{"pageNumber":"142","pageRowStart":"3525","pageSize":"25","recordCount":46651,"records":[{"id":70243031,"text":"70243031 - 2022 - Climate matching with the climatchR R package","interactions":[],"lastModifiedDate":"2023-04-27T12:13:41.49622","indexId":"70243031","displayToPublicDate":"2022-09-11T07:11:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14260,"text":"Environmental Software & Modeling","active":true,"publicationSubtype":{"id":10}},"title":"Climate matching with the climatchR R package","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"d1e271\" class=\"abstract author\"><div id=\"d1e274\"><p id=\"d1e275\"><span>Climate matching allows comparisons of climatic conditions between different locations to understand location and species range climatic suitability. The approach may be used as part of horizon scanning exercises such as those conducted for&nbsp;invasive species. We implemented the CLIMATCH algorithm into an R package,&nbsp;</span><span class=\"monospace\">climatchR</span>. The package allows automated and scripted climate matching exercises across all steps from downloading data to summarizing species climate matches. We also show how<span>&nbsp;</span><span class=\"monospace\">climatchR</span><span>&nbsp;</span>may be used with high-throughput computing to process many species. For example, we were able to calculate climate scores for over 8,000 species in less than 3 days using this package. This automation allows high-throughput processing of species data, a new development for improving the efficiency and speed of climate matching and horizon scanning.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2022.105510","usgsCitation":"Erickson, R.A., Engelstad, P.S., Jarnevich, C.S., Sofaer, H., and Daniel, W., 2022, Climate matching with the climatchR R package: Environmental Software & Modeling, v. 157, 105510, 7 p., https://doi.org/10.1016/j.envsoft.2022.105510.","productDescription":"105510, 7 p.","ipdsId":"IP-135680","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":435695,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ILPPTC","text":"USGS data release","linkHelpText":"climatchR: An implementation of CLIMATCH in R. v2.0"},{"id":435694,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q28JVU","text":"USGS data release","linkHelpText":"climatchR: An implementation of Climatch in R"},{"id":416434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"157","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":870742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engelstad, Peder S","contributorId":304502,"corporation":false,"usgs":false,"family":"Engelstad","given":"Peder","email":"","middleInitial":"S","affiliations":[{"id":7230,"text":"Natural Resource Ecology Laboratory, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":870743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":870744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sofaer, Helen 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":870745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daniel, Wesley M. 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":219320,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":870746,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236547,"text":"fs20223076 - 2022 - How USGS gages are used in flood forecasting","interactions":[],"lastModifiedDate":"2026-01-27T18:38:19.89429","indexId":"fs20223076","displayToPublicDate":"2022-09-09T14:03:18","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3076","displayTitle":"How USGS Gages Are Used in Flood Forecasting","title":"How USGS gages are used in flood forecasting","docAbstract":"<p>The U.S. Geological Survey (USGS) operates an extensive nationwide network of stream, rain, and groundwater gages. These instruments are used to monitor how much water there is across the Nation at any given moment. Stream data are collected at streamgages every 15 minutes, transmitted to USGS servers, and updated online in real time. To improve awareness of current water conditions and possible flooding, stream data are combined with rain data collected at nearby USGS rain gages. The National Weather Service uses the USGS stream and rain data to forecast when flooding might occur and issue flood warnings.</p>","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223076","collaboration":"Prepared in cooperation with National Weather Service","usgsCitation":"Sobieszczyk, S., 2022, How USGS gages are used in flood forecasting: U.S. Geological Survey Fact Sheet 2022–3076, 2 p., https://doi.org/10.3133/fs20223076. [In English and Spanish.]","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-143721","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":406458,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3076/fs20223076.pdf","size":"422 kB","linkFileType":{"id":1,"text":"pdf"},"description":"fs 2022-3076"},{"id":406457,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3076/coverthb.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/nm-water\" data-mce-href=\"https://www.usgs.gov/centers/nm-water\">New Mexico Water Science Center</a><br>U.S. Geological Survey&nbsp; <br>6700 Edith Blvd. NE&nbsp; <br>Albuquerque, NM 87113</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a><br><br></p>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2022-09-09","noUsgsAuthors":false,"publicationDate":"2022-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Sobieszczyk, Steven 0000-0002-0834-8437 ssobie@usgs.gov","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":885,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","email":"ssobie@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851363,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70237821,"text":"70237821 - 2022 - A reproducible and reusable pipeline for segmentation of geoscientific imagery","interactions":[],"lastModifiedDate":"2022-10-25T14:30:48.574122","indexId":"70237821","displayToPublicDate":"2022-09-09T09:27:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"A reproducible and reusable pipeline for segmentation of geoscientific imagery","docAbstract":"<p><span>Segmentation of Earth science imagery is an increasingly common task. Among modern techniques that use Deep Learning, the UNet architecture has been shown to be a reliable for segmenting a range of imagery. We developed software–Segmentation Gym–to implement a data-model pipeline for segmentation of scientific imagery using a family of UNet models. With an existing set of imagery and labels, the software uses a single configuration file that handles data set creation, as well as model setup and model training. Key benefits of this software are (a) the focus on reproducible data set creation and modeling, and (b) the ability for quick model experimentation through changes to a configuration file. Quick experimentation permits researchers to prototype different model architectures, sizes, and adjust common hyperparameters to find a suitable model. We demonstrate the use of the software using a data set of 419 labeled Landsat-8 scenes of coastal environments and compare results across two model architectures, five model sizes, and three loss functions. This demonstration highlights that our software enables rapid, reproducible experimentation to determine optimal hyperparameters for specific data sets and research questions.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022EA002332","usgsCitation":"Buscombe, D.D., and Goldstein, E.B., 2022, A reproducible and reusable pipeline for segmentation of geoscientific imagery: Earth and Space Science, v. 9, e2022EA002332, 11 p., https://doi.org/10.1029/2022EA002332.","productDescription":"e2022EA002332, 11 p.","ipdsId":"IP-136939","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":446483,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022ea002332","text":"Publisher Index Page"},{"id":408698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2022-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":198817,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","middleInitial":"D.","affiliations":[],"preferred":false,"id":855767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldstein, Evan B. 0000-0001-9358-1016","orcid":"https://orcid.org/0000-0001-9358-1016","contributorId":184210,"corporation":false,"usgs":false,"family":"Goldstein","given":"Evan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":855768,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70238489,"text":"70238489 - 2022 - Landscape genetics of a sub-alpine toad: Climate change predicted to induce upward range shifts via asymmetrical migration corridors","interactions":[],"lastModifiedDate":"2022-11-28T12:58:23.041365","indexId":"70238489","displayToPublicDate":"2022-09-08T06:50:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1890,"text":"Heredity","active":true,"publicationSubtype":{"id":10}},"title":"Landscape genetics of a sub-alpine toad: Climate change predicted to induce upward range shifts via asymmetrical migration corridors","docAbstract":"<p>Climate change is expected to have a major hydrological impact on the core breeding habitat and migration corridors of many amphibians in the twenty-first century. The Yosemite toad (<i>Anaxyrus canorus</i>) is a species of meadow-specializing amphibian endemic to the high-elevation Sierra Nevada Mountains of California. Despite living entirely on federal lands, it has recently faced severe extirpations, yet our understanding of climatic influences on population connectivity is limited. In this study, we used a previously published double-digest RADseq dataset along with numerous remotely sensed habitat features in a landscape genetics framework to answer two primary questions in Yosemite National Park: (1) Which fine-scale climate, topographic, soil, and vegetation features most facilitate meadow connectivity? (2) How is climate change predicted to influence both the magnitude and net asymmetry of genetic migration? We developed an approach for simultaneously modeling multiple toad migration paths, akin to circuit theory, except raw environmental features can be separately considered. Our workflow identified the most likely migration corridors between meadows and used the unique cubist machine learning approach to fit and forecast environmental models of connectivity. We identified the permuted modeling importance of numerous snowpack-related features, such as runoff and groundwater recharge. Our results highlight the importance of considering phylogeographic structure, and asymmetrical migration in landscape genetics. We predict an upward elevational shift for this already high-elevation species, as measured by the net vector of anticipated genetic movement, and a north-eastward shift in species distribution via the network of genetic migration corridors across the park.</p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41437-022-00561-x","usgsCitation":"Maier, P., Vandergast, A.G., Ostoja, S.M., Aguilar, A., and Bohonak, A.J., 2022, Landscape genetics of a sub-alpine toad: Climate change predicted to induce upward range shifts via asymmetrical migration corridors: Heredity, v. 129, p. 257-272, https://doi.org/10.1038/s41437-022-00561-x.","productDescription":"16 p.","startPage":"257","endPage":"272","ipdsId":"IP-144739","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":446498,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9613655","text":"External Repository"},{"id":409669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.4668810085783,\n              38.44363766038242\n            ],\n            [\n              -120.4668810085783,\n              36.93160395898977\n            ],\n            [\n              -118.12778648528116,\n              36.93160395898977\n            ],\n            [\n              -118.12778648528116,\n              38.44363766038242\n            ],\n            [\n              -120.4668810085783,\n              38.44363766038242\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"129","noUsgsAuthors":false,"publicationDate":"2022-09-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Maier, Paul A. 0000-0003-0851-8827","orcid":"https://orcid.org/0000-0003-0851-8827","contributorId":221033,"corporation":false,"usgs":false,"family":"Maier","given":"Paul A.","affiliations":[{"id":40313,"text":"Department of Biology, San Diego State","active":true,"usgs":false}],"preferred":false,"id":857617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":857618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ostoja, Steven M sostoja@usgs.gov","contributorId":192955,"corporation":false,"usgs":false,"family":"Ostoja","given":"Steven","email":"sostoja@usgs.gov","middleInitial":"M","affiliations":[],"preferred":false,"id":857619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aguilar, Andres","contributorId":195155,"corporation":false,"usgs":false,"family":"Aguilar","given":"Andres","email":"","affiliations":[],"preferred":false,"id":857620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bohonak, Andrew J.","contributorId":195156,"corporation":false,"usgs":false,"family":"Bohonak","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":857621,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236067,"text":"ofr20221037 - 2022 - Monitoring framework to evaluate effectiveness of aquatic and floodplain habitat restoration activities for native fish along the Willamette River, northwestern Oregon","interactions":[],"lastModifiedDate":"2026-03-30T13:24:47.084148","indexId":"ofr20221037","displayToPublicDate":"2022-09-07T10:20:44","publicationYear":"2022","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":"2022-1037","displayTitle":"Monitoring Framework to Evaluate Effectiveness of Aquatic and Floodplain Habitat Restoration Activities for Native Fish along the Willamette River, Northwestern Oregon","title":"Monitoring framework to evaluate effectiveness of aquatic and floodplain habitat restoration activities for native fish along the Willamette River, northwestern Oregon","docAbstract":"<p class=\"p1\">Since 2008, large-scale restoration programs have been implemented along the Willamette River, Oregon, to address historical losses of floodplain habitats caused by dam construction, bank protection, large wood removal, land conversion, and other anthropogenic influences. The Willamette Focused Investment Partnership (WFIP) restoration initiative brings together more than 16 organizations to improve floodplain habitats on more than 35,000 hectares upstream from Willamette Falls with the overarching goal to expand and enhance native fish habitats through the following restoration activities implemented along the floodplains and off-channel areas of the Willamette River: (A) modify floodplain topography and human-made barriers to inundation; (B) enhance gravel pits; (C) remove revetments; (D) construct off-channel features; (E) increase and enhance floodplain forest vegetation; and (F) treat aquatic invasive plant species (AIS). The WFIP Effectiveness Monitoring Program was initiated to inform future refinement of Willamette River restoration program goals and activities and has <span class=\"s1\">three </span>goals: (1) evaluate the effectiveness of different restoration activities at increasing and enhancing native fish habitat, (2) improve overall understanding of the physical and ecological responses associated with different restoration activities undertaken by the WFIP, and (3) relate site-scale responses to restoration with broader patterns of fish communities, hydrogeomorphology, stream temperature, and vegetation across the Willamette River floodplain, so that the relative importance of restoration activities on habitat availability for native fish can be assessed.</p><p class=\"p1\">A monitoring framework was developed to evaluate effectiveness of floodplain restoration activities at increasing and enhancing habitat for native fish in the Willamette River corridor, northwestern Oregon. This framework describes monitoring indicators, metrics, and approaches for evaluating responses in native fish communities and physical habitat conditions to restoration activities and determining effectiveness of restoration activities at improving habitats for native fish. The monitoring indicators and approaches are grouped into five restoration monitoring categories that are useful for characterizing ecological and physical habitat responses to restoration activities: fish, hydrogeomorphology, floodplain forest vegetation, birds, and AIS. This monitoring framework provides a common science foundation to support collaborative decisions on future interdisciplinary effectiveness monitoring activities for Willamette River restoration programs. To evaluate restoration effectiveness, data must be evaluated according to metrics and thresholds that permit direct comparison between habitat conditions at the restoration site and restoration program goals; this framework provides examples of metrics and thresholds for evaluating data, recognizing that the precise evaluation criteria for a particular site or program will need to be tailored to meet program questions and available resources. Refining restoration goals and activities as part of an adaptively managed process requires addressing critical uncertainties between restoration goals, restoration activities, and outcomes for habitats used by native fish. Although the monitoring activities of this framework will generate important datasets useful for evaluating restoration effectiveness, additional research, syntheses, and reporting is ultimately necessary to provide a common science foundation to support adaptively managed restoration programs. This report is intended as a resource for restoration program managers, practitioners, scientists, and contractors as they develop detailed annual monitoring plans for data collection and identify the monitoring indicators, metrics, and approaches that are appropriate for evaluating effectiveness of different restoration activities.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221037","collaboration":"Prepared in cooperation with Benton Soil and Water Conservation District and Oregon Watershed Enhancement Board","usgsCitation":"Keith, M.K., Wallick, J.R., Flitcroft, R.L., Kock, T.J., Brown, L.A., Miller, R., Hagar, J.C., Guillozet, K., and Jones, K.L., 2022, Monitoring framework to evaluate effectiveness of aquatic and floodplain habitat restoration activities for native fish along the Willamette River, northwestern Oregon: U.S. Geological Survey Open-File Report 2022–1037, 116 p., https://doi.org/10.3133/ofr20221037.","productDescription":"Report: xi,116 p.; Data Reease","onlineOnly":"Y","ipdsId":"IP-117547","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":501771,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113503.htm","linkFileType":{"id":5,"text":"html"}},{"id":405744,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N55MYW","text":"USGS data release","description":"USGS data release","linkHelpText":"Native and non-native fish species in the Willamette River Basin, Oregon"},{"id":405742,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1037/coverthb.jpg"},{"id":405743,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1037/ofr20221037.pdf","text":"Report","size":"77.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1037"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.42041015624999,\n              43.96119063892024\n            ],\n            [\n              -122.36572265625,\n              43.96119063892024\n            ],\n            [\n              -122.36572265625,\n              45.537136680398596\n            ],\n            [\n              -123.42041015624999,\n              45.537136680398596\n            ],\n            [\n              -123.42041015624999,\n              43.96119063892024\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/oregon-water-science-center\" target=\"_bpank\" data-mce-href=\"https://www.usgs.gov/centers/oregon-water-science-center\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Chapter A. Background for Willamette River Restoration Effectiveness Monitoring</li><li>Chapter B. Monitoring Responses of Fish Communities and Their Food Resources to Willamette River Restoration Activities</li><li>Chapter C. Monitoring Hydrogeomorphic and Water Temperature Responses to Restoration Activities That Directly Modify Hydrogeomorphic Processes</li><li>Chapter D. Monitoring Vegetation Responses and Floodplain Inundation at Floodplain Forest Restoration Sites</li><li>Chapter E. Monitoring Avian Responses to Floodplain Forest Vegetation Restoration Activities</li><li>Chapter F. Monitoring Aquatic Vegetation, Dissolved Oxygen, and Substrate Responses to Aquatic Invasive Plant Species Treatment Activities</li><li>Chapter G. Conclusions for the Willamette River Restoration Effectiveness Monitoring Framework</li><li>References Cited</li><li>Appendix 1. Definitions of Terms Used in This Report</li><li>Appendix 2. Restoration Activities and Expected Ecological and Physical Outcomes</li><li>Appendix 3. General Considerations for Monitoring</li><li>Appendix 4. Hydrogeomorphic, Floodplain Forest Vegetation, and Aquatic Invasive Plant Species Restoration Activities and Examples of Monitoring</li></ul>","publishedDate":"2022-09-07","noUsgsAuthors":false,"publicationDate":"2022-09-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Keith, Mackenzie K. 0000-0002-7239-0576 mkeith@usgs.gov","orcid":"https://orcid.org/0000-0002-7239-0576","contributorId":196963,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie","email":"mkeith@usgs.gov","middleInitial":"K.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallick, J. Rose 0000-0002-9392-272X rosewall@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-272X","contributorId":3583,"corporation":false,"usgs":true,"family":"Wallick","given":"J. Rose","email":"rosewall@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flitcroft, Rebecca L. 0000-0003-3341-996X","orcid":"https://orcid.org/0000-0003-3341-996X","contributorId":172180,"corporation":false,"usgs":false,"family":"Flitcroft","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":849922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":849923,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Laura A.","contributorId":145457,"corporation":false,"usgs":false,"family":"Brown","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":849924,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Rich","contributorId":295750,"corporation":false,"usgs":false,"family":"Miller","given":"Rich","email":"","affiliations":[],"preferred":false,"id":849925,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hagar, Joan C. 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":57034,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","middleInitial":"C.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":849926,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guillozet, Kathleen","contributorId":295751,"corporation":false,"usgs":false,"family":"Guillozet","given":"Kathleen","email":"","affiliations":[],"preferred":false,"id":849927,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Krista L. 0000-0002-0301-4497 kljones@usgs.gov","orcid":"https://orcid.org/0000-0002-0301-4497","contributorId":4550,"corporation":false,"usgs":true,"family":"Jones","given":"Krista","email":"kljones@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849928,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70236600,"text":"70236600 - 2022 - Using a vegetation index to assess wetland condition in the Prairie Pothole Region of North America","interactions":[],"lastModifiedDate":"2022-09-13T12:09:08.433578","indexId":"70236600","displayToPublicDate":"2022-09-07T07:01:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5738,"text":"Frontiers in Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Using a vegetation index to assess wetland condition in the Prairie Pothole Region of North America","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb15\">Wetlands deliver a suite of ecosystem services to society. Anthropogenic activities, such as wetland drainage, have resulted in considerable wetland loss and degradation, diminishing the intrinsic value of wetland ecosystems worldwide. Protecting remaining wetlands and restoring degraded wetlands are common management practices to preserve and reclaim wetland benefits to society. Accordingly, methods for monitoring and assessing wetlands are required to evaluate their ecologic condition and outcomes of restoration activities. We used an established methodology for conducting vegetation-based assessments and describe a case study consisting of a wetland condition assessment in the Prairie Pothole Region of the North American Great Plains. We provide an overview of an existing method for selecting wetlands to sample across broad geographic distributions using a spatially balanced statistical design. We also describe site assessment protocols, including vegetation survey methods, and how field data were applied to a vegetation index that categorized wetlands according to ecologic condition. Results of the case study indicated that vegetation communities in nearly 50% of the surveyed wetlands were in<span>&nbsp;</span><i>very poor</i><span>&nbsp;</span>or<span>&nbsp;</span><i>poor</i><span>&nbsp;</span>condition, while only about 25% were considered<span>&nbsp;</span><i>good</i><span>&nbsp;</span>or<span>&nbsp;</span><i>very good</i>. Approximately 70% of wetlands in native grasslands were categorized as<span>&nbsp;</span><i>good</i><span>&nbsp;</span>or<span>&nbsp;</span><i>very good</i><span>&nbsp;</span>compared to only 12% of those in reseeded grasslands (formerly cropland). In terms of informing restoration and management activities, results indicated that improved restoration practices could include a greater focus on establishing natural vegetation communities, and both restored and native prairie wetlands would benefit from enhanced management of invasive species.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fenvs.2022.889170","usgsCitation":"Tangen, B., Bansal, S., Jones, S., Dixon, C.S., Nahlik, A.M., DeKeyser, E., Hargiss, C.L., and Mushet, D., 2022, Using a vegetation index to assess wetland condition in the Prairie Pothole Region of North America: Frontiers in Environmental Science, v. 10, 889170, 12 p., https://doi.org/10.3389/fenvs.2022.889170.","productDescription":"889170, 12 p.","ipdsId":"IP-136189","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":446506,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2022.889170","text":"Publisher Index Page"},{"id":406587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.21875,\n              41.96765920367816\n            ],\n            [\n              -92.46093749999999,\n              41.902277040963696\n            ],\n            [\n              -92.021484375,\n              42.94033923363181\n            ],\n            [\n              -92.98828125,\n              43.96119063892024\n            ],\n            [\n              -94.39453125,\n              46.98025235521883\n            ],\n            [\n  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sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":851478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Seth","contributorId":184244,"corporation":false,"usgs":false,"family":"Jones","given":"Seth","email":"","affiliations":[],"preferred":false,"id":851479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dixon, Cami S.","contributorId":208032,"corporation":false,"usgs":false,"family":"Dixon","given":"Cami","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":851480,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nahlik, Amanda M. 0000-0003-0591-375X","orcid":"https://orcid.org/0000-0003-0591-375X","contributorId":272622,"corporation":false,"usgs":false,"family":"Nahlik","given":"Amanda","email":"","middleInitial":"M.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":851481,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeKeyser, Edward S.","contributorId":138601,"corporation":false,"usgs":false,"family":"DeKeyser","given":"Edward S.","affiliations":[{"id":12459,"text":"NDSU","active":true,"usgs":false}],"preferred":false,"id":851482,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hargiss, Christina L. M. 0000-0003-3918-468X","orcid":"https://orcid.org/0000-0003-3918-468X","contributorId":219736,"corporation":false,"usgs":false,"family":"Hargiss","given":"Christina","email":"","middleInitial":"L. M.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":851483,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mushet, David M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":248468,"corporation":false,"usgs":true,"family":"Mushet","given":"David M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":851484,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70256679,"text":"70256679 - 2022 - Predation probabilities and functional responses: How piscivorous waterbirds respond to pulses in fish abundance","interactions":[],"lastModifiedDate":"2024-09-06T17:06:22.193305","indexId":"70256679","displayToPublicDate":"2022-09-06T09:54:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Predation probabilities and functional responses: How piscivorous waterbirds respond to pulses in fish abundance","docAbstract":"<p><span>How predators respond to changes in prey abundance (i.e., functional responses) is foundational to consumer–resource interactions, predator–prey dynamics, and the stability of predator–prey systems. Predation by piscivorous waterbirds on out-migrating juvenile steelhead trout (</span><i>Oncorhynchus mykiss</i><span>) is considered a factor affecting the recovery of multiple Endangered Species Act-listed steelhead populations in the Columbia River basin. Waterbird functional responses, however, may vary by predator species and location, with important implications to predator management strategies. We used a 13-year dataset on waterbird abundance across seven breeding colonies (three Caspian tern [</span><i>Hydroprogne caspia</i><span>], two double-crested cormorant [</span><i>Nannopterum auritum</i><span>], and two California and ring-billed gull [</span><i>Larus californicus</i><span>&nbsp;and&nbsp;</span><i>Larus delawarensis</i><span>] colonies) and steelhead tag-recovery data (&gt;645,000 tagged and &gt;32,000 recovered steelhead) to quantify weekly predation probabilities and functional responses across waterbird species, colonies, and years. Weekly predation probabilities were highly variable, ranging from 0.01 to 0.30 at tern colonies, 0.01 to 0.20 at cormorant colonies, and 0.03 to 0.13 at gull colonies. Per capita predation probabilities were an order of magnitude higher at inland tern and cormorant colonies relative to estuary colonies of the same species. Terns displayed Type II functional responses across colonies and years, where predation probabilities peaked at low steelhead abundances and declined as steelhead abundance increased (i.e., predator swamping). Cormorants nesting at the large estuary colony (several thousand birds) displayed a Type III functional response, but cormorants nesting at the smaller inland colony (several hundred birds) displayed a Type II response. Consumption probabilities of steelhead by gulls remained consistent across a large range of steelhead availability, suggesting a Type I or a Type III functional response, but a lack of colony abundance data prevented quantifying functional responses. The level of tern predation combined with Type II functional responses indicate possible population-level impacts that could destabilize small or declining prey populations. Conversely, the apparent Type III functional responses of gulls and estuary nesting cormorants are indicative of prey switching behaviors targeted at periods of high steelhead abundance. Our results illustrate the complexity of predator–prey interactions and the importance of quantifying predator- and location-specific functional responses when predicting the efficacy of management strategies to enhance prey populations.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4220","usgsCitation":"Hostetter, N.J., Payton, Q., Roby, D., Collis, K., and Evans, A., 2022, Predation probabilities and functional responses: How piscivorous waterbirds respond to pulses in fish abundance: Ecosphere, v. 13, no. 9, e4220, 15 p., https://doi.org/10.1002/ecs2.4220.","productDescription":"e4220, 15 p.","ipdsId":"IP-131458","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":446512,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4220","text":"Publisher Index 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,{"id":70236066,"text":"dr1159 - 2022 - Distribution and demography of coastal Cactus Wrens (Campylorhynchus brunneicapillus) in southern San Diego County, California — 2021 Data summary","interactions":[],"lastModifiedDate":"2022-09-06T16:36:59.282111","indexId":"dr1159","displayToPublicDate":"2022-09-06T09:13:48","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1159","displayTitle":"Distribution and Demography of Coastal Cactus Wrens (<i>Campylorhynchus brunneicapillus</i>) in Southern San Diego County, California—2021 Data Summary","title":"Distribution and demography of coastal Cactus Wrens (Campylorhynchus brunneicapillus) in southern San Diego County, California — 2021 Data summary","docAbstract":"<p>We surveyed for coastal Cactus Wren (<i>Campylorhynchus brunneicapillus</i>) in 378 established plots in southern San Diego County in 2021, encompassing 3 genetic clusters (Otay, Lake Jennings, and Sweetwater/Encanto). Two surveys were completed at each plot between March 1 and July 31. Cactus Wrens were detected in 130 plots (34 percent of plots), remaining virtually the same as the percentage of plots occupied in 2020 (35 percent). There were 113 Cactus Wren territories detected across all survey plots in 2021, an increase from 109 in 2020. At least 86 percent of Cactus Wren territories were occupied by pairs, and 50 fledglings were observed in 2021.</p><p>We observed 48 color-banded Cactus Wrens in 2021, 44 of which we could identify to individual. Adults of known age ranged from 2 to at least 7 years old. Adult Cactus Wrens moved, on average, 0.1 kilometers (maximum 0.5 kilometers) from their 2020 territories to their 2021 territories. No known-identity Cactus Wrens moved between genetic clusters from 2020 to 2021.</p><p>Vegetation at Cactus Wren plots typically was dominated by coastal sage scrub shrubs, such as California sagebrush (<i>Artemisia californica</i>), California buckwheat (<i>Eriogonum fasciculatum</i>), lemonadeberry (<i>Rhus integrifolia</i>), and San Diego sunflower (<i>Bahiopsis laciniata</i>). Twenty-nine percent of plots contained blue elderberry (<i>Sambucus nigra</i> ssp. <i>caerulea</i>), and Cactus Wrens occupied proportionally more plots with elderberry than plots without elderberry. Very little dead or unhealthy cactus was observed within all survey plots, and the plots that were occupied by Cactus Wrens were likely to contain more healthy cactus than plots that were not occupied by Cactus Wrens. Thirteen percent of plots had 5 percent or less of the cactus crowded or overtopped by vines and shrubs. Although in 2020, Cactus Wrens occupied proportionally more plots with 5 percent or less of cactus crowded or overtopped by vines and shrubs, this pattern was not found in 2021. Non-native annual cover was 5 percent or less at 29 percent of plots and, unlike in 2020, Cactus Wrens appeared to occupy proportionally more plots with less non-native annual cover than plots with more than 5-percent annual cover.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1159","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Lynn, S., and Kus, B.E., 2022, Distribution and demography of coastal Cactus Wrens (<i>Campylorhynchus brunneicapillus</i>) in southern San Diego County, California—2021 Data summary: Data Report 1159, 14 p., https://doi.org/10.3133/dr1159.","productDescription":"Report: viii, 14 p.; Data Release","numberOfPages":"14","onlineOnly":"Y","ipdsId":"IP-137297","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":405711,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1159/images"},{"id":405710,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1159/dr1159.xml"},{"id":405712,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76H4FK5","text":"Surveys and monitoring of Coastal Cactus Wren in Southern San Diego County","description":"Kus, B.E., and Lynn, S., 2022, Surveys and monitoring of Coastal Cactus Wren in Southern San Diego County: U.S. Geological Survey data release, accessed December 13, 2021, at https://doi.org/10.5066/F76H4FK5."},{"id":405708,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1159/covrthb.jpg"},{"id":405709,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1159/dr1159.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"California","county":"San Diego County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.1307373046875,\n              32.53986719301091\n            ],\n            [\n              -116.5,\n              32.588477769459146\n            ],\n            [\n              -116.5,\n              33\n            ],\n            [\n              -117.34222412109374,\n              33\n            ],\n            [\n              -117.1307373046875,\n              32.53986719301091\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Executive Summary&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Study Area and Methods&nbsp;&nbsp;</li><li>Results&nbsp;&nbsp;</li><li>Summary&nbsp;&nbsp;</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2022-09-06","noUsgsAuthors":false,"publicationDate":"2022-09-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynn, Suellen 0000-0003-1543-0209 suellen_lynn@usgs.gov","orcid":"https://orcid.org/0000-0003-1543-0209","contributorId":3843,"corporation":false,"usgs":true,"family":"Lynn","given":"Suellen","email":"suellen_lynn@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":849918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":849919,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70237771,"text":"70237771 - 2022 - Temporal mismatch in space use by a sagebrush obligate species after large-scale wildfire","interactions":[],"lastModifiedDate":"2022-10-24T13:56:00.43779","indexId":"70237771","displayToPublicDate":"2022-09-06T08:44:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Temporal mismatch in space use by a sagebrush obligate species after large-scale wildfire","docAbstract":"<p><span>The increase in size and frequency of wildfires in sagebrush steppe ecosystems has significant impacts on sagebrush obligate species. We modeled seasonal habitat use by female greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>) in the Trout Creek Mountains of Oregon and Nevada, USA, to identify landscape characteristics that influenced sage-grouse habitat selection and to create predictive surfaces of seasonal use 1 and 7 years postfire. We developed three resource selection function models using GPS location data from 2013 to 2019 for three biologically distinct seasons (breeding,&nbsp;</span><i>n</i><span>&nbsp;=&nbsp;149 individuals: 8 March–12 June; summer,&nbsp;</span><i>n</i><span>&nbsp;=&nbsp;140 individuals: 13 June–20 October; and winter,&nbsp;</span><i>n</i><span>&nbsp;=&nbsp;94 individuals: 21 October–7 March). For all seasons, by the fourth or fifth year postfire, sage-grouse selected for unburned patches more than all other burn severity patches and the use of unburned areas in comparison with burned areas increased through time. During the breeding season, sage-grouse selected for low-sagebrush (</span><i>Artemisia arbuscula</i><span>)-dominated ecosystems and areas with low biomass (normalized difference vegetation index). During summer, sage-grouse selected for areas with higher annual and perennial grasses and forb cover, and areas that had higher biomass. During winter, sage-grouse selected for areas of intact sagebrush on less rugged terrain. For the winter and breeding season, there was a positive linear relationship between annual grasses and forb cover through time. Seven years postfire (2019), the area predicted to have a high probability of use in each seasonal range decreased (breeding: 16.4%; summer: 12.2%; and winter: 4.2%), while the area predicted to have low or low-medium probability of use increased (breeding: 14.5%; summer: 22.5%; and winter: 22.8%) when compared to the first year following the wildfire (2013). Our results demonstrated a 4- to 5-year time lag before female sage-grouse adapted to a disturbed landscape began avoiding burned areas more than intact, unburned habitats. This mismatch in ecological response may imply declines in habitat availability for sage-grouse and may destabilize population vital rates. Spatially explicit models can aid in identifying priority areas for restoration efforts and conservation actions to mitigate the impacts of future disturbances.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4179","usgsCitation":"Schuyler, E.M., Hagen, C., Anthony, C.R., Foster, L.J., and Dugger, K., 2022, Temporal mismatch in space use by a sagebrush obligate species after large-scale wildfire: Ecosphere, v. 13, no. 9, e4179, 24 p., https://doi.org/10.1002/ecs2.4179.","productDescription":"e4179, 24 p.","ipdsId":"IP-128782","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"links":[{"id":446515,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4179","text":"Publisher Index 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J.","contributorId":287180,"corporation":false,"usgs":false,"family":"Foster","given":"Lee","email":"","middleInitial":"J.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":855569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":855570,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236362,"text":"70236362 - 2022 - A conceptual framework to integrate biodiversity, ecosystem function, and ecosystem service models","interactions":[],"lastModifiedDate":"2022-10-31T14:33:51.12053","indexId":"70236362","displayToPublicDate":"2022-09-05T11:06:28","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"A conceptual framework to integrate biodiversity, ecosystem function, and ecosystem service models","docAbstract":"Global biodiversity and ecosystem service models typically operate independently. Ecosystem service projections thus may be overly optimistic because they do not account for the role of biodiversity in maintaining ecological functions underpinning their provision. We review models used in recent global model intercomparison projects and develop a novel model integration framework to more fully account for the role of biodiversity in ecosystem function, a key gap for linking biodiversity changes to ecosystem services. We propose two model integration pathways. The first uses empirical data on biodiversity-ecosystem function relationships to bridge biodiversity and ecosystem function models and could currently be implemented at the global scale. We also propose a trait-based approach involving greater incorporation of biodiversity into ecosystem function models that can be applied to more systems and taxa than the first pathway. Integrating biodiversity, ecosystem function, and ecosystem service modeling will enhance development of policies to meet global sustainability goals.","language":"English","publisher":"Oxford University Press","doi":"10.1093/biosci/biac074","usgsCitation":"Weiskopf, S.R., Myers, B.J., Arce-Plata, M.I., Blanchard, J.L., Ferrier, S., Fulton, E.A., Harfoot, M., Isbell, F., Johnson, J., Mori, A.S., Weng, E., Harmáčková, Z., Londono-Murcia, M.C., Miller, B.W., Pereira, L., and Rosa, I., 2022, A conceptual framework to integrate biodiversity, ecosystem function, and ecosystem service models: BioScience, v. 72, no. 11, p. 1062-1073, https://doi.org/10.1093/biosci/biac074.","productDescription":"12 p.","startPage":"1062","endPage":"1073","ipdsId":"IP-132444","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true},{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":446523,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biac074","text":"Publisher Index Page"},{"id":406225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":850786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myers, Bonnie J.E.","contributorId":271275,"corporation":false,"usgs":false,"family":"Myers","given":"Bonnie","email":"","middleInitial":"J.E.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":850787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arce-Plata, Maria Isabel","contributorId":271276,"corporation":false,"usgs":false,"family":"Arce-Plata","given":"Maria","email":"","middleInitial":"Isabel","affiliations":[{"id":54487,"text":"University of Montreal","active":true,"usgs":false}],"preferred":false,"id":850788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blanchard, Julia L.","contributorId":271277,"corporation":false,"usgs":false,"family":"Blanchard","given":"Julia","email":"","middleInitial":"L.","affiliations":[{"id":16141,"text":"University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":850789,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferrier, Simon 0000-0001-7884-2388","orcid":"https://orcid.org/0000-0001-7884-2388","contributorId":245542,"corporation":false,"usgs":false,"family":"Ferrier","given":"Simon","email":"","affiliations":[{"id":49219,"text":"Commonwealth Scientific and Industrial Research Organisation","active":true,"usgs":false}],"preferred":false,"id":850790,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fulton, Elizabeth A.","contributorId":271278,"corporation":false,"usgs":false,"family":"Fulton","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":850791,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harfoot, Mike","contributorId":271279,"corporation":false,"usgs":false,"family":"Harfoot","given":"Mike","email":"","affiliations":[{"id":56332,"text":"UNEP WCMC","active":true,"usgs":false}],"preferred":false,"id":850792,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Isbell, Forest","contributorId":271280,"corporation":false,"usgs":false,"family":"Isbell","given":"Forest","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":850793,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Justin A.","contributorId":211868,"corporation":false,"usgs":false,"family":"Johnson","given":"Justin A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":850794,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mori, Akira S.","contributorId":271281,"corporation":false,"usgs":false,"family":"Mori","given":"Akira","email":"","middleInitial":"S.","affiliations":[{"id":49222,"text":"Yokohama National University","active":true,"usgs":false}],"preferred":false,"id":850795,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Weng, Ensheng 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Humboldt","active":true,"usgs":false}],"preferred":false,"id":850798,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":850799,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Pereira, Laura M.","contributorId":228936,"corporation":false,"usgs":false,"family":"Pereira","given":"Laura","middleInitial":"M.","affiliations":[],"preferred":false,"id":850800,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rosa, Isabel M.D.","contributorId":271282,"corporation":false,"usgs":false,"family":"Rosa","given":"Isabel M.D.","affiliations":[{"id":36207,"text":"Bangor University","active":true,"usgs":false}],"preferred":false,"id":850801,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70237051,"text":"70237051 - 2022 - New generation hyperspectral data From DESIS compared to high spatial resolution PlanetScope data for crop type classification","interactions":[],"lastModifiedDate":"2022-09-28T15:30:10.811953","indexId":"70237051","displayToPublicDate":"2022-09-05T10:25:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1942,"text":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"New generation hyperspectral data From DESIS compared to high spatial resolution PlanetScope data for crop type classification","docAbstract":"<p><span>Thoroughly investigating the characteristics of new generation hyperspectral and high spatial resolution spaceborne sensors will advance the study of agricultural crops. Therefore, we compared the performances of hyperspectral Deutsches Zentrum fur Luftund Raumfahrt- (DLR) Earth Sensing Imaging Spectrometer (DESIS) and high spatial resolution PlanetScope in classifying eight crop types in California's Central Valley during the 2020 growing season. The DESIS sensor onboard the International Space Station collects data at 235 hyperspectral narrowbands (HNB) each with 2.55 nm bandwidth from 400–1000 nm and 30 m spatial resolution. In contrast, PlanetScope Dove-R data have four multispectral broadbands (MBB) with 3–4 m spatial resolution. We obtained best classification accuracies using 14 DESIS HNB from the August 2020 image, with an overall accuracy of 85% and producer's and user's accuracies of 72–100% and 75–100%, respectively, for the eight crops. The best classification accuracies using PlanetScope data were obtained using an image mosaic pair from June and August 2020; this resulted in an overall accuracy of 79% and producer's and user's accuracies of 56–100% and 61–100%, respectively. Combining the best 14 DESIS HNB from August 2020 with the 4 PlanetScope MBB from August 2020 yielded an overall accuracy of 82% and producer's and user's accuracies of 65–100% and 60–94%, respectively. On one-to-one single date comparisons of DESIS versus PlanetScope data, the hyperspectral data always outperformed high spatial resolution data in crop type classification. Nevertheless, high spatial resolution data will remain invaluable in assessing within-field variability and crop biophysical/biochemical modeling in precision agriculture.</span></p>","language":"English","publisher":"IEEE","doi":"10.1109/JSTARS.2022.3204223","usgsCitation":"Aneece, I.P., Foley, D., Thenkabail, P., Oliphant, A., and Teluguntla, P.G., 2022, New generation hyperspectral data From DESIS compared to high spatial resolution PlanetScope data for crop type classification: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 15, p. 7846-7858, https://doi.org/10.1109/JSTARS.2022.3204223.","productDescription":"13 p.","startPage":"7846","endPage":"7858","ipdsId":"IP-140341","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":446530,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1109/jstars.2022.3204223","text":"Publisher Index Page"},{"id":435698,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XM63RK","text":"USGS data release","linkHelpText":"PlanetScope and DESIS spectral library of agricultural crops in California's Central Valley for the 2020 growing season"},{"id":407512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Aneece, Itiya P. 0000-0002-1201-5459","orcid":"https://orcid.org/0000-0002-1201-5459","contributorId":208265,"corporation":false,"usgs":true,"family":"Aneece","given":"Itiya","middleInitial":"P.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":853176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Daniel 0000-0002-2051-6325","orcid":"https://orcid.org/0000-0002-2051-6325","contributorId":208266,"corporation":false,"usgs":true,"family":"Foley","given":"Daniel","email":"","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":853177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thenkabail, Prasad 0000-0002-2182-8822","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":220239,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":853178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oliphant, Adam 0000-0001-8622-7932 aoliphant@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-7932","contributorId":192325,"corporation":false,"usgs":true,"family":"Oliphant","given":"Adam","email":"aoliphant@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":853179,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teluguntla, Pardhasaradhi G. 0000-0001-8060-9841","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":297051,"corporation":false,"usgs":true,"family":"Teluguntla","given":"Pardhasaradhi","email":"","middleInitial":"G.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":853180,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236388,"text":"70236388 - 2022 - Characterization of vegetated and ponded wetlands with implications towards coastal wetland marsh collapse","interactions":[],"lastModifiedDate":"2023-06-08T14:54:19.254192","indexId":"70236388","displayToPublicDate":"2022-09-05T10:14:05","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1198,"text":"Catena","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of vegetated and ponded wetlands with implications towards coastal wetland marsh collapse","docAbstract":"Coastal wetlands provide numerous ecosystem services; yet these ecosystems are increasingly vulnerable to climate change stressors, especially excessive flooding from sea-level rise and storm events. This study highlights the important contribution of vegetation belowground biomass to marsh stability and identifies loss of vegetation as a critical driver of marsh collapse. We investigated the shear strength of salt marshes and unvegetated interior ponds using a modified cone penetrometer along a chronosequence of wetland marsh collapse (0 to 21 + years following pond formation) to characterize changes in the structural integrity of the marsh soil. Following conversion from vegetated marsh to open water pond, the surficial soils experienced a dramatic loss in shear strength resulting from the loss of vegetation and compaction of soil pore space. The Cone Penetrometer Testing (CPT) data indicate that higher shear strength in the surficial layers of the vegetated marsh sites were never recovered, up to 21 + years following marsh collapse. Coupled with significant elevation loss from marsh collapse, additional sea-level rise, deep subsidence, and reduced sedimentation may contribute to conditions that can exceed critical flooding thresholds, making recovery from marsh collapse difficult or impossible. Therefore, characterizing mechanisms and thresholds of marsh collapse are critical for identifying those coastal marshes that are vulnerable to collapse before conversion from vegetated marsh to open water occurs.","language":"English","publisher":"Elsevier","doi":"10.1016/j.catena.2022.106547","usgsCitation":"Cadigan, J.A., Jafari, N., Stagg, C., Laurenzano, C., Harris, B.D., Meselhe, A.E., Dugas, J., and Couvillion, B., 2022, Characterization of vegetated and ponded wetlands with implications towards coastal wetland marsh collapse: Catena, v. 218, 106547, 9 p.; Data Release, https://doi.org/10.1016/j.catena.2022.106547.","productDescription":"106547, 9 p.; Data Release","ipdsId":"IP-123995","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":446532,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.catena.2022.106547","text":"Publisher Index Page"},{"id":406222,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417830,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EW3N0D"}],"country":"United States","state":"Louisiana","city":"Port Sulphur","otherGeospatial":"Gulf of Mexico, Mississippi River Deltaic Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.98626708984375,\n              29.3067588581613\n            ],\n            [\n              -89.48501586914062,\n              29.3067588581613\n            ],\n            [\n              -89.48501586914062,\n              29.54956657394792\n            ],\n            [\n              -89.98626708984375,\n              29.54956657394792\n            ],\n            [\n              -89.98626708984375,\n              29.3067588581613\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"218","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cadigan, Jack A. 0000-0002-1200-8275","orcid":"https://orcid.org/0000-0002-1200-8275","contributorId":296178,"corporation":false,"usgs":false,"family":"Cadigan","given":"Jack","email":"","middleInitial":"A.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":850851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jafari, Navid H.","contributorId":214730,"corporation":false,"usgs":false,"family":"Jafari","given":"Navid H.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":850852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stagg, Camille 0000-0002-1125-7253","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":220330,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":850853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laurenzano, Claudia 0000-0003-1406-8658","orcid":"https://orcid.org/0000-0003-1406-8658","contributorId":215853,"corporation":false,"usgs":false,"family":"Laurenzano","given":"Claudia","affiliations":[{"id":25340,"text":"Cherokee Nation Technologies","active":true,"usgs":false}],"preferred":false,"id":850854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harris, Brian D. 0000-0001-5771-1880","orcid":"https://orcid.org/0000-0001-5771-1880","contributorId":296180,"corporation":false,"usgs":false,"family":"Harris","given":"Brian","email":"","middleInitial":"D.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":850855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meselhe, Amina E.","contributorId":296186,"corporation":false,"usgs":false,"family":"Meselhe","given":"Amina","email":"","middleInitial":"E.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":850856,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dugas, Jason 0000-0001-6094-7560","orcid":"https://orcid.org/0000-0001-6094-7560","contributorId":205300,"corporation":false,"usgs":true,"family":"Dugas","given":"Jason","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":850857,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Couvillion, Brady 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":222810,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":850858,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70254732,"text":"70254732 - 2022 - Migration Mapper: Identifying movement corridors and seasonal ranges for large mammal conservation","interactions":[],"lastModifiedDate":"2024-06-07T11:59:41.137291","indexId":"70254732","displayToPublicDate":"2022-09-05T06:58:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Migration Mapper: Identifying movement corridors and seasonal ranges for large mammal conservation","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><ol class=\"\"><li>Modern tracking technology has facilitated a novel understanding of terrestrial mammal movement while revealing that movements are being truncated and lost. The first step towards conserving mobile animals is identifying movement corridors and key seasonal ranges. Yet, the identification and subsequent mapping of these important areas has remained a challenge due to the analytical skills necessary to conduct such analyses.</li><li>Migration Mapper (MM) is a user-friendly software that provides tools to analyse global positioning system (GPS) collar data to create season-specific, population-level polygons representing areas where most of a population moves (i.e. movement corridors) and areas where most of a population spends time (e.g. high-use areas, seasonal ranges).</li><li>MM consists of six standalone modules including data cleaning and review, seasonal movement delineation, movement model application, calculation of population-level outputs and visualization of results.</li><li>Analysis of GPS data using MM can provide the spatial polygons necessary to facilitate conservation and policy planning. New initiatives at the local and global levels are already beginning to use MM to facilitate conservation of large, terrestrial mammals.</li></ol></div></div>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.13976","usgsCitation":"Merkle, J., Gage, J.A., Sawyer, H., Lowrey, B., and Kauffman, M., 2022, Migration Mapper: Identifying movement corridors and seasonal ranges for large mammal conservation: Methods in Ecology and Evolution, v. 13, no. 11, p. 2397-2403, https://doi.org/10.1111/2041-210X.13976.","productDescription":"7 p.","startPage":"2397","endPage":"2403","ipdsId":"IP-144205","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":446542,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13976","text":"Publisher Index Page"},{"id":429626,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Merkle, Jerod A.","contributorId":287300,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod A.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":902381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gage, Joshua A.","contributorId":255726,"corporation":false,"usgs":false,"family":"Gage","given":"Joshua","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":902382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sawyer, Hall","contributorId":287880,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[{"id":61660,"text":"Western Ecosystems Technology, Inc., Laramie, WY","active":true,"usgs":false}],"preferred":false,"id":902383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowrey, Blake 0000-0002-4994-2117","orcid":"https://orcid.org/0000-0002-4994-2117","contributorId":289714,"corporation":false,"usgs":false,"family":"Lowrey","given":"Blake","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":902384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902385,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236721,"text":"70236721 - 2022 - Brief oil exposure reduces fitness in wild Gulf of Mexico mahi-mahi (Coryphaena hippurus)","interactions":[],"lastModifiedDate":"2022-09-28T16:51:31.82644","indexId":"70236721","displayToPublicDate":"2022-09-02T08:59:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Brief oil exposure reduces fitness in wild Gulf of Mexico mahi-mahi (<i>Coryphaena hippurus</i>)","title":"Brief oil exposure reduces fitness in wild Gulf of Mexico mahi-mahi (Coryphaena hippurus)","docAbstract":"<p><span>The&nbsp;</span><i>Deepwater Horizon</i><span>&nbsp;(DWH) disaster released 3.19 million barrels of crude oil into the Gulf of Mexico (GOM) in 2010, overlapping the habitat of pelagic fish populations. Using mahi-mahi (</span><i>Coryphaena hippurus</i><span>)─a highly migratory marine teleost present in the GOM during the spill─as a model species, laboratory experiments demonstrate injuries to physiology and behavior following oil exposure. However, more than a decade postspill, impacts on wild populations remain unknown. To address this gap, we exposed wild mahi-mahi to crude oil or control conditions onboard a research vessel, collected fin clip samples, and tagged them with electronic tags prior to release into the GOM. We demonstrate profound effects on survival and reproduction in the wild. In addition to significant changes in gene expression profiles and predation mortality, we documented altered acceleration and habitat use in the first 8 days oil-exposed individuals were at liberty as well as a cessation of apparent spawning activity for at least 37 days. These data reveal that even a brief and low-dose exposure to crude oil impairs fitness in wild mahi-mahi. These findings offer new perspectives on the lasting impacts of the DWH blowout and provide insight about the impacts of future deep-sea oil spills.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.2c01783","usgsCitation":"Schlenker, L.S., Stieglitz, J.D., Greer, J.B., Faillettaz, R., Lam, C.H., Hoenig, R.H., Heuer, R.M., McGuigan, C.J., Pasparakis, C., Esch, E.B., Menard, G.M., Jaroszewski, A.L., Paris, C.B., Schlenk, D., Benetti, D.D., and Grosell, M., 2022, Brief oil exposure reduces fitness in wild Gulf of Mexico mahi-mahi (Coryphaena hippurus): Environmental Science and Technology, v. 56, no. 18, p. 13019-13028, https://doi.org/10.1021/acs.est.2c01783.","productDescription":"10 p.","startPage":"13019","endPage":"13028","ipdsId":"IP-139408","costCenters":[{"id":654,"text":"Western Fisheries Research 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Sciences, 4600 Rickenbacker Causeway Miami, FL 33149 USA","active":true,"usgs":false}],"preferred":false,"id":851993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stieglitz, John D.","contributorId":296618,"corporation":false,"usgs":false,"family":"Stieglitz","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":64108,"text":"Department of Marine Biology and Ecology, University of Miami, Rosenstiel School of Marine and Atmospheric Sciences, 4600 Rickenbacker Causeway Miami, FL 33149 USA","active":true,"usgs":false}],"preferred":false,"id":851994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research 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,{"id":70239848,"text":"70239848 - 2022 - Bioclimatic variables dataset for baseline and future climate scenarios for climate change studies in Hawai'i","interactions":[],"lastModifiedDate":"2023-01-23T14:59:19.873812","indexId":"70239848","displayToPublicDate":"2022-09-02T08:46:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5898,"text":"Data in Brief","onlineIssn":"2352-3409","active":true,"publicationSubtype":{"id":10}},"title":"Bioclimatic variables dataset for baseline and future climate scenarios for climate change studies in Hawai'i","docAbstract":"<p><span>Gridded bioclimatic variables representing yearly, seasonal, and monthly means and extremes in temperature and precipitation have been widely used for ecological modeling purposes and in broader climate change impact and biogeographical studies. As a result of their utility, numerous sets of bioclimatic variables have been developed on a global scale (e.g., WorldClim) but rarely represent the finer regional scale pattern of climate in Hawai'i. Recognizing the value of having such regionally downscaled products, we integrated more detailed projections from recent climate models developed for Hawai'i with current climatological datasets to generate updated regionally defined bioclimatic variables. We derived updated bioclimatic variables from new projections of baseline and future monthly minimum, mean, and maximum temperature (T</span><sub>min</sub><span>, T</span><sub>mean</sub><span>, T</span><sub>max</sub><span>) and mean precipitation (P</span><sub>mean</sub><span>) data at 250 m resolution. We used the most up-to-date dynamically downscaled projections based on the Weather Research and Forecasting (WRF) model from the International Pacific Research Center (IPRC) and the National Center for Atmospheric Research (NCAR). We summarized the monthly data from these two climate projections into a suite of 19 standard bioclimatic variables that provide detailed information about annual and seasonal mean climatic conditions for the Hawaiian Islands. These bioclimatic variables are available for three climate scenarios: baseline climate (1990-2009) and future climate (2080-2099) under representative concentration pathway (RCP) 4.5 (IPRC projections only) and RCP 8.5 (both IPRC and NCAR projections) climate scenarios. The resulting dataset provides a more robust set of climate products that can be used for modeling purposes, impact studies, and management planning.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.dib.2022.108572","usgsCitation":"Fortini, L., Kaiser, L.R., Xue, L., and Wang, Y., 2022, Bioclimatic variables dataset for baseline and future climate scenarios for climate change studies in Hawai'i: Data in Brief, v. 45, 108572, 11 p., https://doi.org/10.1016/j.dib.2022.108572.","productDescription":"108572, 11 p.","ipdsId":"IP-138113","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":446553,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dib.2022.108572","text":"Publisher Index Page"},{"id":435702,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MF7SG","text":"USGS data release","linkHelpText":"Hawaiian Islands bioclimatic variables for baseline and future climate scenarios"},{"id":412214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"45","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":862133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaiser, Lauren R.","contributorId":200422,"corporation":false,"usgs":false,"family":"Kaiser","given":"Lauren","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":862134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xue, Lulin","contributorId":301129,"corporation":false,"usgs":false,"family":"Xue","given":"Lulin","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":862135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Yaping","contributorId":191943,"corporation":false,"usgs":false,"family":"Wang","given":"Yaping","email":"","affiliations":[],"preferred":false,"id":862136,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70236453,"text":"70236453 - 2022 - Exploring and mitigating plague for One Health purposes","interactions":[],"lastModifiedDate":"2023-01-18T16:08:08.339931","indexId":"70236453","displayToPublicDate":"2022-09-02T07:14:07","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12571,"text":"Current Tropical Medicine Reports","active":true,"publicationSubtype":{"id":10}},"title":"Exploring and mitigating plague for One Health purposes","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Purpose of Review</h3><p>In 2020, the Appropriations Committee for the U.S. House of Representatives directed the CDC to develop a national One Health framework to combat zoonotic diseases, including sylvatic plague, which is caused by the flea-borne bacterium<span>&nbsp;</span><i>Yersinia pestis</i>. This review builds upon that multisectoral objective. We aim to increase awareness of<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>and to highlight examples of plague mitigation for One Health purposes (i.e., to achieve optimal health outcomes for people, animals, plants, and their shared environment). We draw primarily upon examples from the USA, but also discuss research from Madagascar and Uganda where relevant, as<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>has emerged as a zoonotic threat in those foci.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Recent Findings</h3><p>Historically, the bulk of plague research has been directed at the disease in humans. This is not surprising, given that<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>is a scourge of human history. Nevertheless, the ecology of<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>is inextricably linked to other mammals and fleas under natural conditions. Accumulating evidence demonstrates<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>is an unrelenting threat to multiple ecosystems, where the bacterium is capable of significantly reducing native species abundance and diversity while altering competitive and trophic relationships, food web connections, and nutrient cycles. In doing so,<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>transforms ecosystems, causing “shifting baselines syndrome” in humans, where there is a gradual shift in the accepted norms for the condition of the natural environment. Eradication of<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>in nature is difficult to impossible, but effective mitigation is achievable; we discuss flea vector control and One Health implications in this context.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Summary</h3><p>There is an acute need to rapidly expand research on<span>&nbsp;</span><i>Y. pestis</i>, across multiple host and flea species and varied ecosystems of the Western US and abroad, for human and environmental health purposes. The fate of many wildlife species hangs in the balance, and the implications for humans are profound in some regions. Collaborative multisectoral research is needed to define the scope of the problem in each epidemiological context and to identify, refine, and implement appropriate and effective mitigation practices.</p>","language":"English","publisher":"Springer","doi":"10.1007/s40475-022-00265-6","usgsCitation":"Eads, D.A., Biggins, D.E., Wimsatt, J., Eisen, R., Hinnebusch, B.J., Matchett, M.R., Goldberg, A., Livieri, T., Hacker, G., Novak, M., Buttke, D., Grassel, S.M., Hughes-Clarke, J., and Atiku, L., 2022, Exploring and mitigating plague for One Health purposes: Current Tropical Medicine Reports, v. 9, p. 169-184, https://doi.org/10.1007/s40475-022-00265-6.","productDescription":"16 p.","startPage":"169","endPage":"184","ipdsId":"IP-136407","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":446558,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11358858","text":"External Repository"},{"id":406299,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2022-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":851035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":851036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wimsatt, Jeffrey","contributorId":173421,"corporation":false,"usgs":false,"family":"Wimsatt","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":851037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eisen, Rebecca J.","contributorId":148027,"corporation":false,"usgs":false,"family":"Eisen","given":"Rebecca J.","affiliations":[{"id":16974,"text":"US Centers for Disease Control and Prevention (CDC)","active":true,"usgs":false}],"preferred":false,"id":851038,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hinnebusch, B. Joseph","contributorId":295326,"corporation":false,"usgs":false,"family":"Hinnebusch","given":"B.","email":"","middleInitial":"Joseph","affiliations":[{"id":13450,"text":"NIH","active":true,"usgs":false}],"preferred":false,"id":851039,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matchett, Marc R.","contributorId":193409,"corporation":false,"usgs":false,"family":"Matchett","given":"Marc","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":851040,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goldberg, Amanda R.","contributorId":288043,"corporation":false,"usgs":false,"family":"Goldberg","given":"Amanda R.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":851041,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Livieri, Travis","contributorId":279912,"corporation":false,"usgs":false,"family":"Livieri","given":"Travis","affiliations":[{"id":6753,"text":"Prairie Wildlife Research","active":true,"usgs":false}],"preferred":false,"id":851042,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hacker, Gregory","contributorId":296262,"corporation":false,"usgs":false,"family":"Hacker","given":"Gregory","email":"","affiliations":[{"id":33266,"text":"California Department of Public Health","active":true,"usgs":false}],"preferred":false,"id":851043,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Novak, Mark","contributorId":45229,"corporation":false,"usgs":false,"family":"Novak","given":"Mark","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":851044,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Buttke, Danielle","contributorId":225082,"corporation":false,"usgs":false,"family":"Buttke","given":"Danielle","affiliations":[],"preferred":false,"id":851045,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Grassel, Shaun M.","contributorId":150648,"corporation":false,"usgs":false,"family":"Grassel","given":"Shaun","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":851046,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hughes-Clarke, John","contributorId":41698,"corporation":false,"usgs":false,"family":"Hughes-Clarke","given":"John","email":"","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":851047,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Atiku, Linda","contributorId":296263,"corporation":false,"usgs":false,"family":"Atiku","given":"Linda","email":"","affiliations":[{"id":64008,"text":"Uganda Virus Research Institute","active":true,"usgs":false}],"preferred":false,"id":851048,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70262472,"text":"70262472 - 2022 - Movement of white‐tailed deer in contrasting landscapes influences management of chronic wasting disease","interactions":[],"lastModifiedDate":"2025-01-22T17:54:13.753634","indexId":"70262472","displayToPublicDate":"2022-09-02T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Movement of white‐tailed deer in contrasting landscapes influences management of chronic wasting disease","docAbstract":"<p><span>Chronic wasting disease (CWD) continues to expand in distribution and prevalence across North America. Upon detection, either for the first time in a novel area or in a region with an existing outbreak, wildlife management agencies are tasked with responding to mitigate the disease. This response often entails creation or modification of a management zone with modified rules and regulations that support an agency's disease management plan. To guide the process of creating an appropriately sized CWD management zone, assuming that wild deer movements are a major risk factor for disease spread, we used data from global positioning system (GPS)-collared white-tailed deer (</span><i>Odocoileus virginianus</i><span>) in southeastern Minnesota and southcentral Pennsylvania, USA, between 2018 and 2021 to estimate long-distance movements associated with dispersal and migratory behaviors. These contrasting study areas with active CWD outbreaks permitted an evaluation of deer movement dynamics in different parts of their range. We quantified the proportion, distribution, timing, and orientation of dispersing and migratory deer. We observed 21% of female and 58% of male yearlings disperse from their apparent natal home range in Minnesota, while in Pennsylvania 4% of female and 68% of male yearlings dispersed. We also documented 20% of females and 6% of males migrated between seasonal home ranges in Minnesota, while in Pennsylvania no females and 5% of males migrated. The average distance deer dispersed or migrated in Minnesota was 20 km and 11 km, respectively, while in Pennsylvania male deer dispersed only about 4 km. Both sexes in Minnesota tended to disperse in a consistent, westerly direction; however, there was no directional preference observed for migratory deer or for dispersing deer in Pennsylvania. We found differences between natal and adult home range size for both sexes in Minnesota but not for males in Pennsylvania. Our results identify the considerable variability in dispersal and migration dynamics of white-tailed deer in disparate landscapes, which is important to agencies managing CWD. We summarize the distribution of these movements and suggest agencies use this information to help make decisions about optimal management zone size. We suggest the development of formalized assessments of the tradeoffs associated with optimizing decisions about creation of CWD management zones across white-tailed deer populations that exhibit variation in dispersal behavior and suggest careful evaluation to avoid using an arbitrary size or shape to create disease management zones.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22306","usgsCitation":"Jennelle, C., Walter, W., Crawford, J., Rosenberry, C., and Wallingford, B., 2022, Movement of white‐tailed deer in contrasting landscapes influences management of chronic wasting disease: Journal of Wildlife Management, v. 86, no. 8, e22306, 21 p., https://doi.org/10.1002/jwmg.22306.","productDescription":"e22306, 21 p.","ipdsId":"IP-136125","costCenters":[{"id":199,"text":"Coop Res Unit 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David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crawford, Joanne","contributorId":349406,"corporation":false,"usgs":false,"family":"Crawford","given":"Joanne","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":924294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Christopher S.","contributorId":349408,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher S.","affiliations":[{"id":83357,"text":"Bureau of Wildlife Management","active":true,"usgs":false}],"preferred":false,"id":924295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wallingford, Bret D.","contributorId":349410,"corporation":false,"usgs":false,"family":"Wallingford","given":"Bret D.","affiliations":[{"id":83357,"text":"Bureau of Wildlife Management","active":true,"usgs":false}],"preferred":false,"id":924296,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70245165,"text":"70245165 - 2022 - Microgravity change during the 2008-2018 Kı̄lauea summit eruption: Nearly a decade of subsurface mass accumulation","interactions":[],"lastModifiedDate":"2023-06-19T18:30:40.041096","indexId":"70245165","displayToPublicDate":"2022-09-01T13:15:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Microgravity change during the 2008-2018 Kı̄lauea summit eruption: Nearly a decade of subsurface mass accumulation","docAbstract":"<p><span>Results from nine microgravity campaigns from Kı̄lauea, Hawaiʻi, spanning most of the volcano's 2008–2018 summit eruption, indicate persistent mass accumulation at shallow levels. A weighted least squares approach is used to recover microgravity results from a network of benchmarks around Kı̄lauea's summit, eliminate instrumental drift, and restore suspected data tares. A total mass of 1.9&nbsp;×&nbsp;10</span><sup>11</sup><span>&nbsp;kg was determined from these microgravity campaigns to have accumulated below Kı̄lauea Caldera during 2009–2015 at an estimated depth of 1.3&nbsp;km below sea level. Only a fraction of this mass is reflected in surface deformation, and this is consistent with previously reported discrepancies between subsurface mass accumulation and observed surface deformation. The discrepancy, amongst other independent evidence from gas emissions, seismicity, and continuous gravimetry, indicate densification of magma in the reservoirs below the volcano summit. This densification may have been driven by degassing through the summit vent. It is hypothesized that during the final years of the summit eruption, magma densification resulted in a buildup of pressure in the reservoirs that may have contributed to the lower East Rift Zone outbreak of 2018. The observed mass accumulation beneath Kı̄lauea could not have been detected through other techniques and illustrates the importance of microgravity measurements in volcano monitoring.</span></p>","language":"English","publisher":"Wiley","doi":"10.1029/2022JB024739","usgsCitation":"Koymans, M.R., de Zeeuw-van Dalfsen, E., Evers, L.G., and Poland, M.P., 2022, Microgravity change during the 2008-2018 Kı̄lauea summit eruption: Nearly a decade of subsurface mass accumulation: Journal of Geophysical Research B: Solid Earth, v. 127, no. 9, e2022JB024739, 21 p., https://doi.org/10.1029/2022JB024739.","productDescription":"e2022JB024739, 21 p.","ipdsId":"IP-141029","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":446563,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2022jb024739","text":"External Repository"},{"id":418224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Mount Kı̄lauea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.26044895266855,\n              19.401938903406503\n            ],\n            [\n              -155.25103570167443,\n              19.40864710547018\n            ],\n            [\n              -155.24852550140935,\n              19.418117037297506\n            ],\n            [\n              -155.2541734520058,\n              19.422851796330775\n            ],\n            [\n              -155.25772956904805,\n              19.429756405950712\n            ],\n            [\n              -155.2677703701083,\n              19.432123633120014\n            ],\n            [\n              -155.27467342083736,\n              19.43370176539787\n            ],\n            [\n              -155.28157647156624,\n              19.43015094620857\n            ],\n            [\n              -155.287851972229,\n              19.423049074962933\n            ],\n            [\n              -155.29852032335577,\n              19.41713061180343\n            ],\n            [\n              -155.29998460684362,\n              19.409633582437138\n            ],\n            [\n              -155.29517338966895,\n              19.398979314550886\n            ],\n            [\n              -155.28576013867482,\n              19.395427736863837\n            ],\n            [\n              -155.27069893708423,\n              19.395427736863837\n            ],\n            [\n              -155.26044895266855,\n              19.401938903406503\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"127","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Koymans, Mathijs R.","contributorId":236675,"corporation":false,"usgs":false,"family":"Koymans","given":"Mathijs","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":875727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Zeeuw-van Dalfsen, Elske 0000-0003-2527-4932","orcid":"https://orcid.org/0000-0003-2527-4932","contributorId":217967,"corporation":false,"usgs":false,"family":"de Zeeuw-van Dalfsen","given":"Elske","email":"","affiliations":[{"id":39727,"text":"KNMI","active":true,"usgs":false}],"preferred":false,"id":875728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evers, Laslo G.","contributorId":310458,"corporation":false,"usgs":false,"family":"Evers","given":"Laslo","email":"","middleInitial":"G.","affiliations":[{"id":39727,"text":"KNMI","active":true,"usgs":false}],"preferred":false,"id":875729,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":875730,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70238578,"text":"70238578 - 2022 - Advancing geophysical techniques to image a stratigraphic hydrothermal resource","interactions":[],"lastModifiedDate":"2022-11-30T17:25:35.358802","indexId":"70238578","displayToPublicDate":"2022-09-01T11:18:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1827,"text":"Geothermal Resources Council Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Advancing geophysical techniques to image a stratigraphic hydrothermal resource","docAbstract":"Sedimentary-hosted geothermal energy systems are permeable structural, structural-stratigraphic, and/or stratigraphic horizons with sufficient temperature for direct use and/or electricity generation. Sedimentary-hosted (i.e., stratigraphic) geothermal reservoirs may be present in multiple locations across the central and eastern Great Basin of the USA, thereby constituting a potentially large base of untapped, economically accessible energy resources. Sandia National Laboratories has partnered with a multi-disciplinary group of collaborators to evaluate a stratigraphic system in Steptoe Valley, Nevada using both established and novel geophysical imaging techniques. The goal of this study is to inform an optimized strategy for subsequent exploration and development of this and analogous resources. Building from prior Nevada Play Fairway Analysis (PFA), this team is primarily 1) collecting additional geophysical data, 2) employing novel joint geophysical inversion/modeling techniques to update existing 3D geologic models, and 3) integrating the geophysical results to produce a working, geologically constrained thermo-hydrological reservoir model. Prior PFA work highlights Steptoe Valley as a favorable resource basin that likely has both sedimentary and hydrothermal characteristics. However, there remains significant uncertainty on the nature and architecture of the resource(s) at depth, which increases the risk in exploratory drilling. Newly acquired gravity, magnetic, magnetotelluric, and controlled-source electromagnetic data, in conjunction with new and preceding geoscientific measurements and observations, are being integrated and evaluated in this study for efficacy in understanding stratigraphic geothermal resources and mitigating exploration risk. Furthermore, the influence of hydrothermal activity on sedimentary-hosted reservoirs in favorable structural settings (i.e., whether fault-controlled systems may locally enhance temperature and permeability in some deep stratigraphic reservoirs) will also be evaluated. This paper provides details and current updates on the course of this study in-progress.","language":"English","publisher":"Geothermal Rising","usgsCitation":"Schwering, P., Winn, C., Jaysaval, P., Knox, H., Siler, D.L., Hardwick, C., Ayling, B., Faulds, J., Mlawsky, E., McConville, E., Norbeck, J., Hinz, N., Matson, G., and Queen, J., 2022, Advancing geophysical techniques to image a stratigraphic hydrothermal resource: Geothermal Resources Council Transactions, v. 46, p. 976-991.","productDescription":"16 p.","startPage":"976","endPage":"991","ipdsId":"IP-141659","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":409862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":409843,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1034650","linkFileType":{"id":5,"text":"html"}}],"volume":"46","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schwering, Paul","contributorId":299507,"corporation":false,"usgs":false,"family":"Schwering","given":"Paul","email":"","affiliations":[{"id":34829,"text":"Sandia National Laboratories","active":true,"usgs":false}],"preferred":false,"id":857964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winn, Carmen","contributorId":299508,"corporation":false,"usgs":false,"family":"Winn","given":"Carmen","email":"","affiliations":[{"id":34829,"text":"Sandia National Laboratories","active":true,"usgs":false}],"preferred":false,"id":857965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaysaval, Piyoosh","contributorId":299509,"corporation":false,"usgs":false,"family":"Jaysaval","given":"Piyoosh","email":"","affiliations":[{"id":38914,"text":"Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":857966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knox, Hunter","contributorId":299510,"corporation":false,"usgs":false,"family":"Knox","given":"Hunter","email":"","affiliations":[{"id":38914,"text":"Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":857967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Siler, Drew L. 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":203341,"corporation":false,"usgs":true,"family":"Siler","given":"Drew","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":857968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hardwick, Christian","contributorId":299511,"corporation":false,"usgs":false,"family":"Hardwick","given":"Christian","affiliations":[{"id":17626,"text":"Utah Geological Survey","active":true,"usgs":false}],"preferred":false,"id":857969,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ayling, Bridget","contributorId":299512,"corporation":false,"usgs":false,"family":"Ayling","given":"Bridget","affiliations":[{"id":64865,"text":"Great Basin Center for Geothermal Energy; Nevada Bureau of Mines and Geology; University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":857970,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Faulds, James","contributorId":299513,"corporation":false,"usgs":false,"family":"Faulds","given":"James","affiliations":[{"id":64865,"text":"Great Basin Center for Geothermal Energy; Nevada Bureau of Mines and Geology; University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":857971,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mlawsky, Elijah","contributorId":299515,"corporation":false,"usgs":false,"family":"Mlawsky","given":"Elijah","email":"","affiliations":[{"id":64865,"text":"Great Basin Center for Geothermal Energy; Nevada Bureau of Mines and Geology; University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":857972,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McConville, Emma","contributorId":299518,"corporation":false,"usgs":false,"family":"McConville","given":"Emma","email":"","affiliations":[{"id":51825,"text":"Fervo Energy","active":true,"usgs":false}],"preferred":false,"id":857973,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Norbeck, Jack","contributorId":299519,"corporation":false,"usgs":false,"family":"Norbeck","given":"Jack","affiliations":[{"id":51825,"text":"Fervo Energy","active":true,"usgs":false}],"preferred":false,"id":857974,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hinz, Nicholas","contributorId":299524,"corporation":false,"usgs":false,"family":"Hinz","given":"Nicholas","affiliations":[{"id":64866,"text":"Geologica Geothermal Group, Inc","active":true,"usgs":false}],"preferred":false,"id":857975,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Matson, Gabe","contributorId":299527,"corporation":false,"usgs":false,"family":"Matson","given":"Gabe","email":"","affiliations":[{"id":64866,"text":"Geologica Geothermal Group, Inc","active":true,"usgs":false}],"preferred":false,"id":857976,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Queen, John","contributorId":299529,"corporation":false,"usgs":false,"family":"Queen","given":"John","affiliations":[{"id":47634,"text":"Hi-Q Geophysical, Inc.","active":true,"usgs":false}],"preferred":false,"id":857977,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70237014,"text":"70237014 - 2022 - Great Lakes spatial priorities study","interactions":[],"lastModifiedDate":"2022-09-28T16:23:24.798526","indexId":"70237014","displayToPublicDate":"2022-09-01T11:17:12","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5134,"text":"NOAA Technical Memorandum","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NOS CS 51","title":"Great Lakes spatial priorities study","docAbstract":"<p>Spatial data about the bathymetry, habitat characteristics, underlying geology, and other features of the ocean and inland seas are essential for decision-making. Marine research and management organizations use these data to help ensure safe navigation, promote sustainable fisheries, extract energy, and protect marine habitats in the coastal and ocean waters of the U.S. Exclusive Economic Zone (EEZ) and Laurentian Great Lakes. Many of these organizations may have overlapping or shared mapping interests without knowing it. </p><p>In a multi-jurisdictional planning environment, it can be challenging and cumbersome to determine where other entities have shared or overlapping mapping interests, especially across a transnational region such as the Great Lakes. State and provincial governments, federal governments, academia, tribes and First Nations, and other stakeholders from both the U.S. and Canada all have mapping interests across Great Lakes waters. Identifying and communicating target geographies for new data collection that are shared among multiple organizations can both help to avoid redundancy of new mapping efforts, and create opportunities for greater efficiency through collaboration. </p><p>To address this issue, a spatial priorities study was conducted using a geospatial tool developed by the National Ocean Services National Centers for Coastal and Ocean Science (NCCOS). The tool provided an easy-to-use online interface in which programs can identify their priorities in a simple and straightforward way. This study asked representatives of Great Lakes management and science organizations to identify the areas for which they needed maps of lakebed features on a near-term, mid-term, and long-term timeframe, and why. Then, the responses were analyzed and overlaid to determine areas of shared mapping need and opportunity and to determine the types of map products needed. </p><p>The analysis revealed high interest among multiple organizations in discrete geographies including the Minnesota and Wisconsin shoreline from Duluth to the eastern extent of the Bayfield Peninsula, Green Bay in Lake Michigan, and the southern coastlines of Lake Erie and Lake Ontario, the St. Marys River, and the northern Lake Superior coastal waters near Grand Portage, MN. Lower priority mapping interest were distributed widely across all lakes, but tended to be concentrated in nearshore areas (&lt;30 m depth). </p><p>The analysis also indicated that the top mapping justifications were Habitat/biota/natural area, Benthic exploration, Commercial and recreational fishing, and Scientific research. The top desired map product types were Elevation, Substrate/sub-bottom geologic characterization, and Habitat map/characterization, although participants on some lakes noted other less prevalent product types. </p><p>Following from previously conducted NOAA and non-NOAA Federal spatial prioritization exercises, the results of this regional focus can help mapping organizations better understand how their priorities align with the needs of regional organizations, allow for more efficient coordination and funding, and enable partners to leverage assets and resources to fill their most pressing data and information gaps across Great Lakes waters. The U.S. Mapping Coordination Site hosts the results of this study and other spatial prioritization studies. Through this website, one can interact with the study results along with recent and planned mapping efforts. </p><p>NOAA intends to update their spatial priorities on a three- to five-year basis. Future studies should strive to expand participation of federal agencies, state and local governments, federally-recognized tribes, academia, and private industry (among other stakeholders) to seek out ocean mapping partnerships in conjunction with the National Ocean Mapping, Exploration and Characterization (NOMEC) goals map once, use many times.”</p>","language":"English","publisher":"National Oceanic and Atmospheric Administration","doi":"10.25923/4dzh-wh46","usgsCitation":"Gouws, K., Chappell, A., Westington, M., Yung, C., Esselman, P., Brinks, L., Kearns, T., Zhang, X., Buja, K., and Krumwiede, B., 2022, Great Lakes spatial priorities study: NOAA Technical Memorandum NOS CS 51, viii, 40 p., https://doi.org/10.25923/4dzh-wh46.","productDescription":"viii, 40 p.","ipdsId":"IP-132029","costCenters":[{"id":324,"text":"Great Lakes Science 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Linden","contributorId":297011,"corporation":false,"usgs":false,"family":"Brinks","given":"Linden","email":"","affiliations":[{"id":64275,"text":"GLOS","active":true,"usgs":false}],"preferred":false,"id":853080,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kearns, Timothy","contributorId":242948,"corporation":false,"usgs":false,"family":"Kearns","given":"Timothy","email":"","affiliations":[],"preferred":false,"id":853198,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhang, Xiaofan","contributorId":297012,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiaofan","email":"","affiliations":[{"id":64275,"text":"GLOS","active":true,"usgs":false}],"preferred":false,"id":853081,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Krumwiede, Brandon","contributorId":297013,"corporation":false,"usgs":false,"family":"Krumwiede","given":"Brandon","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":853082,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Buja, Ken","contributorId":297014,"corporation":false,"usgs":false,"family":"Buja","given":"Ken","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":853083,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70245163,"text":"70245163 - 2022 - The centenary of IAVCEI 1919–2019 and beyond: The people, places, and things of volcano geodesy","interactions":[],"lastModifiedDate":"2023-06-19T16:06:57.613709","indexId":"70245163","displayToPublicDate":"2022-09-01T10:56:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"The centenary of IAVCEI 1919–2019 and beyond: The people, places, and things of volcano geodesy","docAbstract":"<p><span>Over the first century of the International Association of Volcanology and Chemistry of the Earth’s Interior (IAVCEI), volcano geodesy grew from roots as an accidental and incidental system of measurements to an important method for monitoring volcanic activity and forecasting eruptions. The first practitioners in volcano geodesy were experts in other disciplines, and it was not until the latter half of the twentieth century that specialists in the field emerged—scientists who developed new methods, measured geodetic change at volcanoes, and quantitatively interpreted the results in terms of magmatic processes. Much of the early work in the field was restricted to a few volcanoes and involved techniques that had been adapted from other applications; relatively few methods were developed specifically for use on volcanoes. These volcanoes, however, provided the natural laboratories needed to advance the field. By the start of the twenty-first century, geodetic studies, especially using space-based techniques, contributed to the recognition of deformation and gravity change at hundreds of volcanoes on Earth. In coming years, IAVCEI researchers will focus on comprehensive exploitation of the growing volumes of geodetic data to better model, forecast, and track activity at volcanoes worldwide. Meanwhile, the field needs to become more diverse, better representing people who live in the shadows of volcanoes around the globe.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00445-022-01598-w","usgsCitation":"Poland, M.P., and de Zeeuw-van Dalfsen, E., 2022, The centenary of IAVCEI 1919–2019 and beyond: The people, places, and things of volcano geodesy: Bulletin of Volcanology, v. 84, 90, 23 p., https://doi.org/10.1007/s00445-022-01598-w.","productDescription":"90, 23 p.","ipdsId":"IP-138073","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":418215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","noUsgsAuthors":false,"publicationDate":"2022-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":875725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Zeeuw-van Dalfsen, Elske 0000-0003-2527-4932","orcid":"https://orcid.org/0000-0003-2527-4932","contributorId":217967,"corporation":false,"usgs":false,"family":"de Zeeuw-van Dalfsen","given":"Elske","email":"","affiliations":[{"id":39727,"text":"KNMI","active":true,"usgs":false}],"preferred":false,"id":875726,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70256750,"text":"70256750 - 2022 - Seasonal context of bristly cave crayfish Cambarus setosus habitat use and life history","interactions":[],"lastModifiedDate":"2024-09-04T15:39:26.083626","indexId":"70256750","displayToPublicDate":"2022-09-01T10:33:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2201,"text":"Journal of Cave and Karst Studies","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal context of bristly cave crayfish Cambarus setosus habitat use and life history","docAbstract":"<p>Cave crayfishes are important members of groundwater communities, but many cave crayfishes are threatened or endangered. Unfortunately, we lack basic life history and ecological data that are needed for developing conservation plans for most cave crayfishes, especially the role of seasonal and annual fluctuations in structuring populations. Therefore, we determined the seasonal life history and habitat use of <i>Cambarus setosus</i> in Smallin Civil War Cave, Christian County, Missouri, United States. We conducted visual crayfish surveys over a 400 m section of the cave from 2006 to 2019. We used multinomial logit, multiple linear regression, and logistic regression models to estimate crayfish substrate, water depth, and water velocity use, respectively. All models included sex, carapace length, season, distance into the cave, and interactions between all variables and sex as predictor terms. We also used t-tests to assess morphometric differences between male and female crayfish. Six mark-recapture events (2010 to 2019) were used to estimate population sizes using a nil-recapture model. We attempted to age eight individuals using gastric mill bands, but annual bands were not discernable. We found reproductively active males during all seasons. We captured one ovigerous female during the spring, though ovigerous females were observed during show cave tours during spring, summer, and autumn. Male <i>C. setosus</i> were more likely to use homogenous and heterogeneous rock substrates and shallower and calmer water when compared to females; however, these relationships varied based on distance into the cave and season. Females sampled were significantly larger than males, and males regenerated chelae more often. Minimum population size estimates ranged from 9 to 159 individuals and indicated the population was relatively stable. Our data provide both a baseline population estimate for comparison with future studies and valuable trait information that is often lacking but useful for developing conservation efforts. </p>","language":"English","publisher":"National Speleological Society","doi":"10.4311/2021LSC0110","usgsCitation":"Mouser, J., Ashley, D., Zenter, D., and Brewer, S.K., 2022, Seasonal context of bristly cave crayfish Cambarus setosus habitat use and life history: Journal of Cave and Karst Studies, v. 84, no. 3, p. 85-95, https://doi.org/10.4311/2021LSC0110.","productDescription":"11 p.","startPage":"85","endPage":"95","ipdsId":"IP-127872","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":446569,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.4311/2021lsc0110","text":"Publisher Index Page"},{"id":433451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","county":"Christian County","otherGeospatial":"Smallin Civil War Cave","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.18894102326013,\n              37.05222350256189\n            ],\n            [\n              -93.18894102326013,\n              37.04918995811687\n            ],\n            [\n              -93.18586955215672,\n              37.04918995811687\n            ],\n            [\n              -93.18586955215672,\n              37.05222350256189\n            ],\n            [\n              -93.18894102326013,\n              37.05222350256189\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"84","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mouser, J.B.","contributorId":244447,"corporation":false,"usgs":false,"family":"Mouser","given":"J.B.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":908855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashley, D.C.","contributorId":244487,"corporation":false,"usgs":false,"family":"Ashley","given":"D.C.","email":"","affiliations":[{"id":48915,"text":"Missouri Western State University","active":true,"usgs":false}],"preferred":false,"id":908856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zenter, D.L.","contributorId":341751,"corporation":false,"usgs":false,"family":"Zenter","given":"D.L.","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":908857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908858,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70233185,"text":"70233185 - 2022 - Basis for technical guidance to evaluate evapotranspiration covers","interactions":[],"lastModifiedDate":"2022-12-12T15:58:40.79318","indexId":"70233185","displayToPublicDate":"2022-09-01T09:55:22","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"NUREG/CR-7297","title":"Basis for technical guidance to evaluate evapotranspiration covers","docAbstract":"This report provides technical guidance to evaluate evapotranspiration (ET) cover design criteria with emphasis on applications to long-term disposal sites such as Uranium Mill Tailings Radiation Control Act of 1978 (UMTRCA) sites. Water balance covers, also known as ET covers, reduce percolation by storing precipitation then allowing vegetation to cycle it back to the atmosphere. For long-term (over 200 years) waste isolation, ET covers may provide significant benefits over conventional, resistive covers that rely on engineered components, such as compacted clay barriers and geomembranes, to divert precipitation. UMTRCA covers were designed to impede and attenuate radioactive radon-222 gas flux from the underlying tailings, while minimizing percolation of any contaminants to groundwater. Such covers have implicit regulatory compliance post-construction. Alternative cover systems, such as ET covers, must explicitly meet some anticipated performance, and demonstrate beneficial use. While all engineered structures will change over time, an ET cover evolves with nature rather than resisting it, which may perpetuate a more reliable waste isolation system. For example, UMTRCA sites must provide safe and environmentally sound disposal, long-term stabilization, and control of uranium mill tailings and remain effective for up to 1,000 years, to the extent reasonably achievable, and, in any case, for at least 200 years. UMTRCA covers rely on the engineered properties to meet regulatory requirements during and immediately after construction. Subsequent compliance is implicit in the design. The design of an ET cover is far more dependent on mesoscale meteorology, native vegetation, and edaphic soil properties which are site-specific. Therefore, the design and anticipated performance of an ET cover must be demonstrated through a combination of modeling, natural analogues and pilot studies, and then verified with monitoring data. There is no single ET cover design that can likely meet performance standards across different climates, available soils, and vegetation. The technical information presented in this report reviews guidelines and performance criteria commonly used for ET covers at municipal waste facilities and the consideration factors of such covers to meet the regulatory requirements at long-term disposal sites.","language":"English","publisher":"U.S. Nuclear Regulatory Commission","usgsCitation":"Caldwell, T., Huntington, J., Davies, G.E., Tabatabai, S., and Fuhrmann, M., 2022, Basis for technical guidance to evaluate evapotranspiration covers, 127 p.","productDescription":"127 p.","ipdsId":"IP-120445","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":410286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":403886,"type":{"id":15,"text":"Index Page"},"url":"https://www.nrc.gov/reading-rm/doc-collections/nuregs/contract/cr7297/index.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Caldwell, Todd 0000-0003-4068-0648","orcid":"https://orcid.org/0000-0003-4068-0648","contributorId":217924,"corporation":false,"usgs":true,"family":"Caldwell","given":"Todd","email":"","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huntington, Jena 0000-0002-9291-1404","orcid":"https://orcid.org/0000-0002-9291-1404","contributorId":204033,"corporation":false,"usgs":true,"family":"Huntington","given":"Jena","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davies, Gwendolyn Elizabeth 0000-0003-1538-8610","orcid":"https://orcid.org/0000-0003-1538-8610","contributorId":293203,"corporation":false,"usgs":true,"family":"Davies","given":"Gwendolyn","email":"","middleInitial":"Elizabeth","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tabatabai, S.","contributorId":293205,"corporation":false,"usgs":false,"family":"Tabatabai","given":"S.","affiliations":[{"id":12536,"text":"U.S. Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":846719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuhrmann, M.","contributorId":138800,"corporation":false,"usgs":false,"family":"Fuhrmann","given":"M.","affiliations":[{"id":12528,"text":"US Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":846720,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236341,"text":"70236341 - 2022 - Comparing root cohesion estimates from three models at a shallow landslide in the Oregon Coast Range","interactions":[],"lastModifiedDate":"2022-09-02T14:17:32.925032","indexId":"70236341","displayToPublicDate":"2022-09-01T09:13:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12565,"text":"GeoHazards","active":true,"publicationSubtype":{"id":10}},"title":"Comparing root cohesion estimates from three models at a shallow landslide in the Oregon Coast Range","docAbstract":"<p><span>Although accurate root cohesion model estimates are essential to quantify the effect of vegetation roots on shallow slope stability, few means exist to independently validate such model outputs. One validation approach for cohesion estimates is back-calculation of apparent root cohesion at a landslide site with well-documented failure conditions. The catchment named CB1, near Coos Bay, Oregon, USA, which experienced a shallow landslide in 1996, is a prime locality for cohesion model validation, as an abundance of data and observations from the site generated broad insights related to hillslope hydrology and slope stability. However, previously published root cohesion values at CB1 used the Wu and Waldron model (WWM), which assumes simultaneous root failure and therefore likely overestimates root cohesion. Reassessing published cohesion estimates from this site is warranted, as more recently developed models include the fiber bundle model (FBM), which simulates progressive failure with load redistribution, and the root bundle model-Weibull (RBMw), which accounts for differential strain loading. We applied the WWM, FBM, and RBMw at CB1 using post-failure root data from five vegetation species. At CB1, the FBM and RBMw predict values that are less than 30% of the WWM-estimated values. All three models show that root cohesion has substantial spatial heterogeneity. Most parts of the landslide scarp have little root cohesion, with areas of high cohesion concentrated near plant roots. These findings underscore the importance of using physically realistic models and considering lateral and vertical spatial heterogeneity of root cohesion in shallow landslide initiation and provide a necessary step towards independently assessing root cohesion model validity.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/geohazards3030022","usgsCitation":"Cronkite-Ratcliff, C., Schmidt, K.M., and Wirion, C., 2022, Comparing root cohesion estimates from three models at a shallow landslide in the Oregon Coast Range: GeoHazards, v. 3, no. 3, p. 428-451, https://doi.org/10.3390/geohazards3030022.","productDescription":"24 p.","startPage":"428","endPage":"451","ipdsId":"IP-133079","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":446579,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/geohazards3030022","text":"Publisher Index Page"},{"id":406136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","city":"Coos Bay","otherGeospatial":"Coast Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.56298828125001,\n              43.14909399920127\n            ],\n            [\n              -123.50830078125,\n              43.14909399920127\n            ],\n            [\n              -123.50830078125,\n              43.75522505306928\n            ],\n            [\n              -124.56298828125001,\n              43.75522505306928\n            ],\n            [\n              -124.56298828125001,\n              43.14909399920127\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Cronkite-Ratcliff, Collin 0000-0001-5485-3832 ccronkite-ratcliff@usgs.gov","orcid":"https://orcid.org/0000-0001-5485-3832","contributorId":203951,"corporation":false,"usgs":true,"family":"Cronkite-Ratcliff","given":"Collin","email":"ccronkite-ratcliff@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Kevin M. 0000-0003-2365-8035 kschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":1985,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kevin","email":"kschmidt@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wirion, Charlotte 0000-0003-0721-3036","orcid":"https://orcid.org/0000-0003-0721-3036","contributorId":296101,"corporation":false,"usgs":false,"family":"Wirion","given":"Charlotte","email":"","affiliations":[{"id":63984,"text":"ETH Zurich, Switzerland (now at WEO, Luxembourg)","active":true,"usgs":false}],"preferred":false,"id":850666,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70256644,"text":"70256644 - 2022 - Seabird vulnerability to oil: Exposure potential, sensitivity, and uncertainty in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2024-08-29T14:09:34.922004","indexId":"70256644","displayToPublicDate":"2022-09-01T09:02:56","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Seabird vulnerability to oil: Exposure potential, sensitivity, and uncertainty in the northern Gulf of Mexico","docAbstract":"<p><span>The northern Gulf of Mexico (nGoM) is a globally important region for oil extraction and supports a diverse assemblage of marine birds. Due to their frequent contact with surface waters, diverse foraging strategies, and the ease with which oil adheres to feathers, seabirds are particularly susceptible to hydrocarbon contamination. Given the chronic and acute exposure of seabirds to oiling and a lack of studies that focus on the exposure of seabirds to oiling in sub-tropical and tropical regions, a greater understanding of the vulnerability of seabirds to oil in the nGoM appears warranted. We present an oil vulnerability index for seabirds in the nGoM tailored to the current state of knowledge using new, spatiotemporally expensive vessel-based seabird observations. We use information on the exposure and sensitivity of seabirds to oil to rank seabird vulnerability. Exposure variables characterized the potential to encounter oil and gas (O&amp;G). Sensitivity variables characterized the potential impact of seabirds interacting with O&amp;G and are related to life history and productivity. We also incorporated uncertainty in each variable, identifying data gaps. We found that the percent of seabirds’ habitat defined as highly suitable within 10&nbsp;km of an O&amp;G platform ranged from 0%-65% among 24 species. Though O&amp;G platforms only overlap with 15% of highly suitable seabird habitat, overlap occurs in areas of moderate to high vulnerability of seabirds, particularly along the shelf-slope. Productivity-associated sensitivity variables were primarily responsible for creating the gradient in vulnerability scores and had greater uncertainty than exposure variables. Highly vulnerable species (e.g., Northern gannet (</span><i>Morus bassanus</i><span>)) tended to have high exposure to the water surface&nbsp;</span><i>via</i><span>&nbsp;foraging behaviors (e.g., plunge-diving), older age at first breeding, and an extended incubating and fledging period compared to less vulnerable species (e.g., Pomarine jaeger (</span><i>Stercorarius pomarinus</i><span>)). Uncertainty related to productivity could be reduced through at-colony monitoring. Strategic seabird satellite tagging could help target monitoring efforts to colonies known to use the nGoM, and continued vessel-based observations could improve habitat characterization. As offshore energy development in the nGoM continues, managers and researchers could use these vulnerability ranks to identify information gaps to prioritize research and focal species.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2022.880750","usgsCitation":"Michael, P.E., Hixson, K.M., Haney, J., Satge, Y., Gleason, J., and Jodice, P.G., 2022, Seabird vulnerability to oil: Exposure potential, sensitivity, and uncertainty in the northern Gulf of Mexico: Frontiers in Marine Science, v. 9, 880750, 20 p., https://doi.org/10.3389/fmars.2022.880750.","productDescription":"880750, 20 p.","ipdsId":"IP-136731","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":446580,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2022.880750","text":"Publisher Index Page"},{"id":433301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"northern Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.65064732144825,\n              24.16865530700734\n            ],\n            [\n              -80.74028091647656,\n              24.49674089923498\n            ],\n            [\n              -80.6110475132637,\n              25.375716312633244\n            ],\n            [\n              -82.48124501487644,\n              27.87595132514076\n            ],\n            [\n              -82.50401354053463,\n              28.975470074471573\n            ],\n            [\n              -84.01377542803263,\n              30.278116834370664\n            ],\n            [\n              -85.21105352771927,\n              29.813919882762193\n            ],\n            [\n              -86.41030861654544,\n              30.53771106924384\n            ],\n            [\n              -88.05949534476994,\n              30.614388650912403\n            ],\n            [\n              -89.250977846713,\n              30.128789114669402\n            ],\n            [\n              -88.84045762268858,\n              28.94436305824601\n            ],\n            [\n              -90.45644421555457,\n              29.213975074748845\n            ],\n            [\n              -91.6391457751865,\n              29.567867845383958\n            ],\n            [\n              -92.61153919455367,\n              29.52398569897167\n            ],\n            [\n              -94.15861129214014,\n              29.615060750195013\n            ],\n            [\n              -95.85111266718562,\n              28.497269906948034\n            ],\n            [\n              -97.05244440317941,\n              27.930797727982196\n            ],\n            [\n              -97.4997935110664,\n              26.841188159759383\n            ],\n            [\n              -97.23172322974906,\n              26.093166420472286\n            ],\n            [\n              -86.07549373074224,\n              26.17610757333493\n            ],\n            [\n              -85.31650372657558,\n              24.614391708025977\n            ],\n            [\n              -83.65064732144825,\n              24.16865530700734\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2022-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Michael, Pamela E.","contributorId":341457,"corporation":false,"usgs":false,"family":"Michael","given":"Pamela","email":"","middleInitial":"E.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":908453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hixson, K. M.","contributorId":341458,"corporation":false,"usgs":false,"family":"Hixson","given":"K.","email":"","middleInitial":"M.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":908454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haney, J.C.","contributorId":288019,"corporation":false,"usgs":false,"family":"Haney","given":"J.C.","email":"","affiliations":[{"id":61685,"text":"Terra Mar Applied Sciences","active":true,"usgs":false}],"preferred":false,"id":908455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Satge, Y.G.","contributorId":279816,"corporation":false,"usgs":false,"family":"Satge","given":"Y.G.","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":908456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gleason, J.S.","contributorId":288017,"corporation":false,"usgs":false,"family":"Gleason","given":"J.S.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":908457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908458,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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