{"pageNumber":"518","pageRowStart":"12925","pageSize":"25","recordCount":165947,"records":[{"id":70248345,"text":"70248345 - 2021 - First record and diet of the tricolored bat (Perimyotis subflavus) from Guadalupe National Park and Culberson County, Texas","interactions":[],"lastModifiedDate":"2023-09-08T11:41:53.51674","indexId":"70248345","displayToPublicDate":"2021-03-31T06:38:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"First record and diet of the tricolored bat (Perimyotis subflavus) from Guadalupe National Park and Culberson County, Texas","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">The tri-colored bat (<i>Perimyotis subflavus</i>) occurs throughout the eastern United States, from Canada to south Florida and westward to eastern New Mexico, central Colorado, and western Texas. In this study, we document the first record of<span>&nbsp;</span><i>P</i>.<span>&nbsp;</span><i>subflavus</i><span>&nbsp;</span>for both Guadalupe Mountains National Park and Culberson County, Texas. Our record extends the range of<span>&nbsp;</span><i>P. subflavus</i><span>&nbsp;</span>into the Trans-Pecos region of Texas. We also examined the diet of this individual and observed that it consisted of Lepidoptera, Coleoptera, and Hemiptera. Our observations of the diet of<span>&nbsp;</span><i>P. subflavus</i><span>&nbsp;</span>correspond with results of previous studies from more eastern portions of the species' range.</p></div></div>","language":"English","publisher":"Western North American Naturalist","doi":"10.3398/064.081.0111","usgsCitation":"Hanttula, M.K., and Valdez, E.W., 2021, First record and diet of the tricolored bat (Perimyotis subflavus) from Guadalupe National Park and Culberson County, Texas: Western North American Naturalist, v. 81, no. 1, p. 131-134, https://doi.org/10.3398/064.081.0111.","productDescription":"4 p.","startPage":"131","endPage":"134","ipdsId":"IP-116804","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":503835,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zotero.org/groups/5435545/items/IBGIFILJ","text":"External Repository"},{"id":420650,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Culberson County","otherGeospatial":"Guadalupe National Park","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.9201,32.0029],[-104.9115,32.0029],[-104.8612,32.003],[-104.8466,32.0031],[-104.8299,32.0031],[-104.7467,32.0032],[-104.7313,32.0032],[-104.4014,32.0024],[-104.1475,32.0017],[-104.0617,32.0012],[-104.0282,32.001],[-104.0265,32.001],[-104.1024,31.1049],[-104.2529,31.0284],[-104.6791,30.8026],[-104.9141,30.6647],[-104.9131,30.8121],[-104.9036,30.813],[-104.9022,30.9224],[-104.9034,30.9791],[-104.9141,30.9791],[-104.9168,31.359],[-104.919,31.8541],[-104.9201,32.0029]]]},\"properties\":{\"name\":\"Culberson\",\"state\":\"TX\"}}]}","volume":"81","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hanttula, Mollie K","contributorId":236941,"corporation":false,"usgs":false,"family":"Hanttula","given":"Mollie","email":"","middleInitial":"K","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":882638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70219174,"text":"fs20213017 - 2021 - Texas and Landsat","interactions":[],"lastModifiedDate":"2025-03-20T14:26:43.368165","indexId":"fs20213017","displayToPublicDate":"2021-03-30T10:39:13","publicationYear":"2021","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":"2021-3017","displayTitle":"Texas and Landsat","title":"Texas and Landsat","docAbstract":"<p>The State of Texas has the largest land area of any in the contiguous United States, and its sprawling landscapes show rich geographic diversity. The Lone Star State has cactus flats in the high plains of its far western panhandle, rolling hills in its western Trans-Pecos region, farms and ranchlands stretching across central Texas, thick forests and swamplands spread through the east, and 3,359 miles of Gulf of America coastline. The consistent, reliable, and historically unique Landsat data archive provides an important tool for Texans to track landscape changes and enhance their economy and environment.&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213017","usgsCitation":"U.S. Geological Survey, 2021, Texas and Landsat (ver. 1.2, March 2025): U.S. Geological Survey Fact Sheet 2021–3017, 2 p., https://doi.org/10.3133/fs20213017.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-126698","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":408400,"rank":4,"type":{"id":31,"text":"Publication 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 \"}}]}","edition":"Version 1.0: March 30, 2021; Version 1.1: October 17, 2022; Version 1.2: March 19, 2025","contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\">National Land Imaging Program</a> <br>U.S. Geological Survey<br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Mapping Change to Texas Coastlines</li><li>Tracking Urban Heat from Above</li><li>Measuring and Managing Water Use</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-03-30","revisedDate":"2025-03-19","noUsgsAuthors":false,"publicationDate":"2021-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":202815,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":813135,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70219201,"text":"ofr20201154 - 2021 - Range-wide greater sage-grouse hierarchical monitoring framework—Implications for defining population boundaries, trend estimation, and a targeted annual warning system","interactions":[],"lastModifiedDate":"2021-03-31T11:34:59.149189","indexId":"ofr20201154","displayToPublicDate":"2021-03-30T10:32:04","publicationYear":"2021","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":"2020-1154","displayTitle":"Range-wide Greater Sage-Grouse Hierarchical Monitoring Framework: Implications for Defining Population Boundaries, Trend Estimation, and a Targeted Annual Warning System","title":"Range-wide greater sage-grouse hierarchical monitoring framework—Implications for defining population boundaries, trend estimation, and a targeted annual warning system","docAbstract":"<p>Incorporating spatial and temporal scales into greater sage-grouse (<i>Centrocercus urophasianus</i>) population monitoring strategies is challenging and rarely implemented. Sage-grouse populations experience fluctuations in abundance that lead to temporal oscillations, making trend estimation difficult. Accounting for stochasticity is critical to reliably estimate population trends and investigate variation related to deterministic factors on the landscape, which are amenable to management action. Here, we describe a novel, range-wide hierarchical monitoring framework for sage-grouse centered on four objectives: (1) create a standardized database of lek counts, (2) develop spatial population structures by clustering leks, (3) estimate spatial trends at different temporal extents based on abundance nadirs (troughs), and (4) develop a targeted annual warning system to help inform management decisions. Using automated and repeatable methods (software), we compiled a lek database (as of 2019) that contained 262,744 counts and 8,421 unique lek locations from disparate state data. The hierarchical population units (clusters) included 13 nested levels, identifying biologically relevant units and population structure that minimized inter-cluster sage-grouse movements. With these products, we identified spatiotemporal variation in trends in population abundance using Bayesian state-space models. We estimated 37.0, 65.2, and 80.7-percent declines in abundance range-wide during short (17 years), medium (33 years), and long (53 years) temporal scales, respectively. However, some areas exhibited evidence of increasing trends in abundance in recent decades. Models predicted 12.3, 19.2, and 29.6 percent of populations (defined as clusters of neighboring leks) consisted of over 50-percent probability of extirpation at 19, 38, and 56-year projections from 2019, respectively, based on averaged annual rate of change in apparent abundance across two, four, and six oscillations (average period of oscillation is 9.4 years). At the lek level, models predicted 45.7, 60.1, and 78.0 percent of leks with over 50-percent extirpation probabilities over the same time periods, respectively, mostly located on the periphery of the species’ range. The targeted annual warning system automates annual identification of local populations exhibiting asynchronous decline relative to regional population patterns using simulated management actions and an optimization algorithm for evaluating range-wide stabilization of population abundance. In 2019, approximately 3.2 percent of leks and 2.0 percent of populations were identified by the targeted annual warning system for management intervention range-wide.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201154","collaboration":"Prepared in cooperation with the Western Association of Fish and Wildlife Agencies and the Bureau of Land Management","usgsCitation":"Coates, P.S., Prochazka, B.G., O’Donnell, M.S., Aldridge, C.L., Edmunds, D.R., Monroe, A.P., Ricca, M.A., Wann, G.T., Hanser, S.E., Wiechman, L.A., and Chenaille, M.P., 2021, Range-wide greater sage-grouse hierarchical monitoring framework—Implications for defining population boundaries, trend estimation, and a targeted annual warning system: U.S. Geological Survey Open-File Report 2020–1154, 243 p., https://doi.org/10.3133/ofr20201154.","productDescription":"Report: vi, 243 p.; 1 Table","numberOfPages":"243","onlineOnly":"Y","ipdsId":"IP-123421","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":384766,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2020/1154/ofr20201154_table8.csv","text":"Table 8","size":"80 KB","linkFileType":{"id":7,"text":"csv"}},{"id":384765,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2020/1154/ofr20201154_table8.xlsx","text":"Table 8","size":"60 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":384760,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1154/ofr20201154.pdf","text":"Report","size":"310 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":384759,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1154/covrthb.jpg"}],"country":"United States","state":"California, Colorado, Idaho, Montana, Nevada, North Dakota, Oregon, South Dakota, Utah, Washington, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.32226562500001,\n              35.67514743608467\n            ],\n            [\n              -103.447265625,\n              35.67514743608467\n            ],\n            [\n              -103.447265625,\n              48.69096039092549\n            ],\n            [\n              -120.32226562500001,\n              48.69096039092549\n            ],\n            [\n              -120.32226562500001,\n              35.67514743608467\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director,<br><a href=\"https://www.usgs.gov/%20centers/%20werc\" 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>Preface&nbsp;&nbsp;</li><li>Acknowledgments&nbsp;&nbsp;&nbsp;</li><li>Abstract&nbsp;&nbsp;&nbsp;</li><li>Executive Summary&nbsp;&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;&nbsp;</li><li>Study Areas&nbsp;&nbsp;&nbsp;</li><li>Objective 1. Database for Sage-grouse Lek Counts&nbsp;&nbsp;&nbsp;</li><li>Objective 2. Population Clusters&nbsp;&nbsp;&nbsp;</li><li>Objective 3. Spatiotemporal Patterns of Sage-Grouse Population Abundance Trends&nbsp;&nbsp;</li><li>Objective 4. Targeted Annual Warning System&nbsp; Interpretation and Synthesis&nbsp;&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;&nbsp;</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2021-03-30","noUsgsAuthors":false,"publicationDate":"2021-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":3351,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":813198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":813199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":813200,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":813201,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813202,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wann, Gregory T. 0000-0001-9076-7819 wanng@usgs.gov","orcid":"https://orcid.org/0000-0001-9076-7819","contributorId":3855,"corporation":false,"usgs":true,"family":"Wann","given":"Gregory","email":"wanng@usgs.gov","middleInitial":"T.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813203,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":813204,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wiechman, Lief A. 0000-0002-3804-4426","orcid":"https://orcid.org/0000-0002-3804-4426","contributorId":184047,"corporation":false,"usgs":true,"family":"Wiechman","given":"Lief","email":"","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":813205,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Chenaille, Michael P. 0000-0003-3387-7899 mchenaille@usgs.gov","orcid":"https://orcid.org/0000-0003-3387-7899","contributorId":194661,"corporation":false,"usgs":true,"family":"Chenaille","given":"Michael","email":"mchenaille@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813206,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70220299,"text":"70220299 - 2021 - A rock record of complex aeolian bedforms in a Hesperian desert landscape: The Stimson formation as exposed in the Murray Buttes, Gale Crater, Mars","interactions":[],"lastModifiedDate":"2021-05-03T16:00:02.473524","indexId":"70220299","displayToPublicDate":"2021-03-30T10:27:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7353,"text":"Journal of Geophysical Research - Planets","active":true,"publicationSubtype":{"id":10}},"title":"A rock record of complex aeolian bedforms in a Hesperian desert landscape: The Stimson formation as exposed in the Murray Buttes, Gale Crater, Mars","docAbstract":"<p><span>Lithified aeolian strata encode information about ancient planetary surface processes and the climate during deposition. Decoding these strata provides insight regarding past sediment transport processes, bedform kinematics, depositional landscape, and the prevailing climate. Deciphering these signatures requires a detailed analysis of sedimentary architecture to reconstruct dune morphology, motion, and the conditions that enabled their formation. Here, we show that a distinct sandstone unit exposed in the foothills of Mount Sharp, Gale crater, Mars, records the preserved expression of compound aeolian bedforms that accumulated in a large dune field. Analysis of Mastcam images of the Stimson formation shows that it consists of cross‐stratified sandstone beds separated by a hierarchy of erosive bounding surfaces formed during dune migration. The presence of two orders of surfaces with distinct geometrical relations reveals that the Stimson‐era landscape consisted of large dunes (draas) with smaller, superimposed dunes migrating across their lee slopes. Analysis of cross‐lamination and subset bounding surface geometries indicate a complex wind regime that transported sediment toward the north, constructing oblique dunes. This dune field was a direct product of the regional climate and the surface processes active in Gale crater during the fraction of the Hesperian Period recorded by the Stimson formation. The environment was arid, supporting a large aeolian dune field; this setting contrasts with earlier humid depositional episodes, recorded by the lacustrine sediments of the Murray formation (also Hesperian). Such fine‐scale reconstruction of landscapes on the ancient surface of Mars is important to understanding the planet’s past climate and habitability.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JE006554","usgsCitation":"Banham, S.G., Gupta, S., Rubin, D.M., Edgett, K.S., Barnes, R., Van Beek, J., Watkins, J.A., Edgar, L.A., Fedo, C.M., Williams, R.M., Stack, K.M., Grotzinger, J.P., Lewis, K., Ewing, R.C., Day, M.D., and Vasavada, A.R., 2021, A rock record of complex aeolian bedforms in a Hesperian desert landscape: The Stimson formation as exposed in the Murray Buttes, Gale Crater, Mars: Journal of Geophysical Research - Planets, v. 126, no. 4, e2020JE006554, 35 p., https://doi.org/10.1029/2020JE006554.","productDescription":"e2020JE006554, 35 p.","ipdsId":"IP-119995","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":452875,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2020je006554","text":"External Repository"},{"id":385422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gale Crater, Mars, Murray Buttes","volume":"126","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Banham, Steve G.","contributorId":203783,"corporation":false,"usgs":false,"family":"Banham","given":"Steve","email":"","middleInitial":"G.","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":815047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gupta, Sanjeev","contributorId":172302,"corporation":false,"usgs":false,"family":"Gupta","given":"Sanjeev","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":815048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubin, David M.","contributorId":206587,"corporation":false,"usgs":false,"family":"Rubin","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":32898,"text":"U.C. Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":815049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edgett, Kenneth S.","contributorId":203786,"corporation":false,"usgs":false,"family":"Edgett","given":"Kenneth","email":"","middleInitial":"S.","affiliations":[{"id":36716,"text":"Malin Space Science Systems","active":true,"usgs":false}],"preferred":false,"id":815050,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnes, Robert","contributorId":203788,"corporation":false,"usgs":false,"family":"Barnes","given":"Robert","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":815051,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Beek, Jason K.","contributorId":167696,"corporation":false,"usgs":false,"family":"Van Beek","given":"Jason K.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":815052,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Watkins, Jessica A.","contributorId":203785,"corporation":false,"usgs":false,"family":"Watkins","given":"Jessica","email":"","middleInitial":"A.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":815053,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":815054,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fedo, Christopher M.","contributorId":229497,"corporation":false,"usgs":false,"family":"Fedo","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":815055,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Williams, Rebecca M. E.","contributorId":214029,"corporation":false,"usgs":false,"family":"Williams","given":"Rebecca","email":"","middleInitial":"M. E.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":815056,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stack, Kathryn M. 0000-0003-3444-6695","orcid":"https://orcid.org/0000-0003-3444-6695","contributorId":146791,"corporation":false,"usgs":false,"family":"Stack","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":815057,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Grotzinger, John P.","contributorId":58011,"corporation":false,"usgs":false,"family":"Grotzinger","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":815058,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lewis, Kevin","contributorId":195296,"corporation":false,"usgs":false,"family":"Lewis","given":"Kevin","affiliations":[],"preferred":false,"id":815059,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ewing, Ryan C.","contributorId":203791,"corporation":false,"usgs":false,"family":"Ewing","given":"Ryan","email":"","middleInitial":"C.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":815060,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Day, Mackenzie D.","contributorId":203790,"corporation":false,"usgs":false,"family":"Day","given":"Mackenzie","email":"","middleInitial":"D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":815061,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Vasavada, Ashwin R.","contributorId":200409,"corporation":false,"usgs":false,"family":"Vasavada","given":"Ashwin","email":"","middleInitial":"R.","affiliations":[],"preferred":true,"id":815062,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70219150,"text":"ofr20211013 - 2021 - Renewing the National Cooperative Geologic Mapping Program as the Nation’s authoritative source for modern geologic knowledge","interactions":[],"lastModifiedDate":"2022-09-23T14:45:18.884865","indexId":"ofr20211013","displayToPublicDate":"2021-03-30T09:05:00","publicationYear":"2021","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":"2021-1013","displayTitle":"Renewing the National Cooperative Geologic Mapping Program as the Nation’s Authoritative Source for Modern Geologic Knowledge","title":"Renewing the National Cooperative Geologic Mapping Program as the Nation’s authoritative source for modern geologic knowledge","docAbstract":"<p>This document presents the renewed vision, mission, and goals for the National Cooperative Geologic Mapping Program (NCGMP). The NCGMP, as authorized by the National Cooperative Geologic Mapping Act of 1992 (Public Law 102-285, 106 Stat. 166 and its reauthorizations), is tasked with expediting the production of a geologic database for the Nation based on modern geologic maps and their supporting data. In addition to highlighting the benefits of geologic maps for economic prosperity, national security, and environmental quality, the report describes the NCGMP structure and components. A renewed vision and mission for the NCGMP are stated, and three goals for guiding the program toward that vision for the next ten years are established. The vision of creating an integrated, three-dimensional, digital geologic map of the United States and its territories to address the changing needs of the Nation by 2030 is thereby defined to drive the activities of all NCGMP components for the next ten years. The strategic actions required to realize the NCGMP vision are identified for each of its components.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211013","usgsCitation":"Brock, J., Berry, K., Faulds, J., Berg, R., House, K., Marketti, M., McPhee, D., Schmidt, K., Schmitt, J., Soller, D., Spears, D., Thompson, R., Thorleifson, H., and Walsh, G., 2021, Renewing the National Cooperative Geologic Mapping Program as the Nation’s authoritative source for modern geologic knowledge: U.S. Geological Survey Open-File Report 2021–1013, 10 p., https://doi.org/10.3133/ofr20211013.","productDescription":"vi, 10 p.","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-115733","costCenters":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"links":[{"id":384680,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1013/ofr20211013.pdf","text":"Report","size":"0.97 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1013"},{"id":384679,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1013/coverthb.jpg"}],"contact":"<p><a href=\"https://www.usgs.gov/core-science-systems/national-cooperative-geologic-mapping-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-cooperative-geologic-mapping-program\">National Cooperative Geologic Mapping Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>The National Cooperative Geologic Mapping Program Structure</li><li>Renewed Vision, Mission, and Goals for the National Cooperative Geologic Mapping Program</li><li>Realizing the New National Cooperative Geologic Mapping Program Vision</li><li>Synopsis</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-03-30","noUsgsAuthors":false,"publicationDate":"2021-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":812959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Karen 0000-0003-3690-440X","orcid":"https://orcid.org/0000-0003-3690-440X","contributorId":256654,"corporation":false,"usgs":false,"family":"Berry","given":"Karen","email":"","affiliations":[{"id":12745,"text":"Colorado Geological Survey","active":true,"usgs":false}],"preferred":false,"id":812960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faulds, James","contributorId":200793,"corporation":false,"usgs":false,"family":"Faulds","given":"James","affiliations":[{"id":6689,"text":"Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":812961,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berg, Richard 0000-0001-5801-8519","orcid":"https://orcid.org/0000-0001-5801-8519","contributorId":43008,"corporation":false,"usgs":false,"family":"Berg","given":"Richard","email":"","affiliations":[{"id":13111,"text":"Illinois State Geological Survey, University of Illinois","active":true,"usgs":false}],"preferred":false,"id":812962,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":812963,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marketti, Michael 0000-0002-9696-5573 mmarketti@usgs.gov","orcid":"https://orcid.org/0000-0002-9696-5573","contributorId":107,"corporation":false,"usgs":true,"family":"Marketti","given":"Michael","email":"mmarketti@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":812964,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":812965,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":812966,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schmitt, James","contributorId":256655,"corporation":false,"usgs":false,"family":"Schmitt","given":"James","email":"","affiliations":[{"id":38060,"text":"Department of Earth Sciences, Montana State University, Bozeman, MT","active":true,"usgs":false}],"preferred":false,"id":812967,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Soller, David R. 0000-0001-6177-8332 drsoller@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-8332","contributorId":2700,"corporation":false,"usgs":true,"family":"Soller","given":"David","email":"drsoller@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":812968,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Spears, David 0000-0001-8599-3125","orcid":"https://orcid.org/0000-0001-8599-3125","contributorId":139189,"corporation":false,"usgs":false,"family":"Spears","given":"David","email":"","affiliations":[{"id":12690,"text":"Virginia Department of Mines, Minerals, and Energy, Charlottesville, VA","active":true,"usgs":false}],"preferred":false,"id":812969,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Thompson, Ren A. 0000-0002-3044-3043 rathomps@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":1265,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren","email":"rathomps@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":812970,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Thorleifson, Harvey 0000-0001-7160-255X","orcid":"https://orcid.org/0000-0001-7160-255X","contributorId":192828,"corporation":false,"usgs":false,"family":"Thorleifson","given":"Harvey","email":"","affiliations":[{"id":38105,"text":"Minnesota Geological Survey","active":true,"usgs":false}],"preferred":false,"id":812971,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":812972,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70219225,"text":"70219225 - 2021 - Rayleigh wave amplitude uncertainty across the Global Seismographic Network and potential implications for global tomography","interactions":[],"lastModifiedDate":"2021-06-01T17:31:58.387661","indexId":"70219225","displayToPublicDate":"2021-03-30T08:02:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Rayleigh wave amplitude uncertainty across the Global Seismographic Network and potential implications for global tomography","docAbstract":"<p>The Global Seismographic Network (GSN) is a multiuse, globally distributed seismic network used by seismologists, to both characterize earthquakes and study the Earth’s interior. Most stations in the network have two collocated broadband seismometers, which enable network operators to identify potential metadata and sensor issues. In this study, we investigate the accuracy with which surface waves can be measured across the GSN, by comparing waveforms of vertical‐component Rayleigh waves from<span>&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msub\"><span id=\"MathJax-Span-4\" class=\"mi\">M</span><span id=\"MathJax-Span-5\" class=\"mi\">w</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">Mw</span></span></span>&nbsp;6 and larger events between collocated sensor pairs. We calculate both the amplitude deviation and correlation coefficient between waveforms at sensor pairs. In total, we make measurements on over 670,000 event–station pairs from events that occurred from 1 January 2010 to 1 January 2020. We find that the average sensor‐pair amplitude deviation, and, therefore, GSN calibration level, is, approximately, 4% in the 25–250&nbsp;s period band. Although, we find little difference in sensor‐pair amplitude deviations as a function of period across the entire network, the amount of useable data decreases rapidly as a function of increasing period. For instance, we determined that just over 12% of records at 250&nbsp;s period provided useable recordings (e.g., sensor‐pair amplitude deviations of less than 20% and sensor‐pair correlation greater than 0.95). We then use these amplitude‐estimate deviations to identify how data coverage and quality could be limiting our ability to invert for whole Earth 3D attenuation models. We find an increase in the variance of our attenuation models with increasing period. For example, our degree 12 attenuation inversion at 250&nbsp;s period shows 32% more variance than our degree 12 attenuation model at 25&nbsp;s. This indicates that discrepancies of deep‐mantle tomography between studies could be the result of these large uncertainties. Because these high uncertainties arise from limited, high‐quality observations of long‐period (<span class=\"inline-formula no-formula-id\"><span>⁠</span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;gt;</mo><mn xmlns=&quot;&quot;>100</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>s</mi></math>\"><span id=\"MathJax-Span-6\" class=\"math\"></span></span></span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200255","usgsCitation":"Ringler, A.T., Anthony, R.E., Dalton, C.A., and Wilson, D.C., 2021, Rayleigh wave amplitude uncertainty across the Global Seismographic Network and potential implications for global tomography: Bulletin of the Seismological Society of America, v. 111, no. 3, p. 1273-1292, https://doi.org/10.1785/0120200255.","productDescription":"20 p.","startPage":"1273","endPage":"1292","ipdsId":"IP-124172","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":384808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":813289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":813290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalton, C. A.","contributorId":256826,"corporation":false,"usgs":false,"family":"Dalton","given":"C.","email":"","middleInitial":"A.","affiliations":[{"id":51872,"text":"Department of Earth, Environmental Science and Planetary Sciences, Brown University","active":true,"usgs":false}],"preferred":false,"id":813291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":813292,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70219421,"text":"70219421 - 2021 - Quantifying energetic costs and defining energy landscapes experienced by grizzly bears","interactions":[],"lastModifiedDate":"2021-04-05T12:57:01.030082","indexId":"70219421","displayToPublicDate":"2021-03-30T07:54:20","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2275,"text":"Journal of Experimental Biology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying energetic costs and defining energy landscapes experienced by grizzly bears","docAbstract":"<div id=\"abstract-1\" class=\"section abstract\"><p id=\"p-1\">Animal movements are major determinants of energy expenditure and ultimately the cost–benefit of landscape use. Thus, we sought to understand those costs and how grizzly bears (<i>Ursus arctos</i>) move in mountainous landscapes. We trained captive grizzly bears to walk on a horizontal treadmill and up and down 10% and 20% slopes. The cost of moving upslope increased linearly with speed and slope angle, and this was more costly than moving horizontally. The cost of downslope travel at slower speeds was greater than the cost of traveling horizontally but appeared to decrease at higher speeds. The most efficient walking speed that minimized cost per unit distance was 1.19±0.11 m s<sup>−1</sup>. However, grizzly bears fitted with GPS collars in the Greater Yellowstone Ecosystem moved at an average velocity of 0.61±0.28 m s<sup>−1</sup><span>&nbsp;</span>and preferred to travel on near-horizontal slopes at twice their occurrence. When traveling uphill or downhill, grizzly bears chose paths across all slopes that were ∼54% less steep and costly than the maximum available slope. The net costs (J&nbsp;kg<sup>−1</sup>&nbsp;m<sup>−1</sup>) of moving horizontally and uphill were the same for grizzly bears, humans and digitigrade carnivores, but those costs were 46% higher than movement costs for ungulates. These movement costs and characteristics of landscape use determined using captive and wild grizzly bears were used to understand the strategies that grizzly bears use for preying on large ungulates and the similarities in travel between people and grizzly bears that might affect the risk of encountering each other on shared landscapes.</p></div><div id=\"fn-group-1\" class=\"section fn-group\"><br></div>","language":"English","publisher":"The Company of Biologists","doi":"10.1242/jeb.241083","usgsCitation":"Carnahan, A.M., van Manen, F.T., Haroldson, M.A., Stenhouse, G., and Robbins, C.T., 2021, Quantifying energetic costs and defining energy landscapes experienced by grizzly bears: Journal of Experimental Biology, v. 224, no. 6, jeb241083, 9 p., https://doi.org/10.1242/jeb.241083.","productDescription":"jeb241083, 9 p.","ipdsId":"IP-124722","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":452878,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1242/jeb.241083","text":"Publisher Index Page"},{"id":384862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.11572265625,\n              41.902277040963696\n            ],\n            [\n              -107.07275390625,\n              41.902277040963696\n            ],\n            [\n              -107.07275390625,\n              44.98034238084973\n            ],\n            [\n              -111.11572265625,\n              44.98034238084973\n            ],\n            [\n              -111.11572265625,\n              41.902277040963696\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"224","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Carnahan, Anthony M.","contributorId":207641,"corporation":false,"usgs":false,"family":"Carnahan","given":"Anthony","email":"","middleInitial":"M.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":813469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":813470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":813471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stenhouse, Gordon","contributorId":167054,"corporation":false,"usgs":false,"family":"Stenhouse","given":"Gordon","email":"","affiliations":[{"id":24604,"text":"Foothills Research Institute","active":true,"usgs":false}],"preferred":false,"id":813472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robbins, Charles T.","contributorId":32436,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5132,"text":"Washington State University, Pullman","active":true,"usgs":false}],"preferred":false,"id":813473,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70219191,"text":"70219191 - 2021 - Considerations of variability and power for long-term monitoring of stream fish assemblages","interactions":[],"lastModifiedDate":"2021-03-30T12:28:36.815319","indexId":"70219191","displayToPublicDate":"2021-03-30T07:27:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Considerations of variability and power for long-term monitoring of stream fish assemblages","docAbstract":"Little attention has been given to optimizing statistical power for monitoring stream fish assemblages. We explored the relationship between temporal variability and statistical power using 34 metrics from fish community data collected annually at six sites over 10 years via electrofishing. Metric variability differed by the life stage and group of species considered, use of abundance or mass data, and data standardization technique. Lower variability was associated with community data, abundance data, and time-based standardizations, while greater variability was associated with young-of-the-year data, mass data, and area-based standardizations. Simulation-based power analysis indicated metric choice, and to a lesser degree, monitoring design (annual, biennial, endpoints, or haphazard sampling) influenced power to detect change. Across a fixed number of surveys (N = 60), endpoints sampling performed best. The N needed to detect change was heavily dependent upon metric choice for all monitoring designs, with the most biologically specific metrics requiring greater N. Large savings in effort and resource expenditure can be obtained utilizing biologically relevant metrics that are robust to temporal noise within an appropriate sampling design.","language":"English","publisher":"Canadian Journal of Fisheries and Aquatic Sciences","doi":"10.1139/cjfas-2020-0013","usgsCitation":"George, S.D., Daniel Stich, and Baldigo, B.P., 2021, Considerations of variability and power for long-term monitoring of stream fish assemblages: Canadian Journal of Fisheries and Aquatic Sciences, v. 78, no. 3, p. 301-311, https://doi.org/10.1139/cjfas-2020-0013.","productDescription":"11 p.","startPage":"301","endPage":"311","ipdsId":"IP-106954","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":452881,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2020-0013","text":"Publisher Index Page"},{"id":384753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Daniel Stich","contributorId":256732,"corporation":false,"usgs":false,"family":"Daniel Stich","affiliations":[{"id":51843,"text":"SUNY College at Oneonta","active":true,"usgs":false}],"preferred":false,"id":813155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813156,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70222116,"text":"70222116 - 2021 - Preliminary assessment of carbon and nitrogen sequestration potential of wildfire-derived sediments stored by erosion control structures in forest ecosystems, southwest USA","interactions":[],"lastModifiedDate":"2021-07-20T12:30:15.167553","indexId":"70222116","displayToPublicDate":"2021-03-30T07:27:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":686,"text":"Air, Soil and Water Research","active":true,"publicationSubtype":{"id":10}},"title":"Preliminary assessment of carbon and nitrogen sequestration potential of wildfire-derived sediments stored by erosion control structures in forest ecosystems, southwest USA","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>The role of pyrogenic carbon (PyC) in the global carbon cycle is still incompletely characterized. Much work has been done to characterize PyC on landforms and in soils where it originates or in “terminal” reservoirs such as marine sediments. Less is known about intermediate reservoirs such as streams and rivers, and few studies have characterized hillslope and in-stream erosion control structures (ECS) designed to capture soils and sediments destabilized by wildfire. In this preliminary study, organic carbon (OC), total nitrogen (N), and stable isotope parameters, δ<sup>13</sup>C and δ<sup>15</sup>N, were compared to assess opportunities for carbon and nitrogen sequestration in postwildfire sediments (fluvents) deposited upgradient of ECS in ephemeral- and intermittent-stream channels. The variability of OC, N, δ<sup>13</sup>C, and δ<sup>15</sup>N were analyzed in conjunction with fire history, age of captured sediments, topographic position, and land cover. Comparison of samples in 2 watersheds indicates higher OC and N in ECS with more recently captured sediments located downstream of areas with higher burn severity. This is likely a consequence of (1) higher burn severity causing greater runoff, erosion, and transport of OC (organic matter) to ECS and (2) greater cumulative loss of OC and N in older sediments stored behind older ECS. In addition, C/N, δ<sup>13</sup>C, and δ<sup>15</sup>N results suggest that organic matter in sediments stored at older ECS are enriched in microbially processed biomass relative to those at newer ECS. We conservatively estimated the potential mean annual capture of OC by ECS, using values from the watershed with lower levels of OC, to be 3 to 4 metric tons, with a total potential storage of 293 to 368 metric tons in a watershed of 7.7 km<sup>2</sup><span>&nbsp;</span>and total area of 2000 ECS estimated at 2.6 ha (203-255 metric tons/ha). We extrapolated the OC results to the regional level (southwest USA) to estimate the potential for carbon sequestration using these practices. We estimated a potential of 0.01 Pg, which is significant in terms of ecosystem services and regional efforts to promote carbon storage.</p></div></div>","language":"English","publisher":"Sage Publishing","doi":"10.1177/11786221211001768","usgsCitation":"Callegary, J.B., Norman, L., Eastoe, C.J., Sankey, J., and Youberg, A., 2021, Preliminary assessment of carbon and nitrogen sequestration potential of wildfire-derived sediments stored by erosion control structures in forest ecosystems, southwest USA: Air, Soil and Water Research, v. 14, 18 p., https://doi.org/10.1177/11786221211001768.","productDescription":"18 p.","ipdsId":"IP-088935","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":452884,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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 \"}}]}","volume":"14","noUsgsAuthors":false,"publicationDate":"2021-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Callegary, James B. 0000-0003-3604-0517 jcallega@usgs.gov","orcid":"https://orcid.org/0000-0003-3604-0517","contributorId":2171,"corporation":false,"usgs":true,"family":"Callegary","given":"James","email":"jcallega@usgs.gov","middleInitial":"B.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":819585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":819586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eastoe, Christopher J.","contributorId":173510,"corporation":false,"usgs":false,"family":"Eastoe","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":819587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":819588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Youberg, Ann 0000-0002-2005-3674","orcid":"https://orcid.org/0000-0002-2005-3674","contributorId":172400,"corporation":false,"usgs":false,"family":"Youberg","given":"Ann","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":819589,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70220274,"text":"70220274 - 2021 - Assessing the effectiveness of nourishment in decadal barrier island morphological resilience","interactions":[],"lastModifiedDate":"2021-04-30T12:24:22.609289","indexId":"70220274","displayToPublicDate":"2021-03-30T07:17:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the effectiveness of nourishment in decadal barrier island morphological resilience","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Nourishment has shown to be an effective method for short-term storm protection along barrier islands and sandy beaches by reducing flooding, wave attack and erosion. However, the ability of nourishment to mitigate the effects of storms and sea level rise (SLR) and improve coastal resilience over decadal time scales is not well understood. This study uses integrated models of storm-driven hydrodynamics, morphodynamics and post-storm dune recovery to assess the effectiveness of beach and dune nourishment on barrier island morphological resilience over a 30-year period, accounting for storms and a moderate amount of SLR. Results show that at the end of the 30 years, nourishment contributes to maintaining island volumes by increasing barrier height and width compared with a no-action scenario (i.e., no nourishment, only natural recovery). During storms where the collision regime was dominant, higher volumes of sand were lost from the wider beach in the nourishment scenario than in the no-action scenario. During stronger storms, nourishment reduced dune overtopping compared with the no-action scenario, allowing the island to maintain height and width. Additionally, nourishment was particularly effective in reducing breaching during back-to-back storms occurring in the same year.<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span></span></span></div>","language":"English","publisher":"MDPI","doi":"10.3390/w13070944","usgsCitation":"Passeri, D., Bilskie, M.V., Hagen, S.C., Mickey, R.C., Dalyander, P., and Gonzalez, V., 2021, Assessing the effectiveness of nourishment in decadal barrier island morphological resilience: Water, v. 13, no. 7, 944, 14 p., https://doi.org/10.3390/w13070944.","productDescription":"944, 14 p.","ipdsId":"IP-126358","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":452887,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w13070944","text":"Publisher Index Page"},{"id":436428,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BH4JFR","text":"USGS data release","linkHelpText":"Assessing the Effectiveness of Nourishment in Decadal Barrier Island Morphological Resilience: Model Inputs and Outputs"},{"id":385408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Dauphin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.23532104492186,\n              30.20448740114747\n            ],\n            [\n              -88.00735473632812,\n              30.20448740114747\n            ],\n            [\n              -88.00735473632812,\n              30.28990324883237\n            ],\n            [\n              -88.23532104492186,\n              30.28990324883237\n            ],\n            [\n              -88.23532104492186,\n              30.20448740114747\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Passeri, Davina L. 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":814966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bilskie, Matthew V.","contributorId":166891,"corporation":false,"usgs":false,"family":"Bilskie","given":"Matthew","email":"","middleInitial":"V.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":814967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagen, Scott C.","contributorId":166890,"corporation":false,"usgs":false,"family":"Hagen","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":814968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mickey, Rangley C. 0000-0001-5989-1432 rmickey@usgs.gov","orcid":"https://orcid.org/0000-0001-5989-1432","contributorId":141016,"corporation":false,"usgs":true,"family":"Mickey","given":"Rangley","email":"rmickey@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":814969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dalyander, P Soupy","contributorId":257752,"corporation":false,"usgs":false,"family":"Dalyander","given":"P Soupy","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":814970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gonzalez, Victor","contributorId":173702,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Victor","affiliations":[],"preferred":false,"id":814971,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70219440,"text":"70219440 - 2021 - Risks posed by SARS‐CoV‐2 to North American bats during winter fieldwork","interactions":[],"lastModifiedDate":"2021-06-01T17:34:01.567691","indexId":"70219440","displayToPublicDate":"2021-03-30T06:33:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Risks posed by SARS‐CoV‐2 to North American bats during winter fieldwork","docAbstract":"<p><span>The virus that causes COVID‐19 likely evolved in a mammalian host, possibly Old‐World bats, before adapting to humans, raising the question of whether reverse zoonotic transmission to bats is possible. Wildlife management agencies in North America are concerned that the activities they authorize could lead to transmission of SARS‐CoV‐2 to bats from humans. A rapid risk assessment conducted in April 2020 suggested that there was a small but significant possibility that SARS‐CoV‐2 could be transmitted from humans to bats during summer fieldwork, absent precautions. Subsequent challenge studies in a laboratory setting have shed new information on these risks, as has more detailed information on human epidemiology and transmission. This inquiry focuses on the risk to bats from winter fieldwork, specifically surveys of winter roosts and handling of bats to test for white‐nose syndrome or other research needs. We use an aerosol transmission model, with parameter estimates both from the literature and from formal expert judgment, to estimate the risk to three species of North American bats, as a function of several factors. We find that risks of transmission are lower than in the previous assessment and are notably affected by chamber volume and local prevalence of COVID‐19. Use of facemasks with high filtration efficiency or a negative COVID‐19 test before field surveys can reduce zoonotic risk by 65 to 88%.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/csp2.410","usgsCitation":"Cook, J., Campbell Grant, E.H., Coleman, J.T., Sleeman, J.M., and Runge, M.C., 2021, Risks posed by SARS‐CoV‐2 to North American bats during winter fieldwork: Conservation Science and Practice, v. 3, no. 6, e410, 17 p., https://doi.org/10.1111/csp2.410.","productDescription":"e410, 17 p.","ipdsId":"IP-125933","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":452891,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.410","text":"Publisher Index Page"},{"id":436429,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QAID7C","text":"USGS data release","linkHelpText":"Decision-Support Tool to Estimate SARS-CoV-2 Human-to-bat Transmission Risk"},{"id":384893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Cook, Jonathan D","contributorId":256954,"corporation":false,"usgs":false,"family":"Cook","given":"Jonathan D","affiliations":[{"id":24700,"text":"Student contractor","active":true,"usgs":false}],"preferred":false,"id":813577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":813578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coleman, Jeremy T. H.","contributorId":256955,"corporation":false,"usgs":false,"family":"Coleman","given":"Jeremy","email":"","middleInitial":"T. H.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":813579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":813580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":813581,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70219172,"text":"ds1136 - 2021 - Groundwater-quality and select quality-control data from the National Water-Quality Assessment Project, January 2017 through December 2019","interactions":[],"lastModifiedDate":"2021-03-30T11:57:07.918866","indexId":"ds1136","displayToPublicDate":"2021-03-29T17:42:50","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1136","displayTitle":"Groundwater-Quality and Select Quality-Control Data from the National Water-Quality Assessment Project, January 2017 through December 2019","title":"Groundwater-quality and select quality-control data from the National Water-Quality Assessment Project, January 2017 through December 2019","docAbstract":"<p>Groundwater-quality environmental data were collected from 983 wells as part of the National Water-Quality Assessment Project of the U.S. Geological Survey National Water Quality Program and are included in this report. The data were collected from six types of well networks: principal aquifer study networks, which are used to assess the quality of groundwater used for public water supply; land-use study networks, which are used to assess land-use effects on shallow groundwater quality; major aquifer study networks, which are used to assess the quality of groundwater used for domestic supply; enhanced trends networks, which are used to evaluate the time scales during which groundwater quality changes; vertical flow-path study networks, which are used to evaluate changes in groundwater quality from shallow to deeper depths; and modeling support studies, which are used to provide data to support groundwater modeling. Groundwater samples were analyzed for many water-quality indicators and constituents, including major ions, nutrients, trace elements, volatile organic compounds, pesticides, radionuclides, microbiological indicators, and some constituents of special interest (arsenic speciation, hexavalent chromium [chromium (VI)], and perchlorate). These groundwater-quality data, along with data from quality-control samples, are tabulated in this report and in an associated data release. Data for microbiological indicators for samples collected in 2016 are included in the companion data release.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1136","collaboration":"National Water-Quality Assessment Project","usgsCitation":"Kingsbury, J.A., Bexfield, L.M., Arnold, T., Musgrove, M., Erickson, M.L., Degnan, J.R., Tesoriero, A.J., Lindsey, B.D., and Belitz, K., 2021, Groundwater-quality and select quality-control data from the National Water-Quality Assessment Project, January 2017 through December 2019: U.S. Geological Survey Data Series 1136, 97 p., https://doi.org/10.3133/ds1136.","productDescription":"Report: x, 97 p.; 2 Appendixes; Data Release; Dataset","numberOfPages":"112","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-118835","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"links":[{"id":384723,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1136/coverthb.jpg"},{"id":384724,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1136/ds1136.pdf","text":"Report","size":"26.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1136"},{"id":384725,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1136/ds1136_table1.1.csv","text":"Table 1.1","size":"11.0 kB","linkFileType":{"id":7,"text":"csv"},"description":"DS 1136 Appendix Table 1.1","linkHelpText":"— Index of reports containing each network description"},{"id":384726,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1136/ds1136_table1.1.xlsx","text":"Table 1.1","size":"15.1 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 1136 Appendix Table 1.1","linkHelpText":"— Index of reports containing each network description"},{"id":384727,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1136/ds1136_table3.1.csv","text":"Table 3.1","size":"15.7 kB","linkFileType":{"id":7,"text":"csv"},"description":"DS 1136 Appendix Table 3.1","linkHelpText":"— Well identification numbers, Groundwater Ambient Monitoring and Assessment study unit, and report with water-quality data for wells in the California Coastal Basin aquifers and Central Valley aquifer system principal aquifer study networks"},{"id":384728,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1136/ds1136_table3.1.xlsx","text":"Table 3.1","size":"23.6 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 1136 Appendix Table 3.1","linkHelpText":"— Well identification numbers, Groundwater Ambient Monitoring and Assessment study unit, and report with water-quality data for wells in the California Coastal Basin aquifers and Central Valley aquifer system principal aquifer study networks"},{"id":384729,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XATXV1","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Datasets of groundwater-quality and select quality-control data from the National Water-Quality Assessment Project, January 2017 through December 2019"},{"id":384730,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the Nation"}],"country":"United States","geographicExtents":"{\n  \"type\": 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            [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water\" href=\"https://www.usgs.gov/centers/lmg-water\">Lower Mississippi-Gulf Water Science Center</a> <br>U.S. Geological Survey<br>640 Grassmere Park Drive <br>Nashville, TN 37211 </p>","tableOfContents":"<ul><li>Foreword</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Groundwater Study Design</li><li>Sample Collection and Analysis</li><li>Data Reporting</li><li>Quality-Assurance and Quality-Control Methods</li><li>Groundwater-Quality Data</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Information Contained in Previous Reports in This Series</li><li>Appendix 2. Well Depth and Open Interval by Study Network</li><li>Appendix 3. Well Identification Numbers and Reports Containing Sample Results for Wells in the California Coastal Basin Aquifers and Central Valley Aquifer System Principal Aquifer Study Networks</li><li>Appendix 4. High-Frequency Data from Enhanced Trends Networks</li><li>Appendix 5. Quality-Control Data and Analysis</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2021-03-29","noUsgsAuthors":false,"publicationDate":"2021-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Kingsbury, James A. 0000-0003-4985-275X jakingsb@usgs.gov","orcid":"https://orcid.org/0000-0003-4985-275X","contributorId":883,"corporation":false,"usgs":true,"family":"Kingsbury","given":"James","email":"jakingsb@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bexfield, Laura M. 0000-0002-1789-654X bexfield@usgs.gov","orcid":"https://orcid.org/0000-0002-1789-654X","contributorId":1273,"corporation":false,"usgs":true,"family":"Bexfield","given":"Laura","email":"bexfield@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnold, Terri 0000-0003-1406-6054 tlarnold@usgs.gov","orcid":"https://orcid.org/0000-0003-1406-6054","contributorId":1598,"corporation":false,"usgs":false,"family":"Arnold","given":"Terri","email":"tlarnold@usgs.gov","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":813124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Musgrove, MaryLynn 0000-0003-1607-3864 mmusgrov@usgs.gov","orcid":"https://orcid.org/0000-0003-1607-3864","contributorId":197013,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","email":"mmusgrov@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":813125,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erickson, Melinda L. 0000-0002-1117-2866 merickso@usgs.gov","orcid":"https://orcid.org/0000-0002-1117-2866","contributorId":3671,"corporation":false,"usgs":true,"family":"Erickson","given":"Melinda L.","email":"merickso@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813126,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Degnan, James R. 0000-0002-5665-9010 jrdegnan@usgs.gov","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":498,"corporation":false,"usgs":true,"family":"Degnan","given":"James","email":"jrdegnan@usgs.gov","middleInitial":"R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813127,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tesoriero, Anthony J. 0000-0003-4674-7364 tesorier@usgs.gov","orcid":"https://orcid.org/0000-0003-4674-7364","contributorId":2693,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony","email":"tesorier@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813128,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":175346,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce","email":"blindsey@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":813129,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":813130,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70219173,"text":"sir20215017 - 2021 - Landscape evolution in eastern Chuckwalla Valley, Riverside County, California","interactions":[],"lastModifiedDate":"2021-03-30T11:48:42.025882","indexId":"sir20215017","displayToPublicDate":"2021-03-29T13:14:33","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5017","displayTitle":"Landscape Evolution in Eastern Chuckwalla Valley, Riverside County, California","title":"Landscape evolution in eastern Chuckwalla Valley, Riverside County, California","docAbstract":"<p>This study investigates sedimentary and geomorphic processes in eastern Chuckwalla Valley, Riverside County, California, a region of arid, basin-and-range terrain where extensive solar-energy development is planned. The objectives of this study were to (1) measure local weather parameters and use them to model aeolian sediment-transport potential; (2) identify surface sedimentary characteristics in representative localities; and (3) evaluate long-term landscape evolution rates and processes by analyzing stratigraphy in combination with luminescence geochronology.</p><p>The new stratigraphic and geochronologic data presented in this report demonstrate the varying local significance of aeolian, alluvial fan, lacustrine (playa), and possibly Colorado River influence over a range of time scales. The dominant sand-transport direction in eastern Chuckwalla Valley is toward the northeast, consistent with the recognized regional west-to-east wind direction. However, occasional strong wind events from the north can transport large quantities of sand southward and temporarily reshape local geomorphic features. Influence of a northwest wind direction is also locally dominant around mountain ranges and controls the modern morphology of the Palen dune field. Modeled sand fluxes are on the order of 10<sup>5</sup> kilograms per meter width per year at the site of weather monitoring, 5 kilometers northwest of the Mule Mountains. Aeolian dunes are locally well developed and actively migrating. Their location and activity are determined largely by sediment supply from playa surfaces and ephemeral stream channels, which also control the dunes’ spatial extent and migration potential; stream channels act as both source and sink for aeolian sediment in this environment.</p><p>Excavations at five sites along a northwest-to-southeast transect reveal that playa deposits formed around 266–226 thousand years ago south of the McCoy Mountains and immediately north of the present location of Interstate 10. The playa material is overlain by late Pleistocene to Holocene alluvial fan deposits. To the southeast (south of Interstate 10, but north of the Mule Mountains), we identified rapid accumulation of alluvial sediment around the time of the Last Glacial Maximum (23–20 thousand years ago), unconformably overlain by a locally varying assemblage of recent aeolian material or Holocene alluvial fan sediment. We have used stratigraphic characteristics and luminescence ages to calculate accumulation rates for sites in eastern Chuckwalla Valley, and thereby to identify spatial variation in landscape stability over decadal and longer time scales.</p><p>If future solar-energy development plans are to include natural sand-transport corridors, plans would entail retaining the ability for sand to be transported eastward from the ephemeral stream channels and playas that supply sediment to the dunes, sand sheets, and sand ramps of Chuckwalla Valley, and also to allow for southward transport during episodic strong weather events several times per year. The aeolian sediment-transport corridors are dynamic spatially and temporally, reorganizing on the basis of seasonal changes to wind drift potential. Future landscape stability also will be determined by climate-driven changes to vegetation and thereby to aeolian sediment availability. In a warmer, drier climate, aeolian sediment activity is expected to increase, owing to a decrease in stabilizing vegetation cover and more extreme rain that supplies sediment to ephemeral stream channels and playas from which it is remobilized by wind.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215017","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"East, A.E., Gray, H.J., Redsteer, M.H., and Ballmer, M., 2021, Landscape evolution in eastern Chuckwalla Valley, Riverside County, California: U.S. Geological Survey Scientific Investigations Report 2021–5017, 46 p., https://doi.org/10.3133/sir20215017.","productDescription":"Report: vi, 46 p.; Data Release","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-124276","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":384720,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5017/covrthb.jpg"},{"id":384721,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5017/sir20215017.pdf","text":"Report","size":"21 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":384722,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LZ02E4","linkHelpText":"Luminescence, weather, and grain-size data from eastern Chuckwalla Valley, Riverside County, California"}],"country":"United States","state":"California","county":"Riverside County","otherGeospatial":"Eastern Chuckwalla 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href=\"http://www.usgs.gov/centers/pcmsc/\" data-mce-href=\"http://www.usgs.gov/centers/pcmsc/\">Pacific Coastal and Marine Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>Pacific Coastal and Marine Science Center<br>2885 Mission St.<br>Santa Cruz, CA 95060</p>","tableOfContents":"<ul><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Methods&nbsp;&nbsp;</li><li>Results&nbsp;&nbsp;</li><li>Discussion&nbsp;&nbsp;</li><li>Conclusions&nbsp;&nbsp;</li><li>Acknowledgments&nbsp;&nbsp;</li><li>References Cited&nbsp;</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-03-29","noUsgsAuthors":false,"publicationDate":"2021-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":813131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Harrison J. 0000-0002-4555-7473 hgray@usgs.gov","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":4991,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison","email":"hgray@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":813132,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Redsteer, Margaret Hiza 0000-0003-2851-2502","orcid":"https://orcid.org/0000-0003-2851-2502","contributorId":54335,"corporation":false,"usgs":true,"family":"Redsteer","given":"Margaret","email":"","middleInitial":"Hiza","affiliations":[],"preferred":false,"id":813133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ballmer, Matthew","contributorId":256720,"corporation":false,"usgs":false,"family":"Ballmer","given":"Matthew","email":"","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":true,"id":813134,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223103,"text":"70223103 - 2021 - Exploiting common senses: Sensory ecology meets wildlife conservation and management","interactions":[],"lastModifiedDate":"2021-08-11T13:29:27.189179","indexId":"70223103","displayToPublicDate":"2021-03-29T08:27:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"Exploiting common senses: Sensory ecology meets wildlife conservation and management","docAbstract":"<p class=\"chapter-para\">Multidisciplinary approaches to conservation and wildlife management are often effective in addressing complex, multi-factor problems. Emerging fields such as conservation physiology and conservation behaviour can provide innovative solutions and management strategies for target species and systems. Sensory ecology combines the study of ‘how animals acquire’ and process sensory stimuli from their environments, and the ecological and evolutionary significance of ‘how animals respond’ to this information. We review the benefits that sensory ecology can bring to wildlife conservation and management by discussing case studies across major taxa and sensory modalities. Conservation practices informed by a sensory ecology approach include the amelioration of sensory traps, control of invasive species, reduction of human–wildlife conflicts and relocation and establishment of new populations of endangered species. We illustrate that sensory ecology can facilitate the understanding of mechanistic ecological and physiological explanations underlying particular conservation issues and also can help develop innovative solutions to ameliorate conservation problems.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/conphys/coab002","usgsCitation":"Elmer, L.K., Madliger, C.L., Blumstein, D.T., Elvidge, C.K., Fernandex-Juricic, E., Horodysky, A.Z., Johnson, N.S., McGuire, L.P., Swaisgood, R.R., and Cooke, S., 2021, Exploiting common senses: Sensory ecology meets wildlife conservation and management: Conservation Physiology, v. 9, no. 1, coab002, 29 p., https://doi.org/10.1093/conphys/coab002.","productDescription":"coab002, 29 p.","ipdsId":"IP-123988","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":452893,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coab002","text":"Publisher Index Page"},{"id":387851,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Elmer, Laura K","contributorId":264140,"corporation":false,"usgs":false,"family":"Elmer","given":"Laura","email":"","middleInitial":"K","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":820955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madliger, Christine L","contributorId":264141,"corporation":false,"usgs":false,"family":"Madliger","given":"Christine","email":"","middleInitial":"L","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":820956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blumstein, Daniel T.","contributorId":150453,"corporation":false,"usgs":false,"family":"Blumstein","given":"Daniel","email":"","middleInitial":"T.","affiliations":[{"id":18023,"text":"Ecology and Evolutionary Biology, UCLA","active":true,"usgs":false}],"preferred":false,"id":820957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elvidge, Chris K","contributorId":264142,"corporation":false,"usgs":false,"family":"Elvidge","given":"Chris","email":"","middleInitial":"K","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":820958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fernandex-Juricic, Esteban","contributorId":264143,"corporation":false,"usgs":false,"family":"Fernandex-Juricic","given":"Esteban","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":820959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Horodysky, Andrij Z","contributorId":264144,"corporation":false,"usgs":false,"family":"Horodysky","given":"Andrij","email":"","middleInitial":"Z","affiliations":[{"id":54388,"text":"Hampton University","active":true,"usgs":false}],"preferred":false,"id":820960,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":820961,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGuire, Liam P","contributorId":264145,"corporation":false,"usgs":false,"family":"McGuire","given":"Liam","email":"","middleInitial":"P","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":820962,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Swaisgood, Ronald R.","contributorId":69490,"corporation":false,"usgs":false,"family":"Swaisgood","given":"Ronald","email":"","middleInitial":"R.","affiliations":[{"id":12762,"text":"San Diego Zoo Institure for Conservation Research","active":true,"usgs":false}],"preferred":false,"id":820963,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":820964,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70220474,"text":"70220474 - 2021 - Optimal allocation of law enforcement patrol effort to mitigate poaching activities","interactions":[],"lastModifiedDate":"2021-08-03T15:19:58.956481","indexId":"70220474","displayToPublicDate":"2021-03-29T07:27:47","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Optimal allocation of law enforcement patrol effort to mitigate poaching activities","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Poaching is a global problem causing the decline of species worldwide. Optimizing the efficiency of ranger patrols to deter poaching activity at the lowest possible cost is crucial for protecting species with limited resources. We applied decision analysis and spatial optimization algorithms to allocate efforts of ranger patrols throughout a national park. Our objective was to mitigate poaching activity at or below management risk targets for the lowest monetary cost. We examined this trade‐off by constructing a Pareto efficiency frontier using integer linear programming. We used data from a ranger‐based monitoring program in Nyungwe National Park, Rwanda. Our measure of poaching risk is based on dynamic occupancy models that account for imperfect detection of poaching activities. We found that in order to achieve a 5% reduction in poaching risk, 622 ranger patrol events (each corresponding to patrolling 1‐km<sup>2</sup><span>&nbsp;</span>sites) were needed within a year at a cost of US$49,760. In order to attain a 60% reduction in poaching risk, 15,560 patrol events were needed at a cost of US<span>\\$</span>1,244,800. We evaluated the trade‐off between patrol cost and poaching risk based on our model by constructing a Pareto efficiency frontier and park managers found the solution for a 50% risk reduction to be a practical trade‐off based on funding constraints (comparable to recent years) and the diminishing returns between risk mitigation and cost. This expected reduction in risk required 8,558 patrol events per year at a cost of US <span>\\$</span>684,640. Our results suggest that optimal solutions could increase efficiency compared to the actual effort allocations from 2006 to 2016 in Nyungwe National Park (e.g., risk reductions of ~30% under recent budgets compared to ~50% reduction in risk under the optimal strategy). The modeling framework in this study took into account imperfect detection of poaching risk as well as the directional and conditional nature of ranger patrol events given the spatial adjacency relationships of neighboring sites and access points. Our analyses can help to improve the efficiency of ranger patrols, and the modeling framework can be broadly applied to other spatial conservation planning problems with conditional, multilevel, site selection.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2337","usgsCitation":"Moore, J.F., Udell, B., Martin, J., Turikunkiko, E., and Masozera, M.K., 2021, Optimal allocation of law enforcement patrol effort to mitigate poaching activities: Ecological Applications, v. 31, no. 5, e02337, 12 p., https://doi.org/10.1002/eap.2337.","productDescription":"e02337, 12 p.","ipdsId":"IP-111306","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":385634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Rwanda","otherGeospatial":"Nyungwe National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              28.99017333984375,\n              -2.8703501327916534\n            ],\n            [\n              29.564208984375,\n              -2.8703501327916534\n            ],\n            [\n              29.564208984375,\n              -2.2969004025119846\n            ],\n            [\n              28.99017333984375,\n              -2.2969004025119846\n            ],\n            [\n              28.99017333984375,\n              -2.8703501327916534\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-05-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Jennifer F.","contributorId":189122,"corporation":false,"usgs":false,"family":"Moore","given":"Jennifer","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":815619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Udell, Bradley","contributorId":216709,"corporation":false,"usgs":false,"family":"Udell","given":"Bradley","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":815620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":218445,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":815621,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turikunkiko, Ezechiel","contributorId":201301,"corporation":false,"usgs":false,"family":"Turikunkiko","given":"Ezechiel","email":"","affiliations":[{"id":35969,"text":"Rwanda Development Board, Nyungwe National Park, Kitabi, Rwanda","active":true,"usgs":false}],"preferred":false,"id":815622,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Masozera, Michel K.","contributorId":201300,"corporation":false,"usgs":false,"family":"Masozera","given":"Michel","email":"","middleInitial":"K.","affiliations":[{"id":35968,"text":"Wildlife Conservation Society, Rwanda Program","active":true,"usgs":false}],"preferred":false,"id":815623,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70241468,"text":"70241468 - 2021 - Contrasting geographic patterns of ignition probability and burn severity in the Mojave Desert","interactions":[],"lastModifiedDate":"2024-05-28T15:06:24.269959","indexId":"70241468","displayToPublicDate":"2021-03-29T07:13:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting geographic patterns of ignition probability and burn severity in the Mojave Desert","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb0\">The extent and frequency of fire has increased in many arid systems over the last century, with a large proportion of area in some regions undergoing transitions to novel conditions. Portions of the Mojave Desert in southwestern North America have undergone such transitions, most often from woody to herbaceous-dominated systems. These transitions have often been attributed to the proliferation of invasive annual grasses that promote more frequent fire, but recent evidence indicates that transitions can also occur independent of fire frequency if burn severity is high. In addition, high probability of ignition (i.e., potentially high fire frequency) and high burn severity may not always be geographically related. Therefore, our goals were to: (1) map potential burn severity, fire frequency, and probability of ignition across the Mojave; and, (2) evaluate spatial association among predicted burn severity, fire frequency and probability of ignition. We first mapped perimeters of 250 wildfires &gt; 405 ha that occurred from 1972 to 2010, then extracted data on fire frequency (number of times burned from 1972 to 2010), burn severity (the difference Normalized Burn Ratio), and 15 predictor variables representing physiography, climate, ignition, and vegetation. Maximum entropy was used to predict probability of ignition and Random Forest models were used to predict dNBR and fire frequency. Areas with high burn severity and high ignition probability had opposite spatial trends; areas with high burn severity were predicted to predominantly be in the northwest part of the region whereas areas with high ignition probability were predicted to be in the northeast. The models indicate the existence of a number of spatially structured but temporally dynamic fire regimes throughout the Mojave Desert. Two prevalent and ecologically significant regimes include one with frequent fires of low to moderate severity and another with infrequent fire of high severity. Areas with high fire frequency are currently limited in extent (&lt;1% total area). However, cover of invasive grasses can remain high decades after a burn of high or moderate severity, so grass-fire cycles could develop in areas where there may be expectations of infrequent fire as well as those with relatively high fire frequency.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2021.593167","usgsCitation":"Klinger, R.C., Underwood, E.C., McKinley, R., and Brooks, M.L., 2021, Contrasting geographic patterns of ignition probability and burn severity in the Mojave Desert: Frontiers in Ecology and Evolution, v. 9, 593167, 21 p., https://doi.org/10.3389/fevo.2021.593167.","productDescription":"593167, 21 p.","ipdsId":"IP-124858","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":452895,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2021.593167","text":"Publisher Index Page"},{"id":436431,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98JBYVT","text":"USGS data release","linkHelpText":"Morphogroups of Biocrusts Following Seasons of Grazing Near Boise, Idaho"},{"id":436430,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99YGHSJ","text":"USGS data release","linkHelpText":"Fire Regimes in the Mojave Desert (1972-2010)"},{"id":414428,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","otherGeospatial":"Mohave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.18389274792236,\n              37.3209135452762\n            ],\n            [\n              -118.18389274792236,\n              33.102166707544995\n            ],\n            [\n              -111.12809327663763,\n              33.102166707544995\n            ],\n            [\n              -111.12809327663763,\n              37.3209135452762\n            ],\n            [\n              -118.18389274792236,\n              37.3209135452762\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":866931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Underwood, Emma C 0000-0003-1879-9247","orcid":"https://orcid.org/0000-0003-1879-9247","contributorId":298641,"corporation":false,"usgs":false,"family":"Underwood","given":"Emma","email":"","middleInitial":"C","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":866932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKinley, Randy 0000-0001-7644-6365","orcid":"https://orcid.org/0000-0001-7644-6365","contributorId":303257,"corporation":false,"usgs":true,"family":"McKinley","given":"Randy","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":true,"id":866933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":866934,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70244126,"text":"70244126 - 2021 - Brittle fragmentation by rapid gas separation in a Hawaiian fountain","interactions":[],"lastModifiedDate":"2023-06-02T12:17:00.498679","indexId":"70244126","displayToPublicDate":"2021-03-29T07:13:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Brittle fragmentation by rapid gas separation in a Hawaiian fountain","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Brittle fragmentation, generating small pyroclasts from magma, is a key process determining eruptive style. How low-viscosity magma fragments within a rising fountain in a brittle manner, however, is not well understood. Here we describe a fragmentation process in Hawaiian fountains on the basis of observations from the 2018 lower East Rift Zone eruption of Kīlauea Volcano, Hawai’i. The dominant fragmentation mechanism is inertia driven and produces a population of large fluidal pyroclasts. However, when sufficient volcanic gas is released in the fountain, a subpopulation of smaller and more vesicular pyroclasts is generated and entrained into the gas-dominant convective plume. The size distribution of these pyroclasts is similar to that of brittlely fragmented solid materials. The erupted high-vesicularity pyroclasts sometimes preserve a deformed shape. These observations suggest that late-stage rapid expansion lowers the gas temperature adiabatically and cools the outer surface of liquid pyroclasts below the glass transition temperature. The rigid crust fragments as the hot interior attempts to expand due to further volatile diffusion from the melt into bubbles. Adiabatic expansion of volcanic gas occurs in all eruptions. Brittle fragmentation induced by rapid adiabatic cooling may be a widespread process, although of varying importance, in explosive eruptions.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41561-021-00709-0","usgsCitation":"Namiki, A., Patrick, M.R., Manga, M., and Houghton, B.F., 2021, Brittle fragmentation by rapid gas separation in a Hawaiian fountain: Nature Geoscience, v. 14, p. 242-247, https://doi.org/10.1038/s41561-021-00709-0.","productDescription":"6 p.","startPage":"242","endPage":"247","ipdsId":"IP-120364","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":417678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano, Lower East Rift Zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.67762666300914,\n              19.595002711680536\n            ],\n            [\n              -155.67762666300914,\n              18.79643999008502\n            ],\n            [\n              -154.9693124031612,\n              18.79643999008502\n            ],\n            [\n              -154.9693124031612,\n              19.595002711680536\n            ],\n            [\n              -155.67762666300914,\n              19.595002711680536\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2021-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Namiki, Atsuko","contributorId":131170,"corporation":false,"usgs":false,"family":"Namiki","given":"Atsuko","email":"","affiliations":[{"id":7267,"text":"University of Tokyo","active":true,"usgs":false}],"preferred":false,"id":874542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":874543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manga, Michael 0000-0003-3286-4682","orcid":"https://orcid.org/0000-0003-3286-4682","contributorId":265640,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":874544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":874545,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70221572,"text":"70221572 - 2021 - Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales","interactions":[],"lastModifiedDate":"2021-08-03T16:24:51.259862","indexId":"70221572","displayToPublicDate":"2021-03-29T06:45:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales","docAbstract":"<p><span>While wetlands are the largest natural source of methane (CH</span><sub>4</sub><span>) to the atmosphere, they represent a large source of uncertainty in the global CH</span><sub>4</sub><span>&nbsp;budget due to the complex biogeochemical controls on CH</span><sub>4</sub><span>&nbsp;dynamics. Here we present, to our knowledge, the first multi-site synthesis of how predictors of CH</span><sub>4</sub><span>&nbsp;fluxes (FCH4) in freshwater wetlands vary across wetland types at diel, multiday (synoptic), and seasonal time scales. We used several statistical approaches (correlation analysis, generalized additive modeling, mutual information, and random forests) in a wavelet-based multi-resolution framework to assess the importance of environmental predictors, nonlinearities and lags on FCH4 across 23 eddy covariance sites. Seasonally, soil and air temperature were dominant predictors of FCH4 at sites with smaller seasonal variation in water table depth (WTD). In contrast, WTD was the dominant predictor for wetlands with smaller variations in temperature (e.g., seasonal tropical/subtropical wetlands). Changes in seasonal FCH4 lagged fluctuations in WTD by ~17&nbsp;±&nbsp;11&nbsp;days, and lagged air and soil temperature by median values of 8&nbsp;±&nbsp;16 and 5&nbsp;±&nbsp;15&nbsp;days, respectively. Temperature and WTD were also dominant predictors at the multiday scale. Atmospheric pressure (PA) was another important multiday scale predictor for peat-dominated sites, with drops in PA coinciding with synchronous releases of CH</span><sub>4</sub><span>. At the diel scale, synchronous relationships with latent heat flux and vapor pressure deficit suggest that physical processes controlling evaporation and boundary layer mixing exert similar controls on CH</span><sub>4</sub><span>&nbsp;volatilization, and suggest the influence of pressurized ventilation in aerenchymatous vegetation. In addition, 1- to 4-h lagged relationships with ecosystem photosynthesis indicate recent carbon substrates, such as root exudates, may also control FCH4. By addressing issues of scale, asynchrony, and nonlinearity, this work improves understanding of the predictors and timing of wetland FCH4 that can inform future studies and models, and help constrain wetland CH</span><sub>4</sub><span>&nbsp;emissions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15661","usgsCitation":"Knox, S., Bansal, S., McNicol, G., Schafer, K., Sturtevant, C., Ueyama, M., Valach, A., Baldocchi, D., Delwiche, K.B., Desai, A.R., Euskirchen, E.S., Liu, J., Lohila, A., Malhotra, A., Melling, L., Riley, W., Runkle, B.R., Turner, J., Vargas, R., Zhu, Q., Alto, T., Fluet-Chouinard, E., Goeckede, M., Melton, J., Sonnentag, O., Vesala, T., Ward, E., Zhang, Z., Feron, S., Ouyang, Z., Tang, A., Alekseychik, P., Aurela, M., Bohrer, G., Campbell, D.I., Chen, J., Chu, H., Dalmagro, H., Goodrich, J.P., Gottschalk, P., Hirano, T., Iwata, H., Jurasinski, G., Kang, M., Koebsch, F., Mammarella, I., Nilsson, M.B., Ono, K., Peichl, M., Peltola, O., Ryu, Y., Sachs, T., Sakabe, A., Sparks, J., Tuittila, E., Vourlitis, G., Wong, G.X., Windham-Myers, L., Poulter, B., and Jackson, R.B., 2021, Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales: Global Change Biology, v. 27, no. 15, p. 3582-3604, https://doi.org/10.1111/gcb.15661.","productDescription":"23 p.","startPage":"3582","endPage":"3604","ipdsId":"IP-122237","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":452899,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1785295","text":"External Repository"},{"id":386669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"15","noUsgsAuthors":false,"publicationDate":"2021-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Knox, Sarah 0000-0003-2255-5835","orcid":"https://orcid.org/0000-0003-2255-5835","contributorId":167493,"corporation":false,"usgs":false,"family":"Knox","given":"Sarah","affiliations":[{"id":24725,"text":"Ecosystem Science Division, Department of Environmental Science","active":true,"usgs":false}],"preferred":false,"id":818081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bansal, Sheel 0000-0003-1233-1707 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":818082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNicol, Gavin 0000-0002-6655-8045","orcid":"https://orcid.org/0000-0002-6655-8045","contributorId":260536,"corporation":false,"usgs":false,"family":"McNicol","given":"Gavin","email":"","affiliations":[],"preferred":false,"id":818083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schafer, Karina","contributorId":260537,"corporation":false,"usgs":false,"family":"Schafer","given":"Karina","affiliations":[],"preferred":false,"id":818084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sturtevant, Cove","contributorId":167490,"corporation":false,"usgs":false,"family":"Sturtevant","given":"Cove","affiliations":[{"id":24725,"text":"Ecosystem Science Division, Department of Environmental Science","active":true,"usgs":false}],"preferred":false,"id":818085,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ueyama, Masahito 0000-0002-4000-4888","orcid":"https://orcid.org/0000-0002-4000-4888","contributorId":217432,"corporation":false,"usgs":false,"family":"Ueyama","given":"Masahito","email":"","affiliations":[{"id":39629,"text":"Osaka Prefecture University","active":true,"usgs":false}],"preferred":false,"id":818086,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Valach, Alex","contributorId":260538,"corporation":false,"usgs":false,"family":"Valach","given":"Alex","affiliations":[],"preferred":false,"id":818087,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baldocchi, Dennis 0000-0003-3496-4919","orcid":"https://orcid.org/0000-0003-3496-4919","contributorId":260539,"corporation":false,"usgs":false,"family":"Baldocchi","given":"Dennis","email":"","affiliations":[],"preferred":false,"id":818088,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Delwiche, Kyle B.","contributorId":139866,"corporation":false,"usgs":false,"family":"Delwiche","given":"Kyle","email":"","middleInitial":"B.","affiliations":[{"id":13299,"text":"Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":818089,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Desai, Ankur R. 0000-0002-5226-6041","orcid":"https://orcid.org/0000-0002-5226-6041","contributorId":20622,"corporation":false,"usgs":false,"family":"Desai","given":"Ankur","email":"","middleInitial":"R.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":818090,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Euskirchen, Eugenie S. 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,{"id":70219439,"text":"70219439 - 2021 - Effects of long-term cortisol treatment on growth and osmoregulation of Atlantic salmon and brook trout","interactions":[],"lastModifiedDate":"2021-04-08T11:47:10.027508","indexId":"70219439","displayToPublicDate":"2021-03-29T06:44:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1738,"text":"General and Comparative Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of long-term cortisol treatment on growth and osmoregulation of Atlantic salmon and brook trout","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">Cortisol is the final product of the hypothalamic-pituitary-interrenal (HPI) axis and acts as a gluco- and mineralo-corticoid in fish. Long-term elevations of cortisol have been linked to reduced growth in fishes, but the mechanism(s) and relative sensitivities of species are still unclear. We carried out experiments to examine the relative effects of cortisol on growth and gill NKA activity in two salmonids: Atlantic salmon (<i>Salmo salar</i>) and brook trout (<i>Salvelinus fontinalis</i>). Treatment with intraperitoneal cortisol implants for 30&nbsp;days resulted in reduced growth in both species, but with greater sensitivity to cortisol in brook trout. Gill NKA activity was strongly upregulated by cortisol in Atlantic salmon, and weakly upregulated in brook trout but with no statistically significant effect. Cortisol treatment resulted in reduced plasma levels of insulin-like growth factor I and increased plasma growth hormone levels in Atlantic salmon. Our results demonstrate that there are species differences in the sensitivity of growth and osmoregulation to cortisol, even among species in the same family (Salmonidae).</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ygcen.2021.113769","usgsCitation":"Vargas-Chacoff, L., Regish, A.M., Weinstock, A., Bjornsson, B., and McCormick, S.D., 2021, Effects of long-term cortisol treatment on growth and osmoregulation of Atlantic salmon and brook trout: General and Comparative Endocrinology, v. 308, 113769, 8 p., https://doi.org/10.1016/j.ygcen.2021.113769.","productDescription":"113769, 8 p.","ipdsId":"IP-123066","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":384895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"308","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vargas-Chacoff, Luis","contributorId":215729,"corporation":false,"usgs":false,"family":"Vargas-Chacoff","given":"Luis","email":"","affiliations":[{"id":39306,"text":"Universidad Austral de Chile, Valdivia, Chile","active":true,"usgs":false}],"preferred":false,"id":813572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regish, Amy M. 0000-0003-4747-4265 aregish@usgs.gov","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":5415,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"aregish@usgs.gov","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":813573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weinstock, A.","contributorId":256952,"corporation":false,"usgs":false,"family":"Weinstock","given":"A.","affiliations":[{"id":51914,"text":"New York Water Agency","active":true,"usgs":false}],"preferred":false,"id":813574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bjornsson, B Th","contributorId":256953,"corporation":false,"usgs":false,"family":"Bjornsson","given":"B Th","affiliations":[{"id":33123,"text":"University of Gothenburg, Gothenburg, Sweden","active":true,"usgs":false}],"preferred":false,"id":813575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":813576,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70222493,"text":"70222493 - 2021 - Aquatic ecosystem metabolism as a tool in environmental management","interactions":[],"lastModifiedDate":"2021-07-30T12:57:42.346494","indexId":"70222493","displayToPublicDate":"2021-03-28T07:56:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic ecosystem metabolism as a tool in environmental management","docAbstract":"Recent advances in high-frequency environmental sensing and statistical approaches have greatly expanded the breadth of knowledge regarding aquatic ecosystem metabolism - the measurement and interpretation of gross primary productivity (GPP) and ecosystem respiration (ER). Aquatic scientists are poised to take advantage of widely available datasets and freely-available modeling tools to apply functional information gained through ecosystem metabolism to better environmental management. Historically, several logistical and conceptual factors have limited the widespread application of metabolism in management settings. Benefitting from new instrumental and modeling tools, it is now relatively straightforward to extend routine monitoring of dissolved oxygen (DO) to dynamic measures of aquatic ecosystem function (GPP & ER) and key physical processes such as gas exchange with the atmosphere (G). We review the current approaches for using DO data in environmental management with a focus on the United States, but briefly describe management frameworks in Europe and Canada. We highlight new applications of diel DO data and metabolism in regulatory settings and explore how they can be applied to managing and monitoring ecosystems. We then review existing data types and provide a short guide for implementing field measurements and modeling of ecosystem metabolic processes using currently available tools. Finally, we discuss research needed to overcome current conceptual limitations of applying metabolism in management settings. Despite challenges associated with modeling metabolism in rivers and lakes, rapid developments in this field have moved us closer to utilizing real-time estimates of GPP, ER and G to improve the assessment and management of environmental change.","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1521","usgsCitation":"Jankowski, K.J., Mejia, F.H., Blaszczak, J., and Holtgrieve, G.W., 2021, Aquatic ecosystem metabolism as a tool in environmental management: WIREs Water, v. 8, no. 4, e1521, 27 p., https://doi.org/10.1002/wat2.1521.","productDescription":"e1521, 27 p.","ipdsId":"IP-122380","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":387577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Jankowski, Kathi Jo 0000-0002-3292-4182","orcid":"https://orcid.org/0000-0002-3292-4182","contributorId":207429,"corporation":false,"usgs":true,"family":"Jankowski","given":"Kathi","email":"","middleInitial":"Jo","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mejia, Francine H. 0000-0003-4447-231X","orcid":"https://orcid.org/0000-0003-4447-231X","contributorId":214345,"corporation":false,"usgs":true,"family":"Mejia","given":"Francine","email":"","middleInitial":"H.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":820305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blaszczak, Joanna 0000-0001-5122-0829","orcid":"https://orcid.org/0000-0001-5122-0829","contributorId":225159,"corporation":false,"usgs":false,"family":"Blaszczak","given":"Joanna","email":"","affiliations":[{"id":41055,"text":"Natural Resources and Environmental Science, University of Nevada, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":false,"id":820306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holtgrieve, Gordon W. 0000-0002-4451-3567","orcid":"https://orcid.org/0000-0002-4451-3567","contributorId":213257,"corporation":false,"usgs":false,"family":"Holtgrieve","given":"Gordon","email":"","middleInitial":"W.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":820307,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70222492,"text":"70222492 - 2021 - Extreme precipitation across adjacent burned and unburned watersheds reveals impacts of low severity wildfire on debris-flow processes","interactions":[],"lastModifiedDate":"2021-07-30T14:27:52.067847","indexId":"70222492","displayToPublicDate":"2021-03-28T07:54:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6483,"text":"Journal of Geophysical Research-Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Extreme precipitation across adjacent burned and unburned watersheds reveals impacts of low severity wildfire on debris-flow processes","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>In steep landscapes, wildfire-induced changes to soil and vegetation can lead to extreme and hazardous geomorphic responses, including debris flows. The wildfire-induced mechanisms that lead to heightened geomorphic responses, however, depend on many site-specific factors including regional climate, vegetation, soil texture, and soil burn severity. As climate and land use change drive changes in fire regime, there is an increasing need to understand how fire alters geomorphic responses, particularly in areas where fire has been historically infrequent. Here, we examine differences in the initiation, magnitude, and particle-size distribution of debris flows that initiated within the area burned by the 2019 Woodbury Fire in central Arizona, USA, and those that initiated in a nearby unburned area. Despite similar rainfall intensities, unburned watersheds were less likely to produce debris flows. Debris flows in unburned areas initiated from both runoff and shallow landslides, while debris flows only initiated from runoff-related processes in the burned area. The grain-size distribution making up the matrix of debris-flow deposits within the burned area generally had a lower ratio of sand to silt relative to debris flows that initiated in the unburned area, though there were no systematic differences in the coarse fraction of debris-flow sediment between burned and unburned areas. Results help expand our ability to predict postwildfire debris-flow activity in a wider range of settings, specifically the Sonoran Desert ecoregion, and provide general insight into the impact of wildfire on geomorphic processes in steep terrain.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JF005997","usgsCitation":"McGuire, L.A., Youberg, A.M., Rengers, F.K., Abramson, N.S., Ganesh, I., Gorr, A., Hoch, O., Johnson, J.C., Lamom, P., Prescott, A.B., Zanetell, J., and Fenerty, B., 2021, Extreme precipitation across adjacent burned and unburned watersheds reveals impacts of low severity wildfire on debris-flow processes: Journal of Geophysical Research-Earth Surface, v. 126, no. 4, e2020JF005997, 21 p., https://doi.org/10.1029/2020JF005997.","productDescription":"e2020JF005997, 21 p.","ipdsId":"IP-126873","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":387601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","city":"Phoenix","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.69775390625,\n              33.119150226768866\n            ],\n            [\n              -111.62109375,\n              33.119150226768866\n            ],\n            [\n              -111.62109375,\n              34.03445260967645\n            ],\n            [\n              -112.69775390625,\n              34.03445260967645\n            ],\n            [\n              -112.69775390625,\n              33.119150226768866\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"126","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"McGuire, Luke A. 0000-0001-8178-7922 lmcguire@usgs.gov","orcid":"https://orcid.org/0000-0001-8178-7922","contributorId":203420,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":820292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Youberg, Ann M. 0000-0002-2005-3674","orcid":"https://orcid.org/0000-0002-2005-3674","contributorId":172609,"corporation":false,"usgs":false,"family":"Youberg","given":"Ann","email":"","middleInitial":"M.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address:  TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":true,"id":820293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abramson, Nathan S.","contributorId":261629,"corporation":false,"usgs":false,"family":"Abramson","given":"Nathan","email":"","middleInitial":"S.","affiliations":[{"id":52636,"text":"Department of Geosciences, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":820295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ganesh, Indujaa","contributorId":261631,"corporation":false,"usgs":false,"family":"Ganesh","given":"Indujaa","email":"","affiliations":[{"id":52943,"text":"Lunar and Planetary Laboratory, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":820296,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gorr, Alex N.","contributorId":261633,"corporation":false,"usgs":false,"family":"Gorr","given":"Alex N.","affiliations":[{"id":52636,"text":"Department of Geosciences, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":820297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoch, Olivia","contributorId":261634,"corporation":false,"usgs":false,"family":"Hoch","given":"Olivia","affiliations":[{"id":52636,"text":"Department of Geosciences, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":820298,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Justin C.","contributorId":261635,"corporation":false,"usgs":false,"family":"Johnson","given":"Justin","email":"","middleInitial":"C.","affiliations":[{"id":47959,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":820299,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lamom, Patt","contributorId":261636,"corporation":false,"usgs":false,"family":"Lamom","given":"Patt","email":"","affiliations":[{"id":52636,"text":"Department of Geosciences, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":820300,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Prescott, Alexander B.","contributorId":261637,"corporation":false,"usgs":false,"family":"Prescott","given":"Alexander","email":"","middleInitial":"B.","affiliations":[{"id":52636,"text":"Department of Geosciences, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":820301,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zanetell, Jessica","contributorId":261638,"corporation":false,"usgs":false,"family":"Zanetell","given":"Jessica","email":"","affiliations":[{"id":52946,"text":"Program in Applied Mathematics, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":820302,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fenerty, Brendan","contributorId":261639,"corporation":false,"usgs":false,"family":"Fenerty","given":"Brendan","email":"","affiliations":[{"id":52636,"text":"Department of Geosciences, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":820303,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70261207,"text":"70261207 - 2021 - Ongoing (2015-) magma surge in the upper mantle beneath the Island of Hawaiʻi","interactions":[],"lastModifiedDate":"2024-11-29T15:41:57.196823","indexId":"70261207","displayToPublicDate":"2021-03-27T09:37:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Ongoing (2015-) magma surge in the upper mantle beneath the Island of Hawaiʻi","docAbstract":"<p><span>“Surges” in magma supply from the mantle can lead to significant changes in eruptive behavior, thus their early identification is critical to long-term eruption forecasting. Here, we document and analyze two order-of-magnitude increases in seismicity in the upper mantle beneath southern Hawaiʻi between 2015 and 2020. We interpret the anomalous seismicity, which involved the rapid formation of new multiplets and a change in fault-plane solution orientations relative to pre-2015 events, as reflecting a substantial increase, or “surge” in mantle-derived magma, and we suggest that the intruded magma has been driving concurrent unrest at Mauna Loa, Kīlauea, and Lōʻihi Volcanoes through mechanical stress transfer.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020GL091096","usgsCitation":"Burgess, M., and Roman, D., 2021, Ongoing (2015-) magma surge in the upper mantle beneath the Island of Hawaiʻi: Geophysical Research Letters, v. 48, e2020GL091096, 10 p., https://doi.org/10.1029/2020GL091096.","productDescription":"e2020GL091096, 10 p.","ipdsId":"IP-122333","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":464594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Island of Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.28390412198456,\n              20.329901209379784\n            ],\n            [\n              -156.28390412198456,\n              18.85680055387806\n            ],\n            [\n              -154.72761987006822,\n              18.85680055387806\n            ],\n            [\n              -154.72761987006822,\n              20.329901209379784\n            ],\n            [\n              -156.28390412198456,\n              20.329901209379784\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","noUsgsAuthors":false,"publicationDate":"2021-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Burgess, Matthew 0000-0002-2828-8910","orcid":"https://orcid.org/0000-0002-2828-8910","contributorId":215625,"corporation":false,"usgs":false,"family":"Burgess","given":"Matthew","affiliations":[],"preferred":false,"id":919858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roman, Diana","contributorId":237832,"corporation":false,"usgs":false,"family":"Roman","given":"Diana","affiliations":[{"id":47620,"text":"Dept. of Terrestrial Magnetism, Carnegie Institution for Science, Washington DC 20015","active":true,"usgs":false}],"preferred":false,"id":919859,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70233584,"text":"70233584 - 2021 - Brood provisioning rates and fledgling behavior of Cordilleran Flycatchers in southwestern Colorado","interactions":[],"lastModifiedDate":"2022-07-27T12:23:29.395596","indexId":"70233584","displayToPublicDate":"2021-03-27T07:21:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Brood provisioning rates and fledgling behavior of Cordilleran Flycatchers in southwestern Colorado","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The behavior of young songbirds after fledging is one of the least understood phases of the breeding cycle, although parental provisioning rates and movement of fledglings are key to understanding life history evolution. We studied Cordilleran Flycatchers (<i>Empidonax occidentalis</i>) at two sites in southwestern Colorado, USA, from 2012 to 2017. We banded and sexed breeding adults to determine the relative contributions of males and females to nestling and fledgling care, and attached radio-transmitters to nestlings to facilitate observations of brood behavior after fledging. Females made 60% and 78% of total observed feedings of nestlings and fledglings, respectively. Parental provisioning rates increased with nestling age, and per-nestling provisioning rates increased with brood size. Parental provisioning rates declined just before fledging, then increased just after fledging. Fledging times of individuals in broods were asynchronous and concentrated during the late afternoon and early evening. Males stopped caring for fledglings before females even though this species is single-brooded, with some late-season broods being abandoned by males. Broods spent the first three weeks after fledging within 400&nbsp;m of nests, after which they began to disperse. Most aspects of the breeding biology of Cordilleran Flycatchers in our study, including the duration of nestling and fledging periods, female-dominated provisioning, and movement patterns of fledglings, were similar to those of other<span>&nbsp;</span><i>Empidonax</i><span>&nbsp;</span>species. However, the times when young fledged were not concentrated in the morning as reported in most other songbirds, and this result warrants additional study of the timing of fledging in ecologically and taxonomically similar species. The increased per-nestling provisioning rate with increasing brood size was unexpected, and additional study is needed to determine if this increase results from a trade-off between adult annual survival and productivity favoring increased provisioning of young in larger broods, or from the existence of high-quality individuals where larger clutches and higher provisioning rates are linked.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/jofo.12361","usgsCitation":"Darrah, A.J., and van Riper, C., 2021, Brood provisioning rates and fledgling behavior of Cordilleran Flycatchers in southwestern Colorado: Journal of Field Ornithology, v. 92, no. 1, p. 30-42, https://doi.org/10.1111/jofo.12361.","productDescription":"13 p.","startPage":"30","endPage":"42","ipdsId":"IP-125539","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":404487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.9404296875,\n              37.020098201368114\n            ],\n            [\n              -104.0625,\n              37.020098201368114\n            ],\n            [\n              -104.0625,\n              39.33429742980725\n            ],\n            [\n              -108.9404296875,\n              39.33429742980725\n            ],\n            [\n              -108.9404296875,\n              37.020098201368114\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"92","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Darrah, Abigail J.","contributorId":207426,"corporation":false,"usgs":false,"family":"Darrah","given":"Abigail","email":"","middleInitial":"J.","affiliations":[{"id":37538,"text":"Audubon Mississippi, 5009 Main Street, Moss Point, MS 39563","active":true,"usgs":false}],"preferred":false,"id":847481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":847482,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70220478,"text":"70220478 - 2021 - Transcriptome assembly and differential gene expression of the invasive avian malaria parasite Plasmodium relictum in Hawaiʻi","interactions":[],"lastModifiedDate":"2021-05-14T12:26:20.289072","indexId":"70220478","displayToPublicDate":"2021-03-27T07:18:25","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Transcriptome assembly and differential gene expression of the invasive avian malaria parasite Plasmodium relictum in Hawaiʻi","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The malaria parasite<span>&nbsp;</span><i>Plasmodium relictum</i><span>&nbsp;</span>(lineage GRW4) was introduced less than a century ago to the native avifauna of Hawaiʻi, where it has since caused major declines of endemic bird populations. One of the native bird species that is frequently infected with GRW4 is the Hawaiʻi ʻamakihi (<i>Chlorodrepanis virens</i>). To achieve a better understanding of the transcriptional activities of this virulent parasite, we performed a controlled challenge experiment of 15 ʻamakihi that were infected with GRW4. Blood samples containing malaria parasites were collected at two time points (intermediate and peak infection stages) from host individuals that were either experimentally infected by mosquitoes or inoculated with infected blood. We then used RNA sequencing to assemble a high‐quality blood transcriptome of<span>&nbsp;</span><i>P.&nbsp;relictum</i><span>&nbsp;</span>GRW4, allowing us to quantify parasite expression levels inside individual birds. We found few significant differences (one to two transcripts) in GRW4 expression levels between host infection stages and between inoculation methods. However, 36 transcripts showed differential expression levels among all host individuals, indicating a potential presence of host‐specific gene regulation across hosts. To reduce the extinction risk of the remaining native bird species in Hawaiʻi, genetic resources of the local<span>&nbsp;</span><i>Plasmodium</i><span>&nbsp;</span>lineage are needed to enable further molecular characterization of this parasite. Our newly built Hawaiian GRW4 transcriptome assembly, together with analyses of the parasite's transcriptional activities inside the blood of Hawaiʻi ʻamakihi, can provide us with important knowledge on how to combat this deadly avian disease in the future.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7401","usgsCitation":"Videvall, E., Paxton, K.L., Campana, M.G., Cassin-Sackett, L., Atkinson, C.T., and Fleischer, R., 2021, Transcriptome assembly and differential gene expression of the invasive avian malaria parasite Plasmodium relictum in Hawaiʻi: Ecology and Evolution, v. 11, no. 9, p. 4935-4944, https://doi.org/10.1002/ece3.7401.","productDescription":"10 p.","startPage":"4935","endPage":"4944","ipdsId":"IP-124721","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":452914,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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,{"id":70229048,"text":"70229048 - 2021 - Rapid phenotypic stock identification of Chinook Salmon in recreational fishery management","interactions":[],"lastModifiedDate":"2022-02-28T17:07:27.415281","indexId":"70229048","displayToPublicDate":"2021-03-26T11:02:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Rapid phenotypic stock identification of Chinook Salmon in recreational fishery management","docAbstract":"<p><span>Rapid phenotypic stock identification in mixed-stock fisheries can provide a useful alternative to more time-intensive methods (e.g., coded wire tags, genetics) in assessing harvest and informing management decisions. We leveraged local ecological knowledge, existing stock identification methods, and understanding of life history differences to develop rapid stock identification tools for fall-run Chinook Salmon&nbsp;</span><i>Oncorhynchus tshawytscha</i><span>&nbsp;encountered in the Buoy 10 recreational fishery at the mouth of the Columbia River. Specifically, we sought to differentiate between the fishery’s two dominant genetic lineages: lower river tules and upriver brights. We sampled recreationally landed Chinook Salmon in 2017, 2018, and 2019, assigned sampled individuals to functional reporting groups using a single-nucleotide-polymorphism-based genetic baseline, and collected measurements on phenotypic traits. Using traits including pigmentation patterns (e.g., spotting), fin morphology, characteristics indicative of sexual maturity, and muscle lipid content, random forest classification models provided consistently high classification success across and within genetic groups (i.e., up to 90%). Classification success remained consistent over time within fishery seasons and between years but showed meaningful bias between sexes. Based on observed classification success, we developed and evaluated a categorical visual identification guide capable of facilitating more rapid trait observations and on-site stock identification. The resulting classification key, built using classification trees and visual guide observations from 2019, achieved slightly lower classification success across and within genetic groups and had variable success among samplers. Compared with the existing use of coded wire tags in harvest assessment, phenotypic stock identification methods can provide more rapid and more numerous assignments, albeit with a greater degree of individual assignment error. Applied as a complement to standard methods like coded wire tags, the use of rapid phenotypic stock identification methods offers the potential for increased overall precision and timeliness in harvest assessments.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10145","usgsCitation":"Jensen, A.J., Schreck, C., and Peterson, J., 2021, Rapid phenotypic stock identification of Chinook Salmon in recreational fishery management: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 13, no. 2, p. 99-112, https://doi.org/10.1002/mcf2.10145.","productDescription":"14 p.","startPage":"99","endPage":"112","ipdsId":"IP-120670","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":452917,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10145","text":"Publisher Index Page"},{"id":396565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.19219970703125,\n              46.07894655768008\n            ],\n            [\n              -123.42041015624999,\n              46.07894655768008\n            ],\n            [\n              -123.42041015624999,\n              46.4056700993737\n            ],\n            [\n              -124.19219970703125,\n              46.4056700993737\n            ],\n            [\n              -124.19219970703125,\n              46.07894655768008\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Jensen, Alexander J.","contributorId":286918,"corporation":false,"usgs":false,"family":"Jensen","given":"Alexander","email":"","middleInitial":"J.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":836360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreck, Carl B.","contributorId":286917,"corporation":false,"usgs":false,"family":"Schreck","given":"Carl B.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":836359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":836358,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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