Passer montanus became established in a small area of central North America following its introduction in 1870. P. montanus underwent minimal range expansion in the first 100 years following introduction. However, the North American population of P. montanus is now growing in size and expanding in geographic distribution, having expanded approximately 125 km to the north by 1970. We quantify the distance of spread by P. montanus from its introduction site in the greater St. Louis, Missouri-Illinois, USA area, using distributional (presence) data from the National Audubon Society Christmas Bird Count surveys for the period of 1951 to 2014. Linear regressions of the average annual range center of P. montanus confirmed significant shifts to the north at a rate of 3.3 km/year (P < 0.001) km/year. Linear regressions of the linear and angular distance of range center indicates significant northern movement (change in angle of mean range center; P < 0.001) since 1951. Our results quantify the extent of a northward range expansion, and suggesting a probable spread of this species northward.
","language":"English","publisher":"Springer","publisherLocation":"Berlin","doi":"10.1007/s10530-016-1273-4","usgsCitation":"Burnett, J., Roberts, C.P., Allen, C.R., Brown, M., and Moulton, M., 2017, Range expansion by Passer montanus in North America: Biological Invasions, v. 19, no. 1, p. 5-9, https://doi.org/10.1007/s10530-016-1273-4.","productDescription":"5 p.","startPage":"5","endPage":"9","ipdsId":"IP-079385","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":338254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"19","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-08","publicationStatus":"PW","scienceBaseUri":"58d63033e4b05ec7991310cf","contributors":{"authors":[{"text":"Burnett, J.L.","contributorId":189790,"corporation":false,"usgs":false,"family":"Burnett","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":686024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, C. P.","contributorId":189791,"corporation":false,"usgs":false,"family":"Roberts","given":"C.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":686025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":686023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, M.B.","contributorId":189792,"corporation":false,"usgs":false,"family":"Brown","given":"M.B.","email":"","affiliations":[],"preferred":false,"id":686026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moulton, M.P.","contributorId":189793,"corporation":false,"usgs":false,"family":"Moulton","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":686027,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70185604,"text":"70185604 - 2017 - Modeling nonbreeding distributions of shorebirds and waterfowl in response to climate change","interactions":[],"lastModifiedDate":"2017-03-24T13:34:54","indexId":"70185604","displayToPublicDate":"2017-03-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Modeling nonbreeding distributions of shorebirds and waterfowl in response to climate change","docAbstract":"To identify areas on the landscape that may contribute to a robust network of conservation areas, we modeled the probabilities of occurrence of several en route migratory shorebirds and wintering waterfowl in the southern Great Plains of North America, including responses to changing climate. We predominantly used data from the eBird citizen-science project to model probabilities of occurrence relative to land-use patterns, spatial distribution of wetlands, and climate. We projected models to potential future climate conditions using five representative general circulation models of the Coupled Model Intercomparison Project 5 (CMIP5). We used Random Forests to model probabilities of occurrence and compared the time periods 1981–2010 (hindcast) and 2041–2070 (forecast) in “model space.” Projected changes in shorebird probabilities of occurrence varied with species-specific general distribution pattern, migration distance, and spatial extent. Species using the western and northern portion of the study area exhibited the greatest likelihoods of decline, whereas species with more easterly occurrences, mostly long-distance migrants, had the greatest projected increases in probability of occurrence. At an ecoregional extent, differences in probabilities of shorebird occurrence ranged from −0.015 to 0.045 when averaged across climate models, with the largest increases occurring early in migration. Spatial shifts are predicted for several shorebird species. Probabilities of occurrence of wintering Mallards and Northern Pintail are predicted to increase by 0.046 and 0.061, respectively, with northward shifts projected for both species. When incorporated into partner land management decision tools, results at ecoregional extents can be used to identify wetland complexes with the greatest potential to support birds in the nonbreeding season under a wide range of future climate scenarios.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.2755","usgsCitation":"Reese, G.C., and Skagen, S., 2017, Modeling nonbreeding distributions of shorebirds and waterfowl in response to climate change: Ecology and Evolution, v. 7, no. 5, p. 1497-1513, https://doi.org/10.1002/ece3.2755.","productDescription":"17 p.","startPage":"1497","endPage":"1513","ipdsId":"IP-073714","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469993,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.2755","text":"Publisher Index Page"},{"id":338301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Plains Landscape Conservation Cooperative","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.01806640624999,\n 29.649868677972304\n ],\n [\n -95.47119140625,\n 29.649868677972304\n ],\n [\n -95.47119140625,\n 43.43696596521823\n ],\n [\n -106.01806640624999,\n 43.43696596521823\n ],\n [\n -106.01806640624999,\n 29.649868677972304\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-07","publicationStatus":"PW","scienceBaseUri":"58d63031e4b05ec7991310cb","chorus":{"doi":"10.1002/ece3.2755","url":"http://dx.doi.org/10.1002/ece3.2755","publisher":"Wiley-Blackwell","authors":"Reese Gordon C., Skagen Susan K.","journalName":"Ecology and Evolution","publicationDate":"2/7/2017","publiclyAccessibleDate":"2/7/2017"},"contributors":{"authors":[{"text":"Reese, Gordon C. 0000-0002-5191-7770 greese@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-7770","contributorId":189809,"corporation":false,"usgs":true,"family":"Reese","given":"Gordon","email":"greese@usgs.gov","middleInitial":"C.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":686087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skagen, Susan K. 0000-0002-6744-1244 skagens@usgs.gov","orcid":"https://orcid.org/0000-0002-6744-1244","contributorId":167829,"corporation":false,"usgs":true,"family":"Skagen","given":"Susan K.","email":"skagens@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":686088,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70184393,"text":"ds1042 - 2017 - Bull trout (Salvelinus confluentus) telemetry and associated habitat data collected in a geodatabase from the upper Boise River, southwestern Idaho","interactions":[],"lastModifiedDate":"2017-12-06T09:53:43","indexId":"ds1042","displayToPublicDate":"2017-03-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1042","title":"Bull trout (Salvelinus confluentus) telemetry and associated habitat data collected in a geodatabase from the upper Boise River, southwestern Idaho","docAbstract":"Bull trout (Salvelinus confluentus), listed as threatened under the Endangered Species Act, are among the more thermally sensitive of coldwater species in North America. The Boise River upstream of Arrowrock Dam in southwestern Idaho (including Arrowrock Reservoir) provides habitat for one of the southernmost populations of bull trout. The presence of the species in Arrowrock Reservoir poses implications for dam and reservoir operations. From 2011 to 2014, the Bureau of Reclamation and the U.S. Geological Survey collected fish telemetry data to improve understanding of bull trout distribution and movement in Arrowrock Reservoir and in the upper Boise River tributaries. The U.S. Geological Survey compiled the telemetry (fish location) data, along with reservoir elevation, river discharge, precipitation, and water-quality data in a geodatabase. The geodatabase includes metadata compliant with Federal Geographic Data Committee content standards. The Bureau of Reclamation plans to incorporate the data in a decision‑support tool for reservoir management.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1042","collaboration":"Prepared in cooperation with Bureau of Reclamation","usgsCitation":"MacCoy, D.E., Shephard, Z.M., Benjamin, J.R., Vidergar, D.T., and Prisciandaro, A.F., 2017, Bull trout (Salvelinus confluentus) telemetry and associated habitat data collected in a geodatabase from the upper Boise River, southwestern Idaho: U.S. Geological Survey Data Series 1042, 14 p., https://doi.org/10.3133/ds1042.","productDescription":"Report: v, 14 p.; Data release","onlineOnly":"Y","ipdsId":"IP-074981","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":338145,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1042/ds1042.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1042"},{"id":338143,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MG7MQJ","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Geodatabase Containing Bull Trout (Salvelinus confluentus) Information from the Upper Boise River, Southwestern Idaho"},{"id":338144,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1042/coverthb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Upper Boise River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.133333,\n 43.222222\n ],\n [\n -114.7,\n 43.222222\n ],\n [\n -114.7,\n 44.083333\n ],\n [\n -116.133333,\n 44.083333\n ],\n [\n -116.133333,\n 43.222222\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
http://id.water.usgs.gov
A common statistical procedure for estimating streamflow statistics at ungaged locations is to develop a relational model between streamflow and drainage basin characteristics at gaged locations using least squares regression analysis; however, least squares regression methods are parametric and make constraining assumptions about the data distribution. The random forest regression method provides an alternative nonparametric method for estimating streamflow characteristics at ungaged sites and requires that the data meet fewer statistical conditions than least squares regression methods.
Random forest regression analysis was used to develop predictive models for 89 streamflow characteristics using Precipitation-Runoff Modeling System simulated streamflow data and drainage basin characteristics at 179 sites in central and eastern Montana. The predictive models were developed from streamflow data simulated for current (baseline, water years 1982–99) conditions and three future periods (water years 2021–38, 2046–63, and 2071–88) under three different climate-change scenarios. These predictive models were then used to predict streamflow characteristics for baseline conditions and three future periods at 1,707 fish sampling sites in central and eastern Montana. The average root mean square error for all predictive models was about 50 percent. When streamflow predictions at 23 fish sampling sites were compared to nearby locations with simulated data, the mean relative percent difference was about 43 percent. When predictions were compared to streamflow data recorded at 21 U.S. Geological Survey streamflow-gaging stations outside of the calibration basins, the average mean absolute percent error was about 73 percent.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175002","collaboration":"Prepared in cooperation with the Plains and Prairie Potholes Landscape Conservation Cooperative and the Bureau of Land Management","usgsCitation":"Sando, Roy, and Chase, K.J., 2017, Estimating current and future streamflow characteristics at ungaged sites, central and eastern Montana, with application to evaluating effects of climate change on fish populations: U.S. Geological Survey Scientific Investigations Report 2017–5002, 23 p., https://doi.org/10.3133/sir20175002.","productDescription":"Report: vi, 26 p.; Appendixes 1-1 to 1-18","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-069581","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":338115,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5002/sir20175002.pdf","text":"Report","size":"14.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5002"},{"id":338114,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5002/coverthb.jpg"},{"id":338116,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5002/sir20175002_appendixtables.xlsx","text":"Appendix Tables 1–1 to 1–18","size":"11.9 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017–5002 Appendix Tables 1–1 to 1–18"}],"country":"United States","state":"Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.291015625,\n 43.99281450048989\n ],\n [\n -102.23876953125,\n 43.99281450048989\n ],\n [\n -102.23876953125,\n 49.59647007089266\n ],\n [\n -113.291015625,\n 49.59647007089266\n ],\n [\n -113.291015625,\n 43.99281450048989\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Ave
Helena, MT 59601
The Upper Mississippi River System (UMRS), the navigable part of the Upper Mississippi and Illinois Rivers, is a diverse ecosystem that contains river channels, tributaries, shallow-water wetlands, backwater lakes, and flood-plain forests. Approximately 10,000 years of geologic and hydrographic history exist within the UMRS. Because it maintains crucial wildlife and fish habitats, the dynamic ecosystems of the Upper Mississippi River Basin and its tributaries are contingent on the adjacent flood plains and water-level fluctuations of the Mississippi River. Separate data for flood-plain elevation (lidar) and riverbed elevation (bathymetry) were collected on the UMRS by the U.S. Army Corps of Engineers’ (USACE) Upper Mississippi River Restoration (UMRR) Program. Using the two elevation datasets, the U.S. Geological Survey (USGS) Upper Midwest Environmental Sciences Center (UMESC) developed a systemic topobathy dataset.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163097","collaboration":"Prepared in cooperation with Upper Mississippi River Restoration","usgsCitation":"Stone, J.M., Hanson, J.L., and Sattler, S.R., 2017, The Upper Mississippi River System—Topobathy: U.S. Geological Survey Fact Sheet 2016–3097, 4 p., https://doi.org/10.3133/fs20163097.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-077869","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":338162,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3097/coverthb.jpg"},{"id":338163,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3097/fs20163097.pdf","text":"Fact Sheet","size":"3.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3097"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi River System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.36279296875,\n 46.22545288226939\n ],\n [\n -89.6044921875,\n 46.30140615437332\n ],\n [\n -90.15380859375,\n 46.30140615437332\n ],\n [\n -91.0546875,\n 46.40756396630067\n ],\n [\n -91.49414062499999,\n 46.46813299215554\n ],\n [\n -91.99951171875,\n 46.51351558059737\n ],\n [\n -92.59277343749999,\n 46.45299704748289\n ],\n [\n -92.59277343749999,\n 46.66451741754235\n ],\n [\n -92.92236328125,\n 46.86019101567027\n ],\n [\n -93.09814453125,\n 46.93526088057719\n ],\n [\n -93.1640625,\n 47.18971246448421\n ],\n [\n -92.94433593749999,\n 47.53203824675999\n ],\n [\n -92.92236328125,\n 47.66538735632654\n ],\n [\n -93.09814453125,\n 47.70976154266637\n ],\n [\n -93.66943359374999,\n 47.69497434186282\n ],\n [\n -93.93310546875,\n 47.65058757118734\n ],\n [\n -94.28466796874999,\n 47.76886840424207\n ],\n [\n -94.63623046875,\n 47.724544549099676\n ],\n [\n -94.94384765625,\n 47.5913464767971\n ],\n [\n -95.09765625,\n 47.41322033016902\n ],\n [\n -95.07568359375,\n 47.17477833929903\n ],\n [\n -95.2294921875,\n 46.92025531537451\n ],\n [\n -95.2294921875,\n 46.73986059969267\n ],\n [\n -95.537109375,\n 46.58906908309182\n ],\n [\n -95.77880859375,\n 46.483264729155586\n ],\n [\n -95.888671875,\n 46.36209301204985\n ],\n [\n -95.82275390625,\n 46.118941506107056\n ],\n [\n -95.77880859375,\n 45.73685954736049\n ],\n [\n -95.9326171875,\n 45.583289756006316\n ],\n [\n -96.35009765625,\n 45.644768217751924\n ],\n [\n -96.87744140625,\n 45.66012730272194\n ],\n [\n -97.09716796875,\n 45.89000815866184\n ],\n [\n -97.36083984375,\n 46.14939437647686\n ],\n [\n -97.6904296875,\n 46.164614496897094\n ],\n [\n -97.58056640625,\n 45.920587344733654\n ],\n [\n -97.27294921875,\n 45.644768217751924\n ],\n [\n -96.83349609375,\n 45.13555516012536\n ],\n [\n -96.70166015624999,\n 44.88701247981298\n ],\n [\n -96.45996093749999,\n 44.5278427984555\n ],\n [\n -96.30615234375,\n 44.29240108529005\n ],\n [\n -95.77880859375,\n 44.040218713142146\n ],\n [\n -95.712890625,\n 43.75522505306928\n ],\n [\n -95.16357421875,\n 43.691707903073805\n ],\n [\n -94.89990234375,\n 43.6599240747891\n ],\n [\n -94.833984375,\n 43.5326204268101\n ],\n [\n -94.89990234375,\n 43.32517767999296\n ],\n [\n -95.0537109375,\n 43.004647127794435\n ],\n [\n -95.11962890625,\n 42.73087427928485\n ],\n [\n -94.98779296875,\n 42.342305278572816\n ],\n [\n -94.7021484375,\n 41.88592102814744\n ],\n [\n -94.72412109375,\n 41.672911819602085\n ],\n [\n -94.37255859375,\n 41.541477666790286\n ],\n [\n -93.9990234375,\n 41.36031866306708\n ],\n [\n -93.8232421875,\n 41.21172151054787\n ],\n [\n -93.62548828125,\n 41.07935114946899\n ],\n [\n -93.22998046875,\n 41.07935114946899\n ],\n [\n -92.87841796875,\n 41.04621681452063\n ],\n [\n -92.63671875,\n 40.97989806962013\n ],\n [\n -92.548828125,\n 40.730608477796636\n ],\n [\n -92.52685546875,\n 40.44694705960048\n ],\n [\n -92.43896484375,\n 40.1452892956766\n ],\n [\n -92.43896484375,\n 39.90973623453719\n ],\n [\n -92.35107421874999,\n 39.53793974517628\n ],\n [\n -92.26318359375,\n 39.14710270770074\n ],\n [\n -92.04345703125,\n 39.04478604850143\n ],\n [\n -91.7578125,\n 38.993572058209466\n ],\n [\n -91.7138671875,\n 38.89103282648846\n ],\n [\n -91.4501953125,\n 38.75408327579141\n ],\n [\n -91.14257812499999,\n 38.58252615935333\n ],\n [\n -90.703125,\n 38.54816542304656\n ],\n [\n -90.439453125,\n 38.58252615935333\n ],\n [\n -90.2197265625,\n 38.59970036588819\n ],\n [\n -90.54931640625,\n 38.39333888832238\n ],\n [\n -90.98876953125,\n 38.28993659801203\n ],\n [\n -91.14257812499999,\n 38.20365531807149\n ],\n [\n -91.318359375,\n 38.11727165830543\n ],\n [\n -91.82373046875,\n 38.08268954483802\n ],\n [\n -91.86767578124999,\n 37.89219554724437\n ],\n [\n -91.8017578125,\n 37.63163475580643\n ],\n [\n -91.669921875,\n 37.31775185163688\n ],\n [\n -91.47216796875,\n 37.16031654673677\n ],\n [\n -90.90087890624999,\n 37.28279464911045\n ],\n [\n -90.17578124999999,\n 37.45741810262938\n ],\n [\n -90.06591796875,\n 37.37015718405753\n ],\n [\n -90.10986328125,\n 37.19533058280065\n ],\n [\n -90.24169921875,\n 36.98500309285596\n ],\n [\n -90.32958984375,\n 36.80928470205937\n ],\n [\n -89.912109375,\n 36.73888412439431\n ],\n [\n -89.71435546875,\n 36.79169061907076\n ],\n [\n -89.53857421875,\n 36.87962060502676\n ],\n [\n -89.31884765624999,\n 36.914764288955936\n ],\n [\n -89.14306640625,\n 36.84446074079564\n ],\n [\n -88.92333984375,\n 36.98500309285596\n ],\n [\n -88.74755859375,\n 37.142803443716836\n ],\n [\n -88.681640625,\n 37.33522435930639\n ],\n [\n -88.8134765625,\n 37.49229399862877\n ],\n [\n -88.6376953125,\n 37.68382032669382\n ],\n [\n -88.39599609375,\n 37.84015683604136\n ],\n [\n -88.30810546875,\n 38.09998264736481\n ],\n [\n -88.30810546875,\n 38.35888785866677\n ],\n [\n -88.39599609375,\n 38.53097889440024\n ],\n [\n -88.39599609375,\n 38.71980474264237\n ],\n [\n -88.30810546875,\n 38.839707613545144\n ],\n [\n -88.17626953125,\n 39.027718840211605\n ],\n [\n -88.17626953125,\n 39.16414104768742\n ],\n [\n -88.08837890625,\n 39.436192999314095\n ],\n [\n -87.978515625,\n 39.690280594818034\n ],\n [\n -87.91259765625,\n 39.80853604144591\n ],\n [\n -87.91259765625,\n 40.094882122321145\n ],\n [\n -87.91259765625,\n 40.39676430557203\n ],\n [\n -88.00048828124999,\n 40.56389453066509\n ],\n [\n -88.06640625,\n 40.74725696280421\n ],\n [\n -87.890625,\n 40.84706035607122\n ],\n [\n -87.73681640625,\n 40.54720023441049\n ],\n [\n -87.51708984375,\n 40.51379915504413\n ],\n [\n -87.25341796875,\n 40.49709237269567\n ],\n [\n -87.16552734375,\n 40.49709237269567\n ],\n [\n -86.8798828125,\n 40.66397287638688\n ],\n [\n -86.72607421875,\n 40.78054143186033\n ],\n [\n -86.7041015625,\n 40.863679665481676\n ],\n [\n -86.50634765625,\n 41.02964338716638\n ],\n [\n -86.17675781249999,\n 41.178653972331674\n ],\n [\n -85.80322265625,\n 41.244772343082076\n ],\n [\n -85.53955078125,\n 41.31082388091818\n ],\n [\n -85.58349609375,\n 41.57436130598913\n ],\n [\n -85.89111328125,\n 41.72213058512578\n ],\n [\n -86.15478515625,\n 41.705728515237524\n ],\n [\n -86.4404296875,\n 41.64007838467894\n ],\n [\n -86.748046875,\n 41.590796851056005\n ],\n [\n -87.099609375,\n 41.44272637767212\n ],\n [\n -87.2314453125,\n 41.42625319507269\n ],\n [\n -87.42919921875,\n 41.5579215778042\n ],\n [\n -87.51708984375,\n 41.77131167976407\n ],\n [\n -87.7587890625,\n 42.049292638686836\n ],\n [\n -88.00048828124999,\n 42.47209690919285\n ],\n [\n -88.08837890625,\n 42.633958722673135\n ],\n [\n -88.154296875,\n 42.779275360241904\n ],\n [\n -88.17626953125,\n 43.16512263158296\n ],\n [\n -88.24218749999999,\n 43.26120612479979\n ],\n [\n -88.48388671874999,\n 43.739352079154706\n ],\n [\n -88.505859375,\n 43.88205730390537\n ],\n [\n -88.5498046875,\n 43.99281450048989\n ],\n [\n -88.74755859375,\n 44.02442151965934\n ],\n [\n -88.87939453125,\n 44.008620115415354\n ],\n [\n -89.18701171875,\n 43.78695837311561\n ],\n [\n -89.62646484375,\n 43.67581809328341\n ],\n [\n -89.71435546875,\n 43.8503744993026\n ],\n [\n -89.56054687499999,\n 44.10336537791152\n ],\n [\n -89.45068359374999,\n 44.24519901522129\n ],\n [\n -89.384765625,\n 44.35527821160296\n ],\n [\n -89.384765625,\n 44.62175409623324\n ],\n [\n -89.36279296875,\n 44.69989765840318\n ],\n [\n -89.2529296875,\n 45.058001435398275\n ],\n [\n -89.05517578125,\n 45.336701909968134\n ],\n [\n -89.2529296875,\n 45.521743896993634\n ],\n [\n -89.2529296875,\n 45.61403741135093\n ],\n [\n -89.20898437499999,\n 45.75219336063106\n ],\n [\n -89.36279296875,\n 46.027481852486645\n ],\n [\n -89.36279296875,\n 46.164614496897094\n ],\n [\n -89.36279296875,\n 46.22545288226939\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, Wisconsin 54603
Bathymetric, topographic, and grain-size data were collected in May 2009 along a 33-mi reach of the Colorado River in Grand Canyon National Park, Arizona. The study reach is located from river miles 29 to 62 at the confluence of the Colorado and Little Colorado Rivers. Channel bathymetry was mapped using multibeam and singlebeam echosounders, subaerial topography was mapped using ground-based total-stations, and bed-sediment grain-size data were collected using an underwater digital microscope system. These data were combined to produce digital elevation models, spatially variable estimates of digital elevation model uncertainty, georeferenced grain-size data, and bed-sediment distribution maps. This project is a component of a larger effort to monitor the status and trends of sand storage along the Colorado River in Grand Canyon National Park. This report documents the survey methods and post-processing procedures, digital elevation model production and uncertainty assessment, and procedures for bed-sediment classification, and presents the datasets resulting from this study.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171030","collaboration":"Prepared in cooperation with Northern Arizona University","usgsCitation":"Kaplinski, M., Hazel, J.E., Jr., Grams, P.E., Kohl, Keith, Buscombe, D.D., and Tusso, R.B., 2017, Channel mapping river miles 29–62 of the Colorado River in Grand Canyon National Park, Arizona, May 2009: U.S. Geological Survey Open-File Report 2017–1030, 35 p., https://doi.org/10.3133/ofr20171030.","productDescription":"vi, 35 p.","onlineOnly":"Y","ipdsId":"IP-079813","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":438410,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7930RCG","text":"USGS data release","linkHelpText":"Channel Mapping of the Colorado River in Grand Canyon National Park, Arizona - May 2009, river miles 29 to 62Data"},{"id":338081,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1030/coverthb.jpg"},{"id":338082,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1030/ofr20171030.pdf","text":"Report","size":"2.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1030"},{"id":350633,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7930RCG","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Channel Mapping of the Colorado River in Grand Canyon National Park, Arizona, May 2009, river miles 29 to 62—Data"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.7,\n 36.541667\n ],\n [\n -112,\n 36.541667\n ],\n [\n -112,\n 36.125\n ],\n [\n -111.7,\n 36.125\n ],\n [\n -111.7,\n 36.541667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"GCMRC Staff, Southwest Biological Science Center
U.S. Geological Survey
Grand Canyon Monitoring and Research Center
2255 N. Gemini Drive
Flagstaff, Arizona 86001
https://www.gcmrc.gov/
The U.S. Geological Survey (USGS), in cooperation with the Colorado River Basin Salinity Control Forum, studied trends in dissolved-solids loads at selected sites in and near the Uinta Basin, Utah. The Uinta Basin study area includes the Duchesne River Basin and the Middle Green River Basin in Utah from below Flaming Gorge Reservoir to the town of Green River.
Annual dissolved-solids loads for water years (WY) 1989 through 2013 were estimated for 16 gaging stations in the study area using streamflow and water-quality data from the USGS National Water Information System database. Eight gaging stations that monitored catchments with limited or no agricultural land use (natural subbasins) were used to assess loads from natural sources. Four gaging stations that monitored catchments with agricultural land in the Duchesne River Basin were used to assess loads from agricultural sources. Four other gaging stations were included in the dissolved-solids load and trend analysis to help assess the effects of agricultural areas that drain to the Green River in the Uinta Basin, but outside of the Duchesne River Basin.
Estimated mean annual dissolved-solids loads for WY 1989–2013 ranged from 1,520 tons at Lake Fork River above Moon Lake, near Mountain Home, Utah (UT), to 1,760,000 tons at Green River near Green River, UT. The flow-normalized loads at gaging stations upstream of agricultural activities showed no trend or a relatively small change. The largest net change in modeled flow-normalized load was -352,000 tons (a 17.8-percent decrease) at Green River near Green River, UT.
Annual streamflow and modeled dissolved-solids loads at the gaging stations were balanced between upstream and downstream sites to determine how much water and dissolved solids were transported to the Duchesne River and a section of the Green River, and how much was picked up in each drainage area. Mass-balance calculations of WY 1989–2013 mean annual dissolved-solids loads at the studied sites show that Green River near Jensen, UT, accounts for 64 percent of the load in the river at Green River, UT, while the Duchesne River and White River contribute 10 and 13 percent, respectively.
Annual streamflow and modeled dissolved-solids loads at the gaging stations were balanced between upstream and downstream sites to determine how much water and dissolved solids were transported to the Duchesne River and a section of the Green River, and how much was picked up in each drainage area. Mass-balance calculations of WY 1989–2013 mean annual dissolved-solids loads at the studied sites show that Green River near Jensen, UT, accounts for 64 percent of the load in the river at Green River, UT, while the Duchesne River and White River contribute 10 and 13 percent, respectively.
The flow-normalized dissolved-solids loads estimated at Duchesne River near Randlett, UT, and White River near Watson, UT, decreased by 68,000 and 55,300 tons, or 27.8 and 20.8 percent respectively, when comparing 1989 to 2013. The drainage basins for both rivers have undergone salinity-control projects since the early 1980s to reduce the dissolved-solids load entering the Colorado River. Approximately 19 percent of the net change in flow-normalized load at Green River at Green River, UT, is from changes in load modeled at Duchesne River near Randlett, UT, and 16 percent from changes in load modeled at White River near Watson, UT. The net change in flow-normalized load estimated at Green River near Greendale, UT, for WY 1989–2013 accounts for about 45 percent of the net change estimated at Green River at Green River, UT.
Mass-balance calculations of WY 1989–2013 mean annual dissolved-solids loads at the studied sites in the Duchesne River Basin show that 75,400 tons or 44 percent of the load at the Duchesne River near Randlett, UT, gaging station was not accounted for at any of the upstream gages. Most of this unmonitored load is derived from tributary inflow, groundwater discharge, unconsumed irrigation water, and irrigation tail water.
A mass balance of WY 1989–2013 flow-normalized loads estimated at sites in the Duchesne River Basin indicates that the flow-normalized load of unmonitored inflow to the Duchesne River between the Myton and Randlett gaging stations decreased by 38 percent. The total net decrease in flow-normalized load calculated for unmonitored inflow in the drainage basin accounts for 94 percent of the decrease in WY 1989–2013 flow-normalized load modeled at the Duchesne River near Randlett, UT, gaging station. Irrigation improvements in the drainage basin have likely contributed to the decrease in flow-normalized load.
Reductions in dissolved-solids load estimated by the Natural Resources Conservation Service (NRCS) and the Bureau of Reclamation (Reclamation) from on- and off-farm improvements in the Uinta Basin totaled about 135,000 tons in 2013 (81,900 tons from on-farm improvements and 53,300 tons from off-farm improvements). The reduction in dissolved-solids load resulting from on- and off-farm improvements facilitated by the NRCS and Reclamation in the Price River Basin from 1989 to 2013 was estimated to be 64,800 tons.
The amount of sprinkler-irrigated land mapped in the drainage area or subbasin area for a gaging station was used to estimate the reduction in load resulting from the conversion from flood to sprinkler irrigation. Sprinkler-irrigated land mapped in the Uinta Basin totaled 109,630 acres in 2012. Assuming conversion to wheel-line sprinklers, a reduction in dissolved-solids load in the Uinta Basin of 95,800 tons in 2012 was calculated using the sprinkler-irrigation acreage and a pre-salinity-control project dissolved-solids yield of 1.04 tons per acre.
A reduction of 72,800 tons in dissolved-solids load from irrigation improvements was determined from sprinkler-irrigated lands in the Ashley Valley and Jensen, Pelican Lake, and Pleasant Valley areas (mapped in 2012); and in the Price River Basin (mapped in 2011). This decrease in dissolved-solids load is 8,800 tons more than the decrease in unmonitored flow-normalized dissolved-solids load (-64,000 tons) determined for the Green River between the Jensen and Green River gaging stations.
The net WY 1989–2013 change in flow-normalized dissolved-solids load at the Duchesne River near Randlett, UT, and the Green River between the Jensen and Green River, UT, gaging stations determined from mass-balance calculations was compared to reported reductions in dissolved-solids load from on- and off-farm improvements and estimated reductions in load determined from mapped sprinkler-irrigated areas in the Duchesne River Basin and the area draining to the Green River between the Jensen and Green River gaging stations. The combined NRCS and Reclamation estimates of reduction in dissolved-solids load from on- and off-farm improvements in the study area (200,000 tons) is more than the reduction in load estimated using the acreage with sprinkler improvements (136,000 tons) or the mass-balance of flow-normalized load (132,000 tons).
Director, Utah Water Science Center
U.S. Geological Survey
2329 West Orton Circle
Salt Lake City, UT 84119-2047
(801) 908-5000
http://ut.water.usgs.gov/
Climate change can have a broad range of effects on ecosystems and organisms, and early responses may include shifts in vegetation phenology and productivity that may not coincide with the energetics and forage timing of higher trophic levels. We evaluated phenology, annual height growth, and foliar frost responses of forbs to a factorial experiment of snow removal (SR) and warming in a high-elevation meadow over two years in the Rocky Mountains, United States. Species included arrowleaf balsamroot (Balsamorhiza sagittata, early-season emergence and flowering) and buckwheat (Eriogonum umbellatum, semi-woody and late-season flowering), key forbs for pollinator and nectar-using animal communities that are widely distributed and locally abundant in western North America. Snow removal exerted stronger effects than did warming, and advanced phenology differently for each species. Specifically, SR advanced green-up by a few days for B. sagittata to >2 wk in E. umbellatum, and led to 5- to 11-d advances in flowering of B. sagittata in one year and advances in bud break in 3 of 4 species/yr combinations. Snow removal increased height of E. umbellatum appreciably (~5 cm added to ~22.8 cm in control), but led to substantial increases in frost damage to flowers of B. sagittata. Whereas warming had no effects on E. umbellatum, it increased heights of B. sagittata by >6 cm (compared to 30.7 cm in control plots) and moreover led to appreciable reductions in frost damage to flowers. These data suggest that timing of snowmelt, which is highly variable from year to year but is advancing in recent decades, has a greater impact on these critical phenological, growth, and floral survival traits and floral/nectar resources than warming per se, although warming mitigated early effects of SR on frost kill of flowers. Given the short growing season of these species, the shifts could cause uncoupling in nectar availability and timing of foraging.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1745","usgsCitation":"Sherwood, J., Debinski, D., Caragea, P., and Germino, M., 2017, Effects of experimentally reduced snowpack and passive warming on montane meadow plant phenology and floral resources: Ecosphere, v. 8, no. 3, Article e01745: 13 p., https://doi.org/10.1002/ecs2.1745.","productDescription":"Article e01745: 13 p.","ipdsId":"IP-086158","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1745","text":"Publisher Index Page"},{"id":344848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-17","publicationStatus":"PW","scienceBaseUri":"59b76f2ae4b08b1644ddfaee","contributors":{"authors":[{"text":"Sherwood, J.A.","contributorId":195639,"corporation":false,"usgs":false,"family":"Sherwood","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":707751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Debinski, D.M.","contributorId":195640,"corporation":false,"usgs":false,"family":"Debinski","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":707752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caragea, P.C.","contributorId":195641,"corporation":false,"usgs":false,"family":"Caragea","given":"P.C.","affiliations":[],"preferred":false,"id":707753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":707750,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185291,"text":"ofr20171035 - 2017 - Distribution, nesting activities, and age-class of territorial pairs of golden eagles at the Altamont Pass Wind Resource Area, California, 2014–16","interactions":[],"lastModifiedDate":"2017-11-22T15:51:58","indexId":"ofr20171035","displayToPublicDate":"2017-03-22T00:00:00","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":"2017-1035","title":"Distribution, nesting activities, and age-class of territorial pairs of golden eagles at the Altamont Pass Wind Resource Area, California, 2014–16","docAbstract":"The substantial numbers of golden eagles (Aquila chrysaetos) killed by collisions with oldgeneration wind turbines each year at the Altamont Pass Wind Resource Area (APWRA) in California has been well documented from previous studies. Few eagle nests have been documented in the APWRA, however, and adults and subadults 3+ years of age killed by turbines were generally not associated with nearby territories. We searched a subset of randomly selected survey plots for territorial pairs of golden eagles and associated nesting attempts within the APWRA as part of a broader investigation of population dynamics in the surrounding northern Diablo Range. In contrast to limited historical observations from 1988 to 2013, our surveys documented up to 15 territorial pairs within 3.2 kilometers (km) of wind turbines at the APWRA annually, 9 of which were not previously documented or only observed intermittently during historical surveys. We found evidence of nesting activity by adult pairs at least once during our study at six of these territories. We also determined that 23–36 percent of territories identified within 3.2 km of the APWRA had a subadult pair member, but that no pairs with a subadult member attempted to nest. These data will be useful to developers, wildlife managers, and future raptor studies in the area to evaluate and minimize the potential effects of wind energy or other development activities on previously unknown territorial pairs in the area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171035","collaboration":"Prepared in cooperation with Next Era Energy, Inc., U.S. Fish and Wildlife Service, East Bay Regional Park District, and The Peregrine Fund, Inc.","usgsCitation":"Kolar, P.S., and Wiens, J.D., 2017, Distribution, nesting activities, and age-class of territorial pairs of golden\neagles at the Altamont Pass Wind Resource Area, California, 2014–16: U.S. Geological Survey Open-File\nReport 2017–1035, 18 p., https://doi.org/10.3133/ofr20171035.","productDescription":"iv, 18 p.","onlineOnly":"Y","ipdsId":"IP-081674","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":338092,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1035/ofr20171035.pdf","text":"Report","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1035"},{"id":338091,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1035/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Altamont Pass Wind Resource Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.8,\n 37.866667\n ],\n [\n -121.366667,\n 37.866667\n ],\n [\n -121.366667,\n 37.533333\n ],\n [\n -121.8,\n 37.533333\n ],\n [\n -121.8,\n 37.866667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330
http://fresc.usgs.gov/
Decision-analytic models provide forecasts of how systems of interest will respond to management. These models can be parameterized using empirical data, but sometimes require information elicited from experts. When evaluating the effects of disease in species translocation programs, expert judgment is likely to play a role because complete empirical information will rarely be available. We illustrate development of a decision-analytic model built to inform decision-making regarding translocations and other management actions for the boreal toad (Anaxyrus boreas boreas), a species with declines linked to chytridiomycosis caused by Batrachochytrium dendrobatidis (Bd). Using the model, we explored the management implications of major uncertainties in this system, including whether there is a genetic basis for resistance to pathogenic infection by Bd, how translocation can best be implemented, and the effectiveness of efforts to reduce the spread of Bd. Our modeling exercise suggested that while selection for resistance to pathogenic infectionDecision-analytic models provide forecasts of how systems of interest will respond to management. These models can be parameterized using empirical data, but sometimes require information elicited from experts. When evaluating the effects of disease in species translocation programs, expert judgment is likely to play a role because complete empirical information will rarely be available. We illustrate development of a decision-analytic model built to inform decision-making regarding translocations and other management actions for the boreal toad (Anaxyrus boreas boreas), a species with declines linked to chytridiomycosis caused by Batrachochytrium dendrobatidis (Bd). Using the model, we explored the management implications of major uncertainties in this system, including whether there is a genetic basis for resistance to pathogenic infection by Bd, how translocation can best be implemented, and the effectiveness of efforts to reduce the spread of Bd. Our modeling exercise suggested that while selection for resistance to pathogenic infection by Bd could increase numbers of sites occupied by toads, and translocations could increase the rate of toad recovery, efforts to reduce the spread of Bd may have little effect. We emphasize the need to continue developing and parameterizing models necessary to assess management actions for combating chytridiomycosis-associated declines. by Bd could increase numbers of sites occupied by toads, and translocations could increase the rate of toad recovery, efforts to reduce the spread of Bd may have little effect. We emphasize the need to continue developing and parameterizing models necessary to assess management actions for combating chytridiomycosis-associated declines.
","language":"English","publisher":"Springer","publisherLocation":"New York","doi":"10.1007/s10393-016-1117-9","usgsCitation":"Converse, S.J., Bailey, L., Mosher, B.A., Funk, W.C., Gerber, B.D., and Muths, E.L., 2017, A model to inform management actions as a response to chytridiomycosis-associated decline: EcoHealth, v. 14, no. 1, p. 144-155, https://doi.org/10.1007/s10393-016-1117-9.","productDescription":"12 p.","startPage":"144","endPage":"155","ipdsId":"IP-070781","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":337907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-07","publicationStatus":"PW","scienceBaseUri":"58d23b90e4b0236b68f828ec","chorus":{"doi":"10.1007/s10393-016-1117-9","url":"http://dx.doi.org/10.1007/s10393-016-1117-9","publisher":"Springer Nature","authors":"Converse Sarah J., Bailey Larissa L., Mosher Brittany A., Funk W. Chris, Gerber Brian D., Muths Erin","journalName":"EcoHealth","publicationDate":"4/7/2016","auditedOn":"8/1/2016","publiclyAccessibleDate":"4/7/2016"},"contributors":{"authors":[{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":685238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Larissa L.","contributorId":93183,"corporation":false,"usgs":true,"family":"Bailey","given":"Larissa L.","affiliations":[],"preferred":false,"id":685239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mosher, Brittany A.","contributorId":189579,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":685281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":97589,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":685241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gerber, Brian D.","contributorId":187620,"corporation":false,"usgs":false,"family":"Gerber","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":685282,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":685242,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70185344,"text":"70185344 - 2017 - Harmonization of forest disturbance datasets of the conterminous USA from 1986 to 2011","interactions":[],"lastModifiedDate":"2022-04-22T16:06:14.62554","indexId":"70185344","displayToPublicDate":"2017-03-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Harmonization of forest disturbance datasets of the conterminous USA from 1986 to 2011","docAbstract":"Several spatial forest disturbance datasets exist for the conterminous USA. The major problem with forest disturbance mapping is that variability between map products leads to uncertainty regarding the actual rate of disturbance. In this article, harmonized maps were produced from multiple data sources (i.e., Global Forest Change, LANDFIRE Vegetation Disturbance, National Land Cover Database, Vegetation Change Tracker, and Web-Enabled Landsat Data). The harmonization process involved fitting common class ontologies and determining spatial congruency to produce forest disturbance maps for four time intervals (1986–1992, 1992–2001, 2001–2006, and 2006–2011). Pixels mapped as disturbed for two or more datasets were labeled as disturbed in the harmonized maps. The primary advantage gained by harmonization was improvement in commission error rates relative to the individual disturbance products. Disturbance omission errors were high for both harmonized and individual forest disturbance maps due to underlying limitations in mapping subtle disturbances with Landsat classification algorithms. To enhance the value of the harmonized disturbance products, we used fire perimeter maps to add information on the cause of disturbance.
","language":"English","publisher":"Kluwer","publisherLocation":"Dordrecht","doi":"10.1007/s10661-017-5879-5","usgsCitation":"Soulard, C.E., Acevedo, W., Cohen, W.B., Yang, Z., Stehman, S.V., and Taylor, J.L., 2017, Harmonization of forest disturbance datasets of the conterminous USA from 1986 to 2011: Environmental Monitoring and Assessment, v. 189, 170: 17 p., https://doi.org/10.1007/s10661-017-5879-5.","productDescription":"170: 17 p.","ipdsId":"IP-075245","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":337906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-75.867044,36.550754],[-75.536428,35.780118],[-75.723662,36.003139],[-75.85147,36.415785],[-76.019261,36.503506],[-75.793974,36.07171],[-75.922344,36.244122],[-75.904999,36.164188],[-76.184702,36.298166],[-76.064224,36.143775],[-76.447812,36.192514],[-76.298733,36.1012],[-76.514335,36.00564],[-76.676484,36.043612],[-76.693253,36.278357],[-76.7521,36.147328],[-76.667547,35.933509],[-76.024162,35.970891],[-76.04015,35.65131],[-75.947293,35.959835],[-75.80935,35.959308],[-75.71294,35.69849],[-75.775328,35.579335],[-75.895045,35.573152],[-76.149655,35.326411],[-76.485762,35.371375],[-76.586349,35.508957],[-76.471207,35.55742],[-76.634468,35.510332],[-76.580187,35.387113],[-77.023912,35.514802],[-76.467776,35.276951],[-76.60042,35.067867],[-76.801426,34.964369],[-76.982904,35.060607],[-76.762931,34.920374],[-76.463468,35.076411],[-76.395625,34.975179],[-76.288354,35.005726],[-76.524712,34.681964],[-76.604796,34.787482],[-76.673619,34.71491],[-76.523303,34.652271],[-76.038648,35.065045],[-76.535946,34.588577],[-76.726969,34.69669],[-77.169701,34.622023],[-77.740136,34.272546],[-77.970606,33.844517],[-78.276147,33.912364],[-78.772737,33.768511],[-79.084588,33.483669],[-79.18787,33.173712],[-79.359961,33.006672],[-79.55756,33.021269],[-79.576006,32.906235],[-79.999374,32.611851],[-80.472068,32.496964],[-80.455192,32.326458],[-80.858735,32.099581],[-80.862814,31.969346],[-81.203572,31.719448],[-81.133493,31.623348],[-81.260076,31.54828],[-81.177254,31.517074],[-81.288403,31.211065],[-81.493651,30.977528],[-81.403409,30.957914],[-81.447087,30.503679],[-81.163581,29.55529],[-80.525094,28.459454],[-80.606874,28.336484],[-80.566432,28.09563],[-80.031362,26.796339],[-80.127987,25.772245],[-80.154972,25.66549],[-80.197674,25.74437],[-80.296719,25.622195],[-80.31036,25.3731],[-80.418872,25.235532],[-81.079859,25.118797],[-81.352731,25.822015],[-81.527665,25.901531],[-81.68954,25.85271],[-81.868983,26.378648],[-82.105672,26.48393],[-82.181565,26.681712],[-82.093023,26.665614],[-82.063126,26.950214],[-82.175241,26.916867],[-82.147068,26.789803],[-82.259867,26.717398],[-82.745748,27.538834],[-82.65072,27.523115],[-82.393383,27.837519],[-82.478063,27.92768],[-82.47244,27.822559],[-82.553946,27.848462],[-82.553918,27.966998],[-82.678606,27.993715],[-82.720395,27.937199],[-82.566819,27.858002],[-82.733076,27.612972],[-82.846526,27.854301],[-82.654138,28.590837],[-82.804736,29.146624],[-83.053207,29.130839],[-83.686423,29.923735],[-84.000716,30.096209],[-84.256439,30.103791],[-84.358923,30.058224],[-84.349066,29.896812],[-85.344768,29.654793],[-85.413575,29.85294],[-85.353885,29.684765],[-85.302591,29.808094],[-85.405052,29.938487],[-86.2987,30.363049],[-86.750906,30.391881],[-88.028401,30.221132],[-87.755263,30.277292],[-88.008396,30.684956],[-88.136173,30.320729],[-88.841328,30.409598],[-89.291444,30.303296],[-89.335942,30.374016],[-89.461275,30.174745],[-89.857558,30.004439],[-89.660568,29.862909],[-89.481926,30.079128],[-89.372375,30.054729],[-89.433411,29.991205],[-89.368019,29.911491],[-89.218071,29.97275],[-89.322289,29.887333],[-89.236298,29.877081],[-89.383789,29.838928],[-89.271034,29.756355],[-89.651237,29.749479],[-89.485367,29.624357],[-89.688141,29.615055],[-89.700501,29.515967],[-89.508551,29.386168],[-89.189354,29.345061],[-89.000674,29.180091],[-89.41148,28.925011],[-89.354798,29.072543],[-89.482844,29.215053],[-89.850305,29.311768],[-89.849642,29.477996],[-90.01251,29.462775],[-90.009678,29.294785],[-90.096038,29.240673],[-89.949925,29.263154],[-90.174273,29.105301],[-90.348768,29.057817],[-90.234235,29.110268],[-90.271251,29.204639],[-90.332796,29.276956],[-90.472489,29.192688],[-90.510555,29.290925],[-90.803699,29.063709],[-90.637495,29.066608],[-90.839345,29.039167],[-90.961278,29.180817],[-91.278792,29.247776],[-91.33275,29.305816],[-91.221166,29.436421],[-91.531021,29.531543],[-91.553537,29.632766],[-91.648941,29.633635],[-91.632829,29.742576],[-91.88075,29.710839],[-91.889118,29.836023],[-92.149349,29.697052],[-91.712002,29.56474],[-91.782387,29.482882],[-92.046316,29.584362],[-92.61627,29.578729],[-93.267456,29.778113],[-94.056506,29.671163],[-94.778691,29.361483],[-94.495025,29.525031],[-94.779674,29.530533],[-94.735271,29.785433],[-94.893107,29.661336],[-94.965963,29.70033],[-95.018253,29.554885],[-94.909898,29.49691],[-94.893994,29.30817],[-95.16525,29.113566],[-94.72253,29.331446],[-95.38239,28.866348],[-96.378616,28.383909],[-95.978526,28.650594],[-96.228909,28.580873],[-96.222802,28.698431],[-96.487943,28.569677],[-96.648758,28.709627],[-96.403973,28.44245],[-96.672677,28.335579],[-96.775985,28.405809],[-96.800413,28.224128],[-96.934765,28.123873],[-97.037008,28.185528],[-97.214039,28.087494],[-97.022806,28.107588],[-97.186709,27.825453],[-97.379042,27.837867],[-97.253955,27.696696],[-97.401942,27.335574],[-97.532223,27.278577],[-97.501688,27.366618],[-97.639094,27.253131],[-97.42408,27.264073],[-97.563266,26.842188],[-97.295072,26.108342],[-97.216954,25.993838],[-97.152009,26.062108],[-97.145567,25.971132],[-97.422636,25.840378],[-97.649176,26.021499],[-98.197046,26.056153],[-98.807348,26.369421],[-99.085126,26.398782],[-99.268613,26.843213],[-99.446524,27.023008],[-99.512219,27.568094],[-99.841708,27.766464],[-99.931812,27.980967],[-100.293468,28.278475],[-100.333814,28.499252],[-100.797671,29.246943],[-101.254895,29.520342],[-101.415402,29.756561],[-102.315389,29.87992],[-102.386678,29.76688],[-102.670971,29.741954],[-102.866846,29.225015],[-103.115328,28.98527],[-103.28119,28.982138],[-104.507568,29.639624],[-104.924796,30.604832],[-106.207837,31.468188],[-106.451541,31.764808],[-108.208394,31.783599],[-108.208573,31.333395],[-111.074825,31.332239],[-114.813613,32.494277],[-114.719633,32.718763],[-117.124862,32.534156],[-117.469794,33.296417],[-118.132698,33.753217],[-118.411211,33.741985],[-118.519514,34.027509],[-119.130169,34.100102],[-119.559459,34.413395],[-120.471376,34.447846],[-120.637805,34.56622],[-120.644311,35.139616],[-120.856047,35.206487],[-120.884757,35.430196],[-121.284973,35.674109],[-121.503112,36.000299],[-121.888491,36.30281],[-121.978592,36.580488],[-121.814462,36.682858],[-121.862266,36.931552],[-122.105976,36.955951],[-122.405073,37.195791],[-122.514483,37.780829],[-122.398139,37.80563],[-122.378545,37.605592],[-122.111344,37.50758],[-122.430087,37.963115],[-122.273006,38.07438],[-122.489974,38.112014],[-122.438268,37.880974],[-122.505383,37.822128],[-122.882114,38.025273],[-123.024066,37.994878],[-122.977082,38.267902],[-123.725367,38.917438],[-123.851714,39.832041],[-124.363414,40.260974],[-124.408601,40.443201],[-124.137066,40.925732],[-124.063076,41.439579],[-124.147412,41.717955],[-124.255994,41.783014],[-124.214213,42.005939],[-124.410982,42.250547],[-124.401177,42.627192],[-124.552441,42.840568],[-124.233534,43.55713],[-124.067569,44.428582],[-123.927891,46.009564],[-124.024305,46.229256],[-123.854801,46.157342],[-123.547636,46.265595],[-124.080671,46.267239],[-124.068655,46.634879],[-124.026032,46.462978],[-123.943667,46.477197],[-123.960642,46.636364],[-123.84621,46.716795],[-124.092176,46.741624],[-124.138225,46.905534],[-123.86018,46.948556],[-124.122057,47.04165],[-124.180111,46.926357],[-124.425195,47.738434],[-124.672427,47.964414],[-124.733174,48.163393],[-124.65894,48.331057],[-124.731828,48.381157],[-123.981032,48.164761],[-123.332699,48.11297],[-123.133445,48.177276],[-122.877641,48.047025],[-122.833173,48.134406],[-122.760448,48.14324],[-122.766648,48.04429],[-122.68724,48.101662],[-122.718082,47.987739],[-122.610341,47.887343],[-122.811929,47.679861],[-122.820178,47.835904],[-123.15598,47.355745],[-122.549072,47.919072],[-122.470333,47.757109],[-122.554454,47.745704],[-122.479089,47.583654],[-122.547521,47.285344],[-122.611464,47.2181],[-122.697378,47.283969],[-122.632463,47.376394],[-122.725738,47.33047],[-122.641802,47.205013],[-122.711997,47.127681],[-122.832799,47.243412],[-122.803688,47.355071],[-122.863732,47.270221],[-122.858735,47.167955],[-122.67813,47.103866],[-122.547747,47.316403],[-122.4442,47.266723],[-122.324833,47.348521],[-122.421139,47.57602],[-122.339513,47.599113],[-122.429841,47.658919],[-122.224979,48.016626],[-122.395499,48.228551],[-122.479008,48.175703],[-122.358375,48.056133],[-122.512031,48.133931],[-122.530996,48.249821],[-122.371693,48.287839],[-122.712322,48.464143],[-122.471832,48.470724],[-122.534719,48.574246],[-122.425271,48.599522],[-122.535803,48.776128],[-122.673472,48.733082],[-122.821631,48.941369],[-122.75802,49.002357],[-95.153711,48.998903],[-95.15335,49.383079],[-94.957465,49.370186],[-94.816222,49.320987],[-94.645083,48.744143],[-93.840754,48.628548],[-93.794454,48.516021],[-92.954876,48.631493],[-92.634931,48.542873],[-92.712562,48.463013],[-92.456325,48.414204],[-92.369174,48.220268],[-92.26228,48.354933],[-92.055228,48.359213],[-91.567254,48.043719],[-90.88548,48.245784],[-90.751608,48.090968],[-89.489226,48.014528],[-90.86827,47.5569],[-92.094089,46.787839],[-91.961889,46.682539],[-90.855874,46.962232],[-90.750952,46.890293],[-90.951476,46.597033],[-90.73726,46.692267],[-90.436512,46.561748],[-88.972802,47.002096],[-88.418841,47.371058],[-87.929672,47.478743],[-87.710471,47.4062],[-87.957058,47.38726],[-88.227552,47.199938],[-88.443901,46.972251],[-88.462349,46.786711],[-88.142807,46.966302],[-88.175197,46.90458],[-87.681561,46.842392],[-87.352448,46.501324],[-87.008724,46.532723],[-86.850111,46.434114],[-86.698139,46.438624],[-86.678182,46.561039],[-86.586168,46.463324],[-86.161681,46.669475],[-84.989497,46.772403],[-85.015211,46.479712],[-84.551496,46.418522],[-84.128925,46.530119],[-84.097766,46.256512],[-84.251424,46.175888],[-83.873147,45.993426],[-83.765277,46.018363],[-83.815826,46.108529],[-83.581315,46.089613],[-83.510623,45.929324],[-84.376429,45.931962],[-84.656567,46.052654],[-84.746985,45.835597],[-85.01399,46.010774],[-85.499422,46.09692],[-85.697203,45.960158],[-86.278007,45.942057],[-86.616893,45.606796],[-86.718191,45.67732],[-86.541464,45.890234],[-86.78208,45.860195],[-86.964275,45.672761],[-87.031435,45.837238],[-87.600796,45.146842],[-87.630298,44.976865],[-87.837647,44.933091],[-88.005518,44.539216],[-87.756048,44.649117],[-87.609784,44.838514],[-87.384821,44.865532],[-87.238426,45.166492],[-86.970355,45.278455],[-87.467089,44.553557],[-87.512903,44.192808],[-87.735436,43.882219],[-87.702685,43.687596],[-87.911787,43.250406],[-87.766675,42.784896],[-87.828569,42.269922],[-87.42344,41.642835],[-87.066033,41.661845],[-86.616978,41.896625],[-86.297168,42.358207],[-86.208654,42.69209],[-86.254646,43.083409],[-86.540916,43.633158],[-86.43114,43.815569],[-86.514704,44.057672],[-86.26871,44.345324],[-86.254996,44.691935],[-85.551072,45.210742],[-85.652355,44.849092],[-85.593833,44.768651],[-85.475204,44.991053],[-85.576566,44.760208],[-85.3958,44.931018],[-85.371593,45.270834],[-84.91585,45.393115],[-85.115479,45.539406],[-84.942636,45.714292],[-85.014509,45.760329],[-84.726192,45.786905],[-84.215268,45.634767],[-84.095905,45.497298],[-83.488826,45.355872],[-83.265896,45.026844],[-83.454168,45.03188],[-83.274747,44.714893],[-83.332533,44.340464],[-83.53771,44.248171],[-83.58409,44.056748],[-83.877047,43.959351],[-83.909479,43.672622],[-83.666052,43.591292],[-83.26153,43.973525],[-82.967439,44.066138],[-82.746255,43.996037],[-82.643166,43.852468],[-82.412965,42.977041],[-82.518782,42.613888],[-82.686417,42.518597],[-82.630851,42.673341],[-82.813518,42.640833],[-82.894013,42.389437],[-83.096521,42.290138],[-83.133511,42.088143],[-83.455626,41.727445],[-82.934369,41.514353],[-82.834101,41.587587],[-82.499099,41.381541],[-82.011966,41.515639],[-81.738755,41.48855],[-81.288892,41.758945],[-80.329976,42.036168],[-79.148723,42.553672],[-78.851355,42.791758],[-79.074467,43.077855],[-79.070469,43.262454],[-78.370221,43.376505],[-77.760231,43.341161],[-77.551022,43.235763],[-76.958402,43.270005],[-76.235834,43.529256],[-76.28272,43.858601],[-76.125023,43.912773],[-76.360306,44.070907],[-76.312647,44.199044],[-74.992756,44.977449],[-71.502487,45.013367],[-71.443882,45.235462],[-71.296509,45.29919],[-71.13943,45.242958],[-71.01081,45.34725],[-70.857042,45.22916],[-70.795009,45.428145],[-70.634661,45.383608],[-70.688214,45.563981],[-70.259117,45.890755],[-70.292736,46.191599],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.043947,47.427634],[-69.050334,47.256621],[-68.902425,47.178839],[-68.329879,47.36023],[-67.955669,47.199542],[-67.789461,47.062544],[-67.750422,45.917898],[-67.817892,45.693705],[-67.429716,45.583773],[-67.489464,45.282653],[-67.345585,45.126392],[-67.157919,45.161004],[-66.950569,44.814539],[-67.293403,44.599265],[-67.308538,44.707454],[-67.405492,44.594236],[-67.551133,44.621938],[-67.568159,44.531117],[-67.839896,44.558771],[-67.855108,44.419434],[-68.049334,44.33073],[-68.117746,44.475038],[-68.261708,44.484062],[-68.173608,44.328397],[-68.317588,44.225101],[-68.430946,44.298624],[-68.3791,44.430049],[-68.565161,44.39907],[-68.525302,44.227554],[-68.827197,44.31216],[-68.783679,44.473879],[-68.927452,44.448039],[-69.100863,44.104529],[-69.031878,44.079036],[-69.214205,43.935583],[-69.398455,43.971804],[-69.838689,43.70514],[-69.884066,43.778035],[-70.041351,43.738053],[-70.009869,43.859315],[-70.190014,43.771866],[-70.196911,43.565146],[-70.361214,43.52919],[-70.810069,42.909549],[-70.778671,42.693622],[-70.594014,42.63503],[-70.871382,42.546404],[-71.01568,42.326019],[-70.722269,42.207959],[-70.63848,42.081579],[-70.710034,41.999544],[-70.552941,41.929641],[-70.471552,41.761563],[-70.024734,41.787364],[-70.095595,42.032832],[-70.245385,42.063733],[-70.058531,42.040363],[-69.935952,41.809422],[-69.998071,41.54365],[-70.007011,41.671579],[-70.351634,41.634687],[-70.948431,41.409193],[-70.658659,41.543385],[-70.623652,41.707398],[-70.718739,41.73574],[-71.19302,41.457931],[-71.240709,41.619225],[-71.24071,41.474872],[-71.337695,41.448902],[-71.19564,41.67509],[-71.350057,41.727835],[-71.449318,41.687401],[-71.483295,41.371722],[-72.916827,41.282033],[-73.643478,41.002171],[-73.781369,40.794907],[-73.485365,40.946397],[-72.585327,40.997587],[-72.278789,41.158722],[-72.317238,41.088659],[-72.10216,40.991509],[-71.856214,41.070598],[-73.23914,40.6251],[-73.934512,40.545175],[-74.024543,40.709436],[-74.186027,40.646076],[-74.261889,40.464706],[-73.978282,40.440208],[-74.096906,39.76303],[-74.864458,38.94041],[-74.971995,38.94037],[-74.887167,39.158825],[-75.136548,39.179425],[-75.536431,39.460559],[-75.509342,39.685313],[-75.587147,39.651012],[-75.402035,39.066885],[-75.089473,38.797198],[-75.048939,38.451263],[-75.195382,38.093582],[-75.514921,37.799149],[-75.906734,37.114193],[-76.018645,37.31782],[-75.663095,37.961195],[-75.892686,37.916848],[-75.812913,38.058932],[-75.843862,38.144599],[-75.958786,38.135572],[-75.848473,38.20934],[-75.970514,38.233668],[-75.973876,38.36585],[-76.032044,38.216684],[-76.258189,38.318373],[-76.33636,38.492235],[-76.147158,38.63684],[-76.238685,38.735434],[-76.347998,38.686234],[-76.271575,38.851771],[-76.19343,38.821787],[-76.203638,38.928382],[-76.376031,38.848777],[-76.311766,39.035257],[-76.164004,38.99953],[-76.145174,39.092824],[-76.231765,39.018518],[-76.274741,39.164961],[-76.170588,39.331954],[-76.002408,39.367501],[-75.970337,39.557637],[-76.096072,39.536912],[-76.060988,39.447775],[-76.281374,39.304531],[-76.341443,39.354217],[-76.425281,39.205708],[-76.535885,39.211008],[-76.394358,39.01216],[-76.557535,38.744687],[-76.321499,38.03805],[-76.920778,38.291529],[-77.016371,38.445572],[-77.250172,38.382781],[-77.263599,38.512344],[-77.12634,38.6177],[-77.246704,38.635217],[-77.279633,38.339444],[-77.043526,38.400548],[-76.962311,38.214075],[-76.613939,38.148587],[-76.236725,37.889174],[-76.339892,37.655966],[-76.28037,37.613715],[-76.36232,37.610368],[-76.784618,37.869569],[-76.542666,37.616857],[-76.300144,37.561734],[-76.360474,37.51924],[-76.265056,37.481365],[-76.275552,37.309964],[-76.415167,37.402133],[-76.349489,37.273963],[-76.50364,37.233856],[-76.292344,37.126615],[-76.304272,37.001378],[-76.428869,36.969947],[-76.649869,37.220914],[-76.802511,37.198308],[-76.685614,37.198851],[-76.662558,37.045748],[-76.469914,36.882898],[-76.297663,36.968147],[-75.996252,36.922047],[-75.867044,36.550754]],[[-77.038598,38.791513],[-76.910795,38.891712],[-77.040999,38.99511],[-77.1199,38.934311],[-77.038598,38.791513]]],[[[-88.124658,30.28364],[-88.075856,30.246139],[-88.313323,30.230024],[-88.124658,30.28364]]],[[[-120.248484,33.999329],[-120.043259,34.035806],[-119.97026,33.944359],[-120.121817,33.895712],[-120.248484,33.999329]]],[[[-119.789798,34.05726],[-119.52064,34.034262],[-119.758141,33.959212],[-119.923337,34.069361],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.605534,33.030999],[-118.353504,32.821962],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.305084,33.310323],[-118.465368,33.326056],[-118.60403,33.47654],[-118.500212,33.449592]]],[[[-81.582923,24.658732],[-81.425483,24.752989],[-81.298028,24.656774],[-81.81289,24.546468],[-81.582923,24.658732]]],[[[-84.777208,29.707398],[-84.696726,29.76993],[-85.097082,29.625215],[-84.777208,29.707398]]],[[[-85.156415,29.679628],[-85.077237,29.670862],[-85.222546,29.678039],[-85.156415,29.679628]]],[[[-82.255777,26.703437],[-82.166042,26.489679],[-82.013913,26.452058],[-82.177017,26.471558],[-82.255777,26.703437]]],[[[-80.250581,25.34193],[-80.659395,24.897433],[-80.174544,25.518406],[-80.250581,25.34193]]],[[[-88.865067,29.752714],[-88.944435,29.658806],[-88.8312,29.878839],[-88.881454,30.053202],[-88.865067,29.752714]]],[[[-70.59628,41.471905],[-70.451084,41.348161],[-70.838777,41.347209],[-70.59628,41.471905]]],[[[-70.092142,41.297741],[-70.049053,41.391702],[-69.960181,41.264546],[-70.275526,41.310464],[-70.092142,41.297741]]],[[[-68.453236,44.189998],[-68.384903,44.154955],[-68.502096,44.152388],[-68.453236,44.189998]]],[[[-68.680773,44.279242],[-68.605906,44.230772],[-68.675056,44.137131],[-68.680773,44.279242]]],[[[-68.785601,44.053503],[-68.944597,44.11284],[-68.825067,44.186338],[-68.785601,44.053503]]],[[[-68.942826,44.281073],[-68.868444,44.38144],[-68.95189,44.218719],[-68.942826,44.281073]]],[[[-88.684434,48.115785],[-88.418244,48.18037],[-88.968903,47.901675],[-88.899698,47.902445],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-84.612845,45.834528],[-84.35602,45.771895],[-84.484128,45.73071],[-84.612845,45.834528]]],[[[-85.566441,45.760222],[-85.487026,45.621211],[-85.561634,45.572213],[-85.630016,45.598166],[-85.566441,45.760222]]],[[[-88.710719,30.250799],[-88.562067,30.227476],[-88.771991,30.245523],[-88.710719,30.250799]]],[[[-75.753765,35.199612],[-75.529393,35.288272],[-75.533512,35.773577],[-75.458659,35.596597],[-75.52592,35.233839],[-76.013145,35.061855],[-75.753765,35.199612]]],[[[-74.144428,40.53516],[-74.254588,40.502303],[-74.1894,40.642121],[-74.075884,40.648101],[-74.144428,40.53516]]],[[[-97.240849,26.411504],[-97.387459,26.820789],[-97.361796,27.359988],[-96.879424,28.131402],[-96.403206,28.371475],[-96.966996,27.950531],[-97.30447,27.407734],[-97.370731,26.909706],[-97.154271,26.066841],[-97.240849,26.411504]]],[[[-122.519535,48.288314],[-122.668385,48.223967],[-122.54512,48.05255],[-122.376259,48.034457],[-122.380497,47.904023],[-122.770045,48.224395],[-122.664659,48.401508],[-122.519535,48.288314]]],[[[-122.474684,47.511068],[-122.373628,47.388718],[-122.51885,47.33332],[-122.474684,47.511068]]],[[[-122.800217,48.60169],[-122.803521,48.428748],[-122.874135,48.418196],[-123.203026,48.596178],[-122.987296,48.561895],[-123.048652,48.621002],[-122.894599,48.71503],[-122.743049,48.661991],[-122.800217,48.60169]]],[[[-90.572383,46.958835],[-90.508157,46.956836],[-90.654796,46.919249],[-90.572383,46.958835]]],[[[-90.757147,47.03372],[-90.544875,47.017383],[-90.671581,46.948973],[-90.757147,47.03372]]],[[[-86.880572,45.331467],[-86.943041,45.41525],[-86.810055,45.422619],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Alabama\",\"nation\":\"USA \"}}]}","volume":"189","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-18","publicationStatus":"PW","scienceBaseUri":"58d23b90e4b0236b68f828ea","chorus":{"doi":"10.1007/s10661-017-5879-5","url":"http://dx.doi.org/10.1007/s10661-017-5879-5","publisher":"Springer Nature","authors":"Soulard Christopher E., Acevedo William, Cohen Warren B., Yang Zhiqiang, Stehman Stephen V., Taylor Janis L.","journalName":"Environmental Monitoring and Assessment","publicationDate":"3/18/2017","auditedOn":"3/20/2017","publiclyAccessibleDate":"3/18/2017"},"contributors":{"authors":[{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":685248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Acevedo, William wacevedo@usgs.gov","contributorId":2689,"corporation":false,"usgs":true,"family":"Acevedo","given":"William","email":"wacevedo@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":685249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cohen, Warren B.","contributorId":100093,"corporation":false,"usgs":true,"family":"Cohen","given":"Warren","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":685250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, Zhiqiang","contributorId":189584,"corporation":false,"usgs":false,"family":"Yang","given":"Zhiqiang","email":"","affiliations":[],"preferred":false,"id":685280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stehman, Stephen V.","contributorId":77283,"corporation":false,"usgs":true,"family":"Stehman","given":"Stephen","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":685252,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, Janis L. 0000-0002-9418-5215 jltaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-9418-5215","contributorId":147371,"corporation":false,"usgs":true,"family":"Taylor","given":"Janis","email":"jltaylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":685253,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70185352,"text":"70185352 - 2017 - Acoustic telemetry and fisheries management","interactions":[],"lastModifiedDate":"2017-06-01T10:39:19","indexId":"70185352","displayToPublicDate":"2017-03-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Acoustic telemetry and fisheries management","docAbstract":"This paper reviews the use of acoustic telemetry as a tool for addressing issues in fisheries management, and serves as the lead to the special Feature Issue of Ecological Applications titled “Acoustic Telemetry and Fisheries Management”. Specifically, we provide an overview of the ways in which acoustic telemetry can be used to inform issues central to the ecology, conservation, and management of exploited and/or imperiled fish species. Despite great strides in this area in recent years, there are comparatively few examples where data have been applied directly to influence fisheries management and policy. We review the literature on this issue, identify the strengths and weaknesses of work done to date, and highlight knowledge gaps and difficulties in applying empirical fish telemetry studies to fisheries policy and practice. We then highlight the key areas of management and policy addressed, as well as the challenges that needed to be overcome to do this. We conclude with a set of recommendations about how researchers can, in consultation with stock assessment scientists and managers, formulate testable scientific questions to address and design future studies to generate data that can be used in a meaningful way by fisheries management and conservation practitioners. We also urge the involvement of relevant stakeholders (managers, fishers, conservation societies, etc.) early on in the process (i.e. in the co-creation of research projects), so that all priority questions and issues can be addressed effectively.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/eap.1533","usgsCitation":"Crossin, G.T., Heupel, M.R., Holbrook, C., Hussey, N.E., Lowerre-Barbieri, S.K., Nguyen, V., Raby, G., and Cooke, S., 2017, Acoustic telemetry and fisheries management: Ecological Applications, v. 27, no. 4, p. 1031-1049, https://doi.org/10.1002/eap.1533.","productDescription":"19 p.","startPage":"1031","endPage":"1049","ipdsId":"IP-080693","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":337915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-02","publicationStatus":"PW","scienceBaseUri":"58d23b8fe4b0236b68f828e8","contributors":{"authors":[{"text":"Crossin, Glenn T.","contributorId":189588,"corporation":false,"usgs":false,"family":"Crossin","given":"Glenn","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":685302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heupel, Michelle R.","contributorId":189589,"corporation":false,"usgs":false,"family":"Heupel","given":"Michelle","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":685303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":685283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hussey, Nigel E.","contributorId":189590,"corporation":false,"usgs":false,"family":"Hussey","given":"Nigel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":685304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowerre-Barbieri, Susan K.","contributorId":189591,"corporation":false,"usgs":false,"family":"Lowerre-Barbieri","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":685287,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nguyen, Vivian M.","contributorId":166922,"corporation":false,"usgs":false,"family":"Nguyen","given":"Vivian M.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":685288,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raby, Graham D.","contributorId":189592,"corporation":false,"usgs":false,"family":"Raby","given":"Graham D.","affiliations":[],"preferred":false,"id":685305,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":685289,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70185288,"text":"70185288 - 2017 - Effects of internal phosphorus loadings and food-web structure on the recovery of a deep lake from eutrophication","interactions":[],"lastModifiedDate":"2017-03-20T08:25:20","indexId":"70185288","displayToPublicDate":"2017-03-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Effects of internal phosphorus loadings and food-web structure on the recovery of a deep lake from eutrophication","docAbstract":"We used monitoring data from Lake Lugano (Switzerland and Italy) to assess key ecosystem responses to three decades of nutrient management (1983–2014). We investigated whether reductions in external phosphorus loadings (Lext) caused declines in lake phosphorus concentrations (P) and phytoplankton biomass (Chl a), as assumed by the predictive models that underpinned the management plan. Additionally, we examined the hypothesis that deep lakes respond quickly to Lext reductions. During the study period, nutrient management reduced Lext by approximately a half. However, the effects of such reduction on P and Chl a were complex. Far from the scenarios predicted by classic nutrient-management approaches, the responses of P and Chl a did not only reflect changes in Lext, but also variation in internal P loadings (Lint) and food-web structure. In turn, Lint varied depending on basin morphometry and climatic effects, whereas food-web structure varied due to apparently stochastic events of colonization and near-extinction of key species. Our results highlight the complexity of the trajectory of deep-lake ecosystems undergoing nutrient management. From an applied standpoint, they also suggest that [i] the recovery of warm monomictic lakes may be slower than expected due to the development of Lint, and that [ii] classic P and Chl a models based on Lext may be useful in nutrient management programs only if their predictions are used as starting points within adaptive frameworks.
","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Ann Arbor","doi":"10.1016/j.jglr.2017.01.008","usgsCitation":"Lepori, F., and Roberts, J., 2017, Effects of internal phosphorus loadings and food-web structure on the recovery of a deep lake from eutrophication: Journal of Great Lakes Research, v. 43, no. 2, p. 255-264, https://doi.org/10.1016/j.jglr.2017.01.008.","productDescription":"10 p.","startPage":"255","endPage":"264","ipdsId":"IP-076985","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":337833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy, Switzerland","otherGeospatial":"Lake Lugano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 8.828201293945312,\n 45.8876184503559\n ],\n [\n 9.142684936523436,\n 45.8876184503559\n ],\n [\n 9.142684936523436,\n 46.056079276178885\n ],\n [\n 8.828201293945312,\n 46.056079276178885\n ],\n [\n 8.828201293945312,\n 45.8876184503559\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58d0ea1ae4b0236b68f67365","contributors":{"authors":[{"text":"Lepori, Fabio","contributorId":166767,"corporation":false,"usgs":false,"family":"Lepori","given":"Fabio","email":"","affiliations":[{"id":24502,"text":"Institute of Earth Sciences, University of Applied Sciences and Arts of Southern Switzerland","active":true,"usgs":false}],"preferred":false,"id":685030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, James 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":685029,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70185295,"text":"70185295 - 2017 - Pufferfish mortality associated with novel polar marine toxins in Hawaii","interactions":[],"lastModifiedDate":"2017-07-21T14:39:01","indexId":"70185295","displayToPublicDate":"2017-03-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Pufferfish mortality associated with novel polar marine toxins in Hawaii","docAbstract":"Fish die-offs are important signals in tropical marine ecosystems. In 2010, a mass mortality of pufferfish in Hawaii (USA) was dominated by Arothron hispidus showing aberrant neurological behaviors. Using pathology, toxinology, and field surveys, we implicated a series of novel, polar, marine toxins as a likely cause of this mass mortality. Our findings are striking in that (1) a marine toxin was associated with a kill of a fish species that is itself toxic; (2) we provide a plausible mechanism to explain clinical signs of affected fish; and (3) this epizootic likely depleted puffer populations. Whilst our data are compelling, we did not synthesize the toxin de novo, and we were unable to categorically prove that the polar toxins caused mortality or that they were metabolites of an undefined parent compound. However, our approach does provide a template for marine fish kill investigations associated with marine toxins and inherent limitations of existing methods. Our study also highlights the need for more rapid and cost-effective tools to identify new marine toxins, particularly small, highly polar molecules.
","language":"English","publisher":"Inter-Research Science Center","doi":"10.3354/dao03096","usgsCitation":"Work, T.M., Moeller, P.D., Beauchesne, K.R., Dagenais, J., Breeden, R., Rameyer, R., Walsh, W.A., Abecassis, M., Kobayashi, D.R., Conway, C.M., and Winton, J., 2017, Pufferfish mortality associated with novel polar marine toxins in Hawaii: Diseases of Aquatic Organisms, v. 123, no. 2, p. 87-99, https://doi.org/10.3354/dao03096.","productDescription":"13 p.","startPage":"87","endPage":"99","ipdsId":"IP-078060","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":470000,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao03096","text":"Publisher Index Page"},{"id":438414,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SQ8XM8","text":"USGS data release","linkHelpText":"Pufferfish mortality data"},{"id":337836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344206,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7SQ8XM8","text":"Puffer Mortality Data"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -161.026611328125,\n 18.40665471391907\n ],\n [\n -154.27001953125,\n 18.40665471391907\n ],\n [\n -154.27001953125,\n 22.63429269379353\n ],\n [\n -161.026611328125,\n 22.63429269379353\n ],\n [\n -161.026611328125,\n 18.40665471391907\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58d0ea19e4b0236b68f67363","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":685052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moeller, Perer D. R.","contributorId":189518,"corporation":false,"usgs":false,"family":"Moeller","given":"Perer","email":"","middleInitial":"D. R.","affiliations":[],"preferred":false,"id":685053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beauchesne, Kevin R.","contributorId":189519,"corporation":false,"usgs":false,"family":"Beauchesne","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":685054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dagenais, Julie 0000-0001-5560-9946 jdagenais@usgs.gov","orcid":"https://orcid.org/0000-0001-5560-9946","contributorId":5955,"corporation":false,"usgs":true,"family":"Dagenais","given":"Julie","email":"jdagenais@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":685055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Breeden, Renee 0000-0001-5910-3627 rbreeden@usgs.gov","orcid":"https://orcid.org/0000-0001-5910-3627","contributorId":149679,"corporation":false,"usgs":true,"family":"Breeden","given":"Renee","email":"rbreeden@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":685056,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rameyer, Robert 0000-0002-2145-1746 bob_rameyer@usgs.gov","orcid":"https://orcid.org/0000-0002-2145-1746","contributorId":150128,"corporation":false,"usgs":true,"family":"Rameyer","given":"Robert","email":"bob_rameyer@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":685057,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walsh, Willliam A.","contributorId":189520,"corporation":false,"usgs":false,"family":"Walsh","given":"Willliam","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":685058,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Abecassis, Melanie","contributorId":189521,"corporation":false,"usgs":false,"family":"Abecassis","given":"Melanie","email":"","affiliations":[],"preferred":false,"id":685059,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kobayashi, Donald R.","contributorId":189522,"corporation":false,"usgs":false,"family":"Kobayashi","given":"Donald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":685060,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Conway, Carla M. 0000-0002-3851-3616 cmconway@usgs.gov","orcid":"https://orcid.org/0000-0002-3851-3616","contributorId":2946,"corporation":false,"usgs":true,"family":"Conway","given":"Carla","email":"cmconway@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":685061,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Winton, James 0000-0002-3505-5509 jwinton@usgs.gov","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":179330,"corporation":false,"usgs":true,"family":"Winton","given":"James","email":"jwinton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":685062,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70209109,"text":"70209109 - 2017 - Wind River Subbasin Restoration, annual report of U.S. Geological Survey activities: Parr monitoring and instream passive integrated transponder detection, January 1, 2015 – December 31, 2015","interactions":[],"lastModifiedDate":"2020-03-18T07:31:50","indexId":"70209109","displayToPublicDate":"2017-03-17T07:35:04","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Wind River Subbasin Restoration, Annual Report of U.S. Geological Survey Activities: Parr Monitoring and Instream Passive Integrated Transponder Detection, January 1, 2015 – December 31, 2015","title":"Wind River Subbasin Restoration, annual report of U.S. Geological Survey activities: Parr monitoring and instream passive integrated transponder detection, January 1, 2015 – December 31, 2015","docAbstract":"We used Passive Integrated Transponder (PIT)-tagging and a series of instream PIT-tag\ninterrogation systems (PTIS) to investigate life-histories, populations, and efficacy of habitat\nrestoration actions for steelhead Oncorhynchus mykiss in the Wind River subbasin, WA. Our\ntagging focused on parr in headwater areas of the subbasin and our PTISs provide information on movement of these parr, which is primarily, but not exclusively downstream. The PTISs also\nprovide data on life-history aspects of other steelhead life-stages. The Wind River subbasin in\nsouthwest Washington State provides habitat for a population of wild Lower Columbia River\nsteelhead and is an excellent watershed for long-term studies of population dynamics and\nresponses to restoration of this wild population. Much data on steelhead population metrics have\nbeen gathered from the Wind River providing information on habitat restoration actions and\nongoing research into steelhead life histories. Additionally, the Wind River is an excellent\ncontrol watershed of an exclusivly wild steelhead population to which basins with hatchery\nprograms can compare. No hatchery steelhead have been planted in the Wind River subbasin\nsince 1994, and hatchery adults are estimated to be less than one percent of adults in any year\n(pers comm. Thomas Buehrens, Washington Department of Fish and Wildlife). Numerous\nrestoration actions have been implemented in the subbasin, including the removal of Hemlock\nDam on Trout Creek in 2009. Data from our study, and companion work by Washington\nDepartment of Fish and Wildlife (WDFW), will contribute to Bonneville Power Administration’s\n(BPA) Research Monitoring and Evaluation (RM&E) Program Strategy of Fish Population\nStatus Monitoring (www.cbfish.org/ProgramStrategy.mvc/ViewProgramStrategySummary/1),\nspecifically the sub-strategies of: 1) Assessing the Status and Trends of Diversity of Natural\nOrigin Fish Populations and to uncertainties research regarding differing life histories of a wild\nsteelhead population, 2) Assessing the Status and Trend of Adult Natural Origin Fish\nPopulations, and 3) Monitoring and Evaluating the Effectiveness of Tributary Habitat Actions\nRelative to Environmental, Physical, or Biological Performance Objectives.\n\nDuring summer 2015, we sampled and PIT-tagged age-0 and age-1 steelhead parr in\nheadwater areas of the Wind River subbasin to characterize population traits and investigate\nvariable life-histories, including growth and parr movement downstream prior to smolting.\nThroughout the year, we maintained a series of instream PTISs to monitor movement of tagged\nsteelhead parr, smolts, and adults. Detections at the instream PTISs showed trends of parr\n8\nemigration during summer and fall, in addition to the expected movement of parr and smolts in\nspring. These data are increasing our understanding of varied life histories of juvenile steelhead;\npaired with other steelhead population work in the subbasin we hope to better understand the\nfactors influencing parr movements. Monitoring of PIT-tagged fish over multiple years is\nproviding information on contribution of various life-history strategies to smolt production and\nadult returns, as well as identifying factors influencing parr movement.\n\nMovements of PIT-tagged adult steelhead were also monitored with our instream PTISs.\nThese data have provided information on timing of adult movements to various parts of the\nwatershed, which allows us to assess adult returns to tributary watersheds within the Wind River\nsubbasin. Determination of adult use of tributary watersheds is providing data to contribute to\nevaluation of the efficacy of the removal of Hemlock Dam on Trout Creek. Hemlock Dam,\nlocated at rkm 2.0 of Trout Creek was removed in summer 2009 and had contributed to\nhydrologic impairment of Trout Creek.\n\nEvaluating restoration efforts is of interest to many managers and agencies so that\nfunding and time are allocated for best results. The evaluation of various life-his","language":"English","publisher":"Bonneville Power Administration","collaboration":"Bonneville Power Administration","usgsCitation":"Jezorek, I., and Connolly, P., 2017, Wind River Subbasin Restoration, annual report of U.S. Geological Survey activities: Parr monitoring and instream passive integrated transponder detection, January 1, 2015 – December 31, 2015, 66 p.","productDescription":"66 p.","ipdsId":"IP-081196","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":373306,"type":{"id":15,"text":"Index Page"},"url":"https://www.cbfish.org/Document.mvc/Viewer/P151177"},{"id":373333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River subbasin ","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.963568,45.751448 ], [ -121.963568,45.969903 ], [ -121.787086,45.969903 ], [ -121.787086,45.751448 ], [ -121.963568,45.751448 ] ] ] } } ] }","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jezorek, Ian 0000-0002-3842-3485","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":217811,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Patrick 0000-0003-3795-7490 pconnolly@usgs.gov","orcid":"https://orcid.org/0000-0003-3795-7490","contributorId":223402,"corporation":false,"usgs":true,"family":"Connolly","given":"Patrick","email":"pconnolly@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784959,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70185258,"text":"70185258 - 2017 - Predicting the impacts of Mississippi River diversions and sea-level rise on spatial patterns of eastern oyster growth rate and production","interactions":[],"lastModifiedDate":"2017-03-17T11:58:47","indexId":"70185258","displayToPublicDate":"2017-03-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the impacts of Mississippi River diversions and sea-level rise on spatial patterns of eastern oyster growth rate and production","docAbstract":"There remains much debate regarding the perceived tradeoffs of using freshwater and sediment diversions for coastal restoration in terms of balancing the need for wetland restoration versus preserving eastern oyster (Crassostrea virginica) production. Further complicating the issue, climate change-induced sea-level rise (SLR) and land subsidence are also expected to affect estuarine water quality. In this study, we developed a process-based numerical modeling system that couples hydrodynamic, water quality, and oyster population dynamics. We selected Breton Sound Estuary (BSE) (∼2740 km2) in the eastern Mississippi River Deltaic Plain since it is home to several of the largest public oyster seed grounds and private leases for the Gulf coast. The coupled oyster population model was calibrated and validated against field observed oyster growth data. We predicted the responses of oyster population in BSE to small- (142 m3 s−1) and large-scale (7080 m3 s−1) river diversions at the Caernarvon Freshwater Diversion structure planned in the 2012 Coastal Master Plan (Louisiana) under low (0.38 m) and high (1.44 m) relative sea-level rise (RSLR = eustatic SLR + subsidence) compared to a baseline condition (Year 2009). Model results showed that the large-scale diversion had a stronger negative impact on oyster population dynamics via freshening of the entire estuary, resulting in reduced oyster growth rate and production than RSLR. Under the large-scale diversion, areas with optimal oyster growth rates (>15 mg ash-free dry weight (AFDW) oyster−1 wk−1) and production (>500 g AFDW m−2 yr−1) would shift seaward to the southeastern edge of the estuary, turning the estuary into a very low oyster production system. RSLR however played a greater role than the small-scale diversion on the magnitude and spatial pattern of oyster growth rate and production. RSLR would result in an overall estuary-wide decrease in oyster growth rate and production as a consequence of decreased salinities in the middle and lower estuary because rising sea level likely causes increased stage and overbank flow downstream along the lower Mississippi River.
","language":"English","publisher":"International Society for Ecological Modelling","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolmodel.2017.02.028","usgsCitation":"Wang, H., Chen, Q., La Peyre, M., Hu, K., and La Peyre, J.F., 2017, Predicting the impacts of Mississippi River diversions and sea-level rise on spatial patterns of eastern oyster growth rate and production: Ecological Modelling, v. 352, p. 40-53, https://doi.org/10.1016/j.ecolmodel.2017.02.028.","productDescription":"14 p.","startPage":"40","endPage":"53","ipdsId":"IP-079318","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470003,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2017.02.028","text":"Publisher Index Page"},{"id":337805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Breton Sound Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.0384521484375,\n 29.262440796698915\n ],\n [\n -89.03594970703125,\n 29.262440796698915\n ],\n [\n -89.03594970703125,\n 29.92637417863576\n ],\n [\n -90.0384521484375,\n 29.92637417863576\n ],\n [\n -90.0384521484375,\n 29.262440796698915\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"352","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ccf59be4b0849ce97f0cda","contributors":{"authors":[{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":140432,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":684909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Q. 0000-0002-6540-8758","orcid":"https://orcid.org/0000-0002-6540-8758","contributorId":56532,"corporation":false,"usgs":false,"family":"Chen","given":"Q.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":true,"id":684910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hu, Kelin","contributorId":177218,"corporation":false,"usgs":false,"family":"Hu","given":"Kelin","email":"","affiliations":[],"preferred":false,"id":684912,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Peyre, Jerome F.","contributorId":34697,"corporation":false,"usgs":true,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":684913,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70180341,"text":"fs20173002 - 2017 - The U.S. Geological Survey Monthly Water Balance Model Futures Portal","interactions":[],"lastModifiedDate":"2017-03-16T12:27:20","indexId":"fs20173002","displayToPublicDate":"2017-03-16T11:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3002","title":"The U.S. Geological Survey Monthly Water Balance Model Futures Portal","docAbstract":"Simulations of future climate suggest profiles of temperature and precipitation may differ significantly from those in the past. These changes in climate will likely lead to changes in the hydrologic cycle. As such, natural resource managers are in need of tools that can provide estimates of key components of the hydrologic cycle, uncertainty associated with the estimates, and limitations associated with the climate forcing data used to estimate these components. To help address this need, the U.S. Geological Survey Monthly Water Balance Model Futures Portal (https://my.usgs.gov/mows/) provides a user friendly interface to deliver hydrologic and meteorological variables for monthly historic and potential future climatic conditions across the continental United States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173002","collaboration":"Prepared in cooperation with the U.S. Department of the Interior South Central Climate Science Center and the U.S. Environmental Protection Agency","usgsCitation":"Bock, A.R., 2017, The U.S. Geological Survey Monthly Water Balance Model Futures Portal: U.S. Geological Survey Fact Sheet 2017–3002, 6 p., https://doi.org/10.3133/fs20173002.","productDescription":"6 p.","onlineOnly":"Y","ipdsId":"IP-073900","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":336957,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3002/fs20173002.pdf","text":"Report","size":"1.63 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3002"},{"id":336153,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3002/coverthb2.jpg"}],"contact":"Director, USGS Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS 415
Denver, CO 80225-0046
A comprehensive mapping technology was developed utilizing standard image processing and available GIS procedures to automate shoreline identification and mapping from 2 m synthetic aperture radar (SAR) HH amplitude data. The development used four NASA Uninhabited Aerial Vehicle SAR (UAVSAR) data collections between summer 2009 and 2012 and a fall 2012 collection of wetlands dominantly fronted by vegetated shorelines along the Mississippi River Delta that are beset by severe storms, toxic releases, and relative sea-level rise. In comparison to shorelines interpreted from 0.3 m and 1 m orthophotography, the automated GIS 10 m alongshore sampling found SAR shoreline mapping accuracy to be ±2 m, well within the lower range of reported shoreline mapping accuracies. The high comparability was obtained even though water levels differed between the SAR and photography image pairs and included all shorelines regardless of complexity. The SAR mapping technology is highly repeatable and extendable to other SAR instruments with similar operational functionality.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.83.3.237","usgsCitation":"Rangoonwala, A., Jones, C., Chi, Z., and Ramsey, E.W., 2017, Operational shoreline mapping with high spatial resolution radar and geographic processing: Photogrammetric Engineering and Remote Sensing, v. 83, no. 3, p. 237-246, https://doi.org/10.14358/PERS.83.3.237.","productDescription":"10 p.","startPage":"237","endPage":"246","ipdsId":"IP-074986","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488560,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.83.3.237","text":"Publisher Index Page"},{"id":337621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52c6e4b0849ce97c867e","contributors":{"authors":[{"text":"Rangoonwala, Amina 0000-0002-0556-0598 rangoonwalaa@usgs.gov","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":3455,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","email":"rangoonwalaa@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":684481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Cathleen E","contributorId":189314,"corporation":false,"usgs":false,"family":"Jones","given":"Cathleen E","affiliations":[],"preferred":false,"id":684482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chi, Zhaohui","contributorId":189315,"corporation":false,"usgs":false,"family":"Chi","given":"Zhaohui","email":"","affiliations":[],"preferred":false,"id":684483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramsey, Elijah W. III 0000-0002-4518-5796 ramseye@usgs.gov","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":2883,"corporation":false,"usgs":true,"family":"Ramsey","given":"Elijah","suffix":"III","email":"ramseye@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":684484,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185132,"text":"70185132 - 2017 - Functional traits and ecological affinities of riparian plants along the Colorado River in Grand Canyon","interactions":[],"lastModifiedDate":"2020-12-17T17:45:03.871429","indexId":"70185132","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Functional traits and ecological affinities of riparian plants along the Colorado River in Grand Canyon","docAbstract":"Trait-based approaches to vegetation analyses are becoming more prevalent in studies of riparian vegetation dynamics, including responses to flow regulation, groundwater pumping, and climate change. These analyses require species trait data compiled from the literature and floras or original field measurements. Gathering such data makes trait-based research time intensive at best and impracticable in some cases. To support trait-based analysis of vegetation along the Colorado River through Grand Canyon, a data set of 20 biological traits and ecological affinities for 179 species occurring in that study area was compiled. This diverse flora shares species with many riparian areas in the western USA and includes species that occur across a wide moisture gradient. Data were compiled from published scientific papers, unpublished reports, plant fact sheets, existing trait databases, regional floras, and plant guides. Data for ordinal environmental tolerances were more readily available than were quantitative traits. More publicly available data are needed for traits of both common and rare southwestern U.S. plant species to facilitate comprehensive, trait-based research. The trait data set is free to use and can be downloaded from ScienceBase: https://www.sciencebase.gov/catalog/item/58af41dee4b01ccd54f9f2ff and https://dx.doi.org/10.5066/F7QV3JN1
","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.077.0104","usgsCitation":"Palmquist, E.C., Ralston, B.E., Daniel, S., Merritt, D., Shafroth, P.B., and Scott, J., 2017, Functional traits and ecological affinities of riparian plants along the Colorado River in Grand Canyon: Western North American Naturalist, v. 77, no. 1, p. 22-30, https://doi.org/10.3398/064.077.0104.","productDescription":"9 p.","startPage":"22","endPage":"30","ipdsId":"IP-070768","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488970,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss1/3","text":"External Repository"},{"id":438415,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QV3JN1","text":"USGS data release","linkHelpText":"Southwestern Riparian Plant Trait Matrix, Colorado River, Grand Canyon, 2014 - 2016Data"},{"id":337615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.0545654296875,\n 35.576916524038616\n ],\n [\n -111.2200927734375,\n 35.576916524038616\n ],\n [\n -111.2200927734375,\n 37.00693943418586\n ],\n [\n -114.0545654296875,\n 37.00693943418586\n ],\n [\n -114.0545654296875,\n 35.576916524038616\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52c7e4b0849ce97c8680","contributors":{"authors":[{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":684464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ralston, Barbara E. 0000-0001-9991-8994 bralston@usgs.gov","orcid":"https://orcid.org/0000-0001-9991-8994","contributorId":606,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara","email":"bralston@usgs.gov","middleInitial":"E.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":false,"id":684465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniel, Sarr.","contributorId":189307,"corporation":false,"usgs":false,"family":"Daniel","given":"Sarr.","email":"","affiliations":[],"preferred":false,"id":684466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merritt, David","contributorId":189308,"corporation":false,"usgs":false,"family":"Merritt","given":"David","affiliations":[],"preferred":false,"id":684467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafroth, Patrick B","contributorId":189309,"corporation":false,"usgs":false,"family":"Shafroth","given":"Patrick","email":"","middleInitial":"B","affiliations":[],"preferred":false,"id":684468,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, Julian","contributorId":61764,"corporation":false,"usgs":false,"family":"Scott","given":"Julian","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":684469,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70185114,"text":"70185114 - 2017 - Effects of food web changes on Mysis diluviana diet in Lake Ontario","interactions":[],"lastModifiedDate":"2017-09-11T12:58:00","indexId":"70185114","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of food web changes on Mysis diluviana diet in Lake Ontario","title":"Effects of food web changes on Mysis diluviana diet in Lake Ontario","docAbstract":"Mysids are important benthic-pelagic omnivores in many deep-lake food webs, yet quantitative data on their diet are limited. We explored the trophic role of Mysis diluviana in offshore Lake Ontario using samples collected in May, July, and September 2013 with a focus on seasonal and ontogenetic patterns in herbivory and zooplanktivory using two approaches. We hypothesized that Mysis diet in 2013 differs from the last investigation in 1995 in response to changes in pelagic prey over 1995 to 2013. Gut fluorescence indicated high grazing by adult and juvenile Mysis in May 2013. In July, smaller mysids were more herbivorous than larger individuals, a pattern that was less pronounced in September. Microscopic gut analysis showed copepods, including Limnocalanus, were common in diets of both size groups in May. In July, mainly cladocerans were consumed, including Cercopagis pengoi which represents a change from a past investigation that preceded Cercopagis invasion in the lake. Our results are consistent with earlier observations of a larger proportion of algae in mysid diets in spring, transitioning to relatively more zooplanktivory and use of cladocerans in the summer and fall. Higher chlorophyll content in small mysids in July than in September may be associated with the presence of a deep chlorophyll layer in July that had largely dissipated by September. Overall, Mysis in Lake Ontario continues to be a generalist omnivore, incorporating new prey items and exhibiting higher herbivory in spring.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.02.003","usgsCitation":"O'Malley, B., Rudstam, L.G., Watkins, J.M., Holda, T., and Weidel, B., 2017, Effects of food web changes on Mysis diluviana diet in Lake Ontario: Journal of Great Lakes Research, v. 43, no. 5, p. 813-822, https://doi.org/10.1016/j.jglr.2017.02.003.","productDescription":"10 p.","startPage":"813","endPage":"822","ipdsId":"IP-078124","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470010,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2017.02.003","text":"Publisher Index Page"},{"id":337591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.9530029296875,\n 43.20917969039356\n ],\n [\n -76.102294921875,\n 43.20917969039356\n ],\n [\n -76.102294921875,\n 44.19795903948531\n ],\n [\n -79.9530029296875,\n 44.19795903948531\n ],\n [\n -79.9530029296875,\n 43.20917969039356\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52c8e4b0849ce97c8686","contributors":{"authors":[{"text":"O'Malley, Brian P.","contributorId":189285,"corporation":false,"usgs":false,"family":"O'Malley","given":"Brian P.","affiliations":[],"preferred":false,"id":684393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":684394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watkins, James M.","contributorId":189286,"corporation":false,"usgs":false,"family":"Watkins","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holda, Toby J.","contributorId":189287,"corporation":false,"usgs":false,"family":"Holda","given":"Toby J.","affiliations":[],"preferred":false,"id":684396,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":684392,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70184968,"text":"70184968 - 2017 - Citizen science can improve conservation science, natural resource management, and environmental protection","interactions":[],"lastModifiedDate":"2017-07-12T15:31:14","indexId":"70184968","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Citizen science can improve conservation science, natural resource management, and environmental protection","docAbstract":"Citizen science has advanced science for hundreds of years, contributed to many peer-reviewed articles, and informed land management decisions and policies across the United States. Over the last 10 years, citizen science has grown immensely in the United States and many other countries. Here, we show how citizen science is a powerful tool for tackling many of the challenges faced in the field of conservation biology. We describe the two interwoven paths by which citizen science can improve conservation efforts, natural resource management, and environmental protection. The first path includes building scientific knowledge, while the other path involves informing policy and encouraging public action. We explore how citizen science is currently used and describe the investments needed to create a citizen science program. We find that:
Measuring post-fire effects at landscape scales is critical to an ecological understanding of wildfire effects. Predominantly this is accomplished with either multi-spectral remote sensing data or through ground-based field sampling plots. While these methods are important, field data is usually limited to opportunistic post-fire observations, and spectral data often lacks validation with specific variables of change. Additional uncertainty remains regarding how best to account for environmental variables influencing fire effects (e.g., weather) for which observational data cannot easily be acquired, and whether pre-fire agents of change such as bark beetle and timber harvest impact model accuracy. This study quantifies wildfire effects by correlating changes in forest structure derived from multi-temporal Light Detection and Ranging (LiDAR) acquisitions to multi-temporal spectral changes captured by the Landsat Thematic Mapper and Operational Land Imager for the 2012 Pole Creek Fire in central Oregon. Spatial regression modeling was assessed as a methodology to account for spatial autocorrelation, and model consistency was quantified across areas impacted by pre-fire mountain pine beetle and timber harvest. The strongest relationship (pseudo-r2 = 0.86, p < 0.0001) was observed between the ratio of shortwave infrared and near infrared reflectance (d74) and LiDAR-derived estimate of canopy cover change. Relationships between percentage of LiDAR returns in forest strata and spectral indices generally increased in strength with strata height. Structural measurements made closer to the ground were not well correlated. The spatial regression approach improved all relationships, demonstrating its utility, but model performance declined across pre-fire agents of change, suggesting that such studies should stratify by pre-fire forest condition. This study establishes that spectral indices such as d74 and dNBR are most sensitive to wildfire-caused structural changes such as reduction in canopy cover and perform best when that structure has not been reduced pre-fire.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.12.022","usgsCitation":"McCarley, T.R., Kolden, C.A., Vaillant, N.M., Hudak, A.T., Smith, A., Wing, B.M., Kellogg, B., and Kreitler, J.R., 2017, Multi-temporal LiDAR and Landsat quantification of fire-induced changes to forest structure: Remote Sensing of Environment, v. 191, p. 419-432, https://doi.org/10.1016/j.rse.2016.12.022.","productDescription":"14 p.","startPage":"419","endPage":"432","ipdsId":"IP-076180","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":470007,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2016.12.022","text":"Publisher Index Page"},{"id":346371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Pole Creek Fire","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.75,\n 44.0833\n ],\n [\n -121.5,\n 44.0833\n ],\n [\n -121.5,\n 44.25\n ],\n [\n -121.75,\n 44.25\n ],\n [\n -121.75,\n 44.0833\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"191","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d4a1a9e4b05fe04cc4e0ff","contributors":{"authors":[{"text":"McCarley, T. Ryan","contributorId":196908,"corporation":false,"usgs":false,"family":"McCarley","given":"T.","email":"","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":711897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolden, Crystal A.","contributorId":196909,"corporation":false,"usgs":false,"family":"Kolden","given":"Crystal","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":711898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vaillant, Nicole M.","contributorId":196237,"corporation":false,"usgs":false,"family":"Vaillant","given":"Nicole","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":711899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hudak, Andrew T.","contributorId":196022,"corporation":false,"usgs":false,"family":"Hudak","given":"Andrew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":711900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Alistair","contributorId":196910,"corporation":false,"usgs":false,"family":"Smith","given":"Alistair","email":"","affiliations":[],"preferred":false,"id":711901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wing, Brian M.","contributorId":196911,"corporation":false,"usgs":false,"family":"Wing","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":711902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kellogg, Bryce","contributorId":196912,"corporation":false,"usgs":false,"family":"Kellogg","given":"Bryce","email":"","affiliations":[],"preferred":false,"id":711903,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":711896,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70189771,"text":"70189771 - 2017 - Matching seed to site by climate similarity: techniques to prioritize plant materials development and use in restoration","interactions":[],"lastModifiedDate":"2017-07-25T12:42:20","indexId":"70189771","displayToPublicDate":"2017-03-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Matching seed to site by climate similarity: techniques to prioritize plant materials development and use in restoration","docAbstract":"Land management agencies are increasing the use of native plant materials for vegetation treatments to restore ecosystem function and maintain natural ecological integrity. This shift toward the use of natives has highlighted a need to increase the diversity of materials available. A key problem is agreeing on how many, and which, new accessions should be developed. Here we describe new methods that address this problem. Our methods use climate data to calculate a climate similarity index between two points in a defined extent. This index can be used to predict relative performance of available accessions at a target site. In addition, the index can be used in combination with standard cluster analysis algorithms to quantify and maximize climate coverage (mean climate similarity), given a modeled range extent and a specified number of accessions. We demonstrate the utility of this latter feature by applying it to the extents of 11 western North American species with proven or potential use in restoration. First, a species-specific seed transfer map can be readily generated for a species by predicting performance for accessions currently available; this map can be readily updated to accommodate new accessions. Next, the increase in climate coverage achieved by adding successive accessions can be explored, yielding information that managers can use to balance ecological and economic considerations in determining how many accessions to develop. This approach identifies sampling sites, referred to as climate centers, which contribute unique, complementary, climate coverage to accessions on hand, thus providing explicit sampling guidance for both germplasm preservation and research. We examine how these and other features of our approach add to existing methods used to guide plant materials development and use. Finally, we discuss how these new methods provide a framework that could be used to coordinate native plant materials development, evaluation, and use across agencies, regions, and research groups.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1505","usgsCitation":"Doherty, K., Butterfield, B.J., and Wood, T.E., 2017, Matching seed to site by climate similarity: techniques to prioritize plant materials development and use in restoration: Ecological Applications, v. 27, no. 3, p. 1010-1023, https://doi.org/10.1002/eap.1505.","productDescription":"14 p.","startPage":"1010","endPage":"1023","onlineOnly":"N","ipdsId":"IP-077215","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":344294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-21","publicationStatus":"PW","scienceBaseUri":"597858b5e4b0ec1a488a0910","contributors":{"authors":[{"text":"Doherty, Kyle 0000-0002-3742-7839 kdoherty@usgs.gov","orcid":"https://orcid.org/0000-0002-3742-7839","contributorId":166770,"corporation":false,"usgs":true,"family":"Doherty","given":"Kyle","email":"kdoherty@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":706297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":706298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Troy E. 0000-0002-1533-5714 twood@usgs.gov","orcid":"https://orcid.org/0000-0002-1533-5714","contributorId":4023,"corporation":false,"usgs":true,"family":"Wood","given":"Troy","email":"twood@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":706296,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185066,"text":"70185066 - 2017 - Similarities and differences in occurrence and temporal fluctuations in glyphosate and atrazine in small Midwestern streams (USA) during the 2013 growing season","interactions":[],"lastModifiedDate":"2018-09-25T09:12:29","indexId":"70185066","displayToPublicDate":"2017-03-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Similarities and differences in occurrence and temporal fluctuations in glyphosate and atrazine in small Midwestern streams (USA) during the 2013 growing season","docAbstract":"Glyphosate and atrazine are the most intensively used herbicides in the United States. Although there is abundant spatial and temporal information on atrazine occurrence at regional scales, there are far fewer data for glyphosate, and studies that compare the two herbicides are rare. We investigated temporal patterns in glyphosate and atrazine concentrations measured weekly during the 2013 growing season in 100 small streams in the Midwestern United States. Glyphosate was detected in 44% of samples (method reporting level 0.2 μg/L); atrazine was detected above a threshold of 0.2 μg/L in 54% of samples. Glyphosate was detected more frequently in 12 urban streams than in 88 agricultural streams, and at concentrations similar to those in streams with high agricultural land use (> 40% row crop) in the watershed. In contrast, atrazine was detected more frequently and at higher concentrations in agricultural streams than in urban streams. The maximum concentration of glyphosate measured at most urban sites exceeded the maximum atrazine concentration, whereas at agricultural sites the reverse was true. Measurement at a 2-day interval at 8 sites in northern Missouri revealed that transport of both herbicide compounds appeared to be controlled by spring flush, that peak concentration duration was brief, but that peaks in atrazine concentrations were of longer duration than those of glyphosate. The 2-day sampling also indicated that weekly sampling is unlikely to capture peak concentrations of glyphosate and atrazine.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.10.236","usgsCitation":"Mahler, B., Van Metre, P., Burley, T.E., Loftin, K.A., Meyer, M.T., and Nowell, L.H., 2017, Similarities and differences in occurrence and temporal fluctuations in glyphosate and atrazine in small Midwestern streams (USA) during the 2013 growing season: Science of the Total Environment, v. 579, p. 149-158, https://doi.org/10.1016/j.scitotenv.2016.10.236.","productDescription":"10 p.","startPage":"149","endPage":"158","ipdsId":"IP-076521","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":470016,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.10.236","text":"Publisher Index Page"},{"id":438416,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SN073J","text":"USGS data release","linkHelpText":"Concentrations of glyphosate and atrazine compounds in 100 Midwest United States streams in 2013"},{"id":337489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"579","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c90121e4b0849ce97abc9e","contributors":{"authors":[{"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":684176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":684177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burley, Thomas E. 0000-0002-2235-8092 teburley@usgs.gov","orcid":"https://orcid.org/0000-0002-2235-8092","contributorId":3499,"corporation":false,"usgs":true,"family":"Burley","given":"Thomas","email":"teburley@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":684178,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":684179,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":684180,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}