{"pageNumber":"1054","pageRowStart":"26325","pageSize":"25","recordCount":184733,"records":[{"id":70186922,"text":"70186922 - 2016 - Spatial and ecological variation in dryland ecohydrological responses to climate change: implications for management","interactions":[],"lastModifiedDate":"2017-04-14T13:06:19","indexId":"70186922","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and ecological variation in dryland ecohydrological responses to climate change: implications for management","docAbstract":"<p><span>Ecohydrological responses to climate change will exhibit spatial variability and understanding the spatial pattern of ecological impacts is critical from a land management perspective. To quantify climate change impacts on spatial patterns of ecohydrology across shrub steppe ecosystems in North America, we asked the following question: How will climate change impacts on ecohydrology differ in magnitude and variability across climatic gradients, among three big sagebrush ecosystems (SB-Shrubland, SB-Steppe, SB-Montane), and among Sage-grouse Management Zones? We explored these potential changes for mid-century for RCP8.5 using a process-based water balance model (SOILWAT) for 898 big sagebrush sites using site- and scenario-specific inputs. We summarize changes in available soil water (ASW) and dry days, as these ecohydrological variables may be helpful in guiding land management decisions about where to geographically concentrate climate change mitigation and adaptation resources. Our results suggest that during spring, soils will be wetter in the future across the western United States, while soils will be drier in the summer. The magnitude of those predictions differed depending on geographic position and the ecosystem in question: Larger increases in mean daily spring ASW were expected for high-elevation SB-Montane sites and the eastern and central portions of our study area. The largest decreases in mean daily summer ASW were projected for warm, dry, mid-elevation SB-Montane sites in the central and west-central portions of our study area (decreases of up to 50%). Consistent with declining summer ASW, the number of dry days was projected to increase rangewide, but particularly for SB-Montane and SB-Steppe sites in the eastern and northern regions. Collectively, these results suggest that most sites will be drier in the future during the summer, but changes were especially large for mid- to high-elevation sites in the northern half of our study area. Drier summer conditions in high-elevation, SB-Montane sites may result in increased habitat suitability for big sagebrush, while those same changes will likely reduce habitat suitability for drier ecosystems. Our work has important implications for where land managers should prioritize resources for the conservation of North American shrub steppe plant communities and the species that depend on them.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1590","usgsCitation":"Palmquist, K.A., Schlaepfer, D., Bradford, J.B., and Lauenroth, W.K., 2016, Spatial and ecological variation in dryland ecohydrological responses to climate change: implications for management: Ecosphere, v. 7, no. 11, e01590; 20 p., https://doi.org/10.1002/ecs2.1590.","productDescription":"e01590; 20 p.","ipdsId":"IP-074039","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470352,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1590","text":"Publisher Index Page"},{"id":339736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-28","publicationStatus":"PW","scienceBaseUri":"58f1e0c9e4b08144348b7df4","contributors":{"authors":[{"text":"Palmquist, Kyle A.","contributorId":169517,"corporation":false,"usgs":false,"family":"Palmquist","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":691010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel R.","contributorId":105189,"corporation":false,"usgs":false,"family":"Schlaepfer","given":"Daniel R.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":691012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":691009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":691011,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191103,"text":"70191103 - 2016 - Survival and metamorphosis of larval sea lamprey (Petromyzon marinus) residing in Lakes Michigan and Huron near river mouths","interactions":[],"lastModifiedDate":"2018-03-28T11:21:45","indexId":"70191103","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Survival and metamorphosis of larval sea lamprey (<i>Petromyzon marinus</i>) residing in Lakes Michigan and Huron near river mouths","title":"Survival and metamorphosis of larval sea lamprey (Petromyzon marinus) residing in Lakes Michigan and Huron near river mouths","docAbstract":"<p><span>Although population demographics of larval lampreys in streams have been studied extensively, demographics in lake environments have not. Here, we estimated survival and rates of metamorphosis for larval sea lamprey (</span><i>Petromyzon marinus</i><span>) populations residing in the Great Lakes near river mouths (hereafter termed lentic areas). Tagged larvae were stocked and a Bayesian multi-state tag-recovery model was used to investigate population parameters associated with tag recovery, including survival and metamorphosis probabilities. Compared to previous studies of larvae in streams, larval growth in lentic areas was substantially slower (Brody growth coefficient</span><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>0.00132; estimate based on the recovery of six tagged larvae), survival was slightly greater (annual survival</span><span>&nbsp;</span><span>=</span><span>&nbsp;</span><span>63%), and the length at which 50% of the larvae would be expected to metamorphose was substantially shorter (126</span><span>&nbsp;</span><span>mm). Stochastic simulations were used to estimate the production of parasitic stage (juvenile) sea lamprey from a hypothetical population of larvae in a lentic environment. Production of juvenile sea lamprey was substantial because, even though larval growth in these environments was slow relative to stream environments, survival was high and length at metamorphosis was less. However, estimated production of juvenile sea lamprey was less for the lentic environment than for similar simulations for river environments where larvae grew faster. In circumstances where the cost to kill a larva with lampricide was equal and control funds are limited, sea lamprey control effort may be best directed toward larvae in streams with fast-growing larvae, because stream-produced larvae will most likely contribute to juvenile sea lamprey populations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2016.09.003","usgsCitation":"Johnson, N.S., Brenden, T.O., Swink, W.D., and Lipps, M.A., 2016, Survival and metamorphosis of larval sea lamprey (Petromyzon marinus) residing in Lakes Michigan and Huron near river mouths: Journal of Great Lakes Research, v. 42, no. 6, p. 1461-1469, https://doi.org/10.1016/j.jglr.2016.09.003.","productDescription":"9 p.","startPage":"1461","endPage":"1469","ipdsId":"IP-079098","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":346104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron, Lake Michigan","volume":"42","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59cb6731e4b017cf3141c690","contributors":{"authors":[{"text":"Johnson, Nicholas S. njohnson@usgs.gov","contributorId":145440,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":711228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brenden, Travis O.","contributorId":126759,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","email":"","middleInitial":"O.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":711229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swink, William D.","contributorId":126758,"corporation":false,"usgs":false,"family":"Swink","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":6595,"text":"Retired USGS Fishery Biologist","active":true,"usgs":false}],"preferred":false,"id":711230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lipps, Mathew A.","contributorId":196713,"corporation":false,"usgs":false,"family":"Lipps","given":"Mathew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":711231,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70184971,"text":"70184971 - 2016 - Status of scientific knowledge of North American sturgeon","interactions":[],"lastModifiedDate":"2017-03-16T10:48:20","indexId":"70184971","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Status of scientific knowledge of North American sturgeon","docAbstract":"<p><span>Sturgeon and paddlefish were historically the dominant large fishes in all major Northern American Rivers. All ten species have been affected the past 150 years from anthropogenic stressors such that they are considered imperiled by various jurisdictions. Status papers have been presented for each species as part of a special publication on North American Acipenseriformes. The objective of this paper is to provide a summary of the similarities and differences in life history, habitat requirements, and stressors among the species. Optimistically, this would facilitate better management of the order as a whole if management actions for one species can inform another, especially in situations where populations are too low to obtain pertinent information.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jai.13235","usgsCitation":"Haxton, T., Sulak, K.J., and Hildebrand, L., 2016, Status of scientific knowledge of North American sturgeon: Journal of Applied Ichthyology, v. 32, no. S1, p. 5-10, https://doi.org/10.1111/jai.13235.","productDescription":"6 p.","startPage":"5","endPage":"10","ipdsId":"IP-079394","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":337710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"S1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-01","publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc73e","contributors":{"authors":[{"text":"Haxton, Tim J.","contributorId":189067,"corporation":false,"usgs":false,"family":"Haxton","given":"Tim J.","affiliations":[],"preferred":false,"id":683774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sulak, Kenneth J. 0000-0002-4795-9310 ksulak@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-9310","contributorId":2217,"corporation":false,"usgs":true,"family":"Sulak","given":"Kenneth","email":"ksulak@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":683773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hildebrand, L.","contributorId":189068,"corporation":false,"usgs":false,"family":"Hildebrand","given":"L.","affiliations":[],"preferred":false,"id":683775,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185045,"text":"70185045 - 2016 - Increasing aeolian dust deposition to snowpacks in the Rocky Mountains inferred from snowpack, wet deposition, and aerosol chemistry","interactions":[],"lastModifiedDate":"2017-03-13T17:07:57","indexId":"70185045","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"Increasing aeolian dust deposition to snowpacks in the Rocky Mountains inferred from snowpack, wet deposition, and aerosol chemistry","docAbstract":"<p><span>Mountain snowpacks are a vital natural resource for ∼1.5 billion people in the northern Hemisphere, helping to meet human and ecological demand for water in excess of that provided by summer rain. Springtime warming and aeolian dust deposition accelerate snowmelt, increasing the risk of water shortages during late summer, when demand is greatest. While climate networks provide data that can be used to evaluate the effect of warming on snowpack resources, there are no established regional networks for monitoring aeolian dust deposition to snow. In this study, we test the hypothesis that chemistry of snow, wet deposition, and aerosols can be used as a surrogate for dust deposition to snow. We then analyze spatial patterns and temporal trends in inferred springtime dust deposition to snow across the Rocky Mountains, USA, for 1993–2014. Geochemical evidence, including strong correlations (r</span><sup>2</sup><span>&nbsp;≥&nbsp;0.94) between Ca</span><sup>2+</sup><span>, alkalinity, and dust concentrations in snow deposited during dust events, indicate that carbonate minerals in dust impart a strong chemical signature that can be used to track dust deposition to snow. Spatial patterns in chemistry of snow, wet deposition, and aerosols indicate that dust deposition increases from north to south in the Rocky Mountains, and temporal trends indicate that winter/spring dust deposition increased by 81% in the southern Rockies during 1993–2014. Using a multivariate modeling approach, we determined that increases in dust deposition and decreases in springtime snowfall combined to accelerate snowmelt timing in the southern Rockies by approximately 7–18 days between 1993 and 2014. Previous studies have shown that aeolian dust emissions may have doubled globally during the 20th century, possibly due to drought and land-use change. Climate projections for increased aridity in the southwestern U.S., northern Africa, and other mid-latitude regions of the northern Hemisphere suggest that aeolian dust emissions may continue to increase, compounding the risk that climate warming poses to snowpack water resources in arid/semi-arid regions of the world.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2016.06.076","usgsCitation":"Clow, D.W., Williams, M.W., and Schuster, P.F., 2016, Increasing aeolian dust deposition to snowpacks in the Rocky Mountains inferred from snowpack, wet deposition, and aerosol chemistry: Atmospheric Environment, v. 146, p. 183-194, https://doi.org/10.1016/j.atmosenv.2016.06.076.","productDescription":"12 p.","startPage":"183","endPage":"194","ipdsId":"IP-073260","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":470368,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.atmosenv.2016.06.076","text":"Publisher Index Page"},{"id":337479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9ce4b0849ce9795e7a","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Mark W.","contributorId":43046,"corporation":false,"usgs":true,"family":"Williams","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":684062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuster, Paul F. 0000-0002-8314-1372 pschuste@usgs.gov","orcid":"https://orcid.org/0000-0002-8314-1372","contributorId":1360,"corporation":false,"usgs":true,"family":"Schuster","given":"Paul","email":"pschuste@usgs.gov","middleInitial":"F.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":684063,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185040,"text":"70185040 - 2016 - Statistical comparison of methods for estimating sediment thickness from Horizontal-to-Vertical  Spectral Ratio (HVSR) seismic methods: An example from Tylerville, Connecticut, USA","interactions":[],"lastModifiedDate":"2018-08-06T12:31:12","indexId":"70185040","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Statistical comparison of methods for estimating sediment thickness from Horizontal-to-Vertical  Spectral Ratio (HVSR) seismic methods: An example from Tylerville, Connecticut, USA","docAbstract":"<p><span>Determining sediment thickness and delineating bedrock topography are important for assessing groundwater availability and characterizing contamination sites. In recent years, the horizontal-to-vertical spectral ratio (HVSR) seismic method has emerged as a non-invasive, cost-effective approach for estimating the thickness of unconsolidated sediments above bedrock. Using a three-component seismometer, this method uses the ratio of the average horizontal- and vertical-component amplitude spectrums to produce a spectral ratio curve with a peak at the fundamental resonance frequency. The HVSR method produces clear and repeatable resonance frequency peaks when there is a sharp contrast (&gt;2:1) in acoustic impedance at the sediment/bedrock boundary. Given the resonant frequency, sediment thickness can be determined either by (1) using an estimate of average local sediment shear-wave velocity or by (2) application of a power-law regression equation developed from resonance frequency observations at sites with a range of known depths to bedrock. Two frequently asked questions about the HVSR method are (1) how accurate are the sediment thickness estimates? and (2) how much do sediment thickness/bedrock depth estimates change when using different published regression equations? This paper compares and contrasts different approaches for generating HVSR depth estimates, through analysis of HVSR data acquired in the vicinity of Tylerville, Connecticut, USA.</span><br></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2016","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/SAGEEP.29-057","usgsCitation":"Johnson, C.D., and Lane, J.W., 2016, Statistical comparison of methods for estimating sediment thickness from Horizontal-to-Vertical  Spectral Ratio (HVSR) seismic methods: An example from Tylerville, Connecticut, USA, <i>in</i> Symposium on the Application of Geophysics to Engineering and Environmental Problems 2016, p. 317-323, https://doi.org/10.4133/SAGEEP.29-057.","productDescription":"7 p.","startPage":"317","endPage":"323","ipdsId":"IP-073040","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":337696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut","city":"Tylerville","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-24","publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc73c","contributors":{"authors":[{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":684035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":684036,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70185039,"text":"70185039 - 2016 - Upstream movements of Atlantic Salmon in the Lower Penobscot River, Maine following two dam removals and fish passage modifications","interactions":[],"lastModifiedDate":"2017-03-14T12:01:39","indexId":"70185039","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Upstream movements of Atlantic Salmon in the Lower Penobscot River, Maine following two dam removals and fish passage modifications","docAbstract":"<p><span>The Penobscot River Restoration Project (PRRP), to be completed in 2016, involved an extensive plan of dam removal, increases in hydroelectric capacity, and fish passage modifications to increase habitat access for diadromous species. As part of the PRRP, Great Works and Veazie dams were removed, making Milford Dam the first impediment to federally endangered Atlantic Salmon </span><i>Salmo salar</i><span>. Upstream habitat access for Atlantic Salmon is dependent upon successful and timely passage at Milford Dam because nearly all suitable spawning habitat is located upstream. In 2014 and 2015, a total of 73 adult salmon were radio-tagged to track their upstream movements through the Penobscot River to assess potential delays at (1) the dam remnants, (2) the confluence of the Stillwater Branch and the main stem of the Penobscot River below the impassable Orono Dam, and (3) the Milford Dam fish lift (installed in 2014). Movement rates through the dam remnants and the Stillwater confluence were comparable to open river reaches. Passage efficiency of the fish lift was high in both years (95% and 100%). However, fish experienced long delays at Milford Dam, with approximately one-third of fish taking more than a week to pass in each year, well below the Federal Energy Regulatory Commission passage standard of 95% within 48 h. Telemetry indicates most fish locate the fishway entrance within 5 h of arrival and were observed at the entrance at all hours of the day. These data indicate that overall transit times through the lower river were comparable to reported movement rates prior to changes to the Penobscot River due to the substantial delays seen at Milford Dam. The results of this study show that while adult Atlantic Salmon locate the new fish lift entrance quickly, passage of these fish was significantly delayed under 2014–2015 operations.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19425120.2016.1185063","usgsCitation":"Izzo, L.K., Maynard, G.A., and Zydlewski, J.D., 2016, Upstream movements of Atlantic Salmon in the Lower Penobscot River, Maine following two dam removals and fish passage modifications: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 8, no. 1, p. 448-461, https://doi.org/10.1080/19425120.2016.1185063.","productDescription":"14 p.","startPage":"448","endPage":"461","ipdsId":"IP-072944","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470381,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2016.1185063","text":"Publisher Index Page"},{"id":337493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.79981994628906,\n              44.76038647589176\n            ],\n            [\n              -68.62266540527344,\n              44.76038647589176\n            ],\n            [\n              -68.62266540527344,\n              44.990055522906864\n            ],\n            [\n              -68.79981994628906,\n              44.990055522906864\n            ],\n            [\n              -68.79981994628906,\n              44.76038647589176\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-21","publicationStatus":"PW","scienceBaseUri":"58c90124e4b0849ce97abcc3","contributors":{"authors":[{"text":"Izzo, Lisa K.","contributorId":189241,"corporation":false,"usgs":false,"family":"Izzo","given":"Lisa","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":684200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maynard, George A.","contributorId":189242,"corporation":false,"usgs":false,"family":"Maynard","given":"George","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":684201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":684034,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185043,"text":"70185043 - 2016 - Application of frequency- and time-domain electromagnetic surveys to characterize hydrostratigraphy and landfill construction at the Amargosa Desert Research Site, Beatty, Nevada","interactions":[],"lastModifiedDate":"2018-08-06T12:35:04","indexId":"70185043","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Application of frequency- and time-domain electromagnetic surveys to characterize hydrostratigraphy and landfill construction at the Amargosa Desert Research Site, Beatty, Nevada","docAbstract":"<p>In 2014 and 2015, the U.S. Geological Survey (USGS), conducted frequency-domain electromagnetic (FDEM) surveys at the USGS Amargosa Desert Research Site (ADRS), approximately 17 kilometers (km) south of Beatty, Nevada. The FDEM surveys were conducted within and adjacent to a closed low-level radioactive waste disposal site located at the ADRS. FDEM surveys were conducted on a grid of north-south and east-west profiles to assess the locations and boundaries of historically recorded waste-disposal trenches. In 2015, the USGS conducted time-domain (TDEM) soundings along a profile adjacent to the disposal site (landfill) in cooperation with the U.S. Environmental Protection Agency (USEPA), to assess the thickness and characteristics of the underlying deep unsaturated zone, and the hydrostratigraphy of the underlying saturated zone.</p><p>FDEM survey results indicate the general location and extent of the waste-disposal trenches and reveal potential differences in material properties and the type and concentration of waste in several areas of the landfill. The TDEM surveys provide information on the underlying hydrostratigraphy and characteristics of the unsaturated zone that inform the site conceptual model and support an improved understanding of the hydrostratigraphic framework. Additional work is needed to interpret the TDEM results in the context of the local and regional structural geology.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","publisherLocation":"Symposium on the application of geophysics to engineering and environmental problems 2016","doi":"10.4133/SAGEEP.29-024","usgsCitation":"White, E.A., Day-Lewis, F.D., Johnson, C.D., and Lane, J.W., 2016, Application of frequency- and time-domain electromagnetic surveys to characterize hydrostratigraphy and landfill construction at the Amargosa Desert Research Site, Beatty, Nevada, p. 119-125, https://doi.org/10.4133/SAGEEP.29-024.","productDescription":"7 p.","startPage":"119","endPage":"125","ipdsId":"IP-073130","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":337694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-24","publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc73a","contributors":{"authors":[{"text":"White, Eric A. 0000-0002-7782-146X eawhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7782-146X","contributorId":1737,"corporation":false,"usgs":false,"family":"White","given":"Eric","email":"eawhite@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":684055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":684057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":684058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":684056,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185186,"text":"70185186 - 2016 - Not all carp are created equal: Impacts of broadband sound on common carp swimming behavior","interactions":[],"lastModifiedDate":"2017-03-16T09:58:50","indexId":"70185186","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5320,"text":"Proceedings of Meetings on Acoustics","active":true,"publicationSubtype":{"id":10}},"title":"Not all carp are created equal: Impacts of broadband sound on common carp swimming behavior","docAbstract":"<p><span>Bighead carp (</span><i>Hypophthalmichthys nobilis</i><span>), </span>silver<span> carp (</span><i>H. molitrix</i><span>) (hereafter: bigheaded carps), and common carp (</span><i>Cyprinus carpio</i><span>) are invasive fish causing negative impacts throughout their North American range. To control their movements, non-physical barriers are being developed. Broadband </span>sound<span> (0.06 to 10 kHz) has shown potential as an acoustic deterrent for bigheaded carps, but the response of common carp to broadband </span>sound<span> has not been evaluated. Since common carp are ostariophysians, possessing Weberian ossicles similar to bigheaded carps, it is possible that </span>sound<span> can be used as an acoustical deterrent for all three species. Behavioral responses to a broadband </span>sound<span> were evaluated for common carp in an outdoor concrete </span>pond.<span> Common carp responded a median of 3.0 (1</span><sup>st</sup><span> Q: 1.0, 3</span><sup>rd</sup><span> Q: 6.0) consecutive times to the broadband </span>sound<span> which was lower than </span>silver<span> carp and bighead carp to the same stimulus. The current study shows that common carp demonstrate an inconsistent negative phonotaxis response to a broadband </span>sound,<span> and seem to habituate to the </span>sound<span> quickly.</span></p>","language":"English","publisher":"Acoustical Society of American ","doi":"10.1121/2.0000314","usgsCitation":"Murchy, K., Vetter, B.J., Brey, M.K., Amberg, J., Gaikowski, M., and Mensinger, A.F., 2016, Not all carp are created equal: Impacts of broadband sound on common carp swimming behavior: Proceedings of Meetings on Acoustics, v. 27, p. 1-9, https://doi.org/10.1121/2.0000314.","productDescription":"Article 010032; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-078938","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":337693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc738","contributors":{"authors":[{"text":"Murchy, Kelsie 0000-0003-3034-3488 kmurchy@usgs.gov","orcid":"https://orcid.org/0000-0003-3034-3488","contributorId":189376,"corporation":false,"usgs":true,"family":"Murchy","given":"Kelsie","email":"kmurchy@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":684654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vetter, Brooke J.","contributorId":189377,"corporation":false,"usgs":false,"family":"Vetter","given":"Brooke","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":684655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":684656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":684657,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":149357,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark P.","email":"mgaikowski@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":684658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mensinger, Allen F.","contributorId":150852,"corporation":false,"usgs":false,"family":"Mensinger","given":"Allen","email":"","middleInitial":"F.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":684659,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70184966,"text":"70184966 - 2016 - Toward a national, sustained U.S. ecosystem assessment","interactions":[],"lastModifiedDate":"2017-03-15T12:11:20","indexId":"70184966","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Toward a national, sustained U.S. ecosystem assessment","docAbstract":"<p><span>The massive investment of resources devoted to monitoring and assessment of economic and societal indicators in the United States is neither matched by nor linked to efforts to monitor and assess the ecosystem services and biodiversity that support economic and social well-being. Although national-scale assessments of biodiversity (</span><i>1</i><span>) and ecosystem indicators (</span><i>2</i><span>) have been undertaken, nearly a decade has elapsed since the last systematic assessment (</span><i>2</i><span>). A 2011 White House report called for a national biodiversity and ecosystem services assessment (</span><i>3</i><span>), but the initiative has stalled. Our aim here is to stimulate the process and outline a credible framework and pathway for an ongoing assessment of ecosystem functioning (see the photo). A national assessment should engage diverse stakeholders from multiple sectors of society and should focus on metrics and analyses of direct relevance to policy decisions, from local to national levels. Although many technical or science-focused components are in place, they need to be articulated, distilled, and organized to address policy issues.</span></p>","language":"English","publisher":"Science","doi":"10.1126/science.aah5750","usgsCitation":"Jackson, S.T., Duke, C.S., Hampton, S.E., Jacobs, K.L., Joppa, L.N., Kassam, K.S., Mooney, H.A., Ogden, L.A., Ruckelshaus, M., and Shogren, J.F., 2016, Toward a national, sustained U.S. ecosystem assessment: Science, v. 354, no. 6314, p. 838-839, https://doi.org/10.1126/science.aah5750.","productDescription":"2 p.","startPage":"838","endPage":"839","ipdsId":"IP-079823","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":337616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"354","issue":"6314","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52cce4b0849ce97c869e","contributors":{"authors":[{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":683731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duke, Clifford S.","contributorId":189054,"corporation":false,"usgs":false,"family":"Duke","given":"Clifford","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":683732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hampton, Stephanie E.","contributorId":178718,"corporation":false,"usgs":false,"family":"Hampton","given":"Stephanie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":683733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobs, Katharine L.","contributorId":189055,"corporation":false,"usgs":false,"family":"Jacobs","given":"Katharine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":683734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Joppa, Lucas N.","contributorId":99905,"corporation":false,"usgs":false,"family":"Joppa","given":"Lucas","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":683735,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kassam, Karim-Aly S. K.","contributorId":189056,"corporation":false,"usgs":false,"family":"Kassam","given":"Karim-Aly","email":"","middleInitial":"S. K.","affiliations":[],"preferred":false,"id":683736,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mooney, Harold A.","contributorId":172852,"corporation":false,"usgs":false,"family":"Mooney","given":"Harold","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":683737,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ogden, Laura A.","contributorId":189057,"corporation":false,"usgs":false,"family":"Ogden","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":683738,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruckelshaus, Mary","contributorId":189058,"corporation":false,"usgs":false,"family":"Ruckelshaus","given":"Mary","affiliations":[],"preferred":false,"id":683739,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shogren, Jason F.","contributorId":189059,"corporation":false,"usgs":false,"family":"Shogren","given":"Jason","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":683740,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70170146,"text":"70170146 - 2016 - Iron and oxygen isotope signatures of the Pea Ridge and Pilot Knob magnetite-apatite deposits, southeast Missouri, USA","interactions":[],"lastModifiedDate":"2017-04-14T11:04:57","indexId":"70170146","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Iron and oxygen isotope signatures of the Pea Ridge and Pilot Knob magnetite-apatite deposits, southeast Missouri, USA","docAbstract":"<p><span>New O and Fe stable isotope ratios are reported for magnetite samples from high-grade massive magnetite of the Mesoproterozoic Pea Ridge and Pilot Knob magnetite-apatite ore deposits and these results are compared with data for other iron oxide-apatite deposits to shed light on the origin of the southeast Missouri deposits. The </span><i>δ</i><sup>18</sup><span>O values of magnetite from Pea Ridge (</span><i>n</i><span> = 12) and Pilot Knob (</span><i>n</i><span> = 3) range from 1.0 to 7.0 and 3.3 to 6.7‰, respectively. The </span><i>δ</i><sup>56</sup><span>Fe values of magnetite from Pea Ridge (</span><i>n</i><span> = 10) and Pilot Knob (</span><i>n</i><span> = 6) are 0.03 to 0.35 and 0.06 to 0.27‰, respectively. These </span><i>δ</i><sup>18</sup><span>O and the </span><i>δ</i><sup>56</sup><span>Fe values suggest that magnetite crystallized from a silicate melt (typical igneous </span><i>δ</i><sup>56</sup><span>Fe ranges 0.06–0.49‰) and grew in equilibrium with a magmatic-hydrothermal aqueous fluid. We propose that the </span><i>δ</i><sup>18</sup><span>O and </span><i>δ</i><sup>56</sup><span>Fe data for the Pea Ridge and Pilot Knob magnetite-apatite deposits are consistent with the flotation model recently proposed by </span><span id=\"xref-ref-36-1\" class=\"xref-bibr\">Knipping et al. (2015a)</span><span>, which invokes flotation of a magmatic magnetite-fluid suspension and offers a plausible explanation for the igneous (i.e., up to ~15.9 wt % TiO</span><sub>2</sub><span> in magnetite) and hydrothermal features of the deposits.</span></p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.111.8.2033","usgsCitation":"Childress, T., Simon, A.C., Day, W.C., Lundstrom, C.C., and Bindeman, I.N., 2016, Iron and oxygen isotope signatures of the Pea Ridge and Pilot Knob magnetite-apatite deposits, southeast Missouri, USA: Economic Geology, v. 111, no. 8, p. 2033-2044, https://doi.org/10.2113/econgeo.111.8.2033.","productDescription":"12 p.","startPage":"2033","endPage":"2044","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074047","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":339731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-16","publicationStatus":"PW","scienceBaseUri":"58f1e0c9e4b08144348b7dfa","contributors":{"authors":[{"text":"Childress, Tristan","contributorId":168528,"corporation":false,"usgs":false,"family":"Childress","given":"Tristan","affiliations":[{"id":6649,"text":"University of Michigan, School of Natural Resources and Environment","active":true,"usgs":false}],"preferred":false,"id":626277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simon, Adam C.","contributorId":27573,"corporation":false,"usgs":true,"family":"Simon","given":"Adam","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":626278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":626276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lundstrom, Craig C.","contributorId":168529,"corporation":false,"usgs":false,"family":"Lundstrom","given":"Craig","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":626279,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bindeman, Ilya N.","contributorId":7992,"corporation":false,"usgs":true,"family":"Bindeman","given":"Ilya","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":626280,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188105,"text":"70188105 - 2016 - Anti-dog IgG secondary antibody successfully detects IgG in a variety of aquatic mammals","interactions":[],"lastModifiedDate":"2017-05-31T12:52:53","indexId":"70188105","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2514,"text":"Journal of Zoo and Wildlife Medicine","active":true,"publicationSubtype":{"id":10}},"title":"Anti-dog IgG secondary antibody successfully detects IgG in a variety of aquatic mammals","docAbstract":"<p><span>Serological tests play an important role in the detection of wildlife diseases. However, while there are many commercial assays and reagents available for domestic species, there is a need to develop efficient serological assays for wildlife. In recent years, marine mammals have represented a wildlife group with emerging infectious diseases, such as influenza, brucellosis, and leptospirosis. However, with the exception of disease-agent-specific assays or functional assays, few reports describe the use of antibody detection assays in marine mammals. In an indirect enzyme-linked immunoassay (EIA) or an immunofluorescence assay, antibody is detected using an antitarget species secondary conjugated antibody. The sensitivity of the assay depends on the avidity of the binding reaction between the bound antibody and the detection antibody. A commercial polyclonal antidog IgG conjugated antibody was tested in an EIA for its ability to sensitively detect the IgG of seven marine mammals including sea otter (</span><i><i>Enhydra lutris</i></i><span>), polar bear (</span><i><i>Ursus maritimus</i></i><span>), grey seal (</span><i><i>Halichoerus grypus</i></i><span>), harbor seal (</span><i><i>Phoca vitulina</i></i><span>), northern elephant seal (</span><i><i>Mirounga angustirostris</i></i><span>), California sea lion (</span><i><i>Zalophus californianus</i></i><span>), Pacific walrus (</span><i><i>Odobenus rosmarus</i></i><span>) and one freshwater mammal: Asian small-clawed otter (</span><i><i>Aonyx cinerea</i></i><span>). With the exception of Asian small-clawed sea otters, the detection of IgG in these marine mammals either exceeded or was nearly equal to detection of dog IgG. The use of the tested commercial antidog IgG antibody may be a valid approach to the detection of antibody response to disease in sea mammals.</span></p>","language":"English","publisher":"American Association of Zoo Veterinarians","doi":"10.1638/2015-0179.1","usgsCitation":"Roehl, K., Jankowski, M.D., and Hofmeister, E.K., 2016, Anti-dog IgG secondary antibody successfully detects IgG in a variety of aquatic mammals: Journal of Zoo and Wildlife Medicine, v. 47, no. 4, p. 970-976, https://doi.org/10.1638/2015-0179.1.","productDescription":"7 p.","startPage":"970","endPage":"976","ipdsId":"IP-073009","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":341929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592fd63ee4b0e9bd0ea896f6","contributors":{"authors":[{"text":"Roehl, Katherine","contributorId":192526,"corporation":false,"usgs":false,"family":"Roehl","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":696719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jankowski, Mark","contributorId":149535,"corporation":false,"usgs":false,"family":"Jankowski","given":"Mark","affiliations":[{"id":17765,"text":"Present address: Minnesota Pollution Control Agency, 520 Lafayette Road N., St. Paul, MN 55155","active":true,"usgs":false}],"preferred":false,"id":696720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696718,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188106,"text":"70188106 - 2016 - Gray wolf exposure to emerging vector-borne diseases in Wisconsin with comparison to domestic dogs and humans","interactions":[],"lastModifiedDate":"2017-05-31T13:50:52","indexId":"70188106","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Gray wolf exposure to emerging vector-borne diseases in Wisconsin with comparison to domestic dogs and humans","docAbstract":"<p><span>World-wide concern over emerging vector-borne diseases has increased in recent years for both animal and human health. In the United Sates, concern about vector-borne diseases in canines has focused on Lyme disease, anaplasmosis, ehrlichiosis, and heartworm which infect domestic and wild canids. Of these diseases, Lyme and anaplasmosis are also frequently diagnosed in humans. Gray wolves (</span><i>Canis lupus</i><span>) recolonized Wisconsin in the 1970s, and we evaluated their temporal and geographic patterns of exposure to these four vector-borne diseases in Wisconsin as the population expanded between 1985 and 2011. A high proportion of the Wisconsin wolves were exposed to the agents that cause Lyme (65.6%) and anaplasma (47.7%), and a smaller proportion to ehrlichiosis (5.7%) and infected with heartworm (9.2%). Wolf exposure to tick borne diseases was consistently higher in older animals. Wolf exposure was markedly higher than domestic dog (</span><i>Canis familiaris</i><span>) exposure for all 4 disease agents during 2001–2013. We found a cluster of wolf exposure to </span><i>Borrelia burgdorferi</i><span> in northwestern Wisconsin, which overlaps human and domestic dog clusters for the same pathogen. In addition, wolf exposure to Lyme disease in Wisconsin has increased, corresponding with the increasing human incidence of Lyme disease in a similar time period. Despite generally high prevalence of exposure none of these diseases appear to have slowed the growth of the Wisconsin wolf population.</span></p>","language":"English","publisher":"PLOS ONE","doi":"10.1371/journal.pone.0165836","usgsCitation":"Jara, R.F., Wydeven, A.P., and Samuel, M.D., 2016, Gray wolf exposure to emerging vector-borne diseases in Wisconsin with comparison to domestic dogs and humans: PLoS ONE, v. 11, no. 11, p. 1-17, https://doi.org/10.1371/journal.pone.0165836.","productDescription":"e0165836; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-077140","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470393,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0165836","text":"Publisher Index Page"},{"id":341945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70181015,"text":"70181015 - 2016 - Genome sequence of the photoarsenotrophic bacterium Ectothiorhodospira sp. strain BSL-9, isolated from a hypersaline alkaline arsenic-rich extreme environment","interactions":[],"lastModifiedDate":"2017-02-20T12:12:06","indexId":"70181015","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5099,"text":"Genome Announcements","active":true,"publicationSubtype":{"id":10}},"title":"Genome sequence of the photoarsenotrophic bacterium Ectothiorhodospira sp. strain BSL-9, isolated from a hypersaline alkaline arsenic-rich extreme environment","docAbstract":"<p><span>The full genome sequence of </span><i>Ectothiorhodospira</i><span> sp. strain BSL-9 is reported here. This purple sulfur bacterium encodes an </span><i>arxA</i><span>-type arsenite oxidase within the </span><i>arxB2AB1CD</i><span> gene island and is capable of carrying out “photoarsenotrophy” anoxygenic photosynthetic arsenite oxidation. Its genome is composed of 3.5&nbsp;Mb and has approximately 63% G+C content.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/genomeA.01139-16","usgsCitation":"Hernandez-Maldonado, J., Stoneburner, B., Boren, A., Miller, L., Rosen, M.R., Oremland, R.S., and Saltikov, C.W., 2016, Genome sequence of the photoarsenotrophic bacterium Ectothiorhodospira sp. strain BSL-9, isolated from a hypersaline alkaline arsenic-rich extreme environment: Genome Announcements, v. 4, no. 5, p. 1-2, https://doi.org/10.1128/genomeA.01139-16.","productDescription":"e01139-16; 2 p.","startPage":"1","endPage":"2","ipdsId":"IP-079139","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470386,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/genomea.01139-16","text":"Publisher Index Page"},{"id":335840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ac0e2de4b0ce4410e7d5f6","contributors":{"authors":[{"text":"Hernandez-Maldonado, Jaime","contributorId":179303,"corporation":false,"usgs":false,"family":"Hernandez-Maldonado","given":"Jaime","email":"","affiliations":[],"preferred":false,"id":663289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoneburner, Brendon","contributorId":174071,"corporation":false,"usgs":false,"family":"Stoneburner","given":"Brendon","email":"","affiliations":[{"id":27354,"text":"University of California Santa Cruz, Department of Microbiology and Environmental Toxicology","active":true,"usgs":false}],"preferred":false,"id":663290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boren, Alison","contributorId":174072,"corporation":false,"usgs":false,"family":"Boren","given":"Alison","email":"","affiliations":[],"preferred":false,"id":663291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Laurence lgmiller@usgs.gov","contributorId":145772,"corporation":false,"usgs":true,"family":"Miller","given":"Laurence","email":"lgmiller@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":663292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":663293,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":663288,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Saltikov, Chad W","contributorId":179304,"corporation":false,"usgs":false,"family":"Saltikov","given":"Chad","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":663294,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70182771,"text":"70182771 - 2016 - Evolutionary traps as keys to understanding behavioral maladaptation","interactions":[],"lastModifiedDate":"2017-03-01T12:36:53","indexId":"70182771","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5307,"text":"Current Opinion in Behavioral Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Evolutionary traps as keys to understanding behavioral maladaptation","docAbstract":"<p><span>Evolutionary traps are severe cases of behavioral maladaptation that occur when, due to human activity, the cues animals use to guide their behavior become uncoupled from their fitness consequences. The result is that animals can prefer the most dangerous resources or behaviors, even when better options are available. Traps are increasingly common and represent a significant wildlife conservation problem. Understanding of the more proximate sensory-cognitive mechanisms underpinning traps remains poor, which highlights the need for interdisciplinary and collaborative approaches to investigating traps. Key to advancing basic trap theory and its conservation applications will be the development of appropriate and tractable model systems to investigate the mechanisms that cause traps within species, and how mechanisms vary across species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cobeha.2016.08.007","usgsCitation":"Robertson, B.A., and Chalfoun, A., 2016, Evolutionary traps as keys to understanding behavioral maladaptation: Current Opinion in Behavioral Sciences, v. 12, p. 12-17, https://doi.org/10.1016/j.cobeha.2016.08.007.","productDescription":"6 p.","startPage":"12","endPage":"17","ipdsId":"IP-074196","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":336749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba5e4b01ccd5500baef","contributors":{"authors":[{"text":"Robertson, Bruce A.","contributorId":171947,"corporation":false,"usgs":false,"family":"Robertson","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":680422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna","contributorId":184161,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","affiliations":[],"preferred":false,"id":673693,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182518,"text":"70182518 - 2016 - Hanging out at the airport: Unusual upside-down perching behavior by Eurasian Jackdaws (Corvus monedula) in a human-dominated environment","interactions":[],"lastModifiedDate":"2018-03-26T11:49:17","indexId":"70182518","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Hanging out at the airport: Unusual upside-down perching behavior by Eurasian Jackdaws (<i>Corvus monedula</i>) in a human-dominated environment","title":"Hanging out at the airport: Unusual upside-down perching behavior by Eurasian Jackdaws (Corvus monedula) in a human-dominated environment","docAbstract":"<p><span>Animals occupying human-dominated environments show the capacity for behavioral flexibility. Corvids are among the most intelligent synanthropic bird species. During a layover at Schipol Airport in Amsterdam, Netherlands, I photographically documented Eurasian Jackdaws (</span><i><i>Corvus monedula</i>)</i><span> perching upside down from a building cornice. In contrast to other reports of hanging birds, these jackdaws did not forage or play while upside down and appeared to use the perching spot to observe their surroundings. Although Corvids and Psittacines are known to hang upside down, especially in captive situations, such behaviors are rarely documented in the wild, and never before in association with human-built structures.</span></p>","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/15-211.1","usgsCitation":"Katzner, T., 2016, Hanging out at the airport: Unusual upside-down perching behavior by Eurasian Jackdaws (Corvus monedula) in a human-dominated environment: Wilson Journal of Ornithology, v. 128, no. 4, p. 926-930, https://doi.org/10.1676/15-211.1.","productDescription":"5 p.","startPage":"926","endPage":"930","ipdsId":"IP-071449","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":336169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b15439e4b01ccd54fc5e9f","contributors":{"authors":[{"text":"Katzner, Todd E.","contributorId":18893,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","affiliations":[],"preferred":false,"id":671386,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70179439,"text":"70179439 - 2016 - Observed and simulated hydrologic response for a first-order catchment during extreme rainfall 3 years after wildfire disturbance","interactions":[],"lastModifiedDate":"2017-03-15T14:54:06","indexId":"70179439","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Observed and simulated hydrologic response for a first-order catchment during extreme rainfall 3 years after wildfire disturbance","docAbstract":"Hydrologic response to extreme rainfall in disturbed landscapes is poorly understood because of the paucity of measurements. A unique opportunity presented itself when extreme rainfall in September 2013 fell on a headwater catchment (i.e., <1 ha) in Colorado, USA that had previously been burned by a wildfire in 2010. We compared measurements of soil-hydraulic properties, soil saturation from subsurface sensors, and estimated peak runoff during the extreme rainfall with numerical simulations of runoff \r\ngeneration and subsurface hydrologic response during this event. The simulations were used to explore differences in runoff generation between the wildfire-affected headwater catchment, a simulated unburned case, and for uniform versus spatially variable parameterizations of soil-hydraulic properties that affect infiltration and runoff generation in burned landscapes. Despite 3 years of elapsed time since the 2010 wildfire, observations and simulations pointed to substantial surface runoff generation in the wildfire-affected headwater catchment by the infiltration-excess mechanism while no surface runoff was generated in the unburned case. The surface runoff generation was the result of incomplete recovery of\r\nsoil-hydraulic properties in the burned area, suggesting recovery takes longer than 3 years. Moreover, spatially variable soil-hydraulic property parameterizations produced longer duration but lower peak-flow infiltration-excess runoff, compared to uniform parameterization, which may have important hillslope sediment export and geomorphologic implications during long duration, extreme rainfall. The majority of \r\nthe simulated surface runoff in the spatially variable cases came from connected near-channel contributing areas, which was a substantially smaller contributing area than the uniform simulations.","language":"English","publisher":"AGU","doi":"10.1002/2016WR019110","usgsCitation":"Ebel, B.A., Rengers, F.K., and Tucker, G.E., 2016, Observed and simulated hydrologic response for a first-order catchment during extreme rainfall 3 years after wildfire disturbance: Water Resources Research, v. 52, no. 12, p. 9367-9389, https://doi.org/10.1002/2016WR019110.","productDescription":"23 p.","startPage":"9367","endPage":"9389","ipdsId":"IP-075768","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470420,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/53059","text":"External Repository"},{"id":337656,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-07","publicationStatus":"PW","scienceBaseUri":"58ca52cde4b0849ce97c86a2","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":657196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":657197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Gregory E.","contributorId":177811,"corporation":false,"usgs":false,"family":"Tucker","given":"Gregory","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":657198,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191980,"text":"70191980 - 2016 - Application of activity sensors for estimating behavioral patterns","interactions":[],"lastModifiedDate":"2017-10-19T11:09:20","indexId":"70191980","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Application of activity sensors for estimating behavioral patterns","docAbstract":"<p><span>The increasing use of Global Positioning System (GPS) collars in habitat selection studies provides large numbers of precise location data points with reduced field effort. However, inclusion of activity sensors in many GPS collars also grants the potential to remotely estimate behavioral state. Thus, only using GPS collars to collect location data belies their full capabilities. Coupling behavioral state with location data would allow researchers and managers to refine habitat selection models by using diel behavioral state changes to partition fine-scale temporal shifts in habitat selection. We tested the capability of relatively unsophisticated GPS-collar activity sensors to estimate behavior throughout diel periods using free-ranging female elk (</span><i>Cervus canadensis</i><span>) in the Jemez Mountains of north-central New Mexico, USA, 2013–2014. Collars recorded cumulative number of movements (hits) per 15-min recording period immediately preceding GPS fixes at 0000, 0600, 1200, and 1800 hr. We measured diel behavioral patterns of focal elk, categorizing active (i.e., foraging, traveling, vigilant, grooming) and inactive (i.e., resting) states. Active behaviors (foraging, traveling) produced more average hits (0.87 ± 0.69 hits/min, 4.0 ± 2.2 hits/min, respectively; 95% CI) and inactive (resting) behavior fewer hits (−1.1 ± 0.61 95% CI). We differentiated active and inactive behavioral states with a bootstrapped threshold of 5.9 ± 3.9 hits/15-min recording period. Mean cumulative activity-sensor hits corresponded with observed diel behavioral patterns: hits increased during crepuscular (0600, 1800 hr) observations when elk were most active (0000–0600 hr:<span>&nbsp;</span></span><i>d </i><span>= 0.19; 1200–1800 hr:<span>&nbsp;</span></span><i>d </i><span>= 0.64) and decreased during midday and night (0000 hr, 1200 hr) when elk were least active (1800–0000 hr:<span>&nbsp;</span></span><i>d </i><span>= −0.39; 0600–1200 hr:<span>&nbsp;</span></span><i>d </i><span>= −0.43). Even using relatively unsophisticated GPS-collar activity sensors, managers can remotely estimate behavioral states, approximate diel behavioral patterns, and potentially complement location data in developing habitat selection models.</span></p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/wsb.717","usgsCitation":"Roberts, C.P., Cain, J.W., and Cox, R.D., 2016, Application of activity sensors for estimating behavioral patterns: Wildlife Society Bulletin, v. 40, no. 4, p. 764-771, https://doi.org/10.1002/wsb.717.","productDescription":"8 p.","startPage":"764","endPage":"771","ipdsId":"IP-073791","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500012,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/98820d4696184f24abba83a7368a9360","text":"External Repository"},{"id":346951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains, Valles Caldera National Preserve","volume":"40","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-04","publicationStatus":"PW","scienceBaseUri":"59e9b997e4b05fe04cd65cc3","contributors":{"authors":[{"text":"Roberts, Caleb P. 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":197604,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","middleInitial":"P.","affiliations":[],"preferred":false,"id":713899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, Robert D.","contributorId":26240,"corporation":false,"usgs":true,"family":"Cox","given":"Robert","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":713900,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193341,"text":"70193341 - 2016 - Assessing Brook Trout populations in headwater streams of the Adirondack Mountains using environmental DNA -- Summary report","interactions":[],"lastModifiedDate":"2017-12-21T10:14:14","indexId":"70193341","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5590,"text":"NYSERDA Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"17-02","title":"Assessing Brook Trout populations in headwater streams of the Adirondack Mountains using environmental DNA -- Summary report","docAbstract":"<p>This project evaluated standard fish-survey and environmental DNA (eDNA) sampling methods to determine the ability of eDNA to accurately predict the presence and abundance of resident Brook Trout populations in 40 headwater streams mainly in the western Adirondack Mountains during 2014–2015 (Figure 2). Standard 3-pass electrofishing surveys found that Brook Trout were absent from about 25 percent of study sites, and at low densities in 25 percent of sites, moderate densities in 25 percent of sites, and high densities in 25 percent of sites. Environmental DNA results correctly predicted the presence/absence of Brook Trout in 85.0 to 92.5 percent of study sites and explained 44.0 percent of the variability in density and 24 percent of the variability in biomass of their populations. The findings indicate that eDNA surveys will enable researchers to effectively characterize the presence as well as the abundance of Brook Trout and other species populations in headwater streams across the Adirondack Mountains and elsewhere.</p>","language":"English","publisher":"New York State Energy Research and Development Authority","usgsCitation":"Baldigo, B.P., George, S.D., Sporn, L.A., and Ball, J., 2016, Assessing Brook Trout populations in headwater streams of the Adirondack Mountains using environmental DNA -- Summary report: NYSERDA Report 17-02, iv, 13 p.","productDescription":"iv, 13 p.","ipdsId":"IP-084709","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":350150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347922,"type":{"id":11,"text":"Document"},"url":"https://www.nyserda.ny.gov/-/media/Files/Publications/Research/Environmental/17-02-Environmental-DNA-Brook-Trout.pdf","text":"Report","size":"3.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.5,\n              43.2\n            ],\n            [\n              -73.8,\n              43.2\n            ],\n            [\n              -73.8,\n              44.4\n            ],\n            [\n              -75.5,\n              44.4\n            ],\n            [\n              -75.5,\n              43.2\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc7de4b06e28e9c23f0c","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":718756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":725310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sporn, Lee Ann","contributorId":199350,"corporation":false,"usgs":false,"family":"Sporn","given":"Lee","email":"","middleInitial":"Ann","affiliations":[],"preferred":false,"id":718757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ball, Jacob","contributorId":177389,"corporation":false,"usgs":false,"family":"Ball","given":"Jacob","email":"","affiliations":[],"preferred":false,"id":725311,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179733,"text":"70179733 - 2016 - Genetic variation and  structure in remnant population of critically endangered Melicope zahlbruckneri","interactions":[],"lastModifiedDate":"2018-01-04T12:36:31","indexId":"70179733","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5265,"text":"Journal of Biodiversity & Endangered Species","active":true,"publicationSubtype":{"id":10}},"title":"Genetic variation and  structure in remnant population of critically endangered Melicope zahlbruckneri","docAbstract":"<p><span>The distribution and amount of genetic variation within and between populations of plant species are important for their adaptability to future habitat changes and also critical for their restoration and overall management. This study was initiated to assess the genetic status of the remnant population of Melicope zahlbruckneri–a critically endangered species in Hawaii, and determine the extent of genetic variation and diversity in order to propose valuable conservation approaches. Estimated genetic structure of individuals based on molecular marker allele frequencies identified genetic groups with low overall differentiation but identified the most genetically diverse individuals within the population. Analysis of Amplified Fragment Length Polymorphic (AFLP) marker loci in the population based on Bayesian model and multivariate statistics classified the population into four subgroups. We inferred a mixed species population structure based on Bayesian clustering and frequency of unique alleles. The percentage of Polymorphic Fragment (PPF) ranged from 18.8 to 64.6% for all marker loci with an average of 54.9% within the population. Inclusion of all surviving M. zahlbruckneri trees in future restorative planting at new sites are suggested, and approaches for longer term maintenance of genetic variability are discussed. To our knowledge, this study represents the first report of molecular genetic analysis of the remaining population of M. zahlbruckneri and also illustrates the importance of genetic variability for conservation of a small endangered population.</span></p>","language":"English","publisher":"OMICS International","doi":"10.4172/2332-2543.1000175","usgsCitation":"Raji, J., and Atkinson, C.T., 2016, Genetic variation and  structure in remnant population of critically endangered Melicope zahlbruckneri: Journal of Biodiversity & Endangered Species, v. 4, no. 3, p. 1-8, https://doi.org/10.4172/2332-2543.1000175.","productDescription":"Article 1000175; 8 p.","startPage":"1","endPage":"8","ipdsId":"IP-080087","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":470358,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4172/2332-2543.1000175","text":"Publisher Index Page"},{"id":333237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"587f3c13e4b0d96de2564543","contributors":{"authors":[{"text":"Raji, J. A.","contributorId":178331,"corporation":false,"usgs":false,"family":"Raji","given":"J. A.","affiliations":[],"preferred":false,"id":658464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":658463,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178070,"text":"fs20163096 - 2016 - Selected streambed sediment compounds and water toxicity results for Westside Creeks, San Antonio, Texas, 2014","interactions":[],"lastModifiedDate":"2016-12-01T13:36:42","indexId":"fs20163096","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3096","title":"Selected streambed sediment compounds and water toxicity results for Westside Creeks, San Antonio, Texas, 2014","docAbstract":"<h1>Introduction</h1><p>The Alazán, Apache, Martínez, and San Pedro Creeks in San Antonio, Texas, are part of a network of urban tributaries to the San Antonio River, known locally as the Westside Creeks. The Westside Creeks flow through some of the oldest neighborhoods in San Antonio. The disruption of streambed sediment is anticipated during a planned restoration to improve and restore the environmental condition of 14 miles of channelized sections of the Westside Creeks in San Antonio. These construction activities can create the potential to reintroduce chemicals found in the sediments into the ecosystem where, depending on hydrologic and environmental conditions, they could become bioavailable and toxic to aquatic life. Elevated concentrations of sediment-associated contaminants often are measured in urban areas such as San Antonio, Tex. Contaminants found in sediment can affect the health of aquatic organisms that ingest sediment. The gradual accumulation of trace elements and organic compounds in aquatic organisms can cause various physiological issues and can ultimately result in death of the aquatic organisms; in addition, subsequent ingestion of aquatic organisms can transfer the accumulated contaminants upward through the food chain (a process called biomagnification).</p><p>The U.S. Geological Survey, in cooperation with the San Antonio River Authority, collected sediment samples and water samples for toxicity testing from sites on the Westside Creeks as part of an initial characterization of selected contaminants in the study area. Samples were collected in January 2014 during base-flow conditions and again in May 2104 after a period of&nbsp;stormwater runoff (poststorm conditions). Sediment samples were analyzed for selected constituents, including trace elements and organic contaminants such as pesticides, brominated flame retardants, polychlorinated biphenyls (PCBs), and polycyclic aromatic hydrocarbons (PAHs). In addition, as an indicator of ecological health (and possibly bioavailability of contaminants in disturbed streambed sediments), the toxicity of water samples to the indicator species <i>Pimephales promelas</i> (fathead minnow) was evaluated by using standard 7-day water-toxicity testing.</p>","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163096","collaboration":"Prepared in cooperation with the San Antonio River Authority","usgsCitation":"Crow, C.L., Wilson, J.T., and Kunz, J.L., 2016, Selected streambed sediment compounds and water toxicity results for Westside Creeks, San Antonio, Texas, 2014: U.S. Geological Survey Fact Sheet 2016–3096, 4 p., https://doi.org/10.3133/fs20163096.","productDescription":"Document: 4 p.; Companion File","startPage":"1","endPage":"4","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-079315","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":331371,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3096/fs20163096_SpanishVersion.pdf","text":"Spanish Fact Sheet","size":"613 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3096 Spanish Version"},{"id":331374,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2016/5136/sir20165136.pdf","text":"SIR 2016–5136","size":"8.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5136"},{"id":331370,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3096/fs20163096.pdf","text":"English Fact Sheet","size":"667 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3096 English Version"},{"id":331369,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3096/coverthb.jpg"}],"country":"United States","state":"Texas","city":"San Antonio","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.604167,\n              29.475\n            ],\n            [\n              -98.604167,\n              29.3625\n            ],\n            [\n              -98.454167,\n              29.3625\n            ],\n            [\n              -98.454167,\n              29.475\n            ],\n            [\n              -98.604167,\n              29.475\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Texas Water Science Center<br>U.S. Geological Survey<br>1505 Ferguson Lane &nbsp;<br>Austin, Texas 78754–4501</p><p><a href=\"http://tx.usgs.gov/\" data-mce-href=\"http://tx.usgs.gov/\">http://tx.usgs.gov/</a></p>","tableOfContents":"<ul><li>Introduction<br></li><li>Sediment Quality Results<br></li><li>Water Toxicity Results<br></li><li>References<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-12-01","noUsgsAuthors":false,"publicationDate":"2016-12-01","publicationStatus":"PW","scienceBaseUri":"584144dde4b04fc80e507388","contributors":{"authors":[{"text":"Crow, Cassi L. 0000-0002-1279-2485 ccrow@usgs.gov","orcid":"https://orcid.org/0000-0002-1279-2485","contributorId":1666,"corporation":false,"usgs":true,"family":"Crow","given":"Cassi","email":"ccrow@usgs.gov","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Jennifer T. 0000-0003-4481-6354 jenwilso@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-6354","contributorId":1782,"corporation":false,"usgs":true,"family":"Wilson","given":"Jennifer","email":"jenwilso@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":654594,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70184451,"text":"70184451 - 2016 - Environmental implications of the use of sulfidic back-bay sediments for dune reconstruction — Lessons learned post Hurricane Sandy","interactions":[],"lastModifiedDate":"2018-08-07T12:19:42","indexId":"70184451","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","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":"Environmental implications of the use of sulfidic back-bay sediments for dune reconstruction — Lessons learned post Hurricane Sandy","docAbstract":"<p><span>Some barrier-island dunes damaged or destroyed by Hurricane Sandy's storm surges in October 2012 have been reconstructed using sediments dredged from back bays. These sand-, clay-, and iron sulfide-rich sediments were used to make berm-like cores for the reconstructed dunes, which were then covered by beach sand. In November 2013, we sampled and analyzed partially weathered materials collected from the cores of reconstructed dunes. There are generally low levels of metal toxicants in the reconstructed dune materials. However oxidation of reactive iron sulfides by percolating rainwater produces acid-sulfate pore waters, which evaporate during dry periods to produce efflorescent gypsum and sodium jarosite salts. The results suggest use of sulfidic sediments in dune reconstruction has both drawbacks (e.g., potential to generate acid runoff from dune cores following rainfall, enhanced corrosion of steel bulwarks) and possible benefits (e.g., efflorescent salts may enhance structural integrity).</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.04.051","usgsCitation":"Plumlee, G.S., Benzel, W., Hoefen, T.M., Hageman, P.L., Morman, S.A., Reilly, T.J., Adams, M., Berry, C.J., Fischer, J., and Fisher, I., 2016, Environmental implications of the use of sulfidic back-bay sediments for dune reconstruction — Lessons learned post Hurricane Sandy: Marine Pollution Bulletin, v. 107, no. 2, p. 459-471, https://doi.org/10.1016/j.marpolbul.2016.04.051.","productDescription":"13 p.","startPage":"459","endPage":"471","ipdsId":"IP-072137","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":337166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","volume":"107","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c277d8e4b014cc3a3e76b1","contributors":{"authors":[{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":681572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":681573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":681574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hageman, Philip L. 0000-0002-3440-2150 phageman@usgs.gov","orcid":"https://orcid.org/0000-0002-3440-2150","contributorId":811,"corporation":false,"usgs":true,"family":"Hageman","given":"Philip","email":"phageman@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":681575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morman, Suzette A. 0000-0002-2532-1033 smorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-1033","contributorId":996,"corporation":false,"usgs":true,"family":"Morman","given":"Suzette","email":"smorman@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":681576,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":681577,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adams, Monique madams@usgs.gov","contributorId":1231,"corporation":false,"usgs":true,"family":"Adams","given":"Monique","email":"madams@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":681578,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berry, Cyrus J. cjberry@usgs.gov","contributorId":946,"corporation":false,"usgs":true,"family":"Berry","given":"Cyrus","email":"cjberry@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":681579,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fischer, Jeffrey 0000-0003-2996-9272 fischer@usgs.gov","orcid":"https://orcid.org/0000-0003-2996-9272","contributorId":187753,"corporation":false,"usgs":true,"family":"Fischer","given":"Jeffrey","email":"fischer@usgs.gov","affiliations":[],"preferred":true,"id":681580,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fisher, Irene ifisher@usgs.gov","contributorId":172759,"corporation":false,"usgs":true,"family":"Fisher","given":"Irene","email":"ifisher@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":681581,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70191808,"text":"70191808 - 2016 - Managing adaptively for multifunctionality in agricultural systems","interactions":[],"lastModifiedDate":"2017-10-18T11:18:04","indexId":"70191808","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Managing adaptively for multifunctionality in agricultural systems","docAbstract":"<p><span>The critical importance of agricultural systems for food security and as a dominant global landcover requires management that considers the full dimensions of system functions at appropriate scales, i.e. multifunctionality. We propose that adaptive management is the most suitable management approach for such goals, given its ability to reduce uncertainty over time and support multiple objectives within a system, for multiple actors. As such, adaptive management may be the most appropriate method for sustainably intensifying production whilst increasing the quantity and quality of ecosystem services. However, the current assessment of performance of agricultural systems doesn’t reward ecosystem service provision. Therefore, we present an overview of the ecosystem functions agricultural systems should and could provide, coupled with a revised definition for assessing the performance of agricultural systems from a multifunctional perspective that, when all satisfied, would create adaptive agricultural systems that can increase production whilst ensuring food security and the quantity and quality of ecosystem services. The outcome of this high level of performance is the capacity to respond to multiple shocks without collapse, equity and triple bottom line sustainability. Through the assessment of case studies, we find that alternatives to industrialized agricultural systems incorporate more functional goals, but that there are mixed findings as to whether these goals translate into positive measurable outcomes. We suggest that an adaptive management perspective would support the implementation of a systematic analysis of the social, ecological and economic trade-offs occurring within such systems, particularly between ecosystem services and functions, in order to provide suitable and comparable assessments. We also identify indicators to monitor performance at multiple scales in agricultural systems which can be used within an adaptive management framework to increase resilience at multiple scales.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.05.064","usgsCitation":"Hodbod, J., Barreteau, O., Allen, C.R., and Magda, D., 2016, Managing adaptively for multifunctionality in agricultural systems: Journal of Environmental Management, v. 183, no. 2, p. 379-388, https://doi.org/10.1016/j.jenvman.2016.05.064.","productDescription":"10 p.","startPage":"379","endPage":"388","ipdsId":"IP-075856","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488715,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.whiterose.ac.uk/200309/","text":"External Repository"},{"id":346842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e86838e4b05fe04cd4d211","contributors":{"authors":[{"text":"Hodbod, Jennifer","contributorId":197366,"corporation":false,"usgs":false,"family":"Hodbod","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":713320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barreteau, Olivier","contributorId":173849,"corporation":false,"usgs":false,"family":"Barreteau","given":"Olivier","email":"","affiliations":[{"id":27301,"text":"IRSTEA - UMR G-EAU (France)","active":true,"usgs":false}],"preferred":false,"id":713321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magda, Daniele","contributorId":197367,"corporation":false,"usgs":false,"family":"Magda","given":"Daniele","email":"","affiliations":[],"preferred":false,"id":713322,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193660,"text":"70193660 - 2016 - Structured decision making as a framework for large-scale wildlife harvest management decisions","interactions":[],"lastModifiedDate":"2017-11-05T21:40:27","indexId":"70193660","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Structured decision making as a framework for large-scale wildlife harvest management decisions","docAbstract":"<p>Fish and wildlife harvest management at large spatial scales often involves making complex decisions with multiple objectives and difficult tradeoffs, population demographics that vary spatially, competing stakeholder values, and uncertainties that might affect management decisions. Structured decision making (SDM) provides a formal decision analytic framework for evaluating difficult decisions by breaking decisions into component parts and separating the values of stakeholders from the scientific evaluation of management actions and uncertainty. The result is a rigorous, transparent, and values-driven process. This decision-aiding process provides the decision maker with a more complete understanding of the problem and the effects of potential management actions on stakeholder values, as well as how key uncertainties can affect the decision. We use a case study to illustrate how SDM can be used as a decision-aiding tool for management decision making at large scales. We evaluated alternative white-tailed deer (<i>Odocoileus virginianus</i>) buck-harvest regulations in New York designed to reduce harvest of yearling bucks, taking into consideration the values of the state wildlife agency responsible for managing deer, as well as deer hunters. We incorporated tradeoffs about social, ecological, and economic management concerns throughout the state. Based on the outcomes of predictive models, expert elicitation, and hunter surveys, the SDM process identified management alternatives that optimized competing objectives. The SDM process provided biologists and managers insight about aspects of the buck-harvest decision that helped them adopt a management strategy most compatible with diverse hunter values and management concerns.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.1613","usgsCitation":"Robinson, K., Fuller, A.K., Hurst, J.E., Swift, B.L., Kirsch, A., Farquhar, J.F., Decker, D.J., and Siemer, W.F., 2016, Structured decision making as a framework for large-scale wildlife harvest management decisions: Ecosphere, v. 7, no. 12, Article e01613; 14 p., https://doi.org/10.1002/ecs2.1613.","productDescription":"Article e01613; 14 p.","ipdsId":"IP-078686","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470346,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1613","text":"Publisher Index Page"},{"id":348207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"5a003151e4b0531197b5a750","contributors":{"authors":[{"text":"Robinson, Kelly F.","contributorId":140157,"corporation":false,"usgs":false,"family":"Robinson","given":"Kelly F.","affiliations":[{"id":473,"text":"New York Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false},{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":719792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurst, Jeremy E.","contributorId":177504,"corporation":false,"usgs":false,"family":"Hurst","given":"Jeremy","email":"","middleInitial":"E.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swift, Bryan L.","contributorId":11433,"corporation":false,"usgs":false,"family":"Swift","given":"Bryan","email":"","middleInitial":"L.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirsch, Arthur","contributorId":199698,"corporation":false,"usgs":false,"family":"Kirsch","given":"Arthur","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farquhar, James F.","contributorId":150969,"corporation":false,"usgs":false,"family":"Farquhar","given":"James","email":"","middleInitial":"F.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719796,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Decker, Daniel J.","contributorId":166906,"corporation":false,"usgs":false,"family":"Decker","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":719797,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Siemer, William F.","contributorId":192551,"corporation":false,"usgs":false,"family":"Siemer","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":719798,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193685,"text":"70193685 - 2016 - Semiautomatic mapping of permafrost in the Yukon Flats, Alaska","interactions":[],"lastModifiedDate":"2017-11-02T16:37:20","indexId":"70193685","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Semiautomatic mapping of permafrost in the Yukon Flats, Alaska","docAbstract":"<p>Thawing of permafrost due to global warming can have major impacts on hydrogeological processes, climate feedback, arctic ecology, and local environments. To understand these effects and processes, it is crucial to know the distribution of permafrost. In this study we exploit the fact that airborne electromagnetic (AEM) data are sensitive to the distribution of permafrost and demonstrate how the distribution of permafrost in the Yukon Flats, Alaska, is mapped in an efficient (semiautomatic) way, using a combination of supervised and unsupervised (machine) learning algorithms, i.e., Smart Interpretation and K-means clustering. Clustering is used to sort unfrozen and frozen regions, and Smart Interpretation is used to predict the depth of permafrost based on expert interpretations. This workflow allows, for the first time, a quantitative and objective approach to efficiently map permafrost based on large amounts of AEM data.</p>","language":"English","publisher":"AGU","doi":"10.1002/2016GL071334","usgsCitation":"Gulbrandsen, M.L., Minsley, B.J., Ball, L.B., and Hansen, T.M., 2016, Semiautomatic mapping of permafrost in the Yukon Flats, Alaska: Geophysical Research Letters, v. 43, no. 23, p. 12131-12137, https://doi.org/10.1002/2016GL071334.","productDescription":"7 p.","startPage":"12131","endPage":"12137","ipdsId":"IP-080706","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":470396,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016gl071334","text":"External Repository"},{"id":348149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","volume":"43","issue":"23","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"59fc2ea6e4b0531197b27f87","contributors":{"authors":[{"text":"Gulbrandsen, Mats Lundh","contributorId":199734,"corporation":false,"usgs":false,"family":"Gulbrandsen","given":"Mats","email":"","middleInitial":"Lundh","affiliations":[{"id":27198,"text":"Niels Bohr Institute, University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":719885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":719884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":719886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Thomas Mejer","contributorId":199735,"corporation":false,"usgs":false,"family":"Hansen","given":"Thomas","email":"","middleInitial":"Mejer","affiliations":[{"id":27198,"text":"Niels Bohr Institute, University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":719887,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193684,"text":"70193684 - 2016 - Timing of spring wild turkey hunting in relation to nest incubation","interactions":[],"lastModifiedDate":"2017-11-08T16:03:20","indexId":"70193684","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Timing of spring wild turkey hunting in relation to nest incubation","docAbstract":"<p>State wildlife agencies are often requested to open spring wild turkey (<i>Meleagris gallopavo</i>; hereafter, turkey) hunting seasons earlier to increase hunter satisfaction by hunters hearing more gobbling male turkeys. Timing of spring turkey hunting season in several states, including Pennsylvania, has been established to open, on average, near median date of incubation initiation of turkey nests. This is believed to reduce illegal and undesired hen harvest and possibly nest abandonment, while maintaining hunter satisfaction of hearing male turkeys when most hens are incubating eggs. However, Pennsylvania’s spring season structure was established in 1968. Given earlier spring phenology, and potentially more variation in spring weather due to climate change, there is concern that timing of nest incubation for turkeys in Pennsylvania could be changing. Therefore, our objective was to determine if nest incubation and opening of spring turkey hunting in Pennsylvania have continued to coincide. We attached satellite transmitters to 254 female turkeys during 2010–2014 and estimated median incubation initiation date to be 2 May, which was 2 days earlier than median date during a statewide study during 1953–1963 and 9 days earlier than during a smaller scale study in south–central Pennsylvania during 2000–2001. However, incubation initiation varied greatly among years and individual hens during all 3 studies. During 4 of 5 years of our study, Pennsylvania’s spring season opened 3 to 8 days prior to median date of incubation initiation. Over the 5 years, estimated initiation of incubation for first nesting attempts, measured from earliest date of incubation initiation to latest, was &gt;2 months and maximum proportion of hens beginning incubation at any one time differed by several days to &gt;1 week. Consequently, in years of late incubation, a constant season opening date set near the long-term median date of incubation initiation exposes few additional hens to risk and hunter satisfaction is likely maintained at greater levels than would be seen with a more conservative approach of opening the season later. Long-term and large scale studies using GPS transmitters that provide precise determination of incubation initiation will be useful to study environmental influences on initiation of incubation.</p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the National Wild Turkey Symposium","conferenceTitle":"11th National Wild Turkey Symposium","conferenceDate":"January 5-7, 2016","conferenceLocation":"Tucson, Arizona","language":"English","usgsCitation":"Casalena, M.J., Everett, R., Vreeland, W.C., Gregg, I.D., and Diefenbach, D.R., 2016, Timing of spring wild turkey hunting in relation to nest incubation, <i>in</i> Proceedings of the National Wild Turkey Symposium, v. 11, Tucson, Arizona, January 5-7, 2016, p. 237-247.","productDescription":"11 p.","startPage":"237","endPage":"247","ipdsId":"IP-064331","costCenters":[{"id":199,"text":"Coop Res Unit 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