{"pageNumber":"389","pageRowStart":"9700","pageSize":"25","recordCount":68869,"records":[{"id":70192064,"text":"70192064 - 2017 - Amphibians, pesticides, and the amphibian chytrid fungus in restored wetlands in agricultural landscapes","interactions":[],"lastModifiedDate":"2017-10-25T11:05:19","indexId":"70192064","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Amphibians, pesticides, and the amphibian chytrid fungus in restored wetlands in agricultural landscapes","docAbstract":"Information on interactions between pesticide exposure and disease prevalence in amphibian populations is limited, especially from field data. Exposure to certain herbicides and insecticides has the potential to decrease the immune response in frogs, which can potentially lead to increased abundance of Batrachochytrium dendrobatidis (Bd) zoospores on individuals and in the wetlands. In contrast, exposure to certain fungicides can decrease Bd abundance on frog skin. We examined the relationships between the abundance of Bd on the skin of individual Boreal Chorus Frogs (Pseudacris maculata) and the concentrations of pesticides in the water and in frog tissue at six agriculturally dominated wetlands in Iowa, USA. We collected frogs from each wetland, swabbed them for Bd, and analyzed their tissues for a suite of fungicides, herbicides, and insecticides. We collected surface water from the wetlands and we analyzed it for the same suite of pesticides. We observed no relationship between Bd zoospores on the skin of individual frogs and the concentrations of total pesticides, total herbicides/insecticides and total fungicides in frog tissue. Similarly, we observed no relationship between Bd zoospore abundance in water and the concentration of total pesticides or total herbicides in water. However, we observed a negative relationship between Bd zoospore abundance in water and neonicotinoid concentrations in surface water. Negative results are seldom reported but can be important contributors to a more complete understanding of the complex and potentially synergistic relationships between disease and pesticides. Data from field studies on these relationships are particularly scarce. As our laboratory understanding of these relationships expands, the need for field based, or applied, studies grow.","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Reeves, R.A., Pierce, C., Vandever, M.W., Muths, E.L., and Smalling, K.L., 2017, Amphibians, pesticides, and the amphibian chytrid fungus in restored wetlands in agricultural landscapes: Herpetological Conservation and Biology, v. 12, p. 68-77.","productDescription":"10 p.","startPage":"68","endPage":"77","ipdsId":"IP-078902","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":347332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347331,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol12_issue1.html"}],"country":"United States","state":"Iowa","volume":"12","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a5e4b0220bbd9d9f53","contributors":{"authors":[{"text":"Reeves, Rebecca A.","contributorId":150493,"corporation":false,"usgs":false,"family":"Reeves","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":714051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":714052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandever, Mark W. 0000-0003-0247-2629 vandeverm@usgs.gov","orcid":"https://orcid.org/0000-0003-0247-2629","contributorId":197674,"corporation":false,"usgs":true,"family":"Vandever","given":"Mark","email":"vandeverm@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":714053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":714054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smalling, Kelly L. 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":190789,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","email":"ksmall@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714050,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193537,"text":"70193537 - 2017 - Motivations for enrollment into the Conservation Reserve Enhancement Program in the James River Basin of South Dakota","interactions":[],"lastModifiedDate":"2017-11-06T10:25:06","indexId":"70193537","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Motivations for enrollment into the Conservation Reserve Enhancement Program in the James River Basin of South Dakota","docAbstract":"<p><span>The Conservation Reserve Enhancement Program (CREP) targets high-priority conservation needs (e.g., water quality, wildlife habitat) by paying landowners an annual rental rate to remove environmentally sensitive or agriculturally unproductive lands from rowcrop production, and then implement conservation practices on these lands. This study examined motivations of South Dakota landowners for enrolling in the James River Basin CREP. All 517 newly enrolled landowners were mailed a questionnaire in 2014 measuring demographics, behaviors, opinions, and motivations (60% response rate). Cluster analysis of 10 motivations for enrolling identified three motivation groups (wildlife&nbsp;=&nbsp;40%, financial&nbsp;=&nbsp;35%, environmental&nbsp;=&nbsp;25%). The financial group had the youngest mean age (62&nbsp;years), followed by the wildlife (65) and environmental groups (68). Among respondents, 43% favored the public access requirement of this CREP with the environmental group most in favor. Understanding landowner enrollment motivations and decision criteria will assist in strategies (e.g., financial incentives, increasing yield via habitat restoration) for increasing future participation.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2017.1324069","usgsCitation":"Pfrimmer, J., Gigliotti, L.M., Stafford, J., Schumann, D., and Bertrand, K., 2017, Motivations for enrollment into the Conservation Reserve Enhancement Program in the James River Basin of South Dakota: Human Dimensions of Wildlife, v. 22, no. 4, p. 382-389, https://doi.org/10.1080/10871209.2017.1324069.","productDescription":"8 p.","startPage":"382","endPage":"389","ipdsId":"IP-077042","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"James River Basin","volume":"22","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a00314fe4b0531197b5a744","contributors":{"authors":[{"text":"Pfrimmer, Jarrett","contributorId":199502,"corporation":false,"usgs":false,"family":"Pfrimmer","given":"Jarrett","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":719303,"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":719302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stafford, Joshua","contributorId":199503,"corporation":false,"usgs":false,"family":"Stafford","given":"Joshua","affiliations":[{"id":561,"text":"South Dakota Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":719304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schumann, David","contributorId":199504,"corporation":false,"usgs":false,"family":"Schumann","given":"David","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":719305,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bertrand, Katie","contributorId":199505,"corporation":false,"usgs":false,"family":"Bertrand","given":"Katie","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":719306,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193276,"text":"70193276 - 2017 - Dynamic oceanography determines fine scale foraging behavior of Masked Boobies in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2017-11-11T15:17:58","indexId":"70193276","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic oceanography determines fine scale foraging behavior of Masked Boobies in the Gulf of Mexico","docAbstract":"<p>During breeding, foraging marine birds are under biological, geographic, and temporal constraints. These contraints require foraging birds to efficiently process environmental cues derived from physical habitat features that occur at nested spatial scales. Mesoscale oceanography in particular may change rapidly within and between breeding seasons, and findings from well-studied systems that relate oceanography to seabird foraging may transfer poorly to regions with substantially different oceanographic conditions. Our objective was to examine foraging behavior of a pan-tropical seabird, the Masked Booby (<i>Sula dactylatra</i>), in the understudied Caribbean province, a moderately productive region driven by highly dynamic currents and fronts. We tracked 135 individuals with GPS units during May 2013, November 2013, and December 2014 at a regionally important breeding colony in the southern Gulf of Mexico. We measured foraging behavior using characteristics of foraging trips and used area restricted search as a proxy for foraging events. Among individual attributes, nest stage contributed to differences in foraging behavior whereas sex did not. Birds searched for prey at nested hierarchical scales ranging from 200 m—35 km. Large-scale coastal and shelf-slope fronts shifted position between sampling periods and overlapped geographically with overall foraging locations. At small scales (at the prey patch level), the specific relationship between environmental variables and foraging behavior was highly variable among individuals but general patterns emerged. Sea surface height anomaly and velocity of water were the strongest predictors of area restricted search behavior in random forest models, a finding that is consistent with the characterization of the Gulf of Mexico as an energetic system strongly influenced by currents and eddies. Our data may be combined with tracking efforts in the Caribbean province and across tropical regions to advance understanding of seabird sensing of the environment and serve as a baseline for anthropogenic based threats such as development, pollution, and commercial fisheries.</p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0178318","usgsCitation":"Poli, C.L., Harrison, A., Vallarino, A., Gerard, P.D., and Jodice, P.G., 2017, Dynamic oceanography determines fine scale foraging behavior of Masked Boobies in the Gulf of Mexico: PLoS ONE, v. 12, no. 6, Article e0178318; 24 p., https://doi.org/10.1371/journal.pone.0178318.","productDescription":"Article e0178318; 24 p.","ipdsId":"IP-079143","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469859,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0178318","text":"Publisher Index Page"},{"id":348611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Gulf of Mexico, Isla Muertos","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.83932495117188,\n              22.328481987166487\n            ],\n            [\n              -89.57290649414062,\n              22.328481987166487\n            ],\n            [\n              -89.57290649414062,\n              22.590556292249634\n            ],\n            [\n              -89.83932495117188,\n              22.590556292249634\n            ],\n            [\n              -89.83932495117188,\n              22.328481987166487\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-02","publicationStatus":"PW","scienceBaseUri":"5a07e8d2e4b09af898c8cbb9","contributors":{"authors":[{"text":"Poli, Caroline L.","contributorId":199252,"corporation":false,"usgs":false,"family":"Poli","given":"Caroline","email":"","middleInitial":"L.","affiliations":[{"id":12558,"text":"University of Florida, Gainesville","active":true,"usgs":false},{"id":33234,"text":"Clemson University, Clemson, SC","active":true,"usgs":false}],"preferred":false,"id":718501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Autumn-Lynn","contributorId":199253,"corporation":false,"usgs":false,"family":"Harrison","given":"Autumn-Lynn","email":"","affiliations":[{"id":17600,"text":"Migratory Bird Center, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, DC","active":true,"usgs":false}],"preferred":false,"id":718502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vallarino, Adriana","contributorId":199254,"corporation":false,"usgs":false,"family":"Vallarino","given":"Adriana","email":"","affiliations":[{"id":35488,"text":"Centro de Investigacion y de Estudios Unidad Merida","active":true,"usgs":false}],"preferred":false,"id":718503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerard, Patrick D.","contributorId":199255,"corporation":false,"usgs":false,"family":"Gerard","given":"Patrick","email":"","middleInitial":"D.","affiliations":[{"id":33234,"text":"Clemson University, Clemson, SC","active":true,"usgs":false}],"preferred":false,"id":718504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":718500,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197050,"text":"70197050 - 2017 - Length limits fail to restructure a Largemouth Bass population: A 28‐year case history","interactions":[],"lastModifiedDate":"2018-05-15T15:50:54","indexId":"70197050","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","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":"Length limits fail to restructure a Largemouth Bass population: A 28‐year case history","docAbstract":"<p><span>Length limits have been implemented by fisheries management agencies to achieve population density, size structure, and angler satisfaction objectives. By redirecting harvest towards or away from particular length‐ or age‐groups, length limits rely on harvest by anglers to maintain a population at or near a desired state. The fish population changes that follow the implementation of harvest regulations may take several years to manifest, so long‐term monitoring may be needed to adequately evaluate length limits. We used an innovative application of cluster analysis to facilitate evaluation of the effects of three consecutive length limits on a population of Largemouth Bass&nbsp;</span><i>Micropterus salmoides</i><span><span>&nbsp;</span>over a 28‐year period in Ross Barnett Reservoir, Mississippi. A 13–16‐in protected slot length limit (10 years), followed by a 15‐in minimum length limit (MLL; 11 years), followed by a 12‐in MLL (7 years) failed to restructure the Largemouth Bass population due to what we suggest was the expansion of a voluntary catch‐and‐release attitude that started in the first decade of the study period. Various population metrics shifted towards values expected in an unharvested population, and the observed shifts can be attributed to a harvest deficit created by the prevailing catch‐and‐release attitude. Largemouth Bass harvest regulations may no longer be relevant in many waters. The utility of regulations for restructuring Largemouth Bass populations is largely dependent on harvesting attitudes that vary geographically, depending on cultural characteristics and demographics.</span></p>","language":"English","publisher":"Wiley","doi":"10.1080/02755947.2017.1308891","usgsCitation":"Miranda, L.E., Colvin, M., Shamaskin, A., Bull, L.A., Holman, T., and Jones, R., 2017, Length limits fail to restructure a Largemouth Bass population: A 28‐year case history: North American Journal of Fisheries Management, v. 37, no. 3, p. 624-632, https://doi.org/10.1080/02755947.2017.1308891.","productDescription":"9 p.","startPage":"624","endPage":"632","ipdsId":"IP-079578","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-27","publicationStatus":"PW","scienceBaseUri":"5afee86ce4b0da30c1bfc445","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":735374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colvin, M.E.","contributorId":53190,"corporation":false,"usgs":true,"family":"Colvin","given":"M.E.","affiliations":[],"preferred":false,"id":735414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shamaskin, A. C.","contributorId":204901,"corporation":false,"usgs":false,"family":"Shamaskin","given":"A. C.","affiliations":[],"preferred":false,"id":735415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bull, L. A.","contributorId":204902,"corporation":false,"usgs":false,"family":"Bull","given":"L.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":735416,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holman, T.","contributorId":204903,"corporation":false,"usgs":false,"family":"Holman","given":"T.","email":"","affiliations":[],"preferred":false,"id":735417,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, R.","contributorId":63585,"corporation":false,"usgs":true,"family":"Jones","given":"R.","affiliations":[],"preferred":false,"id":735418,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192735,"text":"70192735 - 2017 - A decade of boreal rich fen greenhouse gas fluxes in response to natural and experimental water table variability","interactions":[],"lastModifiedDate":"2017-11-08T13:06:03","indexId":"70192735","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"A decade of boreal rich fen greenhouse gas fluxes in response to natural and experimental water table variability","docAbstract":"<p><span>Rich fens are common boreal ecosystems with distinct hydrology, biogeochemistry and ecology that influence their carbon (C) balance. We present growing season soil chamber methane emission (F</span><sub>CH</sub><sub>4</sub><span>), ecosystem respiration (ER), net ecosystem exchange (NEE) and gross primary production (GPP) fluxes from a 9-years water table manipulation experiment in an Alaskan rich fen. The study included major flood and drought years, where wetting and drying treatments further modified the severity of droughts. Results support previous findings from peatlands that drought causes reduced magnitude of growing season F</span><sub>CH</sub><sub>4</sub><span>, GPP and NEE, thus reducing or reversing their C sink function. Experimentally exacerbated droughts further reduced the capacity for the fen to act as a C sink by causing shifts in vegetation and thus reducing magnitude of maximum growing season GPP in subsequent flood years by ~15% compared to control plots. Conversely, water table position had only a weak influence on ER, but dominant contribution to ER switched from autotrophic respiration in wet years to heterotrophic in dry years. Droughts did not cause inter-annual lag effects on ER in this rich fen, as has been observed in several nutrient-poor peatlands. While ER was dependent on soil temperatures at 2&nbsp;cm depth, F</span><sub>CH</sub><sub>4</sub><span><span>&nbsp;</span>was linked to soil temperatures at 25&nbsp;cm. Inter-annual variability of deep soil temperatures was in turn dependent on wetness rather than air temperature, and higher F</span><sub>CH</sub><sub>4</sub><span><span>&nbsp;</span>in flooded years was thus equally due to increased methane production at depth and decreased methane oxidation near the surface. Short-term fluctuations in wetness caused significant lag effects on F</span><sub>CH</sub><sub>4</sub><span>, but droughts caused no inter-annual lag effects on F</span><sub>CH</sub><sub>4</sub><span>. Our results show that frequency and severity of droughts and floods can have characteristic effects on the exchange of greenhouse gases, and emphasize the need to project future hydrological regimes in rich fens.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13612","usgsCitation":"Olefeldt, D., Euskirchen, E., Harden, J.W., Kane, E.S., McGuire, A.D., Waldrop, M.P., and Turetsky, M.R., 2017, A decade of boreal rich fen greenhouse gas fluxes in response to natural and experimental water table variability: Global Change Biology, v. 23, no. 6, p. 2428-2440, https://doi.org/10.1111/gcb.13612.","productDescription":"13 p.","startPage":"2428","endPage":"2440","ipdsId":"IP-075210","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-31","publicationStatus":"PW","scienceBaseUri":"5a0425b8e4b0dc0b45b45367","contributors":{"authors":[{"text":"Olefeldt, David","contributorId":169408,"corporation":false,"usgs":false,"family":"Olefeldt","given":"David","affiliations":[{"id":32365,"text":"Department of Renewable Resources, University of Alberta","active":true,"usgs":false}],"preferred":false,"id":721161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Euskirchen, Eugénie S.","contributorId":83378,"corporation":false,"usgs":false,"family":"Euskirchen","given":"Eugénie S.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":721162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":721163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kane, Evan S.","contributorId":11903,"corporation":false,"usgs":true,"family":"Kane","given":"Evan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":721164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":721165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":721166,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192741,"text":"70192741 - 2017 - Aquatic ecosystems in a changing climate","interactions":[],"lastModifiedDate":"2017-11-17T11:17:56","indexId":"70192741","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic ecosystems in a changing climate","docAbstract":"<p>Extreme climate events (ECEs) such as tropical storms and hurricanes, thunderstorms, heat waves, droughts, ice storms, and snow storms have increased and are projected to further increase in intensity and frequency across the world. These events are expected to have significant consequences for aquatic ecosystems with the potential for large changes in ecosystem processes, responses, and functions.</p>","language":"English","publisher":"AGU","doi":"10.1029/2017EO076549","usgsCitation":"Inamdar, S., Shanley, J.B., and McDowell, W.H., 2017, Aquatic ecosystems in a changing climate: Eos, Earth and Space Science News, v. 98, HTML Document, https://doi.org/10.1029/2017EO076549.","productDescription":"HTML Document","ipdsId":"IP-087301","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":469790,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017eo076549","text":"Publisher Index Page"},{"id":349060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fbbde4b06e28e9c2353f","contributors":{"authors":[{"text":"Inamdar, Shreeram","contributorId":177337,"corporation":false,"usgs":false,"family":"Inamdar","given":"Shreeram","affiliations":[],"preferred":false,"id":716802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDowell, William H.","contributorId":198684,"corporation":false,"usgs":false,"family":"McDowell","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":716803,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193818,"text":"70193818 - 2017 - Influence of genetic background, salinity, and inoculum size on growth of the ichthyotoxic golden alga (Prymnesium parvum)","interactions":[],"lastModifiedDate":"2017-11-06T10:50:26","indexId":"70193818","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Influence of genetic background, salinity, and inoculum size on growth of the ichthyotoxic golden alga (<i>Prymnesium parvum</i>)","title":"Influence of genetic background, salinity, and inoculum size on growth of the ichthyotoxic golden alga (Prymnesium parvum)","docAbstract":"<p><span>Salinity (5–30) effects on golden alga growth were determined at a standard laboratory temperature (22</span><span>&nbsp;</span><span>°C) and one associated with natural blooms (13</span><span>&nbsp;</span><span>°C). Inoculum-size effects were determined over a wide size range (100–100,000</span><span>&nbsp;</span><span>cells</span><span>&nbsp;</span><span>ml</span><sup>−1</sup><span>). A strain widely distributed in the USA, UTEX-2797 was the primary study subject but another of limited distribution, UTEX-995 was used to evaluate growth responses in relation to genetic background. Variables examined were exponential growth rate (</span><i>r</i><span>), maximum cell density (max-D) and, when inoculum size was held constant (100</span><span>&nbsp;</span><span>cells</span><span>&nbsp;</span><span>ml</span><sup>−1</sup><span>), density at onset of exponential growth (early-D). In UTEX-2797, max-D increased as salinity increased from 5 to ∼10–15 and declined thereafter regardless of temperature but<span>&nbsp;</span></span><i>r</i><span><span>&nbsp;</span>remained generally stable and only declined at salinity of 25–30. In addition, max-D correlated positively with<span>&nbsp;</span></span><i>r</i><span><span>&nbsp;</span>and early-D, the latter also being numerically highest at salinity of 15. In UTEX-995, max-D and<span>&nbsp;</span></span><i>r</i><span><span>&nbsp;</span>responded similarly to changes in salinity − they remained stable at salinity of 5–10 and 5–15, respectively, and declined at higher salinity. Also, max-D correlated with<span>&nbsp;</span></span><i>r</i><span><span>&nbsp;</span>but not early-D. Inoculum size positively and negatively influenced max-D and<span>&nbsp;</span></span><i>r</i><span>, respectively, in both strains and these effects were significant even when the absolute size difference was small (100 versus 1000 cells ml</span><sup>−1</sup><span>). When cultured under similar conditions, UTEX-2797 grew faster and to much higher density than UTEX-995. In conclusion, (1) UTEX-2797’s superior growth performance may explain its relatively wide distribution in the USA, (2) the biphasic growth response of UTEX-2797 to salinity variation, with peak abundance at salinity of 10–15, generally mirrors golden alga abundance-salinity associations in US inland waters, and (3) early cell density – whether artificially manipulated or naturally attained – can influence UTEX-2797 bloom potential.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2017.05.010","usgsCitation":"Rashel, R.H., and Patino, R., 2017, Influence of genetic background, salinity, and inoculum size on growth of the ichthyotoxic golden alga (Prymnesium parvum): Harmful Algae, v. 66, p. 97-104, https://doi.org/10.1016/j.hal.2017.05.010.","productDescription":"8 p.","startPage":"97","endPage":"104","ipdsId":"IP-082874","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348248,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8d1e4b09af898c8cbb3","contributors":{"authors":[{"text":"Rashel, Rakib H.","contributorId":200015,"corporation":false,"usgs":false,"family":"Rashel","given":"Rakib","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":720653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720601,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192220,"text":"70192220 - 2017 - Sources and ages of fine-grained sediment to streams using fallout radionuclides in the Midwestern United States","interactions":[],"lastModifiedDate":"2017-10-24T12:55:07","indexId":"70192220","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Sources and ages of fine-grained sediment to streams using fallout radionuclides in the Midwestern United States","docAbstract":"<p><span>Fallout radionuclides,&nbsp;</span><sup>7</sup><span>Be and<span>&nbsp;</span></span><sup>210</sup><span>Pb</span><sub>ex</sub><span>, sampled in bed sediment for 99 watersheds in the Midwestern region of the United States and in 15 samples of suspended sediment from 3 of these watersheds were used to partition upland from channel sources and to estimate the age or the time since the surface-derived portion of sediment was on the land surface (0–∼1 year). Channel sources dominate: 78 of the 99 bed material sites (79%) have &gt;50% channel-derived sediment, and 9 of the 15 suspended-sediment samples (60%) have &gt;50% channel-derived sediment.<span>&nbsp;</span></span><sup>7</sup><span>Be was detected in 82 bed sediment samples and all 15 suspended-sediment samples. The surface-derived portion of 54 of the 80 (68%) streams with detectable<span>&nbsp;</span></span><sup>7</sup><span>Be and<span>&nbsp;</span></span><sup>210</sup><span>Pb</span><sub>ex</sub><span><span>&nbsp;</span>were&nbsp;≤&nbsp;100 days old and the surface-derived portion of all suspended-sediment samples were&nbsp;≤&nbsp;100 days old, indicating that surface-derived fine-grained sediment moves rapidly though these systems. The concentrations of two hydrophobic pesticides–DDE and bifenthrin–are correlated with the proportion of surface-derived sediment, indicating a link between geomorphic processes and particle-associated contaminants in streams. Urban areas had the highest pesticide concentrations and the largest percentage of surface-derived sediment. Although the percentage of surface-derived sediment is less than channel sources at most of the study sites, the relatively young age of the surface-derived sediment might indicate that management actions to reduce sediment contamination where the land surface is an important source could have noticeable effects.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.06.018","usgsCitation":"Gellis, A.C., Fuller, C.C., and Van Metre, P., 2017, Sources and ages of fine-grained sediment to streams using fallout radionuclides in the Midwestern United States: Journal of Environmental Management, v. 194, p. 73-85, https://doi.org/10.1016/j.jenvman.2016.06.018.","productDescription":"13 p.","startPage":"73","endPage":"85","ipdsId":"IP-072072","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":488722,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":714842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Metre, Peter C. 0000-0001-7564-9814 pcvanmet@usgs.gov","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":197363,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":714844,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188126,"text":"sir20175040 - 2017 - Water-level and recoverable water in storage changes, High Plains aquifer, predevelopment to 2015 and 2013–15","interactions":[],"lastModifiedDate":"2017-06-01T16:33:02","indexId":"sir20175040","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5040","title":"Water-level and recoverable water in storage changes, High Plains aquifer, predevelopment to 2015 and 2013–15","docAbstract":"<p>The High Plains aquifer underlies 111.8 million acres (about 175,000 square miles) in parts of eight States—Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming. Water-level declines began in parts of the High Plains aquifer soon after the beginning of substantial irrigation with groundwater in the aquifer area (about 1950). This report presents water-level changes and change in recoverable water in storage in the High Plains aquifer from predevelopment (about 1950) to 2015 and from 2013 to 2015.</p><p>The methods to calculate area-weighted, average water-level changes; change in recoverable water in storage; and total recoverable water in storage used geospatial data layers organized as rasters with a cell size of 500 meters by 500 meters, which is an area of about 62 acres. Raster datasets of water-level changes are provided for other uses.</p><p>Water-level changes from predevelopment to 2015, by well, ranged from a rise of 84 feet to a decline of 234 feet. Water-level changes from 2013 to 2015, by well, ranged from a rise of 24 feet to a decline of 33 feet. The area-weighted, average water-level changes in the aquifer were an overall decline of 15.8 feet from predevelopment to 2015 and a decline of 0.6 feet from 2013 to 2015. Total recoverable water in storage in the aquifer in 2015 was about 2.91 billion acre-feet, which was a decline of about 273.2 million acre-feet since predevelopment and a decline of 10.7 million acre-feet from 2013 to 2015.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175040","collaboration":"Groundwater and Streamflow Information Program","usgsCitation":"McGuire, V.L., 2017, Water-level and recoverable water in storage changes, High Plains aquifer, predevelopment to 2015 and 2013–15: U.S. Geological Survey Scientific Investigations Report 2017–5040, 14 p., https://doi.org/10.3133/sir20175040.","productDescription":"Report: vi, 14 p.; Data Release","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-079654","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":341985,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SB43WM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Data used to map water-level changes in the High Plains aquifer, predevelopment (about 1950) to 2015 and 2013 to 2015"},{"id":341997,"rank":4,"type":{"id":18,"text":"Project Site"},"url":"https://www.usgs.gov/science/mission-areas/water/groundwater-and-streamflow-information?qt-programs_l2_landing_page=0#qt-programs_l2_landing_page","text":"Groundwater and Streamflow Information Program"},{"id":341983,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5040/coverthb.jpg"},{"id":341984,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5040/sir20175040.pdf","text":"Report","size":"2.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5040"}],"country":"United States","state":"Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, Wyoming","otherGeospatial":"High Plains Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106,\n              32\n            ],\n            [\n              -96,\n              32\n            ],\n            [\n              -96,\n              44\n            ],\n            [\n              -106,\n              44\n            ],\n            [\n              -106,\n              32\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto: dc_ne@usgs.gov\" data-mce-href=\"mailto: dc_ne@usgs.gov\">Director</a>, <a href=\"https://ne.water.usgs.gov\" data-mce-href=\"https://ne.water.usgs.gov\">Nebraska Water Science Center</a><br>U.S. Geological Survey<br>5231 South 19th Street <br>Lincoln, NE 68512</p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Data and Methods<br></li><li>Water-Level Changes<br></li><li>Change in Recoverable Water in Storage, Predevelopment to 2015 and 2013–15<br></li><li>Summary<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2017-06-01","noUsgsAuthors":false,"publicationDate":"2017-06-01","publicationStatus":"PW","scienceBaseUri":"593127afe4b0e9bd0ea9ef0a","contributors":{"authors":[{"text":"McGuire, Virginia L. 0000-0002-3962-4158 vlmcguir@usgs.gov","orcid":"https://orcid.org/0000-0002-3962-4158","contributorId":404,"corporation":false,"usgs":true,"family":"McGuire","given":"Virginia","email":"vlmcguir@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":696845,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70188901,"text":"70188901 - 2017 - Complex mixtures of Pesticides in Midwest U.S. streams indicated by POCIS time-integrating samplers","interactions":[],"lastModifiedDate":"2021-05-27T13:43:26.845215","indexId":"70188901","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Complex mixtures of Pesticides in Midwest U.S. streams indicated by POCIS time-integrating samplers","docAbstract":"<p><span>The Midwest United States is an intensely agricultural region where pesticides in streams pose risks to aquatic biota, but temporal variability in pesticide concentrations makes characterization of their exposure to organisms challenging. To compensate for the effects of temporal variability, we deployed polar organic chemical integrative samplers (POCIS) in 100 small streams across the Midwest for about 5 weeks during summer 2013 and analyzed the extracts for 227 pesticide compounds. Analysis of water samples collected weekly for pesticides during POCIS deployment allowed for comparison of POCIS results with periodic water-sampling results. The median number of pesticides detected in POCIS extracts was 62, and 141 compounds were detected at least once, indicating a high level of pesticide contamination of streams in the region. Sixty-five of the 141 compounds detected were pesticide degradates. Mean water concentrations estimated using published POCIS sampling rates strongly correlated with means of weekly water samples collected concurrently, however, the POCIS-estimated concentrations generally were lower than the measured water concentrations. Summed herbicide concentrations (units of ng/POCIS) were greater at agricultural sites than at urban sites but summed concentrations of insecticides and fungicides were greater at urban sites. Consistent with these differences, summed concentrations of herbicides correlate to percent cultivated crops in the watersheds and summed concentrations of insecticides and fungicides correlate to percent urban land use. With the exception of malathion concentrations at nine sites, POCIS-estimated water concentrations of pesticides were lower than aquatic-life benchmarks. The POCIS provide an alternative approach to traditional water sampling for characterizing chronic exposure to pesticides in streams across the Midwest region.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2016.09.085","usgsCitation":"Van Metre, P., Alvarez, D., Mahler, B., Nowell, L.H., Sandstrom, M.W., and Moran, P.W., 2017, Complex mixtures of Pesticides in Midwest U.S. streams indicated by POCIS time-integrating samplers: Environmental Pollution, v. 220, no. A, p. 431-440, https://doi.org/10.1016/j.envpol.2016.09.085.","productDescription":"8 p.","startPage":"431","endPage":"440","ipdsId":"IP-077226","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":469794,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2016.09.085","text":"Publisher Index Page"},{"id":342960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.404296875,\n              36.87962060502676\n            ],\n            [\n              -82.529296875,\n              36.87962060502676\n            ],\n            [\n              -82.529296875,\n              45.767522962149876\n            ],\n            [\n              -99.404296875,\n              45.767522962149876\n            ],\n            [\n              -99.404296875,\n              36.87962060502676\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"220","issue":"A","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea5e4b062508e3c7a67","contributors":{"authors":[{"text":"Van Metre, Peter C. 0000-0001-7564-9814 pcvanmet@usgs.gov","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":172246,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":700893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, David 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":150499,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":700894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":700895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":700896,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":700897,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":700898,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191454,"text":"70191454 - 2017 - Is motivation important to brook trout passage through culverts?","interactions":[],"lastModifiedDate":"2017-10-13T11:12:24","indexId":"70191454","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Is motivation important to brook trout passage through culverts?","docAbstract":"<p><span>Culverts can restrict movement of stream-dwelling fish. Motivation to enter and ascend these structures is an essential precursor for successful passage. However, motivation is challenging to quantify. Here, we use attempt rate to assess motivation of 447 brook trout (</span><i>Salvelinus fontinalis</i><span>) entering three culverts under a range of hydraulic, environmental, and biological conditions. A passive integrated transponder system allowed for the identification of passage attempts and success of individual fish. Attempt rate was quantified using time-to-event analysis allowing for time-varying covariates and recurrent events. Attempt rate was greatest during the spawning period, at elevated discharge, at dusk, and for longer fish. It decreased during the day and with increasing number of conspecifics downstream of the culvert. Results also show a positive correlation between elevated motivation and successful passage. This study enhances understanding of factors influencing brook trout motivation to ascend culverts and shows that attempt rate is a dynamic phenomenon, variable over time and among individuals. It also presents methods that could be used to investigate other species’ motivation to pass natural or anthropogenic barriers.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0237","usgsCitation":"Goerig, E., and Castro-Santos, T.R., 2017, Is motivation important to brook trout passage through culverts?: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 6, p. 885-893, https://doi.org/10.1139/cjfas-2016-0237.","productDescription":"9 p.","startPage":"885","endPage":"893","ipdsId":"IP-076710","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469788,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://espace.inrs.ca/id/eprint/5146/1/P3101.pdf","text":"External Repository"},{"id":346570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Quebec","otherGeospatial":"Sainte-Marguerite River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.5,\n              48.6667\n            ],\n            [\n              -70,\n              48.6667\n            ],\n            [\n              -70,\n              48.3333\n            ],\n            [\n              -70.5,\n              48.3333\n            ],\n            [\n              -70.5,\n              48.6667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"74","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e1d099e4b05fe04cd117b0","contributors":{"authors":[{"text":"Goerig, Elsa","contributorId":168522,"corporation":false,"usgs":false,"family":"Goerig","given":"Elsa","email":"","affiliations":[{"id":25321,"text":"Institut National de la Recherche Scientifique","active":true,"usgs":false}],"preferred":false,"id":712337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712336,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190739,"text":"70190739 - 2017 - Erosion characteristics and horizontal variability for small erosion depths in the Sacramento-San Joaquin River Delta, California, USA","interactions":[],"lastModifiedDate":"2017-09-13T15:42:25","indexId":"70190739","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2923,"text":"Ocean Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Erosion characteristics and horizontal variability for small erosion depths in the Sacramento-San Joaquin River Delta, California, USA","docAbstract":"<p><span>Erodibility of cohesive sediment in the Sacramento-San Joaquin River Delta (Delta) was investigated with an erosion microcosm. Erosion depths in the Delta and in the microcosm were estimated to be about one floc diameter over a range of shear stresses and times comparable to half of a typical tidal cycle. Using the conventional assumption of horizontally homogeneous bed sediment, data from 27 of 34 microcosm experiments indicate that the erosion rate coefficient increased as eroded mass increased, contrary to theory. We believe that small erosion depths, erosion rate coefficient deviation from theory, and visual observation of horizontally varying biota and texture at the sediment surface indicate that erosion cannot solely be a function of depth but must also vary horizontally. We test this hypothesis by developing a simple numerical model that includes horizontal heterogeneity, use it to develop an artificial time series of suspended-sediment concentration (SSC) in an erosion microcosm, then analyze that time series assuming horizontal homogeneity. A shear vane was used to estimate that the horizontal standard deviation of critical shear stress was about 30% of the mean value at a site in the Delta. The numerical model of the erosion microcosm included a normal distribution of initial critical shear stress, a linear increase in critical shear stress with eroded mass, an exponential decrease of erosion rate coefficient with eroded mass, and a stepped increase in applied shear stress. The maximum SSC for each step increased gradually, thus confounding identification of a single well-defined critical shear stress as encountered with the empirical data. Analysis of the artificial SSC time series with the assumption of a homogeneous bed reproduced the original profile of critical shear stress, but the erosion rate coefficient increased with eroded mass, similar to the empirical data. Thus, the numerical experiment confirms the small-depth erosion hypothesis. A linear model of critical shear stress and eroded mass is proposed to simulate small-depth erosion, assuming that the applied and critical shear stresses quickly reach equilibrium.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10236-017-1047-2","usgsCitation":"Schoellhamer, D., Manning, A.J., and Work, P.A., 2017, Erosion characteristics and horizontal variability for small erosion depths in the Sacramento-San Joaquin River Delta, California, USA: Ocean Dynamics, v. 67, no. 6, p. 799-811, https://doi.org/10.1007/s10236-017-1047-2.","productDescription":"13 p.","startPage":"799","endPage":"811","ipdsId":"IP-053622","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":461533,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10236-017-1047-2","text":"Publisher Index Page"},{"id":345708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.08007812499999,\n              37.79676317682161\n            ],\n            [\n              -121.27670288085938,\n              37.79676317682161\n            ],\n            [\n              -121.27670288085938,\n              38.36211833953394\n            ],\n            [\n              -122.08007812499999,\n              38.36211833953394\n            ],\n            [\n              -122.08007812499999,\n              37.79676317682161\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"67","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"59ba43b9e4b091459a5629ba","contributors":{"authors":[{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manning, Andrew J.","contributorId":175079,"corporation":false,"usgs":false,"family":"Manning","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":710290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Work, Paul A. 0000-0002-2815-8040 pwork@usgs.gov","orcid":"https://orcid.org/0000-0002-2815-8040","contributorId":168561,"corporation":false,"usgs":true,"family":"Work","given":"Paul","email":"pwork@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710291,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189256,"text":"70189256 - 2017 - Rip currents and alongshore flows in single channels dredged in the surf zone","interactions":[],"lastModifiedDate":"2017-07-06T15:58:39","indexId":"70189256","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Rip currents and alongshore flows in single channels dredged in the surf zone","docAbstract":"<p><span>To investigate the dynamics of flows near nonuniform bathymetry, single channels (on average 30 m wide and 1.5 m deep) were dredged across the surf zone at five different times, and the subsequent evolution of currents and morphology was observed for a range of wave and tidal conditions. In addition, circulation was simulated with the numerical modeling system COAWST, initialized with the observed incident waves and channel bathymetry, and with an extended set of wave conditions and channel geometries. The simulated flows are consistent with alongshore flows and rip-current circulation patterns observed in the surf zone. Near the offshore-directed flows that develop in the channel, the dominant terms in modeled momentum balances are wave-breaking accelerations, pressure gradients, advection, and the vortex force. The balances vary spatially, and are sensitive to wave conditions and the channel geometry. The observed and modeled maximum offshore-directed flow speeds are correlated with a parameter based on the alongshore gradient in breaking-wave-driven-setup across the nonuniform bathymetry (a function of wave height and angle, water depths in the channel and on the sandbar, and a breaking threshold) and the breaking-wave-driven alongshore flow speed. The offshore-directed flow speed increases with dissipation on the bar and reaches a maximum (when the surf zone is saturated) set by the vertical scale of the bathymetric variability.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2016JC012222","usgsCitation":"Moulton, M., Elgar, S., Raubenheimer, B., Warner, J., and Kumar, N., 2017, Rip currents and alongshore flows in single channels dredged in the surf zone: Journal of Geophysical Research: Oceans, v. 122, no. 5, p. 3799-3816, https://doi.org/10.1002/2016JC012222.","productDescription":"18 p.","startPage":"3799","endPage":"3816","ipdsId":"IP-079457","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469804,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jc012222","text":"Publisher Index Page"},{"id":343455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-08","publicationStatus":"PW","scienceBaseUri":"595f4c3ce4b0d1f9f057e333","contributors":{"authors":[{"text":"Moulton, Melissa","contributorId":194341,"corporation":false,"usgs":false,"family":"Moulton","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":703772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elgar, Steve","contributorId":194339,"corporation":false,"usgs":false,"family":"Elgar","given":"Steve","email":"","affiliations":[],"preferred":false,"id":703773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raubenheimer, Britt","contributorId":194340,"corporation":false,"usgs":false,"family":"Raubenheimer","given":"Britt","email":"","affiliations":[],"preferred":false,"id":703774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":703771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kumar, Nirnimesh","contributorId":190663,"corporation":false,"usgs":false,"family":"Kumar","given":"Nirnimesh","email":"","affiliations":[],"preferred":false,"id":703775,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188605,"text":"70188605 - 2017 - Envisioning, quantifying, and managing thermal regimes on river networks","interactions":[],"lastModifiedDate":"2017-11-22T16:56:38","indexId":"70188605","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Envisioning, quantifying, and managing thermal regimes on river networks","docAbstract":"Water temperatures fluctuate in time and space, creating diverse thermal regimes on river networks. Temporal variability in these thermal\r\nlandscapes has important biological and ecological consequences because of nonlinearities in physiological reactions; spatial diversity in\r\nthermal landscapes provides aquatic organisms with options to maximize growth and survival. However, human activities and climate change\r\nthreaten to alter the dynamics of riverine thermal regimes. New data and tools can identify particular facets of the thermal landscape that\r\ndescribe ecological and management concerns and that are linked to human actions. The emerging complexity of thermal landscapes demands innovations in communication, opens the door to exciting research opportunities on the human impacts to and biological consequences of\r\nthermal variability, suggests improvements in monitoring programs to better capture empirical patterns, provides a framework for suites of\r\nactions to restore and protect the natural processes that drive thermal complexity, and indicates opportunities for better managing thermal\r\nlandscapes.","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/bix047","usgsCitation":"Steel, E.A., Beechie, T.J., Torgersen, C.E., and Fullerton, A.H., 2017, Envisioning, quantifying, and managing thermal regimes on river networks: BioScience, v. 67, no. 6, p. 506-522, https://doi.org/10.1093/biosci/bix047.","productDescription":"17 p. ","startPage":"506","endPage":"522","ipdsId":"IP-055421","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469800,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/bix047","text":"Publisher Index Page"},{"id":342612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Darrington","otherGeospatial":"Sauk River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.56681060791016,\n              48.35510833200845\n            ],\n            [\n              -121.56131744384767,\n              48.34529727896014\n            ],\n            [\n              -121.55754089355469,\n              48.322930146152395\n            ],\n            [\n              -121.56990051269533,\n              48.29552845630716\n            ],\n            [\n              -121.5853500366211,\n              48.281365151571755\n            ],\n            [\n              -121.62002563476562,\n              48.27793795546357\n            ],\n            [\n              -121.64028167724611,\n              48.29004635269247\n            ],\n            [\n              -121.66877746582031,\n              48.29507163681939\n            ],\n            [\n              -121.70413970947266,\n              48.296898890246894\n            ],\n            [\n              -121.70379638671874,\n              48.27062583530226\n            ],\n            [\n              -121.70482635498047,\n              48.25714137039319\n            ],\n            [\n              -121.68663024902344,\n              48.25256955799006\n            ],\n            [\n              -121.68594360351562,\n              48.242052838067174\n            ],\n            [\n              -121.66259765625001,\n              48.24113823848043\n            ],\n            [\n              -121.66259765625001,\n              48.234049537222916\n            ],\n            [\n              -121.60285949707031,\n              48.23496426354395\n            ],\n            [\n              -121.59770965576172,\n              48.23199134320962\n            ],\n            [\n              -121.5963363647461,\n              48.22673113793923\n            ],\n            [\n              -121.58569335937501,\n              48.22673113793923\n            ],\n            [\n              -121.58329010009766,\n              48.21849668769751\n            ],\n            [\n              -121.57814025878906,\n              48.21826793405939\n            ],\n            [\n              -121.57608032226562,\n              48.22535882155546\n            ],\n            [\n              -121.57848358154297,\n              48.268797641756244\n            ],\n            [\n              -121.5695571899414,\n              48.268569112964336\n            ],\n            [\n              -121.53282165527342,\n              48.27153990754922\n            ],\n            [\n              -121.53213500976561,\n              48.28387828258955\n            ],\n            [\n              -121.50432586669922,\n              48.28433520221762\n            ],\n            [\n              -121.49574279785156,\n              48.34871995385989\n            ],\n            [\n              -121.52389526367188,\n              48.35373946125798\n            ],\n            [\n              -121.56681060791016,\n              48.35510833200845\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"67","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-01","publicationStatus":"PW","scienceBaseUri":"5944ee13e4b062508e3335ef","contributors":{"authors":[{"text":"Steel, E. Ashley","contributorId":192227,"corporation":false,"usgs":false,"family":"Steel","given":"E.","email":"","middleInitial":"Ashley","affiliations":[],"preferred":false,"id":698557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beechie, Timothy J.","contributorId":139468,"corporation":false,"usgs":false,"family":"Beechie","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":698558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":698556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fullerton, Aimee H.","contributorId":146936,"corporation":false,"usgs":false,"family":"Fullerton","given":"Aimee","email":"","middleInitial":"H.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":698559,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188141,"text":"70188141 - 2017 - Divergence of seafloor elevation and sea level rise in coral reef ecosystems","interactions":[],"lastModifiedDate":"2017-07-05T12:31:04","indexId":"70188141","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Divergence of seafloor elevation and sea level rise in coral reef ecosystems","docAbstract":"<p><span>Coral reefs serve as natural barriers that protect adjacent shorelines from coastal hazards such as storms, waves, and erosion. Projections indicate global degradation of coral reefs due to anthropogenic impacts and climate change will cause a transition to net erosion by mid-century. Here, we provide a comprehensive assessment of the combined effect of all of the processes affecting seafloor accretion and erosion by measuring changes in seafloor elevation and volume for five coral reef ecosystems in the Atlantic, Pacific, and Caribbean over the last several decades. Regional-scale mean elevation and volume losses were observed at all five&nbsp;study sites and in 77 % of the 60 individual habitats that we examined across all study sites. Mean seafloor elevation losses for whole coral reef ecosystems in our study ranged from −0.09 to −0.8 m, corresponding to net volume losses ranging from 3.4  ×  10</span><sup>6</sup><span> to 80.5  ×  10</span><sup>6</sup><span> m</span><sup>3</sup><span> for all study sites. Erosion of both coral-dominated substrate and non-coral substrate suggests that the current rate of carbonate production is no longer sufficient to support net accretion of coral reefs or adjacent habitats. We show that regional-scale loss of seafloor elevation and volume has accelerated the rate of relative sea level rise in these regions. Current water depths have increased to levels not predicted until near the year 2100, placing these ecosystems and nearby communities at elevated and accelerating risk to coastal hazards. Our results set a new baseline for projecting future impacts to coastal communities resulting from degradation of coral reef systems and associated losses of natural and socioeconomic resources.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-14-1739-2017","usgsCitation":"Yates, K.K., Zawada, D., Smiley, N., and Tiling-Range, G., 2017, Divergence of seafloor elevation and sea level rise in coral reef ecosystems: Biogeosciences, v. 14, no. 1-15, p. 1739-1772, https://doi.org/10.5194/bg-14-1739-2017.","productDescription":"34 p.","startPage":"1739","endPage":"1772","ipdsId":"IP-069935","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469871,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-14-1739-2017","text":"Publisher Index Page"},{"id":438323,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KSJ2GI","text":"USGS data release","linkHelpText":"Florida Reef Tract 2016-2019 Seafloor Elevation Stability Models, Maps, and Tables"},{"id":438322,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RK57LQ","text":"USGS data release","linkHelpText":"Multi-grid Analysis of Point Stability Tool"},{"id":438321,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9P42DUR","text":"USGS data release","linkHelpText":"Seafloor Elevation Change From 2002 to 2016 in the Upper Florida Keys"},{"id":438320,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D5UUZ0","text":"USGS data release","linkHelpText":"Seafloor Elevation Change Analysis Tool"},{"id":438319,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E9X66R","text":"USGS data release","linkHelpText":"Projected Seafloor Elevation Along the Florida Reef Tract From Port St. Lucie to Marquesas Key, Florida-100 Years From 2001 Based on Historical Rates of Mean Elevation Change"},{"id":438318,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WZM3PU","text":"USGS data release","linkHelpText":"Projected Seafloor Elevation Along the Florida Reef Tract From Port St. Lucie to Marquesas Key, Florida-50 Years From 2001 Based on Historical Rates of Mean Elevation Change"},{"id":438317,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98NDNB4","text":"USGS data release","linkHelpText":"Projected Seafloor Elevation Along the Florida Reef Tract From Port St. Lucie to Marquesas Key, Florida-25 Years From 2001 Based on Historical Rates of Mean Elevation Change "},{"id":438316,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AZVU1E","text":"USGS data release","linkHelpText":"Projected Seafloor Elevation Along the Florida Reef Tract From Port St. Lucie to Marquesas Key, Florida-75 Years From 2001 Based on Historical Rates of Mean Elevation Change"},{"id":438315,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JMC8CX","text":"USGS data release","linkHelpText":"Projected Seafloor Elevation Along the Florida Reef Tract From Deerfield Beach to Homestead, Florida-50 Years From 2014 Based on Historical Rates of Mean Erosion "},{"id":438314,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FNHR4Z","text":"USGS data release","linkHelpText":"Projected Seafloor Elevation Along the Florida Reef Tract From Deerfield Beach to Homestead, Florida-25 Years From 2014 Based on Historical Rates of Mean Erosion"},{"id":438313,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93NZA95","text":"USGS data release","linkHelpText":"Projected Seafloor Elevation Along the Florida Reef Tract From Deerfield Beach to Homestead, Florida-100 Years From 2014 Based on Historical Rates of Mean Erosion "},{"id":438312,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DMITW8","text":"USGS data release","linkHelpText":"Projected Seafloor Elevation Along the Florida Reef Tract From Deerfield Beach to Homestead, Florida-75 Years From 2014 Based on Historical Rates of Mean Erosion "},{"id":438311,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UTAE37","text":"USGS data release","linkHelpText":"Projected Seafloor Elevation Along the Florida Reef Tract From Deerfield Beach to Homestead, Florida-25 Years From 2014 Based on Historical Rates of Mean Elevation Change"},{"id":438310,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CI9LNH","text":"USGS data release","linkHelpText":"Projected Seafloor Elevation Change in the Upper Florida Keys 25, 50, 75 and 100 Years from 2002"},{"id":341975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343319,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5194/bg-14-1739-2017","text":"Seafloor elevation change in Maui, St. Croix, St. Thomas, and the Florida Keys"}],"volume":"14","issue":"1-15","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-20","publicationStatus":"PW","scienceBaseUri":"593127aee4b0e9bd0ea9eefa","contributors":{"authors":[{"text":"Yates, Kimberly K. 0000-0001-8764-0358 kyates@usgs.gov","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":420,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"kyates@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":696865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":1898,"corporation":false,"usgs":true,"family":"Zawada","given":"David G.","email":"dzawada@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":696866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smiley, Nathan A. 0000-0002-5190-6860 nsmiley@usgs.gov","orcid":"https://orcid.org/0000-0002-5190-6860","contributorId":3907,"corporation":false,"usgs":true,"family":"Smiley","given":"Nathan A.","email":"nsmiley@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":696867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tiling-Range, Ginger","contributorId":11914,"corporation":false,"usgs":true,"family":"Tiling-Range","given":"Ginger","affiliations":[],"preferred":false,"id":696868,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188879,"text":"70188879 - 2017 - Assessing changes in the physico-chemical properties and fluoride adsorption capacity of activated alumina under varied conditions","interactions":[],"lastModifiedDate":"2017-06-27T09:49:15","indexId":"70188879","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Assessing changes in the physico-chemical properties and fluoride adsorption capacity of activated alumina under varied conditions","docAbstract":"<div class=\"abstract svAbstract \" data-etype=\"ab\"><p id=\"abspara0010\">Adsorption using activated alumina is a simple method for removing fluoride from drinking water, but to be cost effective the adsorption capacity must be high and effective long-term. The intent of this study was to assess changes in its adsorption capacity under varied conditions. This was determined by evaluating the physico-chemical properties, surface charge, and fluoride (F<sup>−</sup>) adsorption capacity and rate of activated alumina under conditions such as hydration period, particle size, and slow vs. fast titrations. X-ray diffraction and scanning electron microscopy analyses show that the mineralogy of activated alumina transformed to boehmite, then bayerite with hydration period and a corresponding reduction in adsorption capacity was expected; while surface area analyses show no notable changes with hydration period or particle size. The pH dependent surface charge was three times higher using slow potentiometric titrations as compared to fast titrations (due largely to diffusion into pore space), with the surface acidity generally unaffected by hydration period. Results from batch adsorption experiments similarly show no change in fluoride adsorption capacity with hydration period. There was also no notable difference in fluoride adsorption capacity between the particle size ranges of 0.5–1.0&nbsp;mm and 0.125–0.250&nbsp;mm, or with hydration period. However, adsorption rate increased dramatically with the finer particle sizes: at an initial F<sup>−</sup> concentration of 0.53&nbsp;mmol&nbsp;L<sup>−1</sup> (10&nbsp;mg&nbsp;L<sup>−1</sup>), 90% was adsorbed in the 0.125–0.250&nbsp;mm range after 1&nbsp;h, while the 0.5–1.0&nbsp;mm range required 24&nbsp;h to achieve 90% adsorption. Also, the pseudo-second-order adsorption rate constants for the finer vs. larger particle sizes were 3.7 and 0.5&nbsp;g per mmol F<sup>−</sup> per min respectively (24&nbsp;h); and the initial intraparticle diffusion rate of the former was 2.6 times faster than the latter. The results show that adsorption capacity of activated alumina remains consistent and high under the conditions evaluated in this study, but in order to increase adsorption rate, a relatively fine particle size is recommended.</p></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2016.11.011","usgsCitation":"Craig, L., Stillings, L.L., and Decker, D.L., 2017, Assessing changes in the physico-chemical properties and fluoride adsorption capacity of activated alumina under varied conditions: Applied Geochemistry, v. 76, p. 112-123, https://doi.org/10.1016/j.apgeochem.2016.11.011.","productDescription":"12 p.","startPage":"112","endPage":"123","ipdsId":"IP-066799","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536ea7e4b062508e3c7a6b","contributors":{"authors":[{"text":"Craig, Laura","contributorId":173675,"corporation":false,"usgs":false,"family":"Craig","given":"Laura","affiliations":[{"id":27270,"text":"American Rivers","active":true,"usgs":false}],"preferred":false,"id":700796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stillings, Lisa L. 0000-0002-9011-8891 stilling@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-8891","contributorId":193548,"corporation":false,"usgs":true,"family":"Stillings","given":"Lisa","email":"stilling@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Decker, David L.","contributorId":193549,"corporation":false,"usgs":false,"family":"Decker","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":700797,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188140,"text":"70188140 - 2017 - Historical patterns of acidification and increasing CO2 flux associated with Florida springs","interactions":[],"lastModifiedDate":"2017-11-29T16:39:08","indexId":"70188140","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Historical patterns of acidification and increasing CO<sub>2</sub> flux associated with Florida springs","title":"Historical patterns of acidification and increasing CO2 flux associated with Florida springs","docAbstract":"<p><span>Florida has one of the highest concentrations of springs in the world, with many discharging into rivers and predominantly into eastern Gulf of Mexico coast, and they likely influence the hydrochemistry of these adjacent waters; however, temporal and spatial trends have not been well studied. We present over 20 yr of hydrochemical, seasonally sampled data to identify temporal and spatial trends of pH, alkalinity, partial pressure of carbon dioxide (pCO</span><sub>2</sub><span>), and CO</span><sub>2</sub><span>flux from five first-order-magnitude (springs that discharge greater than 2.83 m</span><sup>3</sup><span> s</span><sup>−1</sup><span>) coastal spring groups fed by the Floridan Aquifer System that ultimately discharge into the Gulf of Mexico. All spring groups had pCO</span><sub>2</sub><span> levels (averages 3174.3–6773.2 μatm) that were much higher than atmospheric levels of CO</span><sub>2</sub><span> and demonstrated statistically significant temporal decreases in pH and increases in CO</span><sub>2</sub><span> flux, pCO</span><sub>2</sub><span>, and alkalinity. Total carbon flux emissions increased from each of the spring groups by between 3.48 × 10</span><sup>7</sup><span> and 2.856 × 10</span><sup>8</sup><span> kg C yr</span><sup>−1</sup><span> over the time period. By 2013 the Springs Groups in total emitted more than 1.1739 × 10</span><sup>9</sup><span> kg C yr</span><sup>−1</sup><span>. Increases in alkalinity and pCO</span><sub>2</sub><span> varied from 90.9 to 347.6 μmol kg</span><sup>−1</sup><span> and 1262.3 to 2666.7 μatm, respectively. Coastal data show higher CO</span><sub>2</sub><span> evasion than the open Gulf of Mexico, which suggests spring water influences nearshore waters. The results of this study have important implications for spring water quality, dissolution of the Florida carbonate platform, and identification of the effect and partitioning of carbon fluxes to and within coastal and marine ecosystems.</span></p>","language":"English","publisher":"ASLO","doi":"10.1002/lno.10573","usgsCitation":"Barrera, K.E., and Robbins, L.L., 2017, Historical patterns of acidification and increasing CO2 flux associated with Florida springs: Limnology and Oceanography, v. 62, no. 6, p. 2404-2417, https://doi.org/10.1002/lno.10573.","productDescription":"14 p.","startPage":"2404","endPage":"2417","ipdsId":"IP-073748","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469783,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.10573","text":"Publisher Index Page"},{"id":341976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.75,\n              28.5\n            ],\n            [\n              -82.25,\n              28.5\n            ],\n            [\n              -82.25,\n              29.1\n            ],\n            [\n              -82.75,\n              29.1\n            ],\n            [\n              -82.75,\n              28.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"62","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-21","publicationStatus":"PW","scienceBaseUri":"593127afe4b0e9bd0ea9ef03","contributors":{"authors":[{"text":"Barrera, Kira E. 0000-0002-2807-4795 kbarrera@usgs.gov","orcid":"https://orcid.org/0000-0002-2807-4795","contributorId":4910,"corporation":false,"usgs":true,"family":"Barrera","given":"Kira","email":"kbarrera@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":696864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":696863,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191688,"text":"70191688 - 2017 - Evaluating species-specific changes in hydrologic regimes: an iterative approach for salmonids in the Greater Yellowstone Area (USA)","interactions":[],"lastModifiedDate":"2017-10-24T13:44:30","indexId":"70191688","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating species-specific changes in hydrologic regimes: an iterative approach for salmonids in the Greater Yellowstone Area (USA)","docAbstract":"<p><span>Despite the importance of hydrologic regimes to the phenology, demography, and abundance of fishes such as salmonids, there have been surprisingly few syntheses that holistically assess regional, species-specific trends in hydrologic regimes within a framework of climate change. Here, we consider hydrologic regimes within the Greater Yellowstone Area in the Rocky Mountains of western North America to evaluate changes in hydrologic metrics anticipated to affect salmonids, a group of fishes with high regional ecological and socioeconomic value. Our analyses assessed trends across different sites and time periods (1930–, 1950–, and 1970–2015) as means to evaluate spatial and temporal shifts. Consistent patterns emerged from our analyses indicating substantial shifts to (1) earlier peak discharge events; (2) reductions of summer minimum streamflows; (3) declines in the duration of river ice; and (4) decreases in total volume of water. We found accelerated trends in hydrologic change for the 1970–2015 period, with an average peak discharge 7.5&nbsp;days earlier, 27.5% decline in summer minimum streamflows, and a 15.6% decline in the annual total volume of water (1 October–September 30) across sites. We did observe considerable variability in magnitude of change across sites, suggesting different levels of vulnerability to a changing climate. Our analyses provide an iterative means for assessing climate predictions and an important step in identifying the climate resilience of landscapes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11160-017-9472-3","usgsCitation":"Al-Chokhachy, R.K., Sepulveda, A.J., Ray, A.M., Thoma, D.P., and Tercek, M.T., 2017, Evaluating species-specific changes in hydrologic regimes: an iterative approach for salmonids in the Greater Yellowstone Area (USA): Reviews in Fish Biology and Fisheries, v. 27, no. 2, p. 425-441, https://doi.org/10.1007/s11160-017-9472-3.","productDescription":"17 p.","startPage":"425","endPage":"441","ipdsId":"IP-079638","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":347243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Greater Yellowstone Area","volume":"27","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-17","publicationStatus":"PW","scienceBaseUri":"59f05122e4b0220bbd9a1d94","contributors":{"authors":[{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":713063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":713064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ray, Andrew M.","contributorId":167601,"corporation":false,"usgs":false,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":713065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thoma, David P.","contributorId":197256,"corporation":false,"usgs":false,"family":"Thoma","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":713066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tercek, Michael T.","contributorId":197257,"corporation":false,"usgs":false,"family":"Tercek","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":713067,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70187214,"text":"sir20175035 - 2017 - Nutrient and sediment concentrations and loads in the Steele Bayou Basin, northwestern Mississippi, 2010–14","interactions":[],"lastModifiedDate":"2017-06-01T10:56:06","indexId":"sir20175035","displayToPublicDate":"2017-06-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5035","title":"Nutrient and sediment concentrations and loads in the Steele Bayou Basin, northwestern Mississippi, 2010–14","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers-Vicksburg District, monitored streamflow, water quality, and sediment at two stations on the Steele Bayou in northwestern Mississippi from October 2010 through September 2014 to characterize nutrient and sediment concentrations and loads in areas where substantial implementation of conservation efforts have been implemented. The motivation for this effort was to quantify improvements, or lack thereof, in water quality in the Steele Bayou watershed as a result of implementing large- and small-scale best-management practices aimed at reducing nutrient and sediment concentrations and loads. The results of this study document the hydrologic, water-quality, and sedimentation status of these basins following over two decades of ongoing implementation of conservation practices.</p><p>Results from this study indicate the two Steele Bayou stations have comparable loads and yields of total nitrogen, phosphorus, and suspended sediment when compared to other agricultural basins in the southeastern and central United States. However, nitrate plus nitrite yields from basins in the Mississippi River alluvial plain, including the Steele Bayou Basin, are generally lower than other agricultural basins in the southeastern and central United States.</p><p>Seasonal variation in nutrient and sediment loads was observed at both stations and for most constituents. About 50 percent of the total annual nutrient and sediment load was observed during the spring (February through May) and between 25 and 50 percent was observed during late fall and winter (October through January). These seasonal patterns probably reflect a combination of seasonal patterns in precipitation, runoff, streamflow, and in the timing of fertilizer application.</p><p>Median concentrations of total nitrogen, nitrate plus nitrite, total phosphorus, orthophosphate, and suspended sediment were slightly higher at the upstream station, Steele Bayou near Glen Allan, than at the downstream station, Steele Bayou at Grace Road at Hopedale, MS, although the differences typically were not statistically significant. Mean annual loads of nitrate plus nitrite and suspended sediment were also larger at the upstream station, although the annual loads at both stations were generally within the 95-percent confidence intervals of each other.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175035","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Vicksburg District","usgsCitation":"Hicks, M.B., Murphy, J.C., and Stocks, S.J., 2017, Nutrient and sediment concentrations and loads in the Steele Bayou Basin, northwestern Mississippi, 2010–14: U.S. Geological Survey Scientific Investigations Report 2017–5035, 32 p., https://doi.org/10.3133/sir20175035.","productDescription":"viii, 32 p.","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-072526","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":341906,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5035/sir20175035.pdf","text":"Report","size":"1.96 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5035"},{"id":341905,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5035/coverthb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Steele Bayou Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.25,\n              32.4\n            ],\n            [\n              -90.6,\n              32.4\n            ],\n            [\n              -90.6,\n              33.7\n            ],\n            [\n              -91.25,\n              33.7\n            ],\n            [\n              -91.25,\n              32.4\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/lmg-water\" data-mce-href=\"https://www.usgs.gov/centers/lmg-water\">Lower Mississippi Gulf Water Science Center</a><br>U.S. Geological Survey<br>308 Airport Rd. <br>Jackson MS 39208<br></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods of Data Collection<br></li><li>Statistical Comparison of Data Sets and Calculation of Nutrient and Sediment Loads<br></li><li>Hydrologic Conditions<br></li><li>Concentrations and Estimated Loads and Yields of Nutrients and Sediment<br></li><li>Comparison of Nitrogen and Phosphorus Concentrations, Loads, and Yields to Historical Data, Other Agricultural Basins, and SPARROW Model Estimates<br></li><li>Summary and Conclusions<br></li><li>Acknowledgments<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2017-06-01","noUsgsAuthors":false,"publicationDate":"2017-06-01","publicationStatus":"PW","scienceBaseUri":"593127b0e4b0e9bd0ea9ef0f","contributors":{"authors":[{"text":"Hicks, Matthew B. 0000-0001-5516-0296 mhicks@usgs.gov","orcid":"https://orcid.org/0000-0001-5516-0296","contributorId":3778,"corporation":false,"usgs":true,"family":"Hicks","given":"Matthew","email":"mhicks@usgs.gov","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":693067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":139729,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer C.","email":"jmurphy@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":693068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stocks, Shane J. 0000-0003-1711-3071 sjstocks@usgs.gov","orcid":"https://orcid.org/0000-0003-1711-3071","contributorId":3811,"corporation":false,"usgs":true,"family":"Stocks","given":"Shane","email":"sjstocks@usgs.gov","middleInitial":"J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":693069,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188085,"text":"70188085 - 2017 - Potential for water borne and invertebrate transmission of West Nile virus in the Great Salt Lake, Utah","interactions":[],"lastModifiedDate":"2017-07-10T14:48:40","indexId":"70188085","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Potential for water borne and invertebrate transmission of West Nile virus in the Great Salt Lake, Utah","docAbstract":"<p><span>In November and December of 2013, a large mortality event involving 15,000 - 20,000 eared grebes (</span><i>Podiceps nigricollis</i><span>) occurred at the Great Salt Lake (GSL), UT. The onset of the outbreak in grebes was followed by a mortality event in &gt; 86 bald eagles (</span><i>Haliaeetus leucocephalus</i><span>). During the die-off, West Nile virus (WNV) was detected by RT-PCR or viral culture in carcasses of grebes and eagles submitted to the National Wildlife Health Center. However, no mosquito activity, the primary vector of WNV, was detected by the State of Utah's WNV monitoring program. Transmission of WNV has rarely been reported during the winter in North America in the absence of known mosquito activity; however, the size of this die-off, the habitat in which it occurred, and the species involved are unique. We experimentally investigated whether WNV could survive in water with a high saline content, as found at the GSL, and whether brine shrimp, the primary food of migrating eared grebes on the GSL, could have played a role in transmission of WNV to feeding birds. We found that WNV can survive up to 72 h at 4°C in water containing 30 — 150 ppt NaCl and brine shrimp, incubated with WNV in 30 ppt NaCl, may adsorb WNV to their cuticle and, through feeding, may infect epithelial cells of their gut. Both mechanisms may have potentiated the WNV die-off in migrating eared grebes on the GSL.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/AEM.00705-17","usgsCitation":"Lund, M., Shearn-Bochsler, V.I., Dusek, R.J., Shivers, J., and Hofmeister, E.K., 2017, Potential for water borne and invertebrate transmission of West Nile virus in the Great Salt Lake, Utah: Applied and Environmental Microbiology, v. 83, no. 14, e00705-17, https://doi.org/10.1128/AEM.00705-17.","productDescription":"e00705-17","ipdsId":"IP-085737","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461541,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/aem.00705-17","text":"Publisher Index Page"},{"id":341939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.15917968749999,\n              40.65147128144057\n            ],\n            [\n              -111.89300537109375,\n              40.65147128144057\n            ],\n            [\n              -111.89300537109375,\n              41.70982942509964\n            ],\n            [\n              -113.15917968749999,\n              41.70982942509964\n            ],\n            [\n              -113.15917968749999,\n              40.65147128144057\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"83","issue":"14","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592fd639e4b0e9bd0ea896cf","contributors":{"authors":[{"text":"Lund, Melissa 0000-0003-4577-2015 mlund@usgs.gov","orcid":"https://orcid.org/0000-0003-4577-2015","contributorId":177923,"corporation":false,"usgs":true,"family":"Lund","given":"Melissa","email":"mlund@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696617,"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":696618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shivers, Jan","contributorId":192487,"corporation":false,"usgs":false,"family":"Shivers","given":"Jan","email":"","affiliations":[],"preferred":false,"id":696619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696615,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70187979,"text":"ofr20171063 - 2017 - Water temperature effects from simulated changes to dam operations and structures in the Middle and South Santiam Rivers, Oregon","interactions":[],"lastModifiedDate":"2017-06-01T09:42:00","indexId":"ofr20171063","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1063","title":"Water temperature effects from simulated changes to dam operations and structures in the Middle and South Santiam Rivers, Oregon","docAbstract":"<p class=\"p1\">Green Peter and Foster Dams on the Middle and South Santiam Rivers, Oregon, have altered the annual downstream water temperature profile (cycle). Operation of the dams has resulted in cooler summer releases and warmer autumn releases relative to pre-dam conditions, and that alteration can hinder recovery of various life stages of threatened spring-run Chinook salmon (<i>Oncorhyncus tshawytscha</i>) and winter steelhead (<i>O. mykiss</i>). Lake level management and the use of multiple outlets from varying depths at the dams can enable the maintenance of a temperature regime more closely resembling that in which the fish evolved by releasing warm surface water during summer and cooler, deeper water in the autumn. At Green Peter and Foster Dams, the outlet configuration is such that temperature control is often limited by hydropower production at the dams. Previously calibrated CE-QUAL-W2 water temperature models of Green Peter and Foster Lakes were used to simulate the downstream thermal effects from hypothetical structures and modified operations at the dams. Scenarios with no minimum power production requirements allowed some releases through shallower and deeper outlets (summer and autumn) to achieve better temperature control throughout the year and less year-to-year variability in autumn release temperatures. Scenarios including a hypothetical outlet floating 1 meter below the lake surface resulted in greater ability to release warm water during summer compared to existing structures. Later in Autumn (October 15–December 31), a limited amount of temperature control was realized downstream from Foster Dam by scenarios limited to operational changes with existing structures, resulting in 15-day averages within 1.0 degree Celsius of current operations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171063","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Portland District","usgsCitation":"Buccola, N.L., 2017, Water temperature effects from simulated changes to dam operations and structures in the Middle and South Santiam Rivers, Oregon: U.S. Geological Survey Open-File Report 2017–1063, 19 p., https://doi.org/10.3133/ofr20171063.","productDescription":"vi, 19 p.","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-075753","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":341901,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1063/coverthb.jpg"},{"id":341902,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1063/ofr20171063.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1063"}],"country":"United States","state":"Oregon","otherGeospatial":"Santiam River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.01940917968751,\n              44.213709909702054\n            ],\n            [\n              -121.90979003906249,\n              44.213709909702054\n            ],\n            [\n              -121.90979003906249,\n              44.914249368747086\n            ],\n            [\n              -123.01940917968751,\n              44.914249368747086\n            ],\n            [\n              -123.01940917968751,\n              44.213709909702054\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"http://or.water.usgs.gov/\" target=\"blank\" data-mce-href=\"http://or.water.usgs.gov\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Purpose and Scope<br></li><li>Study Area<br></li><li>Methods and Data<br></li><li>Results and Discussion<br></li><li>Summary and Conclusions<br></li><li>Acknowledgments<br></li><li>Supplemental Materials<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-05-31","noUsgsAuthors":false,"publicationDate":"2017-05-31","publicationStatus":"PW","scienceBaseUri":"592fd63ae4b0e9bd0ea896dd","contributors":{"authors":[{"text":"Buccola, Norman L. nbuccola@usgs.gov","contributorId":4295,"corporation":false,"usgs":true,"family":"Buccola","given":"Norman L.","email":"nbuccola@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":696143,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70185018,"text":"sir20175020 - 2017 - Hydrogeologic framework and selected components of the groundwater budget for the upper Umatilla River Basin, Oregon","interactions":[],"lastModifiedDate":"2017-06-01T08:28:44","indexId":"sir20175020","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5020","title":"Hydrogeologic framework and selected components of the groundwater budget for the upper Umatilla River Basin, Oregon","docAbstract":"<h1>Executive Summary</h1><p>This report presents a summary of the hydrogeology of the upper Umatilla River Basin, Oregon, based on characterization of the hydrogeologic framework, horizontal and vertical directions of groundwater flow, trends in groundwater levels, and components of the groundwater budget. The conceptual model of the groundwater flow system integrates available data and information on the groundwater resources of the upper Umatilla River Basin and provides insights regarding key hydrologic processes, such as the interaction between the groundwater and surface water systems and the hydrologic budget.</p><p>The conceptual groundwater model developed for the study area divides the groundwater flow system into five hydrogeologic units: a sedimentary unit, three Columbia River basalt units, and a basement rock unit. The sedimentary unit, which is not widely used as a source of groundwater in the upper basin, is present primarily in the lowlands and consists of conglomerate, loess, silt and sand deposits, and recent alluvium. The Columbia River Basalt Group is a series of Miocene flood basalts that are present throughout the study area. The basalt is uplifted in the southeastern half of the study area, and either underlies the sedimentary unit, or is exposed at the surface. The interflow zones of the flood basalts are the primary aquifers in the study area. Beneath the flood basalts are basement rocks composed of Paleogene to Pre-Tertiary sedimentary, volcanic, igneous, and metamorphic rocks that are not used as a source of groundwater in the upper Umatilla River Basin.</p><p>The major components of the groundwater budget in the upper Umatilla River Basin are (1) groundwater recharge, (2) groundwater discharge to surface water and wells, (3) subsurface flow into and out of the basin, and (4) changes in groundwater storage.</p><p>Recharge from precipitation occurs primarily in the upland areas of the Blue Mountains. Mean annual recharge from infiltration of precipitation for the upper Umatilla River Basin during 1951–2010 is about 9.6 inches per year (in/yr). Annual recharge from precipitation for water year 2010 ranged from 3 in. in the lowland area to about 30 in. in the Blue Mountains. Using Kahle and others (2011) data and methods from the Columbia Plateau regional model, average annual recharge from irrigation is estimated to be about 2.2 in/yr for the 13 square miles of irrigated land in the upper Umatilla River Basin.</p><p>Groundwater discharges to streams throughout the year and is a large component of annual streamflow in the upper Umatilla River Basin. Upward vertical hydraulic gradients near the Umatilla River indicate the potential for groundwater discharge. Groundwater discharge to the Umatilla River generally occurs in the upper part of the basin, upstream from the main stem.</p><p>Groundwater development in the upper Umatilla River Basin began sometime after 1950 (Davies-Smith and others, 1988; Gonthier and Bolke, 1991). By water year 2010, groundwater use in the upper Umatilla River Basin was approximately 11,214 acre-feet (acre-ft). Total groundwater withdrawals for the study area were estimated at 7,575 acre-ft for irrigation, 3,173 acre-ft for municipal use, and 466 acre-ft for domestic use.</p><p>Total groundwater flow into or from the study area depends locally on geology and hydraulic head distribution. Estimates of subsurface flow were calculated using the U.S. Geological Survey Columbia Plateau regional groundwater flow model. Net flux values range from 25,000 to 27,700 acre-ft per year and indicate that groundwater is moving out of the upper Umatilla River Basin into the lower Umatilla River Basin.</p><p>Water level changes depend on storage changes within an aquifer, and storage changes depend on the storage properties of the aquifer, as well as recharge to or discharge from the aquifer. Groundwater level data in the upper Umatilla River Basin are mostly available from wells in Columbia River basalt units, which indicate areas of long-term water level declines in the Grande Ronde basalt unit near Pendleton and Athena, Oregon. Groundwater levels in the Wanapum basalt unit do not show long-term declines in the upper Umatilla River Basin. Because of pumping, some areas in the upper Umatilla River Basin have shown a decrease, or reversal, in the upward vertical head gradient.</p><p>Key data needs are improvement of the spatial and temporal distribution of water-level data collection and continued monitoring of streamflow gaging sites. Additionally, refinement of recharge estimates would enhance understanding of the processes that provide the groundwater resources in the upper Umatilla River Basin.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175020","collaboration":"Prepared in cooperation with Confederated Tribes of the Umatilla Indian Reservation","usgsCitation":"Herrera, N.B., Ely, Kate, Mehta, Smita, Stonewall, A.J., Risley, J.C., Hinkle, S.R., and Conlon, T.D., 2017, Hydrogeologic framework and selected components of the groundwater budget for the upper Umatilla River Basin, Oregon: U.S. Geological Survey Scientific Investigations Report 2017–5020, 57 p., https://doi.org/10.3133/sir20175020.","productDescription":"vi, 57 p.","onlineOnly":"Y","ipdsId":"IP-049734","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":341899,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5020/coverthb.jpg"},{"id":341900,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5020/sir20175020.pdf","text":"Report","size":"16.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5020"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Umatilla River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.9,\n              45.35\n            ],\n            [\n              -118,\n              45.35\n            ],\n            [\n              -118,\n              45.93\n            ],\n            [\n              -118.9,\n              45.93\n            ],\n            [\n              -118.9,\n              45.35\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"http://or.water.usgs.gov\" target=\"blank\" data-mce-href=\"http://or.water.usgs.gov\">Oregon Water Science Center</a><br> U.S. Geological Survey<br> 2130 SW 5th Avenue<br> Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Hydrogeologic Framewor</li><li>Groundwater Elevations and Flow Directions</li><li>Trends in Groundwater Levels</li><li>Groundwater Budget</li><li>Data Needs</li><li>Acknowledgments</li><li>References Cited</li><li>Appendixes A–C</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2017-05-31","noUsgsAuthors":false,"publicationDate":"2017-05-31","publicationStatus":"PW","scienceBaseUri":"592fd63be4b0e9bd0ea896e3","contributors":{"authors":[{"text":"Herrera, Nora B. 0000-0002-7744-5206","orcid":"https://orcid.org/0000-0002-7744-5206","contributorId":37666,"corporation":false,"usgs":true,"family":"Herrera","given":"Nora","email":"","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":683967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ely, Kate","contributorId":192464,"corporation":false,"usgs":false,"family":"Ely","given":"Kate","affiliations":[{"id":13345,"text":"Confederated Tribes of the Umatilla Indian Reservation","active":true,"usgs":false}],"preferred":false,"id":696582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mehta, Smita","contributorId":192465,"corporation":false,"usgs":true,"family":"Mehta","given":"Smita","email":"","affiliations":[],"preferred":false,"id":696583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stonewall, Adam J. 0000-0002-3277-8736 stonewal@usgs.gov","orcid":"https://orcid.org/0000-0002-3277-8736","contributorId":138801,"corporation":false,"usgs":true,"family":"Stonewall","given":"Adam","email":"stonewal@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":696584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Risley, John C. 0000-0002-8206-5443 jrisley@usgs.gov","orcid":"https://orcid.org/0000-0002-8206-5443","contributorId":2698,"corporation":false,"usgs":true,"family":"Risley","given":"John","email":"jrisley@usgs.gov","middleInitial":"C.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":696585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hinkle, Stephen R. srhinkle@usgs.gov","contributorId":1171,"corporation":false,"usgs":true,"family":"Hinkle","given":"Stephen","email":"srhinkle@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":696586,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conlon, Terrence D. 0000-0002-5899-7187 tdconlon@usgs.gov","orcid":"https://orcid.org/0000-0002-5899-7187","contributorId":819,"corporation":false,"usgs":true,"family":"Conlon","given":"Terrence","email":"tdconlon@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":696587,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70188108,"text":"70188108 - 2017 - Seasonal and diel environmental conditions predict western pond turtle (Emys marmorata) behavior at a perennial and an ephemeral stream in Sequoia National Park, California","interactions":[],"lastModifiedDate":"2017-06-14T11:58:12","indexId":"70188108","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1210,"text":"Chelonian Conservation and Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Seasonal and diel environmental conditions predict western pond turtle (<i>Emys marmorata</i>) behavior at a perennial and an ephemeral stream in Sequoia National Park, California","title":"Seasonal and diel environmental conditions predict western pond turtle (Emys marmorata) behavior at a perennial and an ephemeral stream in Sequoia National Park, California","docAbstract":"<p><span>Managers making decisions may benefit from a well-informed understanding of a species' population size and trends. Given the cryptic nature and habitat characteristics of the western pond turtle (</span><i><i>Emys marmorata</i></i><span>), however, imperfect detection may be high and population estimates are frequently varied and unreliable. As a case study to investigate this issue, we used temperature dataloggers to examine turtle behavior at 2 long-term monitoring sites with different hydrological characteristics in Sequoia National Park, California, to determine if common stream-survey techniques are consistent with site-specific turtle behavior. Sycamore Creek is an intermittent stream that dries up every summer while the North Fork Kaweah River flows year-round. We found that while turtles spent most of the recorded time in the water (55% in Sycamore Creek and 82% in the North Fork Kaweah River), the timing of traditional surveys only coincided with the turtles' aquatic activity in the North Fork Kaweah River. At Sycamore Creek, turtles were most likely to be in the water at night. In contrast, failure to detect turtles in North Fork Kaweah River is likely owing to the larger size and complexity of the underwater habitat. In both streams, turtles were also more likely to be in the water in the weeks leading up to important changes in hydroperiods. Our findings illustrate the effects that differences in water permanence can have on turtle behavior within the same watershed and how phenotypic plasticity may then affect detection during surveys. Our study highlights the importance of tailoring survey practices to the site-specific behavioral traits of the target species.</span></p>","language":"English","publisher":"Chelonian Research Foundation","doi":"10.2744/CCB-1240.1","usgsCitation":"Ruso, G., Meyer, E., and Das, A., 2017, Seasonal and diel environmental conditions predict western pond turtle (Emys marmorata) behavior at a perennial and an ephemeral stream in Sequoia National Park, California: Chelonian Conservation and Biology, v. 16, no. 1, p. 20-28, https://doi.org/10.2744/CCB-1240.1.","productDescription":"9 p.","startPage":"20","endPage":"28","ipdsId":"IP-082015","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":495027,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2744/ccb-1240.1","text":"Publisher Index Page"},{"id":341947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sequoia National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.69010925292969,\n              36.41078375301565\n            ],\n            [\n              -118.4271240234375,\n              36.41078375301565\n            ],\n            [\n              -118.4271240234375,\n              36.563151553545985\n            ],\n            [\n              -118.69010925292969,\n              36.563151553545985\n            ],\n            [\n              -118.69010925292969,\n              36.41078375301565\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592fd633e4b0e9bd0ea896a1","contributors":{"authors":[{"text":"Ruso, Gabrielle gruso@usgs.gov","contributorId":192549,"corporation":false,"usgs":true,"family":"Ruso","given":"Gabrielle","email":"gruso@usgs.gov","affiliations":[],"preferred":true,"id":696773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Erik","contributorId":192550,"corporation":false,"usgs":false,"family":"Meyer","given":"Erik","email":"","affiliations":[],"preferred":false,"id":696774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":696772,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187532,"text":"ofr20171054 - 2017 - Cyanobacteria of the 2016 Lake Okeechobee and Okeechobee Waterway harmful algal bloom","interactions":[],"lastModifiedDate":"2017-09-19T14:49:06","indexId":"ofr20171054","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1054","title":"Cyanobacteria of the 2016 Lake Okeechobee and Okeechobee Waterway harmful algal bloom","docAbstract":"<p>The Lake Okeechobee and the Okeechobee Waterway (Lake Okeechobee, the St. Lucie Canal and River, and the Caloosahatchee River) experienced an extensive harmful algal bloom within Lake Okeechobee, the St. Lucie Canal and River and the Caloosahatchee River in 2016. In addition to the very visible bloom of the cyanobacterium <i>Microcystis aeruginosa</i>, several other cyanobacteria were present. These other species were less conspicuous; however, they have the potential to produce a variety of cyanotoxins, including anatoxins, cylindrospermopsins, and saxitoxins, in addition to the microcystins commonly associated with Microcystis. Some of these species were found before, during, and 2 weeks after the large <i>Microcystis</i> bloom and could provide a better understanding of bloom dynamics and succession. This report provides photographic documentation and taxonomic assessment of the cyanobacteria present from Lake Okeechobee and the Caloosahatchee River and St. Lucie Canal, with samples collected June 1st from the Caloosahatchee River and Lake Okeechobee and in July from the St. Lucie Canal. The majority of the images were of live organisms, allowing their natural complement of pigmentation to be captured. The report provides a digital image-based taxonomic record of the Lake Okeechobee and the Okeechobee Waterway microscopic flora. It is anticipated that these images will facilitate current and future studies on this system, such as understanding the timing of cyanobacteria blooms and their potential toxin production.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171054","usgsCitation":"Rosen, B.H., Davis, T.W., Gobler, C.J., Kramer, B.J., and Loftin, K.A. , 2017, Cyanobacteria of the 2016 Lake Okeechobee Waterway harmful algal bloom: U.S. Geological Survey Open-File Report 2017–1054, 34 p., https://doi.org/10.3133/ofr20171054.","productDescription":"vi, 33 p.","onlineOnly":"Y","ipdsId":"IP-085731","costCenters":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"links":[{"id":341612,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1054/coverthb.jpg"},{"id":341613,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1054/ofr20171054.pdf","text":"Report","size":"1.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1054"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Okeechobee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.1837158203125,\n              27.291248399167404\n            ],\n            [\n              -80.26611328125,\n              27.301011379979172\n            ],\n            [\n              -80.364990234375,\n              27.279043466068245\n            ],\n          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          -81.49658203125,\n              26.66955020082152\n            ],\n            [\n              -81.3372802734375,\n              26.679367271566836\n            ],\n            [\n              -81.1834716796875,\n              26.711266913515747\n            ],\n            [\n              -81.02691650390625,\n              26.70881341200593\n            ],\n            [\n              -80.95550537109375,\n              26.66955020082152\n            ],\n            [\n              -80.79620361328125,\n              26.642548900196076\n            ],\n            [\n              -80.67535400390625,\n              26.681821407205977\n            ],\n            [\n              -80.57373046875,\n              26.78484736105119\n            ],\n            [\n              -80.52154541015625,\n              26.885330195427926\n            ],\n            [\n              -80.3485107421875,\n              26.941659545381516\n            ],\n            [\n              -80.20294189453125,\n              27.03711021444808\n            ],\n            [\n              -80.11505126953125,\n              27.17891247557853\n            ],\n            [\n              -80.1837158203125,\n              27.291248399167404\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Southeast Regional Director's Office<br>U.S. Geological Survey<br>12703 Research Parkway<br>Orlando, FL 32826<br><br></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Methods<br></li><li>Organisms<br></li><li>References<br></li></ul><p><br data-mce-bogus=\"1\"></p>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2017-05-31","noUsgsAuthors":false,"publicationDate":"2017-05-31","publicationStatus":"PW","scienceBaseUri":"592fd63be4b0e9bd0ea896e1","contributors":{"authors":[{"text":"Rosen, Barry H. 0000-0002-8016-3939 brosen@usgs.gov","orcid":"https://orcid.org/0000-0002-8016-3939","contributorId":2844,"corporation":false,"usgs":true,"family":"Rosen","given":"Barry","email":"brosen@usgs.gov","middleInitial":"H.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":694333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Timothy W.","contributorId":169289,"corporation":false,"usgs":false,"family":"Davis","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":6637,"text":"National Oceanic and Atmospheric Administration, Northwest Fisheries Science Center, 2725 Montlake Blvd E, Seattle, WA 98112","active":true,"usgs":false}],"preferred":false,"id":694334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gobler, Christopher J.","contributorId":127640,"corporation":false,"usgs":false,"family":"Gobler","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":7095,"text":"Professor, School of Marine & Atmospheric Sciences, Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":694335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kramer, Benjamin J.","contributorId":191813,"corporation":false,"usgs":false,"family":"Kramer","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":694336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":694337,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188028,"text":"70188028 - 2017 - Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data","interactions":[],"lastModifiedDate":"2017-08-03T08:35:21","indexId":"70188028","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2035,"text":"International Journal of Digital Earth","active":true,"publicationSubtype":{"id":10}},"title":"Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data","docAbstract":"<p><span>Mapping croplands, including fallow areas, are an important measure to determine the quantity of food that is produced, where they are produced, and when they are produced (e.g. seasonality). Furthermore, croplands are known as water guzzlers by consuming anywhere between 70% and 90% of all human water use globally. Given these facts and the increase in global population to nearly 10 billion by the year 2050, the need for routine, rapid, and automated cropland mapping year-after-year and/or season-after-season is of great importance. The overarching goal of this study was to generate standard and routine cropland products, year-after-year, over very large areas through the use of two novel methods: (a) quantitative spectral matching techniques (QSMTs) applied at continental level and (b) rule-based Automated Cropland Classification Algorithm (ACCA) with the ability to hind-cast, now-cast, and future-cast. Australia was chosen for the study given its extensive croplands, rich history of agriculture, and yet nonexistent routine yearly generated cropland products using multi-temporal remote sensing. This research produced three distinct cropland products using Moderate Resolution Imaging Spectroradiometer (MODIS) 250-m normalized difference vegetation index 16-day composite time-series data for 16 years: 2000 through 2015. The products consisted of: (1) cropland extent/areas versus cropland fallow areas, (2) irrigated versus rainfed croplands, and (3) cropping intensities: single, double, and continuous cropping. An accurate reference cropland product (RCP) for the year 2014 (RCP2014) produced using QSMT was used as a knowledge base to train and develop the ACCA algorithm that was then applied to the MODIS time-series data for the years 2000–2015. A comparison between the ACCA-derived cropland products (ACPs) for the year 2014 (ACP2014) versus RCP2014 provided an overall agreement of 89.4% (kappa = 0.814) with six classes: (a) producer’s accuracies varying between 72% and 90% and (b) user’s accuracies varying between 79% and 90%. ACPs for the individual years 2000–2013 and 2015 (ACP2000–ACP2013, ACP2015) showed very strong similarities with several other studies. The extent and vigor of the Australian croplands versus cropland fallows were accurately captured by the ACCA algorithm for the years 2000–2015, thus highlighting the value of the study in food security analysis. The ACCA algorithm and the cropland products are released through </span><a href=\"http://croplands.org/app/map\" target=\"_blank\" data-mce-href=\"http://croplands.org/app/map\">http://croplands.org/app/map</a><span> and </span><a href=\"http://geography.wr.usgs.gov/science/croplands/algorithms/australia_250m.html\" target=\"_blank\" data-mce-href=\"http://geography.wr.usgs.gov/science/croplands/algorithms/australia_250m.html\">http://geography.wr.usgs.gov/science/croplands/algorithms/australia_250m.html</a></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/17538947.2016.1267269","usgsCitation":"Teluguntla, P.G., Thenkabail, P.S., Xiong, J., Gumma, M.K., Congalton, R.G., Oliphant, A., Poehnelt, J., Yadav, K., Rao, M.N., and Massey, R., 2017, Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data: International Journal of Digital Earth, v. 10, no. 9, p. 944-977, https://doi.org/10.1080/17538947.2016.1267269.","productDescription":"34 p.","startPage":"944","endPage":"977","ipdsId":"IP-074181","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469818,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/17538947.2016.1267269","text":"Publisher Index 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