Historically, eastern ponderosa pine (Pinus ponderosa) forests were described as sparse patches of old-growth trees maintained by frequent, low-severity fires; however, in recent decades, there have been a number of large mixed-severity wildfires throughout the range of these forests. Wildlife responses to severe fire disturbance in eastern ponderosa pine forests are not well understood. Our study investigates how cavity-nesting bird species in an eastern ponderosa pine forest are impacted by burn severity. The objectives of our study were to: (1) identify the community composition of cavity-nesting birds in a 27 y old burn of mixed severity, (2) assess how habitat variables important to cavity-nesting birds differ in the mixed-severity fire, and (3) determine what habitat variables best predict bird occurrence 27 y after mixed-severity fire. We surveyed 56 sites across four burn severity classes, ranging from unburned to severely burned forest, in the Pine Ridge region of Nebraska. We measured multiple habitat characteristics (tree and snag diameter at breast height (DBH), coarse woody debris (CWD), tree and snag density, shrub height, and shrub cover) in May–August 2016 and conducted bird count surveys between 25 May and 8 June 2016. Cavity-nesting bird species' occurrence varied among the burn severity variables. Burn severity class (unburned, low severity, moderate severity, high severity) was a significant predictor of habitat characteristics for cavity-nesting birds, including tree density, snag density, mean snag DBH, variance in DBH, and CWD, which also was the best indicator of cavity-nesting bird community composition. We report evidence that mixed-severity wildfires in eastern ponderosa pine forests create variation in habitat characteristics and cavity-nesting bird occurrence.
","language":"English","publisher":"BioOne","doi":"10.1674/0003-0031-181.1.1","usgsCitation":"Keele, E.C., Donovan, V.M., Roberts, C.P., Nodskov, S.M., Wonkka, C., Allen, C.R., Powell, L., Wedin, D.A., Angeler, D., and Twidwell, D., 2019, Relationships between wildfire burn severity, cavity-nesting bird assemblages and habitat in an eastern ponderosa pine forest: American Midland Naturalist, v. 18, no. 16, p. 1-17, https://doi.org/10.1674/0003-0031-181.1.1.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-091278","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":380191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Fort Robinson State Park, Peterson Wildlife Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.6505126953125,\n 42.63118026854378\n ],\n [\n -103.40229034423828,\n 42.63118026854378\n ],\n [\n -103.40229034423828,\n 42.725325908230396\n ],\n [\n -103.6505126953125,\n 42.725325908230396\n ],\n [\n -103.6505126953125,\n 42.63118026854378\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"16","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keele, E. 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G.","contributorId":240686,"corporation":false,"usgs":false,"family":"Angeler","given":"D. G.","affiliations":[{"id":12665,"text":"University of Cape Town","active":true,"usgs":false}],"preferred":false,"id":804051,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Twidwell, D.","contributorId":244285,"corporation":false,"usgs":false,"family":"Twidwell","given":"D.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":804052,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70203793,"text":"70203793 - 2019 - Patterns, pace and processes of water-quality variability: Examples from a long-studied estuary","interactions":[],"lastModifiedDate":"2019-06-13T08:51:18","indexId":"70203793","displayToPublicDate":"2019-01-01T08:47:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Patterns, pace and processes of water-quality variability: Examples from a long-studied estuary","docAbstract":"Environmental time series have rich information content that is invaluable for measuring and understanding changes over time and guiding policies to manage change. I extracted information from measurements of 10 water‐quality constituents in upper San Francisco Bay from 1975 to 2016, one of the longest observational records in a U.S. estuary. Changes were detected at every time scale captured by monthly sampling. Long‐term trends included increased ammonium (+53%), nitrate + nitrate (+50%), silicate (+14%), Secchi depth (+42%), and decreased chlorophyll a (Chl a) (−74%) and suspended particulate matter (−45%). Changes at the decadal scale included abrupt shifts (Chl a, nitrate + nitrite) and oscillations between shorter trends of increase and decrease (Secchi depth, phosphate). Long‐term trends were not expressed equally across all seasons, and seasonal patterns of change varied across constituents. These examples illustrate key features of environmental variability at the land–sea interface: (1) water‐quality components change continually at time scales from months to decades; (2) patterns of seasonal, multiyear, and multidecadal change are complex and vary across constituents; (3) primary drivers of change are freshwater inflow, the master regulator of estuarine dynamics, and human activities such as river damming, water diversions, wastewater discharge, environmental policies, and species introductions; (4) extracting the full information content of time series requires multiple analyses, each revealing a different layer of insight into how changes develop over time; (5) water‐quality variability is nonstationary, so future changes cannot be forecast reliably; (6) repeated observation is an essential method of Earth system science with applications in the design and performance measures of environmental policies.
No abstract available.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Strategic bird monitoring guidelines for the northern Gulf of Mexico","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"University Press of Mississippi","usgsCitation":"Wilson, R., Woodrey, M.S., Fournier, A., Gleason, J., and Lyons, J.E., 2019, Why strategic bird monitoring plan for the Gulf of Mexico?: Mississippi Agricultural and Forestry Experiment Station Research Bulletin 1228, 14 p.","productDescription":"14 p.","ipdsId":"IP-100639","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":386178,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":386165,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://gomamn.org/wp-content/uploads/2020/02/chapter1-1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.37597656249999,\n 25.443274612305746\n ],\n [\n -82.44140625,\n 29.99300228455108\n ],\n [\n -85.69335937499999,\n 30.90222470517144\n ],\n [\n -88.5498046875,\n 31.353636941500987\n ],\n [\n -91.7138671875,\n 31.052933985705163\n ],\n [\n -94.921875,\n 30.372875188118016\n ],\n [\n -97.1630859375,\n 29.267232865200878\n ],\n [\n -98.7890625,\n 26.31311263768267\n ],\n [\n -97.55859375,\n 25.878994400196202\n ],\n [\n -94.2626953125,\n 24.647017162630366\n ],\n [\n -87.451171875,\n 23.805449612314625\n ],\n [\n -81.9140625,\n 24.246964554300924\n ],\n [\n -80.37597656249999,\n 25.443274612305746\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, R. Randy","contributorId":259210,"corporation":false,"usgs":false,"family":"Wilson","given":"R. Randy","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":816841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodrey, Mark S.","contributorId":259212,"corporation":false,"usgs":false,"family":"Woodrey","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":816842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fournier, Auriel M. V.","contributorId":259215,"corporation":false,"usgs":false,"family":"Fournier","given":"Auriel M. V.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":816843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gleason, Jeff","contributorId":259216,"corporation":false,"usgs":false,"family":"Gleason","given":"Jeff","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":816844,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":816845,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70238869,"text":"70238869 - 2019 - Yellowstone’s birds are vital","interactions":[],"lastModifiedDate":"2022-12-14T14:31:34.136202","indexId":"70238869","displayToPublicDate":"2019-01-01T08:24:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3802,"text":"Yellowstone Science","active":true,"publicationSubtype":{"id":10}},"title":"Yellowstone’s birds are vital","docAbstract":"Traveling through Yellowstone National Park (YNP), visitors frequently stop to enjoy the park’s birds: small songbirds flitting about the willows, sandhill cranes engaged in their ritual mating dances, or myriad species of waterfowl loafing in one of the park's many wetlands. Typically while driving the roads of YNP, a majority of visitors consider a stopped car and raised binoculars a sure sign of some large mammal sighting. Bird watchers in YNP are familiar with this expectation and steel themselves to deliver the tough news. Certainly the park boasts its share of large charismatic birds, including trumpeter swans and bald and golden eagles; however, next to the bison, wolves, bears, and elk that bring so many visitors to Yellowstone, the park’s birds often seem overlooked.
","language":"English","publisher":"National Park Service","usgsCitation":"Diehl, R.H., and Smith, D., 2019, Yellowstone’s birds are vital: Yellowstone Science, v. 27, no. 1, p. 46-48.","productDescription":"3 p.","startPage":"46","endPage":"48","ipdsId":"IP-103304","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":410469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":410468,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/yellowstone-birds-vital.htm"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.04495007104536,\n 44.049315642634554\n ],\n [\n -110.52859264917038,\n 44.309321317035455\n ],\n [\n -110.42696911401411,\n 44.22081183241488\n ],\n [\n -110.26492077417033,\n 44.15976111066681\n ],\n [\n -110.05892712182668,\n 44.21884344137848\n ],\n [\n -110.06991344995181,\n 44.395735064139956\n ],\n [\n -110.15231091088926,\n 44.560352926662716\n ],\n [\n -110.07815319604549,\n 44.68351153047547\n ],\n [\n -110.16055065698295,\n 44.8434218609772\n ],\n [\n -110.2621741921392,\n 44.90570581885194\n ],\n [\n -110.30062634057715,\n 44.95474532334168\n ],\n [\n -110.37478405542093,\n 44.950857871381686\n ],\n [\n -110.44344860620214,\n 44.993605360065544\n ],\n [\n -110.7208533913581,\n 44.99166298362675\n ],\n [\n -110.78127819604563,\n 45.00137420750809\n ],\n [\n -111.05868298120195,\n 45.007200151861326\n ],\n [\n -111.04495007104536,\n 44.049315642634554\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Diehl, Robert H. 0000-0001-9141-1734 rhdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9141-1734","contributorId":3396,"corporation":false,"usgs":true,"family":"Diehl","given":"Robert","email":"rhdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":859000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Douglas W.","contributorId":179181,"corporation":false,"usgs":false,"family":"Smith","given":"Douglas W.","affiliations":[],"preferred":false,"id":859001,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70260142,"text":"70260142 - 2019 - Volcanic hazards in Alaska’s National Parks","interactions":[],"lastModifiedDate":"2024-10-30T18:34:06.641949","indexId":"70260142","displayToPublicDate":"2019-01-01T08:17:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic hazards in Alaska’s National Parks","docAbstract":"There are over 100 volcanoes in Alaska, 54 of which are considered historically active. A historically active volcano is one that fits one of the following criteria: a documented or strongly suspected eruption since the year 1700, persistent fumaroles near boiling point, significant deformation with a volcanic cause, or an earthquake swarm with a volcanic cause (Cameron and Schaefer, 2016). Alaska’s National Parks, Preserves, and Monuments contain a total of 14 historically active volcanoes (Fig. 1). There are numerous other volcanoes within Alaska’s National Parks, Preserves, and Monuments that are not considered historically active but which could erupt at some point in the future. In the past 100 years, there have been seven confirmed eruptions from historically active volcanoes within Alaska’s National Parks, Preserves, and Monuments. The Alaska Volcano Observatory (AVO) monitors and conducts research on volcanoes in Alaska in order to better understand volcanic processes and determine the likelihood of future volcanic hazards, with a primary goal of informing the public and local, state, and federal entities about volcanic hazards and impending volcanic activity. Volcanic hazards in Alaska’s National Parks, Preserves, and Monuments include both proximal hazards (within 30 km or 19 mi of the vent) and distal hazards that are capable of impacting areas at the regional, national, or international scale.
","language":"English","publisher":"National Park Service","usgsCitation":"Mulliken, K., Wallace, K.L., Cameron, C., and Waythomas, C.F., 2019, Volcanic hazards in Alaska’s National Parks: Park Science, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-101898","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":463317,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":463283,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://home.nps.gov/articles/aps-18-1-7.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -136.59940618859937,\n 61.76683943398939\n ],\n [\n -168.06591204889384,\n 61.76683943398939\n ],\n [\n -168.06591204889384,\n 52.24665838055142\n ],\n [\n -139.73883844629714,\n 58.220906017796125\n ],\n [\n -136.59940618859937,\n 61.76683943398939\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mulliken, Katherine","contributorId":345651,"corporation":false,"usgs":false,"family":"Mulliken","given":"Katherine","affiliations":[{"id":39689,"text":"Alaska Division of Geological & Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":917171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cameron, Cheryl","contributorId":345652,"corporation":false,"usgs":false,"family":"Cameron","given":"Cheryl","affiliations":[{"id":39689,"text":"Alaska Division of Geological & Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":917173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917174,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250156,"text":"70250156 - 2019 - Past warm periods provide vital benchmarks for understanding the future of the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2023-11-24T13:06:33.193975","indexId":"70250156","displayToPublicDate":"2019-01-01T06:56:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3802,"text":"Yellowstone Science","active":true,"publicationSubtype":{"id":10}},"title":"Past warm periods provide vital benchmarks for understanding the future of the Greater Yellowstone Ecosystem","docAbstract":"No abstract available.
","language":"English","publisher":"National Park Service","usgsCitation":"Whitlock, C., and Hostetler, S.W., 2019, Past warm periods provide vital benchmarks for understanding the future of the Greater Yellowstone Ecosystem: Yellowstone Science, v. 27, no. 1, p. 72-76.","productDescription":"5 p.","startPage":"72","endPage":"76","ipdsId":"IP-100206","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":422884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":422876,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/past-warm-periods-provide-vital-benchmarks.htm"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.79668471474619,\n 43.586764605429835\n ],\n [\n -108.79668471474619,\n 45.30919574717268\n ],\n [\n -111.95894999069165,\n 45.30919574717268\n ],\n [\n -111.95894999069165,\n 43.586764605429835\n ],\n [\n -108.79668471474619,\n 43.586764605429835\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Whitlock, Cathy","contributorId":79745,"corporation":false,"usgs":false,"family":"Whitlock","given":"Cathy","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":888602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":888603,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70206267,"text":"70206267 - 2019 - Deep convolutional neural networks for map-type classification","interactions":[],"lastModifiedDate":"2020-06-02T21:48:09.072526","indexId":"70206267","displayToPublicDate":"2018-12-31T16:42:53","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Deep convolutional neural networks for map-type classification","docAbstract":"Maps are an important medium that enable people to comprehensively understand the configuration of cultural activities and natural elements over different times and places. Although a massive number of maps are available in the digital era, how to effectively and accurately locate and access the desired map on the Internet remains a challenge today. Previous works partially related to map-type classification mainly focused on map comparison and map matching at the local scale. The features derived from local map areas might be insufficient to characterize map content. To facilitate establishing an automatic approach for accessing the needed map, this paper reports our investigation into using deep learning techniques to recognize seven types of map, including topographic, terrain, physical, urban scene, the National Map, 3D, nighttime, orthophoto, and land cover classification. Experimental results show that the state-of-the-art deep convolutional neural networks can support automatic map-type classification. Additionally, the classification accuracy varies according to different map-types. This work can contribute to the implementation of deep learning techniques in the cartographic community and advance the progress of Geographical Artificial Intelligence (GeoAI).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Autocarto 2018: Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"AutoCarto 2018, the 22nd International Research Symposium on Computer-based Cartography","conferenceDate":"May 22-24, 2018","conferenceLocation":"Madison, WI","language":"English","publisher":"Cartography and Geographic Information Society (CaGIS)","usgsCitation":"Zhou, X., Li, W., Arundel, S., and Liu, J., 2019, Deep convolutional neural networks for map-type classification, in Autocarto 2018: Proceedings, Madison, WI, May 22-24, 2018, 6 p.","productDescription":"6 p.","ipdsId":"IP-097759","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":375272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368673,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cartogis.org/autocarto/autocarto-2018/"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhou, Xiran","contributorId":219357,"corporation":false,"usgs":false,"family":"Zhou","given":"Xiran","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":790249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Wenwen 0000-0003-2237-9499","orcid":"https://orcid.org/0000-0003-2237-9499","contributorId":219356,"corporation":false,"usgs":false,"family":"Li","given":"Wenwen","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":790250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":774004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Jun","contributorId":225085,"corporation":false,"usgs":false,"family":"Liu","given":"Jun","email":"","affiliations":[],"preferred":false,"id":790251,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215591,"text":"70215591 - 2019 - Perspectives and challenges for the use of radar in biological conservation","interactions":[],"lastModifiedDate":"2020-10-25T17:42:42.466413","indexId":"70215591","displayToPublicDate":"2018-12-31T12:40:51","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Perspectives and challenges for the use of radar in biological conservation","docAbstract":"Radar is at the forefront for the study of broad‐scale aerial movements of birds, bats and insects and related issues in biological conservation. Radar techniques are especially useful for investigating species which fly at high altitudes, in darkness, or which are too small for applying electronic tags. Here, we present an overview of radar applications in biological conservation and highlight its future possibilities. Depending on the type of radar, information can be gathered on local‐ to continental‐scale movements of airborne organisms and their behaviour. Such data can quantify flyway usage, biomass and nutrient transport (bioflow), population sizes, dynamics and distributions, times and dimensions of movements, areas and times of mass emergence and swarming, habitat use and activity ranges. Radar also captures behavioural responses to anthropogenic disturbances, artificial light and man‐made structures. Weather surveillance and other long‐range radar networks allow spatially broad overviews of important stopover areas, songbird mass roosts and emergences from bat caves. Mobile radars, including repurposed marine radars and commercially dedicated ‘bird radars’, offer the ability to track and monitor the local movements of individuals or groups of flying animals. Harmonic radar techniques have been used for tracking short‐range movements of insects and other small animals of conservation interest. However, a major challenge in aeroecology is determining the taxonomic identity of the targets, which often requires ancillary data obtained from other methods. Radar data have become a global source of information on ecosystem structure, composition, services and function and will play an increasing role in the monitoring and conservation of flying animals and threatened habitats worldwide.
No abstract available.
","language":"English","publisher":"New York State Energy Research and Development Authority","collaboration":"New York State Energy Research and Development Authority; USGS","usgsCitation":"Sullivan, T.J., McDonnell, T.C., Zarfos, M.R., Dovciak, M., and Lawrence, G.B., 2019, Effects of acidic deposition on the biodiversity of forest understory plant communities in the northern hardwood forests of the Adirondack Mountains, viii, 80 p.","productDescription":"viii, 80 p.","ipdsId":"IP-086685","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":383095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383094,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nyserda.ny.gov/About/Publications/Research-and-Development-Technical-Reports/Environmental-Research-and-Development-Technical-Reports"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.45410156250001,\n 42.71473218539461\n ],\n [\n -73.03710937500001,\n 42.71473218539461\n ],\n [\n -73.03710937500001,\n 45.089035564831015\n ],\n [\n -75.45410156250001,\n 45.089035564831015\n ],\n [\n -75.45410156250001,\n 42.71473218539461\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sullivan, Timothy J.","contributorId":196720,"corporation":false,"usgs":false,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":809913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonnell, Todd C.","contributorId":127622,"corporation":false,"usgs":false,"family":"McDonnell","given":"Todd","email":"","middleInitial":"C.","affiliations":[{"id":7087,"text":"Scientist, E&S Environmental Chemistry Inc, Corvallis OR","active":true,"usgs":false}],"preferred":false,"id":809916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zarfos, Michael R. 0000-0002-2902-4773","orcid":"https://orcid.org/0000-0002-2902-4773","contributorId":196724,"corporation":false,"usgs":false,"family":"Zarfos","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":809914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dovciak, Martin","contributorId":196723,"corporation":false,"usgs":false,"family":"Dovciak","given":"Martin","email":"","affiliations":[],"preferred":false,"id":809915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809917,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70216092,"text":"70216092 - 2019 - Subterranean invasion by gapped ringed crayfish: Effectiveness of a removal effort and barrier installation","interactions":[],"lastModifiedDate":"2020-11-05T15:02:16.317428","indexId":"70216092","displayToPublicDate":"2018-12-29T08:56:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Subterranean invasion by gapped ringed crayfish: Effectiveness of a removal effort and barrier installation","docAbstract":"To elucidate how different extreme heteroatom concentrations in oil shale kerogen may present and contribute to various structural features, three shale samples, containing kerogen with high oxygen content, low heteroatom content, and high sulfur content, were analyzed using advanced 13C solid-state nuclear magnetic resonance (NMR) techniques, including multiple cross-polarization/magic angle spinning (multiCP/MAS), dipolar dephasing (multiCP/DD), and 2D 1H–13C heteronuclear correlation (2D HETCOR). We found that oxygen in Estonian kukersite was present mostly in aromatic C–O structures and that nonprotonated aromatic carbons bonded to oxygen and alkyl chains led to more diverse aromatic signal distributions and structures in the kukersite organic matter than were observed in the other shales. The low-heteroatom kerogen present in Australian Glen Davis torbanite had the simplest structural pattern and the lowest aromaticity, despite having a lower atomic H/C ratio than the kerogens present in the other shales. The organic sulfur-rich Ghareb marinite from Jordan contained the highest aromaticity and most diverse alkyl structures among the three shales. 2D HETCOR with 1H spin diffusion showed that the structural heterogeneity of the Glen Davis kerogen was <1 nm, indicating the preservation of structures present in precursor organic matter. Like previous NMR studies of shales and kerogens, this analysis of organic matter in whole shale samples with unusual heteroatom content demonstrates that structural characteristics in organic matter are not necessarily captured by kerogen typing based solely on elemental ratios (H/C, O/C) or programmed pyrolysis parameters and that NMR provides deeper insights into kerogen structure.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.energyfuels.8b01909","usgsCitation":"Chu, W., Cao, X., Schmidt-Rohr, K., Birdwell, J.E., and Mao, J., 2019, Investigation into the effect of heteroatom content on kerogen structure using advanced 13C solid-state nuclear magnetic resonance spectroscopy: Energy & Fuels, v. 33, no. 2, p. 645-653, https://doi.org/10.1021/acs.energyfuels.8b01909.","productDescription":"9 p.","startPage":"645","endPage":"653","ipdsId":"IP-097989","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":369392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Estonia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 27.740478515625,\n 58.983991031797785\n ],\n [\n 28.179931640625,\n 59.428315784042574\n ],\n [\n 27.9931640625,\n 59.48414789449185\n ],\n [\n 24.664306640625,\n 59.712097173322924\n ],\n [\n 21.785888671874996,\n 59.06880155405589\n ],\n [\n 21.719970703125,\n 57.87981645527839\n ],\n [\n 24.521484375,\n 57.90901158577155\n ],\n [\n 25.29052734375,\n 58.04300405858762\n ],\n [\n 26.136474609375,\n 57.733484833831575\n ],\n [\n 26.575927734375,\n 57.51582286553883\n ],\n [\n 27.39990234375,\n 57.55120803456642\n ],\n [\n 27.784423828125,\n 57.87981645527839\n ],\n [\n 27.421875,\n 58.280619788575805\n ],\n [\n 27.740478515625,\n 58.983991031797785\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"2","noUsgsAuthors":false,"publicationDate":"2018-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Chu, Wenying","contributorId":220773,"corporation":false,"usgs":false,"family":"Chu","given":"Wenying","email":"","affiliations":[],"preferred":false,"id":775723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cao, Xiaoyan","contributorId":204169,"corporation":false,"usgs":false,"family":"Cao","given":"Xiaoyan","email":"","affiliations":[{"id":36869,"text":"Old Dominion University; Brandeis University","active":true,"usgs":false}],"preferred":false,"id":775724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt-Rohr, Klaus","contributorId":173865,"corporation":false,"usgs":false,"family":"Schmidt-Rohr","given":"Klaus","email":"","affiliations":[{"id":27307,"text":"Dept. of Chemistry, Brandeis University, Waltham, MA","active":true,"usgs":false}],"preferred":false,"id":775725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":775726,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mao, Jingdong","contributorId":204171,"corporation":false,"usgs":false,"family":"Mao","given":"Jingdong","email":"","affiliations":[{"id":36518,"text":"Old Dominion University","active":true,"usgs":false}],"preferred":false,"id":775727,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217077,"text":"70217077 - 2019 - A collection of historic seismic instrumentation photographs at the Albuquerque Seismological Laboratory","interactions":[],"lastModifiedDate":"2021-01-04T17:13:35.74213","indexId":"70217077","displayToPublicDate":"2018-12-27T11:11:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"A collection of historic seismic instrumentation photographs at the Albuquerque Seismological Laboratory","docAbstract":"The Albuquerque Seismological Laboratory (ASL) has preserved a collection of photographs of seismographic equipment, stations, and drawings used by the United States Coast and Geodetic Survey (USC&GS) in the early-to-mid-twentieth century. The photographs were transferred to ASL from the US Department of Commerce building in Washington DC after ASL became established as a USC&GS facility for seismological research and instrumentation testing in 1961. The photographs were variously used in publications to document USC&GS activities or used internally to document instrument installation, operation, and/or components. The historic photograph collection is made up of hundreds of photographs that were originally printed in the 1930s and 1940s. Our hope is that the archival of these records, as well as brief descriptions about their significance, will help preserve some of the knowledge about seismological advances in the United States during this time period. We provide digital scans of the complete ASL historic photo collection and discuss the historical context of select images in the Electronic Supplement of this document.","language":"English","doi":"10.1785/0220180267","usgsCitation":"Moore, S.V., Hutt, C.R., Anthony, R.E., Ringler, A.T., Alejandro, A.C., and Wilson, D.C., 2019, A collection of historic seismic instrumentation photographs at the Albuquerque Seismological Laboratory: Seismological Research Letters, v. 90, no. 2A, p. 765-773, https://doi.org/10.1785/0220180267.","productDescription":"9 p.","startPage":"765","endPage":"773","ipdsId":"IP-102661","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":381854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"2A","noUsgsAuthors":false,"publicationDate":"2018-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Sabrina Veronica 0000-0003-3059-8261","orcid":"https://orcid.org/0000-0003-3059-8261","contributorId":246022,"corporation":false,"usgs":true,"family":"Moore","given":"Sabrina","email":"","middleInitial":"Veronica","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alejandro, Alexis Casondra Bianca 0000-0002-3401-9303","orcid":"https://orcid.org/0000-0002-3401-9303","contributorId":246023,"corporation":false,"usgs":true,"family":"Alejandro","given":"Alexis","email":"","middleInitial":"Casondra Bianca","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807519,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203319,"text":"70203319 - 2019 - Data sharing in magnetotellurics","interactions":[],"lastModifiedDate":"2019-05-06T09:13:01","indexId":"70203319","displayToPublicDate":"2018-12-27T09:11:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Data sharing in magnetotellurics","docAbstract":"Here, we introduce the first openly available comprehensive database of magnetotelluric (MT) and related electromagnetic data that we developed and matured over the past decade, explain how to access the data, and describe the challenges that had to be overcome to make MT data sharing possible. The database is a helpful tool for MT scientists, and is widely used by the international scientific community in teaching, planning future surveys, and then to leverage the value of new data at the inversion and interpretation stage. It has also turned into a primary resource for researchers in space weather, and for power grid industry. MT impedance, a transfer function that relates geoelectric fields to geomagnetic fields at the Earth’s surface, provides a critical missing component for estimation of geomagnetically induced currents: quasi-direct currents caused by geomagnetic storms that can destroy valuable equipment and cause extended blackouts. We envision that this database will also be useful for researchers in other areas of geophysics, such as seismology, who would like to use real MT data for hands-on learning and joint inversion analysis.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018EO112859","usgsCitation":"Kelbert, A., Erofeeva, S., Trabant, C., Karstens, R., and Van Fossen, M.C., 2019, Data sharing in magnetotellurics: Eos, Earth and Space Science News, v. 99, https://doi.org/10.1029/2018EO112859.","ipdsId":"IP-098933","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":468015,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018eo112859","text":"Publisher Index Page"},{"id":363525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erofeeva, Svetlana","contributorId":215356,"corporation":false,"usgs":false,"family":"Erofeeva","given":"Svetlana","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":762134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trabant, Chad","contributorId":215357,"corporation":false,"usgs":false,"family":"Trabant","given":"Chad","email":"","affiliations":[{"id":39228,"text":"Incorporated Research Institutions for Seismology","active":true,"usgs":false}],"preferred":false,"id":762135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karstens, Rich","contributorId":215358,"corporation":false,"usgs":false,"family":"Karstens","given":"Rich","email":"","affiliations":[{"id":39228,"text":"Incorporated Research Institutions for Seismology","active":true,"usgs":false}],"preferred":false,"id":762136,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Fossen, Mickey C.","contributorId":205475,"corporation":false,"usgs":false,"family":"Van Fossen","given":"Mickey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":762137,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215268,"text":"70215268 - 2019 - Stable pack abundance and distribution in a harvested wolf population","interactions":[],"lastModifiedDate":"2020-10-14T13:53:14.524014","indexId":"70215268","displayToPublicDate":"2018-12-27T08:50:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Stable pack abundance and distribution in a harvested wolf population","docAbstract":"Harvesting gray wolves (Canis lupus) could affect the abundance and distribution of packs, but the frequency of change in pack occurrence (i.e., turnover) and relative effects of harvest compared to environmental factors is unclear. We used noninvasive genetic sampling, hunter surveys, and occupancy models to evaluate the effect of harvest on occurrence and turnover of packs in a population of wolves managed with intensive harvest in the Canadian Rocky Mountains, 2012–2014. We tested 2 alternative hypotheses: the abundance and distribution of wolf packs were dynamic because of harvest or the abundance and distribution of wolf packs were generally stable regardless of harvest. We found the mean annual probability for wolf pack occupancy ranged 0.72–0.74 and the estimated distribution of wolf packs was consistent over time, 2012–2014. Our top model indicated wolf pack occupancy was positively associated with forest cover and the probability of detecting a wolf pack was positively associated with the intensity of harvest for wolves in that area. We observed frequent turnover of individuals within packs that were genetically sampled consecutive years but not of entire packs. Because turnover of packs occurred infrequently during our study, we could not reject our hypothesis that occurrence of packs was generally stable in a harvested population of wolves. Our results suggest environmental factors have a stronger effect than harvest on the abundance and distribution of wolf packs in southwestern Alberta, but harvest appears to strongly influence turnover of individuals within packs. We hypothesize local dispersal from within the study area and neighboring packs on the periphery of the study area helped promote pack stability. © 2018 The Wildlife Society.
Documenting fish movement patterns and examining relationships with both fish and habitat characteristics are essential aspects of sound conservation and management. Stream fish movement and habitat use have been associated with a myriad of factors, and variability among individuals is common. Movement and habitat use patterns of juvenile Smallmouth Bass Micropterus dolomieu in streams are poorly understood, particularly for the Neosho subspecies M. dolomieu velox. Our study objective was to determine diel movement patterns and microhabitat use by juvenile Neosho Smallmouth Bass during late autumn. In 2016, we surgically implanted radio transmitters into 13 juvenile Smallmouth Bass in Honey Creek, Oklahoma. We tracked the fish by using radiotelemetry on 41 occasions over the 26‐d tag life and located fish throughout the diel cycle to characterize movement and habitat use. Movement patterns varied among individual fish, with cumulative movements ranging from 33 to 1,302 m. Incremental displacement (the distance moved between two consecutive relocations) increased slightly with warmer water temperatures and increasing fish size. Although there was also considerable individual variation in habitat use patterns, deeper habitats were associated with larger juvenile Smallmouth Bass and daytime. Fish also tended to use higher‐velocity habitats during the day, and this trend increased over the duration of the study. Our results suggest high individual variation in both movement and habitat use by juvenile Neosho Smallmouth Bass across the diel cycle. We show that juvenile Smallmouth Bass move among microhabitats and would benefit from management actions that maintain and promote instream habitat complexity. Future efforts focused on juvenile Smallmouth Bass movement over longer time periods would be beneficial for understanding movement and habitat use dynamics across a greater range of seasonal and environmental variability.
Anthropogenic development of floodplains and alteration to natural hydrological regimes have resulted in extensive loss of off-channel habitat. Interest has grown in restoring these habitats as an effective conservation strategy for numerous aquatic species. This study developed a process to reproducibly identify areas of former stream meanders to assist future off-channel restoration site selections. Three watersheds in Iowa and Minnesota where off-channel restorations are currently being conducted to aid the conservation of the Topeka Shiner (Notropis topeka) were selected as the study area. Floodplain depressions were identified with LiDAR-derived digital elevation models, and their morphologic and topographic characteristics were described. Classification tree models were developed to distinguish relic streams and oxbows from other landscape features. All models demonstrated a strong ability to distinguish between target and non-target features with area under the receiver operator curve (AUC) values ≥ 0.82 and correct classification rates ≥ 0.88. Solidity, concavity, and mean height above channel metrics were among the first splits in all trees. To compensate for the noise associated with the final model designation, features were ranked by their conditional probability. The results of this study will provide conservation managers with an improved process to identify candidate restoration sites.
","language":"English","publisher":"MDPI","doi":"10.3390/rs11010012","usgsCitation":"Zambory, C.L., Ellis, H., Pierce, C., Roe, K., Weber, M.J., Schilling, K.E., and Young, N.C., 2019, The development of a GIS methodology to identify oxbows and former stream meanders from LiDAR-derived digital elevation models: Remote Sensing, v. 11, no. 1, 12, 16 p., https://doi.org/10.3390/rs11010012.","productDescription":"12, 16 p.","ipdsId":"IP-099039","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11010012","text":"Publisher Index Page"},{"id":395216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota","otherGeospatial":"Boone River watershed, North Raccoon River watershed, Rock River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.45996093749999,\n 41.11246878918088\n ],\n [\n -93.01025390625,\n 41.11246878918088\n ],\n [\n -93.01025390625,\n 44.36313311380771\n ],\n [\n -96.45996093749999,\n 44.36313311380771\n ],\n [\n -96.45996093749999,\n 41.11246878918088\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Zambory, Courtney L.","contributorId":264754,"corporation":false,"usgs":false,"family":"Zambory","given":"Courtney","email":"","middleInitial":"L.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":832461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Harvest","contributorId":273018,"corporation":false,"usgs":false,"family":"Ellis","given":"Harvest","email":"","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":832462,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roe, Kevin J.","contributorId":264758,"corporation":false,"usgs":false,"family":"Roe","given":"Kevin J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":832463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weber, Michael J.","contributorId":83799,"corporation":false,"usgs":true,"family":"Weber","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":832464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schilling, Keith E.","contributorId":106429,"corporation":false,"usgs":false,"family":"Schilling","given":"Keith","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":832465,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Young, Nathan C.","contributorId":273025,"corporation":false,"usgs":false,"family":"Young","given":"Nathan","email":"","middleInitial":"C.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":832466,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70207165,"text":"70207165 - 2019 - Global sea-level contribution from Arctic land ice: 1971 to 2017","interactions":[],"lastModifiedDate":"2019-12-11T08:09:49","indexId":"70207165","displayToPublicDate":"2018-12-21T08:07:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Global sea-level contribution from Arctic land ice: 1971 to 2017","docAbstract":"The Arctic Monitoring and Assessment Program (AMAP) (AMAP, 2017) identifies the\nArctic as the largest regional source of land ice to global sea-level rise in the 2003 to 2014\nperiod. Yet, this contextualization ignores the longer perspective from in-situ records of\nglacier mass balance. Here, using 18 (> 55 °N latitude) glacier and ice cap mass balance\nseries in the 1971 to 2017 period, we develop a semi-empirical estimate of annual sealevel\ncontribution from seven Arctic regions by scaling the in-situ records to GRACE\naverages. We contend that our estimate represents the most accurate mass balance\nassessment so far available before the 1992 start of satellite altimetry.\nWe estimate the 1971 to 2017 eustatic sea-level contribution from land ice north of\n~55° N to be 23.0±12.3 mm sea-level equivalent (SLE). In all regions, the cumulative sealevel\nrise curves exhibit an acceleration, especially after 1988. Greenland is the source of\n46% of the Arctic sea-level rise contribution (10.6±7.3 mm), followed by Alaska (5.7±2.2\nmm), Arctic Canada (3.2±0.7 mm) and the Russian High Arctic (1.5±0.4 mm).\nOur annual results exhibit co-variability over a 43 year overlap (1971 to 2013) with\nthe alternative dataset of Marzeion et al (2015) (M15). However, we find a 1.36x lower\nsea-level contribution, in agreement with satellite gravimetry.\n The IPCC Fifth Assessment report identified constraining the pre-satellite era sealevel\nbudget as a topic of low scientific understanding that we address and specify sealevel\ncontributions coinciding with IPCC Special Report on the Ocean and Cryosphere in\na Changing Climate (SROCC) “present day” (2005-2015) and “recent past” (1986-2005)\nreference periods. We assess an Arctic land ice loss of 8.3 mm SLE during the recent past\nand 12.4 mm SLE during the present day.","language":"English","publisher":"IOP publishing","doi":"10.1088/1748-9326/aaf2ed","usgsCitation":"Box, J.E., Colgan, W.T., Wouters, B., Burgess, D.O., O’Neel, S., Thomson, L., and Mernild, S., 2019, Global sea-level contribution from Arctic land ice: 1971 to 2017: Environmental Research Letters, v. 13, no. 12, 125012, 11 p., https://doi.org/10.1088/1748-9326/aaf2ed.","productDescription":"125012, 11 p.","ipdsId":"IP-100749","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":468017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aaf2ed","text":"Publisher Index Page"},{"id":370144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Box, Jason E.","contributorId":198809,"corporation":false,"usgs":false,"family":"Box","given":"Jason","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":777109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colgan, William T.","contributorId":172448,"corporation":false,"usgs":false,"family":"Colgan","given":"William","email":"","middleInitial":"T.","affiliations":[{"id":27047,"text":"Dept of Earth and Space Science, York University, Toronto","active":true,"usgs":false}],"preferred":false,"id":777110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wouters, Bert","contributorId":221138,"corporation":false,"usgs":false,"family":"Wouters","given":"Bert","email":"","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":777111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burgess, David","contributorId":221139,"corporation":false,"usgs":false,"family":"Burgess","given":"David","affiliations":[{"id":7219,"text":"Natural Resources Canada","active":true,"usgs":false}],"preferred":false,"id":777112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777108,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thomson, Laura","contributorId":176568,"corporation":false,"usgs":false,"family":"Thomson","given":"Laura","email":"","affiliations":[],"preferred":false,"id":777113,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mernild, Sebastian H","contributorId":221140,"corporation":false,"usgs":false,"family":"Mernild","given":"Sebastian H","affiliations":[{"id":40332,"text":"Nansen Environmental and Remote Sensing Center","active":true,"usgs":false}],"preferred":false,"id":777114,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70203948,"text":"70203948 - 2019 - Long-term soil-water tension measurements in semi-arid environments: A method for automated tensiometer refilling","interactions":[],"lastModifiedDate":"2019-06-24T16:47:57","indexId":"70203948","displayToPublicDate":"2018-12-20T16:42:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Long-term soil-water tension measurements in semi-arid environments: A method for automated tensiometer refilling","docAbstract":"Tensiometer-equipped data acquisition systems measure and record positive and negative soil-water pressures. These data contribute to studies in hillslope hydrology, including analyses of rainfall runoff, near-surface hydrologic response, and slope stability. However, the unique ability of a tensiometer to rapidly and accurately measure pre- and post-saturation subsurface pressures requires maintenance techniques that have precluded their application to unattended sensor networks in semiarid regions. Under suction, the de-aired water in the tensiometer is drawn from a porous cup. Under positive pressure, dissolved gases from pore water infiltrates the cup. Over time, both contribute to unreliable readings and/or poor signal response through cavitation. To address this problem, we used commercially available equipment to develop a simple system of solenoid valves and a water reservoir that enable automated in situ tensiometer refilling. We tested the system at two post-wildfire hydrologic monitoring sites in the Angeles National Forest, southern California. We present example results from 3 mo of monitoring and show how the tensiometers can be refilled by a remote trigger. By remotely refilling the tensiometer, we were able to continuously monitor quasi-saturated soil pore-water pressures without making repeated and costly maintenance visits.
","language":"English","publisher":"Soil Science Society of America, Inc","doi":"10.2136/vzj2018.04.0070","usgsCitation":"Smith, J.B., and Kean, J.W., 2019, Long-term soil-water tension measurements in semi-arid environments: A method for automated tensiometer refilling: Vadose Zone Journal, v. 17, no. 1, 180070; 5 p., https://doi.org/10.2136/vzj2018.04.0070.","productDescription":"180070; 5 p.","ipdsId":"IP-102211","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":468018,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/vzj2018.04.0070","text":"Publisher Index Page"},{"id":437612,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98G0FS2","text":"USGS data release","linkHelpText":"Hillslope hydrologic monitoring data following the 2009 Station Fire, Los Angeles County, California, November 2015 to June 2017"},{"id":364974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Joel B. 0000-0001-7219-7875 jbsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-7219-7875","contributorId":4925,"corporation":false,"usgs":true,"family":"Smith","given":"Joel","email":"jbsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":764901,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203609,"text":"70203609 - 2019 - UZIG research: Measurement and characterization of unsaturated zone processes under wide-ranging climates and changing conditions","interactions":[],"lastModifiedDate":"2019-05-23T15:21:55","indexId":"70203609","displayToPublicDate":"2018-12-20T15:19:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"UZIG research: Measurement and characterization of unsaturated zone processes under wide-ranging climates and changing conditions","docAbstract":"Unsaturated zone properties and processes are central to understanding the interacting effects of land-use change, contamination, and hydroclimate on our ability to grow food, sustain clean water supplies, and minimize loss of life and property. Advances in unsaturated zone science are being achieved through collaborations across traditional boundaries where information from biological, physical, and chemical disciplines is combined for new insights. The Unsaturated Zone Interest Group (UZIG) is an organization that exists principally to promote multidisciplinary collaborations and the sharing of ideas, expertise, and technical assets. Here we summarize key findings from 14 papers, several of which originated from a meeting convened by UZIG in 2017 at the University of Florida in Gainesville titled “Land-Use Change, Climate Change, and Hydrologic Extremes: Unsaturated Zone Responses and Feedbacks.” This special section of Vadose Zone Journal contains multidisciplinary research in three general categories relevant to measuring and understanding unsaturated zone responses to changing land uses and climate: (i) unsaturated zone properties and processes; (ii) soil–plant–atmosphere interactions; and (iii) novel field sampling devices. A strong cross-cutting theme in these papers is the value of continuous monitoring data and ways of utilizing them to discover novel hydrologic, biologic, and pedologic information. As climatic and land-use conditions change and demands for resources and stresses on ecosystems continue to intensify, it is vital to improve our fundamental understanding of the processes at work in the unsaturated zone. Toward that goal, we discuss the need for improved ground-based unsaturated zone monitoring networks.
","language":"English","publisher":"ACSESS","doi":"10.2136/vzj2018.11.0198","usgsCitation":"Trost, J.J., Mirus, B.B., Perkins, K., Henson, W.R., Nimmo, J.R., and Munoz-Carpena, R., 2019, UZIG research: Measurement and characterization of unsaturated zone processes under wide-ranging climates and changing conditions: Vadose Zone Journal, v. 17, no. 1, 5 p., https://doi.org/10.2136/vzj2018.11.0198.","productDescription":"5 p.","ipdsId":"IP-102646","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":468019,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2136/vzj2018.11.0198","text":"Publisher Index Page"},{"id":364135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Trost, Jared J. 0000-0003-0431-2151 jtrost@usgs.gov","orcid":"https://orcid.org/0000-0003-0431-2151","contributorId":3749,"corporation":false,"usgs":true,"family":"Trost","given":"Jared","email":"jtrost@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":763262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, Kimberlie 0000-0001-8349-447X kperkins@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-447X","contributorId":138544,"corporation":false,"usgs":true,"family":"Perkins","given":"Kimberlie","email":"kperkins@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":763263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henson, Wesley R. 0000-0003-4962-5565 whenson@usgs.gov","orcid":"https://orcid.org/0000-0003-4962-5565","contributorId":384,"corporation":false,"usgs":true,"family":"Henson","given":"Wesley","email":"whenson@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","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":763265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Munoz-Carpena, Rafael","contributorId":215860,"corporation":false,"usgs":false,"family":"Munoz-Carpena","given":"Rafael","email":"","affiliations":[{"id":39322,"text":"University of Florida at Gainesville","active":true,"usgs":false}],"preferred":false,"id":763266,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201661,"text":"70201661 - 2019 - Use of blood clotting assays to assess potential anticoagulant rodenticide exposure and effects in free-ranging birds of prey","interactions":[],"lastModifiedDate":"2018-12-20T10:26:37","indexId":"70201661","displayToPublicDate":"2018-12-20T10:26:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Use of blood clotting assays to assess potential anticoagulant rodenticide exposure and effects in free-ranging birds of prey","docAbstract":"Non-target wildlife, particularly birds of prey, are widely exposed to and acutely poisoned by anticoagulant rodenticides (ARs). An unresolved issue surrounding such exposure, however, is the potential for sublethal effects. In particular, the consequences of AR exposure and resulting coagulopathy on health and survival of unintentionally exposed animals, which often encounter a multitude of anthropogenic stressors, are understudied. In a wildlife rehabilitation setting, AR intoxication may be masked by more obvious injuries related to collision with vehicles or electrocution, thereby obfuscating proximate from ultimate cause of mortality. An assessment of coagulation function of admitted wildlife may provide a means of identifying animals exhibiting sublethal coagulopathy, and ultimately ensuring provision of appropriate and swift treatment. In conjunction with routine diagnostics for injury and disease, we performed two blood clotting assays (prothrombin time, Russell's viper venom time) affected by vitamin K-dependent coagulopathy of samples from six species of live raptors admitted to a rehabilitation facility. We also measured clotting time in pre-fledgling barn owl chicks (Tyto furcata) from 10 nest sites in Lower Mainland Canada. Prolonged clotting time or failure to form a clot altogether was observed in 23.0% of 61 sampled raptors admitted to the rehabilitation facility. This is a biologically significant proportion of individuals given the fortuitous and likely biased nature by which raptors are found and admitted to rehabilitation facilities. In contrast, there was little evidence of coagulopathy in 19 pre-fledgling barn owl chicks. The utility of avian coagulation tests for diagnosing AR exposure is promising, yet there remains a need to establish species specific reference values and standardize assay methodologies among testing facilities.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.11.485","usgsCitation":"Hindmarch, S., Rattner, B.A., and Elliott, J.E., 2019, Use of blood clotting assays to assess potential anticoagulant rodenticide exposure and effects in free-ranging birds of prey: Science of the Total Environment, v. 657, p. 1205-1216, https://doi.org/10.1016/j.scitotenv.2018.11.485.","productDescription":"12 p.","startPage":"1205","endPage":"1216","ipdsId":"IP-099736","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468020,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.11.485","text":"Publisher Index Page"},{"id":360606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"657","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1cb859e4b0708288c837f7","contributors":{"authors":[{"text":"Hindmarch, Sofi","contributorId":211738,"corporation":false,"usgs":false,"family":"Hindmarch","given":"Sofi","email":"","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":754760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":754759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, John E.","contributorId":211739,"corporation":false,"usgs":false,"family":"Elliott","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":754761,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201645,"text":"70201645 - 2019 - Efficient hydrogeological characterization of remote stream corridors using drones","interactions":[],"lastModifiedDate":"2019-01-28T08:22:18","indexId":"70201645","displayToPublicDate":"2018-12-19T15:25:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Efficient hydrogeological characterization of remote stream corridors using drones","docAbstract":"This project demonstrates the successful use of small unoccupied aircraft system (sUASs) for hydrogeological characterization of a remote stream reach in a rugged mountain terrain. Thermal infrared, visual imagery, and derived digital surface models are used to inform conceptual models of groundwater/surface‐water exchange and efficiently geolocate zones of preferential groundwater discharge that can be quantified using various ground‐based methodology.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13332","usgsCitation":"Briggs, M.A., Dawson, C.B., Holmquist-Johnson, C., Williams, K.H., and Lane, J.W., 2019, Efficient hydrogeological characterization of remote stream corridors using drones: Hydrological Processes, v. 33, no. 2, p. 316-319, https://doi.org/10.1002/hyp.13332.","productDescription":"4 p.","startPage":"316","endPage":"319","ipdsId":"IP-102696","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468021,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1491213","text":"Publisher Index Page"},{"id":360579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-19","publicationStatus":"PW","scienceBaseUri":"5c1b66e5e4b0708288c71d28","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":754691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Cian B. cbdawson@usgs.gov","contributorId":1890,"corporation":false,"usgs":true,"family":"Dawson","given":"Cian","email":"cbdawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":754692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmquist-Johnson, Christopher 0000-0002-2782-7687 h-johnsonc@usgs.gov","orcid":"https://orcid.org/0000-0002-2782-7687","contributorId":168648,"corporation":false,"usgs":true,"family":"Holmquist-Johnson","given":"Christopher","email":"h-johnsonc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":754693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Kenneth H. 0000-0002-3568-1155","orcid":"https://orcid.org/0000-0002-3568-1155","contributorId":176791,"corporation":false,"usgs":false,"family":"Williams","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":754694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":754695,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201642,"text":"70201642 - 2019 - The planktonic foraminiferal response to the Paleocene-Eocene thermal maximum on the Atlantic coastal plain","interactions":[],"lastModifiedDate":"2018-12-19T14:04:10","indexId":"70201642","displayToPublicDate":"2018-12-19T14:04:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"The planktonic foraminiferal response to the Paleocene-Eocene thermal maximum on the Atlantic coastal plain","docAbstract":"Planktonic foraminiferal assemblages in two cores from Maryland and New Jersey show evidence for significant changes in surface ocean habitats on the continental shelf during the Paleocene-Eocene Thermal Maximum (PETM). At both sites, significant assemblage shifts occur immediately before the onset of the event. These changes include the appearance of abundant triserial/biserial species as well as rare excursion taxa, which are limited to the interval of the carbon isotope excursion at deep-sea sites. The assemblage shifts signal the development of new habitats immediately prior to the onset of the PETM, likely involving warming, surface ocean acidification, increased stratification and oligotrophy. A sharp increase in diversity at the onset of the event is interpreted as a further increase in stratification and warming, as well as increased water depth and more eutrophic conditions. Finally, we observe variant morphologies of several planktonic foraminifera, which may also signal the response of the assemblage to environmental perturbation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2018.12.001","usgsCitation":"Livsey, C.M., Babila, T., Robinson, M.M., and Bralower, T., 2019, The planktonic foraminiferal response to the Paleocene-Eocene thermal maximum on the Atlantic coastal plain: Marine Micropaleontology, v. 146, p. 39-50, https://doi.org/10.1016/j.marmicro.2018.12.001.","productDescription":"12 p.","startPage":"39","endPage":"50","ipdsId":"IP-095753","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":360567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic coastal plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78,\n 36\n ],\n [\n -74,\n 36\n ],\n [\n -74,\n 40\n ],\n [\n -78,\n 40\n ],\n [\n -78,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"146","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1b66e3e4b0708288c71d1e","contributors":{"authors":[{"text":"Livsey, Caitlin M.","contributorId":211721,"corporation":false,"usgs":false,"family":"Livsey","given":"Caitlin","email":"","middleInitial":"M.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":754683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Babila, Tali","contributorId":211722,"corporation":false,"usgs":false,"family":"Babila","given":"Tali","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":754684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":754682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bralower, Timothy J.","contributorId":195144,"corporation":false,"usgs":false,"family":"Bralower","given":"Timothy J.","affiliations":[],"preferred":false,"id":754685,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204242,"text":"70204242 - 2019 - Estimating occurrence, prevalence, and detection of amphibian pathogens: Insights from occupancy models","interactions":[],"lastModifiedDate":"2019-07-16T10:40:25","indexId":"70204242","displayToPublicDate":"2018-12-19T10:26:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Estimating occurrence, prevalence, and detection of amphibian pathogens: Insights from occupancy models","docAbstract":"Understanding the distribution of pathogens across landscapes and their prevalence within host populations is a common aim of wildlife managers. Despite the need for unbiased estimates of pathogen occurrence and prevalence for planning effective management interventions, many researchers fail to account for imperfect pathogen detection. Instead raw data are often reported, which may lead to ineffective, or even detrimental, management actions. We illustrate the utility of occupancy models for generating unbiased estimates of disease parameters by 1) providing a written tutorial describing how to fit these models in Program PRESENCE and 2) presenting a case study with the pathogen ranavirus. We analyzed ranavirus detection data from a wildlife refuge (Maryland, US) using occupancy modeling, which yields unbiased estimates of pathogen occurrence and prevalence. We found ranavirus prevalence was underestimated by up to 30% if imperfect pathogen detection was ignored. The unbiased estimate of ranavirus prevalence in larval wood frog (Lithobates sylvaticus; 0.73) populations was higher than in larval spotted salamander (Ambystoma maculatum; 0.56) populations. In addition, the odds of detecting ranavirus in tail samples were 6.7 times higher than detecting ranavirus in liver samples. Therefore, tail samples presented a nonlethal sampling method for ranavirus that may be able to detect early (nonsystemic) infections.
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Pitfall trap methodologies and designs vary tremendously among studies and investigators, and this variation and lack of standardization limits scientists’ abilities to compare their results to others. We conducted a literature review to identify the most common methods used by past investigators who placed pitfall traps for the purpose of quantifying indices of arthropod abundances, and we used this information to guide our proposal for standardized pitfall trapping methods. We documented the pitfall trap methods of 257 studies published between Jan 1994 and Mar 2016 in 107 scientific journals. Pitfall trap methods varied greatly across the time period we investigated. We found only minor differences in the pitfall trapping methods most commonly used in different vegetative communities (e.g., preservative use was less frequent for pitfall trap studies in grasslands). Studies published in wildlife journals tended to use pitfall traps of larger diameters than studies published in other disciplines, and they had worse rates of methodological reporting than those in entomology journals. We did not detect a decline in negligent reporting over time; >1 key methodological detail was missing from >50% of studies regardless of the decade published.","language":"English","publisher":"Wiley","doi":"10.1002/wsb.928","usgsCitation":"Conway, C.J., and Hohbein, R., 2019, Pitfall traps: A review of methods for estimating arthropod abundance: Wildlife Society Bulletin, v. 42, no. 4, p. 597-606, https://doi.org/10.1002/wsb.928.","productDescription":"10 p.","startPage":"597","endPage":"606","ipdsId":"IP-082471","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":499852,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/54ef8a058f094fa487a88231e051f123","text":"External Repository"},{"id":365899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":766895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hohbein, Rhianna","contributorId":217492,"corporation":false,"usgs":false,"family":"Hohbein","given":"Rhianna","email":"","affiliations":[],"preferred":false,"id":766935,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}