{"pageNumber":"819","pageRowStart":"20450","pageSize":"25","recordCount":184617,"records":[{"id":70200346,"text":"70200346 - 2018 - USGS quarterly wildlife mortality report October 2018","interactions":[],"lastModifiedDate":"2023-10-13T13:59:36.271693","indexId":"70200346","displayToPublicDate":"2018-10-01T14:23:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3769,"text":"Wildlife Disease Association Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"USGS quarterly wildlife mortality report October 2018","docAbstract":"No abstract available.","language":"English","publisher":"Wildlife Disease Association","usgsCitation":"Richards, B.J., Dusek, R.J., Ballmann, A., and Nguyen, N.T., 2018, USGS quarterly wildlife mortality report October 2018: Wildlife Disease Association Newsletter, p. 17-19.","productDescription":"3 p.","startPage":"17","endPage":"19","ipdsId":"IP-101983","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":358351,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358323,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.wildlifedisease.org/PersonifyEbusiness/Resources/Publications/Newsletter/Archive"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a930e4b034bf6a7e5069","contributors":{"authors":[{"text":"Richards, Bryan J. 0000-0001-9955-2523 brichards@usgs.gov","orcid":"https://orcid.org/0000-0001-9955-2523","contributorId":3533,"corporation":false,"usgs":true,"family":"Richards","given":"Bryan","email":"brichards@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":748416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":748417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballmann, Anne 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":140319,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":748418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nguyen, Natalie T. 0000-0001-9389-1655 ntnguyen@usgs.gov","orcid":"https://orcid.org/0000-0001-9389-1655","contributorId":195838,"corporation":false,"usgs":true,"family":"Nguyen","given":"Natalie","email":"ntnguyen@usgs.gov","middleInitial":"T.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":748419,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70200430,"text":"70200430 - 2018 - Informing research priorities for immature sea turtles through expert elicitation","interactions":[],"lastModifiedDate":"2018-10-18T14:22:32","indexId":"70200430","displayToPublicDate":"2018-10-01T14:22:26","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Informing research priorities for immature sea turtles through expert elicitation","docAbstract":"<p class=\"abstract_block\">Although sea turtles have received substantial focus worldwide, research on the immature life stages is still relatively limited. The latter is of particular importance, given that a large proportion of sea turtle populations comprises immature individuals. We set out to identify knowledge gaps and identify the main barriers hindering research in this field. We analyzed the perceptions of sea turtle experts through an online survey which gathered their opinions on the current state of affairs on immature sea turtle research, including species and regions in need of further study, priority research questions, and barriers that have interfered with the advancement of research. Our gap analysis indicates that studies on immature leatherback<span>&nbsp;</span><i>Dermochelys coriacea</i><span>&nbsp;</span>and hawksbill<span>&nbsp;</span><i>Eretmochelys imbricata</i><span>&nbsp;</span>turtles are lacking, as are studies on all species based in the Indian, South Pacific, and South Atlantic Oceans. Experts also perceived that studies in population ecology, namely on survivorship and demography, and habitat use/behavior, are needed to advance the state of knowledge on immature sea turtles. Our survey findings indicate the need for more inter-disciplinary research, collaborative efforts (e.g. data-sharing, joint field activities), and improved communication among researchers, funding bodies, stakeholders, and decision-makers.</p>","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00916","usgsCitation":"Wildermann, N.E., Gredzens, C., Avens, L., Barrios-Garrido, H.A., Bell, I., Blumenthal, J., Bolten, A.B., McNeill, J.B., Casale, P., Di Domenico, M., Domit, C.A., Epperly, S.P., Godfrey, M.H., Godley, B.J., Gonzalez-Carman, V., Hamann, M., Hart, K., Ishihara, T., Mansfield, K., Metz, T.L., Miller, J.D., Pilcher, N.J., Read, M.A., Sasso, C., Seminoff, J.A., Seney, E.E., Southwood Williard, A., Tomas, J., Velez-Rubio, G.M., Ware, M., Williams, J.L., Wyneken, J., and Fuentes, M.M., 2018, Informing research priorities for immature sea turtles through expert elicitation: Endangered Species Research, v. 37, p. 55-76, https://doi.org/10.3354/esr00916.","productDescription":"22 p.","startPage":"55","endPage":"76","ipdsId":"IP-097968","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468346,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00916","text":"Publisher Index Page"},{"id":358545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a930e4b034bf6a7e506c","contributors":{"authors":[{"text":"Wildermann, Natalie E.","contributorId":209783,"corporation":false,"usgs":false,"family":"Wildermann","given":"Natalie","email":"","middleInitial":"E.","affiliations":[{"id":37980,"text":"Marine Turtle Research, Ecology and Conservation Group, Florida State University, Tallahassee, FL, USA 32306","active":true,"usgs":false}],"preferred":false,"id":748805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gredzens, Christian","contributorId":209784,"corporation":false,"usgs":false,"family":"Gredzens","given":"Christian","email":"","affiliations":[{"id":37980,"text":"Marine Turtle Research, Ecology and Conservation Group, Florida State University, Tallahassee, FL, USA 32306","active":true,"usgs":false}],"preferred":false,"id":748806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Avens, Larisa","contributorId":204905,"corporation":false,"usgs":false,"family":"Avens","given":"Larisa","email":"","affiliations":[],"preferred":false,"id":748807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrios-Garrido, Hector A.","contributorId":209785,"corporation":false,"usgs":false,"family":"Barrios-Garrido","given":"Hector","email":"","middleInitial":"A.","affiliations":[{"id":37980,"text":"Marine Turtle Research, Ecology and Conservation Group, Florida State University, Tallahassee, FL, USA 32306","active":true,"usgs":false}],"preferred":false,"id":748808,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bell, Ian","contributorId":209786,"corporation":false,"usgs":false,"family":"Bell","given":"Ian","email":"","affiliations":[{"id":37981,"text":"Aquatic Species Program, Conservation and Biodiversity Operations Branch, Queensland Department of Environment and Science, Brisbane, Australia 4102","active":true,"usgs":false}],"preferred":false,"id":748809,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blumenthal, Janice","contributorId":174300,"corporation":false,"usgs":false,"family":"Blumenthal","given":"Janice","email":"","affiliations":[],"preferred":false,"id":748810,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bolten, Alan B.","contributorId":20247,"corporation":false,"usgs":false,"family":"Bolten","given":"Alan","email":"","middleInitial":"B.","affiliations":[{"id":12567,"text":"Archie Carr Center for Sea Turtle Research, Department of Biology, University of Florida","active":true,"usgs":false}],"preferred":false,"id":748811,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McNeill, Joanne Braun","contributorId":209787,"corporation":false,"usgs":false,"family":"McNeill","given":"Joanne","email":"","middleInitial":"Braun","affiliations":[{"id":37982,"text":"NOAA, National Marine Fisheries Service, Southeast Fisheries Science Center, Beaufort, NC, USA 28516","active":true,"usgs":false}],"preferred":false,"id":748812,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Casale, Paolo","contributorId":209788,"corporation":false,"usgs":false,"family":"Casale","given":"Paolo","email":"","affiliations":[{"id":37983,"text":"Ethology Unit, Dept. of Biology, University of Pisa, Pisa, Italy 56126","active":true,"usgs":false}],"preferred":false,"id":748813,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Di Domenico, Maikon","contributorId":209789,"corporation":false,"usgs":false,"family":"Di Domenico","given":"Maikon","email":"","affiliations":[{"id":37984,"text":"Center for Marine Studies, Federal University of Paraná, Pontal do Paraná, Paraná, Brazil 83255-000","active":true,"usgs":false}],"preferred":false,"id":748814,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Domit, Camila A.","contributorId":209790,"corporation":false,"usgs":false,"family":"Domit","given":"Camila","email":"","middleInitial":"A.","affiliations":[{"id":37985,"text":"Laboratório de Ecologia e Conservação, Marine Studies Centre, Federal University of Paraná, Pontal do Paraná, Paraná, Brazil, 83255000","active":true,"usgs":false}],"preferred":false,"id":748815,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Epperly, Sheryan P.","contributorId":200825,"corporation":false,"usgs":false,"family":"Epperly","given":"Sheryan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":748816,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Godfrey, Matthew H.","contributorId":209791,"corporation":false,"usgs":false,"family":"Godfrey","given":"Matthew","email":"","middleInitial":"H.","affiliations":[{"id":37986,"text":"North Carolina Wildlife Resources Commission; Duke University Marine Lab; Department of Clinical Sciences, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":748817,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Godley, Brendan J.","contributorId":174289,"corporation":false,"usgs":false,"family":"Godley","given":"Brendan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":748818,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Gonzalez-Carman, Victoria","contributorId":209792,"corporation":false,"usgs":false,"family":"Gonzalez-Carman","given":"Victoria","email":"","affiliations":[{"id":37987,"text":"Instituto de Investigaciones Marinas y Costeras (CONICET–UNMdP), Mar del Plata, provincia de Buenos Aires, Argentina, and Instituto de Investigación y Desarrollo Pesquero (INIDEP), Mar del Plata, provincia de Buenos Aires, Argentina","active":true,"usgs":false}],"preferred":false,"id":748819,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hamann, Mark","contributorId":149045,"corporation":false,"usgs":false,"family":"Hamann","given":"Mark","email":"","affiliations":[],"preferred":false,"id":748820,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hart, Kristen M. 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":209782,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":748804,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Ishihara, Takashi","contributorId":209793,"corporation":false,"usgs":false,"family":"Ishihara","given":"Takashi","email":"","affiliations":[{"id":37988,"text":"Suma Aqualife Park, Kobe, Hyogo, Japan 654-0049, and Sea Turtle Association of Japan, Hirakata, Osaka, Japan 573-0163","active":true,"usgs":false}],"preferred":false,"id":748821,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Mansfield, Kate","contributorId":209794,"corporation":false,"usgs":false,"family":"Mansfield","given":"Kate","email":"","affiliations":[{"id":37989,"text":"Marine Turtle Research Group, Department of Biology, University of Central Florida, Orlando, FL, USA 32816","active":true,"usgs":false}],"preferred":false,"id":748822,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Metz, Tasha L.","contributorId":191548,"corporation":false,"usgs":false,"family":"Metz","given":"Tasha","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":748823,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Miller, Jeffrey D.","contributorId":209795,"corporation":false,"usgs":false,"family":"Miller","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[{"id":37990,"text":"Biological Research and Education Consultants, Missoula, MT, USA 59801","active":true,"usgs":false}],"preferred":false,"id":748824,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Pilcher, Nicolas J.","contributorId":147504,"corporation":false,"usgs":false,"family":"Pilcher","given":"Nicolas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":748825,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Read, Mark A.","contributorId":209796,"corporation":false,"usgs":false,"family":"Read","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":37991,"text":"Great Barrier Reef Marine Park Authority, Townsville, Queensland, Australia 4810","active":true,"usgs":false}],"preferred":false,"id":748826,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Sasso, Christopher","contributorId":209797,"corporation":false,"usgs":false,"family":"Sasso","given":"Christopher","affiliations":[{"id":37992,"text":"NOAA, National Marine Fisheries Service, Southeast Fisheries Science Center, Miami, FL, USA 33149","active":true,"usgs":false}],"preferred":false,"id":748827,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Seminoff, Jeffrey A.","contributorId":209798,"corporation":false,"usgs":false,"family":"Seminoff","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[{"id":37993,"text":"NOAA, National Marine Fisheries Service, Southwest Fisheries Science Center, La Jolla, CA, USA 92037","active":true,"usgs":false}],"preferred":false,"id":748828,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Seney, Erin E.","contributorId":209799,"corporation":false,"usgs":false,"family":"Seney","given":"Erin","email":"","middleInitial":"E.","affiliations":[{"id":37994,"text":"Sea Turtle Association of Japan, Hirakata, Osaka, Japan 573-0163","active":true,"usgs":false}],"preferred":false,"id":748829,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Southwood Williard, Amanda","contributorId":209800,"corporation":false,"usgs":false,"family":"Southwood Williard","given":"Amanda","email":"","affiliations":[{"id":37995,"text":"Department of Biology and Marine Biology, University of North Carolina Wilmington, Wilmington, NC 28403","active":true,"usgs":false}],"preferred":false,"id":748830,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Tomas, Jesus","contributorId":209801,"corporation":false,"usgs":false,"family":"Tomas","given":"Jesus","email":"","affiliations":[{"id":37996,"text":"Marine Zoology Unit, Cavanilles Institute of Biodiversity and Evolutionary Biology, University of Valencia, Valencia, Spain 46071","active":true,"usgs":false}],"preferred":false,"id":748831,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Velez-Rubio, Gabriela M.","contributorId":191544,"corporation":false,"usgs":false,"family":"Velez-Rubio","given":"Gabriela","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":748832,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Ware, Matthew","contributorId":209802,"corporation":false,"usgs":false,"family":"Ware","given":"Matthew","email":"","affiliations":[{"id":37980,"text":"Marine Turtle Research, Ecology and Conservation Group, Florida State University, Tallahassee, FL, USA 32306","active":true,"usgs":false}],"preferred":false,"id":748833,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Williams, Jessica L.","contributorId":209803,"corporation":false,"usgs":false,"family":"Williams","given":"Jessica","email":"","middleInitial":"L.","affiliations":[{"id":37997,"text":"Tartarugas para o Amanhã, Praia do Tofo, Inhambane Province, Mozambique","active":true,"usgs":false}],"preferred":false,"id":748834,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Wyneken, Jeanette","contributorId":172285,"corporation":false,"usgs":false,"family":"Wyneken","given":"Jeanette","email":"","affiliations":[],"preferred":false,"id":748835,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Fuentes, Mariana M. P. B.","contributorId":209804,"corporation":false,"usgs":false,"family":"Fuentes","given":"Mariana","email":"","middleInitial":"M. P. B.","affiliations":[{"id":37980,"text":"Marine Turtle Research, Ecology and Conservation Group, Florida State University, Tallahassee, FL, USA 32306","active":true,"usgs":false}],"preferred":false,"id":748836,"contributorType":{"id":1,"text":"Authors"},"rank":33}]}}
,{"id":70202132,"text":"70202132 - 2018 - Performance assessments of a novel well design for reducing exposure to bedrock‐derived arsenic","interactions":[],"lastModifiedDate":"2019-02-11T14:20:39","indexId":"70202132","displayToPublicDate":"2018-10-01T14:20:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Performance assessments of a novel well design for reducing exposure to bedrock‐derived arsenic","docAbstract":"<p><span>Arsenic in groundwater is a serious problem in New England, particularly for domestic well owners drawing water from bedrock aquifers. The overlying glacial aquifer generally has waters with low arsenic concentrations but is less used because of frequent loss of well water during dry periods and the vulnerability to surface‐sourced bacterial contamination. An alternative, novel design for shallow wells in glacial aquifers is intended to draw water primarily from unconsolidated glacial deposits, while being resistant to drought conditions and surface contamination. Its use could greatly reduce exposure to arsenic through drinking water for domestic use. Hypothetical numerical models were used to investigate the potential hydraulic performance of the new well design in reducing arsenic exposure. The aquifer system was divided into two parts, an upper section representing the glacial sediments and a lower section representing the bedrock. The location of the well, recharge conditions, and hydraulic properties were systematically varied in a series of simulations and the potential for arsenic contamination was quantified by analyzing groundwater flow paths to the well. The greatest risk of arsenic contamination occurred when the hydraulic conductivity of the bedrock aquifer was high, or where there was upward flow from the bedrock aquifer because of the position of the well in the flow system.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12603","usgsCitation":"Winston, R.B., and Ayotte, J.D., 2018, Performance assessments of a novel well design for reducing exposure to bedrock‐derived arsenic: Groundwater, v. 56, no. 5, p. 762-769, https://doi.org/10.1111/gwat.12603.","productDescription":"8 p.","startPage":"762","endPage":"769","ipdsId":"IP-083944","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":361148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":757000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757001,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70201119,"text":"70201119 - 2018 - Tidal response of groundwater in a leaky aquifer—Application to Oklahoma","interactions":[],"lastModifiedDate":"2018-11-29T14:18:34","indexId":"70201119","displayToPublicDate":"2018-10-01T14:18:29","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Tidal response of groundwater in a leaky aquifer—Application to Oklahoma","docAbstract":"<p><span>Quantitative interpretation of the tidal response of water levels measured in wells has long been made either with a model for perfectly confined aquifers or with a model for purely unconfined aquifers. However, many aquifers may be neither totally confined nor purely unconfined at the frequencies of tidal loading but behave somewhere between the two end‐members. Here we present a more general model for the tidal response of groundwater in aquifers with both horizontal flow and vertical leakage. The model has three independent parameters: the transmissivity (</span><i>T</i><span>) and storativity (</span><i>S</i><span>) of the aquifer and the specific leakage (</span><i>K′/b′</i><span>) of the leaking aquitard, where&nbsp;</span><i>K′</i><span>&nbsp;and&nbsp;</span><i>b′</i><span>&nbsp;are the hydraulic conductivity and the thickness of the aquitard, respectively. If&nbsp;</span><i>T</i><span>&nbsp;and&nbsp;</span><i>S</i><span>&nbsp;are known independently, this model may be used to estimate aquitard leakage from the phase shift and amplitude ratio of water level in wells obtained from tidal analysis. We apply the model to interpret the tidal response of water level in a US Geological Survey (USGS) deep monitoring well installed in the Arbuckle aquifer in Oklahoma, into which massive amount of wastewater coproduced from hydrocarbon exploration has been injected. The analysis shows that the Arbuckle aquifer is leaking significantly at this site. We suggest that the present method may be effective and economical for monitoring leakage in groundwater systems, which bears on the safety of water resources, the security of underground waste repositories, and the outflow of wastewater during deep injection and hydrocarbon extraction.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2018WR022793","usgsCitation":"Wang, C., Doan, M., Xu, L., and Barbour, A., 2018, Tidal response of groundwater in a leaky aquifer—Application to Oklahoma: Water Resources Research, v. 54, no. 10, p. 8019-8033, https://doi.org/10.1029/2018WR022793.","productDescription":"15 p.","startPage":"8019","endPage":"8033","ipdsId":"IP-092698","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":468347,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018wr022793","text":"Publisher Index Page"},{"id":359805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100,\n              34.75\n            ],\n            [\n              -96,\n              34.75\n            ],\n            [\n              -96,\n              37\n            ],\n            [\n              -100,\n              37\n            ],\n            [\n              -100,\n              34.75\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"54","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-19","publicationStatus":"PW","scienceBaseUri":"5c0108d3e4b0815414cc2df3","contributors":{"authors":[{"text":"Wang, Chi-Yuen","contributorId":131171,"corporation":false,"usgs":false,"family":"Wang","given":"Chi-Yuen","email":"","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":752785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doan, Mai-Linh","contributorId":210947,"corporation":false,"usgs":false,"family":"Doan","given":"Mai-Linh","email":"","affiliations":[{"id":38161,"text":"Laboratoire ISTerre, Université Grenoble Alpes","active":true,"usgs":false}],"preferred":false,"id":752787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, Lian","contributorId":210946,"corporation":false,"usgs":false,"family":"Xu","given":"Lian","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":752786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barbour, Andrew J. 0000-0002-6890-2452 abarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":140443,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew J.","email":"abarbour@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":752784,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70201366,"text":"70201366 - 2018 - Hydrodynamics and sediment mobility processes over a degraded senile coral reef","interactions":[],"lastModifiedDate":"2022-03-21T14:47:21.241602","indexId":"70201366","displayToPublicDate":"2018-10-01T14:12:04","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Hydrodynamics and sediment mobility processes over a degraded senile coral reef","docAbstract":"<p><span>Coral reefs can influence hydrodynamics and morphodynamics by dissipating and refracting incident wave energy, modifying circulation patterns, and altering sediment transport pathways. In this study, the sediment and hydrodynamic response of a senile (dead) barrier reef (Crocker Reef, located in the upper portion of the Florida Reef Tract) to storms and quiescent conditions was evaluated using field observations and the Coupled Ocean-Atmosphere-Wave-Sediment Transport model. Waves, circulation, and resultant sediment mobility were modeled across different reef zones. Sediment mobility during quiescent periods and the passage of far-field storms are driven by nonbreaking waves and, to a lesser degree, regional circulation. Spatial variability in these processes produces the present-day distribution of sediment grain size at Crocker Reef, wherein finer-grain material along a shallow central ridge is frequently mobilized (43% to 62% of the time), winnowed away, and deposited along the lower-energy flanks and in the fore reef where sand mobility occurs less frequently (32% to 43% and 1% to 22% of the time, respectively). Analysis of wave conditions for the period of 2006–2014 supports that wave heights rarely exceed the threshold for breaking (0.1% and 0.3% at the reef crest and at the reef flat, respectively), predominantly during the passage of tropical storms. There is a shift to a wave-breaking regime during near-field storms, creating the potential for mobilization of larger material and enhanced reef degradation. Sediment mobility can be enhanced due to wave skewness or the generation of free infragravity waves during periods of depth-induced wave breaking.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JC013892","usgsCitation":"Torres-Garcia, L., Dalyander, P.S., Long, J., Zawada, D., Yates, K.K., Moore, C., and Olabarrieta, M., 2018, Hydrodynamics and sediment mobility processes over a degraded senile coral reef: Journal of Geophysical Research: Oceans, v. 123, no. 10, p. 7053-7066, https://doi.org/10.1029/2018JC013892.","productDescription":"14 p.","startPage":"7053","endPage":"7066","ipdsId":"IP-094877","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468348,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jc013892","text":"Publisher Index Page"},{"id":360173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Crocker Reef","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.71243286132812,\n              24.891419479211137\n            ],\n            [\n              -80.36087036132811,\n              24.891419479211137\n            ],\n            [\n              -80.36087036132811,\n              25.231031705373177\n            ],\n            [\n              -80.71243286132812,\n              25.231031705373177\n            ],\n            [\n              -80.71243286132812,\n              24.891419479211137\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"123","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-04","publicationStatus":"PW","scienceBaseUri":"5c10a930e4b034bf6a7e5071","contributors":{"authors":[{"text":"Torres-Garcia, Legna M. 0000-0002-6786-5944","orcid":"https://orcid.org/0000-0002-6786-5944","contributorId":149325,"corporation":false,"usgs":false,"family":"Torres-Garcia","given":"Legna M.","affiliations":[{"id":12876,"text":"Cherokee Nation Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":753820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":141015,"corporation":false,"usgs":true,"family":"Dalyander","given":"P.","email":"sdalyander@usgs.gov","middleInitial":"Soupy","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Joseph W. 0000-0003-2912-1992","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":202183,"corporation":false,"usgs":true,"family":"Long","given":"Joseph W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":1898,"corporation":false,"usgs":true,"family":"Zawada","given":"David G.","email":"dzawada@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753823,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753824,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moore, Christopher 0000-0003-3210-4878 csmoore@usgs.gov","orcid":"https://orcid.org/0000-0003-3210-4878","contributorId":149727,"corporation":false,"usgs":true,"family":"Moore","given":"Christopher","email":"csmoore@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":753825,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":211373,"corporation":false,"usgs":false,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":753826,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70200230,"text":"70200230 - 2018 - Unusual foraging observations associated with seabird die-offs in Alaska","interactions":[],"lastModifiedDate":"2018-10-19T08:53:40","indexId":"70200230","displayToPublicDate":"2018-10-01T14:08:54","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"title":"Unusual foraging observations associated with seabird die-offs in Alaska","docAbstract":"<p>We report the first documentation of off-water foraging by the Fork-tailed Storm-Petrel Oceanodroma furcata and Short-tailed Shearwater Ardenna tenuirostris, a behavior not previously documented in any member of the families Hydrobatidae or Procellariidae. Over a two-week period in September 2016, we regularly observed individuals of these species over land on an extensive intertidal zone on the Bristol Bay coast of the Alaska Peninsula. We documented irregular feeding behaviors by storm-petrels, including pattering over shallow water and sand, digging into sand to uncover food items, and feeding on beach-cast fish. We revisited the site in August 2017 and did not observe storm-petrels, but we observed four shearwaters feeding on a beach-cast fish. The aberrant feeding behaviors, paucity of stomach contents and emaciated body condition of salvaged and collected birds, together with patterns between bird occurrence and wind speed and direction, indicate to us that these birds were blown to shore while weakened by food stress or compromised health. We further suggest that these aberrant feeding behaviors may be related to massive seabird die-offs that occurred in this region during 2014–2016, die-offs in which Forktailed Storm-Petrels have heretofore not been reported as a species affected by this phenomenon. </p>","language":"English","publisher":"Marine Ornithology","usgsCitation":"Robinson, B., DeCicco, L.H., Johnson, J., and Ruthrauff, D.R., 2018, Unusual foraging observations associated with seabird die-offs in Alaska: Marine Ornithology: Journal of Seabird Research and Conservation, v. 46, p. 149-153.","productDescription":"5 p.","startPage":"149","endPage":"153","ipdsId":"IP-097839","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":358346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358345,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/content/get.cgi?rn=1269"}],"country":"United States","state":"Alaska","otherGeospatial":"Bristol Bay","volume":"46","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a930e4b034bf6a7e5073","contributors":{"authors":[{"text":"Robinson, Bryce","contributorId":209306,"corporation":false,"usgs":false,"family":"Robinson","given":"Bryce","affiliations":[{"id":13236,"text":"U.S. Fish and Wildlife Service, Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":748357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeCicco, Lucas H.","contributorId":199286,"corporation":false,"usgs":false,"family":"DeCicco","given":"Lucas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":748358,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, James A.","contributorId":84649,"corporation":false,"usgs":true,"family":"Johnson","given":"James A.","affiliations":[],"preferred":false,"id":748359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":748356,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70201797,"text":"70201797 - 2018 - Genetic diversity, effective population size, and structure among black bear populations in the Lower Mississippi Alluvial Valley, USA","interactions":[],"lastModifiedDate":"2019-01-30T14:01:21","indexId":"70201797","displayToPublicDate":"2018-10-01T14:01:14","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Genetic diversity, effective population size, and structure among black bear populations in the Lower Mississippi Alluvial Valley, USA","docAbstract":"<p><span>Multiple small populations of American black bears&nbsp;</span><i class=\"EmphasisTypeItalic \">Ursus americanus</i><span>, including the recently delisted Louisiana black bear subspecies&nbsp;</span><i class=\"EmphasisTypeItalic \">U. a. luteolus</i><span>, occupy a fragmented landscape in the Lower Mississippi Alluvial Valley, USA (LMAV). Populations include bears native to the LMAV, bears translocated from Minnesota during the 1960s, and recently reintroduced and colonizing populations sourced from within the LMAV. We estimated population structure, gene flow, and genetic parameters important to conservation of small populations using genotypes at 23 microsatellite markers for 265 bears from seven populations. We inferred five genetic clusters corresponding to the following populations: White River and western Mississippi, Tensas River and Three Rivers, Upper Atchafalaya, Lower Atchafalaya, and Minnesota. Upper Atchafalaya was suggested as the product of Minnesota-sourced translocations, but those populations have since diverged, likely because of a founder effect followed by genetic drift and isolation. An admixture zone recently developed in northeastern Louisiana and western Mississippi between migrants from White River and Tensas River, resulting in a Wahlund effect. However, gene flow among most populations has been limited and considerable genetic differentiation accumulated (global&nbsp;</span><i class=\"EmphasisTypeItalic \">F</i><sub>ST</sub><span> = 0.22), particularly among the three Louisiana black bear populations that existed when federal listing occurred. Consistent with previous bottlenecks, founder effects, and persisting isolation, all LMAV bear populations had low genetic diversity (</span><i class=\"EmphasisTypeItalic \">A</i><sub>R</sub><span> = 2.08–4.81;&nbsp;</span><i class=\"EmphasisTypeItalic \">H</i><sub>E</sub><span> = 0.36–0.63) or small effective population size (</span><i class=\"EmphasisTypeItalic \">N</i><sub>E</sub><span> = 3–49). Translocating bears among populations as part of a regional genetic restoration program may help improve genetic diversity and increase effective population sizes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10592-018-1075-6","usgsCitation":"Murphy, S.M., Laufenberg, J.S., Clark, J.D., Davidson, M., Belant, J.L., and Garshelis, D.L., 2018, Genetic diversity, effective population size, and structure among black bear populations in the Lower Mississippi Alluvial Valley, USA: Conservation Genetics, v. 19, no. 5, p. 1055-1067, https://doi.org/10.1007/s10592-018-1075-6.","productDescription":"13 p.","startPage":"1055","endPage":"1067","ipdsId":"IP-096970","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":360825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lower Mississippi Alluvial Valley","volume":"19","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Sean M.","contributorId":140195,"corporation":false,"usgs":false,"family":"Murphy","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":755397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laufenberg, Jared S.","contributorId":28899,"corporation":false,"usgs":false,"family":"Laufenberg","given":"Jared","email":"","middleInitial":"S.","affiliations":[{"id":7006,"text":"Department of Forestry, Wildlife and Fisheries, University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":755398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":755396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davidson, Maria M.","contributorId":187788,"corporation":false,"usgs":false,"family":"Davidson","given":"Maria M.","affiliations":[],"preferred":false,"id":755399,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belant, Jerrold L.","contributorId":108394,"corporation":false,"usgs":false,"family":"Belant","given":"Jerrold","email":"","middleInitial":"L.","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":755400,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garshelis, David L.","contributorId":211974,"corporation":false,"usgs":false,"family":"Garshelis","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":755401,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70200507,"text":"70200507 - 2018 - Synthesis","interactions":[],"lastModifiedDate":"2018-10-23T13:50:37","indexId":"70200507","displayToPublicDate":"2018-10-01T13:50:24","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Synthesis","docAbstract":"<p>Cranes have a close relationship with arable and pastoral agriculture that goes back hundreds, presumably thousands of years. The landscapes and ecoregions important to cranes are also those areas most conducive to agriculture. Thus, cranes and humans are attracted to the same landscapes and will therefore have futures that remain co-mingled. As such, agriculture can both benefit and inhibit crane populations. Agriculture can often benefit cranes, such as cropland that provides predictable and concentrated food sources for migrating and wintering birds or grazing that maintains open and productive grasslands that are required by territorial pairs. However, agriculture has changed significantly over the past century in extent and intensity and will continue to change rapidly into the future. Agriculture has become a key threat to the world’s crane species through the direct loss of wetland and grassland habitats and the indirect impacts of agricultural practices. Agriculture has become a key driver of crane population dynamics. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Cranes and agriculture: A global guide for sharing the landscape","language":"English","publisher":"International Crane Foundation","usgsCitation":"Morrison, K.L., and Austin, J.E., 2018, Synthesis, chap. <i>of</i> Cranes and agriculture: A global guide for sharing the landscape, p. 180-182.","productDescription":"3 p.","startPage":"180","endPage":"182","ipdsId":"IP-091222","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":358681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358620,"type":{"id":15,"text":"Index Page"},"url":"https://www.savingcranes.org/education/library/books/"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a930e4b034bf6a7e5078","contributors":{"authors":[{"text":"Morrison, Kerryn L.","contributorId":209990,"corporation":false,"usgs":false,"family":"Morrison","given":"Kerryn","email":"","middleInitial":"L.","affiliations":[{"id":16606,"text":"International Crane Foundation","active":true,"usgs":false}],"preferred":false,"id":749440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Austin, Jane E. 0000-0001-8775-2210 jaustin@usgs.gov","orcid":"https://orcid.org/0000-0001-8775-2210","contributorId":146411,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":749441,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70200506,"text":"70200506 - 2018 - Threats to cranes related to agriculture","interactions":[],"lastModifiedDate":"2018-10-23T13:47:35","indexId":"70200506","displayToPublicDate":"2018-10-01T13:47:25","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Threats to cranes related to agriculture","docAbstract":"The greatest threats to cranes worldwide are related to agricultural activities. They include direct losses of wetlands or grasslands; altered wetland hydrology due to water control systems such as dams or irrigation ditches; fire; direct and indirect impacts from agricultural chemicals; human disturbances; disease risks where cranes congregate in high densities on crops or in association with domestic birds; and collisions with power lines in cropland areas. Loss and degradation of wetland and grassland habitats by conversion to agriculture pose the greatest threats to all crane species. However, some agricultural uses of these ecosystems, such as paddy wetlands and grazing, can be beneficial to cranes and allow sustainable use by both cranes and farmers. Effects of agricultural burning on crane habitats can vary widely depending on fire severity, timing relative to plant growth and its response to burning, environmental conditions during and after fire, impact on predators and alternative prey, and relation of these factors to life-history stage for cranes. Cranes are increasingly exposed to agricultural chemicals that may affect them directly, through consumption of contaminated foods, or indirectly, through loss of important foods, or altered habitats. Cranes in agricultural areas can be intentionally or unintentionally disturbed by normal farming activities; where they directly threaten crops, farmers may destroy nests or kill birds. Birds may become habituated to some disturbances, but repeated, intensive, or targeted disturbances can result in reproductive failure, abandonment of breeding territories, or avoidance of roost or foraging areas. Dense congregations of cranes on crops increase risks of rapid spread of infectious diseases. Widespread concerns about avian collisions with power lines, a leading source of mortality or injury for some crane populations, have led to various approaches to reduce or prevent avian mortalities in problem areas. Alternative actions or programs that could help prevent or mitigate these threats are outlined.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Cranes and agriculture: A global guide for sharing the landscape","language":"English","publisher":"International Crane Foundation","usgsCitation":"Austin, J.E., 2018, Threats to cranes related to agriculture, chap. <i>of</i> Cranes and agriculture: A global guide for sharing the landscape, p. 83-116.","productDescription":"34 p.","startPage":"83","endPage":"116","ipdsId":"IP-045407","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":358680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358619,"type":{"id":15,"text":"Index Page"},"url":"https://www.savingcranes.org/education/library/books/"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a930e4b034bf6a7e507b","contributors":{"authors":[{"text":"Austin, Jane E. 0000-0001-8775-2210 jaustin@usgs.gov","orcid":"https://orcid.org/0000-0001-8775-2210","contributorId":146411,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":749197,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70200510,"text":"70200510 - 2018 - Methods to reduce conflicts between cranes and farmers","interactions":[],"lastModifiedDate":"2018-10-23T13:45:02","indexId":"70200510","displayToPublicDate":"2018-10-01T13:44:47","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Methods to reduce conflicts between cranes and farmers","docAbstract":"Alternative methods to reduce conflicts between cranes and farmers range from relatively simple, inexpensive disturbance methods to changes in land use at a landscape scale. Visual and acoustics disturbance methods can be useful for small fields or gardens but require frequent changes to prevent habituation by the cranes. Changes in farming practices can be implemented by individual farmers and matched to the local situation. By altering timing of seeding and harvest, harvest methods, and other management practices, farmers can minimize the vulnerability of the crop or its attractiveness to cranes. Crop damage can be reduced by strategically locating high-risk crops away from crane roosts or high-use areas. Diversionary fields, where cranes can forage on nutritious, preferred foods near their roost without disturbance, are one of the more effective methods to reduce crop damage. Artificial feeding may be appropriate as a temporary measure but its long-term use should only be a last option where no alternative wintering areas or food resources are available or restorable. Chemical treatment of seeds can deter cranes from taking newly sown seeds and seedlings. Conflicts with farmers can be mitigated by financial or other compensation, or through conservation approaches. Financial mechanisms should be used cautiously as they can dilute or corrupt local traditions of tolerance. An integrated approach, using several methods, is more likely to be effective in the long term. Farmers and communities are more likely to embrace alternative measures if they understand basic crane ecology and if the measures are clearly beneficial to the farmers. Developing a broader range of tools to better understand the conflict, to understand farmer perceptions of cranes, and to help implement strategies to improve positivist attitudes is necessary. Multi-disciplinary approaches that incorporate social, economic as well as ecological aspects of the issue are very rare, and much needed to develop workable solutions.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Cranes and agriculture: A global guide for sharing the landscape","language":"English","publisher":"International Crane Foundation","usgsCitation":"Austin, J.E., and Sundar, K.S., 2018, Methods to reduce conflicts between cranes and farmers, chap. <i>of</i> Cranes and agriculture: A global guide for sharing the landscape, p. 117-141.","productDescription":"25 p.","startPage":"117","endPage":"141","ipdsId":"IP-052260","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":358679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358628,"type":{"id":15,"text":"Index Page"},"url":"https://www.savingcranes.org/education/library/books/"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a930e4b034bf6a7e507d","contributors":{"authors":[{"text":"Austin, Jane E. 0000-0001-8775-2210 jaustin@usgs.gov","orcid":"https://orcid.org/0000-0001-8775-2210","contributorId":146411,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":749203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sundar, K. S. Gopi","contributorId":209956,"corporation":false,"usgs":false,"family":"Sundar","given":"K.","email":"","middleInitial":"S. Gopi","affiliations":[{"id":16606,"text":"International Crane Foundation","active":true,"usgs":false}],"preferred":false,"id":749204,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70200007,"text":"70200007 - 2018 - Geology of San Francisco","interactions":[],"lastModifiedDate":"2018-10-17T13:43:32","indexId":"70200007","displayToPublicDate":"2018-10-01T13:43:27","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geology of San Francisco","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geology of San Francisco, United States of America; Geology of the cities of the World series","language":"English","publisher":"Association of Environmental & Engineering Geologists","usgsCitation":"Graymer, R.W., Givler, R., Baldwin, J., Lettis, W., Johnson, S., Greene, H., and Dartnell, P., 2018, Geology of San Francisco, chap. <i>of</i> Geology of San Francisco, United States of America; Geology of the cities of the World series, p. 41-60.","productDescription":"20 p.","startPage":"41","endPage":"60","ipdsId":"IP-098424","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":358488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358244,"type":{"id":15,"text":"Index Page"},"url":"https://www.aegweb.org/page/GeologyCities"}],"country":"United States","state":"California","otherGeospatial":"San Francisco","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a931e4b034bf6a7e5080","contributors":{"authors":[{"text":"Graymer, Russell W. 0000-0003-4910-5682 rgraymer@usgs.gov","orcid":"https://orcid.org/0000-0003-4910-5682","contributorId":1052,"corporation":false,"usgs":true,"family":"Graymer","given":"Russell","email":"rgraymer@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":748865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Givler, Robert","contributorId":209817,"corporation":false,"usgs":false,"family":"Givler","given":"Robert","email":"","affiliations":[],"preferred":false,"id":748866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, John","contributorId":209818,"corporation":false,"usgs":false,"family":"Baldwin","given":"John","affiliations":[],"preferred":false,"id":748867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lettis, William","contributorId":61605,"corporation":false,"usgs":true,"family":"Lettis","given":"William","email":"","affiliations":[],"preferred":false,"id":748868,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Samuel","contributorId":206420,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":748870,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Greene, H. Gary","contributorId":78669,"corporation":false,"usgs":true,"family":"Greene","given":"H. Gary","affiliations":[],"preferred":false,"id":748871,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":748872,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70201571,"text":"70201571 - 2018 - Are hatchery-reared Rainbow Trout and Brown Trout effective predators on juvenile native fish?","interactions":[],"lastModifiedDate":"2018-12-18T13:42:04","indexId":"70201571","displayToPublicDate":"2018-10-01T13:42:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Are hatchery-reared Rainbow Trout and Brown Trout effective predators on juvenile native fish?","docAbstract":"<p><span>Hatchery‐reared Rainbow Trout&nbsp;</span><i>Oncorhynchus mykiss</i><span>&nbsp;and Brown Trout&nbsp;</span><i>Salmo trutta</i><span>&nbsp;are typically fed exclusively on commercially prepared pelleted feeds and have no experience catching or consuming live fish at the time of stocking. Despite this lack of predation experience, it is commonly assumed that stocked Rainbow Trout and Brown Trout will adversely impact native fish populations by preying upon juvenile native fish. We evaluated the relative predation effectiveness of wild‐caught Rainbow Trout (210–389&nbsp;mm TL) and Brown Trout (185–313&nbsp;mm TL) compared with hatchery‐reared Rainbow Trout (198–321&nbsp;mm TL) and Brown Trout (196–290&nbsp;mm TL). We used Bonytail&nbsp;</span><i>Gila elegans</i><span>(60–85&nbsp;mm TL), Humpback Chub&nbsp;</span><i>Gila cypha</i><span>&nbsp;(24–59&nbsp;mm TL), and Roundtail Chub&nbsp;</span><i>Gila robusta</i><span>&nbsp;(40–65&nbsp;mm TL) as prey in overnight predation trials conducted in the laboratory from 2013 to 2016. After 14 d in a captive setting, wild Rainbow Trout and Brown Trout consumed &gt;70% of prey in trials with no cover, while hatchery‐reared fish consumed &lt;30% of prey. In addition, we evaluated if the predation ability of hatchery fish would improve over time by feeding them Fathead Minnows&nbsp;</span><i>Pimephales promelas</i><span>, rather than pelleted feed, for up to 30&nbsp;d. Predation success of Rainbow Trout and Brown Trout increased by an average of 28% and 21%, respectively, after 14&nbsp;d of eating exclusively fish. Rainbow Trout tested after 30&nbsp;d of eating fish increased in their ability to catch and eat small prey by an average of 29%. The predation effectiveness of hatchery‐reared fish appears to improve with experience eating live fish. Although stocking Rainbow Trout and Brown Trout does increase the number of predators present in natural systems, the relative predation threat posed by hatchery‐reared fish may be less than that of wild fish, especially in locations where stocked fish do not persist. Lack of experience in catching fish and the effects of captive rearing practices and environments on both physiology and behavior all likely contribute to reduced predation effectiveness of hatchery Rainbow Trout and Brown Trout.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10216","usgsCitation":"Ward, D.L., Morton-Starner, R., and Vaage, B., 2018, Are hatchery-reared Rainbow Trout and Brown Trout effective predators on juvenile native fish?: North American Journal of Fisheries Management, v. 38, no. 5, p. 1105-1113, https://doi.org/10.1002/nafm.10216.","productDescription":"9 p.","startPage":"1105","endPage":"1113","ipdsId":"IP-089894","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":437728,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RLNCAE","text":"USGS data release","linkHelpText":"Hatchery Trout Predation Data, Arizona"},{"id":360476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-14","publicationStatus":"PW","scienceBaseUri":"5c1a1533e4b0708288c2352f","contributors":{"authors":[{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":754459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morton-Starner, Rylan rmorton-starner@usgs.gov","contributorId":5256,"corporation":false,"usgs":true,"family":"Morton-Starner","given":"Rylan","email":"rmorton-starner@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":754460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vaage, Benjamin 0000-0003-1730-4302 bvaage@usgs.gov","orcid":"https://orcid.org/0000-0003-1730-4302","contributorId":211598,"corporation":false,"usgs":true,"family":"Vaage","given":"Benjamin","email":"bvaage@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":754461,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70200508,"text":"70200508 - 2018 - Introduction to \"Cranes and Agriculture: A handbook for cranes and humans sharing the landscape\"","interactions":[],"lastModifiedDate":"2018-10-23T13:42:07","indexId":"70200508","displayToPublicDate":"2018-10-01T13:41:58","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Introduction to \"Cranes and Agriculture: A handbook for cranes and humans sharing the landscape\"","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Cranes and agriculture: A global guide for sharing the landscape","language":"English","publisher":"International Crane Foundation","usgsCitation":"Austin, J.E., Morrison, K., and Harris, J.T., 2018, Introduction to \"Cranes and Agriculture: A handbook for cranes and humans sharing the landscape\", chap. <i>of</i> Cranes and agriculture: A global guide for sharing the landscape, p. 10-17.","productDescription":"8 p.","startPage":"10","endPage":"17","ipdsId":"IP-088675","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":358626,"type":{"id":15,"text":"Index Page"},"url":"https://www.savingcranes.org/education/library/books/"},{"id":358677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a931e4b034bf6a7e5082","contributors":{"authors":[{"text":"Austin, Jane E. 0000-0001-8775-2210 jaustin@usgs.gov","orcid":"https://orcid.org/0000-0001-8775-2210","contributorId":146411,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":749198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrison, Kerryn","contributorId":209954,"corporation":false,"usgs":false,"family":"Morrison","given":"Kerryn","affiliations":[{"id":38034,"text":"Endangered Wildlife Trust (South Africa)","active":true,"usgs":false}],"preferred":false,"id":749199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, James T.","contributorId":209987,"corporation":false,"usgs":false,"family":"Harris","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":749432,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70200509,"text":"70200509 - 2018 - Interactions and impacts of domesticated animals on cranes in agriculture","interactions":[],"lastModifiedDate":"2018-10-24T10:35:29","indexId":"70200509","displayToPublicDate":"2018-10-01T13:39:41","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Interactions and impacts of domesticated animals on cranes in agriculture","docAbstract":"<p>Affiliations of most cranes to humans and agriculture means they often interact with a variety of domestic animals. Those interactions can be beneficial or neutral when domestic animal densities and their impact on wetland or grassland systems are low to moderate, as found in more traditional agricultural practices. The most common interaction is with grazers, primarily domestic ungulates such as cattle, horses, and sheep. Cranes can benefit from the rapid recycling of grassland nutrients, maintenance of open areas, and invertebrate foods that grazers facilitate. Examples of the close interactions among cranes and grazers are found in South Africa, Central Eurasia, China, India, and North America. Overgrazing and direct disturbances from domestic livestock are usually detrimental to cranes and interact with other factors such as altered wetland hydrology, fire, and changing climate. Cranes are most likely to interact with domestic birds in wetlands (ducks and geese) or farm areas (poultry) where they are attracted to areas where the domestic birds are being fed and maintained in large open areas. Risks of disease transmission between domestic birds and cranes are the greatest concern. Dogs associated with humans and agricultural activities are generally a threat where cranes are raising their chicks nearby.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Cranes and agriculture: A global guide for sharing the landscape","language":"English","publisher":"International Crane Foundation","usgsCitation":"Austin, J.E., Momose, K., and Archibald, G.W., 2018, Interactions and impacts of domesticated animals on cranes in agriculture, chap. <i>of</i> Cranes and agriculture: A global guide for sharing the landscape, p. 72-82.","productDescription":"11 p.","startPage":"72","endPage":"82","ipdsId":"IP-059709","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":358676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358627,"type":{"id":15,"text":"Index Page"},"url":"https://www.savingcranes.org/education/library/books/"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a931e4b034bf6a7e5085","contributors":{"authors":[{"text":"Austin, Jane E. 0000-0001-8775-2210 jaustin@usgs.gov","orcid":"https://orcid.org/0000-0001-8775-2210","contributorId":146411,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":749200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Momose, Kunikazu","contributorId":209955,"corporation":false,"usgs":false,"family":"Momose","given":"Kunikazu","email":"","affiliations":[{"id":38035,"text":"Tancho Protection Group, NPO, Kushiro, Japan","active":true,"usgs":false}],"preferred":false,"id":749201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Archibald, George W.","contributorId":73705,"corporation":false,"usgs":false,"family":"Archibald","given":"George","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":749202,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70201693,"text":"70201693 - 2018 - A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform","interactions":[],"lastModifiedDate":"2018-12-21T13:38:22","indexId":"70201693","displayToPublicDate":"2018-10-01T13:38:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform","docAbstract":"<p><span>Mapping high resolution (30-m or better) cropland extent over very large areas such as continents or large countries or regions accurately, precisely, repeatedly, and rapidly is of great importance for addressing the global food and water security challenges. Such cropland extent products capture individual farm fields, small or large, and are crucial for developing accurate higher-level cropland products such as cropping intensities, crop types, crop watering methods (irrigated or rainfed), crop productivity, and crop water productivity. It also brings many challenges that include handling massively large data volumes, computing power, and collecting resource intensive reference training and validation data over complex geographic and political boundaries. Thereby, this study developed a precise and accurate Landsat 30-m derived cropland extent product for two very important, distinct, diverse, and large countries: Australia and China. The study used of eight bands (blue, green, red, NIR, SWIR1, SWIR2, TIR1, and NDVI) of Landsat-8 every 16-day Operational Land Imager (OLI) data for the years 2013–2015. The classification was performed by using a pixel-based supervised random forest (RF) machine learning algorithm (MLA) executed on the Google Earth Engine (GEE) cloud computing platform. Each band was time-composited over 4–6 time-periods over a year using median value for various agro-ecological zones (AEZs) of Australia and China. This resulted in a 32–48-layer mega-file data-cube (MFDC) for each of the AEZs. Reference training and validation data were gathered from: (a) field visits, (b) sub-meter to 5-m very high spatial resolution imagery (VHRI) data, and (c) ancillary sources such as from the National agriculture bureaus. Croplands&nbsp;</span><i>versus</i><span>&nbsp;non-croplands knowledge base for training the RF algorithm were derived from MFDC using 958 reference-training samples for Australia and 2130 reference-training samples for China. The resulting 30-m cropland extent product was assessed for accuracies using independent validation samples: 900 for Australia and 1972 for China. The 30-m cropland extent product of Australia showed an overall accuracy of 97.6% with a producer’s accuracy of 98.8% (errors of omissions = 1.2%), and user’s accuracy of 79% (errors of commissions = 21%) for the cropland class. For China, overall accuracies were 94% with a producer’s accuracy of 80% (errors of omissions = 20%), and user’s accuracy of 84.2% (errors of commissions = 15.8%) for cropland class. Total cropland areas of Australia were estimated as 35.1 million hectares and 165.2 million hectares for China. These estimates were higher by 8.6% for Australia and 3.9% for China when compared with the traditionally derived national statistics. The cropland extent product further demonstrated the ability to estimate sub-national cropland areas accurately by providing an R</span><sup>2</sup><span>&nbsp;value of 0.85 when compared with province-wise cropland areas of China. The study provides a paradigm-shift on how cropland maps are produced using multi-date remote sensing. These products can be browsed at&nbsp;</span><a rel=\"noreferrer noopener\" href=\"http://www.croplands.org/\" target=\"_blank\" data-mce-href=\"http://www.croplands.org/\">www.croplands.org</a><span>&nbsp;and made available for download at NASA’s Land Processes Distributed Active Archive Center (LP DAAC)&nbsp;</span><a rel=\"noreferrer noopener\" href=\"https://www.lpdaac.usgs.gov/node/1282\" target=\"_blank\" data-mce-href=\"https://www.lpdaac.usgs.gov/node/1282\">https://www.lpdaac.usgs.gov/node/1282</a><span>.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2018.07.017","usgsCitation":"Teluguntla, P., Thenkabail, P.S., Oliphant, A., Xiong, J., Gumma, M.K., Congalton, R.G., Yadav, K., and Huete, A., 2018, A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform: ISPRS Journal of Photogrammetry and Remote Sensing, v. 144, p. 325-340, https://doi.org/10.1016/j.isprsjprs.2018.07.017.","productDescription":"16 p.","startPage":"325","endPage":"340","ipdsId":"IP-095003","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":468349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.isprsjprs.2018.07.017","text":"Publisher Index Page"},{"id":360683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia, China","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[145.39798,-40.79255],[146.36412,-41.1377],[146.90858,-41.00055],[147.68926,-40.80826],[148.28907,-40.87544],[148.35986,-42.06245],[148.0173,-42.40702],[147.91405,-43.21152],[147.56456,-42.93769],[146.87034,-43.6346],[146.66333,-43.58085],[146.04838,-43.54974],[145.43193,-42.69378],[145.29509,-42.03361],[144.71807,-41.16255],[144.74375,-40.70398],[145.39798,-40.79255]]],[[[143.56181,-13.76366],[143.9221,-14.54831],[144.56371,-14.17118],[144.89491,-14.59446],[145.37472,-14.98498],[145.27199,-15.42821],[145.48526,-16.28567],[145.63703,-16.78492],[145.8889,-16.90693],[146.16031,-17.76165],[146.06367,-18.28007],[146.38748,-18.95827],[147.47108,-19.48072],[148.1776,-19.95594],[148.84841,-20.39121],[148.71747,-20.63347],[149.28942,-21.26051],[149.67834,-22.34251],[150.07738,-22.12278],[150.48294,-22.55614],[150.72727,-22.4024],[150.89955,-23.46224],[151.60918,-24.07626],[152.07354,-24.45789],[152.8552,-25.2675],[153.13616,-26.07117],[153.16195,-26.64132],[153.09291,-27.2603],[153.56947,-28.11007],[153.51211,-28.99508],[153.3391,-29.4582],[153.06924,-30.35024],[153.0896,-30.92364],[152.89158,-31.64045],[152.45,-32.55],[151.70912,-33.04134],[151.34397,-33.81602],[151.01056,-34.31036],[150.71414,-35.17346],[150.32822,-35.67188],[150.07521,-36.42021],[149.94612,-37.10905],[149.99728,-37.42526],[149.42388,-37.77268],[148.30462,-37.80906],[147.38173,-38.21922],[146.92212,-38.60653],[146.31792,-39.03576],[145.48965,-38.59377],[144.87698,-38.41745],[145.03221,-37.89619],[144.48568,-38.08532],[143.60997,-38.80947],[142.74543,-38.53827],[142.17833,-38.38003],[141.60658,-38.30851],[140.63858,-38.01933],[139.99216,-37.40294],[139.80659,-36.6436],[139.57415,-36.13836],[139.08281,-35.73275],[138.12075,-35.6123],[138.44946,-35.12726],[138.20756,-34.38472],[137.71917,-35.07683],[136.82941,-35.26053],[137.35237,-34.70734],[137.50389,-34.13027],[137.89012,-33.64048],[137.81033,-32.90001],[136.99684,-33.75277],[136.37207,-34.09477],[135.98904,-34.89012],[135.20821,-34.47867],[135.23922,-33.94795],[134.61342,-33.22278],[134.0859,-32.84807],[134.2739,-32.61723],[132.99078,-32.01122],[132.28808,-31.98265],[131.32633,-31.4958],[129.53579,-31.59042],[128.24094,-31.94849],[127.10287,-32.28227],[126.14871,-32.21597],[125.08862,-32.72875],[124.22165,-32.95949],[124.02895,-33.48385],[123.65967,-33.89018],[122.81104,-33.91447],[122.18306,-34.0034],[121.29919,-33.82104],[120.58027,-33.93018],[119.8937,-33.97607],[119.2989,-34.50937],[119.00734,-34.46415],[118.50572,-34.74682],[118.02497,-35.06473],[117.29551,-35.02546],[116.62511,-35.0251],[115.56435,-34.38643],[115.02681,-34.19652],[115.04862,-33.62343],[115.54512,-33.48726],[115.71467,-33.25957],[115.67938,-32.90037],[115.80165,-32.20506],[115.68961,-31.61244],[115.16091,-30.60159],[114.99704,-30.03072],[115.04004,-29.4611],[114.64197,-28.81023],[114.6165,-28.5164],[114.17358,-28.11808],[114.04888,-27.33477],[113.4775,-26.54313],[113.33895,-26.11655],[113.77836,-26.54903],[113.44096,-25.62128],[113.9369,-25.91123],[114.23285,-26.29845],[114.21616,-25.78628],[113.72126,-24.99894],[113.62534,-24.68397],[113.39352,-24.38476],[113.50204,-23.80635],[113.70699,-23.56022],[113.84342,-23.05999],[113.73655,-22.47548],[114.14976,-21.75588],[114.22531,-22.51749],[114.64776,-21.82952],[115.46017,-21.49517],[115.94737,-21.06869],[116.71162,-20.70168],[117.16632,-20.6236],[117.44155,-20.7469],[118.22956,-20.37421],[118.83609,-20.26331],[118.98781,-20.0442],[119.25249,-19.95294],[119.80523,-19.97651],[120.85622,-19.68371],[121.39986,-19.23976],[121.65514,-18.70532],[122.24167,-18.19765],[122.28662,-17.7986],[122.31277,-17.25497],[123.01257,-16.4052],[123.43379,-17.26856],[123.85934,-17.06904],[123.50324,-16.59651],[123.81707,-16.11132],[124.25829,-16.32794],[124.37973,-15.56706],[124.92615,-15.0751],[125.16728,-14.6804],[125.67009,-14.51007],[125.6858,-14.23066],[126.12515,-14.34734],[126.14282,-14.09599],[126.58259,-13.95279],[127.06587,-13.81797],[127.80463,-14.27691],[128.35969,-14.86917],[128.98554,-14.87599],[129.62147,-14.96978],[129.4096,-14.42067],[129.88864,-13.6187],[130.33947,-13.35738],[130.18351,-13.10752],[130.6178,-12.53639],[131.22349,-12.18365],[131.73509,-12.30245],[132.5753,-12.11404],[132.55721,-11.60301],[131.8247,-11.27378],[132.35722,-11.12852],[133.01956,-11.37641],[133.55085,-11.78652],[134.39307,-12.04237],[134.67863,-11.94118],[135.29849,-12.24861],[135.88269,-11.96227],[136.25838,-12.04934],[136.49248,-11.85721],[136.95162,-12.35196],[136.68512,-12.88722],[136.30541,-13.29123],[135.96176,-13.32451],[136.07762,-13.72428],[135.78384,-14.22399],[135.42866,-14.71543],[135.50018,-14.99774],[136.29517,-15.55026],[137.06536,-15.87076],[137.58047,-16.21508],[138.30322,-16.8076],[138.58516,-16.80662],[139.10854,-17.06268],[139.26057,-17.3716],[140.21525,-17.7108],[140.87546,-17.36907],[141.07111,-16.83205],[141.2741,-16.38887],[141.39822,-15.84053],[141.70218,-15.04492],[141.56338,-14.56133],[141.63552,-14.27039],[141.51987,-13.69808],[141.65092,-12.94469],[141.84269,-12.74155],[141.68699,-12.40761],[141.92863,-11.87747],[142.11849,-11.32804],[142.14371,-11.04274],[142.51526,-10.66819],[142.79731,-11.15735],[142.86676,-11.78471],[143.11595,-11.90563],[143.15863,-12.32566],[143.52212,-12.83436],[143.59716,-13.40042],[143.56181,-13.76366]]],[[[110.33919,18.6784],[109.47521,18.1977],[108.65521,18.50768],[108.62622,19.36789],[109.11906,19.82104],[110.2116,20.10125],[110.78655,20.07753],[111.01005,19.69593],[110.57065,19.25588],[110.33919,18.6784]]],[[[127.65741,49.76027],[129.39782,49.4406],[130.58229,48.72969],[130.98728,47.79013],[132.50667,47.78897],[133.3736,48.18344],[135.02631,48.47823],[134.50081,47.57844],[134.11236,47.21247],[133.76964,46.11693],[133.09713,45.14407],[131.88345,45.32116],[131.02521,44.96795],[131.28856,44.11152],[131.14469,42.92999],[130.63387,42.90301],[130.64002,42.39501],[129.99427,42.98539],[129.59667,42.42498],[128.05222,41.99428],[128.20843,41.46677],[127.34378,41.50315],[126.86908,41.81657],[126.18205,41.10734],[125.07994,40.56982],[124.26562,39.92849],[122.86757,39.63779],[122.13139,39.17045],[121.05455,38.89747],[121.58599,39.36085],[121.37676,39.75026],[122.1686,40.42244],[121.64036,40.94639],[120.76863,40.59339],[119.6396,39.89806],[119.02346,39.25233],[118.04275,39.20427],[117.5327,38.73764],[118.0597,38.06148],[118.87815,37.89733],[118.91164,37.44846],[119.7028,37.15639],[120.82346,37.87043],[121.71126,37.48112],[122.35794,37.45448],[122.51999,36.93061],[121.10416,36.65133],[120.63701,36.11144],[119.66456,35.60979],[119.15121,34.90986],[120.22752,34.36033],[120.62037,33.37672],[121.22901,32.46032],[121.90815,31.69217],[121.89192,30.94935],[121.26426,30.67627],[121.50352,30.14291],[122.09211,29.83252],[121.93843,29.01802],[121.68444,28.22551],[121.12566,28.13567],[120.39547,27.05321],[119.5855,25.74078],[118.65687,24.54739],[117.28161,23.6245],[115.89074,22.78287],[114.76383,22.66807],[114.15255,22.22376],[113.80678,22.54834],[113.24108,22.05137],[111.84359,21.55049],[110.78547,21.39714],[110.44404,20.34103],[109.88986,20.28246],[109.62766,21.00823],[109.86449,21.39505],[108.52281,21.71521],[108.05018,21.55238],[107.04342,21.8119],[106.56727,22.2182],[106.7254,22.79427],[105.81125,22.97689],[105.32921,23.35206],[104.47686,22.81915],[103.50451,22.70376],[102.70699,22.7088],[102.17044,22.46475],[101.65202,22.3182],[101.80312,21.17437],[101.27003,21.20165],[101.18001,21.43657],[101.15003,21.84998],[100.41654,21.55884],[99.98349,21.74294],[99.2409,22.11831],[99.53199,22.94904],[98.89875,23.14272],[98.66026,24.06329],[97.60472,23.8974],[97.72461,25.08364],[98.67184,25.9187],[98.71209,26.74354],[98.68269,27.50881],[98.24623,27.74722],[97.91199,28.33595],[97.32711,28.26158],[96.24883,28.41103],[96.58659,28.83098],[96.11768,29.4528],[95.4048,29.03172],[94.56599,29.27744],[93.41335,28.64063],[92.50312,27.89688],[91.69666,27.77174],[91.25885,28.04061],[90.73051,28.06495],[90.01583,28.29644],[89.47581,28.04276],[88.81425,27.29932],[88.73033,28.08686],[88.12044,27.87654],[86.95452,27.97426],[85.82332,28.20358],[85.01164,28.64277],[84.23458,28.83989],[83.89899,29.32023],[83.33712,29.46373],[82.32751,30.11527],[81.5258,30.42272],[81.11126,30.18348],[79.72137,30.88271],[78.73889,31.51591],[78.45845,32.61816],[79.17613,32.48378],[79.20889,32.99439],[78.81109,33.5062],[78.91227,34.32194],[77.83745,35.49401],[76.19285,35.8984],[75.8969,36.66681],[75.15803,37.13303],[74.98,37.41999],[74.82999,37.99001],[74.86482,38.37885],[74.25751,38.60651],[73.92885,38.50582],[73.67538,39.43124],[73.96001,39.66001],[73.82224,39.89397],[74.77686,40.36643],[75.46783,40.56207],[76.52637,40.42795],[76.90448,41.06649],[78.1872,41.18532],[78.54366,41.58224],[80.11943,42.12394],[80.25999,42.35],[80.18015,42.92007],[80.86621,43.18036],[79.96611,44.91752],[81.94707,45.31703],[82.45893,45.53965],[83.18048,47.33003],[85.16429,47.00096],[85.72048,47.45297],[85.76823,48.45575],[86.59878,48.54918],[87.35997,49.21498],[87.75126,49.2972],[88.01383,48.59946],[88.8543,48.06908],[90.28083,47.69355],[90.97081,46.88815],[90.58577,45.71972],[90.94554,45.28607],[92.13389,45.11508],[93.48073,44.97547],[94.68893,44.35233],[95.30688,44.24133],[95.76245,43.31945],[96.3494,42.72564],[97.45176,42.74889],[99.51582,42.52469],[100.84587,42.6638],[101.83304,42.51487],[103.31228,41.90747],[104.52228,41.90835],[104.96499,41.59741],[106.12932,42.13433],[107.74477,42.48152],[109.2436,42.51945],[110.4121,42.87123],[111.12968,43.40683],[111.82959,43.74312],[111.66774,44.07318],[111.34838,44.45744],[111.87331,45.10208],[112.43606,45.01165],[113.46391,44.80889],[114.46033,45.33982],[115.9851,45.72724],[116.71787,46.3882],[117.4217,46.67273],[118.87433,46.80541],[119.66327,46.69268],[119.77282,47.04806],[118.86657,47.74706],[118.06414,48.06673],[117.29551,47.69771],[116.30895,47.85341],[115.74284,47.72654],[115.48528,48.13538],[116.1918,49.1346],[116.6788,49.88853],[117.87924,49.51098],[119.28846,50.14288],[119.27937,50.58291],[120.18205,51.64357],[120.73819,51.96412],[120.72579,52.51623],[120.17709,52.75389],[121.00308,53.2514],[122.24575,53.43173],[123.57151,53.4588],[125.06821,53.16104],[125.94635,52.7928],[126.5644,51.78426],[126.93916,51.35389],[127.28746,50.7398],[127.65741,49.76027]]]]},\"properties\":{\"name\":\"Australia\"}}]}","volume":"144","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1e0a31e4b0708288cb0220","contributors":{"authors":[{"text":"Teluguntla, Pardhasaradhi 0000-0001-8060-9841","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":211780,"corporation":false,"usgs":true,"family":"Teluguntla","given":"Pardhasaradhi","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":754861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":754862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oliphant, Adam 0000-0001-8622-7932 aoliphant@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-7932","contributorId":192325,"corporation":false,"usgs":true,"family":"Oliphant","given":"Adam","email":"aoliphant@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":754886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xiong, Jun 0000-0002-2320-0780 jxiong@usgs.gov","orcid":"https://orcid.org/0000-0002-2320-0780","contributorId":5276,"corporation":false,"usgs":true,"family":"Xiong","given":"Jun","email":"jxiong@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":754887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gumma, Murali Krishna 0000-0002-3760-3935","orcid":"https://orcid.org/0000-0002-3760-3935","contributorId":192327,"corporation":false,"usgs":false,"family":"Gumma","given":"Murali","email":"","middleInitial":"Krishna","affiliations":[],"preferred":false,"id":754888,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Congalton, Russell G.","contributorId":138718,"corporation":false,"usgs":false,"family":"Congalton","given":"Russell","email":"","middleInitial":"G.","affiliations":[{"id":12507,"text":"Department of Natural Resources and the Environment, University of New Hampshire, 56 College Road, Durham, NH 03824, USA","active":true,"usgs":false}],"preferred":false,"id":754889,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yadav, Kamini","contributorId":138720,"corporation":false,"usgs":false,"family":"Yadav","given":"Kamini","affiliations":[{"id":12507,"text":"Department of Natural Resources and the Environment, University of New Hampshire, 56 College Road, Durham, NH 03824, USA","active":true,"usgs":false}],"preferred":false,"id":754890,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":754891,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70197926,"text":"70197926 - 2018 - Observed climate change","interactions":[],"lastModifiedDate":"2020-12-10T21:53:57.839369","indexId":"70197926","displayToPublicDate":"2018-10-01T13:25:47","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesNumber":"NRS-181","chapter":"3","title":"Observed climate change","docAbstract":"<p>As discussed in Chapter 1, climate is one of the principal factors that have determined the composition and extent of forest ecosystems in the Mid-Atlantic region during the past several thousand years. This chapter describes the climate trends in the assessment area that have been observed during the past century, including documented patterns of climate-related processes and extreme weather events. It also presents evidence that ecosystems in the Mid-Atlantic region are already exhibiting signals that they are responding to shifts in temperature and precipitation. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"General Technical Report NRS-181, Mid-Atlantic forest ecosystem vulnerability assessment and synthesis: A report from the Mid-Atlantic Climate Change Response Framework project","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Forest Service","doi":"10.2737/NRS-GTR-181","usgsCitation":"Butler-Leopold, P.R., Iverson, L.R., Thompson, F., Brandt, L.A., Handler, S.D., Janowiak, M.K., Shannon, P.D., Swanston, C.W., Bearer, S., Bryan, A., Clark, K.L., Czarnecki, G., DeSenze, P., Dijak, W.D., Fraser, J.S., Gugger, P.F., Hille, A., Hynicka, J., Jantz, C.A., Kelly, M.C., Krause, K.M., La Puma, I.P., Landau, D., Lathrop, R.G., Leites, L.P., Madlinger, E., Matthews, S.N., Ozbay, G., Peters, M.P., Prasad, A., Schmit, D.A., Shephard, C., Shirer, R., Skowronski, N.S., Steele, A., Stout, S., Thomas-Van Gundy, M., Thompson, J., Turcotte, R.M., Weinstein, D.A., and Yanez, A., 2018, Observed climate change, chap. 3 <i>of</i> General Technical Report NRS-181, Mid-Atlantic forest ecosystem vulnerability assessment and synthesis: A report from the Mid-Atlantic Climate Change Response Framework project, p. 60-74, https://doi.org/10.2737/NRS-GTR-181.","productDescription":"15 p.","startPage":"60","endPage":"74","ipdsId":"IP-097918","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":41705,"text":"Northeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":359572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, New York, Pennsylvania","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.223388671875,\n              38.026458711461245\n            ],\n            [\n              -75.05859375,\n              38.16047628099622\n            ],\n            [\n              -74.9542236328125,\n              38.56964280859044\n            ],\n            [\n              -74.794921875,\n              38.89103282648846\n            ],\n            [\n              -74.124755859375,\n              39.56758783088905\n            ],\n            [\n              -73.8885498046875,\n              40.38002840251183\n            ],\n            [\n              -74.0203857421875,\n              40.526326510744006\n            ],\n            [\n              -73.135986328125,\n              40.58058466412761\n            ],\n            [\n              -71.7572021484375,\n              41.10832999732831\n            ],\n            [\n              -72.366943359375,\n              41.19105625669688\n            ],\n            [\n              -73.1854248046875,\n              40.98819156349393\n            ],\n            [\n              -73.7127685546875,\n              41.05035951931887\n            ],\n            [\n              -73.597412109375,\n              41.343824581185686\n            ],\n            [\n              -73.2952880859375,\n              42.775243380699706\n            ],\n            [\n              -73.30078125,\n              43.636075155965784\n            ],\n            [\n              -73.32275390625,\n              44.13097085672744\n            ],\n            [\n              -73.38317871093749,\n              44.574817404670306\n            ],\n            [\n              -73.30078125,\n              44.809121700077355\n            ],\n            [\n              -73.740234375,\n              44.653024159812\n            ],\n            [\n              -74.59716796875,\n              43.80678314779554\n            ],\n            [\n              -75.30029296875,\n              43.862257524417934\n            ],\n            [\n              -75.904541015625,\n              44.36313311380771\n            ],\n            [\n              -76.3824462890625,\n              44.11914151643737\n            ],\n            [\n              -76.17919921875,\n              43.58834891179792\n            ],\n            [\n              -76.4923095703125,\n              43.48481212891603\n            ],\n            [\n              -76.8768310546875,\n              43.27320591705845\n            ],\n            [\n              -77.442626953125,\n              43.24520272203356\n            ],\n            [\n              -77.783203125,\n              43.361132106881726\n            ],\n            [\n              -78.5357666015625,\n              43.36512572875844\n            ],\n            [\n              -79.068603515625,\n              43.241201214257885\n            ],\n            [\n              -78.81591796875,\n              42.767178634023345\n            ],\n            [\n              -79.1510009765625,\n              42.60566321006408\n            ],\n            [\n              -80.518798828125,\n              41.983994270935625\n            ],\n            [\n              -80.52429199218749,\n              39.7240885773337\n            ],\n            [\n              -77.464599609375,\n              39.7240885773337\n            ],\n            [\n              -77.51953125,\n              39.15136267949029\n            ],\n            [\n              -77.398681640625,\n              39.08743603215884\n            ],\n            [\n              -77.091064453125,\n              38.92095542046727\n            ],\n            [\n              -77.0635986328125,\n              38.724090458956965\n            ],\n            [\n              -77.2174072265625,\n              38.66835610151506\n            ],\n            [\n              -77.354736328125,\n              38.41916639395372\n            ],\n            [\n              -77.2174072265625,\n              38.35027253825765\n            ],\n            [\n              -77.025146484375,\n              38.38903340675905\n            ],\n            [\n              -77.0361328125,\n              38.302869955150044\n            ],\n            [\n              -76.83837890625,\n              38.18638677411551\n            ],\n            [\n              -76.256103515625,\n              37.88352498087131\n            ],\n            [\n              -75.223388671875,\n              38.026458711461245\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bf3d9f1e4b045bfcae0c9b7","contributors":{"authors":[{"text":"Butler-Leopold, Patricia R.","contributorId":205995,"corporation":false,"usgs":false,"family":"Butler-Leopold","given":"Patricia","email":"","middleInitial":"R.","affiliations":[{"id":37207,"text":"Northern Institute of Applied Climate Science, Michigan Technological University","active":true,"usgs":false}],"preferred":false,"id":739121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, Louis R.","contributorId":149884,"corporation":false,"usgs":false,"family":"Iverson","given":"Louis","email":"","middleInitial":"R.","affiliations":[{"id":13259,"text":"USDA Forest Service Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":739122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Frank R.","contributorId":6730,"corporation":false,"usgs":true,"family":"Thompson","given":"Frank R.","affiliations":[],"preferred":false,"id":739123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Leslie A.","contributorId":205996,"corporation":false,"usgs":false,"family":"Brandt","given":"Leslie","email":"","middleInitial":"A.","affiliations":[{"id":37208,"text":"Northern Institute of Applied Climate Science, USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":739124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Handler, Stephen D.","contributorId":205997,"corporation":false,"usgs":false,"family":"Handler","given":"Stephen","email":"","middleInitial":"D.","affiliations":[{"id":37209,"text":"Northern Institute of Applied Climate Science, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":739125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Janowiak, Maria K.","contributorId":205998,"corporation":false,"usgs":false,"family":"Janowiak","given":"Maria","email":"","middleInitial":"K.","affiliations":[{"id":37209,"text":"Northern Institute of Applied Climate Science, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":739126,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shannon, P. Danielle","contributorId":205999,"corporation":false,"usgs":false,"family":"Shannon","given":"P.","email":"","middleInitial":"Danielle","affiliations":[{"id":37207,"text":"Northern Institute of Applied Climate Science, Michigan Technological University","active":true,"usgs":false}],"preferred":false,"id":739127,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Swanston, Christopher W.","contributorId":206000,"corporation":false,"usgs":false,"family":"Swanston","given":"Christopher","email":"","middleInitial":"W.","affiliations":[{"id":37208,"text":"Northern Institute of Applied Climate Science, USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":739128,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bearer, Scott","contributorId":206001,"corporation":false,"usgs":false,"family":"Bearer","given":"Scott","email":"","affiliations":[{"id":37210,"text":"Appalachian Conservation, LLC, U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":739129,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bryan, Alexander 0000-0003-2040-7636","orcid":"https://orcid.org/0000-0003-2040-7636","contributorId":205786,"corporation":false,"usgs":true,"family":"Bryan","given":"Alexander","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":739120,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clark, Kenneth L.","contributorId":206002,"corporation":false,"usgs":false,"family":"Clark","given":"Kenneth","email":"","middleInitial":"L.","affiliations":[{"id":37211,"text":"USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":739130,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Czarnecki, Greg","contributorId":206003,"corporation":false,"usgs":false,"family":"Czarnecki","given":"Greg","email":"","affiliations":[{"id":37212,"text":"Pennsylvania Department of Conservation and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":739131,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"DeSenze, Philip","contributorId":206004,"corporation":false,"usgs":false,"family":"DeSenze","given":"Philip","email":"","affiliations":[{"id":37213,"text":"USDA Forest Service, Angeles National Forest, San Gabriel Mountains National Monument","active":true,"usgs":false}],"preferred":false,"id":739132,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dijak, William D.","contributorId":172897,"corporation":false,"usgs":false,"family":"Dijak","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":13259,"text":"USDA Forest Service Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":739133,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Fraser, Jacob S.","contributorId":206005,"corporation":false,"usgs":false,"family":"Fraser","given":"Jacob","email":"","middleInitial":"S.","affiliations":[{"id":37214,"text":"University of Missouri – Columbia","active":true,"usgs":false}],"preferred":false,"id":739134,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Gugger, Paul F.","contributorId":206006,"corporation":false,"usgs":false,"family":"Gugger","given":"Paul","email":"","middleInitial":"F.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":739135,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hille, Andrea","contributorId":206007,"corporation":false,"usgs":false,"family":"Hille","given":"Andrea","email":"","affiliations":[{"id":37216,"text":"Allegheny National Forest","active":true,"usgs":false}],"preferred":false,"id":739136,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Hynicka, Justin","contributorId":206008,"corporation":false,"usgs":false,"family":"Hynicka","given":"Justin","affiliations":[{"id":37217,"text":"American Forests","active":true,"usgs":false}],"preferred":false,"id":739137,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Jantz, Claire A.","contributorId":107477,"corporation":false,"usgs":false,"family":"Jantz","given":"Claire","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":739138,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Kelly, Matthew C.","contributorId":206009,"corporation":false,"usgs":false,"family":"Kelly","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":true,"id":739139,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Krause, Katrina M.","contributorId":206010,"corporation":false,"usgs":false,"family":"Krause","given":"Katrina","email":"","middleInitial":"M.","affiliations":[{"id":37211,"text":"USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":739140,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"La Puma, Inga P. 0000-0002-6865-820X","orcid":"https://orcid.org/0000-0002-6865-820X","contributorId":206011,"corporation":false,"usgs":false,"family":"La Puma","given":"Inga","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":739141,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Landau, Deborah","contributorId":206012,"corporation":false,"usgs":false,"family":"Landau","given":"Deborah","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":739142,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Lathrop, Richard G.","contributorId":63727,"corporation":false,"usgs":true,"family":"Lathrop","given":"Richard","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":739143,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Leites, Laura P.","contributorId":206013,"corporation":false,"usgs":false,"family":"Leites","given":"Laura","email":"","middleInitial":"P.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":739144,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Madlinger, Evan","contributorId":206014,"corporation":false,"usgs":false,"family":"Madlinger","given":"Evan","email":"","affiliations":[{"id":17659,"text":"Natural Resources Conservation Service","active":true,"usgs":false}],"preferred":false,"id":739145,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Matthews, Stephen N.","contributorId":206015,"corporation":false,"usgs":false,"family":"Matthews","given":"Stephen","email":"","middleInitial":"N.","affiliations":[{"id":37211,"text":"USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":739146,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Ozbay, Gulnihal","contributorId":206016,"corporation":false,"usgs":false,"family":"Ozbay","given":"Gulnihal","email":"","affiliations":[{"id":37219,"text":"Delaware State University","active":true,"usgs":false}],"preferred":false,"id":739147,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Peters, Matthew P.","contributorId":206017,"corporation":false,"usgs":false,"family":"Peters","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":37211,"text":"USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":739148,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Prasad, Anantha","contributorId":206018,"corporation":false,"usgs":false,"family":"Prasad","given":"Anantha","email":"","affiliations":[{"id":37211,"text":"USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":739149,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Schmit, David A.","contributorId":206019,"corporation":false,"usgs":false,"family":"Schmit","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":37212,"text":"Pennsylvania Department of Conservation and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":739150,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Shephard, Collin","contributorId":206020,"corporation":false,"usgs":false,"family":"Shephard","given":"Collin","email":"","affiliations":[{"id":37216,"text":"Allegheny National Forest","active":true,"usgs":false}],"preferred":false,"id":739151,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Shirer, Rebecca","contributorId":206021,"corporation":false,"usgs":false,"family":"Shirer","given":"Rebecca","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":739152,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Skowronski, Nicholas S.","contributorId":206022,"corporation":false,"usgs":false,"family":"Skowronski","given":"Nicholas","email":"","middleInitial":"S.","affiliations":[{"id":37211,"text":"USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":739153,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Steele, Al","contributorId":206023,"corporation":false,"usgs":false,"family":"Steele","given":"Al","email":"","affiliations":[{"id":37220,"text":"USDA Forest Service, Northeastern Area State & Private Forestry","active":true,"usgs":false}],"preferred":false,"id":739154,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Stout, Susan","contributorId":210702,"corporation":false,"usgs":false,"family":"Stout","given":"Susan","affiliations":[],"preferred":false,"id":739155,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Thomas-Van Gundy, Melissa","contributorId":206024,"corporation":false,"usgs":false,"family":"Thomas-Van Gundy","given":"Melissa","email":"","affiliations":[{"id":37211,"text":"USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":739156,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Thompson, John","contributorId":206025,"corporation":false,"usgs":false,"family":"Thompson","given":"John","affiliations":[{"id":37221,"text":"Catskill Center","active":true,"usgs":false}],"preferred":false,"id":739157,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Turcotte, Richard M.","contributorId":206026,"corporation":false,"usgs":false,"family":"Turcotte","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":37220,"text":"USDA Forest Service, Northeastern Area State & Private Forestry","active":true,"usgs":false}],"preferred":false,"id":739158,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Weinstein, David A.","contributorId":206027,"corporation":false,"usgs":false,"family":"Weinstein","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":739159,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Yanez, Alfonso","contributorId":206028,"corporation":false,"usgs":false,"family":"Yanez","given":"Alfonso","email":"","affiliations":[{"id":37222,"text":"Shippensburg University","active":true,"usgs":false}],"preferred":false,"id":739160,"contributorType":{"id":1,"text":"Authors"},"rank":41}]}}
,{"id":70202303,"text":"70202303 - 2018 - President's address for Wetland Science and Practice - October 2018","interactions":[],"lastModifiedDate":"2019-02-21T13:12:00","indexId":"70202303","displayToPublicDate":"2018-10-01T13:11:54","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5164,"text":"Wetland Science & Practice","active":true,"publicationSubtype":{"id":10}},"title":"President's address for Wetland Science and Practice - October 2018","docAbstract":"<p>As 2018 moves into its last quarter, those of us in the southern U.S. check the skies for hurricanes, academics and students return to the classroom, and researchers wrap up the last of their year’s field work. For SWS, the last quarter brings new ways to promote internationalization...</p>","language":"English","publisher":"Society of Wetland Scientists","usgsCitation":"Middleton, B.A., 2018, President's address for Wetland Science and Practice - October 2018: Wetland Science & Practice, p. 309-309.","productDescription":"1 p.","startPage":"309","endPage":"309","ipdsId":"IP-101288","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":361411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361405,"type":{"id":15,"text":"Index Page"},"url":"https://www.sws.org/category/20.html"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":757715,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70202221,"text":"70202221 - 2018 - Salt marsh loss affects tides and sediment budget in shallow bays","interactions":[],"lastModifiedDate":"2019-02-15T12:46:00","indexId":"70202221","displayToPublicDate":"2018-10-01T12:45:54","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Salt marsh loss affects tides and sediment budget in shallow bays","docAbstract":"<p><span>The current paradigm is that salt marshes and their important ecosystem services are threatened by global climate change; indeed, large marsh losses have been documented worldwide. Morphological changes associated with salt marsh erosion are expected to influence the hydrodynamics and sediment dynamics of coastal systems. Here the influence of salt marsh erosion on the tidal hydrodynamics and sediment storage capability of shallow bays is investigated. Hydrodynamics, sediment transport, and vegetation dynamics are simulated using the numerical framework Coupled Ocean‐Atmosphere‐Wave‐Sediment Transport in the Barnegat Bay‐Little Egg Harbor system, USA. We show that salt marsh erosion influences the propagation of tides into back‐barrier basins, reducing the periodic inundation and sediment delivery to marsh platforms. As salt marshes erode, the sediment trapping potential of marsh platforms decreases exponentially. In this test case, up to 50% of the sediment mass trapped by vegetation is lost once a quarter of the marsh area is eroded. Similarly, without salt marshes the sediment budget of the entire bay significantly declines. Therefore, a positive feedback might be triggered such that as the salt marsh retreats the sediment storage capacity of the system declines, which could in turn further exacerbate marsh degradation.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2018JF004617","usgsCitation":"Donatelli, C., Ganju, N., Zhang, X., Fagherazzi, S., and Leonardi, N., 2018, Salt marsh loss affects tides and sediment budget in shallow bays: Journal of Geophysical Research F: Earth Surface, v. 123, no. 10, p. 2647-2662, https://doi.org/10.1029/2018JF004617.","productDescription":"16 p.","startPage":"2647","endPage":"2662","ipdsId":"IP-091535","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468350,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2018jf004617","text":"External Repository"},{"id":361287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay-Little Egg Harbor system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.5,\n              39.4\n            ],\n            [\n              -74,\n              39.4\n            ],\n            [\n              -74,\n              40.1\n            ],\n            [\n              -74.5,\n              40.1\n            ],\n            [\n              -74.5,\n              39.4\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"123","issue":"10","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Donatelli, Carmine","contributorId":205614,"corporation":false,"usgs":false,"family":"Donatelli","given":"Carmine","email":"","affiliations":[{"id":37127,"text":"University of Liverpool, Liverpool UK","active":true,"usgs":false}],"preferred":false,"id":757311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Xiaohe","contributorId":213308,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiaohe","email":"","affiliations":[],"preferred":false,"id":757312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fagherazzi, Sergio","contributorId":89282,"corporation":false,"usgs":true,"family":"Fagherazzi","given":"Sergio","affiliations":[],"preferred":false,"id":757313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leonardi, Nicoletta","contributorId":202868,"corporation":false,"usgs":false,"family":"Leonardi","given":"Nicoletta","email":"","affiliations":[{"id":36541,"text":"University of Liverpool, Department of Geography and Planning, 74 Bedford St S.","active":true,"usgs":false}],"preferred":false,"id":757314,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197909,"text":"70197909 - 2018 - Puerto Rico and the U.S. Virgin Islands","interactions":[],"lastModifiedDate":"2018-11-19T11:54:18","indexId":"70197909","displayToPublicDate":"2018-10-01T11:54:11","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5780,"text":"NOAA  State Climate Summaries","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"149-PR","title":"Puerto Rico and the U.S. Virgin Islands","docAbstract":"<p>Average annual temperature for Puerto Rico and the U.S. Virgin Islands has increased by more than 1.5°F since 1950. Under a higher emissions pathway, historically unprecedented warming is projected by the end of the 21st century, including increases in extreme heat events. </p><p>Future changes in total precipitation are uncertain, but extreme precipitation is projected to increase, with associated increases in the intensity and frequency of flooding. </p><p>Sea level has risen by 0.6 inches per decade at San Juan, Puerto Rico since 1961, near the global sea level rise rate during the second half of the 20th century. Global sea level rise projections range from 1 to 8 feet by 2100, with similar rises projected for Puerto Rico and the U.S. Virgin Islands. Rising sea levels pose widespread and continuing threats to both natural and built environments in coastal communities. </p><p>Hurricanes are a major threat to both Puerto Rico and the U.S. Virgin Islands. Hurricane rainfall rates, storm surge heights due to sea level rise, and the number of the strongest (Category 3, 4, and 5) hurricanes are all projected to increase in a warming climate.</p>","language":"English","publisher":"NOAA","usgsCitation":"Runkle, J., Kunkel, K.E., Stevens, L.E., Champion, S., Easterling, D., Terando, A., Sun, L., Stewart, B.C., and Landers, G., 2018, Puerto Rico and the U.S. Virgin Islands: NOAA  State Climate Summaries 149-PR, 5 p.","productDescription":"5 p.","ipdsId":"IP-098723","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":359549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355350,"type":{"id":15,"text":"Index Page"},"url":"https://statesummaries.ncics.org/sites/default/files/downloads/PR-screen-hi.pdf"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bf3d9f3e4b045bfcae0c9b9","contributors":{"editors":[{"text":"Champion, Sarah 0000-0002-5080-6286","orcid":"https://orcid.org/0000-0002-5080-6286","contributorId":205982,"corporation":false,"usgs":false,"family":"Champion","given":"Sarah","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":739030,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Easterling, David","contributorId":205983,"corporation":false,"usgs":false,"family":"Easterling","given":"David","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":739031,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":739029,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Sun, Liqiang","contributorId":205984,"corporation":false,"usgs":false,"family":"Sun","given":"Liqiang","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":739032,"contributorType":{"id":2,"text":"Editors"},"rank":7},{"text":"Stewart, Brooke C.","contributorId":195288,"corporation":false,"usgs":false,"family":"Stewart","given":"Brooke","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":739033,"contributorType":{"id":2,"text":"Editors"},"rank":8},{"text":"Landers, Glenn","contributorId":205985,"corporation":false,"usgs":false,"family":"Landers","given":"Glenn","email":"","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":739034,"contributorType":{"id":2,"text":"Editors"},"rank":9}],"authors":[{"text":"Runkle, Jennifer 0000-0003-4611-1745","orcid":"https://orcid.org/0000-0003-4611-1745","contributorId":205980,"corporation":false,"usgs":false,"family":"Runkle","given":"Jennifer","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":739026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kunkel, Kenneth E.","contributorId":147887,"corporation":false,"usgs":false,"family":"Kunkel","given":"Kenneth","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":739027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stevens, Laura E. 0000-0002-8842-702X","orcid":"https://orcid.org/0000-0002-8842-702X","contributorId":205981,"corporation":false,"usgs":false,"family":"Stevens","given":"Laura","email":"","middleInitial":"E.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":739028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Champion, Sarah 0000-0002-5080-6286","orcid":"https://orcid.org/0000-0002-5080-6286","contributorId":205982,"corporation":false,"usgs":false,"family":"Champion","given":"Sarah","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":751481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Easterling, David","contributorId":205983,"corporation":false,"usgs":false,"family":"Easterling","given":"David","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":751482,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Terando, Adam 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":197511,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":751483,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sun, Liqiang","contributorId":205984,"corporation":false,"usgs":false,"family":"Sun","given":"Liqiang","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":751484,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stewart, Brooke C.","contributorId":195288,"corporation":false,"usgs":false,"family":"Stewart","given":"Brooke","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":751485,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Landers, Glenn","contributorId":205985,"corporation":false,"usgs":false,"family":"Landers","given":"Glenn","email":"","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":751486,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70201601,"text":"70201601 - 2018 - Effects of watershed and in-stream liming on macroinvertebrate communities in acidified tributaries to Honnedaga Lake, NY","interactions":[],"lastModifiedDate":"2018-12-20T11:50:18","indexId":"70201601","displayToPublicDate":"2018-10-01T11:50:12","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5792,"text":"Summary Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"18-18","title":"Effects of watershed and in-stream liming on macroinvertebrate communities in acidified tributaries to Honnedaga Lake, NY","docAbstract":"Liming techniques are being explored in many regions as a means to accelerate the recovery of aquatic biota from decades of acid deposition. The preservation or restoration of native sportfish populations has usually been the impetus for liming programs, and as such, less attention has been paid to its effects on other biological assemblages such as macroinvertebrates. In 2012, a program was initiated using in-stream and aerial (whole-watershed) liming to improve water quality and Brook Trout (Salvelinus fontinalis) recruitment in three acidified tributaries of a high-elevation lake in New York State. Concurrently, macroinvertebrates were sampled annually between 2013 and 2016 at 3 treated sites and 3 untreated reference sites to assess the effects of each liming technique on this community. Despite improvements in water chemistry in all three limed streams, our results generally suggest that neither liming technique improved the condition of macroinvertebrate communities. The watershed application caused an immediate and unsustained decrease in the density of macroinvertebrates driven largely by a one-year reduction of the acid-tolerant Leuctra stoneflies. The in-stream applications appeared to reduce the density of macroinvertebrates, particularly in one stream where undissolved lime covered the natural substrate. The inability of either liming technique to improve the condition of macroinvertebrate communities may be partly explained by the persistence of acidic episodes in all three streams. This suggests that in order to be effective, liming programs should strive to eliminate even temporary episodes of unsuitable water chemistry.","language":"English","publisher":"NYSERDA","usgsCitation":"Lampman, G., George, S.D., Baldigo, B.P., Lawrence, G.B., and Fuller, R.L., 2018, Effects of watershed and in-stream liming on macroinvertebrate communities in acidified tributaries to Honnedaga Lake, NY: Summary Report 18-18, v, 21 p.","productDescription":"v, 21 p.","ipdsId":"IP-087452","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":360624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360440,"type":{"id":15,"text":"Index Page"},"url":"https://www.nyserda.ny.gov/About/Publications/Research-and-Development-Technical-Reports/Environmental-Research-and-Development-Technical-Reports#eco"}],"country":"United States","state":"New York","otherGeospatial":"Honnedaga Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.8667,\n              43.5\n            ],\n            [\n              -74.7833,\n              43.5\n            ],\n            [\n              -74.7833,\n              43.55\n            ],\n            [\n              -74.8667,\n              43.55\n            ],\n            [\n              -74.8667,\n              43.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1cb860e4b0708288c83830","contributors":{"authors":[{"text":"Lampman, Gregory","contributorId":211768,"corporation":false,"usgs":false,"family":"Lampman","given":"Gregory","affiliations":[],"preferred":false,"id":754808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754475,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuller, Randall L.","contributorId":196969,"corporation":false,"usgs":false,"family":"Fuller","given":"Randall","email":"","middleInitial":"L.","affiliations":[{"id":35994,"text":"Colgate University, Hamilton, NY","active":true,"usgs":false}],"preferred":false,"id":754476,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70201827,"text":"70201827 - 2018 - What makes a first‐magnitude spring?: Global sensitivity analysis of a speleogenesis model to gain insight into karst network and spring genesis","interactions":[],"lastModifiedDate":"2019-01-31T11:39:35","indexId":"70201827","displayToPublicDate":"2018-10-01T11:39:20","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"What makes a first‐magnitude spring?: Global sensitivity analysis of a speleogenesis model to gain insight into karst network and spring genesis","docAbstract":"<p><span>Often, karstic conduit network geometry is unknown. This lack of knowledge represents a significant limitation when modeling flow and solute transport in karst systems. In this study, we apply Morris Method Global Sensitivity Analysis to a speleogenesis model to identify model input parameters, and combinations thereof, that most significantly influence evolution of karst conduit networks, development of first‐magnitude springs, and resulting flow and solute transport pulse responses. Based on an idealized model of the Silver Springshed in Central Florida USA, results showed that porous matrix hydraulic conductivity and parameters that govern connectivity of vertical and horizontal preferential flow paths (proto‐conduits) are the most influential parameters. In particular, a lower porous matrix conductivity is more likely to produce a first‐order magnitude spring. For the boundary conditions assumed in this application, conduits tend to develop in low topographic regions that drained nearby high regions. Morris ensemble realizations that generated first‐magnitude springs exhibit similar flow and solute transport pulse responses at the spring vent, despite differences in network configuration. However, distributed head fields are highly spatially variable, implying substantial spatial variability among solute flow paths and travel times from the land surface to the spring across realizations.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2017WR021950","usgsCitation":"Henson, W.R., de Rooij, R., and Graham, W.D., 2018, What makes a first‐magnitude spring?: Global sensitivity analysis of a speleogenesis model to gain insight into karst network and spring genesis: Water Resources Research, v. 54, no. 10, p. 7417-7434, https://doi.org/10.1029/2017WR021950.","productDescription":"18 p.","startPage":"7417","endPage":"7434","ipdsId":"IP-087767","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":437729,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S9FMOU","text":"USGS data release","linkHelpText":"Model Data Set and Executables Supporting the Journal Publication for \"What Makes a First-Magnitude Spring?--Global Uncertainty Analysis of a Speleogenesis Model to Gain Insight into Karst Spring Genesis\""},{"id":360862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-08","publicationStatus":"PW","contributors":{"authors":[{"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":755497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Rooij, Rob","contributorId":212029,"corporation":false,"usgs":false,"family":"de Rooij","given":"Rob","email":"","affiliations":[{"id":38390,"text":"University of Florida Water Institute","active":true,"usgs":false}],"preferred":false,"id":755498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Wendy D.","contributorId":196587,"corporation":false,"usgs":false,"family":"Graham","given":"Wendy","email":"","middleInitial":"D.","affiliations":[{"id":12558,"text":"University of Florida, Gainesville","active":true,"usgs":false}],"preferred":false,"id":755499,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70199911,"text":"70199911 - 2018 - Preliminary evaluation of behavioral response of nesting waterbirds to small unmanned aircraft flight","interactions":[],"lastModifiedDate":"2018-10-03T11:39:09","indexId":"70199911","displayToPublicDate":"2018-10-01T11:38:59","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Preliminary evaluation of behavioral response of nesting waterbirds to small unmanned aircraft flight","docAbstract":"<p><span>Small unmanned aircraft systems present an emerging technology with the potential to survey colonial waterbird populations while reducing disturbance in comparison to traditional ground counts. Recent research with these systems has been performed on some colonially nesting avian species; however, none have focused on wading bird species. During 2015–2016, this study tested the behavioral response of a mixed-species rookery (Cattle Egret (</span><i>Bubulcus ibis</i><span>), Snowy Egret (</span><i>Egretta thula</i><span>), Glossy Ibis (</span><i>Plegadis falcinellus</i><span>) and a groundnesting colony of Common Terns (</span><i>Sterna hirundo</i><span>)) in shrub habitat to small unmanned aircraft system flights at 12 m, 15 m, 30 m, and 50 m. Even at the lowest altitudes, the birds either showed no reaction or acclimated within 60 sec of the fly-over. Conversely, physically entering the colony to conduct ground surveys resulted in all Common Terns flushing from their nests beginning when the observer was 50 m away and required significantly more time in the colony overall: ~30–60 min vs. ~3–7 min with the small unmanned aircraft system. While this study focuses only on the behavioral response of nesting birds and not comparison of count estimates, these results provide preliminary evidence that small unmanned aircraft systems provide the potential to monitor colonial nesting bird populations while minimizing disturbance to the colony.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.041.0314","usgsCitation":"Reintsma, K., McGowan, P.C., Callahan, C.R., Collier, T., Gray, D., Sullivan, J.D., and Prosser, D.J., 2018, Preliminary evaluation of behavioral response of nesting waterbirds to small unmanned aircraft flight: Waterbirds, v. 41, no. 3, p. 326-331, https://doi.org/10.1675/063.041.0314.","productDescription":"6 p.","startPage":"326","endPage":"331","ipdsId":"IP-093211","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":358089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f81e4b0fc368eb5386d","contributors":{"authors":[{"text":"Reintsma, Kaitlyn","contributorId":208435,"corporation":false,"usgs":true,"family":"Reintsma","given":"Kaitlyn","email":"","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":747253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGowan, Peter C.","contributorId":13867,"corporation":false,"usgs":false,"family":"McGowan","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":747254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Callahan, Carl R.","contributorId":205289,"corporation":false,"usgs":false,"family":"Callahan","given":"Carl","email":"","middleInitial":"R.","affiliations":[{"id":37073,"text":"USFWS, Annapolis MD","active":true,"usgs":false}],"preferred":false,"id":747255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collier, Tom","contributorId":208436,"corporation":false,"usgs":false,"family":"Collier","given":"Tom","email":"","affiliations":[{"id":37801,"text":"UASbio","active":true,"usgs":false}],"preferred":false,"id":747256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, David","contributorId":208437,"corporation":false,"usgs":false,"family":"Gray","given":"David","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":747257,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Jeffery D.","contributorId":202910,"corporation":false,"usgs":false,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":747258,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":747252,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70201104,"text":"70201104 - 2018 - Stock structure, dynamics, demographics, and movements of walleyes spawning in four tributaries to Green Bay","interactions":[],"lastModifiedDate":"2018-11-29T11:34:28","indexId":"70201104","displayToPublicDate":"2018-10-01T11:34:21","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Stock structure, dynamics, demographics, and movements of walleyes spawning in four tributaries to Green Bay","docAbstract":"<p><span>To test assumptions related to the current conceptual model for walleye&nbsp;</span><i>Sander vitreus</i><span>management&nbsp;in Green Bay, we evaluated whether: 1) spawning aggregations in the Fox, Menominee, Oconto, and Peshtigo rivers represent genetically distinct stocks; 2)&nbsp;population dynamics&nbsp;and demographics vary among walleye spawning at these locations; 3) walleye spawning in these rivers contribute to the&nbsp;fishery&nbsp;in northern Green Bay, and 4) walleye spawning in these rivers exhibit spawning&nbsp;site fidelity&nbsp;or if they stray among rivers.&nbsp;Genetic differentiation&nbsp;among the four&nbsp;tributaries&nbsp;was low and sex-specific total length (TL), mean TL at age 5, and age-class diversity were generally similar among rivers and observed differences were not consistent. Movements of walleye inferred from angler tag returns suggest that walleye spawning (and tagged) in the four tributaries typically remain within southern Green Bay; however, this assertion may be confounded by the distribution of angling effort that provides tag recoveries. Straying rates among rivers ranged from 0 to 23% and were likely sufficient to preclude genetic differentiation among stocks. Collectively, results suggest that walleye spawning in the Fox, Menominee, Oconto, and Peshtigo rivers do not function as separate stocks and do not significantly contribute to the fishery outside of southern Green Bay. The primary assumption of the current conceptual model that remains to be tested is whether the walleye fishery in southern Green Bay is supported primarily by fish spawning in these four rivers, or if there are substantial contributions from fish spawning at other unknown locations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2018.07.002","usgsCitation":"Dembkowski, D.J., Isermann, D.A., Hogler, S., Larson, W., and Turnquist, K.N., 2018, Stock structure, dynamics, demographics, and movements of walleyes spawning in four tributaries to Green Bay: Journal of Great Lakes Research, v. 44, no. 5, p. 970-978, https://doi.org/10.1016/j.jglr.2018.07.002.","productDescription":"9 p.","startPage":"970","endPage":"978","ipdsId":"IP-090620","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":359790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Green Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.08563232421875,\n              44.49258696288604\n            ],\n            [\n              -87.01446533203125,\n              44.49258696288604\n            ],\n            [\n              -87.01446533203125,\n              45.460130637921004\n            ],\n            [\n              -88.08563232421875,\n              45.460130637921004\n            ],\n            [\n              -88.08563232421875,\n              44.49258696288604\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0108d3e4b0815414cc2df5","contributors":{"authors":[{"text":"Dembkowski, Daniel J.","contributorId":210893,"corporation":false,"usgs":false,"family":"Dembkowski","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":752690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":752688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hogler, Steven R.","contributorId":210894,"corporation":false,"usgs":false,"family":"Hogler","given":"Steven R.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":752691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":752689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turnquist, Keith N.","contributorId":210895,"corporation":false,"usgs":false,"family":"Turnquist","given":"Keith","email":"","middleInitial":"N.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":752692,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198509,"text":"sir20185106 - 2018 - Simulation of groundwater flow, 1895–2010, and effects of additional groundwater withdrawals on future stream base flow in the Elkhorn and Loup River Basins, central Nebraska—Phase three","interactions":[],"lastModifiedDate":"2018-10-02T10:59:41","indexId":"sir20185106","displayToPublicDate":"2018-10-01T11:33:36","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5106","title":"Simulation of groundwater flow, 1895–2010, and effects of additional groundwater withdrawals on future stream base flow in the Elkhorn and Loup River Basins, central Nebraska—Phase three","docAbstract":"<p>The U.S.&nbsp;Geological Survey, in cooperation with the Lewis and Clark, Lower Elkhorn, Lower Loup, Lower Platte North, Lower Niobrara, Middle Niobrara, Upper Elkhorn, and the Upper Loup Natural Resources Districts, designed a study to refine the spatial and temporal discretization of a previously modeled area. This updated study focused on a 30,000-square-mile area of the High Plains aquifer and constructed regional groundwater-flow models to evaluate the effects of groundwater withdrawal on stream base flow in the Elkhorn and Loup River Basins, Nebraska. The model was calibrated to match groundwater-level and base-flow data from the stream-aquifer system from pre-1940 through 2010 (including predevelopment [pre-1895], early development [1895–1940], and historical development [1940 through 2010] conditions) using an automated parameter-estimation method. The calibrated model then was used to simulate hypothetical development conditions (2011 through 2060). Predicted changes to stream base flow based on simulated changes to groundwater withdrawal will aid in developing strategies for management of hydrologically connected water supplies.<br></p><p>Additional wells were simulated throughout the model domain and pumped for 50&nbsp;years to assess the effect of wells on aquifer depletions, including stream base flow. The percentage of withdrawal for each well after 50&nbsp;years, which was compensated by aquifer reductions to stream base flow, storage, or evapotranspiration, was computed and mapped. These depletions are influenced by aquifer properties, time, and distance from the well. Stream base-flow depletion results showed that the closer the added well was to a stream, the greatest the effect on the stream base flow. Areas of stream base-flow depletion percentages greater than 80&nbsp;percent were generally within 1&nbsp;mile (mi) from the stream. The distance increased to 6&nbsp;mi near the confluence of the Dismal and Middle Loup Rivers, and the North Loup and Calamus Rivers. The percentage of stream base-flow depletion decreased as the distance from the stream increased. Areas more than 10&nbsp;mi from the stream generally had a stream base-flow depletion of 10&nbsp;percent or less. Evapotranspiration depletion was largest in areas closest to streams, specifically in the Elkhorn River watershed. It was also larger in areas of interdunal wetlands within the Sand Hills. Evapotranspiration depletion was negligible in areas greater than 5&nbsp;mi from a stream, with the exception of interdunal areas in Cherry, Grant, and Arthur Counties. The storage depletion percentage increased as the distance from a stream increased. Storage depletion was largest in areas between streams. Areas experiencing the smallest amount of storage depletion were adjacent to streams. Calibrated model outputs and streamflow depletion analysis are publicly available online.<br></p><p>Accuracy of the simulations is affected by input data limitations, system simplifications, assumptions, and resources available at the time of the simulation construction and calibration. Most of the important limitations relate either to data used as simulation inputs or to data used to estimate simulation inputs. Development of the regional simulations focused on generalized hydrogeologic characteristics within the study area and did not attempt to describe variations important to local-scale conditions. These simulations are most appropriate for analyzing groundwater-management scenarios for large areas and during long periods and are not suitable for analysis of small areas or short periods.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185106","collaboration":"Prepared in cooperation with the Lewis and Clark, Lower Elkhorn, Lower Loup, Lower Platte North, Lower Niobrara, Middle Niobrara, Upper Elkhorn, and  Upper Loup Natural Resources Districts","usgsCitation":"Flynn, A.T., and Stanton, J.S., 2018, Simulation of groundwater flow, 1895–2010, and effects of additional groundwater withdrawals on future stream base flow in the Elkhorn and Loup River Basins, central Nebraska—Phase three: U.S. Geological Survey Scientific Investigations Report 2018–5106, 65 p., https://doi.org/10.3133/sir20185106.","productDescription":"Report: ix, 65 p.; Data Releases","numberOfPages":"80","onlineOnly":"Y","ipdsId":"IP-085070","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":357262,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RITFNL","text":"USGS data release","description":"USGS Data Release","linkHelpText":"MODFLOW-NWT groundwater flow model used to evaluate groundwater flow in the Elkhorn and Loup River Basins, Central Nebraska, Phase Three: U.S. Geological Survey data release"},{"id":356818,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5106/coverthb3.jpg"},{"id":357263,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UA3UUD","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water-level and digital data for the Elkhorn and Loup River Basins groundwater flow model, Phase Three"},{"id":357261,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5106/sir20185106.pdf","text":"Report","size":"18.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5106"}],"country":"United States","state":"Nebraska","otherGeospatial":"Elkhorn and Loup River Basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102.14216807317632,\n              40.58107734258557\n            ],\n            [\n              -97.251923792,\n              40.58107734258557\n            ],\n            [\n              -97.251923792,\n              42.959577151422394\n            ],\n            [\n              -102.14216807317632,\n              42.959577151422394\n            ],\n            [\n              -102.14216807317632,\n              40.58107734258557\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"mailto:%20dc_ne@usgs.gov\" href=\"mailto:%20dc_ne@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/ne-water\" href=\"https://www.usgs.gov/centers/ne-water\">Nebraska Water Science Center</a><br>U.S. Geological Survey<br>5231 South 19th Street<br>Lincoln, NE 68512</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Simulation of Groundwater Flow</li><li>Simulation of Effect of Additional Groundwater Withdrawals on Future Stream Base-Flow, Evapotranspiration, and Storage Depletion</li><li>Model Assumptions</li><li>Model Limitations</li><li>Summary</li><li>References Cited</li><li>Appendix Figures</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2018-10-01","noUsgsAuthors":false,"publicationDate":"2018-10-01","publicationStatus":"PW","scienceBaseUri":"5bc02f82e4b0fc368eb5386f","contributors":{"authors":[{"text":"Flynn, Amanda T. 0000-0001-9768-2076 aflynn@usgs.gov","orcid":"https://orcid.org/0000-0001-9768-2076","contributorId":176644,"corporation":false,"usgs":true,"family":"Flynn","given":"Amanda","email":"aflynn@usgs.gov","middleInitial":"T.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanton, Jennifer S. 0000-0002-2520-753X jstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-2520-753X","contributorId":830,"corporation":false,"usgs":true,"family":"Stanton","given":"Jennifer","email":"jstanton@usgs.gov","middleInitial":"S.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741805,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70201106,"text":"70201106 - 2018 - Evaluation of anal fin spines, otoliths, and scales for estimating age and back-calculated lengths of yellow perch in southern Green Bay","interactions":[],"lastModifiedDate":"2018-11-29T11:31:48","indexId":"70201106","displayToPublicDate":"2018-10-01T11:31:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of anal fin spines, otoliths, and scales for estimating age and back-calculated lengths of yellow perch in southern Green Bay","docAbstract":"<p><span>Southern Green Bay supports important&nbsp;fisheries&nbsp;for yellow perch&nbsp;</span><i>Perca flavescens</i><span>&nbsp;and valid estimates of&nbsp;age structure&nbsp;and growth are critical to effective&nbsp;management. Anal fin spines and scales are used by the&nbsp;Wisconsin&nbsp;Department of Natural Resources for age estimation, but these structures may provide lower precision and accuracy than&nbsp;otoliths. The primary objective of our assessment was to determine if age estimates, among-reader precision, and mean back-calculated total lengths (TLs) at age differed among scales, anal fin spines, and otoliths. Ages estimated from anal fin spines were more precise than scale ages, were as precise as otolith-based ages, and generally agreed with consensus ages estimated from sectioned otoliths. Relationships between TL and radii of calcified structures were linear for scales, anal spines, and otoliths along two different transects. Mean back-calculated TLs were generally similar between intercept-corrected direct proportion (ICDP) and linear regression (LR) models, but otolith-based direct proportion models (no intercept correction) generally provided higher back-calculated mean TLs at ages 1 and 2 than ICDP and LR models. Mean back-calculated TLs at age estimated from whole otoliths were higher than estimates for other structures; but differences among anal fin spines, scales, and sectioned otoliths were &lt;10 mm. Our results suggest biologists have little to gain by switching to otoliths when assessing age structure and growth for this fast-growing yellow perch population with relatively few fish ≥age 6, but additional analyses are warranted for slower-growing perch populations in the Great Lakes where older fish are more common.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2018.06.002","usgsCitation":"Isermann, D.A., Breeggemann, J.J., and Paroli, T.J., 2018, Evaluation of anal fin spines, otoliths, and scales for estimating age and back-calculated lengths of yellow perch in southern Green Bay: Journal of Great Lakes Research, v. 44, no. 5, p. 979-989, https://doi.org/10.1016/j.jglr.2018.06.002.","productDescription":"11 p.","startPage":"979","endPage":"989","ipdsId":"IP-090742","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":359789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Green Bay","volume":"44","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0108d4e4b0815414cc2df7","contributors":{"authors":[{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":752697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breeggemann, Jason J.","contributorId":149395,"corporation":false,"usgs":false,"family":"Breeggemann","given":"Jason","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":752698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paroli, Tammie J.","contributorId":210899,"corporation":false,"usgs":false,"family":"Paroli","given":"Tammie","email":"","middleInitial":"J.","affiliations":[{"id":38155,"text":"WI DNR","active":true,"usgs":false}],"preferred":false,"id":752699,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}