Myotis septentrionalis (Northern Long-eared Bat) has recently suffered a >90% decline in population size in North America due to white-nose syndrome (WNS). We assessed genetic diversity, population structure, current effective population size, and demographic history of M. septentrionalis distributed across the United States to determine baseline levels pre-WNS. We analyzed RADseq data from 81 individuals from Kentucky, Louisiana, Michigan, Minnesota, North Carolina, Oklahoma, and Wisconsin. Additionally, we examined population genetic structure using discriminant analysis of principal components, fastStructure, and STRUCTURE. We then estimated effective population size and demographic history using fastsimcoal2. Similar levels of genetic diversity were found across all samples. We found no population genetic structure in the varied analyses from these contemporary samples. The best model for demographic history estimated a rapid population expansion followed by a slower expansion approximately 340,000 years ago. The vagility of M. septentrionalis, along with male dispersal and random mating, may provide a buffer against serious bottleneck effects stemming from rapid population declines due to WNS. This research provides a baseline for tracking and monitoring the influence of WNS on genetic diversity such as potential reduced diversity or increased population structuring in the future.
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Together with cryostratigraphy, plant remains and stable isotopes can provide useful information about past permafrost aggradation and thaw. We applied these methods with radiocarbon dating on peat and permafrost cores in the sporadic zone on the Kenai Peninsula, Alaska, to provide a longterm framework for understanding recent thaw and implications for carbon loss.
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(2020) raised questions about possible tag-induced mortality. Similar concerns in other species have generated considerable attention in recent years. Of 19 tagged plovers that departed Moorea on northward migration, only one bird (5 %) uploaded a complete migratory cycle to Argos. Furthermore, contact was lost with 12 birds (63 %) variously during overwater flight, at stopover sites, or on nesting grounds; and no signals at all were received from 6 individuals (32%). Such observations suggest that carrying a tag might be a life-threatening burden. We cannot exclude the possibility that tag weight caused difficulties for the Moorea birds. However, this seems an unlikely factor in that the device (tag plus harness) being carried weighed less than 3 % of body mass (see beyond). Such a load is in accord with generally accepted albeit arbitrary limits. Other tag-associated concerns such as altered aerodynamics, increased vulnerability to predation, and (given the complex nature of geomagnetic navigation, the possibility that tag electronics might interfere with sense of direction, are more difficult to evaluate. Alternatively, loss of contact with tagged birds may be simply a matter of tag malfunction, battery failure, or a broken harness. To shed light on these uncertainties, and to explore the survival of GPS-tagged plovers on a nonbreeding ground in Hawaii, we conducted a controlled study using birds that winter in the National Memorial Cemetery of the Pacific (known locally as the Punchbowl).","language":"English","publisher":"International Wader Study Group","doi":"10.18194/ws.00348","usgsCitation":"Johnson, O.W., Weber, M., Bybee, D.R., Tibbitts, T., Scott, S., Fisher, J., Kuntz, W.A., Spiessberger, S., Southworth, S., Maynard, E., Zoller, L., and Smith, C., 2024, Return rates of GPS-tagged Pacific Golden-Plovers: A controlled study in Hawaii: Wader Study, v. 131, no. 2, p. 152-155, https://doi.org/10.18194/ws.00348.","productDescription":"4 p.","startPage":"152","endPage":"155","ipdsId":"IP-162144","costCenters":[{"id":65299,"text":"Alaska Science Center 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Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":918627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scott, Susan","contributorId":346303,"corporation":false,"usgs":false,"family":"Scott","given":"Susan","email":"","affiliations":[{"id":82826,"text":"Hawaii Audubon Society","active":true,"usgs":false}],"preferred":false,"id":918628,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Joshua","contributorId":269905,"corporation":false,"usgs":false,"family":"Fisher","given":"Joshua","affiliations":[{"id":39807,"text":"NASA Jet Propulsion Lab","active":true,"usgs":false}],"preferred":false,"id":918629,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kuntz, Wendy A.","contributorId":195426,"corporation":false,"usgs":false,"family":"Kuntz","given":"Wendy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":918630,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spiessberger, Susanne","contributorId":346304,"corporation":false,"usgs":false,"family":"Spiessberger","given":"Susanne","email":"","affiliations":[{"id":82826,"text":"Hawaii Audubon Society","active":true,"usgs":false}],"preferred":false,"id":918631,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Southworth, Sigrid","contributorId":346305,"corporation":false,"usgs":false,"family":"Southworth","given":"Sigrid","email":"","affiliations":[],"preferred":false,"id":918632,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maynard, Elizabeth","contributorId":346306,"corporation":false,"usgs":false,"family":"Maynard","given":"Elizabeth","email":"","affiliations":[{"id":82826,"text":"Hawaii Audubon Society","active":true,"usgs":false}],"preferred":false,"id":918633,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zoller, Laura","contributorId":346307,"corporation":false,"usgs":false,"family":"Zoller","given":"Laura","email":"","affiliations":[{"id":82826,"text":"Hawaii Audubon Society","active":true,"usgs":false}],"preferred":false,"id":918634,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smith, Carolyn","contributorId":214478,"corporation":false,"usgs":false,"family":"Smith","given":"Carolyn","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":918635,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70262531,"text":"70262531 - 2024 - Geophysical characterization of mine influenced groundwater and surface water in the Mayflower section of the Animas River, Bonita Peak Mining District, Silverton Colorado","interactions":[],"lastModifiedDate":"2025-01-24T14:59:30.978963","indexId":"70262531","displayToPublicDate":"2024-08-01T08:53:13","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"EPA/600/R-23/340","title":"Geophysical characterization of mine influenced groundwater and surface water in the Mayflower section of the Animas River, Bonita Peak Mining District, Silverton Colorado","docAbstract":"This report details findings from geophysical investigations to identify possible groundwater - surface water interactions near the Mayflower Section of the Animas River in Silverton, Colorado. The Mayflower Section is a mine influenced Superfund Site in Colorado. This investigation utilized electromagnetic induction (EM or EMI), magnetic, and fiber optic distributed temperature system (FODTS) geophysical methods to measure the bulk earth electrical conductivity, magnetic susceptibility, and temperature of specific surveyed volumes of the earth near the Mayflower Section of the Animas River. These physical parameters are used to understand the groundwater – surface water interactions, which can guide decision makers in their assessment of mine-impacted surface water. This report details the results from characterization and monitoring technologies to provide high data density and continuous monitoring of bulk earth electrical conductivity and temperature in the Mayflower section of the Animas River to identify zones of groundwater – surface water interactions and potential metal loading from mine influenced water. The investigation separated right and left bank characterization for each method and indicates more groundwater is entering from the right bank than the left bank and these predominantly right bank discharges potentially contain metal-rich water compared to the left bank. Results also indicate mineral veins facilitate preferential groundwater discharge to the river due to possible jointing, fractures, and permeability differences sometimes occurring along veins relative to host rock. For example, Boulder Gulch is likely groundwater dominated and may be receive water impacted by Mayflower Impoundments #1 and #2. Additionally, the beaver ponds near Blair Gulch may influence groundwater discharge and Mayflower Impoundment #4 is possibly impacting groundwater and surface water and may be connected to the wetlands to the west of the impoundment. These data could be further analyzed for smaller spatial scale analysis within areas of interest. The identification of these locations along sections of the river likely impacted by mine influenced groundwater potentially entering the Animas River and can be used by site investigators, decision makers, and stakeholders in mitigation decisions and strategies.","language":"English","publisher":"U.S. Environmental Protection Agency","collaboration":"U.S. Environmental Protection Agency","usgsCitation":"Werkema, D., Terry, N., and Trottier, B., 2024, Geophysical characterization of mine influenced groundwater and surface water in the Mayflower section of the Animas River, Bonita Peak Mining District, Silverton Colorado, 38 p.","productDescription":"38 p.","ipdsId":"IP-159820","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":480783,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://assessments.epa.gov/risk/document/&deid%3D362424"},{"id":481134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Animas River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.6563034660742,\n 37.80974882626913\n ],\n [\n -107.58602809458,\n 37.80974882626913\n ],\n [\n -107.58602809458,\n 37.85248770149306\n ],\n [\n -107.6563034660742,\n 37.85248770149306\n ],\n [\n -107.6563034660742,\n 37.80974882626913\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Werkema, Dale","contributorId":294506,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":924478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terry, Neil C. 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":924479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trottier, Brett 0000-0002-6148-0875","orcid":"https://orcid.org/0000-0002-6148-0875","contributorId":304452,"corporation":false,"usgs":false,"family":"Trottier","given":"Brett","affiliations":[{"id":66072,"text":"Pittsburgh, PA","active":true,"usgs":false}],"preferred":false,"id":924480,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257278,"text":"70257278 - 2024 - Living with wildfire in Lake Wenatchee, Chelan County, Washington: 2022 Data report","interactions":[],"lastModifiedDate":"2024-08-14T13:56:16.760815","indexId":"70257278","displayToPublicDate":"2024-08-01T08:50:35","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN-103","title":"Living with wildfire in Lake Wenatchee, Chelan County, Washington: 2022 Data report","docAbstract":"Community wildfire readiness includes actions taken by residents, including wildfire risk mitigation at the parcel level and evacuation preparedness. This report presents results from two data collection efforts in the Lake Wenatchee Fire & Rescue service district in Chelan County, Washington: parcel level rapid wildfire risk assessments and household surveys sent to the owners of assessed parcels. Respondents reported that they were moderately aware of the risk of wildfire to their home, were discussing wildfire with their neighbors, and were taking action to reduce risk. There are gaps in respondents’ understanding of wildfire risk that might be addressed through educational outreach. Respondents were supportive of wildfire risk reduction strategies at the community level, including fuel treatments and policy options.
","language":"English","publisher":"USDA Forest Service Rocky Mountain Research Station","doi":"10.2737/RMRS-RN-103","usgsCitation":"Goolsby, J., Champ, P.A., Wittenbrink, S., Donovan, C., King, K., Brenkert-Smith, H., Meldrum, J., Barth, C.M., Wagner, C., and Forrester, C., 2024, Living with wildfire in Lake Wenatchee, Chelan County, Washington: 2022 Data report: Research Note RMRS-RN-103, vi, 130 p., https://doi.org/10.2737/RMRS-RN-103.","productDescription":"vi, 130 p.","ipdsId":"IP-162048","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":432651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","county":"Chelan County","otherGeospatial":"Lake Wenatchee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.99524534788046,\n 47.91597533876984\n ],\n [\n -120.99524534788046,\n 47.73844761896257\n ],\n [\n -120.60585715934415,\n 47.73844761896257\n ],\n [\n -120.60585715934415,\n 47.91597533876984\n ],\n [\n -120.99524534788046,\n 47.91597533876984\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Goolsby, Julia 0000-0002-2229-5685","orcid":"https://orcid.org/0000-0002-2229-5685","contributorId":295471,"corporation":false,"usgs":false,"family":"Goolsby","given":"Julia","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":909825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Champ, Patricia A.","contributorId":195486,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":909826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wittenbrink, Suzanne","contributorId":333353,"corporation":false,"usgs":false,"family":"Wittenbrink","given":"Suzanne","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":909827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donovan, Colleen","contributorId":240586,"corporation":false,"usgs":false,"family":"Donovan","given":"Colleen","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":909828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Kris","contributorId":342230,"corporation":false,"usgs":false,"family":"King","given":"Kris","email":"","affiliations":[{"id":81845,"text":"Lake Wenatchee Fire & Rescue","active":true,"usgs":false}],"preferred":false,"id":909829,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":909830,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909831,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barth, Christopher M.","contributorId":195487,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":909832,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":909833,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Forrester, Chiara","contributorId":328660,"corporation":false,"usgs":false,"family":"Forrester","given":"Chiara","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":909834,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70261291,"text":"70261291 - 2024 - Larval coregonine density and diet composition along beaches of northern Lake Michigan","interactions":[],"lastModifiedDate":"2024-12-05T15:25:30.922575","indexId":"70261291","displayToPublicDate":"2024-08-01T08:18:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Larval coregonine density and diet composition along beaches of northern Lake Michigan","docAbstract":"Recent oligotrophication in Lake Michigan has contributed to reduced biomass of spring zooplankton and a shift in the zooplankton assemblage toward more calanoid copepods. These changes have likely altered prey availability for first feeding native fish species that hatch in early spring, including coregonines. While spring zooplankton density and community composition are routinely monitored in offshore areas of Lake Michigan, descriptions of zooplankton in nearshore areas such as shallow beach environments and associated diet characteristics among larval coregonine species are limited. In this study, we describe the nearshore (<1 m depth, beach environment) zooplankton community in northeastern Lake Michigan during early spring 2015-2019 and compare the diets and diet selectivity of larval Lake Whitefish (Coregonus clupeaformis) and Cisco (C. artedi). Zooplankton density and composition varied among years, but calanoid copepods and copepod nauplii consistently dominated the zooplankton assemblage. Cisco and Lake Whitefish larvae were captured regularly, with Elk Rapids containing the highest proportion of Ciscoes each year. Calanoid and cyclopoid copepods were common in diets and estimated to have a positive selection. Although previous research has indicated high consumption of cyclopoid copepods by larval coregonines in Lake Michigan, our results provide new evidence that larval Lake Whitefish and Cisco of northeastern Lake Michigan will also consume and positively select for calanoid copepods when they are abundant. As such, should calanoid zooplankton continue to dominate the copepod community in Lake Michigan, larval coregonines appear capable of exploiting this abundant prey to improve their likelihood of survival to later life stages.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102380","usgsCitation":"Cubbage, M., Hook, T.O., Bunnell, D., Dieter, P., Ackiss, A.S., and Collingsworth, P.D., 2024, Larval coregonine density and diet composition along beaches of northern Lake Michigan: Journal of Great Lakes Research, v. 50, no. 4, 102380, 11 p., https://doi.org/10.1016/j.jglr.2024.102380.","productDescription":"102380, 11 p.","ipdsId":"IP-158559","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":464805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Big Stone Bay, Bliss Beach, Elk Rapids, Petoskey State Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.43058826188877,\n 46.201622653234466\n ],\n [\n -87.43058826188877,\n 44.2450026872275\n ],\n [\n -84.961712626925,\n 44.2450026872275\n ],\n [\n -84.961712626925,\n 46.201622653234466\n ],\n [\n -87.43058826188877,\n 46.201622653234466\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cubbage, Marissa","contributorId":346932,"corporation":false,"usgs":false,"family":"Cubbage","given":"Marissa","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":920256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hook, Tomas O.","contributorId":150480,"corporation":false,"usgs":false,"family":"Hook","given":"Tomas","email":"","middleInitial":"O.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":920257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunnell, David 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":217344,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":920258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dieter, Patricia M. 0000-0003-1686-2679","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":217345,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":920259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackiss, Amanda Susanne 0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":920260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collingsworth, Paris D.","contributorId":145526,"corporation":false,"usgs":false,"family":"Collingsworth","given":"Paris","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":920261,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70258732,"text":"70258732 - 2024 - Guidelines for using the Climate Change Vulnerability Index 2024 release 4.0","interactions":[],"lastModifiedDate":"2024-09-25T13:20:17.114408","indexId":"70258732","displayToPublicDate":"2024-08-01T08:17:48","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Guidelines for using the Climate Change Vulnerability Index 2024 release 4.0","docAbstract":"No abstract available.
","language":"English","publisher":"NatureServe","usgsCitation":"Lyons, M.P., Stevenson, J.R., Thurman, L., and Young, B., 2024, Guidelines for using the Climate Change Vulnerability Index 2024 release 4.0, 51 p.","productDescription":"51 p.","ipdsId":"IP-169498","costCenters":[{"id":49226,"text":"Northwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":462230,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.natureserve.org/ccvi-species","linkFileType":{"id":5,"text":"html"}},{"id":462242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lyons, Marta P. 0000-0002-8117-8710 mlyons@usgs.gov","orcid":"https://orcid.org/0000-0002-8117-8710","contributorId":270223,"corporation":false,"usgs":true,"family":"Lyons","given":"Marta","email":"mlyons@usgs.gov","middleInitial":"P.","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":913914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevenson, John Raymond 0009-0006-6439-4637","orcid":"https://orcid.org/0009-0006-6439-4637","contributorId":344507,"corporation":false,"usgs":true,"family":"Stevenson","given":"John","email":"","middleInitial":"Raymond","affiliations":[{"id":49226,"text":"Northwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":913916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thurman, Lindsey 0000-0003-3142-4909","orcid":"https://orcid.org/0000-0003-3142-4909","contributorId":269425,"corporation":false,"usgs":true,"family":"Thurman","given":"Lindsey","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":913913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Bruce","contributorId":344506,"corporation":false,"usgs":false,"family":"Young","given":"Bruce","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":913915,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70257176,"text":"70257176 - 2024 - Bottom trawl assessment of Lake Ontario's benthic preyfish community, 2023","interactions":[],"lastModifiedDate":"2024-08-13T12:25:12.725548","indexId":"70257176","displayToPublicDate":"2024-08-01T07:21:32","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Bottom trawl assessment of Lake Ontario's benthic preyfish community, 2023","docAbstract":"Since 1978, surveys of Lake Ontario preyfish communities have provided information on the status and trends of the benthic preyfish community related to Fish Community Objectives that includes understanding preyfish population dynamics and community diversity. Beginning in 2015, the benthic preyfish survey expanded from US-only to incorporate Canadian sites, increasing the survey’s spatial coverage to a lake-wide scale. Additionally, sampling in eastern US embayments (Black River, Chaumont, Guffin, and Henderson Bays), that were historically sampled during a September bottom trawl survey to index Yellow Perch (Perca flavescens; 1978–2007), resumed in 2015. The current survey provides abundance indices for sculpins, Round Goby (Neogobius melanostomus) and Bloater (Coregonus hoyi) with survey techniques, gear and timing comparable to Lake Michigan. This alignment provides a necessary biological reference point for measuring the success of Lake Ontario Bloater reintroduction. In 2023, the collaborative benthic preyfish survey completed 188 bottom trawl tows across main lake and embayment sites at depths from 6 to 249 m. In total, the 2023 survey sampled 85,801 fish from 38 species. Round Goby was the most common species comprising 43% of the total catch, followed by Deepwater Sculpin (Myoxocephalus thompsonii), and Alewife (Alosa pseudoharengus) at 22% and 13%, respectively. Slimy Sculpin (Cottus cognatus) lake-wide biomass density (0.06 kg/ha) remained low relative to historical observations from US waters during the 1980-1990s and was orders of magnitude lower in US than Canadian waters. Lake-wide Deepwater Sculpin biomass density remains high since the population recovery (4.1 kg/ha). Embayment catches continue to have unique species assemblages compared to main lake habitat. Historically common native benthic preyfish species like Trout-perch (Percopsis omiscomaycus), Spottail Shiner (Notropis hudsonius), and darters (Etheostoma spp.), that are now rare at main lake trawl sites, still occur in some embayment trawl sites.","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"O’Malley, B., Minihkeim, S.P., Mitchinson, O.M., Stahl, S.D., Goretzke, J.A., and Holden, J.P., 2024, Bottom trawl assessment of Lake Ontario's benthic preyfish community, 2023, 14 p.","productDescription":"14 p.","ipdsId":"IP-163567","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":432594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":432593,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/publication-media-search.php"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.57887370293341,\n 42.975619501114664\n ],\n [\n -75.22853190605852,\n 42.975619501114664\n ],\n [\n -75.22853190605852,\n 44.71854185068483\n ],\n [\n -80.57887370293341,\n 44.71854185068483\n ],\n [\n -80.57887370293341,\n 42.975619501114664\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"O’Malley, Brian 0000-0001-5035-3080 bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":909660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minihkeim, Scott P. 0000-0003-4958-2462","orcid":"https://orcid.org/0000-0003-4958-2462","contributorId":265808,"corporation":false,"usgs":true,"family":"Minihkeim","given":"Scott","email":"","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":909661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchinson, Olivia Margaret 0009-0002-7999-1160","orcid":"https://orcid.org/0009-0002-7999-1160","contributorId":339869,"corporation":false,"usgs":true,"family":"Mitchinson","given":"Olivia","email":"","middleInitial":"Margaret","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":909662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stahl, Scott David 0009-0002-0248-4523","orcid":"https://orcid.org/0009-0002-0248-4523","contributorId":339870,"corporation":false,"usgs":true,"family":"Stahl","given":"Scott","email":"","middleInitial":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":909663,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goretzke, Jessica A 0000-0003-2504-3712","orcid":"https://orcid.org/0000-0003-2504-3712","contributorId":302058,"corporation":false,"usgs":false,"family":"Goretzke","given":"Jessica","email":"","middleInitial":"A","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":909664,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holden, Jeremy P.","contributorId":251689,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","email":"","middleInitial":"P.","affiliations":[{"id":50374,"text":"Ontario Ministry of Natural Resources and Forests (OMNRF)","active":true,"usgs":false}],"preferred":false,"id":909665,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70256402,"text":"ofr20241049 - 2024 - Methods for computing water-quality concentrations and loads at sites operated by the U.S. Geological Survey Kansas Water Science Center","interactions":[],"lastModifiedDate":"2024-08-01T13:51:09.369775","indexId":"ofr20241049","displayToPublicDate":"2024-08-01T07:14:10","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1049","displayTitle":"Methods for Computing Water-Quality Concentrations and Loads at Sites Operated by the U.S. Geological Survey Kansas Water Science Center","title":"Methods for computing water-quality concentrations and loads at sites operated by the U.S. Geological Survey Kansas Water Science Center","docAbstract":"The U.S. Geological Survey (USGS) Kansas Water Science Center (KSWSC) has published time-series computations of water-quality concentrations and loads based on in situ sensor data since 1995. Water-quality constituent concentrations or densities are computed using regression models that relate in situ sensor values to laboratory analyses of periodically collected samples. These regression models currently (2024) follow no uniform published guidance and are individually documented through USGS reports. This report describes updated (2024) procedures designed to improve the consistency, quality, and timeliness of computed continuous water-quality data produced by the USGS KSWSC. Beginning in 2024, models developed by the USGS KSWSC that follow specific procedures and requirements related to sample collection, model fit, and model documentation outlined in this report are planned to be published and stored in the USGS National Real-Time Water Quality Data for the Nation Data Service. This report also describes USGS KSWSC procedures for evaluating and publishing time-series water-quality computations after initial model development and documentation. This guidance can be used to improve USGS KSWSC model development and data computation consistency and streamline the time-series water-quality computation process from model development to publication.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241049","usgsCitation":"Stone, M.L., Lee, C.J., Rasmussen, T.J., Williams, T.J., Kramer, A.R., and Klager, B.J., 2024, Methods for computing water-quality concentrations and loads at sites operated by the U.S. Geological Survey Kansas Water Science Center: U.S. Geological Survey Open-File Report 2024–1049, 10 p., https://doi.org/10.3133/ofr20241049.","productDescription":"Report: iii, 10 p.; 2 Appendixes","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-160483","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":431715,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1049/coverthb.jpg"},{"id":431716,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1049/ofr20241049.pdf","text":"Report","size":"628 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1049"},{"id":431717,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1049/ofr20241049.XML"},{"id":431718,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1049/images/"},{"id":431720,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241049/full"},{"id":431719,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2024/1049/downloads/","text":"Appendixes 1 and 2"}],"contact":"Director, Kansas Water Science Center
U.S. Geological Survey
1217 Biltmore Drive
Lawrence, KS 66049
Climate change is having a disproportionate impact on the Arctic. For Arctic breeding birds, basic knowledge of their annual cycle, specifically the timing, route, and movement behavior of migration, is needed to understand when and where populations may experience threats. We used a combination of geolocators and stable isotope analysis to identify route and timing of migration in Smith’s Longspurs (Calcarius pictus) that breed in Alaska’s Brooks Range. We trapped males on their breeding grounds from 2011 to 2014 and collected head feathers for stable isotopes of hydrogen (δ²H). We deployed 22 geolocators on a subset of individuals and retrieved four, which all overwintered in southern Texas. Individual start dates for fall migration based on geolocators were more variable than for the spring, and individuals were highly mobile while on their wintering grounds. Geolocators and stable isotope values were comparable across years and indicated that birds from the Brooks Range undergo their pre-nuptial molt in central Canada. We compared geolocator and stable isotope inferred locations to observations submitted to e-Bird and found that longspurs were distributed farther south during the winter months, but farther north during the spring than most eBird observations. Concurrent deployments of geolocator tags across Smith’s Longspurs’ breeding range would clarify whether migratory behaviors and routes are population-specific or shared widely across breeding locations.
","language":"English","publisher":"American Conservation and Ecology","doi":"10.5751/ACE-02629-190113","usgsCitation":"Will, A., McFarland, H., Latty, C., and Powell, A., 2024, Geolocators, stable isotopes, and citizen science identify migratory timing, route, and spring molt of Smith’s Longspurs: Avian Conservation and Ecology, v. 19, no. 1, 13, 8 p., https://doi.org/10.5751/ACE-02629-190113.","productDescription":"13, 8 p.","ipdsId":"IP-156425","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439236,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.5751/ace-02629-190113","text":"Publisher Index Page"},{"id":433055,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Will, Alexis","contributorId":341227,"corporation":false,"usgs":false,"family":"Will","given":"Alexis","affiliations":[{"id":7097,"text":"University of Alaska-Fairbanks","active":true,"usgs":false}],"preferred":false,"id":908111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McFarland, Heather","contributorId":341228,"corporation":false,"usgs":false,"family":"McFarland","given":"Heather","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":908112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Latty, Christopher","contributorId":341229,"corporation":false,"usgs":false,"family":"Latty","given":"Christopher","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":908113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Abby 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":176843,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":908114,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267204,"text":"70267204 - 2024 - Boom and bust: The effects of masting on seed predator range dynamics and trophic cascades","interactions":[],"lastModifiedDate":"2025-05-16T15:59:30.509122","indexId":"70267204","displayToPublicDate":"2024-08-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Boom and bust: The effects of masting on seed predator range dynamics and trophic cascades","docAbstract":"AimSpatiotemporal variation in resource availability is a strong driver of animal distributions. In the northern hardwood and boreal forests of the northeastern United States, tree mast events provide resource pulses that drive the population dynamics of small mammals, including the American red squirrel (Tamiasciurus hudsonicus), a primary songbird nest predator. This study sought to determine whether mast availability ameliorates their abiotic limits, enabling red squirrel elevational distributions to temporarily expand and negatively impact high-elevation songbirds.
Location
Northeastern United States.
Methods
We used two independent datasets to evaluate our hypotheses. First, we fit a dynamic occupancy model using data from camera trap surveys to evaluate red squirrel distributional responses to pulses in the tree mast. We also assessed population responses using systematic auditory surveys analysed with an open-population binomial mixture model. Further, we used modelled red squirrel abundance in nest-survival models to evaluate whether their abundance is correlated with the daily nest survival of three songbird species.
Results
The tree mast provided a critical resource pulse that resulted in a two-fold increase in the annual elevational distribution of red squirrels. The elevational distribution of red squirrels ranged from a minimum of ~450 m (range: 663–1145 m asl) following two consecutive years without a masting event to a maximum of over 1000 m (range: 443–1545 m asl) after a large mast event. The daily nest survival of three songbird species tended to decline with an increase in the abundance of red squirrels.
Main Conclusions
Tree mast is a central biological phenomenon in many temperate and boreal forests. This study reveals how this resource pulse results in range changes in a small mammal that is both a seed and bird predator, as well as prey for many carnivores. Thus, understanding this phenomenon can inform the conservation and management of northern forests, including breeding songbirds.
","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13861","usgsCitation":"Hallworth, M.T., Sirén, A., DeLuca, W., Duclos, T., McFarland, K.P., Hill, J.M., Rimmer, C.C., and Morelli, T.L., 2024, Boom and bust: The effects of masting on seed predator range dynamics and trophic cascades: Diversity and Distributions, v. 30, no. 8, e13861, 13 p., https://doi.org/10.1111/ddi.13861.","productDescription":"e13861, 13 p.","ipdsId":"IP-129255","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":489019,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13861","text":"Publisher Index Page"},{"id":486083,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island, Vermont","otherGeospatial":"northeastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.10575084649285,\n 43.37093588190811\n ],\n [\n -79.75309493274816,\n 41.99258454725708\n ],\n [\n -75.45135133469833,\n 42.005404340434055\n ],\n [\n -74.94884725348038,\n 41.60054495898998\n ],\n [\n -74.90966943261284,\n 40.41115406110167\n ],\n [\n -69.50442652451818,\n 41.140541678401235\n ],\n [\n -70.21215396984903,\n 43.20792379414405\n ],\n [\n -66.98409511373686,\n 44.634391727144134\n ],\n [\n -67.64757065599491,\n 47.18695334041415\n ],\n [\n -68.97147672811981,\n 47.48919160963973\n ],\n [\n -71.61820175777069,\n 45.07428624184727\n ],\n [\n -74.6889940707864,\n 45.17423846474814\n ],\n [\n -79.10575084649285,\n 43.37093588190811\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"30","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Hallworth, Michael T.","contributorId":213805,"corporation":false,"usgs":false,"family":"Hallworth","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":38879,"text":"National Zoological Park, Migratory Bird Center","active":true,"usgs":false}],"preferred":false,"id":937261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sirén, Alexej","contributorId":300102,"corporation":false,"usgs":false,"family":"Sirén","given":"Alexej","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":937262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeLuca, William","contributorId":192836,"corporation":false,"usgs":false,"family":"DeLuca","given":"William","affiliations":[],"preferred":false,"id":937263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duclos, Timothy","contributorId":236781,"corporation":false,"usgs":false,"family":"Duclos","given":"Timothy","email":"","affiliations":[{"id":41510,"text":"Department of Environmental Conservation, University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":937264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McFarland, Kent P.","contributorId":213789,"corporation":false,"usgs":false,"family":"McFarland","given":"Kent","email":"","middleInitial":"P.","affiliations":[{"id":38867,"text":"Vermont Center for Ecostudies","active":true,"usgs":false}],"preferred":false,"id":937265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hill, Jason M.","contributorId":191616,"corporation":false,"usgs":false,"family":"Hill","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":937266,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rimmer, Christopher C.","contributorId":213817,"corporation":false,"usgs":false,"family":"Rimmer","given":"Christopher","email":"","middleInitial":"C.","affiliations":[{"id":38867,"text":"Vermont Center for Ecostudies","active":true,"usgs":false}],"preferred":false,"id":937267,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":937268,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70256401,"text":"ofr20241038 - 2024 - Identifying transportation data and system needs for a Federal lands transportation data platform","interactions":[],"lastModifiedDate":"2024-08-01T13:46:37.3606","indexId":"ofr20241038","displayToPublicDate":"2024-07-31T13:10:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1038","displayTitle":"Identifying Transportation Data and System Needs for a Federal Lands Transportation Data Platform","title":"Identifying transportation data and system needs for a Federal lands transportation data platform","docAbstract":"Modern transportation and land-use planning efforts include information from many sources to address topics such as safety, efficiency, commercial, and social needs. This wide breadth of topics provides opportunities for collaboration and development of common tools for diverse users. In many cases, different information systems provide the spatial data and geographic content necessary for transportation and land-use planners to consider multiple lines of evidence. The Federal Highway Administration Office of Federal Lands Highway (FLH) and Federal Land Management Agency partners use detailed spatial and quantitative data to inform transportation decisions. However, logistic challenges to data sharing exist because data are often managed by separate agencies; data-exchange frameworks and interagency data agreements are insufficient; and consistency from aggregated data requires maintenance, coordination, and supporting infrastructure.
The FLH and U.S. Geological Survey collaboratively examined (1) use and availability of spatial data for transportation planning and (2) a possible mechanism to use more shared and consistent data in a common planning environment. The goals of this collaborative effort were to describe data needs from the perspective of planners and to identify opportunities for shared data resources. Results presented here focus on two workshops and a subsequent investigation of data and tools available from partner agencies. The objectives of this report are to (1) describe information used in transportation planning with geographic data; (2) identify spatially explicit data that inform transportation plans and could be shared among all partners; and (3) describe current platforms, planning and administrative opportunities, and potential barriers to developing an integrated planning tool.
Key information and data needs were identified in three major classes: system, user, and influential factors. System data are parts of the transportation network and information about the condition of individual segments and the network. User data provide details about the function of the system and insights into potential needs; for example, user trips between source and destinations inform road and network demands that can lead to congestion and safety issues (in the future, user data might also include scenarios and projections based on land-use plans). Influential data represent social and environmental factors that influence transit demands and network conditions. These factors could be popular locations or seasonal events that influence demand and congestion; wildlife habitat or migration intersections that affect safety and management priorities; or geologic features that influence hazards, maintenance, and safety. Responses described here provide specific information for web-tool design and give a framework for interagency communication and cooperation to address specific information needs for integrated planning. Existing web-mapping and web-services, and the data that inform them, are also described. Commonly, these data are created and published by one agency, and the core users are outside of that agency; for example, threatened species distributions are published by the U.S. Fish and Wildlife Service for consideration by planners in advance of National Environmental Policy Act (42 U.S.C. 4321 et seq.) evaluation.
This report is provided to inform FLH leaders and Federal Land Management Agency partners by articulating user needs and requirements for integrated planning tool(s). Programmers creating a secure web-based data-sharing platform (with data-viewing, -analysis and -download functions) can use the information presented here to organize data and user interfaces. This integrated perspective can help FLH and Federal Land Management Agency partners develop transportation networks that better serve the needs of people in local communities and across States and the Nation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20241038","collaboration":"Prepared in cooperation with the Federal Highway Administration, Federal Lands Highway Divisions","programNote":"Climate Adaptation Science Center & Land Change Science","usgsCitation":"Manier, D., Grisham, N., Armstrong, A., Henley, E., Doolittle, J., and Inman, R., 2024, Identifying transportation data and system needs for a Federal lands transportation data platform: U.S. Geological Survey Open-File Report 2024–1038, 37 p., https://doi.org/10.3133/ofr20241038.","productDescription":"vi, 37 p.","onlineOnly":"Y","ipdsId":"IP-153797","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":431727,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1038/ofr20241038.xml"},{"id":431726,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1038/images"},{"id":431683,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1038/ofr20241038.pdf","text":"Report","size":"1.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1038"},{"id":431682,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1038/coverthb.jpg"},{"id":431765,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241038/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1038"}],"contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional and continuous resources of 294 million barrels of oil and 11 trillion cubic feet of gas in the Lewis Shale in the Southwestern Wyoming Province, Wyoming and Colorado.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20243025","programNote":"National and Global Petroleum Assessment","usgsCitation":"Hearon, J.S., Schenk, C.J., Finn, T.M., Johnson, B.G., Gelman, S.E., Lagesse, J.H., Woodall, C.A., Mercier, T.J., Leathers-Miller, H.M., Timm, K.K., Drake, R.M., II, Cicero, A.D., Ellis, G.S., Gardner, M.H., Le, P.A., and Young, S.S., 2024, Assessment of conventional and continuous oil and gas resources in the Lewis Shale in the Southwestern Wyoming Province, Wyoming and Colorado, 2023: U.S. Geological Survey Fact Sheet 2024–3025, 4 p., https://doi.org/10.3133/fs20243025.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-156214","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":499124,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117152.htm","linkFileType":{"id":5,"text":"html"}},{"id":431685,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GKOC1H","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Southwestern Wyoming Province, Lewis Shale Conventional and Continuous Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":432058,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243025/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2024-3025"},{"id":431714,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3025/fs20243025.xml"},{"id":431713,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3025/images"},{"id":431564,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3025/coverthb.jpg"},{"id":431565,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3025/fs20243025.pdf","text":"Report","size":"1.57 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3025"}],"country":"United States","state":"Colorado, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.110109591859,\n 43.583826926723475\n ],\n [\n -111.110109591859,\n 38.99367488199283\n ],\n [\n -104.92597619921499,\n 38.99367488199283\n ],\n [\n -104.92597619921499,\n 43.583826926723475\n ],\n [\n -111.110109591859,\n 43.583826926723475\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
We compared elevation trajectories from 14 rod surface elevation table (RSET) stations and 60 real-time kinematic (RTK) global positioning system (GPS) transects within the Blackwater National Wildlife Refuge (BNWR) from 2010–2013. The results were similar, 7.3 ± 0.9 (mean ± standard error; RSET) versus 6.2 ± 0.6 mm year−1 (RTK) (P = 0.216), and were greater than relative sea level rise (RSLR) computed at the nearest long-term tide station (3.9 ± 0.29 mm year−1). Despite having shown elevation gain, these wetlands continue to drown and convert to open water. Episodic, multi-day GPS measurements on geodetic control marks at BNWR between 2005 and 2023 revealed a substantial vertical land motion (VLM) signal. From 2005 to 2015, three reference marks used to control the 2010–2013 RTK study lost on average 6.0 ± 0.7 mm year−1, corresponding to 80% and 94% of the elevation gain measured by the RSET and RTK techniques, respectively. The longer 18-year subsidence trend measured on one of these marks was lower, 3.9 ± 0.7 mm year−1, highlighting important interannual variability. Wetland elevation change measurements need to account for VLM occurring below the reference marks used to measure elevation change. Estimates from the nearest long-term tide station may not be applicable to the wetland if the tide station is in a different geological setting. At BNWR, VLM was higher than the VLM at the Cambridge tide station, which helps explain why wetlands at BNWR are not keeping pace with RSLR despite the measured high rates of elevation gain.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-024-01406-y","usgsCitation":"Hensel, P., Cahoon, D., Guntenspergen, G.R., Mitchell, L.G., Whitbeck, M., and Scott, G., 2024, Incorporating measurements of vertical land motion in wetland surface elevation change analyses: Estuaries and Coasts, v. 47, p. 2094-2105, https://doi.org/10.1007/s12237-024-01406-y.","productDescription":"12 p.","startPage":"2094","endPage":"2105","ipdsId":"IP-156627","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":481759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Blackwater National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.22736128311278,\n 38.483803584358895\n ],\n [\n -76.22736128311278,\n 38.3793129820732\n ],\n [\n -76.0029285676572,\n 38.3793129820732\n ],\n [\n -76.0029285676572,\n 38.483803584358895\n ],\n [\n -76.22736128311278,\n 38.483803584358895\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2024-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Hensel, P.","contributorId":350602,"corporation":false,"usgs":false,"family":"Hensel","given":"P.","affiliations":[{"id":34670,"text":"NOAA National Geodetic Survey","active":true,"usgs":false}],"preferred":false,"id":926401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":219657,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":926403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, L. G.","contributorId":102978,"corporation":false,"usgs":true,"family":"Mitchell","given":"L.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":926404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitbeck, M.","contributorId":24976,"corporation":false,"usgs":false,"family":"Whitbeck","given":"M.","email":"","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":926405,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, Galen","contributorId":350603,"corporation":false,"usgs":false,"family":"Scott","given":"Galen","affiliations":[{"id":34670,"text":"NOAA National Geodetic Survey","active":true,"usgs":false}],"preferred":false,"id":926406,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263393,"text":"70263393 - 2024 - The new self-anchored suspension (SAS) San Francisco Bay Bridge- Its response to a small earthquake","interactions":[],"lastModifiedDate":"2026-03-17T15:52:04.717151","indexId":"70263393","displayToPublicDate":"2024-07-31T10:48:36","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The new self-anchored suspension (SAS) San Francisco Bay Bridge- Its response to a small earthquake","docAbstract":"This paper presents a summary of previously published work (Celebi 2023) related to the new Self-Anchored Suspension (SAS) bridge that went into service within the last decade as a replacement for the older truss bridge spanning between Yerba Buena Island and Oakland, California, within the San Francisco Bay Area. During the October 19, 1989 M6.9 Loma Prieta earthquake, which occurred ~100 km south of the Bay Bridge, a section of the upper deck of the truss bridge fell onto the lower deck – thus closing this important lifeline between San Francisco and Oakland. The SAS is unique, self-anchored, and suspended by a single tower that is pivotal in trafficking the cable and hanger system to support the decks. The SAS bridge is extensively instrumented by the California Geological Survey’s Strong Motion Instrumentation Program (CSMIP). There are approximately 85 channels of accelerometers in the seismic monitoring system that recorded the October 14, 2019 Mw4.6 Pleasant Hill earthquake. The data allow a complex but identifiable coupled response of the deck, tower, and cable system. Both acceleration and displacement time-history data are used to extract significant frequencies using system identification methods, including spectral analyses. Results are compared to those from finite-element-model (FEM) analyses carried out during the design and analysis process of the bridge in 2002 (Nader et al. 2002). There are differences between FEM analyses results and those from the low amplitude shaking caused by a seismic event. An apparent frequency (period) of the SAS bridge is assessed (approximately 5.2 seconds). In a plot of deck length versus period, there is an almost linear relationship with periods of other regular suspension bridges, such as the Golden Gate Bridge and the Carquinez Bridge, both in the San Francisco Bay.
Throughout Hawai'i, fishponds are considered by their local communities as important cultural touchstones, a source of local, sustainably produced food, and an important component to the development of community-based management for nearshore fisheries. Within Kaloko-Honokōhau National Historical Park, the restoration of Kaloko Fishpond for traditional aquaculture management is a goal of both the National Park Service (NPS) and Hui Kaloko-Honokōhau, a community-based group of kia'i, i.e., caretakers and native Hawaiian cultural practitioners. However, existing data on the demographics and condition of the fish populations within the pond, and the fish-habitat quality are poor to non-existent. Therefore, the objectives of this study were to: catalog fish species composition and distribution in the pond; estimate the abundance of focal species/taxonomic groups; and evaluate the occupancy patterns of the invasive algae Acanthophora spicifera and Upside-down Jellyfish Cassiopea andromeda. As part of these objectives, a survey protocol and analysis framework were designed and evaluated to ensure that the NPS and community group would be able to refine and implement them to continue their monitoring efforts. We conducted dual-observer shore-based visual surveys multiple times per week during September-October 2020 and April-September 2022. A total of 41 species/taxonomic groups were recorded over the course of the surveys. The largest number of species/taxonomic groups were observed at survey stations located on or near the kuapā, or wall separating the fishpond from the ocean. N-mixture models fitted to the data estimated a total population of 353 – 392 mullets, 134 – 192 flagtails (āholehole), and 189 – 277 Milkfish (Awa) Chanos chanos occurring within the 1.2-ha portion of Kaloko Fishpond that could be surveyed visually from the shoreline. Multi-season occupancy models fitted to the surveyed presence of A. spicifera and Upside-down Jellyfish indicted sites throughout most of the pond exhibited moderate and consistent occupancy (ψ = 0.30 – 0.40) throughout much of the pond, except for the northeast corner of the pond (Kaloko Iki) where colonization rates were lower and extinction rates higher than other areas within Kaloko. The visual survey method developed for this study provides a low-cost and effective starting point for the development of methodology that can be used both by NPS personnel and volunteers from the community group. However, we were only able to estimate fish populations for approximately 24% of the area of Kaloko Fishpond with this method. Given that the deeper areas of Kaloko Fishpond are completely inaccessible to the visual survey method used, generating population estimates for the entire pond based on the parameters estimated in the current study is not recommended without further investigation into fish movement and habitat use. Various means to refine this protocol to better meet the needs and abilities of the NPS and community group are proposed.
","language":"English","publisher":"University of Hawai'i","usgsCitation":"Grabowski, T.B., Tabandera, R., Greenwald, N., and Larson, A., 2024, Assessing habitat use and population dynamics of fisheries resources at Kaloko Fishpond: Hawai’i Cooperative Fishery Research Unit Technical Report Series HCFRU-003, 80 p.","productDescription":"80 p.","ipdsId":"IP-154335","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":494691,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/43639","linkFileType":{"id":5,"text":"html"}},{"id":494905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kalako Fishpond","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.03516036623958,\n 19.68986132494203\n ],\n [\n -156.03516036623958,\n 19.686419593600434\n ],\n [\n -156.0305731643826,\n 19.686419593600434\n ],\n [\n -156.0305731643826,\n 19.68986132494203\n ],\n [\n -156.03516036623958,\n 19.68986132494203\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":947091,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tabandera, Ricky","contributorId":360473,"corporation":false,"usgs":false,"family":"Tabandera","given":"Ricky","affiliations":[{"id":64379,"text":"University of Hawai'i at Hilo","active":true,"usgs":false}],"preferred":false,"id":947092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greenwald, Nathaniel","contributorId":360476,"corporation":false,"usgs":false,"family":"Greenwald","given":"Nathaniel","affiliations":[{"id":64379,"text":"University of Hawai'i at Hilo","active":true,"usgs":false}],"preferred":false,"id":947093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, Annie","contributorId":360479,"corporation":false,"usgs":false,"family":"Larson","given":"Annie","affiliations":[{"id":64379,"text":"University of Hawai'i at Hilo","active":true,"usgs":false}],"preferred":false,"id":947094,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70257836,"text":"70257836 - 2024 - USGS adds 100K Topo scale to OnDemand map products","interactions":[],"lastModifiedDate":"2024-10-24T15:21:44.00328","indexId":"70257836","displayToPublicDate":"2024-07-31T10:19:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18355,"text":"GIS Tips & Tricks","active":true,"publicationSubtype":{"id":10}},"title":"USGS adds 100K Topo scale to OnDemand map products","docAbstract":"OnDemand Topo map users now have more map scale options available to them with debut of the 100K Topo or 1:100,000-scale mapping capability within the free topoBuilder application.","language":"English","publisher":"ASPRS","usgsCitation":"Doumbouya, A.T., 2024, USGS adds 100K Topo scale to OnDemand map products: GIS Tips & Tricks, no. July 2024, p. 389-390.","productDescription":"2 p.","startPage":"389","endPage":"390","ipdsId":"IP-164891","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":433239,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/asprs-publications/gis-tips-tricks"},{"id":463156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"July 2024","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Doumbouya, Ariel T. 0000-0002-4794-6077 atdoumbouya@usgs.gov","orcid":"https://orcid.org/0000-0002-4794-6077","contributorId":343705,"corporation":false,"usgs":true,"family":"Doumbouya","given":"Ariel","email":"atdoumbouya@usgs.gov","middleInitial":"T.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":911760,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70259309,"text":"70259309 - 2024 - Toward a set of essential biodiversity variables for assessing change in mountains globally","interactions":[],"lastModifiedDate":"2024-10-03T15:23:00.803017","indexId":"70259309","displayToPublicDate":"2024-07-31T10:14:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Toward a set of essential biodiversity variables for assessing change in mountains globally","docAbstract":"Mountain regions harbor unique and rich biodiversity, forming an important part of our global life support system. This rich biodiversity underpins the ecological intactness and functioning of mountain ecosystems, which are imperative for the provision of key ecosystem services. A considerable amount of data are required to assess ecological intactness and ecosystem functioning and, given the profound anthropogenic pressures many mountain regions are being subjected to, are urgently needed. However, data on mountain biodiversity remain lacking. The essential biodiversity variables (EBVs) framework can help focus efforts related to detecting, investigating, predicting, and managing global biodiversity change, but has not yet been considered in the context of mountains. Here, we review key biological processes and physical phenomena that strongly influence mountain biodiversity and ecosystems and elucidate their associations with potential mountain EBVs. We identify seven EBVs of highest relevance for tracking and understanding the most critical drivers and responses of mountain biodiversity change. If they are implemented, the selected EBVs will contribute useful information to inform management and policy interventions seeking to halt mountain biodiversity loss and maintain functional mountain ecosystems.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biae052","usgsCitation":"Schmeller, D., Thornton, J., Urbach, D., Alexander, J., Jetz, W., Kulonen, A., Mills, R., Notornicola, C., Pallazi, E., Pauli, H., Randin, C., Rosbakh, S., Sayre, R., Tehrani, N., Verbiest, W., Walker, T., Wipf, S., and Adler, C., 2024, Toward a set of essential biodiversity variables for assessing change in mountains globally: BioScience, v. 74, no. 8, p. 539-551, https://doi.org/10.1093/biosci/biae052.","productDescription":"13 p.","startPage":"539","endPage":"551","ipdsId":"IP-161747","costCenters":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":466973,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1093/biosci/biae052","text":"External 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Elisa","contributorId":344852,"corporation":false,"usgs":false,"family":"Pallazi","given":"Elisa","email":"","affiliations":[{"id":64513,"text":"University of Turin","active":true,"usgs":false}],"preferred":false,"id":914874,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pauli, Harald","contributorId":344853,"corporation":false,"usgs":false,"family":"Pauli","given":"Harald","email":"","affiliations":[{"id":82428,"text":"Austrian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":914875,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Randin, Christophe","contributorId":344854,"corporation":false,"usgs":false,"family":"Randin","given":"Christophe","email":"","affiliations":[{"id":35541,"text":"University of Lausanne","active":true,"usgs":false}],"preferred":false,"id":914876,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rosbakh, Sergey","contributorId":344855,"corporation":false,"usgs":false,"family":"Rosbakh","given":"Sergey","email":"","affiliations":[{"id":12672,"text":"University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":914877,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sayre, Roger 0000-0001-6703-7105","orcid":"https://orcid.org/0000-0001-6703-7105","contributorId":245011,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":914878,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tehrani, Nasrin","contributorId":344856,"corporation":false,"usgs":false,"family":"Tehrani","given":"Nasrin","email":"","affiliations":[{"id":35541,"text":"University of Lausanne","active":true,"usgs":false}],"preferred":false,"id":914879,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Verbiest, William","contributorId":344857,"corporation":false,"usgs":false,"family":"Verbiest","given":"William","email":"","affiliations":[{"id":27567,"text":"Ghent University","active":true,"usgs":false}],"preferred":false,"id":914880,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Walker, Tom","contributorId":344858,"corporation":false,"usgs":false,"family":"Walker","given":"Tom","email":"","affiliations":[{"id":49105,"text":"University of Neuchatel","active":true,"usgs":false}],"preferred":false,"id":914881,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wipf, Sonja","contributorId":344859,"corporation":false,"usgs":false,"family":"Wipf","given":"Sonja","email":"","affiliations":[{"id":82429,"text":"Institute for Snow and Avalanche Research","active":true,"usgs":false}],"preferred":false,"id":914882,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Adler, 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white-tailed deer","docAbstract":"Chronic wasting disease (CWD) is a fatal prion disease of cervids that has spread across much of North America. Although gold standard CWD diagnostics involve postmortem testing of medial retropharyngeal lymph nodes or obex (brain stem), a key tissue sample for antemortem testing is rectoanal mucosa–associated lymphoid tissue (RAMALT). However, collection of an adequate sample (i.e., enough lymphoid follicles) may be affected by factors such as deer age, repeated sampling, skill of the sampler, and adverse conditions during collection. Here, we document the protocol used to train personnel for RAMALT collection in a large study of free-ranging white-tailed deer (Odocoileus virginianus) in Wisconsin, USA, and determine factors that contributed to the occurrence of inadequate RAMALT samples. Our training protocol included hands-on experience with postmortem tissues, as well as a mentored collection process in the field. Collection of RAMALT under field conditions was highly successful, with 763/806 (94.7%) samples deemed adequate for subsequent testing. Although inadequate samples were rare, they were more likely to occur with older deer and when samples were collected at dusk (i.e., limited ambient lighting). We conclude that RAMALT collection can be highly successful under adverse field conditions, including with technicians with limited prior veterinary experience, and we provide details of our training program to facilitate repeatability in other antemortem CWD testing efforts.
","language":"English","publisher":"Allen Press","doi":"10.7589/jwd-d-24-00020","usgsCitation":"Gilbertson, M., Long, L.J., Inzalaco, H.N., Turner, W.C., and Storm, D.J., 2024, Effective field sampling of rectoanal mucosa-associated lymphoid tissue for antemortem chronic wasting disease testing in white-tailed deer: Journal of Wildlife Diseases, v. 60, no. 4, p. 996-1003, https://doi.org/10.7589/jwd-d-24-00020.","productDescription":"8 p.","startPage":"996","endPage":"1003","ipdsId":"IP-162799","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":433665,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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J.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":910641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Lindsey J.","contributorId":343139,"corporation":false,"usgs":false,"family":"Long","given":"Lindsey","email":"","middleInitial":"J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Inzalaco, Heather N.","contributorId":343142,"corporation":false,"usgs":false,"family":"Inzalaco","given":"Heather","email":"","middleInitial":"N.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":910643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storm, Daniel J.","contributorId":343147,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910645,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70256788,"text":"70256788 - 2024 - Low-flow period seasonality, trends, and climate linkages across the United States","interactions":[],"lastModifiedDate":"2024-08-13T14:41:37.568761","indexId":"70256788","displayToPublicDate":"2024-07-31T09:46:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1927,"text":"Hydrological Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"Low-flow period seasonality, trends, and climate linkages across the United States","docAbstract":"Low-flow period properties, including timing, magnitude, and duration, influence many key processes for water resource managers and ecosystems. We computed annual low-flow period duration and timing metrics from 1951 to 2020 for 1032 conterminous United States (CONUS) streamgages and analyzed spatial patterns, trends through time, and relationships to climate. Results show northwestern and eastern CONUS streamgages had longer and more inter-annually consistent low-flow period durations, while central CONUS periods were shorter and more variable. Low-flow periods most often occurred in summer months but start and end dates occurred later in north-central and mountainous western CONUS, which have the greatest number of low flows during cold seasons. Low-flow periods are becoming longer in southeastern and northwestern CONUS but shorter in much of the rest of CONUS. Temperature was correlated with low-flow period duration in southeastern and northwestern CONUS, and precipitation was correlated with duration everywhere, but most strongly in eastern CONUS.
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megafire","interactions":[],"lastModifiedDate":"2025-07-10T14:01:02.446404","indexId":"70268897","displayToPublicDate":"2024-07-31T08:53:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Movement behavior in a dominant ungulate underlies successful adjustment to a rapidly changing landscape following megafire","docAbstract":"Movement plays a key role in allowing animal species to adapt to sudden environmental shifts. Anthropogenic climate and land use change have accelerated the frequency of some of these extreme disturbances, including megafire. These megafires dramatically alter ecosystems and challenge the capacity of several species to adjust to a rapidly changing landscape. Ungulates and their movement behaviors play a central role in the ecosystem functions of fire-prone ecosystems around the world. Previous work has shown behavioral plasticity is an important mechanism underlying whether large ungulates are able to adjust to recent changes in their environments effectively. Ungulates may respond to the immediate effects of megafire by adjusting their movement and behavior, but how these responses persist or change over time following disturbance is poorly understood.
We examined how an ecologically dominant ungulate with strong site fidelity, Columbian black-tailed deer (Odocoileus hemionus columbianus), adjusted its movement and behavior in response to an altered landscape following a megafire. To do so, we collected GPS data from 21 individual female deer over the course of a year to compare changes in home range size over time and used resource selection functions (RSFs) and hidden Markov movement models (HMMs) to assess changes in behavior and habitat selection.
We found compelling evidence of adaptive capacity across individual deer in response to megafire. Deer avoided exposed and severely burned areas that lack forage and could be riskier for predation immediately following megafire, but they later altered these behaviors to select areas that burned at higher severities, potentially to take advantage of enhanced forage.
These results suggest that despite their high site fidelity, deer can navigate altered landscapes to track rapid shifts in encounter risk with predators and resource availability. This successful adjustment of movement and behavior following extreme disturbance could help facilitate resilience at broader ecological scales.
","language":"English","publisher":"BMC","doi":"10.1186/s40462-024-00488-4","usgsCitation":"Calhoun, K., Connor, T., Gaynor, K., Van Scoyoc, A., Mcinturff, M.C., Kreling, S., and Brashares, J., 2024, Movement behavior in a dominant ungulate underlies successful adjustment to a rapidly changing landscape following megafire: Movement Ecology, v. 12, 53, 15 p., https://doi.org/10.1186/s40462-024-00488-4.","productDescription":"53, 15 p.","ipdsId":"IP-147496","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492091,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-024-00488-4","text":"Publisher Index Page"},{"id":492008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Mendocino County","otherGeospatial":"Hopland Research and Extension Center","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.19199932451019,\n 39.34410383705571\n ],\n [\n -123.19199932451019,\n 38.95674957822277\n ],\n [\n -122.6413335916133,\n 38.95674957822277\n ],\n [\n -122.6413335916133,\n 39.34410383705571\n ],\n [\n -123.19199932451019,\n 39.34410383705571\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Calhoun, Kendall L.","contributorId":357766,"corporation":false,"usgs":false,"family":"Calhoun","given":"Kendall L.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":942541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, Thomas","contributorId":357767,"corporation":false,"usgs":false,"family":"Connor","given":"Thomas","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":942542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaynor, Kaitlyn M.","contributorId":357768,"corporation":false,"usgs":false,"family":"Gaynor","given":"Kaitlyn M.","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":942543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Scoyoc, Amy","contributorId":357769,"corporation":false,"usgs":false,"family":"Van Scoyoc","given":"Amy","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":942544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mcinturff, Michael C 0000-0002-4858-1292","orcid":"https://orcid.org/0000-0002-4858-1292","contributorId":337290,"corporation":false,"usgs":true,"family":"Mcinturff","given":"Michael","email":"","middleInitial":"C","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":942545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kreling, Samantha E.S.","contributorId":357770,"corporation":false,"usgs":false,"family":"Kreling","given":"Samantha E.S.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":942546,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brashares, Justin S.","contributorId":357771,"corporation":false,"usgs":false,"family":"Brashares","given":"Justin S.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":942547,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70257022,"text":"70257022 - 2024 - Forecasting inundation of catastrophic landslides from precursory creep","interactions":[],"lastModifiedDate":"2024-08-07T11:48:20.121781","indexId":"70257022","displayToPublicDate":"2024-07-31T06:47:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting inundation of catastrophic landslides from precursory creep","docAbstract":"Forecasting landslide inundation upon catastrophic failure is crucial for reducing casualties, yet it remains a long-standing challenge owing to the complex nature of landslides. Recent global studies indicate that catastrophic hillslope failures are commonly preceded by a period of precursory creep, motivating a novel scheme to foresee their hazard. Here, we showcase an approach to hindcast landslide inundation by linking satellite-captured precursory displacements to modeling of consequent granular-fluid flows. We present its application to the 2021 Chunchi, Ecuador landslide, which failed catastrophically and evolved into a mobile debris flow after four months of precursory creep, destroying 68 homes along its lengthy flow path. Underpinned by uncertainty quantification and in situ validations, we highlight the feasibility and potential of forecasting landslide inundation damage using observable precursors. This forecast approach is broadly applicable for flow hazards initiated from geomaterial failures.
Background
Unfettered movement among habitats is crucial for fish to access patchily distributed resources and complete their life cycle, but many riverscapes in the American Southwest are fragmented by dams. The federally endangered Rio Grande silvery minnow (Hybognathus amarus, RGSM) persists in a fragmented remnant of its former range (ca. 95% range reduction), and its movement ecology is understudied.
Methods
We tracked movements of hatchery-reared RGSM, tagged with passive integrated transponder tags, using stationary and mobile antennas from 2019–2022. We quantified probability of movement and total distance moved by RGSM released above and below a dam. We then assessed how well two prevailing riverine movement theories (i.e., restricted movement paradigm [RMP] and colonization cycle hypothesis [CCH]) explained RGSM movement patterns.
Results
We detected 36.8% of released RGSM (n = 37,215) making at least one movement. Movements were leptokurtic and substantially greater than expected based on the RMP for both stationary (1.7–5.9 m) and mobile (30.3–77.8 m) individuals. On average, RGSM were detected at large for 75 days and moved a total of 12.2 rkm within a year. The maximum total distance moved by RGSM was 103 rkm. Similarly, we observed a multimodal distribution of detected range sizes with a mean detected range of 2.4 rkm and a maximum detected range of 78.2 rkm. We found little support for an upstream movement bias, as expected under the CCH, and most movements (74%) were directed downstream.
Conclusions
Our data suggest RGSM are highly mobile, with the ability to make long-distance movements. Neither movement theory adequately described movement patterns of RGSM; instead, our findings support a nomadic movement pattern and an apparent drift paradox matching recent studies of other pelagic-broadcast spawning minnows who persist upstream despite experiencing downstream drift as larvae. Resolution of the drift paradox may be achieved through further, targeted studies into different aspects of the species’ life history. Quantification of RGSM movement provides crucial insights into the species’ movement ecology and may help define the appropriate scale of recovery efforts.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-024-00490-w","usgsCitation":"Chavez, M., Budy, P., Pennock, C., Archdeacon, T., and MacKinnon, P., 2024, Movement patterns of a small-bodied minnow suggest nomadism in a fragmented, desert river: Movement Ecology, v. 12, no. 1, 52, 16 p., https://doi.org/10.1186/s40462-024-00490-w.","productDescription":"52, 16 p.","ipdsId":"IP-160669","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488398,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-024-00490-w","text":"Publisher Index Page"},{"id":485717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Grande Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.31501922274943,\n 35.106549536841754\n ],\n [\n -107.31501922274943,\n 33.32320923069706\n ],\n [\n -106.3385899856597,\n 33.32320923069706\n ],\n [\n -106.3385899856597,\n 35.106549536841754\n ],\n [\n -107.31501922274943,\n 35.106549536841754\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Chavez, Martinique J.","contributorId":354893,"corporation":false,"usgs":false,"family":"Chavez","given":"Martinique J.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":936630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pennock, Casey A.","contributorId":354894,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey A.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":936631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Archdeacon, Thomas P.","contributorId":354895,"corporation":false,"usgs":false,"family":"Archdeacon","given":"Thomas P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":936633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"MacKinnon, Peter D.","contributorId":354897,"corporation":false,"usgs":false,"family":"MacKinnon","given":"Peter D.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":936634,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255733,"text":"ofr20241028 - 2024 - Quantitative risk of earthquake disruption to global copper and rhenium supply","interactions":[],"lastModifiedDate":"2026-01-29T19:43:09.273755","indexId":"ofr20241028","displayToPublicDate":"2024-07-30T13:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1028","displayTitle":"Quantitative Risk of Earthquake Disruption to Global Copper and Rhenium Supply","title":"Quantitative risk of earthquake disruption to global copper and rhenium supply","docAbstract":"Earthquakes have the potential to substantially affect mining operations, potentially leading to supply chain disruptions and adversely affecting the global economy. This study explores the quantification of earthquake risk to copper and rhenium commodity supply by examining the spatial concentration of high earthquake hazard areas and the commodity-specific mining, smelting, and refining operations across the globe. Because many of the largest facilities are concentrated geographically near the highly seismic regions of South America, East Asia, and the Pacific, there is a potential for cascading effects on the entire supply chain. The analysis indicates that the expected annual disruption of global production is 0.3–1.1 percent for copper mines, 1.8–4.0 percent for smelters, and 1.5–3.3 percent for refineries. Expected annual disruption of global rhenium production capacity is 0.32–1.32 percent. The research highlights that the potential lost revenue from earthquake disruptions is from $315 million to $1.29 billion for copper mining, $1.92 billion to $4.33 billion for copper smelting, $2.06 billion to $4.52 billion for copper refining, and $337,000 to $1.40 million for rhenium production capacity.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241028","programNote":"Earthquake Hazards Program and Mineral Resources Program","usgsCitation":"Jaiswal, K.S., Luco, N., Schnebele, E.K., Nassar, N.T., and Otarod, D., 2024, Quantitative risk of earthquake disruption to global copper and rhenium supply: U.S. Geological Survey Open-File Report 2024–1028, 19 p., https://doi.org/10.3133/ofr20241028.","productDescription":"iv, 19 p.","onlineOnly":"Y","ipdsId":"IP-155335","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true},{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":499250,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117153.htm","linkFileType":{"id":5,"text":"html"}},{"id":431677,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241028/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1028"},{"id":431623,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1028/ofr20241028.xml"},{"id":431622,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1028/images"},{"id":430730,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1028/coverthb.jpg"},{"id":430732,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1028/ofr20241028.pdf","text":"Report","size":"17.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1028"}],"contact":"Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, Mail Stop 966
Denver, CO 80225
The annual maximum extent of surface water in Klamath Marsh has naturally fluctuated in response to periods of wet and dry conditions in the surrounding basin. Field observations during the 2010s indicate that the annual maximum extent of surface water has been declining and the marsh is not responding to hydrologic inputs as it had historically. This report describes the results of a hydrologic evaluation of Klamath Marsh to characterize and understand multi-year declines in the surface-water extent and increased intermittency of streamflow exiting the marsh.
Landsat imagery collected during 1985–2021 was processed to create a time series of annual maximum surface-water extent to assess changes in surface-water inundation within the marsh. A 50-percent decrease in the mean surface area of annual total open-water extent (TOWE) during the latter half of the study period (2003–21) compared to the first half (1985–2003) was observed in this 37-year time-series dataset. The change in open-water extent was offset by a corresponding increase in dry land in the marsh.
Time series of streamflow, groundwater level, total annual precipitation, annual mean temperature, and anthropogenic water use and water management were compiled and evaluated to improve understanding of the factors affecting TOWE. Statistically significant downward trends in the regional groundwater table and streamflow into and out of the marsh were identified as well as statistically significant upward trends in annual mean temperature. Statistically significant correlations among TOWE, streamflow, and groundwater level also were identified. The decreasing trends could not be attributed to changes in total annual precipitation or changing anthropogenic groundwater use within the study area.
Declines in the open-water extent of Klamath Marsh since 2000 principally are due to a decoupling of the groundwater and surface-water system beneath the marsh because of regional declines in groundwater level. Regional increases in air temperature and the reestablishment of more than 55,000 acres of forested land within the study area have likely contributed to increasing evapotranspiration, leaving less water available for groundwater recharge and stream base flow and resulting in basin-wide declines in streamflow and groundwater levels.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245033","collaboration":"Prepared in cooperation with the Klamath Tribes","usgsCitation":"Kennedy, J.J., Johnson, H.M., Gingerich, S.B., 2024, Assessment of long-term changes in surface-water extent within Klamath Marsh, south-central Oregon, 1985–2021: U.S. Geological Survey Scientific Investigations Report 2024–5033, 32 p., https://doi.org/10.3133/sir20245033.","productDescription":"Report: ix, 32 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-153514","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":499460,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117151.htm","linkFileType":{"id":5,"text":"html"}},{"id":431674,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5033/sir20245033.XML"},{"id":431673,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5033/images"},{"id":431672,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RC7RJM","text":"USGS data release","description":"USGS data release","linkHelpText":"Klamath Marsh January through June maximum surface water extent, 1985–2021"},{"id":431671,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245033/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5033"},{"id":431670,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5033/sir20245033.pdf","text":"Report","size":"6.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5033"},{"id":431669,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5033/sir20245033.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 -122.27115315992094,\n 43.15707158138778\n ],\n [\n -122.27115315992094,\n 42.30\n ],\n [\n -121.15,\n 42.30\n ],\n [\n -121.15,\n 43.15707158138778\n ],\n [\n -122.27115315992094,\n 43.15707158138778\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
601 SW 2nd Avenue, Suite 1950
Portland, OR 97204