{"pageNumber":"321","pageRowStart":"8000","pageSize":"25","recordCount":40783,"records":[{"id":70204156,"text":"70204156 - 2019 - Safety in numbers: Cost-effective endangered species management for viable populations","interactions":[],"lastModifiedDate":"2019-07-10T08:53:56","indexId":"70204156","displayToPublicDate":"2019-07-09T14:32:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2598,"text":"Land Economics","active":true,"publicationSubtype":{"id":10}},"title":"Safety in numbers: Cost-effective endangered species management for viable populations","docAbstract":"We develop a bioeconomic model to identify the cost-effective control of an invasive species (rain-bow trout) to achieve a population viability goal for an endangered species (humpback chub) in the Grand Canyon of the U.S. southwest. The population viability optimization problem is no-toriously difficult to solve due to a probabilistic restriction on joint outcomes (survival) over many periods. We develop a novel dynamic programming solution approach that is fast and forgoes the simulation method requirement of imposing structure on the policy function. We also investigate an adaptive management model that incorporates learning about uncertain bi-ological dynamics.","language":"English","publisher":"University of Wisconsin Press","doi":"10.3368/le.95.3.435","usgsCitation":"Donovan, P., Bair, L.S., Yackulic, C.B., and Springborn, M.R., 2019, Safety in numbers: Cost-effective endangered species management for viable populations: Land Economics, v. 95, no. 3, p. 435-453, https://doi.org/10.3368/le.95.3.435.","productDescription":"19 p.","startPage":"435","endPage":"453","ipdsId":"IP-098564","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460341,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/4vz9j7tj","text":"External Repository"},{"id":365393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.87515258789062,\n              36.30350540784278\n            ],\n            [\n              -111.83052062988281,\n              36.20383663503318\n            ],\n            [\n              -111.8353271484375,\n              36.13842925151492\n            ],\n            [\n              -111.88888549804686,\n              36.09017021216552\n            ],\n            [\n              -111.93626403808592,\n              36.0624217151089\n            ],\n            [\n              -112.03102111816406,\n              36.09349937380574\n            ],\n            [\n              -112.13539123535156,\n              36.122900843139995\n            ],\n            [\n              -112.20886230468749,\n              36.12733784475041\n            ],\n            [\n              -112.26036071777344,\n              36.161716102717776\n            ],\n            [\n              -112.28851318359375,\n              36.165042231280346\n            ],\n            [\n              -112.3249053955078,\n              36.24316561280259\n            ],\n            [\n              -112.37228393554686,\n              36.25867019438799\n            ],\n            [\n              -112.42034912109375,\n              36.251472021249235\n            ],\n            [\n              -112.43751525878906,\n              36.21934901597362\n            ],\n            [\n              -112.44712829589844,\n              36.24870331653198\n            ],\n            [\n              -112.50068664550781,\n              36.26199220445664\n            ],\n            [\n              -112.45124816894531,\n              36.31567842522224\n            ],\n            [\n              -112.44163513183594,\n              36.3654573386358\n            ],\n            [\n              -112.52197265625,\n              36.41244153535644\n            ],\n            [\n              -112.60231018066406,\n              36.40802070382984\n            ],\n            [\n              -112.6599884033203,\n              36.39475669987386\n            ],\n            [\n              -112.66960144042969,\n              36.36435148624664\n            ],\n            [\n              -112.68745422363281,\n              36.36822190085111\n            ],\n            [\n              -112.7471923828125,\n              36.35329209802049\n            ],\n            [\n              -112.73963928222656,\n              36.33504067209607\n            ],\n            [\n              -112.77328491210938,\n              36.33282808737917\n            ],\n            [\n              -112.774658203125,\n              36.316784968925134\n            ],\n            [\n              -112.80693054199219,\n              36.304058768042964\n            ],\n            [\n              -112.83714294433594,\n              36.29741818650811\n            ],\n            [\n              -112.86186218261719,\n              36.295204533693536\n            ],\n            [\n              -112.90443420410156,\n              36.27195738694016\n            ],\n            [\n              -112.93876647949219,\n              36.26088488346501\n            ],\n            [\n              -112.97172546386719,\n              36.24759580717711\n            ],\n            [\n              -113.01361083984375,\n              36.24981081019096\n            ],\n            [\n              -113.04176330566406,\n              36.24427318493909\n            ],\n            [\n              -113.08021545410156,\n              36.223780559967814\n            ],\n            [\n              -113.12759399414062,\n              36.19663341291529\n            ],\n            [\n              -113.16123962402344,\n              36.194416903538226\n            ],\n            [\n              -113.19694519042969,\n              36.17058546525473\n            ],\n            [\n              -113.20106506347656,\n              36.147855714690515\n            ],\n            [\n              -113.14201354980469,\n              36.147855714690515\n            ],\n            [\n              -112.85568237304686,\n              36.25424062786422\n            ],\n            [\n              -112.67372131347656,\n              36.33061543982086\n            ],\n            [\n              -112.62496948242188,\n              36.375409302898895\n            ],\n            [\n              -112.53158569335938,\n              36.38425442456082\n            ],\n            [\n              -112.47390747070311,\n              36.353845104753745\n            ],\n            [\n              -112.50961303710938,\n              36.30737884678978\n            ],\n            [\n              -112.54051208496094,\n              36.27029661150109\n            ],\n            [\n              -112.53227233886719,\n              36.23596601135999\n            ],\n            [\n              -112.47665405273438,\n              36.22765795501122\n            ],\n            [\n              -112.47047424316406,\n              36.194971036764976\n            ],\n            [\n              -112.42446899414062,\n              36.1838876271496\n            ],\n            [\n              -112.39974975585938,\n              36.22101087439238\n            ],\n            [\n              -112.39425659179688,\n              36.23153515782462\n            ],\n            [\n              -112.35305786132812,\n              36.23208902824811\n            ],\n            [\n              -112.34069824218749,\n              36.193862766389856\n            ],\n            [\n              -112.32833862304688,\n              36.15783544102625\n            ],\n            [\n              -112.25624084472656,\n              36.11901826100922\n            ],\n            [\n              -112.19169616699219,\n              36.075742215627\n            ],\n            [\n              -112.14981079101562,\n              36.0779620797358\n            ],\n            [\n              -112.10243225097656,\n              36.0824016199585\n            ],\n            [\n              -112.07015991210938,\n              36.075742215627\n            ],\n            [\n              -112.02690124511719,\n              36.053540128339755\n            ],\n            [\n              -111.96578979492188,\n              36.03077648727852\n            ],\n            [\n              -111.90536499023438,\n              36.029110596631874\n            ],\n            [\n              -111.87652587890625,\n              36.045767917668705\n            ],\n            [\n              -111.83738708496094,\n              36.07685215551436\n            ],\n            [\n              -111.80030822753906,\n              36.12068224829002\n            ],\n            [\n              -111.785888671875,\n              36.17446549576358\n            ],\n            [\n              -111.78794860839842,\n              36.22101087439238\n            ],\n            [\n              -111.8030548095703,\n              36.25867019438799\n            ],\n            [\n              -111.82022094726562,\n              36.29022358519359\n            ],\n            [\n              -111.8415069580078,\n              36.311805398567465\n            ],\n            [\n              -111.8415069580078,\n              36.31844475502766\n            ],\n            [\n              -111.87446594238281,\n              36.306825510148094\n            ],\n            [\n              -111.87515258789062,\n              36.30350540784278\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"95","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Donovan, Pierce","contributorId":216838,"corporation":false,"usgs":false,"family":"Donovan","given":"Pierce","email":"","affiliations":[{"id":39527,"text":"University of California, Davis, CA; Agricultural and Resource Economics","active":true,"usgs":false}],"preferred":false,"id":765743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bair, Lucas S. 0000-0002-9911-3624 lbair@usgs.gov","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":5270,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","email":"lbair@usgs.gov","middleInitial":"S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":765744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":765745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Springborn, Michael R.","contributorId":207552,"corporation":false,"usgs":false,"family":"Springborn","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":37562,"text":"University of California Davis, 1 Shields Avenue Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":765746,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204428,"text":"70204428 - 2019 - Predictive analysis using chemical-gene interaction networks consistent with observed endocrine activity and mutagenicity of U.S. streams","interactions":[],"lastModifiedDate":"2020-09-09T14:55:14.739755","indexId":"70204428","displayToPublicDate":"2019-07-09T11:59:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Predictive analysis using chemical-gene interaction networks consistent with observed endocrine activity and mutagenicity of U.S. streams","docAbstract":"In a recent U.S. Geological Survey/U.S. Environmental Protection Agency study assessing >700 organic compounds in 38 streams, in vitro assays indicated generally low estrogen, androgen, and glucocorticoid receptor activities, but identified 13 surface waters with 17β estradiol equivalent (E2Eq) activities greater than the 1 ng/L level of concern for feminization of male fish.  Among the 36 samples assayed for mutagenicity in the Salmonella bioassay (reported here), 25% were considered mutagenic (statistically significant slope and at least a two-fold increase in revertants/plate). Endocrine and mutagenic activities of the water samples were well correlated with each other and with the total number and cumulative concentrations of detected chemical contaminants. To test the predictive utility of knowledgebase-leveraging approaches, site-specific predicted chemical-gene (pCGA) and predicted analogous pathway-linked (pPLA) association networks identified in the Comparative Toxicogenomics Database were compared with observed endocrine/mutagenic bioactivities. We evaluated pCGA/pPLA patterns among sites by cluster analysis and principal component analysis and grouped the pPLA into broad mode-of-action classes. Measured E2Eq and mutagenic activities correlated well with predicted pathways. The pPLA analysis also revealed correlations with signaling, metabolic, and regulatory groups, suggesting that other effects pathways may be associated with chemical contaminants in these waters and indicating the need for broader bioassay coverage to assess potential adverse impacts.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.9b02990","usgsCitation":"Berninger, J.P., DeMarini, D.M., Warren, S.H., Simmons, J.E., Wilson, V.S., Conley, J.M., Armstrong, M.D., Kolpin, D., Kuivila, K., Reilly, T.J., Romanok, K., Villeneuve, D.L., Bradley, P., and Iwanowicz, L., 2019, Predictive analysis using chemical-gene interaction networks consistent with observed endocrine activity and mutagenicity of U.S. streams: Environmental Science & Technology, v. 53, no. 15, p. 8611-8620, https://doi.org/10.1021/acs.est.9b02990.","productDescription":"10 p.","startPage":"8611","endPage":"8620","ipdsId":"IP-097471","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":467473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6770991","text":"Publisher Index Page"},{"id":365863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"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":"53","issue":"15","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Berninger, Jason P. 0000-0003-3045-7899","orcid":"https://orcid.org/0000-0003-3045-7899","contributorId":211133,"corporation":false,"usgs":true,"family":"Berninger","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":766862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeMarini, David M. 0000-0001-8357-7988","orcid":"https://orcid.org/0000-0001-8357-7988","contributorId":217478,"corporation":false,"usgs":false,"family":"DeMarini","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":766863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warren, Sarah H. 0000-0002-5046-2890","orcid":"https://orcid.org/0000-0002-5046-2890","contributorId":217479,"corporation":false,"usgs":false,"family":"Warren","given":"Sarah","email":"","middleInitial":"H.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":766864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simmons, Jane Ellen","contributorId":194445,"corporation":false,"usgs":false,"family":"Simmons","given":"Jane","email":"","middleInitial":"Ellen","affiliations":[],"preferred":false,"id":766865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Vickie S. 0000-0003-1661-8481","orcid":"https://orcid.org/0000-0003-1661-8481","contributorId":184092,"corporation":false,"usgs":false,"family":"Wilson","given":"Vickie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":766866,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Conley, Justin M.","contributorId":184086,"corporation":false,"usgs":false,"family":"Conley","given":"Justin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":766867,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Armstrong, Mikayla D. 0000-0002-0381-9324","orcid":"https://orcid.org/0000-0002-0381-9324","contributorId":217480,"corporation":false,"usgs":false,"family":"Armstrong","given":"Mikayla","email":"","middleInitial":"D.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":766868,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766869,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":190790,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn","email":"kkuivila@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766870,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766871,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Romanok, Kristin M. 0000-0002-8472-8765","orcid":"https://orcid.org/0000-0002-8472-8765","contributorId":205651,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766872,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Villeneuve, Daniel L.","contributorId":141084,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":766873,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bradley, Paul M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":205668,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":766874,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":205661,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":766875,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70228116,"text":"70228116 - 2019 - Landscape-scale greater prairie-chicken–habitat relations and the Conservation Reserve Program","interactions":[],"lastModifiedDate":"2022-02-04T18:02:21.475855","indexId":"70228116","displayToPublicDate":"2019-07-09T11:58:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-scale greater prairie-chicken–habitat relations and the Conservation Reserve Program","docAbstract":"<p><span>Both the abundance of greater prairie-chickens (</span><i>Tympanuchus cupido pinnatus</i><span>) and the area of grassland enrolled in the Conservation Reserve Program (CRP) in northwestern Minnesota, USA, have recently declined. Although wildlife conservation is a stated objective of the CRP, the impact of the CRP on greater prairie-chicken populations has not been quantified. To address that information need, we evaluated the association between greater-prairie chicken lek density (leks/km</span><sup>2</sup><span>), the number of males at leks (males/lek), and CRP enrollments in the context of landscape structure and composition in northwestern Minnesota. Using data from standardized prairie-chicken surveys and land cover in 17 41-km</span><sup>2</sup><span>&nbsp;survey blocks during 2004–2016, we used a mixed-effect model and a layered approach in an information-theoretic framework at multiple spatial scales to identify covariates related to prairie-chicken abundance. At the landscape scale, lek density was best explained by the amount of CRP grassland and wetland, grassland and wetland with long-term conservation goals (state, federal, and The Nature Conservancy owned); other wetlands managed with variable or no continuity in conservation goals; the contiguity of grasslands; and the number of patches of grasslands and wetlands in each survey block each year. Increasing the amount of CRP grassland in 41-km</span><sup>2</sup><span>&nbsp;survey blocks by 1 km</span><sup>2</sup><span>&nbsp;(2.4%) resulted in a corresponding increase of 6% in lek density. At the lek scale, the number of males per lek was best explained by the amount of CRP grassland and other grassland, CRP wetland and other wetland, forests, developed areas, shrubland, and the contiguity of CRP grassland. Increasing the amount of CRP grassland in the 2-km breeding-cycle habitat radius around a lek by 25% (3 km</span><sup>2</sup><span>) corresponded to a 5% increase in males per lek. Our results suggest that both increasing the quantity of grassland CRP and wetland CRP enrollments and aggregating CRP grassland enrollments may increase greater prairie-chicken abundance.</span></p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21724","usgsCitation":"Adkins, K., Roy, C.L., Andersen, D.E., and Wright, R.G., 2019, Landscape-scale greater prairie-chicken–habitat relations and the Conservation Reserve Program: Journal of Wildlife Management, v. 83, no. 6, p. 1415-1426, https://doi.org/10.1002/jwmg.21724.","productDescription":"12 p.","startPage":"1415","endPage":"1426","ipdsId":"IP-102230","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.152099609375,\n              45.805828539928356\n            ],\n            [\n              -95.0537109375,\n              45.805828539928356\n            ],\n            [\n              -95.0537109375,\n              48.45835188280866\n            ],\n            [\n              -97.152099609375,\n              48.45835188280866\n            ],\n            [\n              -97.152099609375,\n              45.805828539928356\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"83","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Adkins, Kalysta","contributorId":274612,"corporation":false,"usgs":false,"family":"Adkins","given":"Kalysta","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":833159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Charlotte L.","contributorId":274613,"corporation":false,"usgs":false,"family":"Roy","given":"Charlotte","email":"","middleInitial":"L.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":833160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833158,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Robert G.","contributorId":274614,"corporation":false,"usgs":false,"family":"Wright","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":833161,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204166,"text":"70204166 - 2019 - Timber harvest alters mercury bioaccumulation and food web structure in headwater streams","interactions":[],"lastModifiedDate":"2019-07-23T14:15:45","indexId":"70204166","displayToPublicDate":"2019-07-06T16:18:05","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":"Timber harvest alters mercury bioaccumulation and food web structure in headwater streams","docAbstract":"Timber harvest has many effects on aquatic ecosystems, including changes in hydrological, biogeochemical, and ecological processes that can influence mercury (Hg) cycling. Although timber harvest’s influence on aqueous Hg transformation and transport are well studied, the effects on Hg bioaccumulation are not. We evaluated Hg bioaccumulation, biomagnification, and food web structure in 10 paired catchments that were either clear-cut in their entirety, clear-cut except for an 8-m wide riparian buffer, or left unharvested. Average mercury concentrations in aquatic biota from clear-cut catchments were 50% higher than in reference catchments and 165% higher than in catchments with a riparian buffer. Mercury concentrations in aquatic invertebrates and salamanders were not correlated with aqueous THg or MeHg concentrations, but rather treatment effects appeared to correspond with differences in the utilization of terrestrial and aquatic basal resources in the stream food webs. Carbon and nitrogen isotope data suggest that a diminished shredder niche in the clear-cut catchments contributed to lower basal resource diversity compared with the reference of buffered treatments, and that elevated Hg concentrations in the clear-cut catchments reflect an increased reliance on aquatic resources in clear-cut catchments. In contrast, catchments with riparian buffers had higher basal resource diversity than the reference catchments, indicative of more balanced utilization of terrestrial and aquatic resources. Further, following timber harvest THg concentrations in riparian songbirds were elevated, suggesting an influence of timber harvest on Hg export to riparian food webs. These data, coupled with comparisons of individual feeding guilds, indicate that changes in organic matter sources and associated effects on stream food web structure are important mechanisms by which timber harvest modifies Hg bioaccumulation in headwater streams and riparian consumers.","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2019.07.025","usgsCitation":"Willacker, J., Eagles-Smith, C.A., Kowalski, B., Danehy, R.J., Jackson, A., Adams, E.M., Evers, D.C., Eckley, C.S., Tate, M., and Krabbenhoft, D.P., 2019, Timber harvest alters mercury bioaccumulation and food web structure in headwater streams: Environmental Pollution, v. 253, p. 636-645, https://doi.org/10.1016/j.envpol.2019.07.025.","productDescription":"10 p.","startPage":"636","endPage":"645","ipdsId":"IP-101103","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":467474,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6799996","text":"External Repository"},{"id":437394,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P962P2D7","text":"USGS data release","linkHelpText":"Trask River Watershed Study Area Forestry Bioaccumulation Dataset, 2011-2015"},{"id":365398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Trask Watershed Study Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.73146057128905,\n              45.41821440055197\n            ],\n            [\n              -123.58245849609375,\n              45.41821440055197\n            ],\n            [\n              -123.58245849609375,\n              45.46735442822481\n            ],\n            [\n              -123.73146057128905,\n              45.46735442822481\n            ],\n            [\n              -123.73146057128905,\n              45.41821440055197\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"253","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Willacker, James 0000-0002-6286-5224","orcid":"https://orcid.org/0000-0002-6286-5224","contributorId":207883,"corporation":false,"usgs":true,"family":"Willacker","given":"James","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":765773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":765772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kowalski, Brandon M","contributorId":193503,"corporation":false,"usgs":false,"family":"Kowalski","given":"Brandon M","affiliations":[],"preferred":false,"id":765774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danehy, Robert J","contributorId":216850,"corporation":false,"usgs":false,"family":"Danehy","given":"Robert","email":"","middleInitial":"J","affiliations":[{"id":39532,"text":"Catchment Aquatic Ecology","active":true,"usgs":false}],"preferred":false,"id":765775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, Allyson K.","contributorId":156248,"corporation":false,"usgs":false,"family":"Jackson","given":"Allyson K.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":765776,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, Evan M.","contributorId":139994,"corporation":false,"usgs":false,"family":"Adams","given":"Evan","email":"","middleInitial":"M.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":765777,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Evers, David C.","contributorId":96160,"corporation":false,"usgs":false,"family":"Evers","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":765778,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eckley, Chris S.","contributorId":167256,"corporation":false,"usgs":false,"family":"Eckley","given":"Chris","email":"","middleInitial":"S.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":765779,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765780,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":765781,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70223303,"text":"70223303 - 2019 - Replicated landscape genomics identifies evidence of local adaptation to urbanization in wood frogs","interactions":[],"lastModifiedDate":"2021-08-20T13:12:45.82809","indexId":"70223303","displayToPublicDate":"2019-07-06T08:05:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"title":"Replicated landscape genomics identifies evidence of local adaptation to urbanization in wood frogs","docAbstract":"<p class=\"chapter-para\">Native species that persist in urban environments may benefit from local adaptation to novel selection factors. We used double-digest restriction-side associated DNA (RAD) sequencing to evaluate shifts in genome-wide genetic diversity and investigate the presence of parallel evolution associated with urban-specific selection factors in wood frogs (<i>Lithobates sylvaticus</i>). Our replicated paired study design involved 12 individuals from each of 4 rural and urban populations to improve our confidence that detected signals of selection are indeed associated with urbanization. Genetic diversity measures were less for urban populations; however, the effect size was small, suggesting little biological consequence. Using an<span>&nbsp;</span><i>F</i><sub>ST</sub><span>&nbsp;</span>outlier approach, we identified 37 of 8344 genotyped single nucleotide polymorphisms with consistent evidence of directional selection across replicates. A genome-wide association study analysis detected modest support for an association between environment type and 12 of the 37<span>&nbsp;</span><i>F</i><sub>ST</sub><span>&nbsp;</span>outlier loci. Discriminant analysis of principal components using the 37<span>&nbsp;</span><i>F</i><sub>ST</sub><span>&nbsp;</span>outlier loci produced correct reassignment for 87.5% of rural samples and 93.8% of urban samples. Eighteen of the 37<span>&nbsp;</span><i>F</i><sub>ST</sub><span>&nbsp;</span>outlier loci mapped to the American bullfrog (<i>Rana [Lithobates] catesbeiana</i>) genome, although none were in coding regions. This evidence of parallel evolution to urban environments provides a powerful example of the ability of urban landscapes to direct evolutionary processes.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jhered/esz041","usgsCitation":"Loftin, C., Homola, J.J., Cammen, K.M., Helbing, C., Birol, I., Schultz, T.F., and Kinnison, M., 2019, Replicated landscape genomics identifies evidence of local adaptation to urbanization in wood frogs: Journal of Heredity, v. 110, no. 6, p. 707-719, https://doi.org/10.1093/jhered/esz041.","productDescription":"13 p.","startPage":"707","endPage":"719","ipdsId":"IP-101743","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467476,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jhered/esz041","text":"Publisher Index Page"},{"id":388224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.026611328125,\n              43.16512263158296\n            ],\n            [\n              -67.24731445312499,\n              43.16512263158296\n            ],\n            [\n              -67.24731445312499,\n              45.251688256117646\n            ],\n            [\n              -71.026611328125,\n              45.251688256117646\n            ],\n            [\n              -71.026611328125,\n              43.16512263158296\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"110","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-07-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":821658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homola, Jared J.","contributorId":264547,"corporation":false,"usgs":false,"family":"Homola","given":"Jared","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":821659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cammen, Kristina M.","contributorId":264549,"corporation":false,"usgs":false,"family":"Cammen","given":"Kristina","email":"","middleInitial":"M.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":821660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helbing, Caren C.","contributorId":264551,"corporation":false,"usgs":false,"family":"Helbing","given":"Caren C.","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":821661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birol, Inanc","contributorId":264553,"corporation":false,"usgs":false,"family":"Birol","given":"Inanc","email":"","affiliations":[{"id":54495,"text":"British Columbia Cancer Agency","active":true,"usgs":false}],"preferred":false,"id":821662,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schultz, Thomas F.","contributorId":264554,"corporation":false,"usgs":false,"family":"Schultz","given":"Thomas","email":"","middleInitial":"F.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":821663,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kinnison, Michael T.","contributorId":264555,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":821664,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70209643,"text":"70209643 - 2019 - The influence of foreland structures on hinterland cooling: evaluating the drivers of exhumation in the eastern Bhutan Himalaya","interactions":[],"lastModifiedDate":"2020-04-17T11:59:30.793732","indexId":"70209643","displayToPublicDate":"2019-07-06T06:54:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"The influence of foreland structures on hinterland cooling: evaluating the drivers of exhumation in the eastern Bhutan Himalaya","docAbstract":"Understanding, and ideally quantifying, the relative roles of climatic and tectonic processes during orogenic exhumation is critical to resolving the dynamics of mountain building. However, vastly differing opinions regarding proposed drivers often complicate how thermochronometric ages are interpreted, particularly from the hinterland portions of thrust belts. Here we integrate three possible cross section geometries and kinematics along a transect through the eastern Bhutan Himalaya with a thermal model (Pecube-D) to calculate the resulting thermal field and predict potential ages. We compare predicted ages to a suite of new and published cooling ages. Our results argue for ramp-focused exhumation of the Main Central Thrust (MCT) from 16 to 14 Ma at shortening rates of 40-55 mm/yr, followed by slower rates (25 mm/yr) during the last 50 km of MCT displacement and growth of the Lesser Himalayan (LH) duplex from 14-11 Ma. Emplacement of frontal LH thrust sheets occurred rapidly (55-70 mm/yr) between ~11 and 9 Ma, followed by a decrease in shortening rates to ~10 mm/yr during motion on the Main Boundary Thrust (MBT). Modern shortening rates (17 mm/yr) and out-of-sequence motion on the MBT from 0.5 Ma to present reproduce the young cooling ages near the MBT. We show that the dominant control on exhumation patterns in a fold-thrust belt results from the evolution of ramps and emphasize that the geometry and kinematics of structures driving hinterland exhumation need to be evaluated with their linked foreland structures to ensure the viability of the proposed geometry, kinematics and thus cooling history.","language":"English","publisher":"Wiley","doi":"10.1029/2018TC005340","collaboration":"","usgsCitation":"McQuarrie, N., Eizenhofer, P.R., Long, S.P., Tobgay, T., Ehlers, T.A., Blythe, A., Morgan, L.E., Gilmore, M., and Dering, G.M., 2019, The influence of foreland structures on hinterland cooling: evaluating the drivers of exhumation in the eastern Bhutan Himalaya: Tectonics, v. 38, no. 9, p. 3282-3310, https://doi.org/10.1029/2018TC005340.","productDescription":"29 p.","startPage":"3282","endPage":"3310","ipdsId":"IP-102501","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":467477,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018tc005340","text":"Publisher Index Page"},{"id":437395,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CLDHOQ","text":"USGS data release","linkHelpText":"Argon geochronology data for eastern Bhutan"},{"id":374078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bhutan","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[91.69666,27.77174],[92.10371,27.45261],[92.03348,26.83831],[91.21751,26.80865],[90.37327,26.87572],[89.74453,26.7194],[88.83564,27.09897],[88.81425,27.29932],[89.47581,28.04276],[90.01583,28.29644],[90.73051,28.06495],[91.25885,28.04061],[91.69666,27.77174]]]},\"properties\":{\"name\":\"Bhutan\"}}]}","volume":"38","issue":"9","noUsgsAuthors":false,"publicationDate":"2019-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"McQuarrie, Nadine","contributorId":193432,"corporation":false,"usgs":false,"family":"McQuarrie","given":"Nadine","email":"","affiliations":[],"preferred":false,"id":787343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eizenhofer, Paul R.","contributorId":224209,"corporation":false,"usgs":false,"family":"Eizenhofer","given":"Paul","email":"","middleInitial":"R.","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":787344,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Sean P.","contributorId":193434,"corporation":false,"usgs":false,"family":"Long","given":"Sean","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":787345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tobgay, Tobgay","contributorId":193433,"corporation":false,"usgs":false,"family":"Tobgay","given":"Tobgay","email":"","affiliations":[],"preferred":false,"id":787346,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ehlers, Todd A.","contributorId":206718,"corporation":false,"usgs":false,"family":"Ehlers","given":"Todd","email":"","middleInitial":"A.","affiliations":[{"id":37382,"text":"University of Tübingen","active":true,"usgs":false}],"preferred":false,"id":787347,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blythe, Ann","contributorId":224210,"corporation":false,"usgs":false,"family":"Blythe","given":"Ann","email":"","affiliations":[{"id":36913,"text":"Occidental College","active":true,"usgs":false}],"preferred":false,"id":787348,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":787349,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gilmore, Michelle","contributorId":224211,"corporation":false,"usgs":false,"family":"Gilmore","given":"Michelle","email":"","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":787350,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dering, Gregory M.","contributorId":213188,"corporation":false,"usgs":false,"family":"Dering","given":"Gregory","email":"","middleInitial":"M.","affiliations":[{"id":38377,"text":"University of Nevada, Reno, Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":787351,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70204159,"text":"70204159 - 2019 - Lidar-based approaches for estimating solar insolation in heavily forested streams","interactions":[],"lastModifiedDate":"2019-07-09T14:23:28","indexId":"70204159","displayToPublicDate":"2019-07-05T14:21:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Lidar-based approaches for estimating solar insolation in heavily forested streams","docAbstract":"<div id=\"abstract\" class=\"abstract sec\"><div class=\"abstract-content show-no-js grid-container\"><p id=\"d1e115\">Methods to quantify solar insolation in riparian landscapes are needed due to the importance of stream temperature to aquatic biota. We have tested three lidar predictors using two approaches developed for other applications of estimating solar insolation from airborne lidar using field data collected in a heavily forested narrow stream in western Oregon, USA. We show that a raster methodology based on the light penetration index (LPI) and a synthetic hemispherical photograph approach both accurately predict solar insolation, explaining more than 73 % of the variability observed in pyranometers placed in the stream channel. We apply the LPI-based model to predict solar insolation for an entire riparian system and demonstrate that no field-based calibration is necessary to produce an unbiased prediction of solar insolation using airborne lidar alone.</p></div></div>","language":"English","publisher":"Copernicus Publications","doi":"10.5194/hess-23-2813-2019","usgsCitation":"Richardson, J.J., Torgersen, C.E., and Moskal, L.M., 2019, Lidar-based approaches for estimating solar insolation in heavily forested streams: Hydrology and Earth System Sciences, v. 23, p. 2813-2822, https://doi.org/10.5194/hess-23-2813-2019.","productDescription":"10 p.","startPage":"2813","endPage":"2822","ipdsId":"IP-098081","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":467478,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-23-2813-2019","text":"Publisher Index Page"},{"id":365390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.541015625,\n              41.705728515237524\n            ],\n            [\n              -117.7734375,\n              41.705728515237524\n            ],\n            [\n              -117.7734375,\n              46.70973594407157\n            ],\n            [\n              -124.541015625,\n              46.70973594407157\n            ],\n            [\n              -124.541015625,\n              41.705728515237524\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Richardson, Jeffrey J","contributorId":216842,"corporation":false,"usgs":false,"family":"Richardson","given":"Jeffrey","email":"","middleInitial":"J","affiliations":[{"id":39529,"text":"Sterling College","active":true,"usgs":false}],"preferred":false,"id":765755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":765756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moskal, L Monika","contributorId":216843,"corporation":false,"usgs":false,"family":"Moskal","given":"L","email":"","middleInitial":"Monika","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":765757,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204670,"text":"70204670 - 2019 - Are polar bear habitat resource selection functions developed from 1985-1996 data still useful?","interactions":[],"lastModifiedDate":"2019-08-09T10:19:26","indexId":"70204670","displayToPublicDate":"2019-07-04T13:02:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Are polar bear habitat resource selection functions developed from 1985-1996 data still useful?","docAbstract":"1.\tGreenhouse gas-induced warming in the Arctic has caused declines in sea ice extent and changed its composition, raising concerns by all circumpolar nations for polar bear conservation.\n2.\tNegative impacts have been observed in three well-studied polar bear subpopulations.  Most subpopulations, however, receive little or no direct monitoring, hence, resource selection functions (RSF) may provide a useful proxy of polar bear distributions.  However, the efficacy of RSFs constructed from past data, i.e., reference RSFs, may be degraded under contemporary conditions, especially in a rapidly changing environment.\n3.\tWe assessed published Arctic-wide reference RSFs using tracking data from adult female polar bears captured in the Beaufort Sea.  We compared telemetry-derived seasonal distributions of polar bears to RSF-defined optimal sea ice habitat during the period of RSF model development, 1985–1995, and two subsequent periods with diminished sea ice: 1996–2006 and 2007–2016.  From these comparisons, we assessed the applicability of the reference RSFs for contemporary polar bear conservation.\n4.\tIn the two decades following the 1985–1995 reference period, use and availability of optimal habitat by polar bears declined during the ice melt, ice minimum and ice growth seasons.  During the ice maximum season (i.e., winter), polar bears used the best habitat available, which changed relatively little across the three decades of study.  During the ice melt, ice minimum and ice growth seasons, optimal habitat in areas used by polar bears decreased and was displaced north and east of the Alaska Beaufort Sea coast.  As optimal habitat diminished in these seasons, polar bears expanded their range and occupied greater areas of sub-optimal habitat.  \n5.\tSynthesis and applications:  Sea ice declines due to climate change continue to challenge polar bears and their conservation.  The distribution of Southern Beaufort Sea polar bears remained similar during the ice maximum season, so the reference RSFs developed from data collected >20 years ago continue to accurately model their winter distribution.  In contrast, reference RSFs for the ice transitional and minimum seasons showed diminished predictive efficacy but were useful in revealing that contemporary polar bears have been increasingly forced to use sub-optimal habitats during those seasons.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5401","usgsCitation":"Durner, G.M., Douglas, D., and Atwood, T.C., 2019, Are polar bear habitat resource selection functions developed from 1985-1996 data still useful?: Ecology and Evolution, v. 9, no. 15, p. 8625-8638, https://doi.org/10.1002/ece3.5401.","productDescription":"14 p.","startPage":"8625","endPage":"8638","ipdsId":"IP-102131","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":467479,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5401","text":"Publisher Index Page"},{"id":437396,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZRJ3XU","text":"USGS data release","linkHelpText":"Polar Bear Distribution and Habitat Resource Selection Data, Beaufort and Chukchi Seas, 1985-2016"},{"id":366392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"15","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":768015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":768016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":768017,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204229,"text":"70204229 - 2019 - Long-term (1986–2015) crop water use characterization over the Upper Rio Grande Basin of United States and Mexico using Landsat-based evapotranspiration","interactions":[],"lastModifiedDate":"2019-07-15T10:50:05","indexId":"70204229","displayToPublicDate":"2019-07-04T10:36:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Long-term (1986–2015) crop water use characterization over the Upper Rio Grande Basin of United States and Mexico using Landsat-based evapotranspiration","docAbstract":"The evaluation of historical water use in the Upper Rio Grande Basin (URGB), United States and Mexico, using Landsat-derived actual evapotranspiration (ETa) from 1986 to 2015 is presented here as the first study of its kind to apply satellite observations to quantify long-term, basin-wide crop consumptive use in a large basin. The rich archive of Landsat imagery combined with the Operational Simplified Surface Energy Balance (SSEBop) model was used to estimate and map ETa across the basin and over irrigated fields for historical characterization of water-use dynamics. Monthly ETa estimates were evaluated using six eddy-covariance (EC) flux towers showing strong correspondence (r2 > 0.80) with reasonable error rates (root mean square error between 6 and 19 mm/month). Detailed spatiotemporal analysis using peak growing season (June–August) ETa over irrigated areas revealed declining regional crop water-use patterns throughout the basin, a trend reinforced through comparisons with gridded ETa from the Max Planck Institute (MPI). The interrelationships among seven agro-hydroclimatic variables (ETa, Normalized Difference Vegetation Index (NDVI), land surface temperature (LST), maximum air temperature (Ta), potential ET (ETo), precipitation, and runoff) are all summarized to support the assessment and context of historical water-use dynamics over 30 years in the URGB.","language":"English","publisher":"MDPI","doi":"10.3390/rs11131587","usgsCitation":"Senay, G., Schauer, M., Velpuri, N., Singh, R., Kagone, S., Friedrichs, M., Litvak, M., and Douglas-Mankin, K., 2019, Long-term (1986–2015) crop water use characterization over the Upper Rio Grande Basin of United States and Mexico using Landsat-based evapotranspiration: Remote Sensing, v. 11, no. 13, 1587, 25 p., https://doi.org/10.3390/rs11131587.","productDescription":"1587, 25 p.","ipdsId":"IP-106097","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":467480,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11131587","text":"Publisher Index Page"},{"id":437397,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KOPFQ9","text":"USGS data release","linkHelpText":"Long-term (1986 -2015) Crop Water Use Characterization over the Upper Rio Grande Basin using Landsat-based Evapotranspiration"},{"id":365541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Colorado, New Mexico, Texas","otherGeospatial":"Upper Rio Grande Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.32568359375,\n              30.44867367928756\n            ],\n            [\n              -104.7216796875,\n              30.86451022625836\n            ],\n            [\n              -106.171875,\n              32.41706632846282\n            ],\n            [\n              -105.77636718749999,\n              35.33529320309328\n            ],\n            [\n              -104.52392578125,\n              35.71083783530009\n            ],\n            [\n              -104.12841796875,\n              36.87962060502676\n            ],\n            [\n              -104.765625,\n              38.496593518947584\n            ],\n            [\n              -106.80908203125,\n              37.70120736474139\n            ],\n            [\n              -106.14990234375,\n              36.527294814546245\n            ],\n            [\n              -107.77587890625,\n              34.397844946449865\n            ],\n            [\n              -107.81982421874999,\n              32.41706632846282\n            ],\n            [\n              -106.435546875,\n              31.297327991404266\n            ],\n            [\n              -106.32568359375,\n              30.44867367928756\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"13","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Senay, Gabriel 0000-0002-8810-8539","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":216910,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":766090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schauer, Matthew 0000-0002-4198-3379","orcid":"https://orcid.org/0000-0002-4198-3379","contributorId":216909,"corporation":false,"usgs":true,"family":"Schauer","given":"Matthew","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":766089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Velpuri, Naga Manohar  0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":216911,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga Manohar ","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":766091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singh, Ramesh  0000-0002-8164-3483","orcid":"https://orcid.org/0000-0002-8164-3483","contributorId":216912,"corporation":false,"usgs":false,"family":"Singh","given":"Ramesh ","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":766092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":216913,"corporation":false,"usgs":true,"family":"Kagone","given":"Stefanie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":766093,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friedrichs, MacKenzie 0000-0002-9602-321X","orcid":"https://orcid.org/0000-0002-9602-321X","contributorId":216914,"corporation":false,"usgs":true,"family":"Friedrichs","given":"MacKenzie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":766094,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Litvak, Marcy","contributorId":216915,"corporation":false,"usgs":false,"family":"Litvak","given":"Marcy","affiliations":[{"id":39549,"text":"University of New Mexico: Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":766095,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Douglas-Mankin, Kyle R. 0000-0002-3155-3666","orcid":"https://orcid.org/0000-0002-3155-3666","contributorId":216916,"corporation":false,"usgs":false,"family":"Douglas-Mankin","given":"Kyle R.","affiliations":[{"id":39550,"text":"U.S. Department of Agriculture, Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":766096,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70219595,"text":"70219595 - 2019 - Corrigendum to “Intercomparison of surface energy fluxes, soil moisture, and evapotranspiration from eddy covariance, large-aperture scintillometer, and modeling across three ecosystems in a semiarid climate” [Agric. For. Meteorol. 248 (2018) 22–47]","interactions":[],"lastModifiedDate":"2021-04-15T12:39:11.410134","indexId":"70219595","displayToPublicDate":"2019-07-04T07:38:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Corrigendum to “Intercomparison of surface energy fluxes, soil moisture, and evapotranspiration from eddy covariance, large-aperture scintillometer, and modeling across three ecosystems in a semiarid climate” [Agric. For. Meteorol. 248 (2018) 22–47]","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2019.107646","usgsCitation":"Valayamkunnath, P., Sridhar, V., Zhao, W., Allen, R.G., and Germino, M., 2019, Corrigendum to “Intercomparison of surface energy fluxes, soil moisture, and evapotranspiration from eddy covariance, large-aperture scintillometer, and modeling across three ecosystems in a semiarid climate” [Agric. For. Meteorol. 248 (2018) 22–47]: Agricultural and Forest Meteorology, v. 278, 107646, 1 p., https://doi.org/10.1016/j.agrformet.2019.107646.","productDescription":"107646, 1 p.","ipdsId":"IP-108884","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":385117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"278","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Valayamkunnath, Prasanth","contributorId":216799,"corporation":false,"usgs":false,"family":"Valayamkunnath","given":"Prasanth","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":814269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sridhar, Venkataramana","contributorId":216800,"corporation":false,"usgs":false,"family":"Sridhar","given":"Venkataramana","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":814270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhao, Wenguang","contributorId":195243,"corporation":false,"usgs":false,"family":"Zhao","given":"Wenguang","email":"","affiliations":[],"preferred":false,"id":814271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Richard G","contributorId":216801,"corporation":false,"usgs":false,"family":"Allen","given":"Richard","email":"","middleInitial":"G","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":814272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":814273,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204525,"text":"70204525 - 2019 - Locating shallow seismic sources with waves scattered by surface topography: Validation of the method at the Nevada Test Site","interactions":[],"lastModifiedDate":"2019-08-29T12:00:01","indexId":"70204525","displayToPublicDate":"2019-07-03T16:32:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Locating shallow seismic sources with waves scattered by surface topography: Validation of the method at the Nevada Test Site","docAbstract":"Accurate and robust source location is fundamental in seismology. Previously, we proposed a new full waveform location method using waves scattered by topography near the source, and we demonstrated its potential in obtaining accurate source location using synthetic data. In the work presented here, we validate this method with observed seismic data from the 1993 Non-Proliferation Experiment, a chemical explosion with a precisely known location in a region with moderate topography at the  Nevada Test Site. We select the first arrivals (Pn/Pg) and their immediate codas to determine the source location and compare our solution with the known location. We use a collocated-grid finite-difference method to calculate the strain Green’s tensor in a grid-search volume containing the source, and obtain three-component synthetic waveforms at 12 broadband seismic stations at regional distances using source-receiver reciprocity. We assess the solution using a least-squares misfit between the observed and synthetic waveforms. When scattered coda waves are incorporated, the best solution is within a few hundreds of meters of the exact source location, and the estimated uncertainty of the solution is reduced compared to the waveform based solution using only the P waves. The solution is robust to the choice of the frequency content and to the addition of random velocity heterogeneity. We conclude that the full waveform source location method is effective for real seismic data, though more validation tests like this one are needed to further understand its efficacy for source-station geometry, roughness of topography, signal quality and other factors.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB017291","usgsCitation":"Wang, N., Shen, Y., Bao, X., and Flinders, A.F., 2019, Locating shallow seismic sources with waves scattered by surface topography: Validation of the method at the Nevada Test Site: Journal of Geophysical Research B: Solid Earth, v. 124, no. 7, p. 7040-7051, https://doi.org/10.1029/2018JB017291.","productDescription":"12 p.","startPage":"7040","endPage":"7051","ipdsId":"IP-091427","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467481,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://digitalcommons.uri.edu/gsofacpubs/2376","text":"Publisher Index Page"},{"id":366058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-114.042145,40.999926],[-114.043176,40.771675],[-114.043803,40.759205],[-114.043831,40.758666],[-114.043505,40.726292],[-114.045281,40.506586],[-114.045577,40.495801],[-114.045518,40.494474],[-114.045218,40.430282],[-114.045826,40.424823],[-114.046178,40.398313],[-114.046153,40.231971],[-114.046683,40.116931],[-114.046741,40.104231],[-114.046386,40.097896],[-114.046835,40.030131],[-114.046555,39.996899],[-114.047134,39.906037],[-114.047214,39.821024],[-114.047783,39.79416],[-114.047273,39.759413],[-114.047728,39.542742],[-114.047079,39.499943],[-114.049104,39.005509],[-114.048054,38.878693],[-114.048521,38.876197],[-114.049465,38.874949],[-114.049168,38.749951],[-114.049749,38.72921],[-114.049883,38.677365],[-114.050154,38.57292],[-114.049862,38.547764],[-114.049834,38.543784],[-114.050485,38.499955],[-114.050091,38.404673],[-114.05012,38.404536],[-114.049417,38.2647],[-114.050138,38.24996],[-114.049903,38.148601],[-114.050423,37.999961],[-114.049658,37.881368],[-114.049928,37.852508],[-114.049677,37.823645],[-114.048473,37.809861],[-114.049919,37.765586],[-114.051109,37.756276],[-114.05167,37.746958],[-114.051785,37.746249],[-114.051728,37.745997],[-114.052472,37.604776],[-114.052962,37.592783],[-114.052689,37.517859],[-114.052718,37.517264],[-114.052685,37.502513],[-114.052701,37.492014],[-114.052448,37.43144],[-114.051765,37.418083],[-114.051927,37.370734],[-114.051927,37.370459],[-114.0518,37.293548],[-114.0518,37.293044],[-114.051974,37.284511],[-114.051974,37.283848],[-114.051405,37.233854],[-114.051673,37.172368],[-114.052179,37.14711],[-114.051867,37.134292],[-114.052827,37.103961],[-114.051822,37.090976],[-114.051749,37.088434],[-114.0506,37.000396],[-114.049995,36.957769],[-114.050619,36.843141],[-114.050619,36.843128],[-114.050606,36.800184],[-114.050562,36.656259],[-114.050167,36.624978],[-114.04966,36.621113],[-114.048476,36.49998],[-114.046488,36.473449],[-114.045829,36.442973],[-114.045806,36.391071],[-114.047584,36.325573],[-114.046935,36.315449],[-114.048515,36.289598],[-114.048226,36.268874],[-114.047106,36.250591],[-114.046743,36.245246],[-114.046838,36.194069],[-114.060302,36.189363],[-114.068027,36.180663],[-114.088954,36.144381],[-114.09987,36.121654],[-114.103222,36.120176],[-114.111011,36.119875],[-114.120862,36.114596],[-114.123144,36.111576],[-114.123975,36.106515],[-114.123221,36.104746],[-114.117459,36.100893],[-114.114165,36.096982],[-114.114531,36.095217],[-114.136896,36.059467],[-114.138203,36.053161],[-114.137188,36.046785],[-114.138202,36.041284],[-114.148191,36.028013],[-114.151725,36.024563],[-114.15413,36.023862],[-114.166465,36.027738],[-114.176824,36.027651],[-114.19238,36.020993],[-114.21369,36.015613],[-114.233289,36.014289],[-114.238799,36.014561],[-114.252651,36.020193],[-114.263146,36.025937],[-114.266721,36.029238],[-114.270645,36.03572],[-114.280202,36.046362],[-114.314028,36.058165],[-114.315557,36.059494],[-114.316109,36.063109],[-114.314206,36.066619],[-114.307879,36.071291],[-114.305738,36.074882],[-114.30843,36.082443],[-114.328777,36.105501],[-114.337273,36.10802],[-114.363109,36.130246],[-114.372106,36.143114],[-114.405475,36.147371],[-114.412373,36.147254],[-114.41695,36.145761],[-114.427169,36.136305],[-114.446605,36.12597],[-114.448654,36.12641],[-114.453325,36.130726],[-114.458369,36.138586],[-114.463637,36.139695],[-114.470152,36.138801],[-114.487034,36.129396],[-114.49612,36.12785],[-114.502172,36.128796],[-114.504442,36.129741],[-114.505766,36.131444],[-114.506144,36.134659],[-114.505387,36.137496],[-114.50482,36.142414],[-114.504631,36.145629],[-114.506711,36.148277],[-114.511721,36.150956],[-114.545789,36.152248],[-114.572031,36.15161],[-114.597212,36.142103],[-114.608264,36.133949],[-114.616694,36.130101],[-114.621883,36.13213],[-114.627855,36.141012],[-114.631716,36.142306],[-114.65995,36.124145],[-114.66289,36.119932],[-114.666538,36.117343],[-114.709771,36.107742],[-114.717293,36.107686],[-114.736165,36.104367],[-114.747079,36.097005],[-114.753638,36.090705],[-114.755618,36.087166],[-114.755491,36.081601],[-114.754099,36.07944],[-114.743342,36.070535],[-114.736253,36.05847],[-114.736738,36.054349],[-114.740375,36.049258],[-114.740375,36.043682],[-114.740617,36.041015],[-114.739405,36.037863],[-114.734314,36.035681],[-114.730435,36.031317],[-114.729707,36.028166],[-114.731162,36.021862],[-114.740522,36.013336],[-114.742779,36.009963],[-114.743243,36.00653],[-114.743756,35.985095],[-114.740595,35.975656],[-114.729941,35.962183],[-114.728318,35.95629],[-114.731159,35.943916],[-114.729356,35.941413],[-114.715692,35.934709],[-114.707526,35.92806],[-114.708516,35.912313],[-114.700271,35.901772],[-114.68112,35.885364],[-114.679039,35.880046],[-114.677883,35.876346],[-114.67742,35.874728],[-114.678114,35.871953],[-114.679501,35.868023],[-114.68201,35.863284],[-114.697767,35.854844],[-114.699848,35.84837],[-114.699848,35.843283],[-114.69641,35.833784],[-114.69571,35.830601],[-114.70371,35.814585],[-114.70991,35.810185],[-114.71211,35.806185],[-114.69891,35.790185],[-114.701409,35.769086],[-114.695709,35.755986],[-114.697309,35.733686],[-114.705309,35.711587],[-114.705409,35.708287],[-114.701208,35.701187],[-114.694108,35.695187],[-114.683208,35.689387],[-114.680607,35.685488],[-114.682207,35.678188],[-114.690008,35.664688],[-114.689407,35.651412],[-114.677107,35.641489],[-114.658206,35.619089],[-114.653406,35.610789],[-114.654306,35.59759],[-114.659606,35.58749],[-114.665649,35.580428],[-114.666184,35.577576],[-114.663005,35.56369],[-114.662005,35.545491],[-114.660205,35.539291],[-114.657405,35.536391],[-114.656905,35.534391],[-114.658005,35.530491],[-114.663105,35.524491],[-114.673805,35.517891],[-114.677205,35.513491],[-114.679205,35.499992],[-114.677643,35.489742],[-114.672901,35.481708],[-114.666377,35.466856],[-114.6645,35.449497],[-114.662125,35.444241],[-114.652005,35.429165],[-114.627137,35.409504],[-114.611435,35.369056],[-114.604314,35.353584],[-114.595931,35.325234],[-114.597503,35.296954],[-114.587129,35.262376],[-114.583111,35.23809],[-114.583559,35.22993],[-114.579963,35.20964],[-114.574835,35.205898],[-114.572119,35.200591],[-114.569238,35.18348],[-114.569569,35.163053],[-114.572747,35.138725],[-114.578524,35.12875],[-114.58774,35.123729],[-114.59912,35.12105],[-114.619905,35.121632],[-114.629934,35.118272],[-114.644352,35.105904],[-114.646759,35.101872],[-114.642831,35.096503],[-114.622517,35.088703],[-114.613132,35.083097],[-114.604736,35.07483],[-114.602908,35.068588],[-114.603619,35.064226],[-114.606694,35.058941],[-114.627124,35.044721],[-114.632429,35.037586],[-114.636893,35.028367],[-114.638023,35.020556],[-114.636674,35.008807],[-114.633013,35.002085],[-114.804249,35.139689],[-114.80503,35.140284],[-114.925381,35.237039],[-114.92548,35.237054],[-114.942216,35.249994],[-115.043812,35.332012],[-115.098018,35.37499],[-115.102881,35.379371],[-115.125816,35.39694],[-115.145813,35.413182],[-115.146788,35.413662],[-115.160068,35.424129],[-115.160599,35.424313],[-115.225273,35.475907],[-115.271342,35.51266],[-115.303743,35.538207],[-115.388866,35.605171],[-115.391535,35.607271],[-115.393996,35.609344],[-115.404537,35.617605],[-115.406079,35.618613],[-115.412908,35.624981],[-115.500832,35.693382],[-115.625838,35.792013],[-115.627386,35.793846],[-115.647202,35.808995],[-115.647683,35.809358],[-115.64802,35.809629],[-115.669005,35.826515],[-115.689302,35.842003],[-115.750844,35.889287],[-115.845984,35.964207],[-115.852908,35.96966],[-115.892975,35.999967],[-115.912858,36.015359],[-116.093601,36.155805],[-116.097216,36.158346],[-116.250869,36.276979],[-116.375875,36.372562],[-116.38034,36.374955],[-116.488233,36.459097],[-116.500882,36.468223],[-116.541983,36.499952],[-117.000895,36.847694],[-117.066728,36.896354],[-117.131975,36.945777],[-117.166,36.971224],[-117.244917,37.030244],[-117.266046,37.04491],[-117.375905,37.126843],[-117.500117,37.22038],[-117.500909,37.220282],[-117.540885,37.249931],[-117.581418,37.278936],[-117.68061,37.353399],[-117.712358,37.374931],[-117.832726,37.464929],[-117.875927,37.497267],[-117.904625,37.515836],[-117.975776,37.569293],[-118.039849,37.615245],[-118.039798,37.615273],[-118.052189,37.62493],[-118.250947,37.768616],[-118.4278,37.89623],[-118.500958,37.949019],[-118.571958,37.99993],[-118.62159,38.034389],[-118.714312,38.102185],[-118.746598,38.124926],[-118.771867,38.141871],[-118.859087,38.204808],[-118.922518,38.249919],[-118.949673,38.26894],[-119.000975,38.303675],[-119.030078,38.325181],[-119.082358,38.361267],[-119.097161,38.372853],[-119.125982,38.39317],[-119.156983,38.414739],[-119.234966,38.468997],[-119.250988,38.48078],[-119.279262,38.499914],[-119.328411,38.534773],[-119.333423,38.538328],[-119.370117,38.563281],[-119.375994,38.566793],[-119.450623,38.619965],[-119.450612,38.619964],[-119.494022,38.649734],[-119.494183,38.649852],[-119.585437,38.713212],[-119.587066,38.714345],[-119.587679,38.714734],[-119.904315,38.933324],[-120.001014,38.999574],[-120.002461,39.067489],[-120.003402,39.112687],[-120.004504,39.165599],[-120.005746,39.22521],[-120.005743,39.228664],[-120.005142,39.291258],[-120.005414,39.313345],[-120.005413,39.313848],[-120.00532,39.31635],[-120.005316,39.316453],[-120.00471,39.330488],[-120.00443,39.374908],[-120.003117,39.445044],[-120.003116,39.445113],[-120.00174,39.538852],[-120.001319,39.722416],[-120.001319,39.72242],[-120.000502,39.779956],[-120.000607,39.780779],[-119.999733,39.851406],[-119.997634,39.956505],[-119.997291,40.071803],[-119.997175,40.077245],[-119.997234,40.091591],[-119.997124,40.126363],[-119.996183,40.262461],[-119.996182,40.263532],[-119.996155,40.32125],[-119.996155,40.321838],[-119.995926,40.499901],[-119.997533,40.720992],[-119.998479,40.749899],[-119.999231,40.865899],[-119.999232,40.867454],[-119.999358,40.873101],[-119.999866,41.183974],[-119.999471,41.499894],[-119.99828,41.618765],[-119.998855,41.624893],[-119.998287,41.749892],[-119.999276,41.874891],[-119.999168,41.99454],[-119.986678,41.995842],[-119.876054,41.997199],[-119.872929,41.997641],[-119.848907,41.997281],[-119.790087,41.997544],[-119.72573,41.996296],[-119.444598,41.995478],[-119.360177,41.994384],[-119.324181,41.994206],[-119.251033,41.993843],[-119.231876,41.994212],[-119.20828,41.993177],[-119.001022,41.993793],[-118.795612,41.992394],[-118.777228,41.992671],[-118.775869,41.992692],[-118.696409,41.991794],[-118.601806,41.993895],[-118.501002,41.995446],[-118.197189,41.996995],[-117.873467,41.998335],[-117.625973,41.998102],[-117.623731,41.998467],[-117.443062,41.999659],[-117.403613,41.99929],[-117.217551,41.999887],[-117.197798,42.00038],[-117.068613,42.000035],[-117.055402,41.99989],[-117.04891,41.998983],[-117.040906,41.99989],[-117.026222,42.000252],[-117.018294,41.999358],[-117.009255,41.998127],[-116.969156,41.998991],[-116.62677,41.99775],[-116.625947,41.997379],[-116.586937,41.99737],[-116.582217,41.997834],[-116.525319,41.997558],[-116.510452,41.997096],[-116.501741,41.997334],[-116.499777,41.99674],[-116.485823,41.996861],[-116.483094,41.996885],[-116.463528,41.996547],[-116.368478,41.996281],[-116.332763,41.997283],[-116.163931,41.997555],[-116.160833,41.997508],[-116.038602,41.99746],[-116.03857,41.997413],[-116.030754,41.997399],[-116.030758,41.997383],[-116.01896,41.997762],[-116.018945,41.997722],[-116.012219,41.998048],[-116.012212,41.998035],[-115.98688,41.998534],[-115.887612,41.998048],[-115.879596,41.997891],[-115.870181,41.996766],[-115.625914,41.997415],[-115.586849,41.996884],[-115.313877,41.996103],[-115.254333,41.996721],[-115.250795,41.996156],[-115.038256,41.996012],[-115.031783,41.996008],[-114.914187,41.999909],[-114.89921,41.999909],[-114.875877,42.001319],[-114.831077,42.002207],[-114.806384,42.001822],[-114.720715,41.998231],[-114.598267,41.994511],[-114.498259,41.994599],[-114.498243,41.994636],[-114.467581,41.995492],[-114.281855,41.994214],[-114.107428,41.993965],[-114.107259,41.993831],[-114.061763,41.993939],[-114.061774,41.993797],[-114.048257,41.993814],[-114.048246,41.993721],[-114.041723,41.99372],[-114.039648,41.884816],[-114.041107,41.850573],[-114.041152,41.850595],[-114.039901,41.753781],[-114.039968,41.62492],[-114.040437,41.615377],[-114.040942,41.499921],[-114.040231,41.49169],[-114.041396,41.219958],[-114.042553,41.210923],[-114.041447,41.207752],[-114.042145,40.999926]]]},\"properties\":{\"name\":\"Nevada\",\"nation\":\"USA  \"}}]}","volume":"124","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Nian","contributorId":217730,"corporation":false,"usgs":false,"family":"Wang","given":"Nian","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":767392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shen, Yang","contributorId":217731,"corporation":false,"usgs":false,"family":"Shen","given":"Yang","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":767393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bao, Xueyang","contributorId":217732,"corporation":false,"usgs":false,"family":"Bao","given":"Xueyang","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":767394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flinders, Ashton F. 0000-0003-2483-4635 aflinders@usgs.gov","orcid":"https://orcid.org/0000-0003-2483-4635","contributorId":196960,"corporation":false,"usgs":true,"family":"Flinders","given":"Ashton","email":"aflinders@usgs.gov","middleInitial":"F.","affiliations":[{"id":153,"text":"California Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":767391,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208764,"text":"70208764 - 2019 - Inorganic nitrogen wet deposition gradients in the Denver-Boulder metropolitan area and Colorado Front Range – Preliminary implications for Rocky Mountain National Park and interpolated deposition maps","interactions":[],"lastModifiedDate":"2020-02-28T06:27:22","indexId":"70208764","displayToPublicDate":"2019-07-03T06:23:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Inorganic nitrogen wet deposition gradients in the Denver-Boulder metropolitan area and Colorado Front Range – Preliminary implications for Rocky Mountain National Park and interpolated deposition maps","docAbstract":"For the first time in the 40-year history of the National Atmospheric Deposition Program / National Trends Network (NADP/NTN), a unique urban-to-rural transect of wet deposition monitoring stations were operated as part of the NTN in 2017 to quantify reactive inorganic nitrogen wet deposition for adjacent urban and rural, montane regions.  The transect of NADP stations (sites) was used to collect continuous precipitation depth and weekly wet-deposition samples in the Denver – Boulder, Colorado urban corridor.  Gradients in reactive inorganic nitrogen (Nr) concentrations and wet deposition were identified along the transect, which included Rocky Mountain National Park. Back trajectory modeling and stable isotopes suggested contribution of agricultural ammonia (NH3) to urban Nr wet deposition in Denver, but apportionment of wet-deposited Nr to agricultural versus urban mobile sources was not possible for this study.  The results demonstrate the importance of multiple monitoring sites across an urban area in defining fine-scale geographic patterns in atmospheric deposition and its sources.  Data from new sites located within 50 km of the urban area demonstrate that the urban influence doesn't extend as far as the Inverse Distance Weighting would have suggested without such empirical monitoring data. It is important to determine the radius of influence of urban emissions and associated deposition on the interpolated deposition raster, which is constrained by a paucity of monitoring sites east of Denver.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.06.528","usgsCitation":"Wetherbee, G.A., Benedict, K., Murphy, S.F., and Elliott, E., 2019, Inorganic nitrogen wet deposition gradients in the Denver-Boulder metropolitan area and Colorado Front Range – Preliminary implications for Rocky Mountain National Park and interpolated deposition maps: Science of the Total Environment, v. 691, p. 1027-1042, https://doi.org/10.1016/j.scitotenv.2019.06.528.","productDescription":"16 p.","startPage":"1027","endPage":"1042","ipdsId":"IP-106670","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":467485,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.06.528","text":"Publisher Index Page"},{"id":372717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.91644287109374,\n              40.12429084831405\n            ],\n            [\n              -105.46875,\n              40.12429084831405\n            ],\n            [\n              -105.46875,\n              40.51171103483292\n            ],\n            [\n              -105.91644287109374,\n              40.51171103483292\n            ],\n            [\n              -105.91644287109374,\n              40.12429084831405\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"691","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":783317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benedict, Katherine","contributorId":222839,"corporation":false,"usgs":false,"family":"Benedict","given":"Katherine","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":783318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":783319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elliott, Emily ","contributorId":222841,"corporation":false,"usgs":false,"family":"Elliott","given":"Emily ","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":783320,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206429,"text":"70206429 - 2019 - Depth determination of the 2010 El Mayor‐Cucapah earthquake sequence (M ≥ 4.0)","interactions":[],"lastModifiedDate":"2019-11-04T15:17:23","indexId":"70206429","displayToPublicDate":"2019-07-02T15:05:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Depth determination of the 2010 El Mayor‐Cucapah earthquake sequence (M ≥ 4.0)","docAbstract":"<p><span>The 2010&nbsp;</span><i>M</i><sub>W</sub><span>&nbsp;7.2 El Mayor‐Cucapah earthquake ruptured a zone of ~120 km in length in northern Baja California. The geographic distribution of this earthquake sequence was well constrained by waveform relocation. The depth distribution, however, was poorly determined as it is near the edge of, or outside, the Southern California Seismic Network. Here we use two complementary methods to constrain the focal depths of moderate‐sized events (</span><i>M</i><span>&nbsp;≥ 4.0) in this sequence. We first determine the absolute earthquake depth by modeling the regional depth phases at high frequencies (~1 Hz). We mainly focus on&nbsp;</span><i>Pn</i><span>&nbsp;and its depth phases&nbsp;</span><i>pPn</i><span>&nbsp;and&nbsp;</span><i>sPn</i><span>, which arrive early at regional distance and are less contaminated by crustal multiples. To facilitate depth phase identification and to improve signal‐to‐noise ratio, we take advantage of the dense Southern California Seismic Network and use array analysis to align and stack&nbsp;</span><i>Pn</i><span>&nbsp;waveforms. For events without clear depth phases, we further determine their relative depths with respect to those with known depths using differential travel times of the&nbsp;</span><i>Pn</i><span>, direct&nbsp;</span><i>P</i><span>, and direct&nbsp;</span><i>S</i><span>&nbsp;phases recorded for event pairs. Focal depths of 93 out of 122&nbsp;</span><i>M</i><span>&nbsp;≥ 4.0 events are tightly constrained with absolute uncertainty of about 1 km. Aftershocks are clustered in the depth range of 3–10 km, suggesting a relatively shallow seismogenic zone, consistent with high surface heat flow in this region. Most aftershocks are located outside or near the lower terminus of coseismic high‐slip patches of the main shock, which may be governed by residual strains, local stress concentration, or postseismic slip.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB016982","usgsCitation":"Yu, C., Hauksson, E., Zhan, Z., Cochran, E.S., and Helmberger, D., 2019, Depth determination of the 2010 El Mayor‐Cucapah earthquake sequence (M ≥ 4.0): Journal of Geophysical Research B: Solid Earth, v. 124, p. 6801-6814, https://doi.org/10.1029/2018JB016982.","productDescription":"14 p.","startPage":"6801","endPage":"6814","ipdsId":"IP-102835","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":467486,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb016982","text":"Publisher Index Page"},{"id":368935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Baja California","otherGeospatial":"Cucapah Fault, El Mayor Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.52099609375,\n              32.74570253945518\n            ],\n            [\n              -115.8837890625,\n              31.109388560814963\n            ],\n            [\n              -115.1806640625,\n              31.269160890477654\n            ],\n            [\n              -115.29052734375,\n              31.695455797778713\n            ],\n            [\n              -115.8233642578125,\n              32.84267363195431\n            ],\n            [\n              -116.52099609375,\n              32.74570253945518\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Yu, C.","contributorId":216383,"corporation":false,"usgs":false,"family":"Yu","given":"C.","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":774512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hauksson, E.","contributorId":196003,"corporation":false,"usgs":false,"family":"Hauksson","given":"E.","affiliations":[],"preferred":false,"id":774513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhan, Z.","contributorId":216384,"corporation":false,"usgs":false,"family":"Zhan","given":"Z.","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":774514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":774511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Helmberger, D.","contributorId":216385,"corporation":false,"usgs":false,"family":"Helmberger","given":"D.","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":774515,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204194,"text":"70204194 - 2019 - Perspective: Developing flow policies to balance the water needs of humans and wetlands requires a landscape scale approach inclusive of future scenarios and multiple timescales","interactions":[],"lastModifiedDate":"2019-09-04T14:49:15","indexId":"70204194","displayToPublicDate":"2019-07-02T14:29:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Perspective: Developing flow policies to balance the water needs of humans and wetlands requires a landscape scale approach inclusive of future scenarios and multiple timescales","docAbstract":"Maintenance of the natural flow regime is essential for continued wetland integrity; however, the flow regime is greatly influenced by both natural and anthropogenic forces. Wetlands may be particularly susceptible to altered flow regimes as they are directly impacted by water flows at a variety of time scales. In Puerto Rico, contemporary water management is decreasing freshwater recharge to wetlands and contributes to the salinization of important coastal wetlands as sea levels rise. Further, downscaled climate models predict an increase in drought frequency, intensity, and duration by mid-century. Conflicts over water allocation seem imminent between human and ecological needs. Current minimum flow policies are insufficient given the complexities of ecosystem processes and the changes in precipitation patterns and sea level rise that are expected in the future. Improved flow policies need to be established that reflect the functional relationships between specific representative ecological resources and components of the natural flow regime across all relevant time scales. Similarly, flow policies need to be developed within a landscape scale to implicitly address the socio-ecological trade-offs as well as the complexities of water management. Multi-disciplinary collaborations will be essential for increasing our resiliency to anticipated future changes.","language":"English","publisher":"Society of Wetland Scientists","doi":"10.1007/s13157-019-01184-5","usgsCitation":"Murry, B., Bowden, J., Branoff, B., Garcia-Bermudez, M., Middleton, B., Ortiz-Zayas, J., Restrepo, C., and Terando, A., 2019, Perspective: Developing flow policies to balance the water needs of humans and wetlands requires a landscape scale approach inclusive of future scenarios and multiple timescales: Wetlands, p. 1-13, https://doi.org/10.1007/s13157-019-01184-5.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-104897","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":365483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Murry, Brent","contributorId":216870,"corporation":false,"usgs":false,"family":"Murry","given":"Brent","affiliations":[{"id":39538,"text":"USFWS Science Applications, San Juan Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":765942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowden, Jared","contributorId":197528,"corporation":false,"usgs":false,"family":"Bowden","given":"Jared","affiliations":[],"preferred":false,"id":765943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Branoff, Benjamin","contributorId":216871,"corporation":false,"usgs":false,"family":"Branoff","given":"Benjamin","affiliations":[{"id":39539,"text":"University of Puerto Rico, San Juan, PR","active":true,"usgs":false}],"preferred":false,"id":765944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia-Bermudez, Miguel","contributorId":216872,"corporation":false,"usgs":false,"family":"Garcia-Bermudez","given":"Miguel","affiliations":[{"id":39540,"text":"USFWS Science Applications, San Juan, PR","active":true,"usgs":false}],"preferred":false,"id":765945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Middleton, Beth A. 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":216869,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":765941,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ortiz-Zayas, Jorge","contributorId":216873,"corporation":false,"usgs":false,"family":"Ortiz-Zayas","given":"Jorge","email":"","affiliations":[{"id":39539,"text":"University of Puerto Rico, San Juan, PR","active":true,"usgs":false}],"preferred":false,"id":765946,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Restrepo, Carla","contributorId":216874,"corporation":false,"usgs":false,"family":"Restrepo","given":"Carla","email":"","affiliations":[{"id":39541,"text":"University of Puerto Rico, San Juan PR","active":true,"usgs":false}],"preferred":false,"id":765947,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Terando, Adam J. 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":216875,"corporation":false,"usgs":true,"family":"Terando","given":"Adam J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":765948,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70213187,"text":"70213187 - 2019 - Late Miocene to Pleistocene source to sink record of exhumation and sediment routing in the Gulf of Alaska from detrital zircon fission-track and U-Pb double dating","interactions":[],"lastModifiedDate":"2020-09-14T14:23:55.483121","indexId":"70213187","displayToPublicDate":"2019-07-02T09:21:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Late Miocene to Pleistocene source to sink record of exhumation and sediment routing in the Gulf of Alaska from detrital zircon fission-track and U-Pb double dating","docAbstract":"<div class=\"article-section__content en main\"><p>We investigate the late Miocene‐Pleistocene offshore sedimentary record of the Yakutat microplate to evaluate the spatial and temporal variations in rock exhumation and sediment routing patterns at the heavily glaciated and actively converging plate boundary in southeast Alaska. We present 1,456 new fission track ages and 1,372 new U‐Pb ages from double‐dated detrital zircons derived from fourteen samples collected from offshore. We integrate our results with published geochronology and thermochronology data onland and offshore in order to constrain grain provenance. We find that offshore strata deposited east of the fold and thrust belt are sourced from the rapidly exhuming areas along the entire Fairweather Fault, the northeastern part of the syntaxial region, as well as the slowly exhuming Insular superterrane. In contrast, the western strata are sourced from the emerging fold and thrust belt and the Chugach Metamorphic Complex located north of the plate boundary. In these samples we identified a change in sediment provenance, which we suggest marks the capture of the Bagley Ice Valley by the proto‐Bering Glacier at the transition from the early to late Pliocene. This implies that the modern Bagley‐Bering Glacier System is much older than previously known. Strata deposited at ~8.6 Ma suggest that extreme rapid exhumation was already ongoing in the late Miocene, which supports previous findings in deep‐sea deposits. Overall, the data help discern several stages in the evolution of sediment routing patterns in response to dynamic tectonic and surficial processes along this active convergent margin.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019TC005497","usgsCitation":"Bootes, N., Enkelmann, E., and Lease, R.O., 2019, Late Miocene to Pleistocene source to sink record of exhumation and sediment routing in the Gulf of Alaska from detrital zircon fission-track and U-Pb double dating: Tectonics, v. 38, no. 8, p. 2703-2726, https://doi.org/10.1029/2019TC005497.","productDescription":"23 p.","startPage":"2703","endPage":"2726","ipdsId":"IP-104877","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":378355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.005859375,\n              58.07787626787517\n            ],\n            [\n              -138.779296875,\n              58.07787626787517\n            ],\n            [\n              -138.779296875,\n              62.91523303947614\n            ],\n            [\n              -156.005859375,\n              62.91523303947614\n            ],\n            [\n              -156.005859375,\n              58.07787626787517\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"8","noUsgsAuthors":false,"publicationDate":"2019-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Bootes, Nathaniel","contributorId":240603,"corporation":false,"usgs":false,"family":"Bootes","given":"Nathaniel","email":"","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":798541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Enkelmann, Eva","contributorId":240604,"corporation":false,"usgs":false,"family":"Enkelmann","given":"Eva","email":"","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":798542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":798543,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70247965,"text":"70247965 - 2019 - Lithosphere and shallow asthenosphere rheology from observations of post-earthquake relaxation","interactions":[],"lastModifiedDate":"2023-08-29T14:20:31.080248","indexId":"70247965","displayToPublicDate":"2019-07-02T09:17:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16691,"text":"Physics of Earth and Planetary Interiors","active":true,"publicationSubtype":{"id":10}},"title":"Lithosphere and shallow asthenosphere rheology from observations of post-earthquake relaxation","docAbstract":"<p><span>In tectonically active regions, post-earthquake motions are generally shaped by a combination of continued fault slippage (afterslip) on a timescale of days to months and viscoelastic relaxation of the&nbsp;lower crust&nbsp;and&nbsp;upper mantle&nbsp;on a timescale of days to years. Transient crustal motions have been observed following numerous magnitude &gt;~7 earthquakes in various&nbsp;tectonic settings: continental&nbsp;rift zones&nbsp;(Basin and Range), continental&nbsp;plate boundary&nbsp;zones (San Andreas fault corridor; Alaska; Turkey),&nbsp;subduction zones&nbsp;(Japan, Chile, Sumatra), ongoing&nbsp;continental collision&nbsp;zones (Arabia; Tibet), and mid-ocean rifting zones (Iceland). When afterslip can be discriminated from viscoelastic relaxation and when temporal coverage of the postseismic measurements is broad (i.e.,&nbsp;geodetic surveys&nbsp;of at least several years duration are available), a wide spectrum of relaxation timescales are usually identified. Current temporal resolution and modeling approaches (e.g., Burgers body analog) allow identification of transient (Kelvin) and steady-state (Maxwell) viscosities that are operable in the short-term and long-term, respectively. I compile results from 40 studies of post-earthquake motions, augmented by ten studies of contemporary surface loading or unloading, that illuminate current estimates of transient and steady-state viscosity of the lower crust and/or uppermost mantle. Lower crust viscosity estimates range from&nbsp;</span><i>~</i><span>10</span><sup>18</sup><span>&nbsp;to 10</span><sup>21</sup><span>&nbsp;Pa s, with most estimates near the upper end except in areas of overthickened crust. Mantle lithosphere and&nbsp;asthenosphere&nbsp;viscosity estimates are particularly abundant and yield a picture of transient viscosity ranging from ~10</span><sup>16</sup><span>&nbsp;to 10</span><sup>19</sup><span>&nbsp;Pa s and steady-state viscosity ranging from ~10</span><sup>18</sup><span>&nbsp;to 10</span><sup>21</sup><span> Pa s. To first order, both transient and steady-state viscosities are well correlated with regional heat flow, and steady-state viscosities are comparable with temperature and strain-rate dependent rock viscosities from laboratory-based flow laws.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.pepi.2019.106271","usgsCitation":"Pollitz, F., 2019, Lithosphere and shallow asthenosphere rheology from observations of post-earthquake relaxation: Physics of Earth and Planetary Interiors, v. 293, 106271, 12 p., https://doi.org/10.1016/j.pepi.2019.106271.","productDescription":"106271, 12 p.","ipdsId":"IP-106528","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":420239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"293","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":881352,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70205595,"text":"70205595 - 2019 - Modeling transient soil moisture limitations on microbial carbon respiration: A cost-performance comparison","interactions":[],"lastModifiedDate":"2019-09-27T09:43:37","indexId":"70205595","displayToPublicDate":"2019-07-02T09:06:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Modeling transient soil moisture limitations on microbial carbon respiration: A cost-performance comparison","docAbstract":"Soil microorganisms are known to survive periods of aridity and to recover rapidly after wetting events, with the ability to transition between a dormant state in dry conditions and an active state in wet conditions. Though this dynamic behavior has been previously incorporated into soil carbon respiration modeling frameworks, a direct comparison between this active-dormant transition mechanism and a more simplified first-order model has yet to be made. Here, we demonstrate the necessary extent of model complexity needed to reproduce transient carbon respiration rates obtained from a set of soil incubation experiments implemented over a range of soil depths and time intervals. Two approaches are tested, one uses simplified first-order kinetics whereas the other employs a transition between active and dormant biomass. The performance of each model is evaluated using an Akaike Information Criterion (AIC) based on the accuracy with which they reproduce an experimental dataset consisting of two sets of time series soil incubations collected across a range of time and depth resolutions. Based on the AIC evaluation and model-data comparison, we conclude that a dormancy-enabled model featuring two distinct microbial strategists performs best for the majority of the soil profile (above 108 cm) for both high- and low- depth resolution and sampling frequency, despite the added parameters required. In contrast, the first-order model achieves better AIC scores when simulating our deepest soils (112-165 cm), where moisture fluctuations are expected to be less prevalent. These results guide how and where we choose to apply more cost intensive models.","language":"English","doi":"10.1029/2018JG004628","usgsCitation":"Liu, Y., Lawrence, C.R., Mathew Winnick, Hsiao-Tieh Hsu, Maher, K., and Druhan, J., 2019, Modeling transient soil moisture limitations on microbial carbon respiration: A cost-performance comparison: Biogeosciences, v. 124, no. 7, p. 2222-2247, https://doi.org/10.1029/2018JG004628.","productDescription":"26 p.","startPage":"2222","endPage":"2247","ipdsId":"IP-091717","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467487,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jg004628","text":"Publisher Index Page"},{"id":367761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, Yuchen","contributorId":219247,"corporation":false,"usgs":false,"family":"Liu","given":"Yuchen","email":"","affiliations":[{"id":39974,"text":"University Illinois","active":true,"usgs":false}],"preferred":false,"id":771792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Corey R. 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":202390,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":771793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathew Winnick","contributorId":219248,"corporation":false,"usgs":false,"family":"Mathew Winnick","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":771794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hsiao-Tieh Hsu","contributorId":219249,"corporation":false,"usgs":false,"family":"Hsiao-Tieh Hsu","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":771795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maher, Katherine","contributorId":219250,"corporation":false,"usgs":false,"family":"Maher","given":"Katherine","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":771796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Druhan, Jennifer","contributorId":202381,"corporation":false,"usgs":false,"family":"Druhan","given":"Jennifer","email":"","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":771797,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70204105,"text":"70204105 - 2019 - Sharp savanna-forest transitions in the Midwest followed environmental gradients but are absent from the modern landscape","interactions":[],"lastModifiedDate":"2019-07-05T16:23:45","indexId":"70204105","displayToPublicDate":"2019-07-01T16:12:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5153,"text":"The American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Sharp savanna-forest transitions in the Midwest followed environmental gradients but are absent from the modern landscape","docAbstract":"Historically, closed eastern forests transitioned into open savannas and prairies in the US Midwest, but this transition is poorly understood. To investigate the eastern boundary of the prairie-forest ecotone, we conducted a case study of historic and modern vegetation patterns of the Yellow River watershed in northwest Indiana. Historic vegetation came from the Public Land Survey notes collected in the early 1800s, whereas modern vegetation came from the Forest Inventory Analysis and USGS National Land Cover Database. We mapped historical survey vegetation data using GIS to reconstruct the region’s past and current forest composition and structure. We also mapped climate, topography, and soil composition across the watershed to investigate the relationship between historic vegetation and environmental gradients. We found a sharp transition in the presettlement forest structure and composition, with dense deciduous forests in the eastern portion of our study area and open oak savannas in the west. The savanna ecosystem dominated in sandy well-drained soils and was at a slightly lower elevation than the adjacent closed forest. Modest environmental changes accompanied major vegetation changes in the past, which might suggest fire and hydrological patterns helped maintain the sharp ecotone. By contrast, the modern forest shows no difference in tree density and composition across the watershed, which is consistent with major land use and hydrology changes in the watershed since settlement. On the modern landscape, land that was historically closed forest now has higher agricultural productivity compared to land that was historically savanna, whereas the historic savanna currently supports more mesic forest. These results suggest the environmental gradient continues to subtly shape the landscape. Though land use change has largely removed the closed mixed hardwood forests and oak savannas from this area, a better understanding of the historic vegetation and the conditions that supported it can help inform land management and restoration, as well as reveal ecological processes that drive vegetation transitions.","language":"English","publisher":"BioOne","doi":"10.1674/0003-0031-180.1.1","usgsCitation":"Broderick, C.M., Heilman, K.A., Patterson, T., Peters, J., and McLachlan, J.S., 2019, Sharp savanna-forest transitions in the Midwest followed environmental gradients but are absent from the modern landscape: The American Midland Naturalist, v. 180, no. 1, p. 1-17, https://doi.org/10.1674/0003-0031-180.1.1.","productDescription":"17","startPage":"1","endPage":"17","ipdsId":"IP-086114","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":365314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","otherGeospatial":"Yellow River Watershed Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.84005737304688,\n              41.24683746537623\n            ],\n            [\n              -86.38412475585938,\n              41.24683746537623\n            ],\n            [\n              -86.38412475585938,\n              41.422134246213616\n            ],\n            [\n              -86.84005737304688,\n              41.422134246213616\n            ],\n            [\n              -86.84005737304688,\n              41.24683746537623\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"180","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Broderick, Caitlin M.","contributorId":216788,"corporation":false,"usgs":false,"family":"Broderick","given":"Caitlin","email":"","middleInitial":"M.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":765533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heilman, Kelly A 0000-0001-5932-1317","orcid":"https://orcid.org/0000-0001-5932-1317","contributorId":216789,"corporation":false,"usgs":false,"family":"Heilman","given":"Kelly","email":"","middleInitial":"A","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":765534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, Tamatha 0000-0002-1648-8114 tpatterson@usgs.gov","orcid":"https://orcid.org/0000-0002-1648-8114","contributorId":201149,"corporation":false,"usgs":true,"family":"Patterson","given":"Tamatha","email":"tpatterson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":765532,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peters, Jody","contributorId":216790,"corporation":false,"usgs":false,"family":"Peters","given":"Jody","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":765535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLachlan, Jason S.","contributorId":167179,"corporation":false,"usgs":false,"family":"McLachlan","given":"Jason","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":765536,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202564,"text":"70202564 - 2019 - The relationship of channel planform and point bar architecture on a reach of the Wabash River near Grayville, Illinois","interactions":[],"lastModifiedDate":"2022-01-12T15:27:29.925999","indexId":"70202564","displayToPublicDate":"2019-07-01T12:13:34","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The relationship of channel planform and point bar architecture on a reach of the Wabash River near Grayville, Illinois","docAbstract":"<p>The erosional and depositional characteristics of meandering rivers lead to the formation and maintenance of point bars along the inner banks of meander bends. Point bars are composed of sediment layers in patterns resulting from the rate and style of channel migration, hydrodynamics, and sediment transport and deposition within the river system (e.g. Jackson, 1976; Dietrich and Smith, 1984; Dietrich, 1987, Abad and Garcia, 2009). The distribution of the sediments preserved in the internal architecture of a river point bar provides a record of channel planform evolution. Geophysical methods are used to gain a large-scale visualization of the subsurface and aid in the interpretation of historic channel patterns (Best et al., 2003; Woodward et al., 2003; Sambrook Smith et al., 2006). Comparing known surficial extents of the point bar to features identified in the subsurface can also enhance the understanding of historic channel planform. This study investigates two point bars along bends with different styles of migration, Maier and TB3, in a well-documented reach of the Wabash River near Grayville, IL. Evidence from historic aerial photography, modern lidar, photogrammetry, and geophysical surveys were used to determine the relationship between the point bar architecture and channel planform. Airborne lidar was flown in 2011 and is used to create the 2011 point bar surface. In 2017, a terrestrial lidar and Real Time Kinematic-Global Navigation Satellite System (RTK-GNSS) topographic survey were combined to create the surface for TB3. In 2018, a photogrammetric survey collected with a small unmanned aerial system (sUAS) was used to create a structure-frommotion (SfM) derived surface for Maier bend. The 2018 survey-based point bar surfaces were differenced from the 2011 point bar surfaces to get a Digital Elevation Model (DEM) of difference (DoD) to visualize areas of erosion and deposition. In addition, geophysical surveys using ground penetrating radar (GPR) were conducted in transverse and streamwise lines across the point bars in 2018. Elevation profiles from the 2011 point bar surfaces are extracted and overlain onto the 2018 GPR images to determine how the point bar is preserving the structure of sediments previously deposited. Results from this study provide an update to current models of point bar architecture. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2019 Conference","conferenceDate":"June 24-28, 2019","conferenceLocation":"Reno, NV","language":"English","publisher":"Federal Interagency Sedimentation Conference (FISC) and Federal Interagency Hydrologic Modeling Conference (FIHMC)","usgsCitation":"Rowley, T., Konsoer, K., Ursic, M., and Langendoen, E.J., 2019, The relationship of channel planform and point bar architecture on a reach of the Wabash River near Grayville, Illinois, <i>in</i> Proceedings of SEDHYD 2019, v. 1, Reno, NV, June 24-28, 2019, 5 p.","productDescription":"5 p.","ipdsId":"IP-104932","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":368663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368662,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/#sedhyd-2019-proceedings"}],"country":"United States","state":"Illinois","city":"Grayville","otherGeospatial":"Wabash River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.95722961425781,\n              38.25476238074633\n            ],\n            [\n              -87.901611328125,\n              38.25476238074633\n            ],\n            [\n              -87.901611328125,\n              38.30920107060575\n            ],\n            [\n              -87.95722961425781,\n              38.30920107060575\n            ],\n            [\n              -87.95722961425781,\n              38.25476238074633\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rowley, Taylor 0000-0003-3786-6273","orcid":"https://orcid.org/0000-0003-3786-6273","contributorId":208374,"corporation":false,"usgs":true,"family":"Rowley","given":"Taylor","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Konsoer, Kory","contributorId":220049,"corporation":false,"usgs":false,"family":"Konsoer","given":"Kory","email":"","affiliations":[],"preferred":false,"id":773986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ursic, Mick","contributorId":220050,"corporation":false,"usgs":false,"family":"Ursic","given":"Mick","email":"","affiliations":[],"preferred":false,"id":773987,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langendoen, Eddy J.","contributorId":66126,"corporation":false,"usgs":true,"family":"Langendoen","given":"Eddy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":773988,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203137,"text":"70203137 - 2019 - Channel modification and evolution alter hydraulic connectivity in the Atchafalaya River basin increasing vulnerability to sea-level rise","interactions":[],"lastModifiedDate":"2022-01-12T15:28:38.194711","indexId":"70203137","displayToPublicDate":"2019-07-01T11:45:33","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Channel modification and evolution alter hydraulic connectivity in the Atchafalaya River basin increasing vulnerability to sea-level rise","docAbstract":"Channel dredging and erosion in the Atchafalaya River basin have resulted in changes to the hydraulic connectivity of this floodplain swamp that have not been previously quantified. In this study, analyses were conducted to determine hydraulic and geomorphic factors that have changed since channel closure in 1962. Results indicated changes occurred in the Atchafalaya main channel cross-section between 1962 and 2010, and hydraulic and geomorphic changes were detected in portions of the interior eastern basin floodplain. Analyses of hydrographs in relation to floodplain elevations indicated that there was a lack of mineral sediment deposition sufficient to offset subsidence and rising sea level. This deficit has resulted in extended hydroperiods over the floodplain which could prevent tree regeneration and promote hypoxia.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2019 Conference","conferenceDate":"June 24-28, 2019","conferenceLocation":"Reno, NV","language":"English","publisher":"Federal Interagency Sedimentation Conference (FISC) and Federal Interagency Hydrologic Modeling Conference (FIHMC)","usgsCitation":"Kroes, D., Day, R.H., Demas, C.R., Allen, Y.C., and Roberts, S., 2019, Channel modification and evolution alter hydraulic connectivity in the Atchafalaya River basin increasing vulnerability to sea-level rise, <i>in</i> Proceedings of SEDHYD 2019, v. 1, Reno, NV, June 24-28, 2019, 11 p.","productDescription":"11 p.","ipdsId":"IP-104703","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":368657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368656,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/#sedhyd-2019-proceedings"}],"country":"United States","state":"Louisiana","otherGeospatial":"Atchafalaya River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.40325927734375,\n              29.685666670118724\n            ],\n            [\n              -91.14532470703125,\n              29.685666670118724\n            ],\n            [\n              -91.14532470703125,\n              30.850363469502362\n            ],\n            [\n              -92.40325927734375,\n              30.850363469502362\n            ],\n            [\n              -92.40325927734375,\n              29.685666670118724\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kroes, Daniel 0000-0001-9104-9077 dkroes@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-9077","contributorId":3830,"corporation":false,"usgs":true,"family":"Kroes","given":"Daniel","email":"dkroes@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":761356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":773980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Demas, Charles R.","contributorId":36121,"corporation":false,"usgs":true,"family":"Demas","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":773981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Yvonne C.","contributorId":94403,"corporation":false,"usgs":true,"family":"Allen","given":"Yvonne","email":"","middleInitial":"C.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":773982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, Steve","contributorId":52674,"corporation":false,"usgs":true,"family":"Roberts","given":"Steve","affiliations":[],"preferred":false,"id":773983,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203189,"text":"70203189 - 2019 - Sediment monitoring to support modeling a reservoir sediment flush on a sand-bed river in Northern Nebraska","interactions":[],"lastModifiedDate":"2022-01-12T15:29:09.638114","indexId":"70203189","displayToPublicDate":"2019-07-01T11:38:01","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Sediment monitoring to support modeling a reservoir sediment flush on a sand-bed river in Northern Nebraska","docAbstract":"The U.S. Geological Survey (USGS) in cooperation with the U.S. Army Corps of Engineers (USACE), monitored a sediment flush event from Spencer Dam located on the Niobrara River near Spencer, Nebraska, during the fall of 2014. Data collected during the flush was used to validate a one-dimensional sediment transport model developed by the USACE. The USACE surveyed 26 cross sections within the reservoir and as far as 1 kilometer (km) upstream from the reservoir pool to about 10 km downstream from the dam before and after the flushing event to measure erosion and deposition. They also collected surficial sediment samples from sandbars within the reservoir. The USGS assisted USACE in its model validation efforts by collecting sediment data before, during and after the flush using both traditional sampling techniques and a continuous laser-diffraction particle-size analyzer. From the context of longitudinal volumetric change, the model replicated erosion in the upper half of the reservoir within four percent of that observed by survey data and it replicated deposition downstream of the dam within 5 percent. However, the model underpredicted the erosion of the accumulated delta sediments in the reservoir by 43 percent. The timing and magnitude of suspended sediment concentrations produced by the model compared reasonably well to the discrete suspended-sediment sample results. These results indicate cross-sectional survey data and discrete sediment data may be adequate for developing sediment flush models for reservoirs in similar well-sorted sand-bed streams.\n\nThe USGS installed a continuous particle-size analyzer immediately downstream from the dam. Although the particle-size analyzer was successful in providing a large dataset during the flushing event, based on discrete point samples, it overestimated the amount of fine particles and underrepresented the amount of coarse material. It also required a significant amount of maintenance during the flushing event because of the large sediment load and the rapid bed aggradation. The maintenance issues with the particle-size analyzer along with uncertainty in the correlation to discrete suspended-sediment samples reduced its value for model validation. However, these issues may have been specific to the flushing event at Spencer Dam, which involved a sand-bed dominated stream and a wide channel. It is foreseeable that other sediment flush models developed for different streams with dissimilar sediment gradations may benefit from similar continuous sediment data, but adequate planning and evaluation should be performed.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2019 Conference","conferenceDate":"June 24-28, 2019","conferenceLocation":"Reno, NV","language":"English","publisher":"Federal Interagency Sedimentation Conference (FISC) and Federal Interagency Hydrologic Modeling Conference (FIHMC)","usgsCitation":"Schaepe, N.J., and Boyd, P.M., 2019, Sediment monitoring to support modeling a reservoir sediment flush on a sand-bed river in Northern Nebraska, <i>in</i> Proceedings of SEDHYD 2019, v. 2, Reno, NV, June 24-28, 2019, 14 p.","productDescription":"14 p.","ipdsId":"IP-105260","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":368654,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/#sedhyd-2019-proceedings"},{"id":368655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","city":"Spencer","otherGeospatial":"Niobara River, Spencer Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.68452072143555,\n              42.79514872764227\n            ],\n            [\n              -98.61997604370117,\n              42.79514872764227\n            ],\n            [\n              -98.61997604370117,\n              42.81391436163743\n            ],\n            [\n              -98.68452072143555,\n              42.81391436163743\n            ],\n            [\n              -98.68452072143555,\n              42.79514872764227\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schaepe, Nathaniel J. 0000-0003-1776-7411 nschaepe@usgs.gov","orcid":"https://orcid.org/0000-0003-1776-7411","contributorId":2377,"corporation":false,"usgs":true,"family":"Schaepe","given":"Nathaniel","email":"nschaepe@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, Paul M","contributorId":215066,"corporation":false,"usgs":false,"family":"Boyd","given":"Paul","email":"","middleInitial":"M","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":761567,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203325,"text":"70203325 - 2019 - Field-scale sediment feed flume: Upper Santa Ana River, California","interactions":[],"lastModifiedDate":"2022-01-12T15:29:35.164663","indexId":"70203325","displayToPublicDate":"2019-07-01T11:31:20","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Field-scale sediment feed flume: Upper Santa Ana River, California","docAbstract":"Along the San Bernardino Valley, the Santa Ana River decreases in slope, increases in width, and deposits particles from boulders to sand as it loses transport capacity. Episodic rainfalls feed very large winter floods, but dry summer and fall periods lead to extensive dry alluvial reaches due to surface water infiltration into subsurface aquifers. Within one of these dry reaches, a small inset channel has developed to effectively convey year-round wastewater discharges. This flow creates a coarse bed substrate composed of gravel and cobble that is home for diatoms and algae, the diet for the Santa Ana Sucker, a threatened native fish. \n\nField-based observations include:\n•\tShear stresses in the inset channel are capable of transporting sand as bedload, but not gravel and cobble. Bedload measurements (at several locations and times under wastewater discharge conditions) indicate that about 90% of the bedload is sand. The median grain size of bedload samples is consistently in the 0.5–1-mm range with little longitudinal variability.\n\n•\tThe upstream supply of sand decreases through time as winnowing proceeds in the downstream direction. Bedload transport rates increase in the downstream direction by an order of magnitude over just 7 km, despite the fact that water discharge decreases downstream due to infiltration (typically by 25–50% over the 7-km reach). \n\n•\tThe location of the gravel-to-sand bed transition is variable from year to year and is related to the amount of time that has elapsed since the most recent upstream runoff event. These events supply new sediment to the reach and reset the winnowing process.\n\n•\tDirect observations of the inset channel following upstream runoff events revealed many instances of large areas of substantial sand deposition in the channel, in areas that were previously entirely gravel and cobble sizes.\n\nWe propose a qualitative function to predict the bed substrate of the inset channel at any given time and location. A one-dimensional model of bedload transport and bed substrate in the study reach is being developed to quantify and test the predictive function. Preliminary results indicate that the winnowing process is quite sensitive to wastewater discharge levels. The calibrated model will be used to assess how treatment plant discharge scenarios might be used to strategically manage winnowing rates and the amount of gravel and cobble exposed on the bed in the reach.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2019 Conference","conferenceDate":"June 24-28, 2019","conferenceLocation":"Reno, NV","language":"English","publisher":"Federal Interagency Sedimentation Conference (FISC) and Federal Interagency Hydrologic Modeling Conference (FIHMC)","usgsCitation":"Wright, S., and Minear, J.T., 2019, Field-scale sediment feed flume: Upper Santa Ana River, California, <i>in</i> Proceedings of SEDHYD 2019, v. 1, Reno, NV, June 24-28, 2019, 2 p.","productDescription":"2 p.","ipdsId":"IP-107058","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":363507,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/#sedhyd-2019-proceedings"},{"id":368653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Upper Santa Ana River Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.44178771972656,\n              33.965572781967936\n            ],\n            [\n              -117.24128723144531,\n              33.965572781967936\n            ],\n            [\n              -117.24128723144531,\n              34.11407854333859\n            ],\n            [\n              -117.44178771972656,\n              34.11407854333859\n            ],\n            [\n              -117.44178771972656,\n              33.965572781967936\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minear, J. Toby","contributorId":215361,"corporation":false,"usgs":false,"family":"Minear","given":"J.","email":"","middleInitial":"Toby","affiliations":[{"id":39229,"text":"Cooperative Institute for Research in Environmental Sciences, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":762155,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203958,"text":"70203958 - 2019 - Near-field remote sensing of Alaskan Rivers","interactions":[],"lastModifiedDate":"2019-10-17T11:29:25","indexId":"70203958","displayToPublicDate":"2019-07-01T11:24:13","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Near-field remote sensing of Alaskan Rivers","docAbstract":"The U.S. Geological Survey (USGS) Geomorphology and Sediment Transport Laboratory (GSTL), in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL), acquired remotely sensed data from several Alaskan rivers in 2017 and 2018 with the goal of developing a methodology for measuring streamflow from a helicopter. CRREL operates a custom airborne lidar system that can be deployed in a helicopter-based pod (HeliPod). Data were collected with the HeliPod near existing USGS streamflow information stations on the Knik, Matanuska, Chena, and Salcha Rivers in both 2017 and 2018. Sites on the Tanana and Snow Rivers were added in 2018. In 2018, the HeliPod was modified to accommodate both a thermal infrared and a visible camera. The cameras were integrated with the flight management software to simultaneously acquire imagery with lidar. The Global Navigation Satellite System (GNSS) and inertial measurement unit (IMU) in the HeliPod were used to compute trajectories with precise position and orientation information needed for image orthorectification. The HeliPod sensors provide data for measuring river channel characteristics. Lidar can map the elevation of the water surface and thus be used to measure water-surface slopes and return intensity can be used to delineate the extent of the wetted river channel. Various approaches are currently being evaluated to estimate surface flow velocity from visible and thermal image time series. In this paper, we examine and compare water-surface elevation returns and slopes derived from the HeliPod lidar and found good agreement with measurements made using conventional field-based techniques.","conferenceTitle":"Federal Interagency Sedimentation and Hydrologic Modeling Conference (SEDHYD 2019)","conferenceDate":"June 24-28, 2019","conferenceLocation":"Reno, Nevada","language":"English","publisher":"Federal Interagency Sedimentation and Hydrologic Modeling Conference (SEDHYD 2019)","usgsCitation":"Kinzel, P.J., Legleiter, C.J., Nelson, J.M., Conaway, J., LeWinter, A., Gadomski, P., and Filiano, D., 2019, Near-field remote sensing of Alaskan Rivers, Federal Interagency Sedimentation and Hydrologic Modeling Conference (SEDHYD 2019), Reno, Nevada, June 24-28, 2019, 10 p.","productDescription":"10 p.","ipdsId":"IP-106032","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":368383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364998,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/openconf/modules/request.php?module=oc_program&action=program.php&p=program"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -153.3251953125,\n              59.085738569819505\n            ],\n            [\n              -144.3603515625,\n              59.085738569819505\n            ],\n            [\n              -144.3603515625,\n              66.47820814385636\n            ],\n            [\n              -153.3251953125,\n              66.47820814385636\n            ],\n            [\n              -153.3251953125,\n              59.085738569819505\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"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":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":764968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":764969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"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":764970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conaway, Jeff 0000-0002-3036-592X","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":214226,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeff","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":764971,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeWinter, Adam","contributorId":192072,"corporation":false,"usgs":false,"family":"LeWinter","given":"Adam","affiliations":[],"preferred":false,"id":764972,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gadomski, Peter","contributorId":216532,"corporation":false,"usgs":false,"family":"Gadomski","given":"Peter","email":"","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":764973,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Filiano, Dominic","contributorId":216533,"corporation":false,"usgs":false,"family":"Filiano","given":"Dominic","email":"","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":764974,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203891,"text":"70203891 - 2019 - Integrated hydrologic modeling of the Salinas River, California, for sustainable water management","interactions":[],"lastModifiedDate":"2022-01-12T15:30:43.909015","indexId":"70203891","displayToPublicDate":"2019-07-01T11:16:49","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Integrated hydrologic modeling of the Salinas River, California, for sustainable water management","docAbstract":"The Salinas River is the largest river in California’s Central Coast region. Groundwater resources of the Salinas River basin are used to meet water supply needs, including crop irrigation and municipal water supply. Two large multipurpose reservoirs also supply irrigation and municipal water uses. Historical imbalances between supply and demand have resulted in sinking groundwater levels, seawater intrusion, regulatory actions on pumping, adjudication, and requirements for minimum in-stream fish flows. Present needs include finding replacement water supplies and improving watershed management to comply with legal mandates, adapt to future climate variability and landuse conversions, and improve environmental conditions. The Salinas Valley Integrated Hydrologic Model (SVIHM) was developed to help water managers evaluate and adjust to projected impacts on water supplies and demands in the Salinas Valley watershed caused by changes in land use, population, and climate. The SVIHM includes four modeling components: (1) the Basin Characterization Model (BCM), (2) the Hydrologic Simulation Program – FORTRAN (HSPF), (3) MODFLOW - One Water Hydrologic Model (MF-OWHM), and (4) the Surface Water Operations (SWO) package.  The BCM and HSPF components compose the Salinas Valley Watershed Model (SVWM). The 4,530 square-mile (mi2) SVWM domain encompasses the entire Salinas River watershed, as well as coastal drainages adjacent to the Salinas River outflow, and includes two separate and connected HSPF model domains, the 2,540 mi2 upper Salinas River and the 1,990 mi2 lower Salinas River models. SVWM (1) simulates the water budget for the entire Salinas River basin containing both the SVIHM domain as well as the mountainous terrain of the tributary headwater areas not included in the SVIHM; and (2) was used to develop the 148 boundary inflows for the SVIHM. Simulated evapotranspiration (ET) is the largest component of the water budget after precipitation, with a 71-year average basin-wide ET of 13.9 in/yr, compared to the basin-wide average precipitation of 18.4 in/yr. Simulated ET ranges from 15 to 29 in/yr along the western side of the SVWM to less than 10 in/yr throughout the valley floor and in the southeast part of the Salinas River watershed. The simulated total 71-year average inflow to the SVIHM was 890 ft3/sec (about 640,000 acre-feet per year), with the highest average inflow of 270 ft3/sec simulated for the Nacimiento River; whereas, the simulated 71-year average streamflow at the mouth of the Salinas River was only about 190 ft3/sec, indicating that most of the streamflow generated in the Salinas River basin is lost to channel seepage. The lack of sustained baseflow causes streamflow to be highly sensitive to the temporal variability in precipitation, especially during the drier periods, and this increases the importance of developing adequate reservoir management, flow augmentation, and conjunctive water use scenarios for potential future drought periods and potentially increased temporal variability in precipitation.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of SEDHYD 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SEDHYD 2019 Conference","conferenceDate":"June 24-28, 2019","conferenceLocation":"Reno, NV","language":"English","publisher":"Federal Interagency Sedimentation Conference (FISC) and Federal Interagency Hydrologic Modeling Conference (FIHMC)","usgsCitation":"Hevesi, J.A., Henson, W.R., Hanson, R.T., and Boyce, S.E., 2019, Integrated hydrologic modeling of the Salinas River, California, for sustainable water management, <i>in</i> Proceedings of SEDHYD 2019, v. 4, Reno, NV, June 24-28, 2019, 15 p.","productDescription":"15 p.","ipdsId":"IP-107062","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":364813,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2019/#sedhyd-2019-proceedings"},{"id":368648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Salinas River Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.4044189453125,\n              36.796089518731506\n            ],\n            [\n              -121.607666015625,\n              36.96744946416934\n            ],\n            [\n              -121.98669433593749,\n              36.54936246839778\n            ],\n            [\n              -120.8770751953125,\n              35.39352808136067\n            ],\n            [\n              -119.65209960937501,\n              35.25459097465022\n            ],\n            [\n              -121.4044189453125,\n              36.796089518731506\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hevesi, Joseph A. 0000-0003-2898-1800 jhevesi@usgs.gov","orcid":"https://orcid.org/0000-0003-2898-1800","contributorId":1507,"corporation":false,"usgs":true,"family":"Hevesi","given":"Joseph","email":"jhevesi@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henson, Wesley R. 0000-0003-4962-5565 whenson@usgs.gov","orcid":"https://orcid.org/0000-0003-4962-5565","contributorId":384,"corporation":false,"usgs":true,"family":"Henson","given":"Wesley","email":"whenson@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyce, Scott E. 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764613,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216496,"text":"70216496 - 2019 - Measurement of sounds emitted by certain high-resolution geophysical survey systems","interactions":[],"lastModifiedDate":"2020-11-23T17:15:21.846135","indexId":"70216496","displayToPublicDate":"2019-07-01T11:12:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1941,"text":"IEEE Journal of Oceanic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Measurement of sounds emitted by certain high-resolution geophysical survey systems","docAbstract":"<p><span>Scientific questions regarding the impact of anthropomorphic noise in the marine environment have resulted in an increasing number of regulatory requirements and precautionary mitigation strategies to reduce the risks associated with high-resolution marine geophysical surveys performed in waters subjected to government jurisdiction. An example of regulatory frameworks includes the Marine Mammal Protection Act in the United States and the Marine Strategy Framework Directive 2008/56/EC in the European Union. Regulatory compliance often requires an assessment of the potential ecological risks before initiating a marine geophysical survey. However, the acoustic source data needed to estimate the risk associated with the operation of a given high-resolution survey system are frequently lacking. A comprehensive measurement program was performed to quantify the characteristics of sounds radiated by a variety of commercial marine geophysical survey systems, including boomers, sparkers, airguns, chirp sub-bottom profilers, sidescan sonars, and swath-bathymetric sonars [Crocker and Fratantonio, “Characteristics of high-frequency sounds emitted during high-resolution marine geophysical surveys,” Naval Undersea Warfare Center, Newport, RI, USA, NUWC-NPT Tech. Rep. 12, 203, 2016]. Calibrated acoustic source data, including source levels, source spectra, and beam patterns, were acquired for a total of 18 different marine geophysical survey systems. The data support modeling to estimate the potential ecological impacts resulting from the operation of certain high-resolution marine geophysical survey systems.</span></p>","language":"English","publisher":"IEEE","doi":"10.1109/JOE.2018.2829958","usgsCitation":"Crocker, S.E., Fratantonio, F.D., Hart, P.E., Foster, D.S., O’Brien, T.F., and Labak, S., 2019, Measurement of sounds emitted by certain high-resolution geophysical survey systems: IEEE Journal of Oceanic Engineering, v. 44, no. 3, p. 796-813, https://doi.org/10.1109/JOE.2018.2829958.","productDescription":"18 p.","startPage":"796","endPage":"813","ipdsId":"IP-085103","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1109/joe.2018.2829958","text":"Publisher Index Page"},{"id":380704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Crocker, Steven E","contributorId":245144,"corporation":false,"usgs":false,"family":"Crocker","given":"Steven","email":"","middleInitial":"E","affiliations":[{"id":49092,"text":"Naval Undersea Warfare Center,","active":true,"usgs":false}],"preferred":false,"id":805438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fratantonio, Frank D","contributorId":245145,"corporation":false,"usgs":false,"family":"Fratantonio","given":"Frank","email":"","middleInitial":"D","affiliations":[{"id":49092,"text":"Naval Undersea Warfare Center,","active":true,"usgs":false}],"preferred":false,"id":805439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":805440,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, David S. 0000-0003-1205-0884 dfoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0884","contributorId":1320,"corporation":false,"usgs":true,"family":"Foster","given":"David","email":"dfoster@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":805441,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Brien, Thomas F. 0000-0003-0906-8450 tobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-0906-8450","contributorId":4151,"corporation":false,"usgs":true,"family":"O’Brien","given":"Thomas","email":"tobrien@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":805442,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Labak, Stanley","contributorId":245146,"corporation":false,"usgs":false,"family":"Labak","given":"Stanley","email":"","affiliations":[{"id":49093,"text":"Bureau of Ocean Energy Management,","active":true,"usgs":false}],"preferred":false,"id":805443,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}