{"pageNumber":"786","pageRowStart":"19625","pageSize":"25","recordCount":184617,"records":[{"id":70216768,"text":"70216768 - 2019 - Fate and transport of nitrapyrin in agroecosystems: Occurrence in agricultural soils, subsurface drains, and receiving streams in the Midwestern US","interactions":[],"lastModifiedDate":"2020-12-04T21:52:28.857406","indexId":"70216768","displayToPublicDate":"2018-10-02T15:48:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Fate and transport of nitrapyrin in agroecosystems: Occurrence in agricultural soils, subsurface drains, and receiving streams in the Midwestern US","docAbstract":"<p><span>Nitrapyrin is a nitrification inhibitor that is co-applied with nitrogen&nbsp;fertilizer&nbsp;in agroecosystems. There is limited information on the fate of nitrapyrin after it is applied to agricultural soils. Over the course of one year (March 2016 to June 2017), 192 water samples from seven streams across Iowa and Illinois were analyzed for nitrapyrin, its metabolite 6‑chloropicolinic acid (6‑CPA), and three widely used herbicides&nbsp;acetochlor,&nbsp;</span>atrazine<span>, and&nbsp;metolachlor. Additional environmental samples were collected and analyzed in spring 2017: 63 water samples from eight subsurface drains in Illinois, and 33 soil samples from a field in Iowa that received direct application of nitrapyrin. Nitrapyrin was detected in all seven streams (56% detection) with concentrations ranging from less than LOD to 1200 ng/L; 6‑CPA was detected in six of the seven streams (13% detection) with concentrations ranging from less than LOD to 13 ng/L. Nitrapyrin was detected in 10% of the subsurface drain samples with concentrations ranging from less than LOD to 12 ng/L; 6‑CPA was detected in six of the eight subsurface drains and in 33% of drain samples with concentrations ranging from less than LOD to 6 ng/L. Nitrapyrin was detected in 67% of the soil samples collected, and concentrations ranged from less than LOD to 42 ng/g. Generally, all three herbicides were detected more frequently and at higher concentrations than nitrapyrin in the streams, subsurface drains, and soils. The environmental fate of nitrapyrin after application is dominated by&nbsp;sorption&nbsp;to soil and off-field transport via leaching and&nbsp;overland flow.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.09.387","usgsCitation":"Woodward, E., Kolpin, D., Zheng, W., Holm, N.L., Meppelink, S.M., Terrio, P.J., and Hladik, M.L., 2019, Fate and transport of nitrapyrin in agroecosystems: Occurrence in agricultural soils, subsurface drains, and receiving streams in the Midwestern US: Science of the Total Environment, v. 650, no. 23-24, p. 2830-2841, https://doi.org/10.1016/j.scitotenv.2018.09.387.","productDescription":"12 p.","startPage":"2830","endPage":"2841","ipdsId":"IP-099070","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":468083,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.09.387","text":"Publisher Index Page"},{"id":437627,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91OESMG","text":"USGS data release","linkHelpText":"Nitrapyrin, 6-CPA, and herbicide concentrations in agricultural soils, subsurface drains, and corresponding streams in the Midwestern US"},{"id":381003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.17578124999999,\n              41.672911819602085\n            ],\n            [\n              -92.197265625,\n              43.03677585761058\n            ],\n            [\n              -94.1748046875,\n              43.26120612479979\n            ],\n            [\n      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Program","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zheng, Wei","contributorId":207063,"corporation":false,"usgs":false,"family":"Zheng","given":"Wei","email":"","affiliations":[{"id":37449,"text":"Jilin Academy of Fishery Science, Jilin, People's Republic of China, 130033","active":true,"usgs":false}],"preferred":false,"id":806142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holm, Nancy L","contributorId":245406,"corporation":false,"usgs":false,"family":"Holm","given":"Nancy","email":"","middleInitial":"L","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":806143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meppelink, Shannon M. 0000-0003-1294-7878","orcid":"https://orcid.org/0000-0003-1294-7878","contributorId":205653,"corporation":false,"usgs":true,"family":"Meppelink","given":"Shannon","email":"","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806144,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Terrio, Paul J. 0000-0002-1515-9570 pjterrio@usgs.gov","orcid":"https://orcid.org/0000-0002-1515-9570","contributorId":3313,"corporation":false,"usgs":true,"family":"Terrio","given":"Paul","email":"pjterrio@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806145,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806146,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70199420,"text":"70199420 - 2019 - Mortality of little brown bats (Myotis lucifugus carissima) naturally exposed to microcystin-LR","interactions":[],"lastModifiedDate":"2019-09-12T06:41:41","indexId":"70199420","displayToPublicDate":"2018-10-02T13:24:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mortality of little brown bats (<i>Myotis lucifugus carissima</i>) naturally exposed to microcystin-LR","title":"Mortality of little brown bats (Myotis lucifugus carissima) naturally exposed to microcystin-LR","docAbstract":"<p><span>We describe a die-off of little brown bats (</span><i>Myotis lucifugus carissima</i><span>) associated with acute intoxication with microcystin-LR in 2016 at Scofield Reservoir in Utah. High levels of this cyanotoxin in water from the reservoir and gastrointestinal content of bats supported this diagnosis.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2018-02-047","usgsCitation":"Isidoro Ayza, M., Jones, L.C., Dusek, R.J., Lorch, J.M., Landsberg, J.H., Wilson, P., and Graham, S., 2019, Mortality of little brown bats (Myotis lucifugus carissima) naturally exposed to microcystin-LR: Journal of Wildlife Diseases, v. 55, no. 1, p. 266-270, https://doi.org/10.7589/2018-02-047.","productDescription":"5 p.","startPage":"266","endPage":"270","ipdsId":"IP-096936","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":357394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Scofield Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.20292663574217,\n              39.74019436504727\n            ],\n            [\n              -111.09683990478516,\n              39.74019436504727\n            ],\n            [\n              -111.09683990478516,\n              39.82119422647453\n            ],\n            [\n              -111.20292663574217,\n              39.82119422647453\n            ],\n            [\n              -111.20292663574217,\n              39.74019436504727\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f9ee4b0fc368eb5390b","contributors":{"authors":[{"text":"Isidoro Ayza, Marcos 0000-0002-9380-7254 misidoroayza@usgs.gov","orcid":"https://orcid.org/0000-0002-9380-7254","contributorId":192509,"corporation":false,"usgs":true,"family":"Isidoro Ayza","given":"Marcos","email":"misidoroayza@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":745204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Lee C.","contributorId":149998,"corporation":false,"usgs":false,"family":"Jones","given":"Lee","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":745205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":745206,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":745207,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landsberg, Jan H.","contributorId":207918,"corporation":false,"usgs":false,"family":"Landsberg","given":"Jan","email":"","middleInitial":"H.","affiliations":[{"id":37664,"text":"Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, St. Petersburg, FL, USA","active":true,"usgs":false}],"preferred":false,"id":745208,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Patrick","contributorId":207919,"corporation":false,"usgs":false,"family":"Wilson","given":"Patrick","email":"","affiliations":[{"id":37664,"text":"Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, St. Petersburg, FL, USA","active":true,"usgs":false}],"preferred":false,"id":745209,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Graham, Stephanie","contributorId":207920,"corporation":false,"usgs":false,"family":"Graham","given":"Stephanie","email":"","affiliations":[{"id":37665,"text":"Field Office, U.S. Fish and Wildlife Service, West Valley City, UT, USA","active":true,"usgs":false}],"preferred":false,"id":745210,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204107,"text":"70204107 - 2019 - Population vulnerability to tsunami hazards informed by previous and projected disasters: A case study of American Samoa","interactions":[],"lastModifiedDate":"2019-07-05T16:35:02","indexId":"70204107","displayToPublicDate":"2018-10-01T16:32:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Population vulnerability to tsunami hazards informed by previous and projected disasters: A case study of American Samoa","docAbstract":"<p><span>Population vulnerability from tsunamis is a function of the number and location of individuals in hazard zones and their ability to reach safety before wave arrival. Previous tsunami disasters can provide insight on likely evacuation behavior, but post-disaster assessments have not been used extensively in evacuation modeling. We demonstrate the utility of post-disaster assessments in pedestrian evacuation modeling for tsunami hazards and use the US territory of American Samoa as our case study. We model pedestrian travel times out of tsunami inundation zones recreated for the 2009&nbsp;</span><i class=\"EmphasisTypeItalic \">M</i><sub>w</sub><span>&nbsp;8.1 Samoa earthquake, as well as for a probable maximum tsunami zone for future threats. Modeling assumptions are guided by fatality trends and observations of 2009 evacuation behavior, including insights on departure delays, environmental cues, transportation mode, and demographic characteristics. Differences in actual fatalities from the 2009 disaster and modeled population vulnerability suggest that a single set of estimated travel times to safety does not fully characterize evacuation potential of a dispersed, at-risk population. Efforts to prepare coastal communities in American Samoa for future tsunamis may be challenging given substantial differences in wave characteristics and evacuation potential of the probable maximum hazard compared to the 2009 event.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11069-018-3493-7","usgsCitation":"Wood, N.J., Jones, J.M., Yamazaki, Y., Cheung, K., Brown, J., Jones, J., and Abdollahian, N., 2019, Population vulnerability to tsunami hazards informed by previous and projected disasters: A case study of American Samoa: Natural Hazards, v. 95, no. 3, p. 505-528, https://doi.org/10.1007/s11069-018-3493-7.","productDescription":"24 p.","startPage":"505","endPage":"528","ipdsId":"IP-094726","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":460567,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11069-018-3493-7","text":"Publisher Index Page"},{"id":437629,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9USLV20","text":"USGS data release","linkHelpText":"Pedestrian tsunami evacuation results for two tsunami-inundation zones (2009 and probable maximum tsunami (PMT)) and four travel speeds (slow walk, fast walk, slow run, and fast run) for American Samoa"},{"id":365315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"American Samoa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -170.5675506591797,\n              -14.246414530379399\n            ],\n            [\n              -170.5792236328125,\n              -14.2477455837054\n            ],\n            [\n              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]\n}","volume":"95","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":765544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":765545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yamazaki, Yoshiki","contributorId":216792,"corporation":false,"usgs":false,"family":"Yamazaki","given":"Yoshiki","email":"","affiliations":[{"id":39517,"text":"University of Hawaii at Mano","active":true,"usgs":false}],"preferred":false,"id":765546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheung, Kwok-Fai","contributorId":216793,"corporation":false,"usgs":false,"family":"Cheung","given":"Kwok-Fai","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":765547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Jacinta","contributorId":216794,"corporation":false,"usgs":false,"family":"Brown","given":"Jacinta","email":"","affiliations":[{"id":39518,"text":"American Samoa Department of Homeland Security","active":true,"usgs":false}],"preferred":false,"id":765548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Jamie 0000-0002-9967-3314 jamiejones@usgs.gov","orcid":"https://orcid.org/0000-0002-9967-3314","contributorId":204514,"corporation":false,"usgs":true,"family":"Jones","given":"Jamie","email":"jamiejones@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":765549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Abdollahian, Nina 0000-0002-8607-2202","orcid":"https://orcid.org/0000-0002-8607-2202","contributorId":216795,"corporation":false,"usgs":false,"family":"Abdollahian","given":"Nina","affiliations":[{"id":38050,"text":"Contractor","active":true,"usgs":false}],"preferred":false,"id":765550,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70205192,"text":"70205192 - 2019 - In vivo effects of 17α-ethinylestradiol, 17B-estradiol and 4-nonylphenol on insulin-like growth-factor binding proteins (igfbps) in Atlantic salmon","interactions":[],"lastModifiedDate":"2019-09-06T08:29:13","indexId":"70205192","displayToPublicDate":"2018-10-01T15:33:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<i>In vivo</i> effects of 17α-ethinylestradiol, 17β-estradiol and 4-nonylphenol on <i>insulin-like growth-factor binding proteins (igfbps)</i> in Atlantic salmon","title":"In vivo effects of 17α-ethinylestradiol, 17B-estradiol and 4-nonylphenol on insulin-like growth-factor binding proteins (igfbps) in Atlantic salmon","docAbstract":"<p><span>Feminizing endocrine disrupting compounds (EDCs) affect the growth and development of teleost fishes. The major regulator of growth performance, the growth hormone (Gh)/insulin-like growth-factor (Igf) system, is sensitive to estrogenic compounds and mediates certain physiological and potentially behavioral consequences of EDC exposure. Igf binding proteins (Igfbps) are key modulators of Igf activity, but their alteration by EDCs has not been examined. We investigated two life-stages (fry and smolts) of Atlantic salmon (</span><i>Salmo salar</i><span>), and characterized how the Gh/Igf/Igfbp system responded to waterborne 17α-ethinylestradiol (EE</span><sub>2</sub><span>), 17β-estradiol (E</span><sub>2</sub><span>) and 4-nonylphenol (NP). Fry exposed to EE</span><sub>2</sub><span>&nbsp;and NP for 21 days had increased hepatic&nbsp;</span><i>vitellogenin</i><span>&nbsp;(</span><i>vtg</i><span>) mRNA levels while hepatic&nbsp;</span><i>estrogen receptor α</i><span>&nbsp;(</span><i>erα</i><span>),&nbsp;</span><i>gh receptor (ghr)</i><span>,&nbsp;</span><i>igf1</i><span>&nbsp;and&nbsp;</span><i>igf2</i><span>&nbsp;mRNA levels were decreased. NP-exposed fry had reduced body mass and total length compared to controls. EE</span><sub>2</sub><span>&nbsp;and NP reduced hepatic&nbsp;</span><i>igfbp1b1</i><span>,&nbsp;</span><i>-2a</i><span>,&nbsp;</span><i>-2b1</i><span>,&nbsp;</span><i>-4</i><span>,&nbsp;</span><i>-5b2</i><span>&nbsp;and&nbsp;</span><i>-6b1</i><span>, and stimulated&nbsp;</span><i>igfbp5a</i><span>. In smolts, hepatic&nbsp;</span><i>vtg</i><span>&nbsp;mRNA levels were induced following 4-day exposures to all three EDCs, while&nbsp;</span><i>erα</i><span>&nbsp;only responded to EE</span><sub>2</sub><span>&nbsp;and E</span><sub>2</sub><span>. EDC exposures did not affect body mass or fork length; however, EE</span><sub>2</sub><span>&nbsp;diminished plasma Gh and Igf1 levels in parallel with reductions in hepatic&nbsp;</span><i>ghr</i><span>&nbsp;and&nbsp;</span><i>igf1</i><span>. In smolts, EE</span><sub>2</sub><span>&nbsp;and E</span><sub>2</sub><span>&nbsp;diminished hepatic&nbsp;</span><i>igfbp1b1</i><span>,&nbsp;</span><i>-4</i><span>&nbsp;and&nbsp;</span><i>-6b1</i><span>, and stimulated&nbsp;</span><i>igfbp5a</i><span>. There were no signs of compromised ionoregulation in smolts, as indicated by unchanged branchial ion pump/transporter mRNA levels. We conclude that hepatic&nbsp;</span><i>igfbps</i><span>&nbsp;respond (directly and/or indirectly) to environmental estrogens during two key life-stages of Atlantic salmon, and thus may modulate the growth and development of exposed individuals.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2018.07.018","usgsCitation":"Breves, J.P., Duffy, T.A., Einarsdottir, I.E., Bjornsson, B.T., and McCormick, S.D., 2019, In vivo effects of 17α-ethinylestradiol, 17B-estradiol and 4-nonylphenol on insulin-like growth-factor binding proteins (igfbps) in Atlantic salmon: Aquatic Toxicology, v. 203, p. 28-39, https://doi.org/10.1016/j.aquatox.2018.07.018.","productDescription":"12 p.","startPage":"28","endPage":"39","ipdsId":"IP-094300","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aquatox.2018.07.018","text":"Publisher Index Page"},{"id":367233,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"203","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Breves, Jason P.","contributorId":6349,"corporation":false,"usgs":false,"family":"Breves","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":770300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duffy, Tara A.","contributorId":139213,"corporation":false,"usgs":false,"family":"Duffy","given":"Tara","email":"","middleInitial":"A.","affiliations":[{"id":12699,"text":"Louisiana Universities Marine Consortium","active":true,"usgs":false}],"preferred":false,"id":770301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Einarsdottir, Ingibjorg E.","contributorId":173274,"corporation":false,"usgs":false,"family":"Einarsdottir","given":"Ingibjorg","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":770302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bjornsson, Bjorn Thrandur","contributorId":173275,"corporation":false,"usgs":false,"family":"Bjornsson","given":"Bjorn","email":"","middleInitial":"Thrandur","affiliations":[],"preferred":false,"id":770303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":770299,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204439,"text":"70204439 - 2019 - Estimating forest canopy cover dynamics in Valles Caldera National Preserve, New Mexico, using LiDAR and Landsat data","interactions":[],"lastModifiedDate":"2019-07-23T14:41:00","indexId":"70204439","displayToPublicDate":"2018-10-01T14:38:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":836,"text":"Applied Geography","active":true,"publicationSubtype":{"id":10}},"title":"Estimating forest canopy cover dynamics in Valles Caldera National Preserve, New Mexico, using LiDAR and Landsat data","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>Increasing tree&nbsp;canopy&nbsp;cover has led to increasing&nbsp;wildfire&nbsp;activity in conifer dominated areas of the southwestern United States. Estimating historical changes in the spatial distribution of tree canopy cover can provide further insights into the dynamics of forest and fuel conditions in these landscapes and help prioritize areas for restoration to mitigate wildfire risks and restore biological functioning. In this study, we explored the relationship between LiDAR derived canopy cover data and&nbsp;Landsat&nbsp;reflectance&nbsp;values, and derived a model to estimate percent canopy cover (PCC) on historical Landsat data from 1987 to 2015 for the Valles&nbsp;Caldera&nbsp;National Preserve (VCNP), located in the southwest Jemez Mountains of New Mexico. We developed a&nbsp;regression model&nbsp;between LiDAR generated canopy cover collected in June 2010 and Landsat Thematic Mapper (TM) reflectance values (bands 1–7 except band 6) and&nbsp;vegetation indices&nbsp;collected for the same date. About 5% (17,000) of the total LiDAR points (329,102) were used as training points and a separate, non-overlapping set of 17,000 points as test points to validate the regression model. A simple linear model with the red band (band 3;&nbsp;</span><i>R</i><sup><i>2</i></sup><span> = 0.70) was selected as the best model to predict PCC in the rest of the images for 1987–2015. In general, we found a strong consistency between the spatial dynamics of modelled tree canopy cover based on historical Landsat data, wildfire events and forest&nbsp;management practicesthat occurred during the same period. Results showed that about 11% of the&nbsp;study area&nbsp;experienced an increase in PCC for the period of 1987–2015 while 41% of the study area experienced a reduction in PCC during the same time period, mostly in the areas which were affected by stand replacing wildfires in 2011 and 2013. The results indicate an overall increase in medium and high canopy cover classes in specific&nbsp;regions&nbsp;of the study area, which could lead to hazardous wildfires such as those in 2011 and 2013. In the context of ongoing&nbsp;ecological restoration&nbsp;of these&nbsp;montane forests, predicted PCC of contemporary forests could help local managers to identify the areas in the need of immediate restoration efforts by focusing management practices on the areas with closed canopy.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeog.2018.07.024","usgsCitation":"Cain, J.W., Humagain1, K., Portillo-Quintero1, C., and Cox1, R.D., 2019, Estimating forest canopy cover dynamics in Valles Caldera National Preserve, New Mexico, using LiDAR and Landsat data: Applied Geography, v. 99, p. 120-132, https://doi.org/10.1016/j.apgeog.2018.07.024.","productDescription":"13 p.","startPage":"120","endPage":"132","ipdsId":"IP-083749","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":365870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Valles Caldera National Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.0562744140625,\n              35.51881428123057\n            ],\n            [\n              -105.9466552734375,\n              35.51881428123057\n            ],\n            [\n              -105.9466552734375,\n              36.328402729422656\n            ],\n            [\n              -107.0562744140625,\n              36.328402729422656\n            ],\n            [\n              -107.0562744140625,\n              35.51881428123057\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"99","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":766911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Humagain1, Kamal","contributorId":217501,"corporation":false,"usgs":false,"family":"Humagain1","given":"Kamal","email":"","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":766912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Portillo-Quintero1, Carlos","contributorId":217502,"corporation":false,"usgs":false,"family":"Portillo-Quintero1","given":"Carlos","email":"","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":766913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cox1, Robert D.","contributorId":217503,"corporation":false,"usgs":false,"family":"Cox1","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":37463,"text":"TTU","active":true,"usgs":false}],"preferred":false,"id":766914,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204589,"text":"70204589 - 2019 - Toxicity assessment of groundwater contaminated by petroleum hydrocarbons at a well-characterized, aged, crude oil release site","interactions":[],"lastModifiedDate":"2019-08-06T11:47:24","indexId":"70204589","displayToPublicDate":"2018-10-01T11:45:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity assessment of groundwater contaminated by petroleum hydrocarbons at a well-characterized, aged, crude oil release site","docAbstract":"Management of petroleum-impacted waters by monitored natural attenuation requires an understanding of the toxicology of both the original compounds released and the transformation products formed during natural breakdown. Here, we report data from a groundwater plume consisting of a mixture of crude oil compounds and transformation products in an effort to bridge the gap between groundwater quality information and potential biological effects of human exposures. Groundwater samples were characterized for redox processes, concentrations of nonvolatile dissolved organic carbon (NVDOC) and total petroleum hydrocarbons in the diesel range, as well as for activation of human nuclear receptors (hNR) and toxicologically relevant transcriptional pathways. Results show upregulation of several biological pathways, including peroxisome proliferator-activated receptor gamma and alpha, estrogen receptor alpha, and pregnane X receptor (PXR) with higher levels of hNR activity observed in more contaminated samples. Our study of affected groundwater contaminated by a crude-oil release 39 years ago shows these types of waters may have the potential to cause adverse impacts on development, endocrine, and liver functioning in exposed populations. Additionally, positive trends in activation of some of the molecular targets (e.g., PXR) with increasing NVDOC concentrations (including polar transformation products) demonstrate the importance of improving our understanding of the toxicity associated with the unknown transformation products present in hydrocarbon-impacted waters. Our results begin to provide insight into the potential toxicity of petroleum-impacted waters, which is particularly timely given the ubiquitous nature of waters impacted by petroleum contamination not only recently but also in the past and the need to protect drinking-water quality.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.8b03657","usgsCitation":"McGuire, J.T., Cozzarelli, I.M., Bekins, B.A., Link, H., and Martinović-Weigelt, D., 2019, Toxicity assessment of groundwater contaminated by petroleum hydrocarbons at a well-characterized, aged, crude oil release site: Environmental Science & Technology, v. 52, no. 21, p. 12172-12178, https://doi.org/10.1021/acs.est.8b03657.","productDescription":"7 p.","startPage":"12172","endPage":"12178","ipdsId":"IP-099197","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":366299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366207,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.acs.org/doi/abs/10.1021/acs.est.8b03657"}],"volume":"52","issue":"21","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"McGuire, Jennifer T.","contributorId":217842,"corporation":false,"usgs":false,"family":"McGuire","given":"Jennifer","email":"","middleInitial":"T.","affiliations":[{"id":39700,"text":"University of St Thomas, St. Paul, Minnesota","active":true,"usgs":false}],"preferred":false,"id":767657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":767656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":767658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Link, Hannah","contributorId":217843,"corporation":false,"usgs":false,"family":"Link","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":767659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martinović-Weigelt, Dalma","contributorId":217844,"corporation":false,"usgs":false,"family":"Martinović-Weigelt","given":"Dalma","affiliations":[],"preferred":false,"id":767660,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228382,"text":"70228382 - 2019 - Factors influencing nesting ecology of lesser prairie-chickens","interactions":[],"lastModifiedDate":"2022-02-09T16:49:10.463881","indexId":"70228382","displayToPublicDate":"2018-10-01T10:43:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing nesting ecology of lesser prairie-chickens","docAbstract":"<p><span>Lesser prairie-chicken (</span><i>Tympanuchus pallidicinctus</i><span>) populations have declined since the 1980s. Understanding factors influencing nest-site selection and nest survival are important for conservation and management of lesser prairie-chicken populations. However, &gt;75% of the extant population is in the northern extent of the range where data on breeding season ecology are lacking. We tested factors influencing fine-scale and regional nest-site selection and nest survival across the northern portion of the lesser prairie-chicken range. We trapped and affixed satellite global positioning system and very high frequency transmitters to female lesser prairie-chickens (</span><i>n</i><span> = 307) in south-central and western Kansas and eastern Colorado, USA. We located and monitored 257 lesser prairie-chicken nests from 2013 to 2016. We evaluated nest-site selection and nest survival in comparison to vegetation composition and structure. Overall, nest-site selection in relation to vegetation characteristics was similar across our study area. Lesser prairie-chickens selected nest microsites with 75% visual obstruction 2.0–3.5 dm tall and 95.7% of all nests were in habitat with ≥1 dm and ≤4 dm visual obstruction. Nests were located in areas with 6–8% bare ground, on average, avoiding areas with greater percent cover of bare ground. The type of vegetation present was less important than cover of adequate height. Nest survival was maximized when 75% visual obstruction was 2.0–4.0 dm. Nest survival did not vary spatially or among years and generally increased as intensity of drought decreased throughout the study although not significantly. To provide nesting cover considering yearly variation in drought conditions, it is important to maintain residual cover by managing for structural heterogeneity of vegetation. Managing for structural heterogeneity could be accomplished by maintaining or strategically applying practices of the Conservation Reserve Program, using appropriate fire and grazing disturbances in native working grasslands, and establishing site-specific monitoring of vegetation composition and structure.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21582","usgsCitation":"Lautenbach, J.M., Haukos, D.A., Sullins, D.S., Hagen, C.A., Lautenbach, J.D., Pitman, J.C., Plumb, R.T., Robinson, S.G., and Kraft, J.D., 2019, Factors influencing nesting ecology of lesser prairie-chickens: Journal of Wildlife Management, v. 83, no. 1, p. 205-215, https://doi.org/10.1002/jwmg.21582.","productDescription":"11 p.","startPage":"205","endPage":"215","ipdsId":"IP-098227","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468085,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://hdl.handle.net/10919/99173","text":"Publisher Index Page"},{"id":395681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.2822265625,\n              37.020098201368114\n            ],\n            [\n              -98.525390625,\n              37.020098201368114\n            ],\n            [\n              -98.525390625,\n              39.639537564366684\n            ],\n            [\n              -104.2822265625,\n              39.639537564366684\n            ],\n            [\n              -104.2822265625,\n              37.020098201368114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"83","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lautenbach, Joseph M.","contributorId":172788,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":834055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":834057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagen, Christian A.","contributorId":177795,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":834058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lautenbach, Jonathan D.","contributorId":172790,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":834059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitman, James C.","contributorId":40529,"corporation":false,"usgs":true,"family":"Pitman","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":834060,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Plumb, Reid T.","contributorId":172787,"corporation":false,"usgs":false,"family":"Plumb","given":"Reid","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":834061,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Robinson, Samantha G.","contributorId":172786,"corporation":false,"usgs":false,"family":"Robinson","given":"Samantha","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":834062,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kraft, John D.","contributorId":172789,"corporation":false,"usgs":false,"family":"Kraft","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":834063,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70204560,"text":"70204560 - 2019 - Wind River subbasin restoration annual report of USGS activities January 2017 through December 2017","interactions":[],"lastModifiedDate":"2019-08-06T09:38:27","indexId":"70204560","displayToPublicDate":"2018-10-01T08:03:06","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Wind River subbasin restoration annual report of USGS activities January 2017 through December 2017","docAbstract":"<p>We used Passive Integrated Transponder (PIT)-tagging and a series of instream PIT-tag&nbsp;interrogation systems (PTISs) to investigate life-histories, populations, and efficacy of habitat&nbsp;restoration actions for wild Steelhead <i>Oncorhynchus mykiss</i> in the Wind River subbasin, WA.&nbsp;No hatchery Steelhead have been planted in the Wind River subbasin since 1997, and hatchery&nbsp;adults are estimated to be less than one percent of adults in most years (pers comm. Thomas&nbsp;Buehrens, Washington Department of Fish and Wildlife). Numerous restoration actions have&nbsp;been implemented in the subbasin, including Hemlock Dam removal on Trout Creek in 2009.&nbsp;Data from our study, and companion work by Washington Department of Fish and Wildlife&nbsp;(WDFW), are contributing to Bonneville Power Administration’s (BPA) Research Monitoring&nbsp;and Evaluation (RM&amp;E) Program Strategy of Fish Population Status Monitoring&nbsp;(www.cbfish.org/ProgramStrategy.mvc/ViewProgramStrategySummary/1),&nbsp; specifically the substrategies of: 1) Assessing the Status and Trends of Diversity of Natural Origin Fish Populations&nbsp;and to Uncertainties Research regarding differing life histories of a wild Steelhead population, 2)&nbsp;Assessing the Status and Trend of Adult Natural Origin Fish Populations, and 3) Monitoring and&nbsp;Evaluating the Effectiveness of Tributary Habitat Actions Relative to Environmental, Physical,&nbsp;or Biological Performance Objectives. Our headwaters parr PIT tagging, WDFW parr, smolt, and&nbsp;adult tagging and our instream PTISs are providing data movements and life histories of parr,&nbsp;smolt, and adult Steelhead.&nbsp;During summer 2017, we PIT-tagged age-0 and age-1 Steelhead parr in headwater areas of the Wind River subbasin to characterize population traits and investigate life-history diversity,&nbsp;including growth and pre-smolt downstream movement. Repeat sampling and smolt traps&nbsp;provide opportunities for recapture, and instream PTISs and Columbia River infrastructure&nbsp;provide opportunity for detection of PIT-tagged fish.&nbsp;Throughout the year, we maintained a series of instream PTISs to monitor movement of&nbsp;tagged Steelhead parr, smolts, and adults. This included adding the second array to our upper&nbsp;Wind River PITS, increasing solar capacity and adding improved power cables to some sites.&nbsp;Detections at the instream PTISs have demonstrated trends of age-0 and age-1 parr&nbsp;emigration from natal areas during summer and fall, in addition to the expected movement of&nbsp;parr and smolts in spring. These data are increasing our understanding of varied life histories of&nbsp;juvenile Steelhead; paired with other Steelhead population work in the subbasin we hope to&nbsp;begin to understand factors which may influence parr movements. Long-term monitoring of PIT-tagged fish over multiple years is providing information on contribution of various life-history&nbsp;strategies to smolt production and adult returns.&nbsp; Movements of PIT-tagged adult Steelhead were also recorded at instream PTISs. These&nbsp;data have allowed us to assess adult returns to tributary watersheds within the Wind River&nbsp;subbasin. Determination of adult use of tributary watersheds is providing data to contribute to&nbsp;evaluation of the efficacy of the removal of Hemlock Dam on Trout Creek. Hemlock Dam,&nbsp;located at rkm 2.0 of Trout Creek was removed in summer 2009. The dam had had contributed to&nbsp;hydrologic impairment of Trout Creek and had potential negative effects on Steelhead. The&nbsp;improved upper Wind River PTIS (better site characteristics and grid power) will allow estimates&nbsp;of subbasin adult escapement upstream of that site.&nbsp;Evaluating and planning restoration efforts are of interest to many managers and agencies&nbsp;to ensure efficient use of resources. The evaluation of various life-histories of Lower Columbia&nbsp;River Steelhead within the Wind River subbasin will provide information to better track&nbsp;populations, and to direct habitat restoration and water allocation planning. Increasingly detailed&nbsp;Viable Salmonid Population information, such as that provided by PIT-tagging and instream&nbsp;PTISs networks like those we operate in the Wind River subbasin, will provide data to inform&nbsp;policy and management, as life-history strategies and production bottlenecks are identified and&nbsp;understood.</p>","language":"English","publisher":"Bonneville Power Administration","collaboration":"Bonneville Power Administration","usgsCitation":"Jezorek, I., 2019, Wind River subbasin restoration annual report of USGS activities January 2017 through December 2017, 53 p.","productDescription":"53 p.","startPage":"1","endPage":"53","ipdsId":"IP-101368","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":366100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366091,"type":{"id":11,"text":"Document"},"url":"https://www.cbfish.org/Document.mvc/DocumentViewer/P164011/80611-1.pdf"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.963568,45.751448 ], [ -121.963568,45.969903 ], [ -121.787086,45.969903 ], [ -121.787086,45.751448 ], [ -121.963568,45.751448 ] ] ] } } ] }","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jezorek, Ian 0000-0002-3842-3485","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":217811,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767569,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70199743,"text":"70199743 - 2019 - Groundwater salinity mapping using geophysical log analysis within the Fruitvale and Rosedale Ranch oil fields, Kern County, California, USA","interactions":[],"lastModifiedDate":"2019-03-26T16:18:40","indexId":"70199743","displayToPublicDate":"2018-09-26T15:15:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater salinity mapping using geophysical log analysis within the Fruitvale and Rosedale Ranch oil fields, Kern County, California, USA","docAbstract":"<p><span>A method is presented for deriving a volume model of groundwater total dissolved solids (TDS) from borehole geophysical and aqueous geochemical measurements. While previous TDS mapping techniques have proved useful in the hydrogeologic setting in which they were developed, they may yield poor results in settings with lithological heterogeneity, complex water chemistry, or limited data. Problems arise because of assumed values for empirical constants in Archie’s Equation, unrealistic porosity and temperature gradients, or bicarbonate-rich groundwater. These issues become critical in complex geologic settings such as the San Joaquin Valley of California, USA. To address this, a method to map TDS in three dimensions is applied to the Fruitvale and Rosedale Ranch oil fields near Bakersfield, California. Borehole resistivity, porosity, and temperature data are used to derive TDS using Archie’s Equation, and are then kriged to interpolate TDS. Archie’s&nbsp;</span><i class=\"EmphasisTypeItalic \">a</i><span>&nbsp;and&nbsp;</span><i class=\"EmphasisTypeItalic \">m</i><span>&nbsp;(tortuosity factor and cementation exponent, respectively) are found by comparing model predictions, after kriging, to TDS measurements, and minimizing the differences via mathematical optimization. Contributions of abundant bicarbonate ions to TDS were corrected using an empirical model. This work was motivated by federal and state law requirements to monitor and protect underground sources of drinking water. Modeling shows the legally significant boundary of 10,000&nbsp;ppm TDS is at ~1,067&nbsp;m below sea level in Rosedale Ranch, and deepens into Fruitvale to ~1,341&nbsp;m. Mapping groundwater TDS at this resolution reveals that TDS is primarily controlled by depth, recharge, stratigraphy, and in some places, by faulting and facies changes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-018-1872-5","usgsCitation":"Stephens, M.J., Shimabukuro, D.H., Gillespie, J., and Chang, W., 2019, Groundwater salinity mapping using geophysical log analysis within the Fruitvale and Rosedale Ranch oil fields, Kern County, California, USA: Hydrogeology Journal, v. 27, no. 2, p. 731-746, https://doi.org/10.1007/s10040-018-1872-5.","productDescription":"16 p.","startPage":"731","endPage":"746","ipdsId":"IP-088343","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":468086,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-018-1872-5","text":"Publisher Index Page"},{"id":437630,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7S181PH","text":"USGS data release","linkHelpText":"Geochemical and geophysical data for wells in the Fruitvale and Rosedale Ranch oil and gas fields, Kern County, California, USA"},{"id":357806,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Kern County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.17,\n              35.34\n            ],\n            [\n              -119.02,\n              35.34\n            ],\n            [\n              -119.02,\n              35.458\n            ],\n            [\n              -119.17,\n              35.458\n            ],\n            [\n              -119.17,\n              35.34\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-26","publicationStatus":"PW","scienceBaseUri":"5bc02f8ae4b0fc368eb538a5","contributors":{"authors":[{"text":"Stephens, Michael J. 0000-0001-8995-9928","orcid":"https://orcid.org/0000-0001-8995-9928","contributorId":205895,"corporation":false,"usgs":true,"family":"Stephens","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shimabukuro, David H. 0000-0002-6106-5284","orcid":"https://orcid.org/0000-0002-6106-5284","contributorId":208209,"corporation":false,"usgs":false,"family":"Shimabukuro","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":746427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gillespie, Janice M. 0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":203915,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":746428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chang, Will 0000-0002-0796-0763","orcid":"https://orcid.org/0000-0002-0796-0763","contributorId":208210,"corporation":false,"usgs":false,"family":"Chang","given":"Will","email":"","affiliations":[{"id":37763,"text":"Hypergradient LLC","active":true,"usgs":false}],"preferred":false,"id":746429,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197860,"text":"70197860 - 2019 - A values-based private landowner typology to improve grassland conservation initiatives","interactions":[],"lastModifiedDate":"2019-03-15T12:45:34","indexId":"70197860","displayToPublicDate":"2018-09-26T12:36:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3405,"text":"Society and Natural Resources","active":true,"publicationSubtype":{"id":10}},"title":"A values-based private landowner typology to improve grassland conservation initiatives","docAbstract":"<p><span>Many conservation initiatives are based on natural science alone, despite an extensive body of literature demonstrating that the incorporation of social science generates more successful and lasting outcomes. The Land Use Value (LUV) scale is an example of a social science tool that grassland conservation practitioners can use to improve their understanding of the land use decisions of private agricultural landowners. Drawing on data from a mail survey, we demonstrated the utility of the LUV scale to segment agricultural producers by four LUV types (Humans First, Nature First, Interconnected, and Disconnected) with significantly different motivations and land use behaviors. This information can be used to evaluate and align grassland conservation practices, policies, and messaging with the LUV types of private agricultural landowners. Tools like the LUV scale are critical to building the social science capacity of conservation professionals and organizations, in order to improve the efficacy of conservation initiatives.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08941920.2018.1501526","usgsCitation":"Sweikert, L.A., and Gigliotti, L.M., 2019, A values-based private landowner typology to improve grassland conservation initiatives: Society and Natural Resources, v. 32, no. 2, p. 167-183, https://doi.org/10.1080/08941920.2018.1501526.","productDescription":"17 p.","startPage":"167","endPage":"183","ipdsId":"IP-088877","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":357777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-06","publicationStatus":"PW","scienceBaseUri":"5bc02f8ae4b0fc368eb538a7","contributors":{"authors":[{"text":"Sweikert, Lily A.","contributorId":205889,"corporation":false,"usgs":false,"family":"Sweikert","given":"Lily","email":"","middleInitial":"A.","affiliations":[{"id":5088,"text":"SDSU","active":true,"usgs":false}],"preferred":false,"id":738787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":738786,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70199700,"text":"70199700 - 2019 - Drivers of chaparral type conversion to herbaceous vegetation in coastal Southern California","interactions":[],"lastModifiedDate":"2019-01-28T09:18:55","indexId":"70199700","displayToPublicDate":"2018-09-26T12:09:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Drivers of chaparral type conversion to herbaceous vegetation in coastal Southern California","docAbstract":"<div id=\"ddi12827-sec-0001\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Aim</strong></p><p>In Southern California, native woody shrublands known as chaparral support exceptional biodiversity. However, large‐scale conversion of chaparral into largely exotic herbaceous cover is a major ecological threat and serious conservation concern. Due to substantial uncertainty regarding the causes and extent of this vegetation change, we aimed to quantify the primary drivers of and map potentially vulnerable locations for vegetation type conversion from woody into herbaceous cover.</p></div><p class=\"article-section__sub-title section1\"><strong>Location</strong></p><p>Santa Monica Mountains National Recreational Area, Southern California, USA.</p><p class=\"article-section__sub-title section1\"><strong>Methods</strong></p><p>We used air photograph image interpretation to quantify the extent to which chaparral shrublands transitioned to herbaceous cover from 1943 to 2014 across nearly 800 randomly located plots. Comparing plots that remained chaparral to those that converted to herbaceous cover, we performed hierarchical partitioning to quantify the independent contribution of a range of explanatory variables, and then used classification trees to explore variable interactions. We also developed a spatial model to create a seamless map delineating relative probability of type conversion.</p><p class=\"article-section__sub-title section1\"><strong>Results</strong></p><p>Of the original plots that were chaparral in 1943, 284 (36%) changed cover by 2014, with 79 completely converting, and 142 mostly converting to herbaceous cover. The primary mechanism behind shrubland decline and replacement was short intervals between fires (&lt;=10&nbsp;years), and type conversion was most likely to occur in arid parts of the landscape with low topographic heterogeneity and close proximity to trails and roads. Predictive maps delineated several hotspots with environmental conditions similar to those of type‐converted plots.</p><div id=\"ddi12827-sec-0005\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Main conclusions</strong></p><p>Chaparral type conversion is a widespread conservation concern, and results here suggest that short‐interval fire and landscape disturbance are the most likely factors to exacerbate it, particularly in water‐limited portions of the landscape where chaparral is subject to greater physiological stress and slower recovery. Reducing fire ignitions and mapping vulnerable areas may be important strategies for prevention.</p></div>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12827","usgsCitation":"Syphard, A.D., Brennan, T.J., and Keeley, J.E., 2019, Drivers of chaparral type conversion to herbaceous vegetation in coastal Southern California: Diversity and Distributions, v. 25, no. 1, p. 90-101, https://doi.org/10.1111/ddi.12827.","productDescription":"12 p.","startPage":"90","endPage":"101","ipdsId":"IP-097153","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468087,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12827","text":"Publisher Index Page"},{"id":357763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.16870117187501,\n              33.980947501499635\n            ],\n            [\n              -118.46557617187499,\n              33.980947501499635\n            ],\n            [\n              -118.46557617187499,\n              34.228835385227214\n            ],\n            [\n              -119.16870117187501,\n              34.228835385227214\n            ],\n            [\n              -119.16870117187501,\n              33.980947501499635\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-31","publicationStatus":"PW","scienceBaseUri":"5bc02f8be4b0fc368eb538ad","contributors":{"authors":[{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":746256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brennan, Teresa J. 0000-0002-0646-3298 tjbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-0646-3298","contributorId":4323,"corporation":false,"usgs":true,"family":"Brennan","given":"Teresa","email":"tjbrennan@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":746257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":746255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70199717,"text":"70199717 - 2019 - Carbon storage potential in a recently created brackish marsh in eastern North Carolina, USA","interactions":[],"lastModifiedDate":"2019-01-28T09:20:00","indexId":"70199717","displayToPublicDate":"2018-09-26T12:07:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Carbon storage potential in a recently created brackish marsh in eastern North Carolina, USA","docAbstract":"<p><span>Carbon (C) sequestration through accumulated plant biomass and storage in soils can potentially make&nbsp;wetland ecosystems&nbsp;net C sinks. Here, we collected GHG flux, plant biomass, and&nbsp;litter decomposition&nbsp;data from three distinct vegetation zones (</span><span><i>Spartina</i>alterniflora</span><span>,&nbsp;</span><i>Juncus roemerianus</i><span>&nbsp;and&nbsp;</span><i>Spartina patens</i><span>) on a 7-year-old created brackish marsh in North Carolina, USA, and integrate these data into an overall C mass balance budget. The marsh fixed an average of 1.85 g C m</span><sup>−2</sup><span> day</span><sup>−1</sup><span>&nbsp;through plant&nbsp;photosynthesis. About 41–46% of the fixed C remained in plants, while 18.4% of the C was decomposed and released back to the atmosphere as CO</span><sub>2</sub><span>&nbsp;and CH</span><sub>4</sub><span>, and 8.6–13.2% of the decomposed C was stored as soil C. In all, this created marsh sequestered 28.7–44.7 Mg CO</span><sub>2</sub><span> year</span><sup>−1</sup><span>&nbsp;across the 14 ha marsh. Because the brackish marsh emitted only small amounts of CH</span><sub>4</sub><span>&nbsp;and N</span><sub>2</sub><span>O, the CO</span><sub>2</sub><span>&nbsp;equivalent emission of the marsh was −0.87 to −0.56 g CO</span><sub>2-eq</sub><span> m</span><sup>−2</sup><span> day</span><sup>−1</sup><span>, indicating the marsh has a net effect in reducing GHGs to the atmosphere and contributes to cooling. However, resultant CO</span><sub>2</sub><span>&nbsp;credit (through the increment of soil C) would be worth only $30.76–$47.90 USD per hectare annually, or $431–$671 per year for the project, which, coupled with other enhanced&nbsp;ecosystem services, could provide landowners with some additional economic incentive for future creation projects. Nevertheless, C mass balance determinations and radiative cooling metrics showed promise in demonstrating the potential of a young created brackish marsh to act as a net&nbsp;carbon sink.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2018.09.007","usgsCitation":"Shiau, Y., Burchell, M.R., Krauss, K.W., Broome, S.W., and Birgand, F., 2019, Carbon storage potential in a recently created brackish marsh in eastern North Carolina, USA: Ecological Engineering, v. 127, p. 579-588, https://doi.org/10.1016/j.ecoleng.2018.09.007.","productDescription":"10 p.","startPage":"579","endPage":"588","ipdsId":"IP-080504","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468088,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2018.09.007","text":"Publisher Index Page"},{"id":357760,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.937255859375,\n              34.56764471968292\n            ],\n            [\n              -76.146240234375,\n              34.56764471968292\n            ],\n            [\n              -76.146240234375,\n              35.0906979730151\n            ],\n            [\n              -76.937255859375,\n              35.0906979730151\n            ],\n            [\n              -76.937255859375,\n              34.56764471968292\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"127","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f8be4b0fc368eb538af","contributors":{"authors":[{"text":"Shiau, Yo-Jin","contributorId":174552,"corporation":false,"usgs":false,"family":"Shiau","given":"Yo-Jin","email":"","affiliations":[],"preferred":false,"id":746312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burchell, Michael R.","contributorId":174553,"corporation":false,"usgs":false,"family":"Burchell","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":746313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":746311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Broome, Stephen W.","contributorId":174555,"corporation":false,"usgs":false,"family":"Broome","given":"Stephen","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":746314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birgand, Francois","contributorId":208193,"corporation":false,"usgs":false,"family":"Birgand","given":"Francois","email":"","affiliations":[{"id":36764,"text":"Department of Biological and Agricultural Engineering, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":746315,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70227895,"text":"70227895 - 2019 - Greater sage-grouse vital rates after wildfire","interactions":[],"lastModifiedDate":"2022-02-02T17:57:27.577103","indexId":"70227895","displayToPublicDate":"2018-09-23T11:52:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Greater sage-grouse vital rates after wildfire","docAbstract":"<p><span>Greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>) have been subject to long-term and continuing declines in population and habitat since European settlement of western North America. Increased wildfire activity constitutes a primary threat to the species in western portions of their range, with documented declines in wildfire-affected populations. Following a 187,000-ha wildfire in southeastern Oregon and northern Nevada, USA, we used global positioning system (GPS) telemetry to monitor nest initiation, nest survival, nesting habitat, and adult survival of female sage-grouse during 2013 and 2014. We used known-fate models in Program MARK to estimate daily nest survival and monthly adult survival in relation to temporal patterns, physiological characteristics of females, and habitat and land-cover characteristics. We assessed habitat characteristics using geographic information system (GIS)-derived measures of post-fire habitat condition and land cover. Nest initiation rate following the fire was comparable to that observed in unaltered habitat. We observed nesting rates of 90% and 100% during 2013 and 2014, respectively, and renesting rates of 23% and 57% during the same years. Daily nest survival was consistently low in comparison to rates observed in concurrent studies in the region, for first nests during both years, and for second nests during 2013, but survival markedly increased for second nests during 2014. Sage-grouse generally did not leave the fire perimeter to nest, with 64% and 73% of nests located in the fire boundary during 2013 and 2014, respectively. Approximately 27% of nests were located in burned habitat during 2013, and 20% of nests in 2014 were located in burned habitat. Adult survival varied by month, and although patterns of monthly survival were similar between years, monthly survival rates were significantly reduced from the beginning of the study through the end of the first post-fire growing season. Our results indicate that sage-grouse continue to use fire-affected habitat in the years immediately following wildfire and sage-grouse experienced lower nest survival and adult female survival than other populations during the same period.</span></p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21573","usgsCitation":"Foster, L.J., Dugger, K., Hagen, C., and Budeau, D.A., 2019, Greater sage-grouse vital rates after wildfire: Journal of Wildlife Management, v. 83, no. 1, p. 121-134, https://doi.org/10.1002/jwmg.21573.","productDescription":"14 p.","startPage":"121","endPage":"134","ipdsId":"IP-094455","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Trout Creek Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.63130187988281,\n              41.996753126923714\n            ],\n            [\n              -117.47543334960938,\n              41.996753126923714\n            ],\n            [\n              -117.47543334960938,\n              42.097458173594724\n            ],\n            [\n              -117.63130187988281,\n              42.097458173594724\n            ],\n            [\n              -117.63130187988281,\n              41.996753126923714\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"83","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Foster, Lee J.","contributorId":201654,"corporation":false,"usgs":false,"family":"Foster","given":"Lee","email":"","middleInitial":"J.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":832545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagen, C.A.","contributorId":86526,"corporation":false,"usgs":true,"family":"Hagen","given":"C.A.","affiliations":[],"preferred":false,"id":832546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budeau, David A.","contributorId":44840,"corporation":false,"usgs":true,"family":"Budeau","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":832547,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202848,"text":"70202848 - 2019 - The potential for citizen science to produce reliable and useful information in ecology","interactions":[],"lastModifiedDate":"2019-06-18T11:18:53","indexId":"70202848","displayToPublicDate":"2018-09-22T10:11:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"The potential for citizen science to produce reliable and useful information in ecology","docAbstract":"We examined features of citizen science that influence data quality, inferential power, and usefulness in ecology. As background context for our examination, we considered topics such as ecological sampling (probability based, purposive, opportunistic), linkage between sampling technique and statistical inference(designbased,modelbased),andscientificparadigms(confirmatory,exploratory).Wedistinguished several types of citizen science investigations, from intensive research with rigorous protocols targeting clearly articulated questions to mass-participation internet-based projects with opportunistic data collection lacking samplingdesign,andexaminedoverarchingobjectives,design,analysis,volunteertraining,andperformance. We identified key features that influence data quality: project objectives, design and analysis, and volunteer training and performance. Projects with good designs, trained volunteers, and professional oversight can meet statistical criteria to produce high-quality data with strong inferential power and therefore are well suited for ecological research objectives. Projects with opportunistic data collection, little or no sampling design, and minimal volunteer training are better suited for general objectives related to public education or data exploration because reliable statistical estimation can be difficult or impossible. In some cases, statistically robust analytical methods, external data, or both may increase the inferential power of certain opportunistically collected data. Ecological management, especially by government agencies, frequently requires data suitable for reliable inference. With standardized protocols, state-of-the-art analytical methods, and well-supervised programs, citizen science can make valuable contributions to conservation by increasing the scope of species monitoring efforts. Data quality can be improved by adhering to basic principles of data collection and analysis, designing studies to provide the data quality required, and including suitable statistical expertise, thereby strengthening the science aspect of citizen science and enhancing acceptance by the scientific community and decision makers.","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13223","usgsCitation":"Brown, E., and Williams, B.K., 2019, The potential for citizen science to produce reliable and useful information in ecology: Conservation Biology, v. 33, no. 3, p. 561-569, https://doi.org/10.1111/cobi.13223.","productDescription":"9 p.","startPage":"561","endPage":"569","ipdsId":"IP-078062","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":468089,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/cobi.13223","text":"External Repository"},{"id":362581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Ellie 0000-0001-7798-830X ebrown@usgs.gov","orcid":"https://orcid.org/0000-0001-7798-830X","contributorId":200491,"corporation":false,"usgs":true,"family":"Brown","given":"Ellie","email":"ebrown@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":760254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":86616,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":760255,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70228068,"text":"70228068 - 2019 - Toward a resilience-based conservation strategy for wetlands in Puerto Rico: Meeting challenges posed by environmental change","interactions":[],"lastModifiedDate":"2022-02-03T14:27:43.707348","indexId":"70228068","displayToPublicDate":"2018-09-22T08:21:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Toward a resilience-based conservation strategy for wetlands in Puerto Rico: Meeting challenges posed by environmental change","docAbstract":"<p><span>Designing conservation strategies in human-dominated landscapes is challenging, owing to complex human-natural systems and evolving societal values. To meet this challenge, a robust, adaptive strategy should have a process for flexible implementation of incremental actions. We describe a hypothetical example for the Rio Grande de Arecibo watershed and coastal wetlands in Puerto Rico to address the first component. The process begins by identifying shared stakeholder objectives. This process benefits from a review of foundational research and knowledge base that includes global forcings and vulnerability of resources of interest. Forcings include climate change and pervasive urban sprawl. We focus on two taxonomic groups with differing life histories but strong dependence on water resource dynamics, another resource valued by humans. We stipulate objectives and multiple actions, but focus on those pertaining to hydro-management as the common thread in our example. We advanced two decision contexts of contrasting complexity, illustrated links between objectives and actions, and highlighted trade-offs triggered by varying resource valuation. Our focus was to highlight various components necessary to frame a resilience-based strategy, but we cannot overemphasize the importance of accommodating institutional and stakeholder changing priorities and values to ensure its successful implementation.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s13157-018-1080-z","usgsCitation":"Collazo, J.A., Terando, A., Engman, A.C., Fackler, P.F., and Kwak, T.J., 2019, Toward a resilience-based conservation strategy for wetlands in Puerto Rico: Meeting challenges posed by environmental change: Wetlands, v. 39, p. 1255-1269, https://doi.org/10.1007/s13157-018-1080-z.","productDescription":"15 p.","startPage":"1255","endPage":"1269","ipdsId":"IP-097202","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Rio Grande de Arecibo watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.57268524169922,\n              18.476678452242982\n            ],\n            [\n              -66.58882141113281,\n              18.48905177104029\n            ],\n            [\n              -66.62830352783203,\n              18.494912504982114\n            ],\n            [\n              -66.64546966552734,\n              18.494261322223153\n            ],\n            [\n              -66.65233612060547,\n              18.490679772801567\n            ],\n            [\n              -66.67190551757812,\n              18.490354173686818\n            ],\n            [\n              -66.70177459716795,\n              18.487098148509038\n            ],\n            [\n              -66.70589447021484,\n              18.479283435684653\n            ],\n            [\n              -66.77215576171875,\n              18.48579572111478\n            ],\n            [\n              -66.7532730102539,\n              18.364626789278347\n            ],\n            [\n              -66.74503326416016,\n              18.31672202533726\n            ],\n            [\n              -66.66950225830078,\n              18.301402736594266\n            ],\n            [\n              -66.6427230834961,\n              18.307269858371694\n            ],\n            [\n              -66.6324234008789,\n              18.3235663757528\n            ],\n            [\n              -66.64512634277344,\n              18.365930134630656\n            ],\n            [\n              -66.6811752319336,\n              18.45486016273484\n            ],\n            [\n              -66.60770416259764,\n              18.46072206529225\n            ],\n            [\n              -66.57543182373047,\n              18.461373375441458\n            ],\n            [\n              -66.57268524169922,\n              18.476678452242982\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","noUsgsAuthors":false,"publicationDate":"2018-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terando, Adam J. 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":216875,"corporation":false,"usgs":true,"family":"Terando","given":"Adam J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":833007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engman, Augustin C.","contributorId":32145,"corporation":false,"usgs":false,"family":"Engman","given":"Augustin","email":"","middleInitial":"C.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":833008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fackler, P. F.","contributorId":274468,"corporation":false,"usgs":false,"family":"Fackler","given":"P.","email":"","middleInitial":"F.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":833009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833010,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70223205,"text":"70223205 - 2019 - Evaluation of a field protocol for internally-tagging fish predators using difficult-to-tag ictalurid catfish as examples","interactions":[],"lastModifiedDate":"2021-08-18T13:02:44.681063","indexId":"70223205","displayToPublicDate":"2018-09-22T07:59:47","publicationYear":"2019","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":"Evaluation of a field protocol for internally-tagging fish predators using difficult-to-tag ictalurid catfish as examples","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\"><div id=\"abst0010\"><p id=\"spar0045\"><span>Tagging protocols that result in high tag retention will benefit fisheries professionals who use&nbsp;telemetry&nbsp;data. Ictalurid catfish historically have had very poor telemetry tag retention. Here, we use these difficult-to-tag taxa to address two research objectives. First, we evaluated our field-based internal tagging methodology by quantifying six tag retention metrics using data from 48 acoustically-tagged blue catfish (</span><i>Ictalurus furcatus</i><span>) released into Milford Reservoir, KS, USA. Second, to better understand the results of this field evaluation, we evaluated tag retention and survival in the&nbsp;hatchery&nbsp;for the closely-related channel catfish (</span><i>I. punctatus</i>). Field and hatchery studies provided complementary information. Eighty percent of tagged blue catfish were detected at the end of our 5-mo field study (1,139,402 = total detections; 24,243 = average detections per fish). A 13-week hatchery evaluation of our field methodology also had high tag retention (100%). Hatchery treatments that used a lateral-ventral incision had higher tag retention and survival than those treatments that included a mid-ventral incision. Time invested in training, protocol refinement, and field organization were also important. Furthermore, monitoring the surgical history and recovery of individual fish allowed us to correct problems before mortality occurred. Because a need exists for a range of internal tagging methodologies that are effective on an assortment of fish species tagged under a variety of circumstances, our high tag retention methodology may be useful to the expanding research community that studies native and non-native catfish, as well as, other telemetry researchers who seek beneficial refinements to their tagging protocols.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2018.09.003","usgsCitation":"Gerber, K.M., Mather, M.E., Smith, J., and Peterson, Z.J., 2019, Evaluation of a field protocol for internally-tagging fish predators using difficult-to-tag ictalurid catfish as examples: North American Journal of Fisheries Management, v. 209, p. 58-66, https://doi.org/10.1016/j.fishres.2018.09.003.","productDescription":"9 p.","startPage":"58","endPage":"66","ipdsId":"IP-100682","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":388096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Milford Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.0697021484375,\n              39.05118518880596\n            ],\n            [\n              -96.84173583984374,\n              39.05118518880596\n            ],\n            [\n              -96.84173583984374,\n              39.29604824402406\n            ],\n            [\n              -97.0697021484375,\n              39.29604824402406\n            ],\n            [\n              -97.0697021484375,\n              39.05118518880596\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"209","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gerber, Kayla M.","contributorId":264347,"corporation":false,"usgs":false,"family":"Gerber","given":"Kayla","email":"","middleInitial":"M.","affiliations":[{"id":54442,"text":"Kansas Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":821392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":821393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph M.","contributorId":264348,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph M.","affiliations":[{"id":54443,"text":"School of Aquatic and Fishery Sciences","active":true,"usgs":false}],"preferred":false,"id":821394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Zachary J.","contributorId":264349,"corporation":false,"usgs":false,"family":"Peterson","given":"Zachary","email":"","middleInitial":"J.","affiliations":[{"id":54442,"text":"Kansas Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":821395,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205093,"text":"70205093 - 2019 - Mw 4.2 Delaware Earthquake of 30 November 2017","interactions":[],"lastModifiedDate":"2019-09-04T14:56:19","indexId":"70205093","displayToPublicDate":"2018-09-19T09:53:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Mw 4.2 Delaware Earthquake of 30 November 2017","docAbstract":"The 30 November 2017 Delaware earthquake with magnitude MW 4.2 occurred beneath the northeastern tip of the Delmarva Peninsula near Dover, Delaware. The earthquake and its aftershocks provide an opportunity to evaluate seismicity in a passive margin setting using much improved coverage by high-quality permanent broadband seismometers at regional distance ranges in the central and eastern United States. This is the largest instrumentally recorded earthquake in Delaware and triggered a collaborative rapid-response effort by seismologists at five institutions along the mid-Atlantic. As a result of this effort, eighteen portable seismographs were deployed in the epicentral region within 24 hours of the mainshock.  High-quality seismic recordings at over 380 permanent regional broadband seismographic stations in the eastern United States show a remarkably small decrease in amplitude with distance between 800-2000 km.  The mainshock focal mechanism shows predominantly strike-slip motion with a significant thrust component.  The orientation of the subhorizontal P-axis is consistent with that of earthquakes in the nearby Reading-Lancaster seismic zone in Pennsylvania, but are rotated counter-clockwise about 45º from that of the MW 5.8 Mineral, Virginia earthquake. We detected small aftershocks below the normal event detection threshold by using a waveform cross-correlation detection method.  This demonstrated the effectiveness of this approach for earthquake studies and hazard evaluation in the eastern United States. Based on their waveform similarities, repeating earthquakes with magnitudes greater than 1.5 are detected in 2010, 2015, and 2017. While there is a large time interval between events, 5 years and 2.2 years respectively, the events occur within a spatially tight cluster located near the 2017 Dover DE earthquake mainshock.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220180124","usgsCitation":"Kim, W., Gold, M., Ramsay, J., Meltzer, A., Wunsch, D., Baxter, S., Lekic, V., Goodling, P., Pearson, K., Wagner, L.S., Roman, D.C., Golden, S., and Pratt, T.L., 2019, Mw 4.2 Delaware Earthquake of 30 November 2017: Seismological Research Letters, v. 89, no. 6, p. 2447-2460, https://doi.org/10.1785/0220180124.","productDescription":"14 p.","startPage":"2447","endPage":"2460","ipdsId":"IP-100479","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":367130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Science","active":true,"usgs":false}],"preferred":false,"id":769998,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":769999,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70215780,"text":"70215780 - 2019 - Predicting the occurrence of chemicals of emerging concern in surface water and sediment across the U.S. portion of the Great Lakes Basin","interactions":[],"lastModifiedDate":"2020-10-29T14:58:29.23819","indexId":"70215780","displayToPublicDate":"2018-09-18T09:52:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the occurrence of chemicals of emerging concern in surface water and sediment across the U.S. portion of the Great Lakes Basin","docAbstract":"Chemicals of emerging concern (CECs) are introduced into the aquatic environment via various sources, posing a potential risk to aquatic organisms. Previous studies have identified relationships between the presence of CECs in water and broad-scale watershed characteristics. However, relationships between the presence of CECs and source-related watershed characteristics have not been explored across the Great Lakes basin. Boosted regression tree (BRT) analyses were used to develop predictive models of CEC occurrence in water and sediment throughout 24 U.S. tributaries to the Great Lakes. Models were based on the distribution of both broad-scale and source-related watershed characteristics. Twenty-one upstream watershed characteristics, including land cover, number of permitted point sources, and distance to point sources were used to develop models predicting the probability of CEC occurrence in surface water and bottom sediment. Total accuracy of BRT models ranged from 66% to 94% for both matrices. All 21 watershed characteristics were important predictor variables in at least one surface-water model; twenty were important in at least one bottom-sediment model. Among the model variables, developed land use and distance to point sources were important predictors of the presence of CEC classes in both water and sediment. Although limitations exist, BRT models are one tool available for assessing vulnerability of fisheries and aquatic resources to CEC occurrences.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.09.201","usgsCitation":"Kiesling, R.L., Elliott, S.M., Kammel, L.E., Choy, S.J., and Hummel, S.E., 2019, Predicting the occurrence of chemicals of emerging concern in surface water and sediment across the U.S. portion of the Great Lakes Basin: Science of the Total Environment, v. 651, no. 1, p. 838-850, https://doi.org/10.1016/j.scitotenv.2018.09.201.","productDescription":"13 p.","startPage":"838","endPage":"850","ipdsId":"IP-096874","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":468090,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.09.201","text":"Publisher Index Page"},{"id":437631,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZK5FXJ","text":"USGS data release","linkHelpText":"Surface water and bottom sediment chemical data and landscape variable input datasets for predicting the occurrence of chemicals of emerging concern in 25 U.S. river basins in the Great Lakes basin"},{"id":379917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.900390625,\n              39.774769485295465\n            ],\n            [\n              -75.673828125,\n              39.774769485295465\n            ],\n            [\n              -75.673828125,\n              48.748945343432936\n            ],\n            [\n              -92.900390625,\n              48.748945343432936\n            ],\n            [\n              -92.900390625,\n              39.774769485295465\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"651","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kammel, Leah E. lkammel@usgs.gov","contributorId":4778,"corporation":false,"usgs":true,"family":"Kammel","given":"Leah","email":"lkammel@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":803449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choy, Steven J.","contributorId":138668,"corporation":false,"usgs":false,"family":"Choy","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":803420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hummel, Stephanie E.","contributorId":244149,"corporation":false,"usgs":false,"family":"Hummel","given":"Stephanie","email":"","middleInitial":"E.","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":803421,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203749,"text":"70203749 - 2019 - El Niño increases high‐tide flooding in tidal wetlands along the U.S. Pacific coast.","interactions":[],"lastModifiedDate":"2019-06-07T15:46:00","indexId":"70203749","displayToPublicDate":"2018-09-17T15:39:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"El Niño increases high‐tide flooding in tidal wetlands along the U.S. Pacific coast.","docAbstract":"Periodic oscillations between El Niño and La Niña conditions in the Pacific Basin affect oceanographic and meteorological phenomena globally, with impacts on the abundance and distribution of marine species. However, El Niño effects on estuarine hydrology and tidal wetland processes have seldom been examined rigorously. We used detailed wetland elevation and local inundation data from 10 tidal wetlands located along the Pacific coast of the United States to assess changes in flooding during the 2015–2016 El Niño and to determine decadal‐scale relationships between estuarine sea‐level anomalies and Pacific Basin climate indices for this region. During the 2015–2016 El Niño all sites experienced significant increases in high‐tide water levels exceeding those predicted by astronomical tides, and increased flooding frequency during at least one of the El Niño subperiods relative to pre‐El Niño conditions. The magnitude of positive sea‐level anomalies varied by site (4–15 cm), with local hot spots of high water in southern Oregon, northern California, and Pt. Mugu lagoon in the Southern California Bight. Furthermore, over the last three decades of historic tide records, there were positive relationships between high‐tide sea‐level anomalies and equatorial Pacific Basin sea surface temperature anomalies across the region, and negative relationships with the Northern Oscillation Index. Increases of 1 °C in equatorial sea surface temperature were associated with 3–5 cm of increased high‐tide flooding at the sites. Elevated estuarine flooding associated with future El Niños could impact important tidal wetland processes and could be an additive stressor for wetlands facing accelerating sea‐level rise.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JG004677","usgsCitation":"Goodman, A., Thorne, K., Buffington, K., Freeman, C.M., and Janousek, C.N., 2019, El Niño increases high‐tide flooding in tidal wetlands along the U.S. Pacific coast.: Journal of Geophysical Research, v. 123, no. 10, p. 3162-3177, https://doi.org/10.1029/2018JG004677.","productDescription":"16 p.","startPage":"3162","endPage":"3177","ipdsId":"IP-101364","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468091,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jg004677","text":"Publisher Index Page"},{"id":364528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Pacific Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -128.408203125,\n              48.922499263758255\n            ],\n            [\n              -125.24414062499999,\n              40.58058466412761\n            ],\n            [\n              -122.6953125,\n              35.96022296929667\n            ],\n            [\n              -118.30078125,\n              32.32427558887655\n            ],\n            [\n              -115.927734375,\n              32.54681317351514\n            ],\n            [\n              -118.91601562499999,\n              35.817813158696616\n            ],\n            [\n              -122.78320312499999,\n              40.64730356252251\n            ],\n            [\n              -122.958984375,\n              48.22467264956519\n            ],\n            [\n              -128.408203125,\n              48.922499263758255\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"123","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodman, Arianna 0000-0001-6156-7949","orcid":"https://orcid.org/0000-0001-6156-7949","contributorId":216130,"corporation":false,"usgs":false,"family":"Goodman","given":"Arianna","email":"","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":763948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Chase M. 0000-0003-4211-6709 cfreeman@usgs.gov","orcid":"https://orcid.org/0000-0003-4211-6709","contributorId":150052,"corporation":false,"usgs":true,"family":"Freeman","given":"Chase","email":"cfreeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Janousek, Christopher N. 0000-0003-2124-6715","orcid":"https://orcid.org/0000-0003-2124-6715","contributorId":103951,"corporation":false,"usgs":false,"family":"Janousek","given":"Christopher","email":"","middleInitial":"N.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":763951,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70199408,"text":"70199408 - 2019 - A review of coastal management approaches to support the integration of ecological and human community planning for climate change","interactions":[],"lastModifiedDate":"2020-07-27T19:03:26.1495","indexId":"70199408","displayToPublicDate":"2018-09-17T13:55:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2219,"text":"Journal of Coastal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"A review of coastal management approaches to support the integration of ecological and human community planning for climate change","docAbstract":"<p><span>The resilience of socio-ecological systems to sea level rise, storms and flooding can be enhanced when coastal habitats are used as natural infrastructure. Grey infrastructure has long been used for coastal flood protection but can lead to unintended negative impacts. Natural infrastructure often provides similar services as well as added benefits that support short- and long-term biological, cultural, social, and economic goals. While natural infrastructure is becoming more widespread in practice, it often represents a relatively small fraction within portfolios of coastal risk-reducing strategies compared to more traditional grey infrastructure. This study provides a comprehensive review of how natural infrastructure is being used along the United States Atlantic, Gulf of Mexico, and Caribbean&nbsp;coasts&nbsp;related to four habitats – tidal marshes, beaches and barrier islands, mangroves, and biogenic reefs. We compare information on the benefits, opportunities and challenges of implementing natural, grey and hybrid infrastructure in the coastal zone. In addition, we present a suite of actions to increase information and reduce uncertainty so that coastal mangers and planners are aware of the full suite of options for restoration, conservation and planning that maximize ecosystem services over short- and long-term planning horizons.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11852-018-0632-y","usgsCitation":"Powell, E.J., Tyrrell, M.C., Milliken, A., Tirpak, J.M., and Staudinger, M., 2019, A review of coastal management approaches to support the integration of ecological and human community planning for climate change: Journal of Coastal Conservation, v. 23, no. 1, p. 1-18, https://doi.org/10.1007/s11852-018-0632-y.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-091515","costCenters":[{"id":41705,"text":"Northeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":468092,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11852-018-0632-y","text":"Publisher Index Page"},{"id":357401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-31","publicationStatus":"PW","scienceBaseUri":"5bc02f9de4b0fc368eb53901","contributors":{"authors":[{"text":"Powell, Emily J.","contributorId":197493,"corporation":false,"usgs":false,"family":"Powell","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":34949,"text":"DOI North Atlantic Landscape Conservation Cooperative","active":true,"usgs":false}],"preferred":false,"id":745153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tyrrell, Megan C.","contributorId":197494,"corporation":false,"usgs":false,"family":"Tyrrell","given":"Megan","email":"","middleInitial":"C.","affiliations":[{"id":34949,"text":"DOI North Atlantic Landscape Conservation Cooperative","active":true,"usgs":false}],"preferred":false,"id":745154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milliken, Andrew","contributorId":174078,"corporation":false,"usgs":false,"family":"Milliken","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":745155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tirpak, John M.","contributorId":85704,"corporation":false,"usgs":true,"family":"Tirpak","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":745156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staudinger, Michelle D. 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":207908,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle D.","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":484,"text":"Northwest Climate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":745152,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203413,"text":"70203413 - 2019 - Seismic and acoustic signatures of surficial mass movements at volcanoes","interactions":[],"lastModifiedDate":"2019-05-14T13:45:46","indexId":"70203413","displayToPublicDate":"2018-09-15T13:44:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Seismic and acoustic signatures of surficial mass movements at volcanoes","docAbstract":"Surficial mass movements, such as debris avalanches, rock falls, lahars, pyroclastic flows, and outburst floods, are a dominant hazard at many volcanoes worldwide. Understanding these processes, cataloging their spatio-temporal occurrence, and detecting, tracking, and characterizing these events would advance the science of volcano monitoring and help mitigate hazards. Seismic and acoustic methods show promise for achieving these objectives: many surficial mass movements generate observable seismic and acoustic signals, and many volcanoes are already monitored. Significant progress has been made toward understanding, modeling, and extracting quantitative information from seismic and infrasonic signals generated by surficial mass movements. However, much work remains. In this paper, we review the state of the art of the topic, covering a range of scales and event types from individual rock falls to sector collapses. We consider a full variety of volcanic settings, from submarine to subaerial, shield volcano to stratovolcano. Finally, we discuss future directions toward operational seismo-acoustic monitoring of surficial mass movements at volcanoes.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2018.09.007","usgsCitation":"Allstadt, K.E., Matoza, R.S., Lockhart, A., Moran, S.C., Caplan-Auerbach, J., Haney, M.M., Thelen, W., and Malone, S.D., 2019, Seismic and acoustic signatures of surficial mass movements at volcanoes: Journal of Volcanology and Geothermal Research, v. 364, p. 76-106, https://doi.org/10.1016/j.jvolgeores.2018.09.007.","productDescription":"31 p.","startPage":"76","endPage":"106","ipdsId":"IP-093280","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":468093,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2018.09.007","text":"Publisher Index Page"},{"id":363786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363722,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2018.09.007"}],"volume":"364","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":762589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matoza, Robin S","contributorId":215528,"corporation":false,"usgs":false,"family":"Matoza","given":"Robin","email":"","middleInitial":"S","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":762590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lockhart, Andrew 0000-0002-1591-3254 ablock@usgs.gov","orcid":"https://orcid.org/0000-0002-1591-3254","contributorId":204748,"corporation":false,"usgs":true,"family":"Lockhart","given":"Andrew","email":"ablock@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":762595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moran, Seth C. 0000-0001-7308-9649 smoran@usgs.gov","orcid":"https://orcid.org/0000-0001-7308-9649","contributorId":548,"corporation":false,"usgs":true,"family":"Moran","given":"Seth","email":"smoran@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":762596,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caplan-Auerbach, Jacqueline","contributorId":215529,"corporation":false,"usgs":false,"family":"Caplan-Auerbach","given":"Jacqueline","email":"","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":762591,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":762592,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thelen, Weston 0000-0003-2534-5577","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":215530,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":762593,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Malone, Stephen D.","contributorId":202015,"corporation":false,"usgs":false,"family":"Malone","given":"Stephen","email":"","middleInitial":"D.","affiliations":[{"id":34100,"text":"Earth and Space Sciences, University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":762594,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70199244,"text":"70199244 - 2019 - Global dynamics of a mutualism–competition model with one resource and multiple consumers","interactions":[],"lastModifiedDate":"2019-03-15T12:46:52","indexId":"70199244","displayToPublicDate":"2018-09-13T15:42:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2384,"text":"Journal of Mathematical Biology","active":true,"publicationSubtype":{"id":10}},"title":"Global dynamics of a mutualism–competition model with one resource and multiple consumers","docAbstract":"<p><span>Recent simulation modeling has shown that species can coevolve toward clusters of coexisting consumers exploiting the same limiting resource or resources, with nearly identical ratios of coefficients related to growth and mortality. This paper provides a mathematical basis for such as situation; a full analysis of the global dynamics of a new model for such a class of&nbsp;</span><i class=\"EmphasisTypeItalic \">n</i><span>-dimensional consumer–resource system, in which a set of consumers with identical growth to mortality ratios compete for the same resource and in which each consumer is mutualistic with the resource. First, we study the system of one resource and two consumers. By theoretical analysis, we demonstrate the expected result that competitive exclusion of one of the consumers can occur when the growth to mortality ratios differ. However, when these ratios are identical, the outcomes are complex. Either equilibrium coexistence or mutual extinction can occur, depending on initial conditions. When there is coexistence, interaction outcomes between the consumers can transition between effective mutualism, parasitism, competition, amensalism and neutralism. We generalize to the global dynamics of a system of one resource and multiple consumers. Changes in one factor, either a parameter or initial density, can determine whether all of the consumers either coexist or go to extinction together. New results are presented showing that multiple competing consumers can coexist on a single resource when they have coevolved toward identical growth to mortality ratios. This coexistence can occur because of feedbacks created by all of the consumers providing a mutualistic service to the resource. This is biologically relevant to the persistence of pollination–mutualisms.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00285-018-1288-9","usgsCitation":"Wang, Y., Wu, H., and DeAngelis, D.L., 2019, Global dynamics of a mutualism–competition model with one resource and multiple consumers: Journal of Mathematical Biology, v. 78, no. 3, p. 683-710, https://doi.org/10.1007/s00285-018-1288-9.","productDescription":"28 p.","startPage":"683","endPage":"710","ipdsId":"IP-098481","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":357285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-04","publicationStatus":"PW","scienceBaseUri":"5bc02fa0e4b0fc368eb53925","contributors":{"authors":[{"text":"Wang, Yuanshi","contributorId":207814,"corporation":false,"usgs":false,"family":"Wang","given":"Yuanshi","email":"","affiliations":[{"id":37637,"text":"School of Mathematics and Computational Science Sun Yat-sen University","active":true,"usgs":false}],"preferred":false,"id":744802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Hong","contributorId":207815,"corporation":false,"usgs":false,"family":"Wu","given":"Hong","email":"","affiliations":[{"id":37637,"text":"School of Mathematics and Computational Science Sun Yat-sen University","active":true,"usgs":false}],"preferred":false,"id":744803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":744801,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204246,"text":"70204246 - 2019 - Passive experimental warming decouples air and sediment temperatures in a salt marsh","interactions":[],"lastModifiedDate":"2019-07-17T12:17:19","indexId":"70204246","displayToPublicDate":"2018-09-11T10:36:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2622,"text":"Limnology and Oceanography: Methods","active":true,"publicationSubtype":{"id":10}},"title":"Passive experimental warming decouples air and sediment temperatures in a salt marsh","docAbstract":"Open top chambers (OTCs) are a commonly used passive warming technique in experimental warming studies. OTCs have been shown to be effective in multiple types of terrestrial systems, but their utility in wetland environments remains uncertain. The objective of this work was to evaluate the effectiveness of using OTCs to warm a temperate salt marsh across diurnal and seasonal cycles. We found that OTCs are effective at warming air temperatures on the marsh, with average air temperatures 1.6 ± 0.007 °C and 1.1 ± 0.006 °C warmer within the high and low marsh, respectively over a 16-month period. In contrast, OTCs were ineffective at warming sediments, especially during the day. In fact, sediment temperatures within the OTC were cooler during the day relative to ambient conditions. Such daytime warming of air, but cooling of sediments relative to ambient conditions resulted in a significant decoupling of above and belowground temperatures in the marsh (r = -0.99 and -0.82 on low and high marsh, respectively). Our data indicate that shading by OTCs was responsible for the daytime sediment cooling relative to ambient conditions during most of the year, as incoming solar radiation was reduced by 30% within OTCs. Wet sediments require more energy to heat than the air due to their higher specific heat capacity. Thus, reductions in radiation by OTCs prevented effective warming of sediments, but still allowed for the warming of air. In turn, we conclude that OTCs are not an effective method to experimentally warm tidal marsh sediments.","language":"English","publisher":"Wiley","doi":"10.1002/lom3.10270","usgsCitation":"Carey, J.C., Kroeger, K.D., Zafari, B., and Tang, J., 2019, Passive experimental warming decouples air and sediment temperatures in a salt marsh: Limnology and Oceanography: Methods, v. 16, no. 10, p. 640-648, https://doi.org/10.1002/lom3.10270.","productDescription":"9 p.","startPage":"640","endPage":"648","ipdsId":"IP-101283","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468094,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lom3.10270","text":"Publisher Index Page"},{"id":365578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"10","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Carey, Joanna C.","contributorId":177397,"corporation":false,"usgs":false,"family":"Carey","given":"Joanna","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":766187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":766188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zafari, Babak","contributorId":216967,"corporation":false,"usgs":false,"family":"Zafari","given":"Babak","email":"","affiliations":[],"preferred":false,"id":766189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tang, Jianwu","contributorId":174890,"corporation":false,"usgs":false,"family":"Tang","given":"Jianwu","email":"","affiliations":[{"id":27818,"text":"The Ecosystems Center, Marine Biological Laboratory. Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":766190,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199204,"text":"70199204 - 2019 - Selected trace-elements in alluvium and rocks, western Mojave Desert, southern California","interactions":[],"lastModifiedDate":"2019-03-15T12:47:39","indexId":"70199204","displayToPublicDate":"2018-09-10T13:54:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Selected trace-elements in alluvium and rocks, western Mojave Desert, southern California","docAbstract":"<p><span>Concentrations of twenty-seven elements, including naturally-occurring water-quality contaminants arsenic, chromium, and uranium, were measured in 217 samples of alluvium and rock from the western Mojave Desert, southern California, using portable (pXRF) and laboratory (LXRF) X-ray fluorescence. Comparison of measurements with NIST-traceable standards was good, although pXRF overestimated iron compared to LXRF. Results suggest pXRF survey data are sufficiently accurate to assess regional geochemical differences in geologic-source terrains. Principal component analysis showed rubidium and potassium were associated with alluvium eroded from felsic terrain, while iron, copper, chromium, and to a lesser extent titanium, manganese, and nickel were associated with alluvium eroded from mafic terrain. Zinc, vanadium, and arsenic were associated with alluvium eroded from hydrothermal terrain. Elemental assemblages associated with different source terrains were traced spatially to identify the source and composition of alluvium composing aquifers pumped for water supply. Changes in geologic source terrain to the Mojave River, associated with movement along the San Andreas Fault over the past one to five million years, reduced the mafic fraction and increased the felsic fraction of alluvium deposited to the regionally important floodplain aquifer along the Mojave River—lowering chromium concentrations in alluvium through geologic time. Comparison of pXRF and sequential extraction data from 40 samples showed arsenic and uranium were more abundant on the surfaces of mineral grains, while chromium and vanadium remained mostly within unweathered mineral grains—suggesting arsenic and uranium may be more readily mobilized into groundwater with changes in pH, redox, or ionic strength than chromium or vanadium.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2018.09.005","usgsCitation":"Groover, K., and Izbicki, J.A., 2019, Selected trace-elements in alluvium and rocks, western Mojave Desert, southern California: Journal of Geochemical Exploration, v. 200, p. 234-248, https://doi.org/10.1016/j.gexplo.2018.09.005.","productDescription":"15 p.","startPage":"234","endPage":"248","ipdsId":"IP-069818","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":468095,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gexplo.2018.09.005","text":"Publisher Index Page"},{"id":357205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.5,\n              34\n            ],\n            [\n              -116,\n              34\n            ],\n            [\n              -116,\n              35.5\n            ],\n            [\n              -117.5,\n              35.5\n            ],\n            [\n              -117.5,\n              34\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"200","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a262e4b0702d0e842e4a","contributors":{"authors":[{"text":"Groover, Krishangi D. 0000-0002-5805-8913","orcid":"https://orcid.org/0000-0002-5805-8913","contributorId":203450,"corporation":false,"usgs":true,"family":"Groover","given":"Krishangi D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":744652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":152474,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":744653,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227746,"text":"70227746 - 2019 - Land management alters traditional nutritional benefits of migration for elk","interactions":[],"lastModifiedDate":"2022-01-28T15:55:58.93308","indexId":"70227746","displayToPublicDate":"2018-09-10T09:48:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Land management alters traditional nutritional benefits of migration for elk","docAbstract":"<p><span>Ungulates typically migrate to maximize nutritional intake when forage varies seasonally. In western North America, however, increasing numbers of ungulates reside on low-elevation winter range year-round rather than migrating. These residents often occupy irrigated agricultural areas, but it is not known whether the nutrition provided by agricultural land exceeds that gained by migration. We evaluated the nutrition available to a partially migratory population of elk (</span><i>Cervus canadensis</i><span>) in west-central Montana where some individuals summered on low-elevation agricultural lands, whereas others summered on traditional higher-elevation ranges. We sampled elk forage plants from ground plots and adult female elk movements from global positioning system (GPS) collar locations during late summer for 2 years. We tested for differences in the nutrition provided by 11 vegetative communities commonly available to elk in the Rocky Mountains and the nutrition available in areas used by individuals whose behaviors ranged from residency to migration. We found the nutrition available to elk decreased along the continuum from resident to migratory behavior, contrary to our hypothesis that all behaviors would provide access to equivalent forage quality. The relatively small summer home ranges of migrants suggest other factors (e.g., decreased competition) may compensate for their lower nutritional value, because the size of a home range is often inversely related to its fitness benefits. We found irrigated agriculture provided the highest forage quality in low elevations, but recently burned (1–6 yr prior) dry forests at higher elevations provided forage quality approximately equivalent to that of irrigated agriculture. Excluding elk from irrigated agricultural areas should therefore reduce nutritional incentives for elk to reside at low elevations year-round. Additionally, fire in higher-elevation dry forests may temporarily increase forage quality for elk and improve nutritional benefits of migratory behavior. Our results indicate land management practices can affect nutritionally mediated fitness benefits of differing behaviors in partially migratory populations of ungulates</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21564","usgsCitation":"Barker, K.J., Mitchell, M.S., Proffitt, K., and DeVoe, J., 2019, Land management alters traditional nutritional benefits of migration for elk: Journal of Wildlife Management, v. 83, no. 1, p. 167-174, https://doi.org/10.1002/jwmg.21564.","productDescription":"8 p.","startPage":"167","endPage":"174","ipdsId":"IP-090637","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"North Sapphire Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.14520263671875,\n              46.3583020562222\n            ],\n            [\n              -113.50799560546875,\n              46.3583020562222\n            ],\n            [\n              -113.50799560546875,\n              46.931509883369316\n            ],\n            [\n              -114.14520263671875,\n              46.931509883369316\n            ],\n            [\n              -114.14520263671875,\n              46.3583020562222\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"83","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-09-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Barker, Kristin J.","contributorId":204755,"corporation":false,"usgs":false,"family":"Barker","given":"Kristin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":832019,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Proffitt, Kelly 0000-0001-5528-3309","orcid":"https://orcid.org/0000-0001-5528-3309","contributorId":210093,"corporation":false,"usgs":false,"family":"Proffitt","given":"Kelly","email":"","affiliations":[{"id":38065,"text":"Montana Fish, Wildlife and Parks, Bozeman, Montana","active":true,"usgs":false}],"preferred":false,"id":832018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeVoe, Jesse","contributorId":243380,"corporation":false,"usgs":false,"family":"DeVoe","given":"Jesse","email":"","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":832017,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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