., Baumgartner, L.J., Boys, C.A., Conallin, J., Cowx, I.G., Finlayson, C.M., Franklin, P.A., Hogan, Z., Koehn, J.D., McCartney, M.P., O’Brien, G.C., Phouthavong, K., Silva, L., Tob, C.A., Valbo-Jorgensen, J., Vu, A.V., Whiting, L., Wibowo, A., and Duncan, P., 2019, Speaking the same language: Can the Sustainable Development Goals translate the needs of inland fisheries into irrigation decisions?: Marine and Freshwater Research, v. 70, no. 9, p. 1211-1228, https://doi.org/10.1071/MF19176.","productDescription":"18 p.","startPage":"1211","endPage":"1228","ipdsId":"IP-108375","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":467393,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/mf19176","text":"Publisher Index Page"},{"id":369100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":774991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baumgartner, Lee J.","contributorId":203990,"corporation":false,"usgs":false,"family":"Baumgartner","given":"Lee","email":"","middleInitial":"J.","affiliations":[{"id":36787,"text":"Charles Sturt University, Institute for Land, Water, and Society","active":true,"usgs":false}],"preferred":false,"id":774992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boys, Craig A.","contributorId":220477,"corporation":false,"usgs":false,"family":"Boys","given":"Craig","email":"","middleInitial":"A.","affiliations":[{"id":40172,"text":"New South Wales Department of Primary Industries","active":true,"usgs":false}],"preferred":false,"id":774993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conallin, John","contributorId":220478,"corporation":false,"usgs":false,"family":"Conallin","given":"John","email":"","affiliations":[{"id":40173,"text":"Charles Sturt University","active":true,"usgs":false}],"preferred":false,"id":774994,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":774995,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finlayson, C. Max","contributorId":214053,"corporation":false,"usgs":false,"family":"Finlayson","given":"C.","email":"","middleInitial":"Max","affiliations":[{"id":38968,"text":"Institute for Land, Water and Society, Charles Sturt University, Albury, Australia","active":true,"usgs":false}],"preferred":false,"id":774996,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Franklin, Paul A.","contributorId":220480,"corporation":false,"usgs":false,"family":"Franklin","given":"Paul","email":"","middleInitial":"A.","affiliations":[{"id":40175,"text":"National Institute of Water and Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":774997,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hogan, Zeb","contributorId":145553,"corporation":false,"usgs":false,"family":"Hogan","given":"Zeb","email":"","affiliations":[],"preferred":false,"id":774998,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Koehn, John D.","contributorId":220481,"corporation":false,"usgs":false,"family":"Koehn","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":27292,"text":"Arthur Rylah Institute for Environmental Research","active":true,"usgs":false}],"preferred":false,"id":774999,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCartney, Matthrew P.","contributorId":220482,"corporation":false,"usgs":false,"family":"McCartney","given":"Matthrew","email":"","middleInitial":"P.","affiliations":[{"id":40176,"text":"International Water Management Institute","active":true,"usgs":false}],"preferred":false,"id":775000,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"O’Brien, Gordon C.","contributorId":203994,"corporation":false,"usgs":false,"family":"O’Brien","given":"Gordon","email":"","middleInitial":"C.","affiliations":[{"id":36791,"text":"University of KwaZulu-Natal, School of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":775001,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Phouthavong, Kaviphone","contributorId":166924,"corporation":false,"usgs":false,"family":"Phouthavong","given":"Kaviphone","email":"","affiliations":[{"id":24573,"text":"Hull University","active":true,"usgs":false}],"preferred":false,"id":775002,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Silva, Luiz G. M.","contributorId":220483,"corporation":false,"usgs":false,"family":"Silva","given":"Luiz G. M.","affiliations":[{"id":40173,"text":"Charles Sturt University","active":true,"usgs":false}],"preferred":false,"id":775003,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tob, Chann Aun","contributorId":220484,"corporation":false,"usgs":false,"family":"Tob","given":"Chann","email":"","middleInitial":"Aun","affiliations":[{"id":40177,"text":"Inland Fisheries Research and Development Institute","active":true,"usgs":false}],"preferred":false,"id":775004,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Valbo-Jorgensen, John 0000-0002-1992-5682","orcid":"https://orcid.org/0000-0002-1992-5682","contributorId":220485,"corporation":false,"usgs":false,"family":"Valbo-Jorgensen","given":"John","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":775005,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Vu, An Vi","contributorId":220486,"corporation":false,"usgs":false,"family":"Vu","given":"An","email":"","middleInitial":"Vi","affiliations":[{"id":40173,"text":"Charles Sturt University","active":true,"usgs":false}],"preferred":false,"id":775006,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Whiting, Louise","contributorId":220487,"corporation":false,"usgs":false,"family":"Whiting","given":"Louise","email":"","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":775007,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wibowo, Arif","contributorId":220488,"corporation":false,"usgs":false,"family":"Wibowo","given":"Arif","email":"","affiliations":[{"id":40178,"text":"Ministry of Marine Affairs and Fisheries, Indonesia","active":true,"usgs":false}],"preferred":false,"id":775008,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Duncan, Phil","contributorId":220489,"corporation":false,"usgs":false,"family":"Duncan","given":"Phil","email":"","affiliations":[{"id":16788,"text":"Macquarie University","active":true,"usgs":false}],"preferred":false,"id":775009,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70206160,"text":"70206160 - 2019 - Quantifying trends and uncertainty in prehistoric forest composition","interactions":[],"lastModifiedDate":"2019-12-04T06:27:40","indexId":"70206160","displayToPublicDate":"2019-08-05T06:57:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying trends and uncertainty in prehistoric forest composition","docAbstract":"Forest ecosystems in eastern North America were in flux over the last\nseveral thousand years, well before Euro-American land clearance and the\n20th-century onset of anthropogenic climate change. However, the\nmagnitude and uncertainty of prehistoric vegetation change have been\ndifficult to quantify because of the multiple ecological, dispersal, and\nsedimentary processes that govern the relationship between forest\ncomposition and fossil pollen assemblages. Here we extend STEPPS, a\nBayesian hierarchical spatio-temporal pollen-vegetation model, to estimate\nchanges in forest composition in the upper Midwestern United States from\nabout 2000 to 200 years ago. Using this approach, we identify areas of\nstatistically and ecologically significant change. Between 2000 and 200\nyears ago, forest composition significantly changed across broad regions of\nnorth-central Wisconsin and Minnesota. Rates of compositional change\nvaried spatially, and can be linked to previously reported events. The single\nlargest change is the infilling of Tsuga canadensis in northern Wisconsin\nover the past 2000 years. Despite this range in-filling, the range limit of T.\ncanadensis was largely stable, with modest expansion westward. The\nregional ecotone between temperate hardwood forests and northern mixed\nhardwood/conifer forests shifted southwestward by 15-20 km in Minnesota\nand Northwestern Wisconsin. Fraxinus, Ulmus, and other mesic hardwoods\nexpanded in the Big Woods region of southern Minnesota. However, some\nareas showed no significant change, suggesting high complexity in the\nspatiotemporal patterns of past forest dynamics. The increasing density of\npaleoecological data networks and advances in statistical modeling\napproaches now enables the confident detection of subtle but significant\nchanges in forest composition over the last 2000 years.","language":"English","publisher":"Wiley","doi":"10.1002/ecy.2856","usgsCitation":"Andria Dawson, Christopher J. Paciorek, Goring, S., Jackson, S., Jason S. McLachlan, and John W. Williams, 2019, Quantifying trends and uncertainty in prehistoric forest composition: Ecology, v. 100, no. 12, e02856, https://doi.org/10.1002/ecy.2856.","productDescription":"e02856","ipdsId":"IP-096645","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":467395,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2856","text":"Publisher Index Page"},{"id":368548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.328125,\n              42.85985981506279\n            ],\n            [\n              -87.56103515625,\n              42.85985981506279\n            ],\n            [\n              -87.56103515625,\n              44.653024159812\n            ],\n            [\n              -96.328125,\n              44.653024159812\n            ],\n            [\n              -96.328125,\n              42.85985981506279\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"100","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Andria Dawson","contributorId":219996,"corporation":false,"usgs":false,"family":"Andria Dawson","affiliations":[{"id":40107,"text":"Mount Royal University","active":true,"usgs":false}],"preferred":false,"id":773745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christopher J. Paciorek","contributorId":219997,"corporation":false,"usgs":false,"family":"Christopher J. Paciorek","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":773746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goring, Simon","contributorId":219998,"corporation":false,"usgs":false,"family":"Goring","given":"Simon","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":773747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Stephen 0000-0002-1487-4652","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":219995,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":773744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jason S. McLachlan","contributorId":219999,"corporation":false,"usgs":false,"family":"Jason S. McLachlan","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":773748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"John W. Williams","contributorId":197556,"corporation":false,"usgs":false,"family":"John W. Williams","affiliations":[],"preferred":false,"id":773749,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70206467,"text":"70206467 - 2019 - Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses","interactions":[],"lastModifiedDate":"2023-06-21T15:28:30.150596","indexId":"70206467","displayToPublicDate":"2019-08-03T10:38:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3849,"text":"Transboundary and Emerging Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses","docAbstract":"<p><span>Influenza A viruses are one of the most significant viral groups globally with substantial impacts on human, domestic animal and wildlife health. Wild birds are the natural reservoirs for these viruses, and active surveillance within wild bird populations provides critical information about viral evolution forming the basis of risk assessments and countermeasure development. Unfortunately, active surveillance programs are often resource‐intensive, and thus, enhancing programs for increased efficiency is paramount. Machine learning, a branch of artificial intelligence applications, provides statistical learning procedures that can be used to gain novel insights into disease surveillance systems. We use a form of machine learning, gradient boosted trees, to estimate the probability of isolating avian influenza viruses (AIV) from wild bird samples collected during surveillance for AIVs from 2006 to 2011 in the United States. We examined several predictive features including age, sex, bird type, geographic location and matrix gene rRT‐PCR results. Our final model had high predictive power and only included geographic location and rRT‐PCR results as important predictors. The highest predicted viral isolation probability was for samples collected from the north‐central states and the south‐eastern region of Alaska. Lower rRT‐PCR Ct‐values are associated with increased likelihood of AIV isolation, and the model estimated 16% probability of isolating AIV from samples declared negative (i.e., ≥35 Ct‐value) using the rRT‐PCR screening test and standard protocols. Our model can be used to prioritize previously collected samples for isolation and rapidly evaluate AIV surveillance designs to maximize the probability of viral isolation given limited resources and laboratory capacity.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/tbed.13318","usgsCitation":"Walsh, D.P., Ma, T.F., Ip, S., and Zhu, J., 2019, Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses: Transboundary and Emerging Diseases, v. 66, no. 6, p. 2537-2545, https://doi.org/10.1111/tbed.13318.","productDescription":"9 p.; Data Release","startPage":"2537","endPage":"2545","ipdsId":"IP-109212","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":467396,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/tbed.13318","text":"Publisher Index Page"},{"id":368966,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418298,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96YJRWR"}],"volume":"66","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":774746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ma, Ting Fung","contributorId":220321,"corporation":false,"usgs":false,"family":"Ma","given":"Ting","email":"","middleInitial":"Fung","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":774747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":774748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhu, Jun","contributorId":73485,"corporation":false,"usgs":true,"family":"Zhu","given":"Jun","email":"","affiliations":[],"preferred":false,"id":774749,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205848,"text":"70205848 - 2019 - Overview of emerging amphibian pathogens and modeling advances for conservation-related decisions","interactions":[],"lastModifiedDate":"2019-10-08T12:56:59","indexId":"70205848","displayToPublicDate":"2019-08-01T12:56:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Overview of emerging amphibian pathogens and modeling advances for conservation-related decisions","docAbstract":"One of the leading causes of global amphibian decline is emerging infectious disease. We summarize the disease ecology of four major emerging amphibian infectious agents: chytrids, ranaviruses, trematodes, and Perkinsea. We focus on recently developed quantitative advances that build on well-established ecological theories and aid in studying epizootic and enzootic disease dynamics. For example, we identify ecological and evolutionary selective forces that determine disease outcomes and transmission pathways by borrowing ideas from population and community ecology theory. We outline three topics of general interest in disease ecology: (i) the relationship between biodiversity and disease risk, (ii) individual, species, or environmental transmission heterogeneity, and (iii) pathogen coinfections. Finally, we identify specific knowledge gaps impeding the success of conservation-related decisions for disease mitigation and the future of amphibian conservation success.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.05.034","usgsCitation":"Campbell Grant, E.H., and G, D., 2019, Overview of emerging amphibian pathogens and modeling advances for conservation-related decisions: Biological Conservation, v. 236, p. 474-484, https://doi.org/10.1016/j.biocon.2019.05.034.","productDescription":"11 p.","startPage":"474","endPage":"484","ipdsId":"IP-105941","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467398,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2019.05.034","text":"Publisher Index Page"},{"id":368103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"236","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":772604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"G, Direnzo","contributorId":219581,"corporation":false,"usgs":false,"family":"G","given":"Direnzo","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":772605,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203790,"text":"sir20195056 - 2019 - Documentation of a Soil-Water-Balance Model to estimate recharge to Blue Ridge, Piedmont, and Mesozoic Basin fractured-rock aquifers, Fauquier County, Virginia, 1996 through 2015","interactions":[],"lastModifiedDate":"2019-08-02T06:54:54","indexId":"sir20195056","displayToPublicDate":"2019-08-01T12:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5056","displayTitle":"Documentation of a Soil-Water-Balance Model to Estimate Recharge to Blue Ridge, Piedmont, and Mesozoic Basin Fractured-Rock Aquifers, Fauquier County, Virginia, 1996 through 2015","title":"Documentation of a Soil-Water-Balance Model to estimate recharge to Blue Ridge, Piedmont, and Mesozoic Basin fractured-rock aquifers, Fauquier County, Virginia, 1996 through 2015","docAbstract":"<p>This report documents a Soil-Water-Balance (SWB) model that was developed for an area covering the Blue Ridge, Piedmont, and Mesozoic basin fractured-rock aquifers in Fauquier County, Virginia, for the calendar years 1996–2015. The SWB model includes an area of 1,498 square miles, divided into 1,076-square-foot (100-square-meter) grid cells on which daily groundwater recharge was estimated using existing elevation, meteorological, land-use, and soil property datasets.</p><p>Daily groundwater recharge estimates obtained from the model were summarized annually, and annual model output was compared to the results of the hydrograph separation method, PART, on streamflow data from two streamgages in Fauquier County with periods of continuous record overlapping those of the SWB model period (01643700 Goose Creek near Middleburg, Virginia, and 01656000 Cedar Run near Catlett, Virginia). Spatially distributed groundwater recharge results from the SWB model represent annual conditions and the 20-year average values for the years 1996–2015, including estimated recharge during a previously defined drought in 2001. The 20-year average recharge in Fauquier County from the SWB model ranged from 8.1 inches per year (in/yr) in Blue Ridge aquifers to 5.3 in/yr in Mesozoic basin aquifers. Although mean annual precipitation volumes vary slightly across the County, the contrast in recharge among the Blue Ridge and western Piedmont aquifers with that of the Mesozoic basin aquifers is largely a result of differences in soil infiltration capacity. Precipitation totals 20 percent below mean annual precipitation from 1996–2015 produced drought recharge rates that were less than 50 percent of mean annual recharge.</p><p>The SWB model and model output, including spatially distributed annual estimates of groundwater recharge, evapotranspiration, and gross precipitation for the 1996 through 2015 model period, are publicly available as a U.S. Geological Survey data release.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195056","collaboration":"Prepared in cooperation with the Fauquier County Department of Community Development","usgsCitation":" McCoy, K.J., and Ladd, D.E., 2019, Documentation of a Soil-Water-Balance model to estimate recharge to Blue Ridge, Piedmont, and Mesozoic Basin fractured-rock aquifers, Fauquier County, Virginia, 1996 through 2015: U.S. Geological Survey Scientific Investigations Report 2019–5056, 22 p., https://doi.org/10.3133/sir20195056.  ","productDescription":"Report: v, 22 p.; Data Release","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-098765","costCenters":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":437375,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K35SZW","text":"USGS data release","linkHelpText":"Soil-Water-Balance model data sets for Fauquier County, Virginia, 1996 - 2015"},{"id":366048,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5056/coverthb.jpg"},{"id":366049,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5056/sir20195056.pdf","text":"Report","size":"5.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5056"},{"id":366050,"rank":3,"type":{"id":30,"text":"Data Release"},"url":" https://doi.org/10.5066/F7K35SZW","text":"USGS data release","description":"USGS data release"}],"country":"United States","state":"Virginia","county":"Fauquier County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-77.9612,39.0154],[-77.6568,38.9437],[-77.6617,38.937],[-77.6674,38.9203],[-77.6787,38.8978],[-77.6875,38.8752],[-77.7032,38.8868],[-77.7041,38.8718],[-77.7169,38.8562],[-77.7164,38.8285],[-77.6594,38.7483],[-77.6247,38.6979],[-77.5599,38.6036],[-77.5378,38.5715],[-77.534,38.5606],[-77.5271,38.5546],[-77.5602,38.5283],[-77.5722,38.5195],[-77.5842,38.5088],[-77.6174,38.4753],[-77.6289,38.4627],[-77.6314,38.4583],[-77.6299,38.4492],[-77.6335,38.4433],[-77.629,38.4383],[-77.6311,38.4243],[-77.6342,38.4189],[-77.6338,38.4089],[-77.642,38.4099],[-77.653,38.416],[-77.6682,38.4198],[-77.6792,38.425],[-77.6892,38.4256],[-77.6945,38.4252],[-77.704,38.4213],[-77.7111,38.4209],[-77.7158,38.421],[-77.7205,38.4192],[-77.7235,38.417],[-77.7277,38.4134],[-77.7307,38.4121],[-77.7342,38.4126],[-77.7365,38.4149],[-77.7392,38.4218],[-77.7415,38.425],[-77.7491,38.4282],[-77.7549,38.4315],[-77.7589,38.4366],[-77.7617,38.4429],[-77.7627,38.4497],[-77.7619,38.4565],[-77.7624,38.4593],[-77.7659,38.4607],[-77.7712,38.4621],[-77.7752,38.4658],[-77.7763,38.4681],[-77.775,38.4744],[-77.7802,38.4804],[-77.7824,38.4867],[-77.7864,38.4891],[-77.7893,38.4909],[-77.7927,38.4973],[-77.8002,38.5042],[-77.8018,38.512],[-77.8069,38.5184],[-77.8103,38.5238],[-77.8132,38.5289],[-77.8196,38.5312],[-77.8213,38.5326],[-77.8265,38.5377],[-77.8341,38.5382],[-77.8364,38.5396],[-77.8439,38.5474],[-77.8473,38.552],[-77.8508,38.5561],[-77.8583,38.5617],[-77.8612,38.5653],[-77.8634,38.5699],[-77.8645,38.5749],[-77.8674,38.5781],[-77.872,38.5818],[-77.8737,38.5854],[-77.8742,38.59],[-77.8711,38.594],[-77.8664,38.5953],[-77.864,38.598],[-77.8651,38.6007],[-77.8691,38.6044],[-77.8714,38.6085],[-77.8701,38.6121],[-77.8612,38.6161],[-77.8588,38.6188],[-77.8599,38.6206],[-77.8669,38.6239],[-77.8698,38.628],[-77.8703,38.6316],[-77.8767,38.6331],[-77.8767,38.6362],[-77.8754,38.6394],[-77.873,38.6439],[-77.8705,38.6498],[-77.8751,38.6553],[-77.8802,38.6621],[-77.8813,38.6653],[-77.8854,38.6667],[-77.8914,38.6632],[-77.8961,38.6632],[-77.9007,38.6669],[-77.9036,38.6706],[-77.9023,38.6751],[-77.8975,38.6787],[-77.898,38.6832],[-77.9033,38.6869],[-77.9055,38.6919],[-77.9083,38.6969],[-77.9136,38.6993],[-77.9248,38.6999],[-77.9307,38.699],[-77.9449,38.697],[-77.9602,38.6994],[-77.9655,38.6999],[-77.9707,38.7023],[-77.976,38.7046],[-77.9812,38.7069],[-77.9865,38.7093],[-77.9918,38.7116],[-77.9952,38.7144],[-77.9999,38.7176],[-78.0045,38.7213],[-78.0085,38.7295],[-78.0142,38.7382],[-78.0171,38.7418],[-78.0158,38.7459],[-78.0163,38.7504],[-78.0198,38.7541],[-78.0251,38.7551],[-78.0273,38.7614],[-78.0261,38.7659],[-78.0254,38.77],[-78.0241,38.7745],[-78.0211,38.7786],[-78.024,38.7822],[-78.0292,38.7859],[-78.0297,38.7905],[-78.0284,38.7963],[-78.0313,38.7991],[-78.0402,38.7978],[-78.0449,38.8002],[-78.0496,38.8007],[-78.0518,38.8057],[-78.074,38.8209],[-78.0974,38.8293],[-78.1043,38.8403],[-78.1166,38.8472],[-78.1223,38.8563],[-78.1317,38.8633],[-78.1268,38.8718],[-78.117,38.8862],[-78.1141,38.8871],[-78.1118,38.8821],[-78.1083,38.8793],[-78.1024,38.8801],[-78.0934,38.8855],[-78.0875,38.8863],[-78.0787,38.8821],[-78.0763,38.8821],[-78.0692,38.8866],[-78.0596,38.8887],[-78.0578,38.8901],[-78.0578,38.8928],[-78.0619,38.896],[-78.0641,38.9015],[-78.074,38.9088],[-78.074,38.9115],[-78.0672,38.9233],[-78.0641,38.9318],[-78.0617,38.9336],[-78.0504,38.9367],[-78.0379,38.9415],[-78.0336,38.9505],[-78.0233,38.959],[-78.0172,38.9703],[-78.01,38.9765],[-78.0045,38.9819],[-77.9882,38.9994],[-77.969,39.01],[-77.9612,39.0154]]]},\"properties\":{\"name\":\"Fauquier\",\"state\":\"VA\"}}]}","contact":"<p><a href=\"mailto:dc_va@usgs.gov\" data-mce-href=\"mailto:dc_va@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/va-wv-water\" data-mce-href=\"https://www.usgs.gov/centers/va-wv-water\"> Virginia and West Virginia Water Science Center</a><br>U.S. Geological Survey<br>1730 East Parham Road<br>Richmond, VA 23228</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Recharge Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2019-08-01","noUsgsAuthors":false,"publicationDate":"2019-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"McCoy, Kurt J. 0000-0002-9756-8238","orcid":"https://orcid.org/0000-0002-9756-8238","contributorId":216196,"corporation":false,"usgs":true,"family":"McCoy","given":"Kurt J.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ladd, David E. 0000-0002-9247-7839","orcid":"https://orcid.org/0000-0002-9247-7839","contributorId":216197,"corporation":false,"usgs":true,"family":"Ladd","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764138,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223410,"text":"70223410 - 2019 - Barred Owls reduce occupancy and breeding propensity of Northern Spotted Owl in a Washington old-growth forest","interactions":[],"lastModifiedDate":"2021-08-27T13:17:03.411053","indexId":"70223410","displayToPublicDate":"2019-08-01T11:04:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Barred Owls reduce occupancy and breeding propensity of Northern Spotted Owl in a Washington old-growth forest","docAbstract":"<p><span>Protected lands like national parks are important refuges for threatened and endangered species as environmental pressures on wildlife and their habitats increase. The Northern Spotted Owl (</span><i>Strix occidentalis caurina</i><span>), a species designated as threatened under the Endangered Species Act, occurs on public lands throughout the western United States including Mount Rainier National Park (MRNP), Washington. With virtually no history of timber harvest or large forest disturbance within MRNP boundaries since the park’s creation in 1899, MRNP provides an ideal place to evaluate potential impacts of climate change and invasive Barred Owls (</span><i>Strix varia</i><span>) on the Northern Spotted Owl. We used a multi-state, multi-season occupancy model to investigate how Northern Spotted Owl occupancy dynamics and breeding propensity are related to the presence of Barred Owls, local and regional weather, and habitat characteristics at MRNP from 1997 to 2016. Historical occupancy of Northern Spotted Owl breeding territories in MRNP has declined by 50% in the last 20 yr, and territory occupancy by breeding Northern Spotted Owls also decreased, reaching a low of 25% in 2016. Occupancy rates were higher on territories with steeper terrain and breeding rates were lower when Barred Owls were detected within historical territories. Our results also indicated that breeding propensity was higher when early nesting season temperatures during March and April were higher. In addition, the ability to detect breeding Northern Spotted Owls decreased when Barred Owls were present in the territory. Habitat variables from LiDAR were not correlated with Northern Spotted Owl occupancy dynamics, likely reflecting the dominance of old-growth forest in this protected park. This study illustrates the strong relationship between Barred Owls and Northern Spotted Owl demographics and breeding site selection in a landscape where habitat loss by timber harvest and fire has not occurred.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/condor/duz031","usgsCitation":"Mangan, A.O., Chestnut, T., Vogeler, J.C., Breckheimer, I.K., King, W.M., Bagnall, K.E., and Dugger, K., 2019, Barred Owls reduce occupancy and breeding propensity of Northern Spotted Owl in a Washington old-growth forest: Ornithological Applications, v. 121, no. 3, duz031, 20 p., https://doi.org/10.1093/condor/duz031.","productDescription":"duz031, 20 p.","ipdsId":"IP-102940","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":388548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount Ranier National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -482.0938110351562,\n              46.590956573124544\n            ],\n            [\n              -481.5032958984375,\n              46.590956573124544\n            ],\n            [\n              -481.5032958984375,\n              47.09069560264967\n            ],\n            [\n              -482.0938110351562,\n              47.09069560264967\n            ],\n            [\n              -482.0938110351562,\n              46.590956573124544\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"121","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Mangan, Anna O.","contributorId":264791,"corporation":false,"usgs":false,"family":"Mangan","given":"Anna","email":"","middleInitial":"O.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":821986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chestnut, Tara","contributorId":264792,"corporation":false,"usgs":false,"family":"Chestnut","given":"Tara","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":821987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vogeler, Jody C.","contributorId":264796,"corporation":false,"usgs":false,"family":"Vogeler","given":"Jody","email":"","middleInitial":"C.","affiliations":[{"id":54555,"text":"umn","active":true,"usgs":false}],"preferred":false,"id":821988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breckheimer, Ian K.","contributorId":264797,"corporation":false,"usgs":false,"family":"Breckheimer","given":"Ian","email":"","middleInitial":"K.","affiliations":[{"id":54558,"text":"hu","active":true,"usgs":false}],"preferred":false,"id":821989,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Wendy M.","contributorId":264798,"corporation":false,"usgs":false,"family":"King","given":"Wendy","email":"","middleInitial":"M.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":821990,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bagnall, Keith E.","contributorId":264799,"corporation":false,"usgs":false,"family":"Bagnall","given":"Keith","email":"","middleInitial":"E.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":821991,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":821985,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70223689,"text":"70223689 - 2019 - Magmatic-hydrothermal gold mineralization at the Lone Tree Mine, Battle Mountain district, Nevada","interactions":[],"lastModifiedDate":"2021-09-01T14:45:20.201078","indexId":"70223689","displayToPublicDate":"2019-08-01T09:40:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Magmatic-hydrothermal gold mineralization at the Lone Tree Mine, Battle Mountain district, Nevada","docAbstract":"<p>The Lone Tree deposit is located in the northern Battle Mountain mining district, Nevada. Prior to mine closure in 2006, Santa Fe Pacific Gold and Newmont produced 4.2 Moz of gold at an average grade of 2.06 g/t at Lone Tree, primarily from the N-S– to NNW-SSE–striking Wayne zone. The ore is located between the Roberts Mountain and Golconda thrusts in siliciclastic rocks of the Ordovician Valmy Formation and in the Pennsylvanian-Permian Battle Mountain and Edna Mountain Formations, and above the Golconda thrust in siliciclastic and carbonate rocks of the Mississippian to Permian Havallah sequence. Ore is also hosted by rhyolitic dikes that were emplaced at 40.95 ± 0.06 Ma based on zircon U-Pb chemical abrasion-thermal ionization mass spectrometry.</p><p>The gold is associated with sericitic and argillic alteration of the siliciclastic rocks and dikes and with decarbonatization and Fe carbonate alteration of the carbonate-bearing units, as well as in Fe-As sulfide and finegrained quartz alteration of all rock types. Oxidation affects 30 to 45% of the deposit, penetrating into the stratigraphy along numerous steeply dipping north-south, east-west, and north-northeast–south-southwest structures. Gold is positively correlated with Ag, As, Hg, and Sb. The highest Au grades occur in quartz-sulfide ore hosted in siliciclastic and carbonate sedimentary rocks and rhyolitic intrusions. In this ore style, fine-grained quartz and sericite are intergrown with disseminated sulfide minerals (quartz-sericite-pyrite alteration), constituting cores of weakly mineralized pyrite or marcasite, which are surrounded by fuzzy arsenopyrite rims that contain up to ~2,000 ppm Au. Low gold grades occur in late-stage banded pyrite breccias consisting of a finely zoned Au-poor pyrite matrix surrounding jigsaw-fit clasts of quartz-, illite-, barite-, and adularia-altered siliciclastic rock. The timing of main-stage mineralization is bracketed between the emplacement of the dikes and an adularia<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar age of 40.14 ± 0.74 Ma.</p><p>Sericite intergrown with arsenopyrite-rimmed pyrite in phenocrysts of the rhyolite dikes gave<span>&nbsp;</span><i>δ</i><sup>18</sup>O values of 1.6 to 9.5‰ and<span>&nbsp;</span><i>δ</i>D values of –105 to –145‰. For temperatures of 300 ± 100°C, the calculated fluid isotopic compositions are consistent with felsic magmatic water and minor modifications by mixing with meteoric water and exchange with wall rocks. In the silica-sulfide ore, in situ isotopic laser ablation-multicollector-inductively coupled plasma-mass spectrometry (LA-MC-ICP-MS) analyses of pyrite cores yielded<span>&nbsp;</span><i>δ</i><sup>34</sup>S values ranging from 3.4 to 7.7‰, with average values of 5.6‰ in the felsic dikes, 4.5‰ in the siliciclastic rocks, and 5.3‰ in the carbonate rocks. These values match conventional pyrite<span>&nbsp;</span><i>δ</i><sup>34</sup>S data reported for Eocene porphyry systems elsewhere in the district. Nanoscale secondary ion mass spectrometry analyses show that gold and associated trace elements occur in submicron-scale zones within arsenopyrite rims on pyrite. The average<span>&nbsp;</span><i>δ</i><sup>34</sup>S values of the arsenopyrite rims are 5.3 to 6.5‰ heavier than the pyrite cores, indicating cooling and an increasing H<sub>2</sub>S/SO<sub>2</sub><span>&nbsp;</span>ratio. The highest grades resulted from episodic pulses of a gold-rich fluid that was partly derived from, or exchanged with, the sedimentary host rocks. In situ LA-MC-ICP-MS<span>&nbsp;</span><i>δ</i><sup>34</sup>S values for the late-stage banded pyrite breccia become progressively lighter from veinlet margin to center, reaching a low of –32‰. These veinlets indicate a shift from main-stage quartz-sericite-pyrite and intermediate argillic alteration to more neutral pH and oxidizing conditions during late-stage mineralization, indicating either increasing interaction between the fluid and sedimentary sulfur sources in the host-rock package or bacterial sulfate reduction and supergene sulfide precipitation.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.4665","usgsCitation":"Holley, E.A., Lowe, J., Johnson, C.A., and Pribil, M., 2019, Magmatic-hydrothermal gold mineralization at the Lone Tree Mine, Battle Mountain district, Nevada: Economic Geology, v. 114, no. 5, p. 811-856, https://doi.org/10.5382/econgeo.4665.","productDescription":"46 p.","startPage":"811","endPage":"856","ipdsId":"IP-104133","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":388732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Battle Mountain district, Lone Tree Mine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.003662109375,\n              38.272688535980976\n            ],\n            [\n              -114.202880859375,\n              38.272688535980976\n            ],\n            [\n              -114.202880859375,\n              41.99624282178583\n            ],\n            [\n              -120.003662109375,\n              41.99624282178583\n            ],\n            [\n              -120.003662109375,\n              38.272688535980976\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"114","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Holley, Elizabeth A. 0000-0003-2504-4555","orcid":"https://orcid.org/0000-0003-2504-4555","contributorId":265154,"corporation":false,"usgs":false,"family":"Holley","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":822332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowe, Justin","contributorId":265155,"corporation":false,"usgs":false,"family":"Lowe","given":"Justin","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":822333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":822334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":822335,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70236154,"text":"70236154 - 2019 - Hydroclimatology of the Mississippi River Basin","interactions":[],"lastModifiedDate":"2022-08-30T14:18:05.915762","indexId":"70236154","displayToPublicDate":"2019-08-01T09:11:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Hydroclimatology of the Mississippi River Basin","docAbstract":"<p>Model estimated monthly water balance (WB) components (i.e., potential evapotranspiration, actual evapotranspiration, and runoff [<i>R</i>]) for 848 United States (U.S.) Geological Survey 8-digit hydrologic units located in the Mississippi River Basin (MRB) are used to examine the temporal and spatial variability of the MRB WB for water years 1901 through 2014. Results indicate the MRB can be divided into nine subregions with similar temporal variability in<span>&nbsp;</span><i>R</i>. The WB analyses indicated ~79% of total water-year MRB runoff is generated by four of the nine subregions and most of the<span>&nbsp;</span><i>R</i><span>&nbsp;</span>in the basin is derived from surplus (<i>S</i>) water during the months of December through May. Furthermore, the analyses showed temporal variability in<span>&nbsp;</span><i>S</i><span>&nbsp;</span>is largely controlled by the occurrence of negative atmospheric pressure anomalies over the western U.S. and positive atmospheric pressure anomalies over the eastern U.S. coast. This combination of atmospheric pressure anomalies results in an anomalous flow of moist air from the Gulf of Mexico into the MRB. In the context of paleo-climate reconstructions of the Palmer Drought Severity Index, since about 1900 the MRB has experienced wetter conditions than were experienced during the previous 500&nbsp;years.</p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12749","usgsCitation":"McCabe, G.J., and Wolock, D.M., 2019, Hydroclimatology of the Mississippi River Basin: Journal of the American Water Resources Association, v. 55, no. 4, p. 1053-1064, https://doi.org/10.1111/1752-1688.12749.","productDescription":"12 p.","startPage":"1053","endPage":"1064","ipdsId":"IP-101403","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467399,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1752-1688.12749","text":"External Repository"},{"id":405907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.5986328125,\n              48.8936153614802\n            ],\n            [\n              -112.939453125,\n              47.96050238891509\n            ],\n            [\n              -112.67578124999999,\n              47.30903424774781\n            ],\n            [\n              -111.357421875,\n              46.195042108660154\n            ],\n            [\n              -112.3681640625,\n              45.61403741135093\n            ],\n            [\n              -111.357421875,\n              44.715513732021336\n            ],\n            [\n              -109.5556640625,\n              44.809121700077355\n            ],\n            [\n              -109.423828125,\n              44.02442151965934\n            ],\n            [\n              -109.0283203125,\n              43.61221676817573\n            ],\n            [\n              -107.7978515625,\n              42.779275360241904\n            ],\n            [\n              -106.2158203125,\n              41.57436130598913\n            ],\n            [\n              -105.4248046875,\n              40.3130432088809\n            ],\n            [\n              -105.29296874999999,\n              38.89103282648846\n            ],\n            [\n              -105.5126953125,\n              37.82280243352756\n            ],\n            [\n              -105.29296874999999,\n              36.06686213257888\n            ],\n            [\n              -104.80957031249999,\n              34.84987503195418\n            ],\n            [\n              -102.7001953125,\n              34.34343606848294\n            ],\n            [\n              -99.404296875,\n              34.08906131584994\n            ],\n            [\n              -97.1630859375,\n              33.43144133557529\n            ],\n            [\n              -94.7021484375,\n              32.21280106801518\n            ],\n            [\n              -94.04296874999999,\n              29.49698759653577\n            ],\n            [\n              -89.82421875,\n              28.76765910569123\n            ],\n            [\n              -89.6484375,\n              31.015278981711266\n            ],\n            [\n              -90.615234375,\n              32.62087018318113\n            ],\n            [\n              -90.263671875,\n              34.379712580462204\n            ],\n            [\n              -88.06640625,\n              34.92197103616377\n            ],\n            [\n              -84.7705078125,\n              34.994003757575776\n            ],\n            [\n              -82.44140625,\n              36.24427318493909\n            ],\n            [\n              -80.9912109375,\n              37.37015718405753\n            ],\n            [\n              -79.0576171875,\n              38.993572058209466\n            ],\n            [\n              -78.79394531249999,\n              42.84375132629021\n            ],\n            [\n              -82.0458984375,\n              41.57436130598913\n            ],\n            [\n              -84.90234375,\n              40.78054143186033\n            ],\n            [\n              -87.099609375,\n              41.86956082699455\n            ],\n            [\n              -87.890625,\n              42.779275360241904\n            ],\n            [\n              -89.8681640625,\n              43.866218006556394\n            ],\n            [\n              -90.087890625,\n              45.089035564831036\n            ],\n            [\n              -89.82421875,\n              46.34692761055676\n            ],\n            [\n              -90.791015625,\n              47.100044694025215\n            ],\n            [\n              -94.6142578125,\n              47.69497434186282\n            ],\n            [\n              -96.767578125,\n              46.255846818480315\n            ],\n            [\n              -99.6240234375,\n              47.517200697839414\n            ],\n            [\n              -100.37109375,\n              49.009050809382046\n            ],\n            [\n              -113.5986328125,\n              48.8936153614802\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":850265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":219213,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":850266,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70238061,"text":"70238061 - 2019 - Simulations of hydrology and water quality for irrigated fields near Yakima, Washington","interactions":[],"lastModifiedDate":"2022-11-09T14:53:52.300317","indexId":"70238061","displayToPublicDate":"2019-08-01T08:47:40","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Simulations of hydrology and water quality for irrigated fields near Yakima, Washington","docAbstract":"Reliable tools are needed by farmers and managers to estimate and mitigate impacts of altered hydrology and degraded water quality downstream of agricultural areas. The Water, Energy, and Biogeochemical Model (WEBMOD) (Webb and Parkhurst 2017) was used to simulate daily variations of hydrology and water quality for 5 square kilometers of irrigated fields draining to the DR2 Drain, southeast of Yakima, WA.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Working watersheds and coastal systems: Research and management for a changing future — Proceedings of the Sixth Interagency Conference on Research in the Watersheds","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Sixth Interagency Conference on Research in the Watersheds","conferenceDate":"July 23-26, 2018","conferenceLocation":"Shepherdstown, WV","language":"English","publisher":"U.S. Department of Agriculture Forest Service, Southern Research Station","collaboration":"EPA, USFS","usgsCitation":"Webb, R.M., 2019, Simulations of hydrology and water quality for irrigated fields near Yakima, Washington, <i>in</i> Working watersheds and coastal systems: Research and management for a changing future — Proceedings of the Sixth Interagency Conference on Research in the Watersheds, Shepherdstown, WV, July 23-26, 2018, p. 202-205.","productDescription":"4 p.","startPage":"202","endPage":"205","ipdsId":"IP-100453","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":409260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":409218,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/59031"}],"country":"United States","state":"Washington","city":"Yakima","otherGeospatial":"Yakima River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.56886577450334,\n              46.633070609190895\n            ],\n            [\n              -120.56886577450334,\n              46.12956834060162\n            ],\n            [\n              -119.41838691883319,\n              46.12956834060162\n            ],\n            [\n              -119.41838691883319,\n              46.633070609190895\n            ],\n            [\n              -120.56886577450334,\n              46.633070609190895\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Webb, Richard M. 0000-0001-9531-2207 rmwebb@usgs.gov","orcid":"https://orcid.org/0000-0001-9531-2207","contributorId":1570,"corporation":false,"usgs":true,"family":"Webb","given":"Richard","email":"rmwebb@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":856734,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70205781,"text":"70205781 - 2019 - Phylogeny and foraging mode correspond with thiaminase activity in freshwater fishes: Potential links to environmental factors","interactions":[],"lastModifiedDate":"2019-10-04T08:33:42","indexId":"70205781","displayToPublicDate":"2019-08-01T07:59:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Phylogeny and foraging mode correspond with thiaminase activity in freshwater fishes: Potential links to environmental factors","docAbstract":"Knowledge of the dietary components of fish species is important for understanding their growth, survival, and recruitment. Deficiency in thiamine (vitamin B1) leading to reproductive failure and physiological illness among freshwater fishes has been attributed to thiaminase activity in fish in the Great Lakes and the New York Finger Lakes, but the causes of variation in thiaminase activity among freshwater fishes is unclear. We characterized thiaminase activity in 29 species of freshwater fishes across 7 ray-finned and 1 jawless family. All fish were further categorized by phylogeny, trophic category (trophic level and feeding mode), and native or non-native status to evaluate how ecological processes correspond with thiaminase activity. Thiaminase activity varied significantly across species, families, trophic factors, phylogenetic groups, and sites. Teleosts that were more recently derived had higher thiaminase activity than more basal species. Thiaminase activity was also higher among herbivores than omnivores or carnivores. This trend was clearest in the Cyprinidae family, which had the greatest range in thiaminase activity and a wide range in trophic-level position and trophic categories (herbivores, omnivores, and carnivores). Variation in average thiaminase activity of Spotfin Shiners (Cyprinella spiloptera) among sites within a watershed was correlated with anthropogenic and natural components of land cover. Our study contributes much-needed quantitative ecological information related to thiaminase activity in a suite of fish species that vary in evolutionary history, trophic level, and foraging modes. However, more studies are needed to identify interacting causes of thiaminase variation and examine the implications of these findings on the overall health of aquatic populations and freshwater ecosystems.","language":"English","publisher":"University of Chicago Press","doi":"10.1086/704927","usgsCitation":"Spooner, D., Boggs, K., Shull, D.R., Honeyfield, D.C., Wertz, T., and Sweet, S., 2019, Phylogeny and foraging mode correspond with thiaminase activity in freshwater fishes: Potential links to environmental factors: Freshwater Science, v. 3, no. 38, p. 605-615, https://doi.org/10.1086/704927.","productDescription":"11 p.","startPage":"605","endPage":"615","ipdsId":"IP-110044","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":367946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"38","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Spooner, Daniel E 0000-0002-5408-4364","orcid":"https://orcid.org/0000-0002-5408-4364","contributorId":219471,"corporation":false,"usgs":false,"family":"Spooner","given":"Daniel E","affiliations":[{"id":40002,"text":"Lock Haven University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":772321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boggs, Kristin","contributorId":219472,"corporation":false,"usgs":false,"family":"Boggs","given":"Kristin","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":772322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shull, Dustin R.","contributorId":147947,"corporation":false,"usgs":false,"family":"Shull","given":"Dustin","email":"","middleInitial":"R.","affiliations":[{"id":16963,"text":"PA DEP","active":true,"usgs":false}],"preferred":false,"id":772323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Honeyfield, Dale C. 0000-0003-3034-2047 honeyfie@usgs.gov","orcid":"https://orcid.org/0000-0003-3034-2047","contributorId":2774,"corporation":false,"usgs":true,"family":"Honeyfield","given":"Dale","email":"honeyfie@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":772324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wertz, Timothy","contributorId":66866,"corporation":false,"usgs":false,"family":"Wertz","given":"Timothy","affiliations":[{"id":17703,"text":"Pennsylvania Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":772325,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sweet, Stephanie","contributorId":219473,"corporation":false,"usgs":false,"family":"Sweet","given":"Stephanie","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":772326,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70233214,"text":"70233214 - 2019 - Cross-scale interactions dictate regional lake carbon flux and productivity response to future climate","interactions":[],"lastModifiedDate":"2022-07-19T12:20:55.547259","indexId":"70233214","displayToPublicDate":"2019-08-01T07:16:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Cross-scale interactions dictate regional lake carbon flux and productivity response to future climate","docAbstract":"<div class=\"article-section__content en main\"><p>Lakes support globally important food webs through algal productivity and contribute significantly to the global carbon cycle. However, predictions of how broad-scale lake carbon flux and productivity may respond to future climate are extremely limited. Here, we used an integrated modeling framework to project changes in lake-specific and regional primary productivity and carbon fluxes under 21st century climate for thousands of lakes. We observed high uncertainty in whether lakes collectively were to increase or decrease lake CO<sub>2</sub><span>&nbsp;</span>emissions and carbon burial in our modeled region owing to divergence in projected regional water balance among climate models. Variation in projected air temperature influenced projected changes in lake primary productivity (but not CO<sub>2</sub><span>&nbsp;</span>emissions or carbon burial) as warmer air temperatures decreased productivity through reduced lake water volume. Cross-scale interactions between regional drivers and local characteristics dictated the magnitude and direction of lake-specific carbon flux and productivity responses to future climate.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL083478","usgsCitation":"Zwart, J.A., Hanson, Z., Read, J., Fienen, M., Hamlet, A.F., Bolster, D., and Jones, S., 2019, Cross-scale interactions dictate regional lake carbon flux and productivity response to future climate: Geophysical Research Letters, v. 46, no. 15, p. 8840-8851, https://doi.org/10.1029/2019GL083478.","productDescription":"12 p.","startPage":"8840","endPage":"8851","ipdsId":"IP-104891","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":467402,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl083478","text":"Publisher Index Page"},{"id":437376,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S7EMTB","text":"USGS data release","linkHelpText":"Lake Biogeochemical Model Output for One Retrospective and 12 Future Climate Runs in Northern Wisconsin &amp; Michigan, USA"},{"id":404001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"15","noUsgsAuthors":false,"publicationDate":"2019-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":846818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Zachary J","contributorId":293235,"corporation":false,"usgs":false,"family":"Hanson","given":"Zachary J","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":846819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Read, Jordan 0000-0002-3888-6631","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":221385,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":846820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamlet, Alan F.","contributorId":266168,"corporation":false,"usgs":false,"family":"Hamlet","given":"Alan","email":"","middleInitial":"F.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":846822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bolster, Diogo","contributorId":266171,"corporation":false,"usgs":false,"family":"Bolster","given":"Diogo","email":"","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":846823,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Stuart E.","contributorId":22222,"corporation":false,"usgs":false,"family":"Jones","given":"Stuart E.","affiliations":[{"id":6966,"text":"Department of Biological Sciences, University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":846824,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70205670,"text":"70205670 - 2019 - Timescales of water-quality change in a karst aquifer, south-central Texas","interactions":[],"lastModifiedDate":"2021-04-02T14:41:48.358402","indexId":"70205670","displayToPublicDate":"2019-07-31T14:34:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5836,"text":"Journal of Hydrology X","onlineIssn":"2589-9155","active":true,"publicationSubtype":{"id":10}},"title":"Timescales of water-quality change in a karst aquifer, south-central Texas","docAbstract":"<p><span>Understanding the drivers and timescales over which groundwater quality changes informs groundwater management, use, and protection. To better understand timescales of water-quality change over short (daily to monthly) and long (seasonal to decadal) timescales, the U.S. Geological Survey’s National Water-Quality Assessment (NAWQA) Enhanced Trends Network (ETN) program instrumented and sampled three wells in the Edwards aquifer in south-central Texas. The wells were instrumented to provide high-frequency continuous (subhourly) water-quality data (temperature, pH, specific conductance, and dissolved oxygen), which were augmented by the collection of discrete samples (about 6 per year) for a range of geochemical constituents (including selected isotopes and age tracers). ETN data (2013–2017) are considered with data from additional sites for the same time period, and also historical records (over more than 80 years) of climatic and hydrologic conditions. During the four-year study, hydrologic conditions transitioned from very dry to very wet. Sites in the updip/unconfined part of the aquifer showed notable changes in water level and geochemistry (1) in response to rainfall/recharge events, and (2) over the multiyear dry/wet cycle. Sites in the downdip/confined part of the aquifer showed changes in water level/spring discharge over similar timescales, although the response is more muted. Geochemistry at the downdip/confined sites, however, varied slowly and minimally, indicating that the geochemical response of the deeper aquifer is decoupled from recent hydrologic responses. Changes at the updip/unconfined sites reflect mixing with recent recharge, whereas the downdip/confined sites were dominated by mineral-solution reactions resulting from longer (decadal) residence times. Mean groundwater ages interpreted from measured age tracers and lumped parameter models range from 7 to &gt;700 years (where mixed with premodern downdip water) but were mostly modern. The aquifer is characterized by updip-to-downdip trends in geochemistry with respect to water-rock interaction and groundwater age. Fourier spectral analysis of historical records indicate hydrologic variability has occurred at dominant periods of 30 and 15 years; in conjunction with age tracers, these results provide insight into timescales at which the aquifer’s public supply is vulnerable to changes in the water quality of recharge.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.hydroa.2019.100041","usgsCitation":"Musgrove, M., Solder, J.E., Opsahl, S.P., and Wilson, J.T., 2019, Timescales of water-quality change in a karst aquifer, south-central Texas: Journal of Hydrology X, v. 4, 100041, 16 p., https://doi.org/10.1016/j.hydroa.2019.100041.","productDescription":"100041, 16 p.","ipdsId":"IP-105452   ","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":467403,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hydroa.2019.100041","text":"Publisher Index Page"},{"id":437377,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9247J56","text":"USGS data release","linkHelpText":"Data for timescales of water-quality change in a karst aquifer, south-central Texas"},{"id":367845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367872,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/5c9ba747e4b0b8a7f62c2edd","text":"USGS data release","linkHelpText":"Data for timescales of water-quality change in a karst aquifer, south-central Texas"}],"country":"United States","state":"Texas","otherGeospatial":"Edwards Aquifer","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-97.240849,26.411504],[-97.276425,26.521729],[-97.31073,26.556558],[-97.345822,26.700589],[-97.370438,26.723896],[-97.368343,26.795649],[-97.387459,26.820789],[-97.390078,27.156512],[-97.359963,27.304732],[-97.361796,27.359988],[-97.317277,27.46369],[-97.236882,27.598293],[-97.231383,27.632336],[-97.214099,27.631551],[-97.200743,27.650144],[-97.203474,27.684533],[-97.103326,27.789068],[-97.098874,27.82285],[-97.134489,27.825206],[-97.056713,27.842294],[-96.985745,27.954048],[-96.967807,28.020041],[-96.952618,28.01644],[-96.906004,28.076147],[-96.886233,28.084396],[-96.879424,28.131402],[-96.84538,28.108881],[-96.83003,28.111842],[-96.81042,28.126034],[-96.816443,28.174808],[-96.791958,28.188687],[-96.703838,28.198246],[-96.702659,28.211208],[-96.662462,28.227314],[-96.651856,28.251275],[-96.592934,28.296972],[-96.450998,28.337039],[-96.403206,28.371475],[-96.397846,28.343513],[-96.4137,28.327343],[-96.547774,28.270798],[-96.694666,28.18212],[-96.849624,28.064939],[-96.966996,27.950531],[-97.166682,27.676583],[-97.30447,27.407734],[-97.350398,27.268105],[-97.370941,27.161166],[-97.37913,27.047996],[-97.370731,26.909706],[-97.333028,26.736479],[-97.194644,26.306513],[-97.154271,26.066841],[-97.169842,26.077853],[-97.194458,26.27164],[-97.240849,26.411504]]],[[[-94.886539,29.510724],[-94.894747,29.52697],[-94.87675,29.507922],[-94.886539,29.510724]]],[[[-97.868235,26.056656],[-97.88653,26.066339],[-97.967358,26.051718],[-97.981335,26.067182],[-98.028759,26.06647],[-98.039239,26.041275],[-98.070021,26.047992],[-98.084755,26.070808],[-98.091038,26.059169],[-98.105505,26.067537],[-98.146622,26.049412],[-98.177897,26.074672],[-98.197046,26.056153],[-98.220673,26.076467],[-98.248806,26.073101],[-98.264514,26.085507],[-98.277218,26.098802],[-98.265698,26.12037],[-98.296195,26.120321],[-98.302979,26.11005],[-98.323828,26.121249],[-98.336837,26.166432],[-98.354645,26.15304],[-98.386694,26.157872],[-98.404433,26.182564],[-98.442536,26.199151],[-98.450976,26.219904],[-98.496684,26.212853],[-98.543852,26.234492],[-98.576188,26.235221],[-98.599154,26.257612],[-98.669397,26.23632],[-98.681167,26.26271],[-98.745272,26.303096],[-98.755242,26.3251],[-98.789822,26.331575],[-98.807348,26.369421],[-98.890965,26.357569],[-98.921277,26.381426],[-98.950186,26.380303],[-98.967587,26.398266],[-99.008003,26.395459],[-99.032316,26.412082],[-99.082002,26.39651],[-99.110855,26.426278],[-99.091635,26.476977],[-99.127782,26.525199],[-99.166742,26.536079],[-99.178064,26.620547],[-99.209948,26.693938],[-99.208907,26.724761],[-99.240023,26.745851],[-99.242444,26.788262],[-99.268613,26.843213],[-99.295146,26.86544],[-99.316753,26.865831],[-99.3289,26.879761],[-99.324684,26.915973],[-99.379149,26.93449],[-99.393748,26.96073],[-99.377312,26.973819],[-99.415476,27.01724],[-99.42938,27.010833],[-99.446524,27.023008],[-99.452316,27.062669],[-99.429209,27.090982],[-99.442123,27.106839],[-99.426348,27.176262],[-99.441549,27.24992],[-99.463309,27.268437],[-99.492407,27.264118],[-99.494604,27.303542],[-99.536443,27.312538],[-99.504837,27.338289],[-99.487521,27.412396],[-99.495104,27.451518],[-99.480419,27.481596],[-99.497519,27.500496],[-99.52582,27.496696],[-99.515978,27.572131],[-99.55495,27.614454],[-99.580006,27.602251],[-99.578099,27.619196],[-99.594038,27.638573],[-99.638929,27.626758],[-99.665948,27.635968],[-99.668942,27.659974],[-99.711511,27.658365],[-99.77074,27.732134],[-99.796342,27.735586],[-99.813086,27.773952],[-99.835127,27.762881],[-99.850877,27.793974],[-99.877677,27.799427],[-99.876003,27.837968],[-99.904385,27.875284],[-99.895828,27.904178],[-99.937142,27.940537],[-99.931812,27.980967],[-99.991447,27.99456],[-100.017914,28.064787],[-100.053123,28.08473],[-100.083393,28.144035],[-100.208059,28.190383],[-100.22363,28.235224],[-100.2462,28.234092],[-100.289384,28.273491],[-100.286471,28.312296],[-100.341869,28.384953],[-100.349586,28.402604],[-100.337797,28.44296],[-100.368288,28.477196],[-100.333814,28.499252],[-100.38886,28.515748],[-100.411414,28.551899],[-100.398385,28.584884],[-100.44732,28.609325],[-100.445529,28.637144],[-100.495863,28.658569],[-100.510055,28.690723],[-100.507613,28.740599],[-100.533017,28.76328],[-100.53583,28.805888],[-100.547324,28.825817],[-100.57051,28.826317],[-100.602054,28.901944],[-100.640568,28.914212],[-100.651512,28.943432],[-100.645894,28.986421],[-100.674656,29.099777],[-100.772649,29.168492],[-100.767059,29.195287],[-100.785521,29.228137],[-100.795681,29.22773],[-100.797671,29.246943],[-100.876049,29.279585],[-100.886842,29.307848],[-100.948972,29.347246],[-101.004207,29.364772],[-101.060151,29.458661],[-101.151877,29.477005],[-101.173821,29.514566],[-101.254895,29.520342],[-101.242023,29.592512],[-101.259127,29.607284],[-101.307332,29.587847],[-101.311219,29.648491],[-101.361756,29.657821],[-101.415402,29.756561],[-101.441059,29.753451],[-101.475269,29.780663],[-101.522695,29.759671],[-101.546797,29.796991],[-101.582562,29.771334],[-101.625958,29.771063],[-101.646418,29.754304],[-101.662453,29.77128],[-101.706636,29.762737],[-101.852604,29.801895],[-101.922585,29.790161],[-101.974548,29.810276],[-101.987539,29.801057],[-102.034759,29.804028],[-102.050044,29.78507],[-102.115682,29.79239],[-102.159601,29.814356],[-102.181894,29.846034],[-102.227553,29.843534],[-102.315389,29.87992],[-102.364542,29.845387],[-102.386678,29.76688],[-102.508313,29.783219],[-102.513381,29.76576],[-102.539417,29.751629],[-102.559343,29.760377],[-102.630151,29.734315],[-102.670971,29.741954],[-102.698347,29.695591],[-102.693466,29.676507],[-102.742031,29.632142],[-102.739991,29.599041],[-102.768341,29.594734],[-102.771429,29.548546],[-102.808692,29.522319],[-102.807327,29.494009],[-102.832539,29.433109],[-102.824564,29.399558],[-102.843021,29.357988],[-102.879534,29.353327],[-102.888328,29.291947],[-102.906296,29.260011],[-102.871347,29.241625],[-102.866846,29.225015],[-102.890064,29.208814],[-102.915866,29.215878],[-102.917805,29.190697],[-102.944911,29.18882],[-102.953475,29.176308],[-102.989432,29.183174],[-103.015028,29.12577],[-103.035683,29.103029],[-103.074407,29.088534],[-103.100266,29.0577],[-103.113922,28.988547],[-103.156646,28.972831],[-103.227801,28.991532],[-103.239109,28.981651],[-103.260308,28.989731],[-103.28119,28.982138],[-103.341463,29.041224],[-103.355428,29.021529],[-103.427754,29.042334],[-103.471265,29.073115],[-103.503236,29.11911],[-103.524613,29.120998],[-103.523384,29.133389],[-103.558679,29.154962],[-103.645635,29.159286],[-103.71377,29.185008],[-103.816642,29.270927],[-103.975235,29.296017],[-104.038282,29.320156],[-104.106467,29.373127],[-104.166563,29.399352],[-104.233487,29.492734],[-104.318074,29.527938],[-104.334811,29.519463],[-104.381041,29.543406],[-104.399591,29.572319],[-104.507568,29.639624],[-104.539761,29.676074],[-104.565688,29.770462],[-104.679772,29.924659],[-104.679661,29.975272],[-104.706874,30.050685],[-104.685003,30.085643],[-104.695366,30.13213],[-104.687296,30.179464],[-104.713166,30.237957],[-104.733822,30.261221],[-104.749664,30.26126],[-104.761634,30.301148],[-104.809794,30.334926],[-104.824314,30.370466],[-104.859521,30.390413],[-104.85242,30.418792],[-104.876787,30.511004],[-104.924796,30.604832],[-104.967167,30.608107],[-105.002057,30.680972],[-105.062334,30.686303],[-105.113816,30.746001],[-105.152362,30.751452],[-105.195144,30.792138],[-105.255416,30.797029],[-105.287238,30.822206],[-105.314863,30.816961],[-105.360672,30.847384],[-105.394242,30.852979],[-105.399609,30.888941],[-105.533088,30.984859],[-105.55743,30.990229],[-105.60333,31.082625],[-105.64189,31.098322],[-105.646731,31.113908],[-105.709491,31.136375],[-105.742678,31.164897],[-105.773257,31.166897],[-105.779725,31.191283],[-105.869353,31.288634],[-105.938452,31.318735],[-105.953943,31.364749],[-106.004926,31.392458],[-106.080258,31.398702],[-106.203969,31.465378],[-106.246203,31.541153],[-106.280811,31.562062],[-106.303536,31.620413],[-106.378039,31.72831],[-106.451541,31.764808],[-106.484642,31.747809],[-106.542097,31.802146],[-106.602727,31.825024],[-106.605845,31.846305],[-106.635926,31.866235],[-106.629197,31.883717],[-106.645296,31.894859],[-106.614346,31.918003],[-106.623933,31.925335],[-106.614702,31.956],[-106.622819,31.952891],[-106.618745,31.966955],[-106.638186,31.97682],[-106.618486,32.000495],[-103.064423,32.000518],[-103.064625,32.999899],[-103.043531,34.018014],[-103.041924,36.500439],[-100.003762,36.499699],[-100.000381,34.560509],[-99.929334,34.576714],[-99.825325,34.497596],[-99.754248,34.421289],[-99.696462,34.381036],[-99.665992,34.374185],[-99.600026,34.374688],[-99.569696,34.418418],[-99.499875,34.409608],[-99.430995,34.373414],[-99.399603,34.375079],[-99.394956,34.442099],[-99.381011,34.456936],[-99.358795,34.455863],[-99.318363,34.408296],[-99.289922,34.414731],[-99.264167,34.405149],[-99.25898,34.391243],[-99.273958,34.38756],[-99.242945,34.372668],[-99.233274,34.344101],[-99.210716,34.336304],[-99.211648,34.292232],[-99.19457,34.272424],[-99.189511,34.214312],[-99.159016,34.20888],[-99.130609,34.219408],[-99.126567,34.203004],[-99.079535,34.211518],[-99.048792,34.198209],[-99.013075,34.203222],[-98.990852,34.221633],[-98.974132,34.203566],[-98.952513,34.21265],[-98.909349,34.177499],[-98.872922,34.166584],[-98.868116,34.149635],[-98.8579,34.159627],[-98.812954,34.158444],[-98.749291,34.124238],[-98.735471,34.135208],[-98.696518,34.133521],[-98.648073,34.164441],[-98.603978,34.160249],[-98.577136,34.148962],[-98.486328,34.062598],[-98.414426,34.085074],[-98.384381,34.146317],[-98.367494,34.156191],[-98.16912,34.114171],[-98.114506,34.154727],[-98.09066,34.12198],[-98.120208,34.072127],[-98.099096,34.048639],[-98.104022,34.036233],[-98.088203,34.005481],[-98.027672,33.993357],[-97.978243,34.005387],[-97.947572,33.991053],[-97.974173,33.942832],[-97.955511,33.938186],[-97.957155,33.914454],[-97.983552,33.904002],[-97.967777,33.88243],[-97.877387,33.850236],[-97.834333,33.857671],[-97.784657,33.890632],[-97.783717,33.91056],[-97.76377,33.914241],[-97.762768,33.934396],[-97.725289,33.941045],[-97.69311,33.983699],[-97.671772,33.99137],[-97.589598,33.953554],[-97.589254,33.903922],[-97.551541,33.897947],[-97.50096,33.919643],[-97.460376,33.903948],[-97.451469,33.87093],[-97.462857,33.841772],[-97.426493,33.819398],[-97.365507,33.823763],[-97.33294,33.87444],[-97.315913,33.865838],[-97.299245,33.880175],[-97.256625,33.863286],[-97.24618,33.900344],[-97.210921,33.916064],[-97.179609,33.89225],[-97.166629,33.847311],[-97.203514,33.821825],[-97.205431,33.801488],[-97.172192,33.737545],[-97.126102,33.716941],[-97.086195,33.743933],[-97.087999,33.808747],[-97.058623,33.818752],[-97.052209,33.841737],[-97.023899,33.844213],[-96.985567,33.886522],[-96.996183,33.941728],[-96.979415,33.956178],[-96.973807,33.935697],[-96.9163,33.957798],[-96.875281,33.860505],[-96.85609,33.84749],[-96.837413,33.871349],[-96.794276,33.868886],[-96.761588,33.824406],[-96.704457,33.835021],[-96.667187,33.91694],[-96.630117,33.895422],[-96.592948,33.895616],[-96.590112,33.880665],[-96.625399,33.856542],[-96.623155,33.841483],[-96.572937,33.819098],[-96.523863,33.818114],[-96.502286,33.77346],[-96.422643,33.776041],[-96.348306,33.686379],[-96.309964,33.710489],[-96.294867,33.764771],[-96.277269,33.769735],[-96.220521,33.74739],[-96.178059,33.760518],[-96.162757,33.788769],[-96.178964,33.810553],[-96.150765,33.816987],[-96.15163,33.831946],[-96.138905,33.839159],[-96.09936,33.83047],[-96.101349,33.845721],[-96.005296,33.845505],[-95.991487,33.866869],[-95.951609,33.857017],[-95.936132,33.886826],[-95.831948,33.835161],[-95.821666,33.856633],[-95.805149,33.861304],[-95.776255,33.845145],[-95.75431,33.853992],[-95.761916,33.883402],[-95.747335,33.895756],[-95.696962,33.885218],[-95.669978,33.905844],[-95.636978,33.906613],[-95.599678,33.934247],[-95.556915,33.92702],[-95.545197,33.880294],[-95.515302,33.891142],[-95.492028,33.874822],[-95.461499,33.883686],[-95.464211,33.873372],[-95.44737,33.86885],[-95.339122,33.868873],[-95.334523,33.885788],[-95.283445,33.877746],[-95.280351,33.896751],[-95.255747,33.902939],[-95.252906,33.933648],[-95.219358,33.961567],[-95.121184,33.931307],[-95.093929,33.895963],[-95.061065,33.895292],[-95.049025,33.86409],[-95.008376,33.866089],[-94.983303,33.851354],[-94.976208,33.859847],[-94.948716,33.818023],[-94.91945,33.810176],[-94.919614,33.786305],[-94.879218,33.764912],[-94.8693,33.745871],[-94.830804,33.740068],[-94.817427,33.752172],[-94.798634,33.744527],[-94.775064,33.755038],[-94.762961,33.731787],[-94.742576,33.727009],[-94.732384,33.700254],[-94.714865,33.707261],[-94.710725,33.691654],[-94.684792,33.684353],[-94.659167,33.692138],[-94.646113,33.6693],[-94.57962,33.677623],[-94.520725,33.616567],[-94.491503,33.625115],[-94.485875,33.637867],[-94.448637,33.642766],[-94.468086,33.599436],[-94.430039,33.591124],[-94.413155,33.569368],[-94.378076,33.577019],[-94.397398,33.562314],[-94.389515,33.546778],[-94.355945,33.54318],[-94.345513,33.567313],[-94.309582,33.551673],[-94.289129,33.582144],[-94.280849,33.577187],[-94.290901,33.558872],[-94.27909,33.557026],[-94.245932,33.589114],[-94.237975,33.577757],[-94.250197,33.556765],[-94.226392,33.552912],[-94.205634,33.567229],[-94.193248,33.556154],[-94.192483,33.570425],[-94.217408,33.57926],[-94.183913,33.594682],[-94.152626,33.575923],[-94.146048,33.581975],[-94.14852,33.565678],[-94.136864,33.571],[-94.128658,33.550952],[-94.088943,33.575322],[-94.061283,33.568805],[-94.055663,33.561887],[-94.073744,33.558285],[-94.06548,33.550909],[-94.04604,33.551321],[-94.04272,31.999265],[-94.018664,31.990843],[-93.971712,31.920384],[-93.923929,31.88985],[-93.904766,31.890599],[-93.874761,31.821661],[-93.827451,31.777741],[-93.830647,31.745811],[-93.802694,31.697783],[-93.826462,31.666919],[-93.816838,31.622509],[-93.838057,31.606795],[-93.834924,31.586211],[-93.798087,31.534044],[-93.743376,31.525196],[-93.725925,31.504092],[-93.74987,31.475276],[-93.70093,31.437784],[-93.704879,31.410881],[-93.674117,31.397681],[-93.665052,31.363886],[-93.687851,31.309835],[-93.642516,31.269508],[-93.620343,31.271025],[-93.598828,31.174679],[-93.588503,31.165581],[-93.535097,31.185614],[-93.551693,31.097258],[-93.52301,31.065241],[-93.516943,31.032584],[-93.539526,31.008498],[-93.566017,31.004567],[-93.571906,30.987614],[-93.526245,30.939411],[-93.567788,30.888302],[-93.554057,30.824941],[-93.561666,30.807739],[-93.584265,30.796663],[-93.592828,30.763986],[-93.619129,30.742002],[-93.611192,30.718053],[-93.629904,30.67994],[-93.6831,30.640763],[-93.684329,30.592586],[-93.727844,30.57407],[-93.729195,30.544842],[-93.740253,30.539569],[-93.714322,30.518562],[-93.697828,30.443838],[-93.757654,30.390423],[-93.765822,30.333318],[-93.708645,30.288317],[-93.705083,30.242752],[-93.720946,30.209852],[-93.688212,30.141376],[-93.701252,30.137376],[-93.702436,30.112721],[-93.732485,30.088914],[-93.70082,30.056274],[-93.720805,30.053043],[-93.739734,30.023987],[-93.786935,29.99058],[-93.838374,29.882855],[-93.927992,29.80964],[-93.926504,29.78956],[-93.89847,29.771577],[-93.891637,29.744618],[-93.873941,29.73777],[-93.837971,29.690619],[-93.866981,29.673085],[-94.001406,29.681486],[-94.132577,29.646217],[-94.594853,29.467903],[-94.694158,29.415632],[-94.731047,29.369141],[-94.778691,29.361483],[-94.783131,29.375642],[-94.766848,29.393489],[-94.6724,29.476843],[-94.608557,29.483345],[-94.566674,29.531988],[-94.532348,29.5178],[-94.495025,29.525031],[-94.503429,29.54325],[-94.522421,29.545672],[-94.553988,29.573882],[-94.740699,29.525858],[-94.783296,29.535314],[-94.78954,29.546494],[-94.755237,29.562782],[-94.708741,29.625226],[-94.693154,29.694453],[-94.695317,29.723052],[-94.735271,29.785433],[-94.816085,29.75671],[-94.851108,29.721373],[-94.872551,29.67125],[-94.893107,29.661336],[-94.915413,29.656614],[-94.936089,29.692704],[-94.965963,29.70033],[-95.015636,29.639457],[-94.982936,29.60167],[-95.016889,29.548303],[-94.981916,29.511141],[-94.909898,29.49691],[-94.930861,29.450504],[-94.8908,29.433432],[-94.893994,29.30817],[-94.921593,29.281556],[-94.952526,29.290122],[-95.099101,29.173529],[-95.151925,29.151162],[-95.16525,29.113566],[-95.136221,29.084537],[-94.879239,29.285839],[-94.824953,29.306005],[-94.822307,29.344254],[-94.810696,29.353435],[-94.784895,29.335535],[-94.72253,29.331446],[-95.081773,29.111222],[-95.38239,28.866348],[-95.439594,28.859022],[-95.812504,28.664942],[-96.220376,28.491966],[-96.378616,28.383909],[-96.37596,28.401682],[-96.335119,28.437795],[-96.223825,28.495067],[-96.21505,28.509679],[-95.98616,28.606319],[-95.978526,28.650594],[-95.996338,28.658736],[-96.006516,28.648049],[-96.047737,28.649067],[-96.221784,28.580364],[-96.233998,28.596649],[-96.212624,28.622604],[-96.230944,28.641433],[-96.192267,28.687744],[-96.19583,28.69894],[-96.222802,28.698431],[-96.287942,28.683164],[-96.304227,28.671459],[-96.303718,28.644996],[-96.373439,28.626675],[-96.487943,28.569677],[-96.485907,28.607845],[-96.510844,28.61497],[-96.499648,28.635835],[-96.563262,28.644487],[-96.572931,28.667897],[-96.561226,28.696395],[-96.584091,28.722798],[-96.664534,28.696904],[-96.61059,28.638889],[-96.61975,28.627693],[-96.611099,28.585962],[-96.565297,28.5824],[-96.561226,28.570695],[-96.526111,28.557972],[-96.505755,28.525911],[-96.402446,28.449066],[-96.59176,28.357462],[-96.672677,28.335579],[-96.705247,28.348811],[-96.710336,28.406827],[-96.772209,28.408074],[-96.794554,28.365688],[-96.791761,28.31217],[-96.809573,28.290287],[-96.787181,28.255681],[-96.800413,28.224128],[-96.934765,28.123873],[-96.962755,28.123365],[-97.027014,28.148408],[-97.021303,28.1841],[-97.037008,28.185528],[-97.153601,28.13318],[-97.214039,28.087494],[-97.21535,28.076575],[-97.176444,28.059892],[-97.137421,28.057037],[-97.025693,28.11216],[-97.035528,28.084688],[-97.025859,28.041939],[-97.129168,27.919801],[-97.186709,27.825453],[-97.219738,27.823939],[-97.250797,27.876035],[-97.272253,27.881427],[-97.379042,27.837867],[-97.393291,27.782905],[-97.368355,27.741683],[-97.316446,27.712676],[-97.253955,27.696696],[-97.296598,27.613947],[-97.294054,27.5941],[-97.321535,27.571199],[-97.401942,27.335574],[-97.508304,27.275014],[-97.532223,27.278577],[-97.544437,27.284175],[-97.498126,27.308602],[-97.502706,27.322343],[-97.483877,27.338628],[-97.48693,27.358984],[-97.501688,27.366618],[-97.609068,27.285193],[-97.63146,27.28621],[-97.640111,27.270943],[-97.628916,27.242953],[-97.54291,27.229213],[-97.42408,27.264073],[-97.443673,27.116235],[-97.45665,27.099695],[-97.495836,27.094098],[-97.477515,27.066108],[-97.48693,27.057711],[-97.486676,27.03481],[-97.473444,27.02285],[-97.478533,26.999186],[-97.555378,26.99028],[-97.555378,26.93888],[-97.540874,26.90631],[-97.563266,26.842188],[-97.509831,26.803511],[-97.468609,26.740915],[-97.445708,26.609362],[-97.416955,26.553637],[-97.441383,26.455418],[-97.41721,26.44982],[-97.42179,26.417249],[-97.382485,26.411326],[-97.369627,26.394603],[-97.388965,26.36585],[-97.387947,26.330481],[-97.358176,26.356435],[-97.335275,26.355672],[-97.336802,26.331753],[-97.352833,26.318521],[-97.343927,26.267376],[-97.311866,26.273737],[-97.307031,26.253126],[-97.32128,26.236078],[-97.296598,26.200709],[-97.306776,26.159487],[-97.282094,26.120301],[-97.294054,26.11394],[-97.270898,26.086459],[-97.199651,26.077044],[-97.195071,26.04193],[-97.224842,26.027426],[-97.219244,25.996128],[-97.208557,25.991802],[-97.167208,26.007069],[-97.162628,26.023482],[-97.18273,26.053126],[-97.152009,26.062108],[-97.146294,25.955606],[-97.276707,25.952147],[-97.277163,25.935438],[-97.350398,25.925241],[-97.37443,25.907444],[-97.360082,25.868874],[-97.372864,25.840117],[-97.422636,25.840378],[-97.445113,25.850026],[-97.454727,25.879337],[-97.521762,25.886458],[-97.546421,25.934077],[-97.582565,25.937857],[-97.583044,25.955443],[-97.598043,25.957556],[-97.643708,26.016943],[-97.758838,26.032131],[-97.789823,26.04246],[-97.801344,26.060017],[-97.868235,26.056656]]]]},\"properties\":{\"name\":\"Texas\",\"nation\":\"USA  \"}}]}","volume":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Musgrove, MaryLynn 0000-0003-1607-3864 mmusgrov@usgs.gov","orcid":"https://orcid.org/0000-0003-1607-3864","contributorId":197013,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","email":"mmusgrov@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":772054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solder, John E. 0000-0002-0660-3326 jsolder@usgs.gov","orcid":"https://orcid.org/0000-0002-0660-3326","contributorId":171916,"corporation":false,"usgs":true,"family":"Solder","given":"John","email":"jsolder@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Opsahl, Stephen P. 0000-0002-4774-0415 sopsahl@usgs.gov","orcid":"https://orcid.org/0000-0002-4774-0415","contributorId":4713,"corporation":false,"usgs":true,"family":"Opsahl","given":"Stephen","email":"sopsahl@usgs.gov","middleInitial":"P.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Jennifer T. 0000-0003-4481-6354 jenwilso@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-6354","contributorId":1782,"corporation":false,"usgs":true,"family":"Wilson","given":"Jennifer","email":"jenwilso@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772057,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205232,"text":"70205232 - 2019 - Semantically supported linked data mapping","interactions":[],"lastModifiedDate":"2019-11-05T06:50:25","indexId":"70205232","displayToPublicDate":"2019-07-31T14:24:42","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Semantically supported linked data mapping","docAbstract":"<p>Semantic technology based on the Resource Description Framework (RDF) modeling environment has introduced new&nbsp;data management capabilities that can lead to innovative cartographic techniques. This report describes research toward&nbsp;more semantically expressive linked geospatial data mapping, topics of research, and an avenue for further&nbsp; international collaboration.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2019 US national report (US National Committee for the International Cartographic Association)","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"International Cartography Association","usgsCitation":"Varanka, D.E., 2019, Semantically supported linked data mapping, 4 p.","productDescription":"4 p.","ipdsId":"IP-108631","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":368839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368946,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://cartogis.org/usnc-ica/us-national-report/"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":774378,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70227899,"text":"70227899 - 2019 - Occurrence, Abundance, and Associations of Topeka Shiners (Notropis topeka) in Restored and Unrestored Oxbows in Iowa and Minnesota, USA","interactions":[],"lastModifiedDate":"2022-02-03T12:00:01.602579","indexId":"70227899","displayToPublicDate":"2019-07-31T12:58:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Occurrence, Abundance, and Associations of Topeka Shiners (<i>Notropis topeka</i>) in Restored and Unrestored Oxbows in Iowa and Minnesota, USA","title":"Occurrence, Abundance, and Associations of Topeka Shiners (Notropis topeka) in Restored and Unrestored Oxbows in Iowa and Minnesota, USA","docAbstract":"<ol class=\"\"><li>In the USA, the Topeka shiner (<i>Notropis topeka</i>) is a federally listed endangered species that has been in decline for decades. A key reason for the decline is the alteration of naturally flowing streams and associated oxbow habitats resulting from land-use changes. The focus of recent conservation efforts for Topeka shiners has been the restoration of oxbow habitats by removing sediment from natural oxbows until a groundwater connection is re-established. This restoration practice has become common in portions of Iowa and south-west Minnesota.</li><li>The goals of this study were to compare the occurrence and abundance of Topeka shiners in restored and unrestored oxbows and to determine the characteristics that influenced their presence in these systems.</li><li>In 2016–2017, 34 unrestored and 64 restored oxbows in the Boone, Beaver Creek, North Raccoon and Rock River basins in Iowa and Minnesota were sampled for their fish assemblages and abiotic features. Topeka shiners were present more often and with higher average relative abundances in restored oxbows.</li><li>Nonmetric multidimensional scaling ordinations indicated that fish assemblages found in oxbows where Topeka shiners were present were less variable than assemblages found at oxbows where they were absent, but that abiotic characteristics were similar between oxbow types.</li><li>Logistic regression models suggested that the presence of Topeka shiners in oxbows was positively associated with species richness, brassy minnow (<i>Hybognathus hankinsoni</i>) catch per unit effort (no. fish/100 m<sup>2</sup>; CPUE), orangespotted sunfish (<i>Lepomis humilis</i>) CPUE, dissolved oxygen and turbidity, and negatively associated with oxbow wetted length. These results highlight the use of restored oxbows by Topeka shiners while also providing new information to help guide restoration and conservation efforts.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1002/aqc.3186","usgsCitation":"Simpson, N.T., Bybel, A.P., Weber, M., Pierce, C., and Roe, K.J., 2019, Occurrence, Abundance, and Associations of Topeka Shiners (Notropis topeka) in Restored and Unrestored Oxbows in Iowa and Minnesota, USA: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 29, no. 10, p. 1735-1748, https://doi.org/10.1002/aqc.3186.","productDescription":"14 p.","startPage":"1735","endPage":"1748","ipdsId":"IP-099109","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota","otherGeospatial":"Beaver Creek basin, Boone River basin, North Raccoon River basin, Rock River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.591796875,\n              43.29320031385279\n            ],\n            [\n              -95.5810546875,\n              43.29320031385279\n            ],\n            [\n              -95.5810546875,\n              43.8503744993026\n            ],\n            [\n              -96.591796875,\n              43.8503744993026\n            ],\n            [\n              -96.591796875,\n              43.29320031385279\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.86669921875,\n              42.374778361114195\n            ],\n            [\n              -94.37255859375,\n              42.374778361114195\n            ],\n            [\n              -94.37255859375,\n              43.18114705939968\n            ],\n            [\n              -95.86669921875,\n              43.18114705939968\n            ],\n            [\n              -95.86669921875,\n              42.374778361114195\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"10","noUsgsAuthors":false,"publicationDate":"2019-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Simpson, Nicholas T.","contributorId":273064,"corporation":false,"usgs":false,"family":"Simpson","given":"Nicholas","email":"","middleInitial":"T.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":832551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bybel, Alexander P.","contributorId":273065,"corporation":false,"usgs":false,"family":"Bybel","given":"Alexander","email":"","middleInitial":"P.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":832552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, Michael J.","contributorId":273066,"corporation":false,"usgs":false,"family":"Weber","given":"Michael J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":832553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832550,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roe, Kevin J.","contributorId":273068,"corporation":false,"usgs":false,"family":"Roe","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":832554,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203750,"text":"sir20195052 - 2019 - Hydrogeologic framework and delineation of transient areas contributing recharge and zones of contribution to selected wells in the upper Santa Fe Group aquifer, southeastern Albuquerque, New Mexico, 1900–2050","interactions":[],"lastModifiedDate":"2019-08-01T07:18:46","indexId":"sir20195052","displayToPublicDate":"2019-07-31T11:28:41","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5052","displayTitle":"Hydrogeologic Framework and Delineation of Transient Areas Contributing Recharge and Zones of Contribution to Selected Wells in the Upper Santa Fe Group Aquifer, Southeastern Albuquerque, New Mexico, 1900–2050","title":"Hydrogeologic framework and delineation of transient areas contributing recharge and zones of contribution to selected wells in the upper Santa Fe Group aquifer, southeastern Albuquerque, New Mexico, 1900–2050","docAbstract":"<p>The Santa Fe Group aquifer is an important source of water to communities within the Middle Rio Grande Basin, including the Albuquerque-Rio Rancho metropolitan area and Kirtland Air Force Base, New Mexico. In November 1999, Kirtland Air Force Base personnel observed fuel-stained soils at the Bulk Fuels Facility on the base. Subsequent pressure tests identified pipeline leaks. Fuels stored at the Bulk Fuels Facility have included aviation gasoline, jet propellant 4, and jet propellant 8. The fuels migrated about 480 feet down to the water table. Ethylene dibromide, the constituent making up the most extensive part of the plume and a component of leaded aviation gasoline, has formed a plume that, in December 2016, was 400 to 1,300 feet wide, extended about 5,800 feet northeast from the Bulk Fuels Facility, and was about 3,700 feet from the nearest downgradient water-supply well.</p><p>Prior to widespread development of groundwater resources in southeastern Albuquerque, groundwater near the present-day location of the Bulk Fuels Facility flowed to the southwest. Groundwater began flowing northeast in about 1980 towards a large area of lowered water levels caused by groundwater pumping.</p><p>In 2013 and 2014 the Albuquerque Bernalillo County Water Utility Authority, the U.S. Air Force, and the U.S. Geological Survey began a cooperative study to characterize the geology and hydrology of the Santa Fe Group aquifer in the vicinity of the ethylene dibromide plume and to develop a local-scale groundwater flow model to delineate areas contributing recharge and zones of contribution to selected water-supply wells.</p><p>For this study, a previously developed Middle Rio Grande Basin regional groundwater-flow model was updated, and a smaller local-scale model was developed. Advective groundwater-flow paths were delineated and visualized with the MODPATH particle-tracking program.</p><p>Of 11 wells included in the historical pumping analysis of areas contributing recharge, only wells K-3, K-7, and RC-4 derived a portion of their water from simulated recharge sources within the local-scale model. None of the areas contributing recharge overlap the Bulk Fuels Facility area or the ethylene dibromide plume footprint as delineated using December 2016 ethylene dibromide data.</p><p>For the historical pumping analysis of zones of contribution, particles for the 11 selected wells generally moved southwest from the north and east boundaries of the local-scale model, moved past their target well, but reversed direction and moved back towards their target well after 1980 when groundwater flow changed to the northeast. Of the 11 wells, only BR-5, RC-5, and VH-2 had 1980–2013 particle pathlines that overlap the December 2016 ethylene dibromide plume footprint, and wells BR-5 and VH-2 have 1980–2013 particle pathlines that overlap the Bulk Fuels Facility area. Particles that were north of the Bulk Fuels Facility when groundwater flow reversed direction would not have the opportunity to interact with the ethylene dibromide plume. Wells BR-5, K-15, and VH-2 did have particles southwest of the Bulk Fuels Facility in 1980. Particles traveling to BR-5 and K-15 passed under or very near the Bulk Fuels Facility area in the 1980–2013 period, but none of the pathlines were shallow enough to interact with ethylene dibromide at the Bulk Fuels Facility. A few particles traveling to VH-2 passed through the Bulk Fuels Facility area at shallow enough depths to interact with ethylene dibromide at the Bulk Fuels Facility in the 1980–2013 period. Ethylene dibromide has not been detected in water samples collected in 2012 through 2015 from the VH-2 well.</p><p>Of 10 water-supply wells near the ethylene dibromide plume included in the future pumping analysis of areas contributing recharge, only wells K-3, RC-3, and RC-4 had areas contributing recharge within the local-scale model. The areas contributing recharge for wells RC-3 and RC-4 do not overlap the Bulk Fuels Facility area or the December 2016 ethylene&nbsp;dibromide plume footprint, but K-3 derives part of its recharge prior to 1980 and during 1980–2015 from within the area of the December 2016 plume footprint.</p><p>The analysis of the future pumping scenarios indicated that wells BR-5, K-3, K-16, RC-5, and VH-2 have pathlines for 1980–2015 and wells K-16 and VH-2 have pathlines for 2015–50 that when projected in plan view pass through the December 2016 plume footprint. Of these five wells, only K-3 and RC-5 have pathlines for 1980–2015 that are above an elevation of 4,800 feet and could interact with the ethylene dibromide plume if ethylene dibromide was present when the particles were present.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195052","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority and the U.S. Air Force","usgsCitation":"Myers, N.C., and Friesz, P.J., 2019, Hydrogeologic framework and delineation of transient areas contributing recharge and zones of contribution to selected wells in the upper Santa Fe Group aquifer, southeastern Albuquerque, New Mexico, 1900–2050: U.S. Geological Survey Scientific Investigations Report 2019–5052, 73 p., https://doi.org/10.3133/sir20195052.","productDescription":"Report: viii, 73 p.; Data Release","numberOfPages":"86","onlineOnly":"Y","ipdsId":"IP-080008","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":365539,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5052/sir20195052.pdf","text":"Report","size":"38.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5052"},{"id":365538,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5052/coverthb.jpg"},{"id":365540,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79P303S","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"MODFLOW–LGR2 groundwater-flow model used to delineate transient areas contributing recharge and zones of contribution to selected wells in the upper Santa Fe Group aquifer, southeastern Albuquerque, New Mexico"}],"country":"United States","state":"New Mexico","county":"Bernalillo County","city":"Albuquerque","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-106.242,35.2147],[-106.2387,35.0549],[-106.2386,35.0408],[-106.2373,34.9568],[-106.1453,34.9547],[-106.1446,34.872],[-106.3328,34.8712],[-106.3569,34.8702],[-106.409,34.8687],[-106.4097,34.8914],[-106.417,34.8945],[-106.4221,34.9013],[-106.6755,34.9065],[-106.6838,34.9006],[-106.6917,34.901],[-106.6922,34.896],[-106.7139,34.8772],[-106.7127,34.8713],[-107.0181,34.8727],[-107.0227,34.8817],[-107.0641,34.9618],[-107.104,35.0395],[-107.1068,35.0454],[-107.1769,35.1809],[-107.1972,35.2197],[-107.1628,35.2192],[-107.1623,35.2192],[-107.1578,35.2192],[-107.1262,35.2186],[-107.1105,35.2188],[-107.0936,35.2189],[-107.0801,35.2186],[-107.0761,35.2186],[-107.0345,35.2185],[-106.9416,35.217],[-106.9337,35.2171],[-106.8808,35.2171],[-106.8622,35.2172],[-106.5955,35.2184],[-106.5645,35.2186],[-106.4964,35.2184],[-106.479,35.2176],[-106.4531,35.2172],[-106.3822,35.2175],[-106.3765,35.2175],[-106.242,35.2147]]]},\"properties\":{\"name\":\"Bernalillo\",\"state\":\"NM\"}}]}","contact":"<p><a data-mce-href=\"mailto:dc_nm@usgs.gov\" href=\"mailto:dc_nm@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/nm-water\" href=\"https://www.usgs.gov/centers/nm-water\">New Mexico Water Science Center</a> <br>U.S. Geological Survey<br>6700 Edith Blvd. NE, Suite B <br>Albuquerque, NM 87113<br></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Hydrogeologic Framework</li><li>Numerical Groundwater-Flow Model Development and Calibration</li><li>Delineation of Transient Areas Contributing Recharge and Zones of Contribution to Selected Water-Supply Wells</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-07-31","noUsgsAuthors":false,"publicationDate":"2019-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Myers, Nathan C. 0000-0002-7469-3693","orcid":"https://orcid.org/0000-0002-7469-3693","contributorId":216132,"corporation":false,"usgs":true,"family":"Myers","given":"Nathan C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friesz, Paul J. 0000-0002-4660-2336","orcid":"https://orcid.org/0000-0002-4660-2336","contributorId":216133,"corporation":false,"usgs":true,"family":"Friesz","given":"Paul J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763953,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70215401,"text":"70215401 - 2019 - Preface—Evaluating the response of critical zone processes to human impacts with sediment source fingerprinting","interactions":[],"lastModifiedDate":"2020-10-18T15:04:05.341997","indexId":"70215401","displayToPublicDate":"2019-07-31T09:58:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2457,"text":"Journal of Soils and Sediments","active":true,"publicationSubtype":{"id":10}},"title":"Preface—Evaluating the response of critical zone processes to human impacts with sediment source fingerprinting","docAbstract":"1) Background: Critical Zone Processes in the Anthropocene\n\nThe Earth’s Critical Zone encompasses a suite of interconnected processes in the near-surface lithosphere, pedosphere, biosphere, atmosphere, and hydrosphere (Brantley et al., 2007; Lin, 2010) (Fig. 1). Processes and interactions both within and between these various Critical Zone components supports life-sustaining ecosystem services and resources that establish the foundation for humanity (NRC, 2001). This includes the formation production of fertile soils, flourishing vegetation, productive rivers, lakes and oceans, and our life-sustaining atmosphere (Gaillardet, 2014; Guo and Lin, 2016).\n\nRapid population growth, land use intensification, and global environmental change are disturbing many of these fundamental Critical Zone processes. More than half of the Earth’s terrestrial surface is now impacted by anthropogenic activities (e.g., clearing, grazing, plowing, mining, and logging) (Hooke et al., 2012; Richter and Mobley, 2009). These changes are so widespread and pervasive that the great acceleration of socioeconomic development that occurred around 1950 (Fig. 2) has been recommended to delineate the dawn of the Anthropocene (Waters et al., 2016). Although the utility of adopting and delineating the Anthropocene as the current epoch is subject to debate (Crutzen, 2002; Ruddiman et al., 2015; Smith and Zeder, 2013), the concept effectively highlights both the nature and the extent of our global impact on Earth’s Critical Zone. \n\nSoil forming processes and ecosystem services provided by the pedosphere are central to the Critical Zone (Banwart et al., 2011; Lin, 2010). Many of these processes have been disturbed by the agricultural intensification that coincided with the great acceleration resulting in unsustainable land use practices now outpacing soil formation processes (Brantley et al., 2007). As agricultural landscapes now cover an area equivalent to what was scoured during the last glacial maximum (Amundson et al., 2007), the broad-scale intensification of anthropogenic activities has resulted in significant on- and off-site impacts. On-site, soil loss has resulted in decreases in soil fertility and agricultural yields (Ladha et al., 2009) threatening the ability to feed the world’s growing population (Brantley et al., 2007). Off-site, the excess delivery of particulate matter downstream is degrading riverine, lacustrine, and estuarine ecosystems (Bilotta and Brazier, 2008; Clark, 1985; Owens et al., 2005).\nThe challenge, as noted by Brantley et al., (2007), is that despite our society having over 10,000 years of experience working with soils, our conceptual and quantitative models remain inadequate at predicting Critical Zone dynamics under current conditions. Notwithstanding growing pressure for improved environmental management, we still have a limited capacity to predict changes in the Critical Zone in response to anthropogenic activities owing to the multiple spatial and temporal scales at which these complex processes and feedbacks are manifest. As river basin systems are impacted by many of these processes, a deep understanding of soil-sediment continuum dynamics may provide a valuable framework for evaluating the disturbance response of Critical Zone processes. Understanding these processes may also provide land and resource managers with the information necessary to manage both the on-site and off-site effects of accelerated soil erosion.","language":"English","publisher":"Springer","doi":"10.1007/s11368-019-02409-0","usgsCitation":"Laceby, J.P., Gellis, A.C., Koiter, A.J., Blake, W.H., and Evrard, O., 2019, Preface—Evaluating the response of critical zone processes to human impacts with sediment source fingerprinting: Journal of Soils and Sediments, v. 19, p. 3245-3254, https://doi.org/10.1007/s11368-019-02409-0.","productDescription":"10 p.","startPage":"3245","endPage":"3254","ipdsId":"IP-109272","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":467405,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11368-019-02409-0","text":"Publisher Index Page"},{"id":379500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","noUsgsAuthors":false,"publicationDate":"2019-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Laceby, J. Patrick","contributorId":243321,"corporation":false,"usgs":false,"family":"Laceby","given":"J.","email":"","middleInitial":"Patrick","affiliations":[{"id":48685,"text":"Environmental Monitoring and Science Division, Alberta Environment and Parks, 3115 – 12 Street NE Calgary, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":802032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koiter, Alexander J.","contributorId":243322,"corporation":false,"usgs":false,"family":"Koiter","given":"Alexander","email":"","middleInitial":"J.","affiliations":[{"id":48686,"text":"Department of Geography and Environment, Brandon University, 270 18th St, Brandon, MB R7A 6A9, Canada","active":true,"usgs":false}],"preferred":false,"id":802038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blake, Will H.","contributorId":243323,"corporation":false,"usgs":false,"family":"Blake","given":"Will","email":"","middleInitial":"H.","affiliations":[{"id":48687,"text":"School of Geography, Earth and Environmental Sciences, Plymouth University, Plymouth, PL4 8AA, UK","active":true,"usgs":false}],"preferred":false,"id":802039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evrard, Olivier","contributorId":243324,"corporation":false,"usgs":false,"family":"Evrard","given":"Olivier","email":"","affiliations":[{"id":48688,"text":"Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, UMR 8212 (CEA-CNRS-UVSQ), Université Paris-Saclay, F-91191Gif-sur-Yvette Cedex, France","active":true,"usgs":false}],"preferred":false,"id":802040,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204623,"text":"70204623 - 2019 - Remote sensing as the foundation for high-resolution United States landscape projections – The Land Change Monitoring, assessment, and projection (LCMAP) initiative","interactions":[],"lastModifiedDate":"2019-08-07T09:37:29","indexId":"70204623","displayToPublicDate":"2019-07-31T09:35:00","publicationYear":"2019","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":"Remote sensing as the foundation for high-resolution United States landscape projections – The Land Change Monitoring, assessment, and projection (LCMAP) initiative","docAbstract":"<p><span>The Land Change Monitoring, Assessment, and Projection (LCMAP) initiative uses temporally dense Landsat data and time series analyses to characterize landscape change in the United States from 1985 to present. LCMAP will be used to explain how past, present, and future landscape change affects society and natural systems. Here, we describe a modeling framework for producing high-resolution (spatial and thematic) landscape projections at a national scale, using a unique parcel-based modeling framework. The methodology was tested by modeling 11 land use scenarios and 3 climate realizations for the U.S. Great Plains. Results demonstrate 1) an ability to balance competing land-use demands from quite variable, complex scenarios, 2) urban growth that matches theoretical future patterns, 3) the value of remote sensing data sources for model parameterization and for deriving landscape parcels, and 4) a pragmatic approach that facilitates the development of high thematic- and spatial-resolution projections at a national scale.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2019.104495","usgsCitation":"Sohl, T.L., Dornbierer, J., Wika, S., and Robison, C., 2019, Remote sensing as the foundation for high-resolution United States landscape projections – The Land Change Monitoring, assessment, and projection (LCMAP) initiative: Environmental Modelling and Software, v. 120, 104495, 17 p., https://doi.org/10.1016/j.envsoft.2019.104495.","productDescription":"104495, 17 p.","ipdsId":"IP-110128","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467406,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2019.104495","text":"Publisher Index Page"},{"id":366326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"120","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":767809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dornbierer, Jordan 0000-0003-2099-5095","orcid":"https://orcid.org/0000-0003-2099-5095","contributorId":213067,"corporation":false,"usgs":false,"family":"Dornbierer","given":"Jordan","affiliations":[{"id":38270,"text":"SGT Inc., contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":767810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wika, Steve 0000-0001-9992-8973","orcid":"https://orcid.org/0000-0001-9992-8973","contributorId":213068,"corporation":false,"usgs":false,"family":"Wika","given":"Steve","affiliations":[{"id":38700,"text":"SGT Inc.","active":true,"usgs":false}],"preferred":false,"id":767811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robison, Charles 0000-0002-7623-2380","orcid":"https://orcid.org/0000-0002-7623-2380","contributorId":217916,"corporation":false,"usgs":false,"family":"Robison","given":"Charles","email":"","affiliations":[{"id":39714,"text":"SGT Inc. (USGS Contractor)","active":true,"usgs":false}],"preferred":false,"id":767812,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70210860,"text":"70210860 - 2019 - Geochemical characterization of iron and steel slag and its potential to remove phosphate and neutralize acid","interactions":[],"lastModifiedDate":"2021-05-13T17:02:43.019363","indexId":"70210860","displayToPublicDate":"2019-07-31T08:17:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical characterization of iron and steel slag and its potential to remove phosphate and neutralize acid","docAbstract":"Iron and steel slags from legacy and modern operations in the Chicago-Gary area of Illinois and Indiana, USA, are predominantly composed of Ca (10 - 44 wt. % CaO), Fe, (0.3 - 28 wt. % FeO), and Si (10 - 44 wt. % SiO2), with generally lesser amounts of Al (< 1  15 wt. % Al2O3), Mg (2  11 wt. % MgO), and Mn (0.3  9 wt. % MnO). Mineralogy is dominated by CaMgAl silicates, FeCa oxides, Ca-carbonates, and high temperature SiO2 phases. Chromium and Mn concentrations in most samples may be environmentally significant based on comparison with generic soil contaminant guidelines. However, simulated weathering tests suggest these elements are present in generally insoluble phases making use in water treatment applications possible; generation of high pH and alkaline solutions may be an issue. As for water treatment applications, batch and flow-through experiments document effective removal of phosphate from synthetic solutions for nearly all slag samples. Air-cooled fine fractions (< 10 mm) of modern slag were most effective; other types, including modern granulated, modern air-cooled coarse fractions (> 10 mm), and legacy slag removed phosphate, but to a lesser degree. An additional water treatment application is the use of slag to neutralize acidic waters. Most slag samples are extremely alkaline and have high net neutralization potentials (NNP) (400  830 kg CaCO3/t), with the highest approximately equivalent to 80% the neutralization potential of calcite. Overall, phosphate removal capacity and NNP correlate positively with total Ca content and the dissolution of Ca minerals facilitates secondary Ca phosphate formation and consumes acid during hydrolysis. Utilizing locally available slag to treat waste or agricultural waters in this region may be a higher value alternative than use in construction, potentially offsetting restoration costs to degraded legacy areas and decreasing steel manufacturers current waste footprint.","language":"English","publisher":"MDPI","doi":"10.3390/min9080468","usgsCitation":"Piatak, N.M., Seal,, R., Hoppe, D.A., Green, C.J., and Buszka, P.M., 2019, Geochemical characterization of iron and steel slag and its potential to remove phosphate and neutralize acid: Minerals, v. 9, no. 8, 468, 26 p., https://doi.org/10.3390/min9080468.","productDescription":"468, 26 p.","ipdsId":"IP-109123","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":467407,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min9080468","text":"Publisher Index Page"},{"id":376012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385609,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X7SPIK","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Geochemical characterization, acid neutralization potential, and phosphate removal capacity of modern and legacy iron and steel slag from the Chicago-Gary area of Illinois and Indiana, USA"}],"volume":"9","issue":"8","noUsgsAuthors":false,"publicationDate":"2019-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":791755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seal,, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":141204,"corporation":false,"usgs":true,"family":"Seal,","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":791756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoppe, Darryl Andre 0000-0003-3369-5577","orcid":"https://orcid.org/0000-0003-3369-5577","contributorId":225586,"corporation":false,"usgs":true,"family":"Hoppe","given":"Darryl","email":"","middleInitial":"Andre","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":791757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, Carlin J. 0000-0002-6557-6268 cjgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6557-6268","contributorId":193013,"corporation":false,"usgs":true,"family":"Green","given":"Carlin","email":"cjgreen@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":791758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buszka, Paul M. 0000-0001-8218-826X pmbuszka@usgs.gov","orcid":"https://orcid.org/0000-0001-8218-826X","contributorId":1786,"corporation":false,"usgs":true,"family":"Buszka","given":"Paul","email":"pmbuszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791759,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}