{"pageNumber":"865","pageRowStart":"21600","pageSize":"25","recordCount":165505,"records":[{"id":70195338,"text":"70195338 - 2018 - Spatial patterns in occupancy and reproduction of Golden Eagles during drought: Prospects for conservation in changing environments","interactions":[],"lastModifiedDate":"2018-02-08T14:22:33","indexId":"70195338","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns in occupancy and reproduction of Golden Eagles during drought: Prospects for conservation in changing environments","docAbstract":"We used a broad-scale sampling design to investigate spatial patterns in occupancy and breeding success of territorial pairs of Golden Eagles (Aquila chrysaetos) in the Diablo Range, California, USA, during a period of exceptional drought (2014–2016). We surveyed 138 randomly selected sample sites over 4 occasions each year and identified 199 pairs of eagles, 100 of which were detected in focal sample sites. We then used dynamic multistate modeling to identify relationships between site occupancy and reproduction of Golden Eagles relative to spatial variability in landscape composition and drought conditions. We observed little variability among years in site occupancy (3-yr mean = 0.74), but the estimated annual probability of successful reproduction was relatively low during the study period and declined from 0.39 (± 0.08 SE) to 0.18 (± 0.07 SE). Probabilities of site occupancy and reproduction were substantially greater at sample sites that were occupied by successful breeders in the previous year, indicating the presence of sites that were consistently used by successfully reproducing eagles. We found strong evidence for nonrandom spatial distribution in both occupancy and reproduction: Sites with the greatest potential for occupancy were characterized by rugged terrain conditions with intermediate amounts of grassland interspersed with patches of oak woodland and coniferous forest, whereas successful reproduction was most strongly associated with the amount of precipitation that a site received during the nesting period. Our findings highlight the contribution of consistently occupied and productive breeding sites to overall productivity of the local breeding population, and show that both occupancy and reproduction at these sites were maintained even during a period of exceptional drought. Our approach to quantifying and mapping site quality should be especially useful for the spatial prioritization of compensation measures intended to help offset the impacts of increasing human land use and development on Golden Eagles and their habitats.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-96.1","usgsCitation":"Wiens, D., Kolar, P., Hunt, W.G., Hunt, T., Fuller, M.R., and Bell, D., 2018, Spatial patterns in occupancy and reproduction of Golden Eagles during drought: Prospects for conservation in changing environments: The Condor, v. 120, no. 1, p. 106-124, https://doi.org/10.1650/CONDOR-17-96.1.","productDescription":"19 p.","startPage":"106","endPage":"124","ipdsId":"IP-087249","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469072,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-17-96.1","text":"Publisher Index Page"},{"id":351376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.33,\n 37\n ],\n [\n -121,\n 37\n ],\n [\n -121,\n 38.05674222065296\n ],\n [\n -122.33,\n 38.05674222065296\n ],\n [\n -122.33,\n 37\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7d6ffce4b00f54eb244199","contributors":{"authors":[{"text":"Wiens, David 0000-0002-2020-038X jwiens@usgs.gov","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":167538,"corporation":false,"usgs":true,"family":"Wiens","given":"David","email":"jwiens@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":727883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolar, Patrick 0000-0002-0076-7565 pkolar@usgs.gov","orcid":"https://orcid.org/0000-0002-0076-7565","contributorId":189512,"corporation":false,"usgs":true,"family":"Kolar","given":"Patrick","email":"pkolar@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":727884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, W. Grainger","contributorId":139544,"corporation":false,"usgs":false,"family":"Hunt","given":"W.","email":"","middleInitial":"Grainger","affiliations":[{"id":12795,"text":"The Peregrine Fund, Inc.","active":true,"usgs":false}],"preferred":false,"id":727885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Teresa","contributorId":139545,"corporation":false,"usgs":false,"family":"Hunt","given":"Teresa","affiliations":[{"id":12795,"text":"The Peregrine Fund, Inc.","active":true,"usgs":false}],"preferred":false,"id":727886,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuller, Mark R. 0000-0001-7459-1729 mark_fuller@usgs.gov","orcid":"https://orcid.org/0000-0001-7459-1729","contributorId":2296,"corporation":false,"usgs":true,"family":"Fuller","given":"Mark","email":"mark_fuller@usgs.gov","middleInitial":"R.","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":727888,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bell, Douglas A.","contributorId":44427,"corporation":false,"usgs":true,"family":"Bell","given":"Douglas A.","affiliations":[],"preferred":false,"id":727889,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70195351,"text":"70195351 - 2018 - The migratory bird treaty and a century of waterfowl conservation","interactions":[],"lastModifiedDate":"2018-02-09T11:50:41","indexId":"70195351","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"The migratory bird treaty and a century of waterfowl conservation","docAbstract":"In the final decades of the nineteenth century, concern was building about the status of migratory bird populations in North America. In this literature review, we describe how that concern led to a landmark conservation agreement in 1916, between the United States and Great Britain (on behalf of Canada) to conserve migratory birds shared by Canada and the United States. Drawing on published literature and our personal experience, we describe how subsequent enabling acts in both countries gave rise to efforts to better estimate population sizes and distributions, assess harvest rates and demographic impacts, design and fund landscape-level habitat conservation initiatives, and organize necessary political and regulatory processes. Executing these steps required large-scale thinking, unprecedented regional and international cooperation, ingenuity, and a commitment to scientific rigor and adaptive management. We applaud the conservation efforts begun 100 years ago with the Migratory Bird Treaty Convention. The agreement helped build the field of wildlife ecology and conservation in the twentieth century but only partially prepares us for the ecological and social challenges ahead.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21326","usgsCitation":"Anderson, M.G., Alisauskas, R., Batt, B., Blohm, R.J., Higgins, K.F., Perry, M., Ringelman, J.K., Sedinger, J.S., Serie, J.R., Sharp, D.E., Trauger, D.L., and Williams, C.K., 2018, The migratory bird treaty and a century of waterfowl conservation: Journal of Wildlife Management, v. 82, p. 247-259, https://doi.org/10.1002/jwmg.21326.","productDescription":"13 p.","startPage":"247","endPage":"259","ipdsId":"IP-087705","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":351421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-24","publicationStatus":"PW","scienceBaseUri":"5a7ec172e4b00f54eb25a756","contributors":{"authors":[{"text":"Anderson, Michael G.","contributorId":202239,"corporation":false,"usgs":false,"family":"Anderson","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":36382,"text":"Institute For Wetland And Waterfowl Research, Ducks Unlimited Canada, Stonewall, Mb R0c 2z0, Canada","active":true,"usgs":false}],"preferred":false,"id":727992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alisauskas, Ray T.","contributorId":202240,"corporation":false,"usgs":false,"family":"Alisauskas","given":"Ray T.","affiliations":[{"id":36383,"text":"Environment And Climate Change Canada, Prairie And Northern Research Center; 115 Perimeter Road, Saskatoon, Sk S7n 0x4, Canada","active":true,"usgs":false}],"preferred":false,"id":727993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Batt, Bruce D. J.","contributorId":202241,"corporation":false,"usgs":false,"family":"Batt","given":"Bruce D. J.","affiliations":[{"id":36384,"text":"Ducks Unlimited, Inc., Retired, Memphis, TN 38119, USA","active":true,"usgs":false}],"preferred":false,"id":727994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blohm, Robert J.","contributorId":202242,"corporation":false,"usgs":false,"family":"Blohm","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":36385,"text":"Division of Migratory Bird Management, U.S. Fish And Wildlife Service, Retired, Bowie, MD 20715, USA","active":true,"usgs":false}],"preferred":false,"id":727995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Higgins, Kenneth F.","contributorId":202243,"corporation":false,"usgs":false,"family":"Higgins","given":"Kenneth","email":"","middleInitial":"F.","affiliations":[{"id":36386,"text":"Department Of Natural Resource Management, South Dakota State University, Brookings, SD 57007, USA","active":true,"usgs":false}],"preferred":false,"id":727996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perry, Matthew 0000-0001-6452-9534 mperry@usgs.gov","orcid":"https://orcid.org/0000-0001-6452-9534","contributorId":179173,"corporation":false,"usgs":true,"family":"Perry","given":"Matthew","email":"mperry@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":727991,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ringelman, James K.","contributorId":202244,"corporation":false,"usgs":false,"family":"Ringelman","given":"James","email":"","middleInitial":"K.","affiliations":[{"id":36387,"text":"Ducks Unlimited, Inc., Retired, Menoken, ND 58558, USA","active":true,"usgs":false}],"preferred":false,"id":727997,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sedinger, James S.","contributorId":84861,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":727998,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Serie, Jerome R.","contributorId":174564,"corporation":false,"usgs":false,"family":"Serie","given":"Jerome","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":727999,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sharp, David E.","contributorId":202245,"corporation":false,"usgs":false,"family":"Sharp","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":36388,"text":"Division Of Migratory Bird Management, U.S. Fish And Wildlife Service, Retired, Littleton, CO 80127, USA","active":true,"usgs":false}],"preferred":false,"id":728000,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Trauger, David L.","contributorId":107682,"corporation":false,"usgs":true,"family":"Trauger","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":728043,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Williams, Christopher K.","contributorId":202263,"corporation":false,"usgs":false,"family":"Williams","given":"Christopher","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":728044,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70196961,"text":"70196961 - 2018 - Nonbreeding home‐range size and survival of lesser prairie‐chickens","interactions":[],"lastModifiedDate":"2018-05-15T16:56:19","indexId":"70196961","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Nonbreeding home‐range size and survival of lesser prairie‐chickens","docAbstract":"The lesser prairie‐chicken (Tympanuchus pallidicinctus), a species of conservation concern with uncertain regulatory status, has experienced population declines over the past century. Most research on lesser prairie‐chickens has focused on the breeding season, with little research conducted during the nonbreeding season, a period that exerts a strong influence on demography in other upland game birds. We trapped lesser prairie‐chickens on leks and marked them with either global positioning system (GPS) satellite or very high frequency (VHF) transmitters to estimate survival and home‐range size during the nonbreeding season. We monitored 119 marked lesser prairie‐chickens in 3 study areas in Kansas, USA, from 16 September to 14 March in 2013, 2014, and 2015. We estimated home‐range size using Brownian Bridge movement models (GPS transmitters) and fixed kernel density estimators (VHF transmitters), and female survival using Kaplan–Meier known‐fate models. Average home‐range size did not differ between sexes. Estimated home‐range size was 3 times greater for individuals fitted with GPS satellite transmitters (![\"urn:x-wiley:14381656:media:jwmg21390:jwmg21390-math-0005\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/2c179701-0c60-4087-af50-64559b0fd382/jwmg21390-math-0005.png\")
= 997 ha) than those with VHF transmitters (![\"urn:x-wiley:14381656:media:jwmg21390:jwmg21390-math-0006\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/cc4a0e9f-303f-46fa-be8a-d33cc178cb68/jwmg21390-math-0006.png\")
= 286 ha), likely a result of the temporal resolution of the different transmitters. Home‐range size of GPS‐marked birds increased 2.8 times relative to the breeding season and varied by study area and year. Home‐range size was smaller in the 2013–2014 nonbreeding season (![\"urn:x-wiley:14381656:media:jwmg21390:jwmg21390-math-0007\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/a0f30e98-ec64-4508-b33d-1542b38220ab/jwmg21390-math-0007.png\")
= 495 ha) than the following 2 nonbreeding seasons (![\"urn:x-wiley:14381656:media:jwmg21390:jwmg21390-math-0008\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/c03a4caf-700f-42dd-bf54-a854ed5a9525/jwmg21390-math-0008.png\")
= 1,290 ha and ![\"urn:x-wiley:14381656:media:jwmg21390:jwmg21390-math-0009\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/dce88549-9369-4fd1-bf50-79ba36e8f234/jwmg21390-math-0009.png\")
= 1,158 ha), corresponding with drought conditions of 2013, which were alleviated in following years. Female survival (![\"urn:x-wiley:14381656:media:jwmg21390:jwmg21390-math-0010\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/0ec2e8c9-c112-4a67-9a9a-7760150fcb5c/jwmg21390-math-0010.png\")
) was high relative to breeding season estimates, and did not differ by study area or year (![\"urn:x-wiley:14381656:media:jwmg21390:jwmg21390-math-0011\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/f668f7c3-5042-40ca-90d1-23a4855bd972/jwmg21390-math-0011.png\")
= 0.73 ± 0.04 [SE]). Future management could remain focused on the breeding season because nonbreeding survival was 39–44% greater than the previous breeding season; however, considerations of total space needs would benefit lesser prairie‐chickens by accounting for the greater spatial requirements during the nonbreeding season.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21390","usgsCitation":"Robinson, S.G., Haukos, D.A., Plumb, R.T., Lautenbach, J.M., Sullins, D.S., Kraft, J.D., Lautenbach, J.D., Hagen, C.A., and Pitman, J.C., 2018, Nonbreeding home‐range size and survival of lesser prairie‐chickens: Journal of Wildlife Management, v. 82, no. 2, p. 413-423, https://doi.org/10.1002/jwmg.21390.","productDescription":"11 p.","startPage":"413","endPage":"423","ipdsId":"IP-087792","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21390","text":"Publisher Index Page"},{"id":354202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","county":"Clark County, Comanche County, Gove County, Kiowa County, Logan County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-99.0135,37.3849],[-99.0008,37.3849],[-99.0005,37.0008],[-99.4004,37.0001],[-99.4516,37],[-99.5399,36.9998],[-100.0009,36.9985],[-100.0024,36.9985],[-100.0902,36.9983],[-100.0898,37.3855],[-100.106,37.3862],[-100.1068,37.4751],[-99.5557,37.4689],[-99.5584,37.7354],[-99.0142,37.7339],[-99.0136,37.471],[-99.0135,37.3849]]],[[[-100.7201,39.1338],[-100.7005,39.1333],[-100.6086,39.1335],[-100.589,39.1329],[-100.497,39.1331],[-100.4775,39.1329],[-100.3867,39.1325],[-100.3689,39.1328],[-100.2757,39.1319],[-100.2585,39.1321],[-100.1642,39.1321],[-100.1488,39.1318],[-100.1543,38.6966],[-100.2481,38.6976],[-100.4687,38.6988],[-100.5772,38.6997],[-100.5973,38.7003],[-100.6882,38.7037],[-100.8168,38.7032],[-101.1293,38.7001],[-101.485,38.7002],[-101.4779,39.1339],[-101.3913,39.1345],[-101.3669,39.1342],[-101.2791,39.1344],[-101.2548,39.1345],[-101.1664,39.1346],[-101.1438,39.1342],[-101.0554,39.1346],[-101.0334,39.1346],[-100.9444,39.1342],[-100.8323,39.1336],[-100.8121,39.133],[-100.7201,39.1338]]]]},\"properties\":{\"name\":\"Clark\",\"state\":\"KS\"}}]}","volume":"82","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-27","publicationStatus":"PW","scienceBaseUri":"5afee73fe4b0da30c1bfc1c7","contributors":{"authors":[{"text":"Robinson, Samantha G.","contributorId":172786,"corporation":false,"usgs":false,"family":"Robinson","given":"Samantha","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":735457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":735146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plumb, Reid T.","contributorId":172787,"corporation":false,"usgs":false,"family":"Plumb","given":"Reid","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":735458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lautenbach, Joseph M.","contributorId":172788,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":735459,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":735460,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kraft, John D.","contributorId":172789,"corporation":false,"usgs":false,"family":"Kraft","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":735461,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lautenbach, Jonathan D.","contributorId":172790,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":735462,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hagen, Christian A.","contributorId":177795,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":735463,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pitman, James C.","contributorId":40529,"corporation":false,"usgs":true,"family":"Pitman","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":735464,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70195384,"text":"70195384 - 2018 - A molecular investigation of soil organic carbon composition across a subalpine catchment","interactions":[],"lastModifiedDate":"2018-02-13T12:32:30","indexId":"70195384","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5626,"text":"Soil Systems","active":true,"publicationSubtype":{"id":10}},"title":"A molecular investigation of soil organic carbon composition across a subalpine catchment","docAbstract":"The dynamics of soil organic carbon (SOC) storage and turnover are a critical component of the global carbon cycle. Mechanistic models seeking to represent these complex dynamics require detailed SOC compositions, which are currently difficult to characterize quantitatively. Here, we address this challenge by using a novel approach that combines Fourier transform infrared spectroscopy (FT-IR) and bulk carbon X-ray absorption spectroscopy (XAS) to determine the abundance of SOC functional groups, using elemental analysis (EA) to constrain the total amount of SOC. We used this SOC functional group abundance (SOC-fga) method to compare variability in SOC compositions as a function of depth across a subalpine watershed (East River, Colorado, USA) and found a large degree of variability in SOC functional group abundances between sites at different elevations. Soils at a lower elevation are predominantly composed of polysaccharides, while soils at a higher elevation have more substantial portions of carbonyl, phenolic, or aromatic carbon. We discuss the potential drivers of differences in SOC composition between these sites, including vegetation inputs, internal processing and losses, and elevation-driven environmental factors. Although numerical models would facilitate the understanding and evaluation of the observed SOC distributions, quantitative and meaningful measurements of SOC molecular compositions are required to guide such models. Comparison among commonly used characterization techniques on shared reference materials is a critical next step for advancing our understanding of the complex processes controlling SOC compositions.
","language":"English","publisher":"MDPI","doi":"10.3390/soils2010006","usgsCitation":"Hsu, H., Lawrence, C.R., Winnick, M.J., Bargar, J.R., and Maher, K., 2018, A molecular investigation of soil organic carbon composition across a subalpine catchment: Soil Systems, v. 2, no. 1, p. 1-23, https://doi.org/10.3390/soils2010006.","productDescription":"Article 6; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-088725","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/soils2010006","text":"Publisher Index Page"},{"id":351525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-01","publicationStatus":"PW","scienceBaseUri":"5afee743e4b0da30c1bfc207","contributors":{"authors":[{"text":"Hsu, Hsiao-Tieh","contributorId":202391,"corporation":false,"usgs":false,"family":"Hsu","given":"Hsiao-Tieh","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":728306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Corey R. 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":202390,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":728305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winnick, Matthew J.","contributorId":202392,"corporation":false,"usgs":false,"family":"Winnick","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":728307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bargar, John R.","contributorId":14970,"corporation":false,"usgs":true,"family":"Bargar","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":728308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maher, Katharine","contributorId":46004,"corporation":false,"usgs":true,"family":"Maher","given":"Katharine","email":"","affiliations":[],"preferred":false,"id":728309,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195393,"text":"70195393 - 2018 - On factors influencing air-water gas exchange in emergent wetlands","interactions":[],"lastModifiedDate":"2018-02-23T11:13:10","indexId":"70195393","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"On factors influencing air-water gas exchange in emergent wetlands","docAbstract":"Knowledge of gas exchange in wetlands is important in order to determine fluxes of climatically and biogeochemically important trace gases and to conduct mass balances for metabolism studies. Very few studies have been conducted to quantify gas transfer velocities in wetlands, and many wind speed/gas exchange parameterizations used in oceanographic or limnological settings are inappropriate under conditions found in wetlands. Here six measurements of gas transfer velocities are made with SF6 tracer release experiments in three different years in the Everglades, a subtropical peatland with surface water flowing through emergent vegetation. The experiments were conducted under different flow conditions and with different amounts of emergent vegetation to determine the influence of wind, rain, water flow, waterside thermal convection, and vegetation on air-water gas exchange in wetlands. Measured gas transfer velocities under the different conditions ranged from 1.1 cm h−1 during baseline conditions to 3.2 cm h−1 when rain and water flow rates were high. Commonly used wind speed/gas exchange relationships would overestimate the gas transfer velocity by a factor of 1.2 to 6.8. Gas exchange due to thermal convection was relatively constant and accounted for 14 to 51% of the total measured gas exchange. Differences in rain and water flow among the different years were responsible for the variability in gas exchange, with flow accounting for 37 to 77% of the gas exchange, and rain responsible for up to 40%.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JG004299","usgsCitation":"Ho, D.T., Engel, V.C., Ferron, S., Hickman, B., Choi, J., and Harvey, J.W., 2018, On factors influencing air-water gas exchange in emergent wetlands: Journal of Geophysical Research G: Biogeosciences, v. 123, no. 1, p. 178-192, https://doi.org/10.1002/2017JG004299.","productDescription":"15 p.","startPage":"178","endPage":"192","ipdsId":"IP-093042","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jg004299","text":"Publisher Index Page"},{"id":351532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.63,\n 25.84\n ],\n [\n -80.60,\n 25.84\n ],\n [\n -80.60,\n 25.87\n ],\n [\n -80.63,\n 25.87\n ],\n [\n -80.63,\n 25.84\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-24","publicationStatus":"PW","scienceBaseUri":"5afee743e4b0da30c1bfc205","contributors":{"authors":[{"text":"Ho, David T.","contributorId":202425,"corporation":false,"usgs":false,"family":"Ho","given":"David","email":"","middleInitial":"T.","affiliations":[{"id":36430,"text":"University of Hawaii, Honolulu, Hawaii","active":true,"usgs":false}],"preferred":false,"id":728385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engel, Victor C. 0000-0002-3858-7308","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":202426,"corporation":false,"usgs":false,"family":"Engel","given":"Victor","email":"","middleInitial":"C.","affiliations":[{"id":36431,"text":"U.S. Forest Service, Fort Collins","active":true,"usgs":false}],"preferred":false,"id":728386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferron, Sara","contributorId":199936,"corporation":false,"usgs":false,"family":"Ferron","given":"Sara","email":"","affiliations":[],"preferred":false,"id":728387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hickman, Benjamin","contributorId":202427,"corporation":false,"usgs":false,"family":"Hickman","given":"Benjamin","email":"","affiliations":[{"id":36430,"text":"University of Hawaii, Honolulu, Hawaii","active":true,"usgs":false}],"preferred":false,"id":728388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choi, Jay jchoi@usgs.gov","contributorId":4731,"corporation":false,"usgs":true,"family":"Choi","given":"Jay","email":"jchoi@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":728389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":728384,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196893,"text":"70196893 - 2018 - Vertical self-sorting behavior in juvenile Chinook salmon (Oncorhynchus tshawytscha): evidence for family differences and variation in growth and morphology","interactions":[],"lastModifiedDate":"2018-05-17T15:37:23","indexId":"70196893","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Vertical self-sorting behavior in juvenile Chinook salmon (Oncorhynchus tshawytscha): evidence for family differences and variation in growth and morphology","docAbstract":"Life history variation is fundamental to the evolution of Pacific salmon and their persistence under variable conditions. We discovered that Chinook salmon sort themselves into surface- and bottom-oriented groups in tanks within days after exogenous feeding. We hypothesised that this behaviour is correlated with subsequent differences in body morphology and growth (as measured by final length and mass) observed later in life. We found consistent morphological differences between surface and bottom phenotypes. Furthermore, we found that surface and bottom orientation within each group is maintained for at least one year after the phenotypes were separated. These surface and bottom phenotypes are expressed across genetic stocks, brood years, and laboratories and we show that the proportion of surface- and bottom-oriented offspring also differed among families. Importantly, feed delivery location did not affect morphology or growth, and the surface fish were longer than bottom fish at the end of the rearing experiment. The body shape of the former correlates with wild individuals that rear in mainstem habitats and migrate in the fall as subyearlings and the latter resemble those that remain in the upper tributaries and migrate as yearling spring migrants. Our findings suggest that early self-sorting behaviour may have a genetic basis and be correlated with other phenotypic traits that are important indicators for juvenile migration timing.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-017-0702-2","usgsCitation":"Unrein, J.R., Billman, E., Cogliati, K.M., Chitwood, R.S., Noakes, D.L., and Schreck, C.B., 2018, Vertical self-sorting behavior in juvenile Chinook salmon (Oncorhynchus tshawytscha): evidence for family differences and variation in growth and morphology: Environmental Biology of Fishes, v. 101, no. 2, p. 341-353, https://doi.org/10.1007/s10641-017-0702-2.","productDescription":"13 p.","startPage":"341","endPage":"353","ipdsId":"IP-066132","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-02","publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1c9","contributors":{"authors":[{"text":"Unrein, Julia R.","contributorId":172777,"corporation":false,"usgs":false,"family":"Unrein","given":"Julia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":735726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Billman, E.J.","contributorId":172038,"corporation":false,"usgs":false,"family":"Billman","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":735727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cogliati, Karen M.","contributorId":200086,"corporation":false,"usgs":false,"family":"Cogliati","given":"Karen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":735728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chitwood, Rob S.","contributorId":172779,"corporation":false,"usgs":false,"family":"Chitwood","given":"Rob","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":735729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noakes, David L. G.","contributorId":195116,"corporation":false,"usgs":false,"family":"Noakes","given":"David","email":"","middleInitial":"L. G.","affiliations":[],"preferred":false,"id":735730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734925,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70197549,"text":"70197549 - 2018 - Validation of ATR FT-IR to identify polymers of plastic marine debris, including those ingested by marine organisms","interactions":[],"lastModifiedDate":"2018-06-11T16:47:14","indexId":"70197549","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Validation of ATR FT-IR to identify polymers of plastic marine debris, including those ingested by marine organisms","docAbstract":"Polymer identification of plastic marine debris can help identify its sources, degradation, and fate. We optimized and validated a fast, simple, and accessible technique, attenuated total reflectance Fourier transform infrared spectroscopy (ATR FT-IR), to identify polymers contained in plastic ingested by sea turtles. Spectra of consumer good items with known resin identification codes #1–6 and several #7 plastics were compared to standard and raw manufactured polymers. High temperature size exclusion chromatography measurements confirmed ATR FT-IR could differentiate these polymers. High-density (HDPE) and low-density polyethylene (LDPE) discrimination is challenging but a clear step-by-step guide is provided that identified 78% of ingested PE samples. The optimal cleaning methods consisted of wiping ingested pieces with water or cutting. Of 828 ingested plastics pieces from 50 Pacific sea turtles, 96% were identified by ATR FT-IR as HDPE, LDPE, unknown PE, polypropylene (PP), PE and PP mixtures, polystyrene, polyvinyl chloride, and nylon.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2017.12.061","usgsCitation":"Jung, M.R., Horgen, F.D., Orski, S.V., Rodriguez, V., Beers, K.L., Balazs, G.H., Jones, T.T., Work, T.M., Brignac, K.C., Royer, S., Hyrenbach, D.K., Jensen, B.A., and Lynch, J.M., 2018, Validation of ATR FT-IR to identify polymers of plastic marine debris, including those ingested by marine organisms: Marine Pollution Bulletin, v. 127, p. 704-716, https://doi.org/10.1016/j.marpolbul.2017.12.061.","productDescription":"13 p.","startPage":"704","endPage":"716","ipdsId":"IP-093467","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469068,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13077791/","text":"Publisher Index Page"},{"id":354920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e5d4e4b060350a15d21e","contributors":{"authors":[{"text":"Jung, Melissa R.","contributorId":205513,"corporation":false,"usgs":false,"family":"Jung","given":"Melissa","email":"","middleInitial":"R.","affiliations":[{"id":37114,"text":"National Institute of Standard and","active":true,"usgs":false}],"preferred":false,"id":737620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horgen, F. David","contributorId":205514,"corporation":false,"usgs":false,"family":"Horgen","given":"F.","email":"","middleInitial":"David","affiliations":[],"preferred":false,"id":737621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orski, Sara V.","contributorId":205515,"corporation":false,"usgs":false,"family":"Orski","given":"Sara","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":737622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodriguez, Viviana","contributorId":205516,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Viviana","email":"","affiliations":[],"preferred":false,"id":737623,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beers, Kathryn L.","contributorId":205517,"corporation":false,"usgs":false,"family":"Beers","given":"Kathryn","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":737624,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Balazs, George H.","contributorId":127680,"corporation":false,"usgs":false,"family":"Balazs","given":"George","email":"","middleInitial":"H.","affiliations":[{"id":7109,"text":"NOAA, National Marine Fisheries Service, Pacific Islands Fisheries Science Center, 1845 Wasp Boulevard, Building 176, Honolulu, HI 96818.","active":true,"usgs":false}],"preferred":false,"id":737625,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, T. Todd","contributorId":205518,"corporation":false,"usgs":false,"family":"Jones","given":"T.","email":"","middleInitial":"Todd","affiliations":[],"preferred":false,"id":737626,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":737619,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brignac, Kayla C.","contributorId":205519,"corporation":false,"usgs":false,"family":"Brignac","given":"Kayla","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":737627,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Royer, Sarah-Jeanne","contributorId":205520,"corporation":false,"usgs":false,"family":"Royer","given":"Sarah-Jeanne","email":"","affiliations":[],"preferred":false,"id":737628,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hyrenbach, David K.","contributorId":120610,"corporation":false,"usgs":true,"family":"Hyrenbach","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":737657,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jensen, Brenda A.","contributorId":40130,"corporation":false,"usgs":true,"family":"Jensen","given":"Brenda","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737658,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lynch, Jennifer M.","contributorId":192486,"corporation":false,"usgs":false,"family":"Lynch","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":737659,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70195430,"text":"70195430 - 2018 - Effects of environmental variables on invasive amphibian activity: Using model selection on quantiles for counts","interactions":[],"lastModifiedDate":"2018-02-14T13:31:00","indexId":"70195430","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Effects of environmental variables on invasive amphibian activity: Using model selection on quantiles for counts","docAbstract":"Many different factors influence animal activity. Often, the value of an environmental variable may influence significantly the upper or lower tails of the activity distribution. For describing relationships with heterogeneous boundaries, quantile regressions predict a quantile of the conditional distribution of the dependent variable. A quantile count model extends linear quantile regression methods to discrete response variables, and is useful if activity is quantified by trapping, where there may be many tied (equal) values in the activity distribution, over a small range of discrete values. Additionally, different environmental variables in combination may have synergistic or antagonistic effects on activity, so examining their effects together, in a modeling framework, is a useful approach. Thus, model selection on quantile counts can be used to determine the relative importance of different variables in determining activity, across the entire distribution of capture results. We conducted model selection on quantile count models to describe the factors affecting activity (numbers of captures) of cane toads (Rhinella marina) in response to several environmental variables (humidity, temperature, rainfall, wind speed, and moon luminosity) over eleven months of trapping. Environmental effects on activity are understudied in this pest animal. In the dry season, model selection on quantile count models suggested that rainfall positively affected activity, especially near the lower tails of the activity distribution. In the wet season, wind speed limited activity near the maximum of the distribution, while minimum activity increased with minimum temperature. This statistical methodology allowed us to explore, in depth, how environmental factors influenced activity across the entire distribution, and is applicable to any survey or trapping regime, in which environmental variables affect activity.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2067","usgsCitation":"Muller, B.J., Cade, B.S., and Schwarzkoph, L., 2018, Effects of environmental variables on invasive amphibian activity: Using model selection on quantiles for counts: Ecosphere, v. 9, no. 1, p. 1-14, https://doi.org/10.1002/ecs2.2067.","productDescription":"Article e02067; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-092621","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469073,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2067","text":"Publisher Index Page"},{"id":351611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-05","publicationStatus":"PW","scienceBaseUri":"5afee743e4b0da30c1bfc203","contributors":{"authors":[{"text":"Muller, Benjamin J.","contributorId":202492,"corporation":false,"usgs":false,"family":"Muller","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[{"id":36457,"text":"Centre for Tropical Biodiversity and Climate Change, James Cook University, Townsville, Quensland, Australia","active":true,"usgs":false}],"preferred":false,"id":728565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":728564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwarzkoph, Lin","contributorId":202493,"corporation":false,"usgs":false,"family":"Schwarzkoph","given":"Lin","email":"","affiliations":[{"id":36458,"text":"College of Science and Engineering, James Cook University, Townsville, Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":728566,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195454,"text":"70195454 - 2018 - Planetary dune workshop expands to include subaqueous processes","interactions":[],"lastModifiedDate":"2018-03-22T10:36:22","indexId":"70195454","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Planetary dune workshop expands to include subaqueous processes","docAbstract":"Dune-like structures appear in the depths of Earth’s oceans, across its landscapes, and in the extremities of the solar system beyond. Dunes rise up under the thick dense atmosphere of Venus, and they have been found under the almost unimaginably ephemeral atmosphere of a comet.
","conferenceTitle":"The Fifth International Planetary Dunes Workshop: From the Bottom of the Oceans to the Outer Limits of the Solar System","conferenceDate":"May 16-19, 2017","conferenceLocation":"St. George, UT","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018EO092783","usgsCitation":"Titus, T.N., Bryant, G., and Rubin, D.M., 2018, Planetary dune workshop expands to include subaqueous processes: Eos, Earth and Space Science News, v. 99, HTML, https://doi.org/10.1029/2018EO092783.","productDescription":"HTML","ipdsId":"IP-088713","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":469074,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018eo092783","text":"Publisher Index Page"},{"id":351705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee743e4b0da30c1bfc201","contributors":{"authors":[{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bryant, Gerald","contributorId":202524,"corporation":false,"usgs":false,"family":"Bryant","given":"Gerald","email":"","affiliations":[{"id":36471,"text":"Dixie State University","active":true,"usgs":false}],"preferred":false,"id":728681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":728682,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195460,"text":"70195460 - 2018 - Perissodactyla diet","interactions":[],"lastModifiedDate":"2018-02-16T11:16:33","indexId":"70195460","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Perissodactyla diet","docAbstract":"Perissodactyla (Schoch 1989) includes tapirs, rhinoceros, wild asses, horses, and zebras. It is the order of hoofed mammals referred to as “odd-toed ungulates” because its members have one to three weight-bearing toes and walk on hoofs or “ungules.” They are herbivores that are specialized to exploit grasslands and brushy habitat (rhinos, horses, asses, zebras) or dense tropical forests (tapirs). All share a common digestive system called hindgut fermentation, or cecal digestion (in the cecum), and can consume relatively tough, coarse forage. Some perissodactyls are “browsers” that forage primarily on woody shrubs and trees, whereas others are “grazers” with a graminoid-dominated diet. They are all predominantly opportunistic feeders and select for quantity over quality of forage; that is, they consume more abundant low-quality forage instead of searching and selecting for higher-quality forage because it gives them the advantage of reducing search effort, which conserves energy.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of animal cognition and behavior","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-47829-6_897-1","usgsCitation":"Schoenecker, K.A., 2018, Perissodactyla diet, chap. of Encyclopedia of animal cognition and behavior, https://doi.org/10.1007/978-3-319-47829-6_897-1.","ipdsId":"IP-090723","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":351704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-18","publicationStatus":"PW","scienceBaseUri":"5afee742e4b0da30c1bfc1ff","contributors":{"authors":[{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X schoeneckerk@usgs.gov","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":2001,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn","email":"schoeneckerk@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":728701,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196822,"text":"70196822 - 2018 - Three-dimensional foraging habitat use and niche partitioning in two sympatric seabird species, Phalacrocorax auritus and P. penicillatus","interactions":[],"lastModifiedDate":"2018-05-03T13:44:36","indexId":"70196822","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Three-dimensional foraging habitat use and niche partitioning in two sympatric seabird species, Phalacrocorax auritus and P. penicillatus","title":"Three-dimensional foraging habitat use and niche partitioning in two sympatric seabird species, Phalacrocorax auritus and P. penicillatus","docAbstract":"Ecological theory predicts that co-existing, morphologically similar species will partition prey resources when faced with resource limitations. We investigated local movements, foraging dive behavior, and foraging habitat selection by breeding adults of 2 closely related cormorant species, double-crested cormorants Phalacrocorax auritus and Brandt’s cormorants P. penicillatus. These species nest sympatrically at East Sand Island in the Columbia River estuary at the border of Oregon and Washington states, USA. Breeding individuals of each species were tracked using GPS tags with integrated temperature and depth data-loggers. The overall foraging areas and core foraging areas (defined as the 95% and 50% kernel density estimates of dive locations, respectively) of double-crested cormorants were much larger and covered a broader range of riverine, mixed-estuarine, and nearshore marine habitats. Brandt’s cormorant foraging areas were less expansive, were exclusively marine, and mostly overlapped with double-crested cormorant foraging areas. Within these areas of overlap, Brandt’s cormorants tended to dive deeper (median depth = 6.48 m) than double-crested cormorants (median depth = 2.67 m), and selected dive locations where the water was deeper. Brandt’s cormorants also utilized a deeper, more benthic portion of the water column than did double-crested cormorants. Nevertheless, the substantial overlap in foraging habitat between the 2 cormorant species in the Columbia River estuary, particularly for Brandt’s cormorants, suggests that superabundant prey resources allow these 2 large and productive cormorant colonies to coexist on a single island near the mouth of the Columbia River.
","language":"English","publisher":"Inter-Research","doi":"10.3354/meps12407","usgsCitation":"Peck-Richardson, A.G., Lyons, D.E., Roby, D.D., Cushing, D.A., and Lerczak, J.A., 2018, Three-dimensional foraging habitat use and niche partitioning in two sympatric seabird species, Phalacrocorax auritus and P. penicillatus: Marine Ecology Progress Series, v. 586, p. 251-264, https://doi.org/10.3354/meps12407.","productDescription":"14 p.","startPage":"251","endPage":"264","ipdsId":"IP-087206","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":353941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"586","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1cd","contributors":{"authors":[{"text":"Peck-Richardson, Adam G.","contributorId":204662,"corporation":false,"usgs":false,"family":"Peck-Richardson","given":"Adam","email":"","middleInitial":"G.","affiliations":[{"id":13016,"text":"Department of Fisheries and Wildlife, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":734610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, Donald E.","contributorId":204663,"corporation":false,"usgs":false,"family":"Lyons","given":"Donald","email":"","middleInitial":"E.","affiliations":[{"id":13016,"text":"Department of Fisheries and Wildlife, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":734611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roby, Daniel D. 0000-0001-9844-0992 droby@usgs.gov","orcid":"https://orcid.org/0000-0001-9844-0992","contributorId":3702,"corporation":false,"usgs":true,"family":"Roby","given":"Daniel","email":"droby@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cushing, Daniel A.","contributorId":204664,"corporation":false,"usgs":false,"family":"Cushing","given":"Daniel","email":"","middleInitial":"A.","affiliations":[{"id":13016,"text":"Department of Fisheries and Wildlife, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":734612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lerczak, James A.","contributorId":204665,"corporation":false,"usgs":false,"family":"Lerczak","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":734613,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196804,"text":"70196804 - 2018 - Moving in the Anthropocene: Global reductions in terrestrial mammalian movements","interactions":[],"lastModifiedDate":"2021-10-26T19:34:07.415887","indexId":"70196804","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Moving in the Anthropocene: Global reductions in terrestrial mammalian movements","docAbstract":"Animal movement is fundamental for ecosystem functioning and species survival, yet the effects of the anthropogenic footprint on animal movements have not been estimated across species. Using a unique GPS-tracking database of 803 individuals across 57 species, we found that movements of mammals in areas with a comparatively high human footprint were on average one-half to one-third the extent of their movements in areas with a low human footprint. We attribute this reduction to behavioral changes of individual animals and to the exclusion of species with long-range movements from areas with higher human impact. Global loss of vagility alters a key ecological trait of animals that affects not only population persistence but also ecosystem processes such as predator-prey interactions, nutrient cycling, and disease transmission.
","language":"English","publisher":"Science","doi":"10.1126/science.aam9712","usgsCitation":"Tucker, M.A., Bohning-Gaese, K., Fagan, W., Fryxell, J., Van Moorter, B., Alberts, S.C., Ali, A.H., Allen, A.M., Attias, N., Avgar, T., Bartlam-Brooks, H., Buuveibaatar, B., Belant, J.L., Bertassoni, A., Beyer, D., Bidner, L., M. van Beest, F., Blake, S., Blaum, N., Bracis, C., Brown, D., Nico de Bruyn, P.J., Cagnacci, F., Calabrese, J., Camilo-Alves, C., Chamaille-Jammes, S., Chiaradia, A., Davidson, S.C., Dennis, T., DeStefano, S., Diefenbach, D.R., Douglas-Hamilton, I., Fennessy, J., Fichtel, C., Fiedler, W., Fischer, C., Fischhoff, I., Fleming, C.H., Ford, A.T., Fritz, S.A., Gehr, B., Goheen, J.R., Gurarie, E., Hebblewhite, M., Heurich, M., Mark Hewison, A.J., Hof, C., Hurme, E., Isbell, L.A., Janssen, R., Jeltsch, F., Kaczensky, P., Kane, A., Kappeler, P.M., Kauffman, M., Kays, R., Kimuyu, D., Koch, F., Kranstauber, B., LaPoint, S., Leimgruber, P., Linnell, J., Lopez-Lopez, P., Markham, A.C., Mattisson, J., Medici, E.P., Mellone, U., Merrill, E., de Miranda Mourao, G., Morato, R.G., Morellet, N., Morrison, T.A., Diaz-Munoz, S.L., Mysterud, A., Nandintsetseg, D., Nathan, R., Niamir, A., Odden, J., O’Hara, R.B., Oliveira-Santos, L.G., Olson, K.A., Patterson, B.D., Cunha de Paula, R., Pedrotti, L., Reineking, B., Rimmler, M., Rogers, T.L., Rolandsen, C.M., Rosenberry, C.S., Rubenstein, D.I., Safi, K., Said, S., Sapir, N., Sawyer, H., Schmidt, N.M., Selva, N., Sergiel, A., Shiilegdamba, E., Silva, J.P., Singh, N., Solberg, E.J., Spiegel, O., Strand, O., Sundaresan, S., Ullmann, W., Voigt, U., Wall, J., Wattles, D.W., Wikelski, M., Wilmers, C.C., Wilson, J.W., Wittemyer, G., Zieba, F., Zwijacz-Kozica, T., and Mueller, T., 2018, Moving in the Anthropocene: Global reductions in terrestrial mammalian movements: Science, v. 359, no. 6374, p. 466-469, https://doi.org/10.1126/science.aam9712.","productDescription":"4 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Ulrich","contributorId":205128,"corporation":false,"usgs":false,"family":"Voigt","given":"Ulrich","email":"","affiliations":[],"preferred":false,"id":736163,"contributorType":{"id":1,"text":"Authors"},"rank":106},{"text":"Wall, J.","contributorId":65201,"corporation":false,"usgs":true,"family":"Wall","given":"J.","affiliations":[],"preferred":false,"id":736164,"contributorType":{"id":1,"text":"Authors"},"rank":107},{"text":"Wattles, David W.","contributorId":204573,"corporation":false,"usgs":false,"family":"Wattles","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":736165,"contributorType":{"id":1,"text":"Authors"},"rank":108},{"text":"Wikelski, Martin","contributorId":76451,"corporation":false,"usgs":true,"family":"Wikelski","given":"Martin","affiliations":[],"preferred":false,"id":736166,"contributorType":{"id":1,"text":"Authors"},"rank":109},{"text":"Wilmers, Christopher C.","contributorId":150642,"corporation":false,"usgs":false,"family":"Wilmers","given":"Christopher","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":736167,"contributorType":{"id":1,"text":"Authors"},"rank":110},{"text":"Wilson, John W. 0000-0002-7230-1449 jtwilson@usgs.gov","orcid":"https://orcid.org/0000-0002-7230-1449","contributorId":268038,"corporation":false,"usgs":false,"family":"Wilson","given":"John","email":"jtwilson@usgs.gov","middleInitial":"W.","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":736168,"contributorType":{"id":1,"text":"Authors"},"rank":111},{"text":"Wittemyer, George","contributorId":198621,"corporation":false,"usgs":false,"family":"Wittemyer","given":"George","email":"","affiliations":[],"preferred":false,"id":736169,"contributorType":{"id":1,"text":"Authors"},"rank":112},{"text":"Zieba, Filip","contributorId":205129,"corporation":false,"usgs":false,"family":"Zieba","given":"Filip","email":"","affiliations":[],"preferred":false,"id":736170,"contributorType":{"id":1,"text":"Authors"},"rank":113},{"text":"Zwijacz-Kozica, Tomasz","contributorId":205130,"corporation":false,"usgs":false,"family":"Zwijacz-Kozica","given":"Tomasz","email":"","affiliations":[],"preferred":false,"id":736171,"contributorType":{"id":1,"text":"Authors"},"rank":114},{"text":"Mueller, Thomas","contributorId":91393,"corporation":false,"usgs":true,"family":"Mueller","given":"Thomas","affiliations":[],"preferred":false,"id":736172,"contributorType":{"id":1,"text":"Authors"},"rank":115}]}}
,{"id":70195547,"text":"70195547 - 2018 - Leaching and sorption of neonicotinoid insecticides and fungicides from seed coatings","interactions":[],"lastModifiedDate":"2018-09-26T13:04:24","indexId":"70195547","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2266,"text":"Journal of Environmental Science and Health - Part B Pesticides, Food Contaminants, and Agricultural Wastes","active":true,"publicationSubtype":{"id":10}},"title":"Leaching and sorption of neonicotinoid insecticides and fungicides from seed coatings","docAbstract":"Seed coatings are a treatment used on a variety of crops to improve production and offer protection against pests and fungal outbreaks. The leaching of the active ingredients associated with the seed coatings and the sorption to soil was evaluated under laboratory conditions using commercially available corn and soybean seeds to study the fate and transport of these pesticides under controlled conditions. The active ingredients (AI) included one neonicotinoid insecticide (thiamethoxam) and five fungicides (azoxystrobin, fludioxonil, metalaxyl, sedaxane thiabendazole). An aqueous leaching experiment was conducted with treated corn and soybean seeds. Leaching potential was a function of solubility and seed type. The leaching of fludioxonil, was dependent on seed type with a shorter time to equilibrium on the corn compared to the soybean seeds. Sorption experiments with the treated seeds and a solution of the AIs were conducted using three different soil types. Sorption behavior was a function of soil organic matter as well as seed type. For most AIs, a negative relationship was observed between the aqueous concentration and the log Koc. Sorption to all soils tested was limited for the hydrophilic pesticides thiamethoxam and metalaxyl. However, partitioning for the more hydrophobic fungicides was dependent on both seed type and soil properties. The mobility of fludioxonil in the sorption experiment varied by seed type indicating that the adjuvants associated with the seed coating could potentially play a role in the environmental fate of fludioxonil. This is the first study to assess, under laboratory conditions, the fate of pesticides associated with seed coatings using commercially available treated seeds. This information can be used to understand how alterations in agricultural practices (e.g., increasing use of seed treatments) can impact the exposure (concentration and duration) and potential effects of these chemicals to aquatic and terrestrial organisms.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03601234.2017.1405619","usgsCitation":"Smalling, K.L., Hladik, M., Sanders, C., and Kuivila, K., 2018, Leaching and sorption of neonicotinoid insecticides and fungicides from seed coatings: Journal of Environmental Science and Health - Part B Pesticides, Food Contaminants, and Agricultural Wastes, v. 53, no. 3, p. 176-183, https://doi.org/10.1080/03601234.2017.1405619.","productDescription":"8 p.","startPage":"176","endPage":"183","ipdsId":"IP-087334","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":351884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-29","publicationStatus":"PW","scienceBaseUri":"5afee742e4b0da30c1bfc1fb","contributors":{"authors":[{"text":"Smalling, Kelly L. 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":190789,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","email":"ksmall@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":201293,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanders, Corey 0000-0001-7743-6396","orcid":"https://orcid.org/0000-0001-7743-6396","contributorId":202646,"corporation":false,"usgs":true,"family":"Sanders","given":"Corey","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":190790,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn","email":"kkuivila@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":729225,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196794,"text":"70196794 - 2018 - Hematological indices of injury to lightly oiled birds from the Deepwater Horizon oil spill","interactions":[],"lastModifiedDate":"2018-05-01T15:35:11","indexId":"70196794","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Hematological indices of injury to lightly oiled birds from the Deepwater Horizon oil spill","docAbstract":"Avian mortality events are common following large‐scale oil spills. However, the sublethal effects of oil on birds exposed to light external oiling are not clearly understood. We found that American oystercatchers (area of potential impact n = 42, reference n = 21), black skimmers (area of potential impact n = 121, reference n = 88), brown pelicans (area of potential impact n = 91, reference n = 48), and great egrets (area of potential impact n = 57, reference n = 47) captured between 20 June 2010 and 23 February 2011 following the Deepwater Horizon oil spill experienced oxidative injury to erythrocytes, had decreased volume of circulating erythrocytes, and showed evidence of a regenerative hematological response in the form of increased reticulocytes compared with reference populations. Erythrocytic inclusions consistent with Heinz bodies were present almost exclusively in birds from sites impacted with oil, a finding pathognomonic for oxidative injury to erythrocytes. Average packed cell volumes were 4 to 19% lower and average reticulocyte counts were 27 to 40% higher in birds with visible external oil than birds from reference sites. These findings provide evidence that small amounts of external oil exposure are associated with hemolytic anemia. Furthermore, we found that some birds captured from the area impacted by the spill but with no visible oiling also had erythrocytic inclusion bodies, increased reticulocytes, and reduced packed cell volumes when compared with birds from reference sites. Thus, birds suffered hematologic injury despite no visible oil at the time of capture. Together, these findings suggest that adverse effects of oil spills on birds may be more widespread than estimates based on avian mortality or severe visible oiling.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.3983","usgsCitation":"Fallon, J.A., Smith, E.P., Schoch, N., Paruk, J.D., Adams, E.A., Evers, D.C., Jodice, P.G., Perkins, C., Schulte, S., and Hopkins, W., 2018, Hematological indices of injury to lightly oiled birds from the Deepwater Horizon oil spill: Environmental Toxicology and Chemistry, v. 37, no. 2, p. 451-461, https://doi.org/10.1002/etc.3983.","productDescription":"11 p.","startPage":"451","endPage":"461","ipdsId":"IP-080696","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-01","publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1d1","contributors":{"authors":[{"text":"Fallon, Jesse A.","contributorId":177315,"corporation":false,"usgs":false,"family":"Fallon","given":"Jesse","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":734466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Eric P.","contributorId":204598,"corporation":false,"usgs":false,"family":"Smith","given":"Eric","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":734467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoch, Nina","contributorId":101988,"corporation":false,"usgs":true,"family":"Schoch","given":"Nina","email":"","affiliations":[],"preferred":false,"id":734468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paruk, James D.","contributorId":127670,"corporation":false,"usgs":false,"family":"Paruk","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":734469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Evan A.","contributorId":204599,"corporation":false,"usgs":false,"family":"Adams","given":"Evan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":734470,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evers, David C.","contributorId":96160,"corporation":false,"usgs":false,"family":"Evers","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":734471,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":200009,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.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":734425,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Perkins, Christopher","contributorId":204600,"corporation":false,"usgs":false,"family":"Perkins","given":"Christopher","affiliations":[],"preferred":false,"id":734472,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schulte, Shiloh A.","contributorId":39911,"corporation":false,"usgs":true,"family":"Schulte","given":"Shiloh A.","affiliations":[],"preferred":false,"id":734473,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hopkins, William A.","contributorId":201553,"corporation":false,"usgs":false,"family":"Hopkins","given":"William A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":734474,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70194994,"text":"70194994 - 2018 - Using expert knowledge to incorporate uncertainty in cause-of-death assignments for modeling of cause-specific mortality","interactions":[],"lastModifiedDate":"2018-02-01T17:03:36","indexId":"70194994","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","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":"Using expert knowledge to incorporate uncertainty in cause-of-death assignments for modeling of cause-specific mortality","docAbstract":"Implicit and explicit use of expert knowledge to inform ecological analyses is becoming increasingly common because it often represents the sole source of information in many circumstances. Thus, there is a need to develop statistical methods that explicitly incorporate expert knowledge, and can successfully leverage this information while properly accounting for associated uncertainty during analysis. Studies of cause-specific mortality provide an example of implicit use of expert knowledge when causes-of-death are uncertain and assigned based on the observer's knowledge of the most likely cause. To explicitly incorporate this use of expert knowledge and the associated uncertainty, we developed a statistical model for estimating cause-specific mortality using a data augmentation approach within a Bayesian hierarchical framework. Specifically, for each mortality event, we elicited the observer's belief of cause-of-death by having them specify the probability that the death was due to each potential cause. These probabilities were then used as prior predictive values within our framework. This hierarchical framework permitted a simple and rigorous estimation method that was easily modified to include covariate effects and regularizing terms. Although applied to survival analysis, this method can be extended to any event-time analysis with multiple event types, for which there is uncertainty regarding the true outcome. We conducted simulations to determine how our framework compared to traditional approaches that use expert knowledge implicitly and assume that cause-of-death is specified accurately. Simulation results supported the inclusion of observer uncertainty in cause-of-death assignment in modeling of cause-specific mortality to improve model performance and inference. Finally, we applied the statistical model we developed and a traditional method to cause-specific survival data for white-tailed deer, and compared results. We demonstrate that model selection results changed between the two approaches, and incorporating observer knowledge in cause-of-death increased the variability associated with parameter estimates when compared to the traditional approach. These differences between the two approaches can impact reported results, and therefore, it is critical to explicitly incorporate expert knowledge in statistical methods to ensure rigorous inference.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3701","usgsCitation":"Walsh, D.P., Norton, A.S., Storm, D.J., Van Deelen, T.R., and Heisy, D.M., 2018, Using expert knowledge to incorporate uncertainty in cause-of-death assignments for modeling of cause-specific mortality: Ecology and Evolution, v. 8, no. 1, p. 509-520, https://doi.org/10.1002/ece3.3701.","productDescription":"12 p.","startPage":"509","endPage":"520","ipdsId":"IP-090309","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3701","text":"Publisher Index Page"},{"id":350936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-30","publicationStatus":"PW","scienceBaseUri":"5a74357de4b0a9a2e9e25c72","contributors":{"authors":[{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":726489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norton, Andrew S.","contributorId":171631,"corporation":false,"usgs":false,"family":"Norton","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":726490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storm, Daniel J.","contributorId":171373,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":24576,"text":"University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":726491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Deelen, Timothy R.","contributorId":145413,"corporation":false,"usgs":false,"family":"Van Deelen","given":"Timothy","email":"","middleInitial":"R.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":726492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heisy, Dennis M.","contributorId":201572,"corporation":false,"usgs":false,"family":"Heisy","given":"Dennis","email":"","middleInitial":"M.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":726493,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196755,"text":"70196755 - 2018 - Seventy years of stream‐fish collections reveal invasions and native range contractions in an Appalachian (USA) watershed","interactions":[],"lastModifiedDate":"2018-04-30T10:24:31","indexId":"70196755","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Seventy years of stream‐fish collections reveal invasions and native range contractions in an Appalachian (USA) watershed","docAbstract":"Aim
Knowledge of expanding and contracting ranges is critical for monitoring invasions and assessing conservation status, yet reliable data on distributional trends are lacking for most freshwater species. We developed a quantitative technique to detect the sign (expansion or contraction) and functional form of range‐size changes for freshwater species based on collections data, while accounting for possible biases due to variable collection effort. We applied this technique to quantify stream‐fish range expansions and contractions in a highly invaded river system.
Location
Upper and middle New River (UMNR) basin, Appalachian Mountains, USA.
Methods
We compiled a 77‐year stream‐fish collections dataset partitioned into ten time periods. To account for variable collection effort among time periods, we aggregated the collections into 100 watersheds and expressed a species’ range size as detections per watershed (HUC) sampled (DPHS). We regressed DPHS against time by species and used an information‐theoretic approach to compare linear and nonlinear functional forms fitted to the data points and to classify each species as spreader, stable or decliner.
Results
We analysed changes in range size for 74 UMNR fishes, including 35 native and 39 established introduced species. We classified the majority (51%) of introduced species as spreaders, compared to 31% of natives. An exponential functional form fits best for 84% of spreaders. Three natives were among the most rapid spreaders. All four decliners were New River natives.
Main conclusions
Our DPHS‐based approach facilitated quantitative analyses of distributional trends for stream fishes based on collections data. Partitioning the dataset into multiple time periods allowed us to distinguish long‐term trends from population fluctuations and to examine nonlinear forms of spread. Our framework sets the stage for further study of drivers of stream‐fish invasions and declines in the UMNR and is widely transferable to other freshwater taxa and geographic regions.
A trade-off between competitive ability and stress tolerance has been hypothesized and empirically supported to explain the zonation of species across stress gradients for a number of systems. Since stress often reduces plant productivity, one might expect a pattern of decreasing productivity across the zones of the stress gradient. However, this pattern is often not observed in coastal wetlands that show patterns of zonation along a salinity gradient. To address the potentially complex relationship between stress, zonation, and productivity in coastal wetlands, we developed a model of plant biomass as a function of resource competition and salinity stress. Analysis of the model confirms the conventional wisdom that a trade-off between competitive ability and stress tolerance is a necessary condition for zonation. It also suggests that a negative relationship between salinity and production can be overcome if (1) the supply of the limiting resource increases with greater salinity stress or (2) nutrient use efficiency increases with increasing salinity. We fit the equilibrium solution of the dynamic model to data from Louisiana coastal wetlands to test its ability to explain patterns of production across the landscape gradient and derive predictions that could be tested with independent data. We found support for a number of the model predictions, including patterns of decreasing competitive ability and increasing nutrient use efficiency across a gradient from freshwater to saline wetlands. In addition to providing a quantitative framework to support the mechanistic hypotheses of zonation, these results suggest that this simple model is a useful platform to further build upon, simulate and test mechanistic hypotheses of more complex patterns and phenomena in coastal wetlands.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2131","usgsCitation":"Schoolmaster, D., and Stagg, C.L., 2018, Resource competition model predicts zonation and increasing nutrient use efficiency along a wetland salinity gradient: Ecology, v. 99, no. 3, p. 670-680, https://doi.org/10.1002/ecy.2131.","productDescription":"11 p.","startPage":"670","endPage":"680","ipdsId":"IP-089350","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":350913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.09765625,\n 28.459033019728043\n ],\n [\n -88.330078125,\n 28.459033019728043\n ],\n [\n -88.330078125,\n 31.11879439598953\n ],\n [\n -95.09765625,\n 31.11879439598953\n ],\n [\n -95.09765625,\n 28.459033019728043\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"99","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-30","publicationStatus":"PW","scienceBaseUri":"5a74357fe4b0a9a2e9e25c78","contributors":{"authors":[{"text":"Schoolmaster, Donald 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":156350,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","email":"schoolmasterd@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":726426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":726427,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194989,"text":"70194989 - 2018 - Comparative analyses of hydrological responses of two adjacent watersheds to climate variability and change using the SWAT model","interactions":[],"lastModifiedDate":"2018-02-02T10:29:37","indexId":"70194989","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Comparative analyses of hydrological responses of two adjacent watersheds to climate variability and change using the SWAT model","docAbstract":"Water quality problems in the Chesapeake Bay Watershed (CBW) are expected to be exacerbated by climate variability and change. However, climate impacts on agricultural lands and resultant nutrient loads into surface water resources are largely unknown. This study evaluated the impacts of climate variability and change on two adjacent watersheds in the Coastal Plain of the CBW, using the Soil and Water Assessment Tool (SWAT) model. We prepared six climate sensitivity scenarios to assess the individual impacts of variations in CO2concentration (590 and 850 ppm), precipitation increase (11 and 21 %), and temperature increase (2.9 and 5.0 °C), based on regional general circulation model (GCM) projections. Further, we considered the ensemble of five GCM projections (2085–2098) under the Representative Concentration Pathway (RCP) 8.5 scenario to evaluate simultaneous changes in CO2, precipitation, and temperature. Using SWAT model simulations from 2001 to 2014 as a baseline scenario, predicted hydrologic outputs (water and nitrate budgets) and crop growth were analyzed. Compared to the baseline scenario, a precipitation increase of 21 % and elevated CO2 concentration of 850 ppm significantly increased streamflow and nitrate loads by 50 and 52 %, respectively, while a temperature increase of 5.0 °C reduced streamflow and nitrate loads by 12 and 13 %, respectively. Crop biomass increased with elevated CO2 concentrations due to enhanced radiation- and water-use efficiency, while it decreased with precipitation and temperature increases. Over the GCM ensemble mean, annual streamflow and nitrate loads showed an increase of ∼ 70 % relative to the baseline scenario, due to elevated CO2 concentrations and precipitation increase. Different hydrological responses to climate change were observed from the two watersheds, due to contrasting land use and soil characteristics. The watershed with a larger percent of croplands demonstrated a greater increased rate of 5.2 kg N ha−1 in nitrate yield relative to the watershed with a lower percent of croplands as a result of increased export of nitrate derived from fertilizer. The watershed dominated by poorly drained soils showed increased nitrate removal due do enhanced denitrification compared to the watershed dominated by well-drained soils. Our findings suggest that increased implementation of conservation practices would be necessary for this region to mitigate increased nitrate loads associated with predicted changes in future climate.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-22-689-2018","usgsCitation":"Lee, S., Yeo, I., Sadeghi, A.M., McCarty, G.W., Hively, W., Lang, M.W., and Sharifi, A., 2018, Comparative analyses of hydrological responses of two adjacent watersheds to climate variability and change using the SWAT model: Hydrology and Earth System Sciences, v. 22, p. 689-708, https://doi.org/10.5194/hess-22-689-2018.","productDescription":"10 p.","startPage":"689","endPage":"708","ipdsId":"IP-090233","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469071,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-22-689-2018","text":"Publisher Index Page"},{"id":350956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Greensboro Watershed, Tuckahoe Creek Watershed","volume":"22","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-25","publicationStatus":"PW","scienceBaseUri":"5a7586d6e4b00f54eb1d81d4","contributors":{"authors":[{"text":"Lee, Sangchul","contributorId":201237,"corporation":false,"usgs":false,"family":"Lee","given":"Sangchul","email":"","affiliations":[],"preferred":false,"id":726400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yeo, In-Young","contributorId":131145,"corporation":false,"usgs":false,"family":"Yeo","given":"In-Young","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":726402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sadeghi, Ali M.","contributorId":131147,"corporation":false,"usgs":false,"family":"Sadeghi","given":"Ali","email":"","middleInitial":"M.","affiliations":[{"id":7262,"text":"USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":726401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCarty, Gregory W.","contributorId":192367,"corporation":false,"usgs":false,"family":"McCarty","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":726403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hively, Wells whively@usgs.gov","contributorId":201563,"corporation":false,"usgs":true,"family":"Hively","given":"Wells","email":"whively@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":726399,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lang, Megan W.","contributorId":196284,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","email":"","middleInitial":"W.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":726404,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sharifi, Amir","contributorId":201564,"corporation":false,"usgs":false,"family":"Sharifi","given":"Amir","email":"","affiliations":[{"id":18168,"text":"USDA ARS","active":true,"usgs":false}],"preferred":false,"id":726405,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70194987,"text":"70194987 - 2018 - Determinants of Pseudogymnoascus destructans within bat hibernacula: Implications for surveillance and management of white-nose syndrome","interactions":[],"lastModifiedDate":"2023-06-30T14:48:58.619547","indexId":"70194987","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Determinants of Pseudogymnoascus destructans within bat hibernacula: Implications for surveillance and management of white-nose syndrome","title":"Determinants of Pseudogymnoascus destructans within bat hibernacula: Implications for surveillance and management of white-nose syndrome","docAbstract":"- Fungal diseases are an emerging global problem affecting human health, food security and biodiversity. Ability of many fungal pathogens to persist within environmental reservoirs can increase extinction risks for host species and presents challenges for disease control. Understanding factors that regulate pathogen spread and persistence in these reservoirs is critical for effective disease management.
- White-nose syndrome (WNS) is a disease of hibernating bats caused by Pseudogymnoascus destructans (Pd), a fungus that establishes persistent environmental reservoirs within bat hibernacula, which contribute to seasonal disease transmission dynamics in bats. However, host and environmental factors influencing distribution of Pdwithin these reservoirs are unknown.
- We used model selection on longitudinally collected field data to test multiple hypotheses describing presence–absence and abundance of Pd in environmental substrates and on bats within hibernacula at different stages of WNS.
- First detection of Pd in the environment lagged up to 1 year after first detection on bats within that hibernaculum. Once detected, the probability of detecting Pd within environmental samples from a hibernaculum increased over time and was higher in sediment compared to wall surfaces. Temperature had marginal effects on the distribution of Pd. For bats, prevalence and abundance of Pd were highest on Myotis lucifugus and on bats with visible signs of WNS.
- Synthesis and applications. Our results indicate that distribution of Pseudogymnoascus destructans (Pd) within a hibernaculum is driven primarily by bats with delayed establishment of environmental reservoirs. Thus, collection of samples from Myotis lucifugus, or from sediment if bats cannot be sampled, should be prioritized to improve detection probabilities for Pd surveillance. Long-term persistence of Pd in sediment suggests that disease management for white-nose syndrome should address risks of sustained transmission from environmental reservoirs.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13070","usgsCitation":"Verant, M.L., Bohuski, E.A., Richgels, K.L., Olival, K.J., Epstein, J.H., and Blehert, D.S., 2018, Determinants of Pseudogymnoascus destructans within bat hibernacula: Implications for surveillance and management of white-nose syndrome: Journal of Applied Ecology, v. 55, no. 2, p. 820-829, https://doi.org/10.1111/1365-2664.13070.","productDescription":"10 p.","startPage":"820","endPage":"829","ipdsId":"IP-078933","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469050,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5877478","text":"External Repository"},{"id":350885,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418657,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77D2SP5","text":"USGS data release","description":"USGS data release","linkHelpText":"Determinants of Pseudogymnoascus destructans within bat hibernacula: data"}],"volume":"55","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-15","publicationStatus":"PW","scienceBaseUri":"5a74357fe4b0a9a2e9e25c7d","contributors":{"authors":[{"text":"Verant, Michelle L.","contributorId":201556,"corporation":false,"usgs":false,"family":"Verant","given":"Michelle","email":"","middleInitial":"L.","affiliations":[{"id":36202,"text":"School of Veterinary Medicine, University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":726377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohuski, Elizabeth A. 0000-0001-8061-2151 ebohuski@usgs.gov","orcid":"https://orcid.org/0000-0001-8061-2151","contributorId":5890,"corporation":false,"usgs":true,"family":"Bohuski","given":"Elizabeth","email":"ebohuski@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":726378,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richgels, Katherine L. D. 0000-0003-2834-9477 krichgels@usgs.gov","orcid":"https://orcid.org/0000-0003-2834-9477","contributorId":151205,"corporation":false,"usgs":true,"family":"Richgels","given":"Katherine","email":"krichgels@usgs.gov","middleInitial":"L. D.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":726379,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olival, Kevin J.","contributorId":143712,"corporation":false,"usgs":false,"family":"Olival","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":7118,"text":"EcoHealth Alliance","active":true,"usgs":false}],"preferred":false,"id":726380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Epstein, Jonathan H.","contributorId":201557,"corporation":false,"usgs":false,"family":"Epstein","given":"Jonathan","email":"","middleInitial":"H.","affiliations":[{"id":36203,"text":"Ecohealth Alliamce","active":true,"usgs":false}],"preferred":false,"id":726381,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":726376,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194986,"text":"70194986 - 2018 - Modulators of mercury risk to wildlife and humans in the context of rapid global change","interactions":[],"lastModifiedDate":"2018-02-05T15:27:15","indexId":"70194986","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":698,"text":"Ambio","active":true,"publicationSubtype":{"id":10}},"title":"Modulators of mercury risk to wildlife and humans in the context of rapid global change","docAbstract":"Environmental mercury (Hg) contamination is an urgent global health threat. The complexity of Hg in the environment can hinder accurate determination of ecological and human health risks, particularly within the context of the rapid global changes that are altering many ecological processes, socioeconomic patterns, and other factors like infectious disease incidence, which can affect Hg exposures and health outcomes. However, the success of global Hg-reduction efforts depends on accurate assessments of their effectiveness in reducing health risks. In this paper, we examine the role that key extrinsic and intrinsic drivers play on several aspects of Hg risk to humans and organisms in the environment. We do so within three key domains of ecological and human health risk. First, we examine how extrinsic global change drivers influence pathways of Hg bioaccumulation and biomagnification through food webs. Next, we describe how extrinsic socioeconomic drivers at a global scale, and intrinsic individual-level drivers, influence human Hg exposure. Finally, we address how the adverse health effects of Hg in humans and wildlife are modulated by a range of extrinsic and intrinsic drivers within the context of rapid global change. Incorporating components of these three domains into research and monitoring will facilitate a more holistic understanding of how ecological and societal drivers interact to influence Hg health risks.
","language":"English","publisher":"Springer","doi":"10.1007/s13280-017-1011-x","usgsCitation":"Eagles-Smith, C.A., Silbergeld, E.K., Basu, N., Bustamante, P., Diaz-Barriga, F., Hopkins, W., Kidd, K.A., and Nyland, J.F., 2018, Modulators of mercury risk to wildlife and humans in the context of rapid global change: Ambio, v. 47, no. 2, p. 170-197, https://doi.org/10.1007/s13280-017-1011-x.","productDescription":"18 p.","startPage":"170","endPage":"197","ipdsId":"IP-091232","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469066,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13280-017-1011-x","text":"Publisher Index Page"},{"id":350886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-31","publicationStatus":"PW","scienceBaseUri":"5a74357fe4b0a9a2e9e25c82","contributors":{"authors":[{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":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},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":726364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silbergeld, Ellen K.","contributorId":201550,"corporation":false,"usgs":false,"family":"Silbergeld","given":"Ellen","email":"","middleInitial":"K.","affiliations":[{"id":13508,"text":"Johns Hopkins Bloomberg School of Public health","active":true,"usgs":false}],"preferred":false,"id":726365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Basu, Niladri","contributorId":60085,"corporation":false,"usgs":false,"family":"Basu","given":"Niladri","email":"","affiliations":[],"preferred":false,"id":726366,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bustamante, Paco","contributorId":201551,"corporation":false,"usgs":false,"family":"Bustamante","given":"Paco","email":"","affiliations":[{"id":36199,"text":"La Rochelle University","active":true,"usgs":false}],"preferred":false,"id":726367,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diaz-Barriga, Fernando","contributorId":201552,"corporation":false,"usgs":false,"family":"Diaz-Barriga","given":"Fernando","email":"","affiliations":[{"id":36200,"text":"Universidad Autónoma de San Luis Potosí","active":true,"usgs":false}],"preferred":false,"id":726368,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hopkins, William A.","contributorId":201553,"corporation":false,"usgs":false,"family":"Hopkins","given":"William A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":726369,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kidd, Karen A.","contributorId":201554,"corporation":false,"usgs":false,"family":"Kidd","given":"Karen","email":"","middleInitial":"A.","affiliations":[{"id":25502,"text":"McMaster University","active":true,"usgs":false}],"preferred":false,"id":726370,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nyland, Jennifer F.","contributorId":201555,"corporation":false,"usgs":false,"family":"Nyland","given":"Jennifer","email":"","middleInitial":"F.","affiliations":[{"id":36201,"text":"Salisbury University","active":true,"usgs":false}],"preferred":false,"id":726371,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70195668,"text":"70195668 - 2018 - Irregular focal mechanisms observed at Salton Sea Geothermal Field: Possible influences of anthropogenic stress perturbations","interactions":[],"lastModifiedDate":"2018-02-27T11:30:49","indexId":"70195668","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Irregular focal mechanisms observed at Salton Sea Geothermal Field: Possible influences of anthropogenic stress perturbations","docAbstract":"At the Salton Sea Geothermal Field (SSGF), strain accumulation is released through seismic slip and aseismic deformation. Earthquake activity at the SSGF often occurs in swarm-like clusters, some with clear migration patterns. We have identified an earthquake sequence composed entirely of focal mechanisms representing an ambiguous style of faulting, where strikes are similar but deformation occurs due to steeply-dipping normal faults with varied stress states. In order to more accurately determine the style of faulting for these events, we revisit the original waveforms and refine estimates of P and S wave arrival times and displacement amplitudes. We calculate the acceptable focal plane solutions using P-wave polarities and S/P amplitude ratios, and determine the preferred fault plane. Without constraints on local variations in stress, found by inverting the full earthquake catalog, it is difficult to explain the occurrence of such events using standard fault-mechanics and friction. Comparing these variations with the expected poroelastic effects from local production and injection of geothermal fluids suggests that anthropogenic activity could affect the style of faulting.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings, 43rd Workshop on Geothermal Reservoir Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"43rd Workshop on Geothermal Reservoir Engineering","conferenceDate":"February 12-14, 2018","conferenceLocation":"Stanford, CA","language":"English","publisher":"Stanford University","usgsCitation":"Crandall-Bear, A., Barbour, A., and Schoenball, M., 2018, Irregular focal mechanisms observed at Salton Sea Geothermal Field: Possible influences of anthropogenic stress perturbations, in Proceedings, 43rd Workshop on Geothermal Reservoir Engineering, Stanford, CA, February 12-14, 2018, 11 p.","productDescription":"11 p.","ipdsId":"IP-094580","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":352070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352069,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/GeoConf/Abstract.php?PaperID=3863"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee742e4b0da30c1bfc1f9","contributors":{"editors":[{"text":"Schoenball, Martin","contributorId":194237,"corporation":false,"usgs":false,"family":"Schoenball","given":"Martin","affiliations":[],"preferred":false,"id":729615,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Crandall-Bear, Aren","contributorId":202788,"corporation":false,"usgs":true,"family":"Crandall-Bear","given":"Aren","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":729614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbour, Andrew J. 0000-0002-6890-2452 abarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":140443,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew J.","email":"abarbour@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":729613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoenball, Martin mschoenball@usgs.gov","contributorId":5760,"corporation":false,"usgs":true,"family":"Schoenball","given":"Martin","email":"mschoenball@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":729713,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194983,"text":"70194983 - 2018 - Limited contribution of ancient methane to surface waters of the U.S. Beaufort Sea shelf","interactions":[],"lastModifiedDate":"2018-02-01T11:47:29","indexId":"70194983","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Limited contribution of ancient methane to surface waters of the U.S. Beaufort Sea shelf","docAbstract":"In response to warming climate, methane can be released to Arctic Ocean sediment and waters from thawing subsea permafrost and decomposing methane hydrates. However, it is unknown whether methane derived from this sediment storehouse of frozen ancient carbon reaches the atmosphere. We quantified the fraction of methane derived from ancient sources in shelf waters of the U.S. Beaufort Sea, a region that has both permafrost and methane hydrates and is experiencing significant warming. Although the radiocarbon-methane analyses indicate that ancient carbon is being mobilized and emitted as methane into shelf bottom waters, surprisingly, we find that methane in surface waters is principally derived from modern-aged carbon. We report that at and beyond approximately the 30-m isobath, ancient sources that dominate in deep waters contribute, at most, 10 ± 3% of the surface water methane. These results suggest that even if there is a heightened liberation of ancient carbon–sourced methane as climate change proceeds, oceanic oxidation and dispersion processes can strongly limit its emission to the atmosphere.
","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.aao4842","usgsCitation":"Sparrow, K.J., Kessler, J.D., Southon, J.R., Garcia-Tigreros, F., Schreiner, K.M., Ruppel, C.D., Miller, J.B., Lehman, S.J., and Xu, X., 2018, Limited contribution of ancient methane to surface waters of the U.S. Beaufort Sea shelf: Science Advances, v. 4, no. 1, eaao4842; 7 p., https://doi.org/10.1126/sciadv.aao4842.","productDescription":"eaao4842; 7 p.","ipdsId":"IP-091258","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469064,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.aao4842","text":"Publisher Index Page"},{"id":350888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a743580e4b0a9a2e9e25c86","contributors":{"authors":[{"text":"Sparrow, Katy J.","contributorId":201537,"corporation":false,"usgs":false,"family":"Sparrow","given":"Katy","email":"","middleInitial":"J.","affiliations":[{"id":36190,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, New York, USA","active":true,"usgs":false}],"preferred":false,"id":726338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kessler, John D. 0000-0003-1097-6800","orcid":"https://orcid.org/0000-0003-1097-6800","contributorId":184241,"corporation":false,"usgs":false,"family":"Kessler","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":726339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Southon, John R.","contributorId":201538,"corporation":false,"usgs":false,"family":"Southon","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":36191,"text":"Keck Carbon Cycle AMS Laboratory, Department of Earth System Science, University of California Irvine, Irvine, California, USA.","active":true,"usgs":false}],"preferred":false,"id":726340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia-Tigreros, Fenix 0000-0001-8694-9046","orcid":"https://orcid.org/0000-0001-8694-9046","contributorId":194744,"corporation":false,"usgs":false,"family":"Garcia-Tigreros","given":"Fenix","email":"","affiliations":[],"preferred":false,"id":726341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schreiner, Kathryn M.","contributorId":201540,"corporation":false,"usgs":false,"family":"Schreiner","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[{"id":36192,"text":"Large Lakes Observatory, University of Minnesota Duluth, Duluth, Minnesota, USA.","active":true,"usgs":false}],"preferred":false,"id":726342,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":726337,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, John B.","contributorId":37304,"corporation":false,"usgs":true,"family":"Miller","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":726343,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lehman, Scott J.","contributorId":201559,"corporation":false,"usgs":false,"family":"Lehman","given":"Scott","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":726344,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Xu, Xiaomei","contributorId":32055,"corporation":false,"usgs":true,"family":"Xu","given":"Xiaomei","affiliations":[],"preferred":false,"id":726345,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70194981,"text":"70194981 - 2018 - Environmental DNA (eDNA): A tool for quantifying the abundant but elusive round goby (Neogobius melanostomus)","interactions":[],"lastModifiedDate":"2018-02-01T12:47:52","indexId":"70194981","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Environmental DNA (eDNA): A tool for quantifying the abundant but elusive round goby (Neogobius melanostomus)","title":"Environmental DNA (eDNA): A tool for quantifying the abundant but elusive round goby (Neogobius melanostomus)","docAbstract":"Environmental DNA (eDNA) is revolutionizing biodiversity monitoring, occupancy estimates, and real-time detections of invasive species. In the Great Lakes, the round goby (Neogobius melanostomus), an invasive benthic fish from the Black Sea, has spread to encompass all five lakes and many tributaries, outcompeting or consuming native species; however, estimates of round goby abundance are confounded by behavior and habitat preference, which impact reliable methods for estimating their population. By integrating eDNA into round goby monitoring, improved estimates of biomass may be obtainable. We conducted mesocosm experiments to estimate rates of goby DNA shedding and decay. Further, we compared eDNA with several methods of traditional field sampling to compare its use as an alternative/complementary monitoring method. Environmental DNA decay was comparable to other fish species, and first-order decay was lower at 12°C (k = 0.043) than at 19°C (k = 0.058). Round goby eDNA was routinely detected in known invaded sites of Lake Michigan and its tributaries (range log10 4.8–6.2 CN/L), but not upstream of an artificial fish barrier. Traditional techniques (mark-recapture, seining, trapping) in Lakes Michigan and Huron resulted in fewer, more variable detections than eDNA, but trapping and eDNA were correlated (Pearson R = 0.87). Additional field testing will help correlate round goby abundance with eDNA, providing insight on its role as a prey fish and its impact on food webs.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0191720","usgsCitation":"Nevers, M., Byappanahalli, M., Morris, C.C., Shively, D., Przybyla-Kelly, K., Spoljaric, A., Dickey, J., and Roseman, E.F., 2018, Environmental DNA (eDNA): A tool for quantifying the abundant but elusive round goby (Neogobius melanostomus): PLoS ONE, v. 13, no. 1, p. 1-22, https://doi.org/10.1371/journal.pone.0191720.","productDescription":"e0191720; 22 p.","startPage":"1","endPage":"22","ipdsId":"IP-091049","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469070,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0191720","text":"Publisher Index Page"},{"id":350891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350889,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GH9H6F","text":"USGS data 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,{"id":70194959,"text":"70194959 - 2018 - How could a freshwater swamp produce a chemical signature characteristic of a saltmarsh?","interactions":[],"lastModifiedDate":"2025-05-13T16:25:12.462135","indexId":"70194959","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5615,"text":"ACS Earth and Space Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"How could a freshwater swamp produce a chemical signature characteristic of a saltmarsh?","docAbstract":"Reduction–oxidation (redox) reaction conditions, which are of great importance for the soil chemistry of coastal marshes, can be temporally dynamic. We present a transect of cores from northwest Florida wherein radical postdepositional changes in the redox regime has created atypical geochemical profiles at the bottom of the sedimentary column. The stratigraphy is consistent along the transect, consisting of, from the bottom upward, carbonate bedrock, a gray clay, an organic mud section, a dense clay layer, and an upper organic mud unit representing the current saltwater marsh. However, the geochemical signature of the lower organic mud unit suggests pervasive redox reactions, although the interval has been identified as representing a freshwater marsh, an unlikely environment for such conditions. Analyses indicate that this discrepancy results from postdepositional diagenesis driven by millennial-scale environmental parameters. Rising sea level that led to the deposition of the capping clay layer, created anaerobic conditions in the freshwater swamp interval, and isolated it hydrologically from the rest of the sediment column. The subsequent infiltration of marine water into this organic material led to sulfate reduction, the buildup of H2S and FeS, and anoxic conditions. Continued sulfidation eventually resulted in euxinic conditions, as evidenced by elevated levels of Fe, S, and especially Mo, the diagnostic marker of euxinia. Because this chemical transformation occurred long after the original deposition the geochemical signature does not reflect soil chemistry at the time of deposition and cannot be used to infer syn-depositional environmental conditions, emphasizing the importance of recognizing diagenetic processes in paleoenvironmental studies.
","language":"English","publisher":"ACS","doi":"10.1021/acsearthspacechem.7b00098","usgsCitation":"McCloskey, T.A., Smith, C.G., Liu, K., Marot, M.E., and Haller, C., 2018, How could a freshwater swamp produce a chemical signature characteristic of a saltmarsh?: ACS Earth and Space Chemistry, v. 2, no. 1, p. 9-20, https://doi.org/10.1021/acsearthspacechem.7b00098.","productDescription":"12 p.","startPage":"9","endPage":"20","ipdsId":"IP-092624","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":350892,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.78,\n 29.19\n ],\n [\n -82.87,\n 29.19\n ],\n [\n -82.87,\n 29.14\n ],\n [\n -82.78,\n 29.14\n ],\n [\n -82.78,\n 29.19\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-11","publicationStatus":"PW","scienceBaseUri":"5a743582e4b0a9a2e9e25c90","contributors":{"authors":[{"text":"McCloskey, Terrence A. 0000-0003-3979-3821 tmccloskey@usgs.gov","orcid":"https://orcid.org/0000-0003-3979-3821","contributorId":200684,"corporation":false,"usgs":true,"family":"McCloskey","given":"Terrence","email":"tmccloskey@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":726296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":726297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Kam-biu","contributorId":201527,"corporation":false,"usgs":false,"family":"Liu","given":"Kam-biu","affiliations":[{"id":13050,"text":"Department of Oceanography and Coastal Sciences, Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":726298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marot, Marci E. 0000-0003-0504-315X mmarot@usgs.gov","orcid":"https://orcid.org/0000-0003-0504-315X","contributorId":2078,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","email":"mmarot@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":726299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haller, Christian","contributorId":200685,"corporation":false,"usgs":false,"family":"Haller","given":"Christian","affiliations":[],"preferred":false,"id":726300,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196629,"text":"70196629 - 2018 - Integrating future scenario‐based crop expansion and crop conditions to map switchgrass biofuel potential in eastern Nebraska, USA","interactions":[],"lastModifiedDate":"2018-04-23T10:01:33","indexId":"70196629","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1718,"text":"GCB Bioenergy","active":true,"publicationSubtype":{"id":10}},"title":"Integrating future scenario‐based crop expansion and crop conditions to map switchgrass biofuel potential in eastern Nebraska, USA","docAbstract":"Switchgrass (Panicum virgatum) has been evaluated as one potential source for cellulosic biofuel feedstocks. Planting switchgrass in marginal croplands and waterway buffers can reduce soil erosion, improve water quality, and improve regional ecosystem services (i.e. it serves as a potential carbon sink). In previous studies, we mapped high risk marginal croplands and highly erodible cropland buffers that are potentially suitable for switchgrass development, which would improve ecosystem services and minimally impact food production. In this study, we advance our previous study results and integrate future crop expansion information to develop a switchgrass biofuel potential ensemble map for current and future croplands in eastern Nebraska. The switchgrass biomass productivity and carbon benefits (i.e. NEP: net ecosystem production) for the identified biofuel potential ensemble areas were quantified. The future scenario‐based (‘A1B’) land use and land cover map for 2050, the US Geological Survey crop type and Compound Topographic Index (CTI) maps, and long‐term (1981–2010) averaged annual precipitation data were used to identify future crop expansion regions that are suitable for switchgrass development. Results show that 2528 km2 of future crop expansion regions (~3.6% of the study area) are potentially suitable for switchgrass development. The total estimated biofuel potential ensemble area (including cropland buffers, marginal croplands, and future crop expansion regions) is 4232 km2 (~6% of the study area), potentially producing 3.52 million metric tons of switchgrass biomass per year. Converting biofuel ensemble regions to switchgrass leads to potential carbon sinks (the total NEP for biofuel potential areas is 0.45 million metric tons C) and is environmentally sustainable. Results from this study improve our understanding of environmental conditions and ecosystem services of current and future cropland systems in eastern Nebraska and provide useful information to land managers to make land use decisions regarding switchgrass development.
","language":"English","publisher":"Wiley","doi":"10.1111/gcbb.12468","usgsCitation":"Gu, Y., and Wylie, B., 2018, Integrating future scenario‐based crop expansion and crop conditions to map switchgrass biofuel potential in eastern Nebraska, USA: GCB Bioenergy, v. 10, no. 2, p. 76-83, https://doi.org/10.1111/gcbb.12468.","productDescription":"8 p.","startPage":"76","endPage":"83","ipdsId":"IP-087756","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcbb.12468","text":"Publisher Index Page"},{"id":353641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.1845703125,\n 40.01078714046552\n ],\n [\n -95.30639648437499,\n 40.01078714046552\n ],\n [\n -95.30639648437499,\n 42.99661231842139\n ],\n [\n -99.1845703125,\n 42.99661231842139\n ],\n [\n -99.1845703125,\n 40.01078714046552\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-12","publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1d7","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":733834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":197161,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce K.","email":"wylie@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":733835,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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