National parks and preserves in the South Atlantic-Gulf Region contain valuable coastal habitats such as tidal wetlands and mangrove forests, as well as irreplaceable historic buildings and archeological sites located in low-lying areas. These natural and cultural resources are vulnerable to accelerated sea-level rise and escalating high tide flooding events. Through a Natural Resources Preservation Program-funded project during 2021–23, the U.S. Geological Survey, in collaboration with the National Park Service, estimated the probability of inundation at Timucuan Ecological and Historic Preserve, Florida, and several other parks under various sea-level rise scenarios and contemporary high tide flooding thresholds. The maps produced for this effort can be used to assess potential habitat change and explore how infrastructure and cultural resources within the park may be exposed to future flooding-related hazards.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243008","issn":"2327-6932","collaboration":"Prepared in collaboration with the National Park Service","usgsCitation":"Thurman, H.R., Enwright, N.M., Osland, M.J., Passeri, D.L., Day, R.H., and Simons, B.M., 2024, Projected sea-level rise and high tide flooding at Timucuan Ecological and Historic Preserve, Florida: U.S. Geological Survey Fact Sheet 2024–3008, 6 p., https://doi.org/10.3133/fs20243008.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-156826","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":499117,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117054.htm","linkFileType":{"id":5,"text":"html"}},{"id":462357,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/preview/fs20243023","text":"USGS Fact Sheet 2024-3023","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Dry Tortugas National Park, Florida"},{"id":462358,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/preview/fs20243024","text":"USGS Fact Sheet 2024-3024","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Biscayne National Park, Florida"},{"id":462355,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/preview/fs20243021","text":"USGS Fact Sheet 2024-3021","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at San Juan National Historic Site, Puerto Rico"},{"id":462354,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/preview/fs20243016","text":"USGS Fact Sheet 2024-3016","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at De Soto National Memorial, Florida"},{"id":462356,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/preview/fs20243022","text":"USGS Fact Sheet 2024-3022","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Big Cypress National Preserve, Florida"},{"id":429478,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3008/coverthb.jpg"},{"id":429479,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3008/fs20243008.pdf","size":"5.97 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3008"},{"id":429480,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K7S6V5","text":"USGS Data Release","linkHelpText":"Sea-level rise and high tide flooding inundation probability and depth statistics in Nassau and Duval Counties, Florida"}],"country":"United States","state":"Florida","otherGeospatial":"Timucuan Ecological and Historic Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.71885179735567,\n 30.599768663610632\n ],\n [\n -81.71885179735567,\n 30.371434368821383\n ],\n [\n -81.38162480827206,\n 30.371434368821383\n ],\n [\n -81.38162480827206,\n 30.599768663610632\n ],\n [\n -81.71885179735567,\n 30.599768663610632\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Wetland and Aquatic Research Center
U.S. Geological Survey
700 Cajundome Blvd.
Lafayette, LA 70506–3152
Contact Us- USGS Publications Warehouse
","tableOfContents":"The Grand Canyon region is an important natural, cultural, and archeological resource known worldwide. The region contains uranium resources that could be used to generate electricity. The U.S. Geological Survey (USGS), in cooperation with the National Park Service, Bureau of Land Management, and U.S. Department of Agriculture Forest Service, is conducting studies to answer questions about the environmental effects of mining uranium and other associated elements in the region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243003","collaboration":"Prepared in cooperation with the National Park Service, Bureau of Land Management, and U.S. Department of Agriculture Forest Service","programNote":"Environmental Health Program","usgsCitation":"Walton-Day, K., Siebers, B.J., Hinck, J.E., Campbell, K.M., Croteau, M.-N., 2024, Balancing natural resource use and extraction of uranium and other elements in the Grand Canyon region: U.S. Geological Survey Fact Sheet 2024–3003, 6 p., https://doi.org/10.3133/fs20243003.","productDescription":"Report: 6 p.; 7 Data Releases","onlineOnly":"N","ipdsId":"IP-143974","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":429447,"rank":17,"type":{"id":34,"text":"Image 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Work"},"url":"https://doi.org/10.3133/sir20105025","text":"USGS Scientific Investigations Report 2010-5025","linkHelpText":"- Hydrological, geological, and biological site characterization of breccia pipe uranium deposits in Northern Arizona"},{"id":428566,"rank":14,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231092","text":"USGS Open-File Report 2023-1092","linkHelpText":"- Expanded conceptual risk framework for uranium mining in Grand Canyon watershed—Inclusion of the Havasupai Tribe perspective"},{"id":499116,"rank":20,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117020.htm","linkFileType":{"id":5,"text":"html"}},{"id":428565,"rank":12,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip241","text":"USGS General Information Product 241","linkHelpText":"- Havasuw Baj Gwawg Gnavg"},{"id":428563,"rank":11,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip240","text":"USGS General Information Product 240","linkHelpText":"- Conceptual risk framework—Havasupai Perspective"},{"id":428592,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KTLXL8","text":"USGS data release","linkHelpText":"Surface materials data from breccia-pipe uranium mine and reference sites, Arizona, USA"},{"id":428590,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VM6GKF","text":"USGS data release","linkHelpText":"Geochemical and mineralogical analyses of uranium ores from the Hack II and Pigeon deposits, solution-collapse breccia pipes, Grand Canyon region, Mohave and Coconino Counties, Arizona, USA"},{"id":428588,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UUILQI","text":"USGS data release","linkHelpText":"Geochemical and X-ray diffraction analyses of drill core samples from the Canyon uranium-copper deposit, a solution-collapse breccia pipe, Grand Canyon area, Coconino County, Arizona"},{"id":481652,"rank":13,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip249","text":"USGS General Information Product 249","linkHelpText":"- Uranium mining, the Grand Canyon region, and the science of an ecosystem"},{"id":428564,"rank":10,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip239","text":"USGS General Information Product 239","linkHelpText":"- Contaminant exposure framework—Havasupai Perspective"},{"id":428591,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F745JX","text":"USGS data release","linkHelpText":"Mineralogical analyses of drill core samples from the Canyon uranium-copper deposit, a solution-collapse breccia pipe, Grand Canyon area, Coconino County, Arizona, USA"},{"id":428589,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P912U706","text":"USGS data 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Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.30596844685289,\n 37.14349720521058\n ],\n [\n -114.30596844685289,\n 35.48821967579521\n ],\n [\n -111.306700868728,\n 35.48821967579521\n ],\n [\n -111.306700868728,\n 37.14349720521058\n ],\n [\n -114.30596844685289,\n 37.14349720521058\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
The bridle shiner (Notropis bifrenatus) is a small cyprinid native to the eastern United States and Canada. Bridle shiner populations have declined across their range, and the species now receives concern status or legal protection in 13 states and two provinces. Bridle shiners were historically found in southern and western Maine in densely vegetated, shallow habitats along the shorelines of streams and ponds. We surveyed areas of Maine that supported historical bridle shiner populations using environmental DNA (eDNA) and traditional seine netting methods, and then used eDNA sampling to survey areas with unknown bridle shiner presence. We rediscovered bridle shiner populations at 11 of 32 historically occupied waterbodies and documented bridle shiners in four additional waterbodies. We determined that both eDNA and seine net surveys are viable options for monitoring bridle shiners in Maine and identified ways to streamline the eDNA methods used in this study to reduce the time and cost of future surveys.
","language":"English","publisher":"Elsevier","doi":"10.1139/cjfas-2023-0234","usgsCitation":"Katz, L., Coghlan, S., Blomberg, E., Kinnison, M., York, G., and Zydlewski, J.D., 2024, An integrative approach to assessing bridle shiner (Notropis bifrenatus) distribution using environmental DNA and traditional techniques: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 9, p. 1217-1237, https://doi.org/10.1139/cjfas-2023-0234.","productDescription":"21 p.","startPage":"1217","endPage":"1237","ipdsId":"IP-156983","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.28687941744356,\n 44.13283787289649\n ],\n [\n -70.98433494928311,\n 43.14408728902501\n ],\n [\n -68.27891486555993,\n 43.975774632672454\n ],\n [\n -67.15480975601744,\n 44.885588956909174\n ],\n [\n -70.28687941744356,\n 44.13283787289649\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"81","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Katz, Lara S.","contributorId":348223,"corporation":false,"usgs":false,"family":"Katz","given":"Lara S.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":348224,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen M. Jr.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blomberg, Erik J.","contributorId":348225,"corporation":false,"usgs":false,"family":"Blomberg","given":"Erik J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923270,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinnison, Michael T.","contributorId":348226,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923271,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"York, Geneva","contributorId":348227,"corporation":false,"usgs":false,"family":"York","given":"Geneva","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923272,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":923273,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262836,"text":"70262836 - 2024 - Intraguild interactions and abiotic conditions mediate occupancy of mammalian carnivores: Co-occurrence of coyotes–fishers–martens","interactions":[],"lastModifiedDate":"2025-01-24T17:11:08.33212","indexId":"70262836","displayToPublicDate":"2024-06-03T10:05:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Intraguild interactions and abiotic conditions mediate occupancy of mammalian carnivores: Co-occurrence of coyotes–fishers–martens","docAbstract":"The widespread eradication of large carnivores and subsequent expansion of top mesopredators has the potential to impact species and community interactions with ecosystem-wide implications. An example of these trophic dynamics is the widespread establishment of coyotes following extirpation of wolves and mountain lions in eastern North America. Here, we examined occupancy of three carnivores in northern New York considering both environmental/habitat factors and interspecific interactions. We estimated the co-occurrence of coyotes, fishers, and martens from a landscape-scale winter camera trap survey repeated annually for three years. Martens occurred independently of both coyotes and fishers, while fishers and coyotes displayed positive intraguild interactions that were constant across the landscape. Both marten and fisher first-order occupancy were driven by a combination of biotic and abiotic factors, with both species displaying positive associations with forest cover but antithetical responses to average snow depth. The integral and antithetical role of snow depth in driving the occurrence of martens (positive) and fishers (negative) in the landscape indicates that future climatic warming could reduce the availability of current spatial refuges for martens created by severe winter conditions. Climate-driven alterations to established competitive interactions and co-existence patterns between marten and fisher have critical implications for the species survival and conservation. We provide correlational evidence consistent with the potential for positive top–down effects of dominant mesocarnivores on subordinate species, with fisher occupancy increasing conditional on the presence of coyotes across the landscape. These findings align with the hypothesis that under certain conditions, coyotes may facilitate certain subordinate carnivores. The evidence produced here is consistent with hypotheses on the dynamic nature of trophic niches. We demonstrate the need to consider the interplay between climate, habitat, and interspecific interactions to understand wildlife occupancy patterns and inform wildlife management in a rapidly changing world.
","language":"English","publisher":"Wiley","doi":"10.1111/oik.10577","usgsCitation":"Twining, J., Brazeal, J., Jensen, P., and Fuller, A.K., 2024, Intraguild interactions and abiotic conditions mediate occupancy of mammalian carnivores: Co-occurrence of coyotes–fishers–martens: Oikos, v. 2024, no. 6, e10577, 13 p., https://doi.org/10.1111/oik.10577.","productDescription":"e10577, 13 p.","ipdsId":"IP-146098","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502431,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":481154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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York\",\"nation\":\"USA \"}}]}","volume":"2024","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Twining, Joshua P.","contributorId":349854,"corporation":false,"usgs":false,"family":"Twining","given":"Joshua P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":924960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brazeal, Jennifer L.","contributorId":349856,"corporation":false,"usgs":false,"family":"Brazeal","given":"Jennifer L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":924961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jensen, Paul G.","contributorId":349857,"corporation":false,"usgs":false,"family":"Jensen","given":"Paul G.","affiliations":[{"id":83521,"text":"Division of Fish and Wildlife, New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":924962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":924963,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261675,"text":"70261675 - 2024 - Feature-based maximum entropy for geophysical properties of the seabed","interactions":[],"lastModifiedDate":"2024-12-18T16:15:31.965138","indexId":"70261675","displayToPublicDate":"2024-06-03T09:58:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2516,"text":"Journal of the Acoustical Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Feature-based maximum entropy for geophysical properties of the seabed","docAbstract":"The coherent recombination of a direct and seabed reflected path is sensitive to the geophysical properties of the seabed. The concept of feature-based inversion is used in the analysis of acoustic data collected on a vertical line array (VLA) on the New England continental shelf break in about 200 m of water. The analysis approach for the measurements is based on a ray approach in which a direct and bottom reflected path is recombined, resulting in constructive and destructive interference of the acoustic amplitudes with frequency. The acoustic features have the form of prominent nulls of the measured received levels as a function of frequency as a broadband (500–4500 Hz) source passes the closest point of approach to the VLA. The viscous grain shearing (VGS) model is employed to parameterize a two-layer seabed model. The most likely seabed is a sand sediment with a porosity of about 0.42. There is a possibility of a thin (less than 0.5 m) surface layer having a slightly higher porosity between 0.45 and 0.50. Using the estimates for the VGS parameters inferred from the short-range frequency features, a normal mode model is used to predict the received acoustic levels over larger range scales.
","language":"English","publisher":"Acoustical Society of America","doi":"10.1121/10.0026202","usgsCitation":"Knobles, D., Hodgkiss, W.S., Chaytor, J., Neilsen, T., and Lin, Y., 2024, Feature-based maximum entropy for geophysical properties of the seabed: Journal of the Acoustical Society of America, v. 155, https://doi.org/10.1121/10.0026202.","productDescription":"9 p.","startPage":"3567","ipdsId":"IP-161138","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467000,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1121/10.0026202","text":"Publisher Index Page"},{"id":465279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"New England shelf break","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.233333,\n 40.1\n ],\n [\n -71.233333,\n 39.6833\n ],\n [\n -70.4333,\n 39.6833\n ],\n [\n -70.4333,\n 40.1\n ],\n [\n -71.233333,\n 40.1\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"155","edition":"3559","noUsgsAuthors":false,"publicationDate":"2024-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Knobles, D.P.","contributorId":347335,"corporation":false,"usgs":false,"family":"Knobles","given":"D.P.","affiliations":[{"id":83140,"text":"KSA, LLC","active":true,"usgs":false}],"preferred":false,"id":921396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgkiss, William S..","contributorId":317854,"corporation":false,"usgs":false,"family":"Hodgkiss","given":"William","email":"","middleInitial":"S..","affiliations":[{"id":34004,"text":"Scripps Institute of Oceanography","active":true,"usgs":false}],"preferred":false,"id":921397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":921398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neilsen, Tracianne","contributorId":347336,"corporation":false,"usgs":false,"family":"Neilsen","given":"Tracianne","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":921399,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lin, Ying-Tsong","contributorId":302804,"corporation":false,"usgs":false,"family":"Lin","given":"Ying-Tsong","email":"","affiliations":[],"preferred":false,"id":921400,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261472,"text":"70261472 - 2024 - A seismic nodal deployment to understand magmatic structure in the vicinity of the Pahala earthquake swarm","interactions":[],"lastModifiedDate":"2024-12-11T16:56:59.978079","indexId":"70261472","displayToPublicDate":"2024-06-03T09:46:07","publicationYear":"2024","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 seismic nodal deployment to understand magmatic structure in the vicinity of the Pahala earthquake swarm","docAbstract":"In summer-fall 2022, 80 three-component SmartSolo IGU-BD3C-5 nodal seismometers were deployed surrounding the Pāhala seismic swarm on the Island of Hawaiʻi, with the goal of improving seismicity catalogs, and seismic velocity images of the crust and upper mantle in this region. The Pāhala swarm, located south of Mauna Loa and Kīlauea, has been the site of a multiyear sustained swarm of seismicity at depths of ~ 25 – 40 km, with order of magnitude increases in rate in 2015, and then again in 2019. This seismicity is possibly related to the input of magma from the mantle plume below, which may then be subsequently transported to volcanic edifices. However, these processes remain enigmatic, in part due to a lack of precise earthquake locations and seismic velocity models in this region. Here we provide an overview of the deployment, an assessment of the quality of the collected data, and discuss the viability of the dataset for local earthquake relocation, tomography, and teleseismic receiver functions. Through comparisons with proximal permanent broadband and short period instruments, we find that the nodes produce high quality data, particularly at periods shorter than 5 s, although we find, document, and correct discrepancies with the gain and polarities of the instruments. We successfully record signals from teleseismic earthquakes, even at periods longer than 5 s (the corner of the flat response of the nodes). We also record local earthquakes, including details related to source characteristics. This indicates that the data is likely to prove useful for investigations using both local and teleseismic earthquake signals to better understand the connections between the deep and shallow magmatic systems of Hawaiʻi. While this deployment provides a snapshot in time, its success may provide a useful benchmark for future studies as the volcanic systems of Hawaiʻi continue to evolve in the future.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240060","usgsCitation":"Janiszewski, H., Bennington, N.L., and Wight, J., 2024, A seismic nodal deployment to understand magmatic structure in the vicinity of the Pahala earthquake swarm: Seismological Research Letters, v. 95, no. 5, p. 3082-3092, https://doi.org/10.1785/0220240060.","productDescription":"11 p.","startPage":"3082","endPage":"3092","ipdsId":"IP-164906","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":465020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.51281317815642,\n 19.2248706279249\n ],\n [\n -155.51281317815642,\n 19.184914533216954\n ],\n [\n -155.44541433375278,\n 19.184914533216954\n ],\n [\n -155.44541433375278,\n 19.2248706279249\n ],\n [\n -155.51281317815642,\n 19.2248706279249\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"95","issue":"5","edition":"2024","noUsgsAuthors":false,"publicationDate":"2024-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Janiszewski, Helen","contributorId":347043,"corporation":false,"usgs":false,"family":"Janiszewski","given":"Helen","affiliations":[{"id":82286,"text":"University of Hawai'i at Mānoa","active":true,"usgs":false}],"preferred":false,"id":920672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennington, Ninfa Lucia 0000-0003-3230-6744","orcid":"https://orcid.org/0000-0003-3230-6744","contributorId":346226,"corporation":false,"usgs":true,"family":"Bennington","given":"Ninfa","email":"","middleInitial":"Lucia","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wight, Jade","contributorId":347044,"corporation":false,"usgs":false,"family":"Wight","given":"Jade","email":"","affiliations":[{"id":82286,"text":"University of Hawai'i at Mānoa","active":true,"usgs":false}],"preferred":false,"id":920674,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70255141,"text":"70255141 - 2024 - Development of high surface area organosilicate nanoparticulate thin films for use in sensing hydrophobic compounds in sediment and water","interactions":[],"lastModifiedDate":"2024-06-12T14:15:49.325836","indexId":"70255141","displayToPublicDate":"2024-06-03T09:11:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17819,"text":"Biosensors","active":true,"publicationSubtype":{"id":10}},"title":"Development of high surface area organosilicate nanoparticulate thin films for use in sensing hydrophobic compounds in sediment and water","docAbstract":"The scope of this study was to apply advances in materials science, specifically the use of organosilicate nanoparticles as a high surface area platform for passive sampling of chemicals or pre-concentration for active sensing in multiple-phase complex environmental media. We have developed a novel nanoporous organosilicate (NPO) film as an extraction phase and proof of concept for application in adsorbing hydrophobic compounds in water and sediment. We characterized the NPO film properties and provided optimization for synthesis and coatings in order to apply the technology in environmental media. NPO films in this study had a very high surface area, up to 1325 m2/g due to the high level of mesoporosity in the film. The potential application of the NPO film as a sorbent phase for sensors or passive samplers was evaluated using a model hydrophobic chemical, polychlorinated biphenyls (PCB), in water and sediment. Sorption of PCB to this porous high surface area nanoparticle platform was highly correlated with the bioavailable fraction of PCB measured using whole sediment chemistry, porewater chemistry determined by solid-phase microextraction fiber methods, and the Lumbriculus variegatus bioaccumulation bioassay. The surface-modified NPO films in this study were found to highly sorb chemicals with a log octanol-water partition coefficient (Kow) greater than four; however, surface modification of these particles would be required for application to other chemicals.
","language":"English","publisher":"MDPI","doi":"10.3390/bios14060288","usgsCitation":"Bok, S., Korampally, V.R., Stanley, J., Gangopadhyay, K., Gangopadhyay, S., and Steevens, J.A., 2024, Development of high surface area organosilicate nanoparticulate thin films for use in sensing hydrophobic compounds in sediment and water: Biosensors, v. 14, no. 6, 288, 12 p., https://doi.org/10.3390/bios14060288.","productDescription":"288, 12 p.","ipdsId":"IP-155021","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":439451,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/bios14060288","text":"Publisher Index Page"},{"id":434948,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7251H4B","text":"USGS data release","linkHelpText":"Development of High Surface Area Organosilicate Nanoparticulate Thin Films for Use in Sampling Hydrophobic Compounds in Sediment-Data"},{"id":430011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Bok, Sangho","contributorId":336578,"corporation":false,"usgs":false,"family":"Bok","given":"Sangho","email":"","affiliations":[{"id":32977,"text":"Southern Utah University","active":true,"usgs":false}],"preferred":false,"id":903523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Korampally, Venumadhav R.","contributorId":336576,"corporation":false,"usgs":false,"family":"Korampally","given":"Venumadhav","email":"","middleInitial":"R.","affiliations":[{"id":13666,"text":"Northern Illinois University","active":true,"usgs":false}],"preferred":false,"id":903524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Jacob K.","contributorId":338742,"corporation":false,"usgs":false,"family":"Stanley","given":"Jacob K.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":903525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gangopadhyay, Keshab","contributorId":336579,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Keshab","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":903526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gangopadhyay, Shubhra","contributorId":336580,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Shubhra","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":903527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":903528,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70257451,"text":"70257451 - 2024 - Predicting the odds of chronic wasting disease with Habitat Risk software","interactions":[],"lastModifiedDate":"2024-09-09T16:06:16.803506","indexId":"70257451","displayToPublicDate":"2024-06-03T08:55:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6475,"text":"Spatial and Spatio-temporal Epidemiology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the odds of chronic wasting disease with Habitat Risk software","docAbstract":"Chronic wasting disease (CWD) is a transmissible spongiform encephalopathy that was first detected in captive cervids in Colorado, United States (US) in 1967, but has since spread into free-ranging white-tailed deer (Odocoileus virginianus) across the US and Canada as well as to Scandinavia and South Korea. In some areas, the disease is considered endemic in wild deer populations, and governmental wildlife agencies have employed epidemiological models to understand long-term environmental risk. However, continued rapid spread of CWD into new regions of the continent has underscored the need for extension of these models into broader tools applicable for wide use by wildlife agencies. Additionally, efforts to semi-automate models will facilitate access of technical scientific methods to broader users. We introduce software (Habitat Risk) designed to link a previously published epidemiological model with spatially referenced environmental and disease testing data to enable agency personnel to make up-to-date, localized, data-driven predictions regarding the odds of CWD detection in surrounding areas after an outbreak is discovered. Habitat Risk requires pre-processing publicly available environmental datasets and standardization of disease testing (surveillance) data, after which an autonomous computational workflow terminates in a user interface that displays an interactive map of disease risk. We demonstrated the use of the Habitat Risk software with surveillance data of white-tailed deer from Tennessee, USA.
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David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanley, Brenda J.","contributorId":342860,"corporation":false,"usgs":false,"family":"Hanley","given":"Brenda","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":910451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Them, Cara E.","contributorId":342863,"corporation":false,"usgs":false,"family":"Them","given":"Cara","email":"","middleInitial":"E.","affiliations":[{"id":81945,"text":"Cara Them Consulting","active":true,"usgs":false}],"preferred":false,"id":910452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, Corey I.","contributorId":342864,"corporation":false,"usgs":false,"family":"Mitchell","given":"Corey","email":"","middleInitial":"I.","affiliations":[{"id":81948,"text":"Desert Centered Ecology","active":true,"usgs":false}],"preferred":false,"id":910453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelly, James","contributorId":342865,"corporation":false,"usgs":false,"family":"Kelly","given":"James","email":"","affiliations":[{"id":13408,"text":"Tennessee Wildlife Resources Agency","active":true,"usgs":false}],"preferred":false,"id":910454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grove, Daniel","contributorId":342866,"corporation":false,"usgs":false,"family":"Grove","given":"Daniel","email":"","affiliations":[{"id":81949,"text":"University of Tennessee Extension","active":true,"usgs":false}],"preferred":false,"id":910455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hollingshead, Nicholas","contributorId":342867,"corporation":false,"usgs":false,"family":"Hollingshead","given":"Nicholas","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":910456,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Abbott, Rachel C.","contributorId":342868,"corporation":false,"usgs":false,"family":"Abbott","given":"Rachel","email":"","middleInitial":"C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":910457,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schuler, Krysten L.","contributorId":342869,"corporation":false,"usgs":false,"family":"Schuler","given":"Krysten L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":910458,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70254696,"text":"70254696 - 2024 - Microtopographic variation as a potential early indicator of ecosystem state change and vulnerability in salt marshes","interactions":[],"lastModifiedDate":"2024-08-26T14:48:46.255028","indexId":"70254696","displayToPublicDate":"2024-06-03T08:09:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Microtopographic variation as a potential early indicator of ecosystem state change and vulnerability in salt marshes","docAbstract":"As global climate change alters the magnitude and rates of environmental stressors, predicting the extent of ecosystem degradation driven by these rapidly changing conditions becomes increasingly urgent. At the landscape scale, disturbances and stressors can increase spatial variability and heterogeneity — indicators that can serve as potential early warnings of declining ecosystem resilience. Increased spatial variability in salt marshes at the landscape scale has been used to quantify the propagation of ponding in salt marsh interiors, but ponding at the landscape scale follows a state change rather than predicts it. Here, we suggest a novel application of commonly collected surface elevation table (SET) data and explore millimeter-scale marsh surface microtopography as a potential early indicator of ecosystem transition. We find an increase in spatial variability using multiple metrics of microtopographic heterogeneity in vulnerable salt marsh communities across the North American Atlantic seaboard. Increasing microtopographic heterogeneity in vulnerable salt marshes mirrored increasing trends in variance when a tipping point is approached in other alternative stable state systems — indicating that early warning signals of marsh drowning and ecosystem transition are observable at small-spatial scales prior to runaway ecosystem degradation. Congruence between traditional and novel metrics of marsh vulnerability suggests that microtopographic metrics can be used to identify hidden vulnerability before widespread marsh degradation. This novel analysis can be easily applied to existing SET records expanding the traditional focus on vertical change to additionally encapsulate lateral processes.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-024-01368-1","usgsCitation":"Smith, A., Guntenspergen, G.R., Carr, J., Walters, D., and Kirwan, M.L., 2024, Microtopographic variation as a potential early indicator of ecosystem state change and vulnerability in salt marshes: Estuaries and Coasts, v. 47, p. 2120-2134, https://doi.org/10.1007/s12237-024-01368-1.","productDescription":"15 p.","startPage":"2120","endPage":"2134","ipdsId":"IP-152225","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":439454,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-024-01368-1","text":"Publisher Index Page"},{"id":429630,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.39758178435103,\n 45.14475385540766\n ],\n [\n -70.3084213352815,\n 44.02821671855119\n ],\n [\n -71.19813131307133,\n 42.49696112101563\n ],\n [\n -71.57437875840237,\n 41.77400052856967\n ],\n [\n -74.40185334833625,\n 40.717694399570604\n ],\n [\n -75.82782658631511,\n 39.87862316287672\n ],\n [\n -76.95565253223305,\n 39.00647866570182\n ],\n [\n -77.26038548427893,\n 38.094322653850526\n ],\n [\n -76.28092406797784,\n 36.66944073621046\n ],\n [\n -75.72598894650827,\n 36.54233944412836\n ],\n [\n -74.75705330756968,\n 38.64678711786095\n ],\n [\n -73.69818233519185,\n 40.18344404740452\n ],\n [\n -71.96808333306974,\n 40.73212702940066\n ],\n [\n -69.6902480827983,\n 41.09470832081422\n ],\n [\n -69.72249581894347,\n 42.0772922743393\n ],\n [\n -70.83603122003584,\n 42.39345455358591\n ],\n [\n -70.33580285947554,\n 42.8225641153189\n ],\n [\n -69.75405469649851,\n 43.62569649795407\n ],\n [\n -66.82164389282606,\n 44.61783474223677\n ],\n [\n -67.39758178435103,\n 45.14475385540766\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2024-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Alexander J.","contributorId":140345,"corporation":false,"usgs":false,"family":"Smith","given":"Alexander J.","affiliations":[{"id":13464,"text":"Environmental Analyst, NY State Dept of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":902307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":902308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":902309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, David 0000-0002-5836-681X waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-5836-681X","contributorId":270366,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":902310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirwan, Matt L.","contributorId":189205,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matt","middleInitial":"L.","affiliations":[],"preferred":false,"id":902311,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257449,"text":"70257449 - 2024 - Integrating presence-only and detection/non-detection data to estimate distributions and expected abundance of difficult-to-monitor species on a landscape-scale","interactions":[],"lastModifiedDate":"2024-09-06T16:55:15.495908","indexId":"70257449","displayToPublicDate":"2024-06-03T07:55:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Integrating presence-only and detection/non-detection data to estimate distributions and expected abundance of difficult-to-monitor species on a landscape-scale","docAbstract":"We examined the influence of local habitat factors such as plant community composition and species cover, and landscape habitat factors (e.g., land cover types) on the composition of the avian community in an arid-region large river delta (Colorado River). This 106 river km-long study area has experienced restoration through environmental water deliveries and active management of vegetation for ca. 10 years after decades of degradation. Variation partitioning and spatial models (Moran Eigenvector Maps) showed that plant communities and land cover combined explained 29.3% of the variability of 115 bird species, with a high overlap of 13.1% as vegetation and landscape factors were partially confounded and spatially correlated. Redundancy analyses showed that a higher cover of native riparian trees and shrubs and a larger amount of land covered by forests, typical characteristics of revegetated sites, favored bird species with affinity for riparian forests. Marshland and open water landscape features and high cover of macrophytes (which were common in the wettest river reach among the five included in the study), irrespective of active revegetation, were associated with a higher prevalence of wetland birds. Dominance by the non-native shrub Tamarix spp. and, especially, barren areas were detrimental to most bird species. The proportion of agricultural lands around the study sites was related to high abundance of generalists and some non-native species. Overall, our study showed that both local (vegetation) and landscape (land use) factors are important considerations for restoration of riparian bird communities.
Sea-level rise rates are predicted to surpass rates of wetland vertical adjustment in the coming decades in many areas, increasing the potential for wetland submergence. Information on where wetland migration is possible can help natural resource managers for planning land acquisition or enhancing habitat connectivity to bolster adaptation of coastal wetlands to rising seas. Elevation-based models of wetland migration are often hampered with uncertainty associated with ground surface elevation, current water levels (i.e., tides and extreme water levels), and future water levels from sea-level rise. Here, we developed an approach that involved digital elevation model error reduction and the use of Monte Carlo simulations that utilize uncertainty assumptions regarding elevation error, contemporary water levels, and future sea levels to identify potential wetland migration areas. Our analyses were developed for Duvall and Nassau Counties in northeastern Florida (USA). We focus on the migration of regularly oceanic-flooded wetlands (i.e., flooded by oceanic water daily) and irregularly oceanic-flooded wetlands (i.e., flooded by oceanic water less frequently than daily). For two relative sea-level rise scenarios based on the 0.5 m and the 1.5 m global mean sea-level rise scenarios, we quantified migration by wetland flooding frequency class and identified land cover and land use types that are vulnerable to future exposure to oceanic waters. The variability in total coverage and relative coverage of wetland migration from our results highlights how topography and accelerated sea-level rise interact. Our wetland migration results communicate uncertainty by showing flooding frequency class as probabilistic outputs.
Integrated hydrological models (IHMs) help characterize the complexity of surface–groundwater interactions. The cascade routing and re-infiltration (CRR) concept, recently applied to a MODFLOW 6 IHM, improved conceptualization and simulation of overland flow processes. The CRR controls the transfer of rejected infiltration and groundwater exfiltration from upslope areas to adjacent downslope areas where that water can be evaporated, re-infiltrated back to subsurface, or discharged to streams as direct runoff. The partitioning between these three components is controlled by uncertain parameters that must be estimated. Thus, by quantifying and reducing those uncertainties, next to uncertainties of the other model parameters (e.g. hydraulic and storage parameters), the reliability of the CRR is improved and the IHM is better suited for decision support modelling, the two key objectives of this work. To this end, the remotely sensed MODIS-ET product was incorporated into the calibration process for complementing traditional hydraulic head and streamflow observations. A total of approximately 150,000 observations guided the calibration of a 13-year MODFLOW 6 IHM simulation of the Sardon catchment (Spain) with daily stress periods. The model input uncertainty was represented by grid-cell-scale parameterization, yielding approximately 500,000 unknown input parameters to be conditioned. The calibration was carried out through an iterative ensemble smoother. Incorporating the MODIS-ET data improved the CRR implementation, and reduced uncertainties associated with other model parameters. Additionally, it significantly reduced the uncertainty associated with net recharge, a critical flux for water management that cannot be directly measured and rather is commonly estimated by IHM simulations.
The release of sterilized insects to control pest populations has been used successfully during the past 6 decades, but application of the method in vertebrates has largely been overlooked or met with failure. Here, we demonstrate for the first time in fish, that a small population of sea lamprey (Petromyzon marinus; Class Agnatha), arguably one of the most impactful invasive fish in the world, can be controlled by the release of sterilized males. Specifically, the release of high numbers of sterile males (~ 1000's) into a geographically isolated population of adult sea lamprey resulted in the first multiyear delay in pesticide treatment since treatments began during 1966. Estimates of percent reduction in recruitment of age-1 sea lamprey due to sterile male release ranged from 7 to 99.9% with the precision of the estimate being low because of substantial year-to-year variability in larval density and distribution. Additional monitoring that accounts for recruitment variability in time and space would reduce uncertainty in the degree to which sterile male release reduces recruitment rates. The results are relevant to vertebrate pest control programs worldwide, especially as technical opportunities to sterilize vertebrates and manipulate sex ratios expand.
Snorkel surveys are frequently used to monitor stream-dwelling fish. Inferring local abundance from snorkel surveys is complicated by two primary factors: variable fish detection probabilities and the relative abundance of fish in habitat types below the recommended minimum depth for snorkeling. We examine these factors across three salmonid species (Oncorhynchus spp.), 4 years, and 113 location-years in Oregon coastal streams. We calibrate snorkel counts to mark-recapture estimates and develop mathematically explicit expressions that convert a new snorkel count into a probability density of abundance for streams containing mixed habitat types that were and were not snorkeled. Snorkelers detected 63%, 47%, and 39% of juvenile coho salmon (Oncorhynchus kitsutch), steelhead trout (Oncorhynchus mykiss), and cutthroat trout (Oncorhynchus clarkii clarkia) estimated by mark-recapture, respectively, but uncertainty within and among sampling units was high. Further, analytics developed here can be used to infer abundance and uncertainty for habitat types that were not snorkeled. Our quantification of uncertainty arising from using snorkel counts as a proxy for abundance will help managers balance biological risks with available resources.
","language":"English","publisher":"Elsevier","doi":"10.1139/cjfas-2023-0085","usgsCitation":"Falcy, M.R., and Constable Jr., R., 2024, Quantifying uncertainty when extrapolating the relationship between snorkel counts and mark-recapture estimates of juvenile salmonids: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 9, p. 1279-1291, https://doi.org/10.1139/cjfas-2023-0085.","productDescription":"13 p.","startPage":"1279","endPage":"1291","ipdsId":"IP-149264","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487937,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2023-0085","text":"Publisher Index Page"},{"id":485346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.99404150525729,\n 46.209245837578464\n ],\n [\n -123.99404150525729,\n 42.009635177621306\n ],\n [\n -120.93485680784511,\n 42.009635177621306\n ],\n [\n -120.93485680784511,\n 46.209245837578464\n ],\n [\n -123.99404150525729,\n 46.209245837578464\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"81","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Falcy, Matthew Richard 0000-0002-3332-2239","orcid":"https://orcid.org/0000-0002-3332-2239","contributorId":288500,"corporation":false,"usgs":true,"family":"Falcy","given":"Matthew","email":"","middleInitial":"Richard","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Constable Jr., Ronald J.","contributorId":354106,"corporation":false,"usgs":false,"family":"Constable Jr.","given":"Ronald J.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":935107,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70261311,"text":"70261311 - 2024 - Assessing the sustainability of Pacific walrus harvest in a changing environment","interactions":[{"subject":{"id":70261311,"text":"70261311 - 2024 - Assessing the sustainability of Pacific walrus harvest in a changing environment","indexId":"70261311","publicationYear":"2024","noYear":false,"title":"Assessing the sustainability of Pacific walrus harvest in a changing environment"},"predicate":"SUPERSEDED_BY","object":{"id":70261308,"text":"70261308 - 2025 - Assessing the sustainability of Pacific walrus harvest in a changing environment","indexId":"70261308","publicationYear":"2025","noYear":false,"title":"Assessing the sustainability of Pacific walrus harvest in a changing environment"},"id":1}],"supersededBy":{"id":70261308,"text":"70261308 - 2025 - Assessing the sustainability of Pacific walrus harvest in a changing environment","indexId":"70261308","publicationYear":"2025","noYear":false,"title":"Assessing the sustainability of Pacific walrus harvest in a changing environment"},"lastModifiedDate":"2024-12-05T15:34:03.963415","indexId":"70261311","displayToPublicDate":"2024-06-02T08:48:43","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Assessing the sustainability of Pacific walrus harvest in a changing environment","docAbstract":"Harvest sustainability is a primary goal of wildlife management and conservation, and in a changing world it is increasingly important to consider environmental drivers of population dynamics alongside harvest in cohesive management plans. This is particularly pertinent for harvested species that are acutely experiencing effects of climate change. The Pacific walrus (Odobenus rosmarus divergens), a critical traditional subsistence resource for indigenous communities, is simultaneously subject to rapid habitat loss associated with diminishing sea ice and an increasing anthropogenic footprint in the Arctic. We developed a theta-logistic population modeling-management framework to evaluate various harvest scenarios combined with four potential climate/disturbance scenarios (ranging from optimistic–pessimistic) which simulates Pacific walrus population dynamics to the end of the 21st century. We considered two types of harvest strategies: (1) adaptive harvest scenarios wherein harvest is calculated as a percentage of the population and annual harvests are updated at set intervals as the population is reassessed, and (2) non-adaptive harvest scenarios wherein annual harvest remains constant. All climate/disturbance scenarios indicated declines of varying severity in Pacific walrus abundance to the end of the 21st century, even in the absence of harvest. However, we found that an adaptive annual harvest of 1.23% of the independent-aged female subset of the population (e.g., 1,280 independent-aged females harvested in 2020, representing contemporary harvest levels) met our criterion for sustainability (>70% probability of maintaining population abundance above maximum net productivity level) under all climate/disturbance scenarios, accepting a medium risk tolerance level of 25%. This suggests that the present rate of Pacific walrus harvest is sustainable and will continue to be—provided the harvest adapts to match changes in population dynamics. Our simulations suggest that a sustainable non-adaptive harvest is also possible, but only at low levels if the population declines as expected. Applying a constant annual harvest of 1,280 independent-aged females (equivalent to contemporary harvest levels of 1.23) exceeded our criterion for sustainability and resulted in a >5% chance of quasi-extinction by the end of the 21st century under three of the four climate/disturbance scenarios we evaluated. Our results highlight the importance of adaptive co-management strategies, and we suggest such modeling frameworks are useful for managing for harvest sustainability in a changing climate.
","language":"English","publisher":"BioRxiv","doi":"10.1101/2024.05.29.596516","usgsCitation":"Johnson, D., Eisaguirre, J.M., Taylor, R.L., Andersen, E., and Garlich-Miller, J., 2024, Assessing the sustainability of Pacific walrus harvest in a changing environment: BioRxiv, https://doi.org/10.1101/2024.05.29.596516.","productDescription":"37 p.","ipdsId":"IP-166369","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":467001,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2024.05.29.596516","text":"External Repository"},{"id":464799,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Devin","contributorId":346945,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eisaguirre, Joseph Michael 0000-0002-0450-8472","orcid":"https://orcid.org/0000-0002-0450-8472","contributorId":301980,"corporation":false,"usgs":true,"family":"Eisaguirre","given":"Joseph","email":"","middleInitial":"Michael","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":920336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":920337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, Erik","contributorId":346947,"corporation":false,"usgs":false,"family":"Andersen","given":"Erik","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garlich-Miller, Joel","contributorId":346948,"corporation":false,"usgs":false,"family":"Garlich-Miller","given":"Joel","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920339,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255926,"text":"70255926 - 2024 - Complex hydrology and variability of nitrogen sources in a karst watershed","interactions":[],"lastModifiedDate":"2024-07-10T13:31:41.001253","indexId":"70255926","displayToPublicDate":"2024-06-02T08:14:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Complex hydrology and variability of nitrogen sources in a karst watershed","docAbstract":"Streams draining karst areas with rapid groundwater transit times may respond relatively quickly to nitrogen reduction strategies, but the complex hydrologic network of interconnected sinkholes and springs is challenging for determining the placement and effectiveness of management practices. This study aims to inform nitrogen reduction strategies in a representative agricultural karst setting of the Chesapeake Bay watershed (Fishing Creek watershed, Pennsylvania) with known elevated nitrate contamination and a previous documented groundwater residence time of less than a decade. During baseflow conditions, streamflow did not increase with drainage area. Headwaters and the main stem lost substantial flow to sinkholes until eventually discharging along large springs downstream. Seasonal hydrologic conditions shift the flow and nitrogen load spatially among losing and gaining stream sections. A compilation of nitrogen source inputs with the geochemistry and the pattern of enrichment of δ15N and δ18O suggest that the nitrogen in streams and springs during baseflow represents a mixture of manure, fertilizer, and wastewater sources with low potential for denitrification. The pH and calcite saturation index increased along generalized flow paths from headwaters to springs and indicate shorter groundwater residence times in baseflow during the spring versus summer. Given the substantial investment in management practices, fixed monitoring sites could incorporate synoptic water sampling to properly monitor long-term progress and help inform management actions in karst watersheds. Although karst watersheds have the potential to respond to nitrogen reduction strategies due to shorter groundwater residence times, high nitrogen inputs, effectiveness of conservation practices, and release of legacy nutrients within the karst cavities could confound progress of water quality goals.
","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/jeq2.20578","usgsCitation":"Clune, J.W., Cravotta, C., Husic, A., Dozier, H.J., and Schmidt, K.E., 2024, Complex hydrology and variability of nitrogen sources in a karst watershed: Journal of Environmental Quality, v. 53, no. 4, p. 492-507, https://doi.org/10.1002/jeq2.20578.","productDescription":"16 p.","startPage":"492","endPage":"507","ipdsId":"IP-142123","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":439459,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20578","text":"Publisher Index Page"},{"id":430890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Fishing Creek watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.83891540849118,\n 41.44436215062939\n ],\n [\n -76.8086844380523,\n 41.44436215062939\n ],\n [\n -76.8086844380523,\n 40.98993659464011\n ],\n [\n -75.83891540849118,\n 40.98993659464011\n ],\n [\n -75.83891540849118,\n 41.44436215062939\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"53","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Clune, John W. 0000-0002-3563-1975","orcid":"https://orcid.org/0000-0002-3563-1975","contributorId":209635,"corporation":false,"usgs":true,"family":"Clune","given":"John","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":258816,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Husic, Admin 0000-0002-4225-2252","orcid":"https://orcid.org/0000-0002-4225-2252","contributorId":340064,"corporation":false,"usgs":false,"family":"Husic","given":"Admin","email":"","affiliations":[{"id":81445,"text":"Assistant Professor (Kansas University)","active":true,"usgs":false}],"preferred":false,"id":906049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dozier, Hilary J 0000-0001-6869-8466","orcid":"https://orcid.org/0000-0001-6869-8466","contributorId":335092,"corporation":false,"usgs":true,"family":"Dozier","given":"Hilary","email":"","middleInitial":"J","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906050,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt, Kurt Eric 0009-0002-5173-551X","orcid":"https://orcid.org/0009-0002-5173-551X","contributorId":340065,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kurt","email":"","middleInitial":"Eric","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":906051,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70256580,"text":"70256580 - 2024 - Treed Gaussian processes for animal movement modeling","interactions":[],"lastModifiedDate":"2024-08-08T11:10:37.521981","indexId":"70256580","displayToPublicDate":"2024-06-02T06:08:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Treed Gaussian processes for animal movement modeling","docAbstract":"Wildlife telemetry data may be used to answer a diverse range of questions relevant to wildlife ecology and management. One challenge to modeling telemetry data is that animal movement often varies greatly in pattern over time, and current continuous-time modeling approaches to handle such nonstationarity require bespoke and often complex models that may pose barriers to practitioner implementation. We demonstrate a novel application of treed Gaussian process (TGP) modeling, a Bayesian machine learning approach that automatically captures the nonstationarity and abrupt transitions present in animal movement. The machine learning formulation of TGPs enables modeling to be nearly automated, while their Bayesian formulation allows for the derivation of movement descriptors with associated uncertainty measures. We demonstrate the use of an existing R package to implement TGPs using the familiar Markov chain Monte Carlo algorithm. We then use estimated movement trajectories to derive movement descriptors that can be compared across individuals and populations. We applied the TGP model to a case study of lesser prairie-chickens (Tympanuchus pallidicinctus) to demonstrate the benefits of TGP modeling and compared distance traveled and residence times across lesser prairie-chicken individuals and populations. For broad usability, we outline all steps necessary for practitioners to specify relevant movement descriptors (e.g., turn angles, speed, contact points) and apply TGP modeling and trajectory comparison to their own telemetry datasets. Combining the predictive power of machine learning and the statistical inference of Bayesian methods to model movement trajectories allows for the estimation of statistically comparable movement descriptors from telemetry studies. Our use of an accessible R package allows practitioners to model trajectories and estimate movement descriptors, facilitating the use of telemetry data to answer applied management questions.
Invasive carp tracking, monitoring, and contracted removal will continue throughout the Upper IWW system as part of an adaptive management effort to mitigate, control, and contain invasive carp. To help facilitate these actions, there is a need to compile and analyze data from the multitude of partner agencies that are collecting invasive carp-related data throughout the Illinois River system. These data are often in disparate formats, and integrating these data into a common format allows both researchers and managers to assess invasive carp monitoring, control, and removal efforts at several scales is necessary. Ensuring the interoperability of these data sets allows for their use in various analyses and modeling efforts. Implementing an interoperable data management framework also provides mechanisms for end users to find and use existing data. Integrating data for use in modeling and analysis furthers the MRWG partnership’s collective understanding of invasive carp life history, distribution, and movement and can be used to facilitate adaptive management actions (e.g., directing monitoring, sampling, and removal efforts; assessing invasive carp abundance to support modeling efforts; informing deployment of control actions). An effective data management strategy will streamline the database update process, providing partners with timely, well-organized, uniformly formatted data and analyses in support of informed decision-making processes.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2023 Monitoring and response plan","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Invasive Carp Regional Coordinating Committee","usgsCitation":"Brey, M.K., and Fritts, A.K., 2024, USGS invasive carp database management & integration support, 4 p.","productDescription":"4 p.","startPage":"90","endPage":"93","ipdsId":"IP-151293","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":432420,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://invasivecarp.us/PlansReports.html","linkFileType":{"id":5,"text":"html"}},{"id":432447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois Waterway","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.48380903104598,\n 41.68958409016773\n ],\n [\n -87.64143789713586,\n 41.8332919304695\n ],\n [\n -89.48044133484973,\n 41.38806459671454\n ],\n [\n -90.75022942279477,\n 39.83926695317629\n ],\n [\n -90.66265783052245,\n 39.082040884611246\n ],\n [\n -90.47000032752403,\n 38.809609526616384\n ],\n [\n -90.39118589447908,\n 38.89826454066113\n ],\n [\n -90.39118589447908,\n 39.86615823720618\n ],\n [\n -89.32281246875988,\n 40.847090394251495\n ],\n [\n -89.200212239579,\n 41.184074184856854\n ],\n [\n -88.24568188381326,\n 41.32233092104789\n ],\n [\n -87.80782392245264,\n 41.46029495699605\n ],\n [\n -87.48380903104598,\n 41.68958409016773\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":909371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fritts, Andrea K. 0000-0003-2142-3339","orcid":"https://orcid.org/0000-0003-2142-3339","contributorId":204594,"corporation":false,"usgs":true,"family":"Fritts","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":909372,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70257059,"text":"70257059 - 2024 - Floral Composition of Pollen Collected from a Rusty Patched Bumble Bee (Bombus affinis, Cresson) Nest in Southeastern Minnesota","interactions":[],"lastModifiedDate":"2024-08-09T16:27:10.733727","indexId":"70257059","displayToPublicDate":"2024-06-01T11:08:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3111,"text":"Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Floral Composition of Pollen Collected from a Rusty Patched Bumble Bee (Bombus affinis, Cresson) Nest in Southeastern Minnesota","docAbstract":"Understanding the forage diets of imperiled bumble bees can improve conservation planning and habitat restoration efforts. In this study, we describe the taxonomic composition of bee-collected pollen from 2 Rusty Patched Bumble Bee (Bombus affinis, Cresson) nests located in southeastern Minnesota. This is the first published reporting of pollen collected from active B. affinis nests. We also compared pollen identification via traditional palynological light microscopy with genetic identification via ITS metabarcoding. Among the 49 pollen samples analyzed, we detected 41 and 56 distinct taxa via light microscopy and metabarcoding, respectively. Furthermore, 27 of 47 total genera overlapped between the 2 methods. Bittersweet Nightshade (Solanum dulcamara, Linnaeus) was the most detected species for both metabarcoding and microscopy identification for pollen prevalence. Pollen volume from the microscopy data showed that Lesser Burdock (Arctium minus, Bernhardi), Alfalfa (Medicago sativa, Linnaeus), Bittersweet Nightshade (Solanum dulcamara, Linnaeus), Plumeless Thistle (Carduus acanthoides, Linnaeus), and Red Clover (Trifolium pratense, Linnaeus) together comprised more than half of the total volume of pollen. Light microscopy and metabarcoding revealed compositionally distinct plant communities when analyzed at the species level. Methodological concordance improved when analyzing pollen data at genus level, but both methods still reveal marginally distinct groupings. Our study highlights specific plant taxa that are important components of B. affinis pollen diets and provides actionable research for conservation efforts in urban systems. Our study also supports that B. affinis is a generalist forager and will collect pollen from a variety of native and non-native host plants.
","language":"English","publisher":"Eagle Hill","usgsCitation":"Simanonok, M., Evans, E., Otto, C., Cornman, R.S., Iwanowicz, D.D., and Smith, T.A., 2024, Floral Composition of Pollen Collected from a Rusty Patched Bumble Bee (Bombus affinis, Cresson) Nest in Southeastern Minnesota: Prairie Naturalist, v. 56, p. 27-41.","productDescription":"15 p.","startPage":"27","endPage":"41","ipdsId":"IP-160196","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":432446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":432394,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.eaglehill.us/prnaonline/access-pages/PRNA-56/033-Otto-accesspage.shtml","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Minnesota","city":"Minneapolis, Red Wing","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.61225175828241,\n 44.57881176403146\n ],\n [\n -92.63295399261459,\n 44.564230949940395\n ],\n [\n -92.5422405658127,\n 44.52390239177129\n ],\n [\n -92.48912798473275,\n 44.539871788283364\n ],\n [\n -92.4841897757635,\n 44.56978661728351\n ],\n [\n -92.61225175828241,\n 44.57881176403146\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.15991053319894,\n 44.996553932968766\n ],\n [\n -93.33784481548938,\n 44.996553932968766\n ],\n [\n -93.33784481548938,\n 44.89229173980186\n ],\n [\n -93.15991053319894,\n 44.89229173980186\n ],\n [\n -93.15991053319894,\n 44.996553932968766\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"56","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Simanonok, Michael 0000-0002-4710-4515","orcid":"https://orcid.org/0000-0002-4710-4515","contributorId":228829,"corporation":false,"usgs":false,"family":"Simanonok","given":"Michael","email":"","affiliations":[],"preferred":false,"id":909300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Elaine","contributorId":335437,"corporation":false,"usgs":false,"family":"Evans","given":"Elaine","email":"","affiliations":[{"id":40035,"text":"U Minnesota","active":true,"usgs":false}],"preferred":false,"id":909301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":909302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":909304,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Tamara A.","contributorId":257977,"corporation":false,"usgs":false,"family":"Smith","given":"Tamara","email":"","middleInitial":"A.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":909305,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70258289,"text":"70258289 - 2024 - Divergent trends in distribution and abundance of landbirds in low and high elevation habitats of the Kaʻū Rainforest","interactions":[],"lastModifiedDate":"2024-09-11T15:21:35.426599","indexId":"70258289","displayToPublicDate":"2024-06-01T10:17:57","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR—2024/141","title":"Divergent trends in distribution and abundance of landbirds in low and high elevation habitats of the Kaʻū Rainforest","docAbstract":"Federal, state, and non-governmental partners resurveyed landbirds in the Kaʻū Rainforest on the Island of Hawai‘i in 2019. Point-transect distance sampling was conducted in Hawaiʻi Volcanoes National Park, Kaʻū Forest Reserve, Kapāpala Forest Reserve, and Kapāpala Cooperative Game Management Area. This is the first comprehensive survey of the region since 2008. Through a collaborative effort, monitoring transects were consolidated to provide a consistent, repeatable sampling frame for future surveys. We estimated landbird distribution, density, and abundance for eight surveys since 1976. Changes in species-specific densities were assessed using a log-linear regression to determine trends of the six most recent surveys since 2002. Trends were assessed in three strata: low elevation (<1,500 m), high elevation (≥1,500 m), and total survey area.","language":"English","publisher":"National Park Service","doi":"10.36967/2303786","usgsCitation":"Judge, S., Brinck, K., Genz, A., Berry, L., Gaudioso-Levita, J.M., Wang, A., and Camp, R.J., 2024, Divergent trends in distribution and abundance of landbirds in low and high elevation habitats of the Kaʻū Rainforest: Science Report NPS/SR—2024/141, xv, 150 p., https://doi.org/10.36967/2303786.","productDescription":"xv, 150 p.","ipdsId":"IP-159072","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":433698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaʻū Rainforest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.6444794653433,\n 19.064295958653375\n ],\n [\n -155.56268757788186,\n 19.11896665946611\n ],\n [\n -155.4290276642252,\n 19.292284893321792\n ],\n [\n -155.45296675323834,\n 19.341232967513434\n ],\n [\n -155.49785254513793,\n 19.36476047437779\n ],\n [\n -155.6953500294963,\n 19.183040318670663\n ],\n [\n -155.67440332660973,\n 19.059582122258277\n ],\n [\n -155.6444794653433,\n 19.064295958653375\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Judge, Seth 0000-0003-3832-3246","orcid":"https://orcid.org/0000-0003-3832-3246","contributorId":189965,"corporation":false,"usgs":false,"family":"Judge","given":"Seth","email":"","affiliations":[],"preferred":false,"id":912827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":3847,"corporation":false,"usgs":true,"family":"Brinck","given":"Kevin W.","email":"kbrinck@usgs.gov","affiliations":[],"preferred":false,"id":912942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Genz, Ayesha 0000-0002-2916-1436","orcid":"https://orcid.org/0000-0002-2916-1436","contributorId":196671,"corporation":false,"usgs":false,"family":"Genz","given":"Ayesha","email":"","affiliations":[],"preferred":false,"id":912829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, Lainie","contributorId":272646,"corporation":false,"usgs":false,"family":"Berry","given":"Lainie","email":"","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":912830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaudioso-Levita, Jacqueline M.","contributorId":173531,"corporation":false,"usgs":false,"family":"Gaudioso-Levita","given":"Jacqueline","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":912831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Alexander","contributorId":344103,"corporation":false,"usgs":false,"family":"Wang","given":"Alexander","email":"","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":912832,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"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":912833,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256189,"text":"70256189 - 2024 - Grand Canyon River Alerts: An emergency alert system designed for satellite texting devices","interactions":[],"lastModifiedDate":"2025-03-14T15:03:11.409463","indexId":"70256189","displayToPublicDate":"2024-06-01T10:17:57","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":8569,"text":"Boatman's Quarterly Review","active":true,"publicationSubtype":{"id":30}},"title":"Grand Canyon River Alerts: An emergency alert system designed for satellite texting devices","docAbstract":"The Grand Canyon River Alert system is now live! \nThe U.S. Geological Survey, Grand Canyon Monitoring and Research Center (GCMRC), in collaboration with Coconino County Emergency Management (CCEM), the National Weather Service (NWS) and the National Park Service (NPS), have developed and implemented a framework for sending emergency alerts to boaters and hikers in Grand Canyon. The system is specifically designed to send alerts to satellite texting devices, such those sold by Garmin and SPOT, and is a first of its kind in the nation. Alert messaging will be provided by NPS, NWS, or the Bureau of Reclamation depending on the nature of the incident. CCEM will disseminate alert messaging to devices subscribed to the Grand Canyon River Alerts list. Boating hazards, missing persons, critical dam related events, and extreme weather and flash flood hazards will be included in alert messaging.","language":"English","publisher":"Grand Canyon River Guides","usgsCitation":"Thomas, J.E., Byerley, E.P., and Gushue, T., 2024, Grand Canyon River Alerts: An emergency alert system designed for satellite texting devices: Boatman's Quarterly Review, v. 37, no. 2 (Summer), p. 4-5.","productDescription":"2 p.","startPage":"4","endPage":"5","ipdsId":"IP-165486","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":483237,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":431435,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.gcrg.org/bqr","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.33074644490493,\n 36.91870475540857\n ],\n [\n -114.08318862547097,\n 36.91870475540857\n ],\n [\n -114.08318862547097,\n 35.65865035177029\n ],\n [\n -111.33074644490493,\n 35.65865035177029\n ],\n [\n -111.33074644490493,\n 36.91870475540857\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"37","issue":"2 (Summer)","noUsgsAuthors":false,"publicationDate":"2024-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Joseph E 0000-0003-1222-7061","orcid":"https://orcid.org/0000-0003-1222-7061","contributorId":333659,"corporation":false,"usgs":true,"family":"Thomas","given":"Joseph","email":"","middleInitial":"E","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":907048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byerley, Erica Paige 0009-0003-8483-7528","orcid":"https://orcid.org/0009-0003-8483-7528","contributorId":333657,"corporation":false,"usgs":true,"family":"Byerley","given":"Erica","email":"","middleInitial":"Paige","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":907049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gushue, Thomas M. 0000-0002-7172-2460","orcid":"https://orcid.org/0000-0002-7172-2460","contributorId":213515,"corporation":false,"usgs":true,"family":"Gushue","given":"Thomas M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":907050,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70252620,"text":"70252620 - 2024 - The U.S. Geological Survey earth mapping resources initiative’s efforts to map the Rocky Mountain region","interactions":[],"lastModifiedDate":"2025-03-13T15:14:01.39401","indexId":"70252620","displayToPublicDate":"2024-06-01T10:08:49","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":20252,"text":"Outcrop","active":true,"publicationSubtype":{"id":30}},"title":"The U.S. Geological Survey earth mapping resources initiative’s efforts to map the Rocky Mountain region","docAbstract":"No abstract available.
","language":"English","publisher":"Rocky Mountain Association of Geologists","usgsCitation":"Day, W.C., and Grauch, V.J., 2024, The U.S. Geological Survey earth mapping resources initiative’s efforts to map the Rocky Mountain region: Outcrop, no. June, p. 16-27.","productDescription":"9 p.","startPage":"16","endPage":"27","ipdsId":"IP-163587","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":483258,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.rmag.org/index.php?src=gendocs&ref=Outcrop2024#June","linkFileType":{"id":5,"text":"html"}},{"id":483259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.32896471076425,\n 37.15485212453561\n ],\n [\n -104.29149449405837,\n 37.61083284530115\n ],\n [\n -104.9931761560703,\n 42.99139887452577\n ],\n [\n -108.424926100973,\n 46.302352123907184\n ],\n [\n -113.72562123108771,\n 48.93977235614307\n ],\n [\n -119.15408113821688,\n 49.0348232219437\n ],\n [\n -115.00093917523652,\n 43.97370919498249\n ],\n [\n -110.22327836655903,\n 40.885032013220865\n ],\n [\n -106.32896471076425,\n 37.15485212453561\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","issue":"June","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":897726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grauch, V. 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Regional patterns of amphibian biodiversity are intimately linked to temperature, evapotranspiration rate, and clines in humidity. While amphibians are and will continue to be adversely affected by recent and projected changes in climate, research suggests that adaptation may happen more slowly than the expected rate of environmental shifts. Here, we review conservation-relevant aspects of both realised and potential impacts of climate change, and outline options for amphibian conservation planning and management. Recent advances in our understanding of climate change impacts on amphibians have primarily stemmed from ecological modelling and direct assessment of climatic tolerances and dispersal capacities through physiological assays, landscape genetics, and dispersal tracking. Anthropogenic climate change has already altered amphibian assemblages and their impacts on ecosystem functioning and services. Because of known and hypothesised ecological tolerances, many amphibians might have reached or exceeded most limits in their ability to adapt to or tolerate further climate change, however the uncertainties are substantial. Implementation of conservation planning and action can help to forestall severe impacts of environmental shifts. Scientific research and science-based decision-making and policy development have already lagged; the current pace of conservation planning and action may not allow for effective identification of threats and mitigation. An increased response rate could help to avert further loss of amphibian biodiversity and decay of ecosystem services. The lack of basic field research in natural habitats continues to be an underlying challenge. We suggest priority areas of research to include the development of biologically realistic predictive models of amphibian response to climate change, field verification of model estimates and key parameters, population monitoring across multiple sites and taxa, and a combination of efforts within and across ecosystems to understand how impacts of climate change can be better mitigated.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Amphibian conservation action plan: A status review and roadmap for global amphibian conservation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"IUCN","doi":"10.2305/QWVH2717","usgsCitation":"Bickford, D., Wogan, G.O., Olson, D., Seshadri, K., Urban, M.C., Carnaval, A., Measey, J., Rowley, J.J., Rovito, S., von May, R., and Walls, S., 2024, Climate change, chap. 3 of Amphibian conservation action plan: A status review and roadmap for global amphibian conservation, p. 52-86, https://doi.org/10.2305/QWVH2717.","productDescription":"35 p.","startPage":"52","endPage":"86","ipdsId":"IP-143427","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":489110,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10261/388430","text":"External Repository"},{"id":433098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-07-08","publicationStatus":"PW","contributors":{"editors":[{"text":"Wren, Sally","contributorId":343610,"corporation":false,"usgs":false,"family":"Wren","given":"Sally","email":"","affiliations":[],"preferred":false,"id":911521,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Borzee, Arnael","contributorId":343611,"corporation":false,"usgs":false,"family":"Borzee","given":"Arnael","email":"","affiliations":[],"preferred":false,"id":911522,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Marcec-Greaves, Ruth","contributorId":343612,"corporation":false,"usgs":false,"family":"Marcec-Greaves","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":911523,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Angulo, Ariadne","contributorId":62528,"corporation":false,"usgs":true,"family":"Angulo","given":"Ariadne","email":"","affiliations":[],"preferred":false,"id":911524,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Bickford, David 0000-0003-1478-3387","orcid":"https://orcid.org/0000-0003-1478-3387","contributorId":329545,"corporation":false,"usgs":false,"family":"Bickford","given":"David","email":"","affiliations":[{"id":78638,"text":"Natural Sciences Division, University of La Verne, California, USA","active":true,"usgs":false}],"preferred":false,"id":911450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wogan, Guinevere O.U.","contributorId":149463,"corporation":false,"usgs":false,"family":"Wogan","given":"Guinevere","email":"","middleInitial":"O.U.","affiliations":[{"id":17743,"text":"Museum of Vertebrate Zoology, UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":911451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olson, Deanna H.","contributorId":338541,"corporation":false,"usgs":false,"family":"Olson","given":"Deanna H.","affiliations":[{"id":81141,"text":"US Department of Agriculture, Forest Service, Pacific Northwest Research Station, Corvallis, Oregon, USA","active":true,"usgs":false}],"preferred":false,"id":911452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seshadri, K.S.","contributorId":343579,"corporation":false,"usgs":false,"family":"Seshadri","given":"K.S.","email":"","affiliations":[{"id":27952,"text":"Indian Institute of Science","active":true,"usgs":false}],"preferred":false,"id":911453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Urban, Mark C.","contributorId":202396,"corporation":false,"usgs":false,"family":"Urban","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":36410,"text":"Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA","active":true,"usgs":false}],"preferred":false,"id":911454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carnaval, Ana","contributorId":343580,"corporation":false,"usgs":false,"family":"Carnaval","given":"Ana","email":"","affiliations":[{"id":38178,"text":"City College of New York","active":true,"usgs":false}],"preferred":false,"id":911455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Measey, John","contributorId":303671,"corporation":false,"usgs":false,"family":"Measey","given":"John","affiliations":[{"id":65872,"text":"Stellenbosch University; 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The recently published World Atlas of Submarine Gas Hydrates in Continental Margins, edited by Mienert et al., provides a remarkably comprehensive global look at gas hydrates in continental margins. Given that approximately 99% of global gas hydrates are thought to exist on continental margins (the rest are in permafrost areas), this atlas covers the vast majority of gas hydrates on the earth. In addition to 37 geographically focused chapters covering essentially every continental margin on the planet (plus the Black Sea and Lake Baikal), the first six chapters review the history of gas-hydrate studies and fundamental considerations. The geographically focused chapters generally present a thorough description of geophysical and geologic observations from that area, written by an author or authors representing many years or decades of expertise there.
","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle43060398.1","usgsCitation":"Haines, S.S., 2024, Reviews: The Leading Edge, v. 43, https://doi.org/10.1190/tle43060398.1.","productDescription":"1 p.","startPage":"398","ipdsId":"IP-158292","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":462541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914757,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}