{"pageNumber":"104","pageRowStart":"2575","pageSize":"25","recordCount":165309,"records":[{"id":70263535,"text":"70263535 - 2025 - Constraining the earthquake recording threshold of intraslab earthquakes with turbidites in southcentral Alaska’s lakes and fjords","interactions":[],"lastModifiedDate":"2025-02-13T16:02:28.444976","indexId":"70263535","displayToPublicDate":"2024-11-27T09:54:54","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"14","title":"Constraining the earthquake recording threshold of intraslab earthquakes with turbidites in southcentral Alaska’s lakes and fjords","docAbstract":"<p><span>Strong ground motion from intraslab earthquakes, which do not produce primary paleoseismic evidence, may initiate gravity-driven turbidity flows in subaqueous basins. The resulting deposits (turbidites) can provide a paleoseismic proxy if the conditions that initiate these flows are known. To better constrain the initiating conditions, we use two recent intraslab earthquakes in southcentral Alaska, the&nbsp;</span><i>M</i><span>&nbsp;</span><sub>w</sub><span>&nbsp;7.1 30 November 2018 Anchorage earthquake and the&nbsp;</span><i>M</i><span>&nbsp;</span><sub>w</sub><span>&nbsp;7.1 24 January 2016 Iniskin earthquake, as calibration events. Through a multilake investigation, we document the occurrence, or the absence, of earthquake-generated turbidity flows from these two events. Both earthquakes are recorded by centimeter-scale turbidites that can be differentiated from climatically generated deposits, as well as other seismic sources based on deposit thickness, sedimentological properties, and deposit age. We show that a Modified Mercalli Intensity (MMI) of ∼V–V1/2 is the minimum shaking intensity required to generate localized sediment remobilization from deltaic slopes, and an MMI of ∼V1/2 is required to produce a deposit of sufficient thickness that a seismic origin can be confidently assigned. The documentation of seismically generated deposits in quick succession (∼2 years) with diagnostic features highlights the utility of using recent earthquakes as calibration events to investigate the subaqueous response to strong ground motion.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tectonics and seismic structure of Alaska and northwestern Canada: EarthScope and beyond","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781394195947.ch14","usgsCitation":"Singleton, D.M., Brothers, D., Haeussler, P., Witter, R., and Hill, J.C., 2025, Constraining the earthquake recording threshold of intraslab earthquakes with turbidites in southcentral Alaska’s lakes and fjords, chap. 14 <i>of</i> Tectonics and seismic structure of Alaska and northwestern Canada: EarthScope and beyond, p. 389-418, https://doi.org/10.1002/9781394195947.ch14.","productDescription":"30 p.","startPage":"389","endPage":"418","ipdsId":"IP-149309","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":482031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","noUsgsAuthors":false,"publicationDate":"2024-12-13","publicationStatus":"PW","contributors":{"editors":[{"text":"Ruppert, Natalia A.","contributorId":89117,"corporation":false,"usgs":true,"family":"Ruppert","given":"Natalia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":927366,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jadamec, M.","contributorId":83326,"corporation":false,"usgs":true,"family":"Jadamec","given":"M.","email":"","affiliations":[],"preferred":false,"id":927367,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Freymueller, Jeffrey T.","contributorId":97458,"corporation":false,"usgs":true,"family":"Freymueller","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":927368,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Singleton, Drake Moore 0000-0001-5346-0623","orcid":"https://orcid.org/0000-0001-5346-0623","contributorId":261207,"corporation":false,"usgs":true,"family":"Singleton","given":"Drake","email":"","middleInitial":"Moore","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":927292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brothers, Daniel S. 0000-0001-7702-157X","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":210199,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel S.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":927293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":927294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":927295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hill, Jenna C. 0000-0002-7475-357X","orcid":"https://orcid.org/0000-0002-7475-357X","contributorId":21987,"corporation":false,"usgs":true,"family":"Hill","given":"Jenna","email":"","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":927296,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70264974,"text":"70264974 - 2025 - Tectonic tremor observations across Alaska","interactions":[],"lastModifiedDate":"2025-03-27T14:56:35.624651","indexId":"70264974","displayToPublicDate":"2024-11-27T09:42:12","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"Tectonic tremor observations across Alaska","docAbstract":"<p><span>Tectonic tremor is a semicontinuous, low-frequency seismic signal associated with stable fault motion at major plate boundaries worldwide. In subduction zones, tremor often coincides with geodetic transients that indicate discrete slow slip on the subducting plate interface. Because tremor epicenters offer better spatial and temporal resolution than geodetic inversions of slip, detecting tremor can provide important constraints on plate interface properties, coupling, and dynamics. But in Alaska, challenges abound. The geographic scale of the Alaska–Aleutian subduction zone, the limited land available for instruments in the Aleutian Islands, and the messy nature of the tremor signal itself inhibit efforts to uniformly catalog tremor. Here, I present an overview of such efforts and what can and cannot be inferred from where tremor has been observed. Reliable tremor observations are confined to south-central Alaska in conjunction with the subducting Yakutat microplate, and one section of the eastern Aleutian Islands near Unalaska, with scant evidence of tremor elsewhere. Unique fault interface conditions may explain why tremor is limited to these regions, but most null results are not robust, and the limited observations preclude any large-scale interpretations.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tectonics and seismic structure of Alaska and northwestern Canada: EarthScope and beyond","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781394195947.ch11","usgsCitation":"Wech, A., 2025, Tectonic tremor observations across Alaska, chap. 11 <i>of</i> Tectonics and seismic structure of Alaska and northwestern Canada: EarthScope and beyond, p. 325-334, https://doi.org/10.1002/9781394195947.ch11.","productDescription":"10 p.","startPage":"325","endPage":"334","ipdsId":"IP-152910","costCenters":[{"id":617,"text":"Volcano Science 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,{"id":70263473,"text":"70263473 - 2025 - Perspectives on transportable array Alaska background noise levels","interactions":[],"lastModifiedDate":"2025-02-12T15:21:12.762557","indexId":"70263473","displayToPublicDate":"2024-11-27T09:14:46","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"Perspectives on transportable array Alaska background noise levels","docAbstract":"<p><span>Background seismic noise fundamentally sets a lower bound on our ability to record signals arising from earthquakes. The background noise spectrum at a station is a combination of cultural noise, ocean-generated microseism noise, intrinsic instrument self-noise, and the sensitivity of the instrument to nonseismic noise sources. The USArray-Transportable Array Alaska deployed 195 stations across Alaska and parts of Canada (Yukon, British Columbia, and Northwest Territories). These stations were all installed using similar techniques and made use of instruments with similar self-noise levels. As such, this network provides an opportunity to look at how geographic location influences seismic background. Using these broadband stations, we report background noise levels from 0.2 to 75 s period in six discrete bands. By constructing “noise maps,” we depict both spatial and temporal changes in the background noise field. Using these maps, combined with targeted analysis, we infer sources and contributing factors to noise levels in these different period bands. These include cultural noise, the formation of sea ice, seasonal changes in permafrost and wave activity in the Gulf of Alaska, and magnetic field variability. We use this study as an opportunity to review several previous studies examining seismic noise in Arctic regions.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tectonics and seismic structure of Alaska and northwestern Canada: EarthScope and beyond","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781394195947.ch2","usgsCitation":"Ringler, A.T., Aderhold, K., Anthony, R.E., Busby, R., Frassetto, A., Tanimoto, T., and Wilson, D.C., 2025, Perspectives on transportable array Alaska background noise levels, chap. 2 <i>of</i> Tectonics and seismic structure of Alaska and northwestern Canada: EarthScope and beyond, p. 15-44, https://doi.org/10.1002/9781394195947.ch2.","productDescription":"30 p.","startPage":"15","endPage":"44","ipdsId":"IP-151312","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":481975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-12-13","publicationStatus":"PW","contributors":{"editors":[{"text":"Ruppert, Natalia A.","contributorId":89117,"corporation":false,"usgs":true,"family":"Ruppert","given":"Natalia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":927169,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jadamec, M.","contributorId":83326,"corporation":false,"usgs":true,"family":"Jadamec","given":"M.","email":"","affiliations":[],"preferred":false,"id":927170,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Freymueller, Jeffery T. 0000-0003-0614-0306","orcid":"https://orcid.org/0000-0003-0614-0306","contributorId":244609,"corporation":false,"usgs":false,"family":"Freymueller","given":"Jeffery","email":"","middleInitial":"T.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":927171,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"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":927092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aderhold, Kasey","contributorId":350834,"corporation":false,"usgs":false,"family":"Aderhold","given":"Kasey","affiliations":[{"id":83843,"text":"Earthscope","active":true,"usgs":false}],"preferred":false,"id":927094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":927093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Busby, Robert W.","contributorId":350835,"corporation":false,"usgs":false,"family":"Busby","given":"Robert W.","affiliations":[{"id":83843,"text":"Earthscope","active":true,"usgs":false}],"preferred":false,"id":927095,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frassetto, Andy","contributorId":350836,"corporation":false,"usgs":false,"family":"Frassetto","given":"Andy","affiliations":[{"id":83843,"text":"Earthscope","active":true,"usgs":false}],"preferred":false,"id":927096,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tanimoto, Toshiro","contributorId":350837,"corporation":false,"usgs":false,"family":"Tanimoto","given":"Toshiro","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":927097,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":927098,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261572,"text":"70261572 - 2025 - Evaluation of the gap intercept method to measure rangeland connectivity","interactions":[],"lastModifiedDate":"2024-12-16T16:15:42.684883","indexId":"70261572","displayToPublicDate":"2024-11-26T10:06:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6002,"text":"Rangeland Ecology & Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the gap intercept method to measure rangeland connectivity","docAbstract":"<p><span>Characterizing the connectivity of materials, organisms, and energy on rangelands is critical to understanding and managing ecosystem response to disturbances. For over twenty years, scientists and rangeland managers have used the gap intercept method to monitor connectivity. However, using gap intercept measurements to infer ecosystem processes or inform management actions and conservation practices on rangelands has been limited because there are few tools and syntheses to help managers pragmatically interpret gap measurements. In this synthesis, we review the different ways the gap intercept method is conducted and highlight considerations when collecting and using gap intercept data. We discuss what is known about how gap intercept data can be used to assess wind and water erosion, biocrust abundance and composition, soil fertility, plant community dynamics, wildlife habitat characteristics, and fuel connectivity and fire behavior. Finally, we identify emerging opportunities regarding the collection and use of gap intercept data to assess rangeland connectivity, ecosystem function, and ecological processes. Through this synthesis we demonstrate the value of the gap intercept method, particularly “all-plant” (i.e., whole-community) canopy gap, in supporting assessments of rangeland condition and vulnerability, and in planning future management actions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.09.001","usgsCitation":"McCord, S.E., Brehm, J.R., Condon, L.A., Dreesmann, L., Ellsworth, L., Germino, M., Herrick, J.E., Howard, B.K., Kachergis, E., Karl, J.W., Knight, A.C., Meadors, S., Nafus, A., Newingham, B.A., Olsoy, P.J., Pietrasiak, N., Pilliod, D., Schaefer, A., Webb, N.P., Wheeler, B.E., Williams, C., and Young, K., 2025, Evaluation of the gap intercept method to measure rangeland connectivity: Rangeland Ecology & Management, v. 98, p. 297-315, https://doi.org/10.1016/j.rama.2024.09.001.","productDescription":"19 p.","startPage":"297","endPage":"315","ipdsId":"IP-160407","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science 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0000-0002-8785-0459","orcid":"https://orcid.org/0000-0002-8785-0459","contributorId":317761,"corporation":false,"usgs":false,"family":"Olsoy","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":921082,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Pietrasiak, Nicole","contributorId":174259,"corporation":false,"usgs":false,"family":"Pietrasiak","given":"Nicole","email":"","affiliations":[{"id":27402,"text":"Department of Biology, John Carroll University, University Heights, Ohio 4118","active":true,"usgs":false}],"preferred":false,"id":921083,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":921084,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Schaefer, Anthony","contributorId":347229,"corporation":false,"usgs":false,"family":"Schaefer","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":921085,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Webb, Nicholas P.","contributorId":195924,"corporation":false,"usgs":false,"family":"Webb","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[{"id":6973,"text":"USDA-ARS Jornada Experimental Range and Jornada Basin LTER, Las Cruces, NM; New Mexico State University, Dept. of Plant and Environmental Sciences, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":921086,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Wheeler, Brandi E.","contributorId":334182,"corporation":false,"usgs":false,"family":"Wheeler","given":"Brandi","email":"","middleInitial":"E.","affiliations":[{"id":80080,"text":"USDA-ARS Jornada Experimental Range, Las Cruces, NM, USA","active":true,"usgs":false}],"preferred":false,"id":921087,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Williams, C. Jason","contributorId":292512,"corporation":false,"usgs":false,"family":"Williams","given":"C. Jason","affiliations":[{"id":62926,"text":"Agricultural Research Service, U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":921088,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Young, Kristina E.","contributorId":195945,"corporation":false,"usgs":false,"family":"Young","given":"Kristina E.","affiliations":[],"preferred":false,"id":921089,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70262089,"text":"70262089 - 2025 - U.S. Geological Survey research and assessments supporting carbon dioxide removal","interactions":[],"lastModifiedDate":"2025-01-13T15:21:36.376397","indexId":"70262089","displayToPublicDate":"2024-11-26T09:17:50","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"U.S. Geological Survey research and assessments supporting carbon dioxide removal","docAbstract":"<p><span>Both carbon capture and storage (CCS) and carbon dioxide removal (CDR) are methods to limit future global temperature rise and ocean acidification. CCS sequesters (stores) carbon dioxide (CO2) captured from industrial sources thereby preventing the CO2 from reaching the atmosphere. The captured CO2 is injected into underground geologic reservoirs or is converted into stable industrial products. CDR enhances natural processes or uses technical approaches to remove excess CO2 from the atmosphere. Carbon dioxide is sequestered in natural sinks such as vegetation and soil, or injected into underground reservoirs or converted into durable products. The U.S. Geological Survey (USGS) conducts research and resource assessments that support biologic and geologic CDR approaches. This report will review some of the ongoing USGS CDR research and assessment efforts.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 17th Greenhouse Gas Control Technologies Conference (GHGT-17)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"17th Greenhouse Gas Control Technologies Conference (GHGT-17)","conferenceDate":"October 20-24, 2024","conferenceLocation":"Calgary, Alberta, Canada","language":"English","publisher":"Elsevier","doi":"10.2139/ssrn.5034821","usgsCitation":"Warwick, P., Blondes, M., Drexler, J.Z., Kroeger, K.D., and Zhu, Z., 2025, U.S. Geological Survey research and assessments supporting carbon dioxide removal, <i>in</i> Proceedings of the 17th Greenhouse Gas Control Technologies Conference (GHGT-17), v. 17, Calgary, Alberta, Canada, October 20-24, 2024, 7 p., https://doi.org/10.2139/ssrn.5034821.","productDescription":"7 p.","ipdsId":"IP-171749","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":494420,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.2139/ssrn.5034821","text":"Publisher Index Page"},{"id":466113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":207248,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":923048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blondes, Madalyn S. 0000-0003-0320-0107","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":348170,"corporation":false,"usgs":false,"family":"Blondes","given":"Madalyn S.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":923049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":923051,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":923052,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261242,"text":"70261242 - 2025 - The ghost plume phenomenon and its impact on zenith-facing remote sensing measurements of volcanic SO2 emission rates","interactions":[],"lastModifiedDate":"2024-12-03T15:12:15.341309","indexId":"70261242","displayToPublicDate":"2024-11-26T09:07:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19844,"text":"Journal of Volcanology and Goethermal Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The ghost plume phenomenon and its impact on zenith-facing remote sensing measurements of volcanic SO<sub>2</sub> emission rates","title":"The ghost plume phenomenon and its impact on zenith-facing remote sensing measurements of volcanic SO2 emission rates","docAbstract":"<p><span>A large source of error in SO</span><sub>2</sub><span>&nbsp;emission rates derived from mobile Differential Optical Absorption Spectroscopy (DOAS) of volcanic gas plumes is the uncertainty in atmospheric light paths between the sun and the instrument, particularly under non-ideal atmospheric conditions, such as the presence of low clouds. DOAS instruments measure the SO</span><sub>2</sub><span>&nbsp;column density along the effective light path, so changes to that pathway directly affect the measured SO</span><sub>2</sub><span>&nbsp;signal. Due to complex radiative transfer mechanisms when a cloud is between the DOAS viewing position and a volcanic plume, measured plumes can appear spatially offset from their true location, a phenomenon informally referred to as “ghost plumes.” In addition to the appearance of ghost plumes, DOAS measurements recorded in non-ideal conditions have poorly characterized errors and are often discarded, limiting the data available to characterize volcanic degassing. In this study we simulate the radiative transfer associated with zenith-facing mobile DOAS traverses using the McArtim radiative transfer model for scenarios when there is a cloud layer between the instrument and the volcanic plume. In total, 217 permutations of atmospheric optical conditions are considered with varying cloud opacities (AOD&nbsp;=&nbsp;0, 1, 2, 4, 8, 20), plume opacities (AOD&nbsp;=&nbsp;0, 1, 2, 4, 8), solar zenith angles (SZA&nbsp;=&nbsp;1°, 30°, 60°), and cloud thicknesses (200, 400, 800&nbsp;m). We first develop objective criteria for selecting SO</span><sub>2</sub><span>&nbsp;baseline absorption levels and plume spatial extents. The simulated plume traverses are then integrated to obtain the SO</span><sub>2</sub><span>&nbsp;cross-sectional burdens which, after multiplication with the wind speed, yield SO</span><sub>2</sub><span>&nbsp;emission rates. We find large modification in the shape of the modeled cross-sectional burdens even under translucent (low AOD) cloud conditions in our modeled scenarios. Despite modification of the plume shape, the presence of a low cloud layer is typically not a large source of error in the SO</span><sub>2</sub><span>&nbsp;cross-sectional burden or emission rate obtained from zenith-facing DOAS traverses. We find that all measured cross-sectional burdens simulated using an aerosol-free plume in the above conditions and SZA&nbsp;≤&nbsp;30° are within ±25% of the true value.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2024.108217","usgsCitation":"Kushner, D., Lopez, T., Kern, C., Arellano, S., Perez, N.M., and Barrancos, J., 2025, The ghost plume phenomenon and its impact on zenith-facing remote sensing measurements of volcanic SO2 emission rates: Journal of Volcanology and Goethermal Research, v. 457, 108217, 9 p., https://doi.org/10.1016/j.jvolgeores.2024.108217.","productDescription":"108217, 9 p.","ipdsId":"IP-159740","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488997,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://research.chalmers.se/en/publication/543987","text":"Publisher Index Page"},{"id":464697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"457","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kushner, D.S.","contributorId":346874,"corporation":false,"usgs":false,"family":"Kushner","given":"D.S.","email":"","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":920081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lopez, T.M.","contributorId":346875,"corporation":false,"usgs":false,"family":"Lopez","given":"T.M.","email":"","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":920082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":920083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arellano, Santiago","contributorId":205719,"corporation":false,"usgs":false,"family":"Arellano","given":"Santiago","affiliations":[{"id":37153,"text":"Department of Earth and Space Sciences – Chalmers University of Technology, Göteborg, Sweden","active":true,"usgs":false}],"preferred":false,"id":920084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perez, Nemesio M.","contributorId":177622,"corporation":false,"usgs":false,"family":"Perez","given":"Nemesio","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":920085,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barrancos, J","contributorId":346876,"corporation":false,"usgs":false,"family":"Barrancos","given":"J","email":"","affiliations":[{"id":83004,"text":"Instituto Volcanologico de Canarias","active":true,"usgs":false}],"preferred":false,"id":920086,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70265937,"text":"70265937 - 2025 - Population increases of the threatened American burying beetle (Nicrophorus americanus) linked to large-scale collaborations in a working lands ecoregion","interactions":[],"lastModifiedDate":"2025-04-22T17:39:21.057701","indexId":"70265937","displayToPublicDate":"2024-11-24T12:29:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Population increases of the threatened American burying beetle (<i>Nicrophorus americanus</i>) linked to large-scale collaborations in a working lands ecoregion","title":"Population increases of the threatened American burying beetle (Nicrophorus americanus) linked to large-scale collaborations in a working lands ecoregion","docAbstract":"<p><span>Woody plant encroachment and row-crop agricultural land conversion are existential threats to species that rely on grassland ecosystems. The American Burying Beetle (</span><i>Nicrophorus americanus</i><span>) is a threatened species whose largest remnant populations are predominantly located in grassland ecoregions comprised of privately-owned ranching lands. Here, we seek to determine functional scaling patterns and population trends of the American Burying Beetle in the face of conservation threats and grassland restoration. We used 13&nbsp;years (2007–2019) of American Burying Beetle abundance data collected from permanent sampling locations across the Loess Canyons ecoregion (Nebraska, USA), where a network of ranchers have been restoring large-scale grasslands. To estimate beetle abundance relative to land cover variables, we developed a Bayesian N-mixture model, incorporating the Bayesian latent indicator scale selection (BLISS) method to probabilistically determine at which scales land cover variables best explained beetle abundance. American Burying Beetle abundance exhibited high interannual variation but overall significantly increased across the ecoregion. Increases in beetle abundance were associated with large-scale (1149&nbsp;ha extent) grassland cover. Decreases in abundance were associated with large-scale crop conversion (590&nbsp;ha extent) and large-scale increases in woody cover (1149&nbsp;ha extent). This study provides the first evidence of ecoregion-scale population increases of the American Burying Beetle. These increases are tied to landscape variables that are managed in a large-scale, coordinated private lands grassland restoration effort. Our results suggest that successful grassland restoration will depend on coordinating across property boundaries to implement conservation at scales necessary to conserve species that require large-scale, unfragmented grasslands.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110865","usgsCitation":"Roberts, C.P., Ludwig, A., Fogarty, D., Stuber, E.F., Uden, D., Walker, T., and Twidwell, D., 2025, Population increases of the threatened American burying beetle (Nicrophorus americanus) linked to large-scale collaborations in a working lands ecoregion: Biological Conservation, v. 301, 110865, 11 p., https://doi.org/10.1016/j.biocon.2024.110865.","productDescription":"110865, 11 p.","ipdsId":"IP-168131","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":484857,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Loess Canyons experimental landscape","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -101.28914746227895,\n              41.45522213058922\n            ],\n            [\n              -101.28914746227895,\n              40.41937056355326\n            ],\n            [\n              -99.7780551382092,\n              40.41937056355326\n            ],\n            [\n              -99.7780551382092,\n              41.45522213058922\n            ],\n            [\n              -101.28914746227895,\n              41.45522213058922\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"301","noUsgsAuthors":false,"publicationDate":"2024-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Roberts, Caleb Powell 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":288567,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","email":"","middleInitial":"Powell","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ludwig, Alison K.","contributorId":353601,"corporation":false,"usgs":false,"family":"Ludwig","given":"Alison K.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":934086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fogarty, Dillon T.","contributorId":353602,"corporation":false,"usgs":false,"family":"Fogarty","given":"Dillon T.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":934087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stuber, Erica Francis 0000-0002-2687-6874","orcid":"https://orcid.org/0000-0002-2687-6874","contributorId":298084,"corporation":false,"usgs":true,"family":"Stuber","given":"Erica","email":"","middleInitial":"Francis","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":934088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Uden, Daniel R.","contributorId":353603,"corporation":false,"usgs":false,"family":"Uden","given":"Daniel R.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":934089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walker, Thomas L. Jr.","contributorId":353604,"corporation":false,"usgs":false,"family":"Walker","given":"Thomas L.","suffix":"Jr.","affiliations":[{"id":17640,"text":"Nebraska Game and Parks Commission","active":true,"usgs":false}],"preferred":false,"id":934090,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Twidwell, Dirac","contributorId":353605,"corporation":false,"usgs":false,"family":"Twidwell","given":"Dirac","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":934091,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261709,"text":"70261709 - 2025 - A hierarchical model for eDNA fate and transport dynamics accommodating low concentration samples","interactions":[{"subject":{"id":70258184,"text":"70258184 - 2024 - A hierarchical model for eDNA fate and transport dynamics accommodating low concentration samples","indexId":"70258184","publicationYear":"2024","noYear":false,"title":"A hierarchical model for eDNA fate and transport dynamics accommodating low concentration samples"},"predicate":"SUPERSEDED_BY","object":{"id":70261709,"text":"70261709 - 2025 - A hierarchical model for eDNA fate and transport dynamics accommodating low concentration samples","indexId":"70261709","publicationYear":"2025","noYear":false,"title":"A hierarchical model for eDNA fate and transport dynamics accommodating low concentration samples"},"id":1}],"lastModifiedDate":"2025-03-25T15:48:58.14773","indexId":"70261709","displayToPublicDate":"2024-11-24T09:12:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1573,"text":"Environmental and Ecological Statistics","active":true,"publicationSubtype":{"id":10}},"title":"A hierarchical model for eDNA fate and transport dynamics accommodating low concentration samples","docAbstract":"<p><span>Environmental DNA (eDNA) sampling is an increasingly important tool for answering ecological questions and informing aquatic species management; however, several factors currently limit the reliability of ecological inference from eDNA sampling. Two particular challenges are (1) determining species source location(s) and (2) accurately and precisely measuring low concentration eDNA samples in the presence of multiple sources of ecological and measurement variability. The recently introduced eDNA Integrating Transport and Hydrology (eDITH) model provides a framework for relating eDNA measurements to source locations in riverine networks, but little empirical work has been done to test and refine model assumptions or accommodate low concentration samples, that can be systematically undermeasured. To better understand eDNA fate and transport dynamics and our ability to reliably quantify low concentration samples, we developed a hierarchical model and used it to evaluate a fate and transport experiment. Our model addresses several low concentration challenges by modeling the number of copies in each PCR replicate as a latent variable with a count distribution and conditioning detection and quantification on replicate copy number. We provide evidence that the eDNA removal rate declined through time, estimating that over 80% of eDNA was removed over the first 10 m, traversed in 41 s. After this initial period of rapid decay, eDNA decayed slowly with consistent detection through our farthest site 1 km from the release location, traversed in 67.8 min. Our model further allowed us to detect extra-Poisson variation in the allocation of copies to replicates. We extended our hierarchical model to accommodate a continuous effect of inhibitors and used our model to provide evidence for the inhibitor hypothesis and explore the potential implications. While our model is not a panacea for all challenges faced when quantifying low-concentration eDNA samples, it provides a framework for a more complete accounting of uncertainty.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10651-024-00632-8","usgsCitation":"Augustine, B., Hutchins, P., Jones-Slobodian, D.N., Williams, J.R., Leinonen, E., and Sepulveda, A., 2025, A hierarchical model for eDNA fate and transport dynamics accommodating low concentration samples: Environmental and Ecological Statistics, v. 32, p. 21-56, https://doi.org/10.1007/s10651-024-00632-8.","productDescription":"36 p.","startPage":"21","endPage":"56","ipdsId":"IP-170289","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":466744,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2024.03.27.586987","text":"External Repository"},{"id":465331,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","noUsgsAuthors":false,"publicationDate":"2024-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Augustine, Ben 0000-0001-6935-6361","orcid":"https://orcid.org/0000-0001-6935-6361","contributorId":245736,"corporation":false,"usgs":true,"family":"Augustine","given":"Ben","email":"","affiliations":[{"id":49304,"text":"Department of Natural Resources, Cornell University","active":true,"usgs":false}],"preferred":false,"id":921530,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutchins, Patrick Ross 0000-0001-5232-0821","orcid":"https://orcid.org/0000-0001-5232-0821","contributorId":256658,"corporation":false,"usgs":true,"family":"Hutchins","given":"Patrick Ross","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":921531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones-Slobodian, Devin Nicole 0000-0001-9215-2930","orcid":"https://orcid.org/0000-0001-9215-2930","contributorId":305357,"corporation":false,"usgs":true,"family":"Jones-Slobodian","given":"Devin","middleInitial":"Nicole","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":921532,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Jacob R.","contributorId":288679,"corporation":false,"usgs":false,"family":"Williams","given":"Jacob","email":"","middleInitial":"R.","affiliations":[{"id":61825,"text":"Montana Fish","active":true,"usgs":false}],"preferred":false,"id":921533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leinonen, Eric","contributorId":346482,"corporation":false,"usgs":false,"family":"Leinonen","given":"Eric","email":"","affiliations":[{"id":82874,"text":"Turner Enterprise Management","active":true,"usgs":false}],"preferred":false,"id":921534,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":921535,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70264135,"text":"70264135 - 2025 - Ecological and social drivers of Mexican wolf home range size across spatiotemporal scales","interactions":[],"lastModifiedDate":"2025-03-07T14:38:45.51395","indexId":"70264135","displayToPublicDate":"2024-11-24T08:35:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7153,"text":"Journal of Mammology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological and social drivers of Mexican wolf home range size across spatiotemporal scales","docAbstract":"<p><span>Elucidating factors influencing home range size is fundamental to the ecology and management of wildlife species, particularly those of conservation concern, because they can provide insight into how species utilize and interact with their environment. Variation in home range size can be related to intraspecific competition and social organization, energetic requirements in relation to habitat productivity, allometric relationships, and population density. The Mexican Gray Wolf (</span><i>Canis lupus baileyi</i><span>) is an endangered subspecies of the Gray Wolf whose home range size has not yet been studied. We examined ecological and social drivers of home range size of 22 Mexican Wolf packs between 2017 and 2021 across 4 biological time frames: annual; denning; post-denning; and non-denning. We used a 95% Brownian Bridge Movement Model home range estimator and generalized linear mixed-effect models to assess these relationships. Home range size was inversely correlated with estimated ungulate biomass, which was the most influential driver of home range size at annual and post-denning time frames. Larger packs utilized larger ranges during denning and post-denning time frames, while packs with larger litters had smaller ranges during the denning season. Snow depth was inversely related to home range size during the non-denning season. Our results indicate that both ecological and social factors are important and seasonally dependent in driving Mexican Wolf home range size. Use of a multiscale approach in future home range studies could discern relevant factors for species during time frames of interest.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyae110","usgsCitation":"Lichwa-Schneringer, E., Cain, J.W., Wan, H.Y., Fuller, G., Millberry, C., and Gunther, M.S., 2025, Ecological and social drivers of Mexican wolf home range size across spatiotemporal scales: Journal of Mammology, v. 106, no. 1, p. 105-117, https://doi.org/10.1093/jmammal/gyae110.","productDescription":"13 p.","startPage":"105","endPage":"117","ipdsId":"IP-159340","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":483043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Lichwa-Schneringer, Evelyn","contributorId":352023,"corporation":false,"usgs":false,"family":"Lichwa-Schneringer","given":"Evelyn","affiliations":[{"id":81635,"text":"Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":929924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":929925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wan, Ho Yi","contributorId":209843,"corporation":false,"usgs":false,"family":"Wan","given":"Ho","email":"","middleInitial":"Yi","affiliations":[{"id":38007,"text":"3Northern Arizona University,  School of Earth Sciences and Environmental Sustainability","active":true,"usgs":false}],"preferred":false,"id":929926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Genevieve","contributorId":352026,"corporation":false,"usgs":false,"family":"Fuller","given":"Genevieve","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":929927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Millberry, Cyrenea","contributorId":352027,"corporation":false,"usgs":false,"family":"Millberry","given":"Cyrenea","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":929928,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gunther, Micaela Szykman","contributorId":265719,"corporation":false,"usgs":false,"family":"Gunther","given":"Micaela","email":"","middleInitial":"Szykman","affiliations":[{"id":54774,"text":"Department of Wildlife, Humboldt State University, Arcata, California, USA","active":true,"usgs":false}],"preferred":false,"id":929929,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70271137,"text":"70271137 - 2025 - Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States","interactions":[],"lastModifiedDate":"2025-08-28T15:23:30.407508","indexId":"70271137","displayToPublicDate":"2024-11-24T00:00:00","publicationYear":"2025","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":"Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States","docAbstract":"<p><span>In water-limited dryland ecosystems of the Western United States, climate change is intensifying the impacts of heat, drought, and wildfire. Disturbances often lead to increased abundance of invasive species, in part, because dryland restoration and rehabilitation are inhibited by limited moisture and infrequent plant recruitment events. Information on ecological resilience to disturbance (recovery potential) and resistance to invasive species can aid in addressing these challenges by informing long-term restoration and conservation planning. Here, we quantified the impacts of projected future climate on ecological resilience and invasion resistance&nbsp;(R&amp;R) in the sagebrush region using novel algorithms based on ecologically relevant and climate-sensitive predictors of climate and ecological drought. We used a process-based ecohydrological model to project these predictor variables and resulting R&amp;R indicators for two future climate scenarios and 20 climate models. Results suggested widespread future R&amp;R decreases (24%–34% of the 1.16 million km</span><sup>2</sup><span>&nbsp;study area) that are generally consistent among climate models. Variables related to rising temperatures were most strongly linked to decreases in R&amp;R indicators. New continuous R&amp;R indices quantified responses to climate change; particularly useful for areas without projected change in the R&amp;R category but where R&amp;R still may decrease, for example, some of the areas with a historically low R&amp;R category. Additionally, we found that areas currently characterized as having high sagebrush ecological integrity had the largest areal percentage with expected declines in R&amp;R in the future, suggesting continuing declines in sagebrush ecosystems. One limitation of these R&amp;R projections was relatively novel future climatic conditions in particularly hot and dry areas that were underrepresented in the training data. Including more data from these areas in future updates could further improve the reliability of the projections. Overall, these projected future declines in R&amp;R highlight a growing challenge for natural resource managers in the region, and the resulting spatially explicit datasets provide information that can improve long-term risk assessments, prioritizations, and climate adaptation efforts.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.3065","usgsCitation":"Schlaepfer, D.R., Chambers, J., Urza, A.K., Hanberry, B.B., Brown, J.L., Board, D.I., Campbell, S.B., Clause, K.J., Crist, M.R., and Bradford, J.B., 2025, Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States: Ecological Applications, v. 35, no. 1, e3065, 22 p., https://doi.org/10.1002/eap.3065.","productDescription":"e3065, 22 p.","ipdsId":"IP-158663","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.42794589746886,\n              49.014637994301935\n            ],\n            [\n              -119.90978156132392,\n              36.70243517332828\n            ],\n            [\n              -116.74229497105136,\n              35.570259676514176\n            ],\n            [\n              -111.57726471396826,\n              36.555490134719435\n            ],\n            [\n              -105.91156612900402,\n              33.92801205884358\n            ],\n            [\n              -102.5499905132619,\n              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0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chambers, Jeanne C.","contributorId":75889,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[],"preferred":false,"id":947551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Urza, Alexandra K. 0000-0001-9795-6735","orcid":"https://orcid.org/0000-0001-9795-6735","contributorId":261259,"corporation":false,"usgs":false,"family":"Urza","given":"Alexandra","email":"","middleInitial":"K.","affiliations":[{"id":16848,"text":"USDA Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":947552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanberry, Brice B. 0000-0001-8657-9540","orcid":"https://orcid.org/0000-0001-8657-9540","contributorId":229364,"corporation":false,"usgs":false,"family":"Hanberry","given":"Brice","email":"","middleInitial":"B.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":947553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Jessi L. 0000-0002-6126-7951","orcid":"https://orcid.org/0000-0002-6126-7951","contributorId":360732,"corporation":false,"usgs":false,"family":"Brown","given":"Jessi","middleInitial":"L.","affiliations":[{"id":82408,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Board, David I. 0000-0001-6140-1260","orcid":"https://orcid.org/0000-0001-6140-1260","contributorId":360734,"corporation":false,"usgs":false,"family":"Board","given":"David","middleInitial":"I.","affiliations":[{"id":82408,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Campbell, Steven B. 0009-0002-9710-9688","orcid":"https://orcid.org/0009-0002-9710-9688","contributorId":360736,"corporation":false,"usgs":false,"family":"Campbell","given":"Steven","middleInitial":"B.","affiliations":[{"id":86091,"text":"USDA Natural Resources Conservation Service, West National Technology Support Center, Portland, Oregon U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947556,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clause, Karen J.","contributorId":360737,"corporation":false,"usgs":false,"family":"Clause","given":"Karen","middleInitial":"J.","affiliations":[{"id":86093,"text":"USDA Natural Resources Conservation Service, Pinedale, Wyoming U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947557,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Crist, Michele R. 0000-0002-3506-3402","orcid":"https://orcid.org/0000-0002-3506-3402","contributorId":360738,"corporation":false,"usgs":false,"family":"Crist","given":"Michele","middleInitial":"R.","affiliations":[{"id":86094,"text":"U.S. Bureau of Land Management, National Interagency Fire Center, Boise, Idaho","active":true,"usgs":false}],"preferred":false,"id":947558,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":222784,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947559,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70257548,"text":"70257548 - 2025 - High variability of migration strategies in a re-established Cygnus buccinator (Trumpeter Swan) population","interactions":[],"lastModifiedDate":"2025-06-12T15:24:51.105385","indexId":"70257548","displayToPublicDate":"2024-11-22T10:17:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10109,"text":"Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"High variability of migration strategies in a re-established <i>Cygnus buccinator</i> (Trumpeter Swan) population","title":"High variability of migration strategies in a re-established Cygnus buccinator (Trumpeter Swan) population","docAbstract":"<p><span>The Interior Population (IP) of&nbsp;</span><i>Cygnus buccinator</i><span>&nbsp;(Trumpeter Swan), formerly extirpated by market hunting, was re-established in eastern North America by releasing individuals from both migratory and non-migratory populations. Their current annual movement patterns are largely unknown. We deployed 113 GPS-GSM transmitters on IP&nbsp;</span><i>C. buccinator</i><span>&nbsp;in 6 U.S. states and 1 Canadian province across the current IP breeding range. Using data from 252 “swan-years”, we estimated migration phenology using piecewise regression models fit to each yearly time-series of displacement from the breeding site. We fit a latent-state model to characterize population-level associations between breeding latitude and maximum extent of migration, and linear mixed models to quantify associations between individual characteristics (e.g., breeding status, sex) and migration phenology. At the individual level, 59% of swans moved to distant nonbreeding-period areas (long-distance migration, defined as moving &gt;100 km from the breeding site), 16% exhibited regional migration (25–100 km from breeding site), 19% exhibited non-migratory but local movements (&lt;25 km from breeding site), and 6% exhibited multiple migration strategies. Swans breeding at more-northern latitudes departed their territories earlier in autumn, returned later in the spring, and migrated farther from their breeding territories than those breeding at more southern latitudes. Although the population-level association between migration extent and breeding latitude was positive, some individuals remained close to the location of their breeding site during the nonbreeding period. Breeding swans departed later in the autumn than non-breeders, but breeding status did not have a strong association with arrival in the spring. IP&nbsp;</span><i>C. buccinator</i><span>&nbsp;are partial migrants, with a continuum of strategies that vary latitudinally, from local movements to long-distance migration. Much of the variability in movement patterns related to factors tied to natural history demands (e.g., breeding status) and response to environmental conditions (e.g., through associations with breeding latitude).</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithology/ukae059","usgsCitation":"Wolfson, D., Knapik, R., Buckardt Thomas, A., Harms, T., Kearns, L., Kiss, B., Poole, T., Fowler, D., Finger, T.A., Matteson, S.W., Moriarty, J., Mayo, T., Smith, M., Herwig, C., Andersen, D.E., and Fieberg, J.R., 2025, High variability of migration strategies in a re-established Cygnus buccinator (Trumpeter Swan) population: Ornithology, v. 142, no. 2, ukae059, 12 p., https://doi.org/10.1093/ornithology/ukae059.","productDescription":"ukae059, 12 p.","ipdsId":"IP-163003","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":465487,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466748,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithology/ukae059","text":"Publisher Index Page"}],"volume":"142","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wolfson, David W.","contributorId":244928,"corporation":false,"usgs":false,"family":"Wolfson","given":"David W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":910783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knapik, Randall T.","contributorId":343307,"corporation":false,"usgs":false,"family":"Knapik","given":"Randall T.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckardt Thomas, Anna","contributorId":343310,"corporation":false,"usgs":false,"family":"Buckardt Thomas","given":"Anna","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harms, Tyler M.","contributorId":343314,"corporation":false,"usgs":false,"family":"Harms","given":"Tyler M.","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kearns, Laura","contributorId":340996,"corporation":false,"usgs":false,"family":"Kearns","given":"Laura","email":"","affiliations":[{"id":81690,"text":"Ohio Department of Natural Resources – Division of Wildlife","active":true,"usgs":false}],"preferred":false,"id":910787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kiss, Brian W.","contributorId":343320,"corporation":false,"usgs":false,"family":"Kiss","given":"Brian W.","affiliations":[{"id":82070,"text":"Manitoba Department of Economic Development, Investment, Trade, and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910788,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poole, Timothy F.","contributorId":343321,"corporation":false,"usgs":false,"family":"Poole","given":"Timothy F.","affiliations":[{"id":82070,"text":"Manitoba Department of Economic Development, Investment, Trade, and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910789,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fowler, Drew Nathan 0000-0001-9347-4579","orcid":"https://orcid.org/0000-0001-9347-4579","contributorId":341123,"corporation":false,"usgs":true,"family":"Fowler","given":"Drew Nathan","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":922413,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Finger, Taylor A.","contributorId":176345,"corporation":false,"usgs":false,"family":"Finger","given":"Taylor","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":910791,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Matteson, Sumner W.","contributorId":340998,"corporation":false,"usgs":false,"family":"Matteson","given":"Sumner","email":"","middleInitial":"W.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910792,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moriarty, John J.","contributorId":343324,"corporation":false,"usgs":false,"family":"Moriarty","given":"John J.","affiliations":[{"id":82073,"text":"Three Rivers Park District","active":true,"usgs":false}],"preferred":false,"id":910793,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mayo, Tiffany","contributorId":343325,"corporation":false,"usgs":false,"family":"Mayo","given":"Tiffany","affiliations":[{"id":82074,"text":"Cleveland Metroparks Zoo","active":true,"usgs":false}],"preferred":false,"id":910794,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, Margaret","contributorId":343326,"corporation":false,"usgs":false,"family":"Smith","given":"Margaret","affiliations":[{"id":82075,"text":"Trumpeter Swan Society","active":true,"usgs":false}],"preferred":false,"id":910795,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Herwig, Christine M.","contributorId":343327,"corporation":false,"usgs":false,"family":"Herwig","given":"Christine M.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910796,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922414,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Fieberg, John R. 0000-0002-3180-7021","orcid":"https://orcid.org/0000-0002-3180-7021","contributorId":194333,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":910798,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70261188,"text":"70261188 - 2025 - Projections of multiple climate-related coastal hazards for the US Southeast Atlantic","interactions":[],"lastModifiedDate":"2025-01-22T15:49:36.764574","indexId":"70261188","displayToPublicDate":"2024-11-21T09:05:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Projections of multiple climate-related coastal hazards for the US Southeast Atlantic","docAbstract":"<p><span>Faced with accelerating sea level rise and changing ocean storm conditions, coastal communities require comprehensive assessments of climate-driven hazard impacts to inform adaptation measures. Previous studies have focused on flooding but rarely on other climate-related coastal hazards, such as subsidence, beach erosion and groundwater. Here, we project societal exposure to multiple hazards along the Southeast Atlantic coast of the United States. Assuming 1 m of sea level rise, more than 70% of the coastal residents and US \\<span>$</span>1 trillion in property are in areas projected to experience shallow and emerging groundwater, 15 times higher than daily flooding. Storms increase flooding exposure by an order of magnitude over daily flooding, which could impact up to ~50% of all coastal residents and US \\<span>$</span>770 billion in property value. The loss of up to ~80% of present-day beaches and high subsidence rates that currently affect over 1 million residents will exacerbate flooding and groundwater hazard risks.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41558-024-02180-2","usgsCitation":"Barnard, P.L., Befus, K.M., Danielson, J.J., Engelstad, A.C., Erikson, L.H., Foxgrover, A.C., Hayden, M.K., Hoover, D.J., Leijnse, T., Massey, C., McCall, R.T., Nadal-Caraballo, N., Nederhoff, K., O'Neill, A., Parker, K.A., Shirzaei, M., Ohenhen, L.O., Swarzenski, P., Thomas, J.A., van Ormondt, M., Vitousek, S., Vos, K., Wood, N.J., Jones, J.M., and Jones, J., 2025, Projections of multiple climate-related coastal hazards for the US Southeast Atlantic: Nature Climate Change, v. 15, p. 101-109, https://doi.org/10.1038/s41558-024-02180-2.","productDescription":"9 p.","startPage":"101","endPage":"109","ipdsId":"IP-162659","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":489042,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10919/123765","text":"External Repository"},{"id":464565,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.59455337385396,\n              25.101429367963405\n            ],\n            [\n              -79.83220449492563,\n              25.47080719868289\n            ],\n            [\n              -79.79980575822137,\n              27.794671963858548\n            ],\n            [\n              -81.02658077471993,\n              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,{"id":70261116,"text":"70261116 - 2025 - A transferable approach for quantifying benthic fish sizes and densities in annotated underwater images","interactions":[],"lastModifiedDate":"2025-01-13T16:20:11.720742","indexId":"70261116","displayToPublicDate":"2024-11-21T08:11:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A transferable approach for quantifying benthic fish sizes and densities in annotated underwater images","docAbstract":"<p>1. Benthic fishes are a common target of scientific monitoring but are difficult to quantify because of their close association to bottom habitats that are hard to access. Advances in image-acquisition technologies, machine vision, and deep learning have made capturing and quantifying fishes with cameras increasingly feasible. We present a method and open-source software called ‘FishScale’ to estimate benthic fish lengths, numeric abundance, and biomass density in underwater environments assessed with down-looking monocular images. </p><p>2. ‘FishScale’ estimates fish abundances and size frequencies from near-nadir monocular images where fish have already been semantically segmented. The software accounts for lens distortion, underwater magnification effects, and fish body curvature to automatically estimate fish lengths and the areas of images where they were captured. Numeric and biomass density are estimated through a deterministic machine vision algorithm that requires a user-provided length-weight relationship for species of interest and calibration images. </p><p>3. Results from validation studies show that lengths and weights can be estimated with high accuracy and precision for round goby (<i>Neogobius melanostomus</i>) captured in distorted action camera images, and from large-bodied lake trout (<i>Salvelinus namaycush</i>) imaged with a machine vision camera. The real-world utility of the approach is demonstrated in a case study estimating round goby abundances and size frequencies along a 10.7-km transect surveyed with an autonomous underwater vehicle in Lake Michigan, USA. </p><p>4. Our validation studies demonstrate that the approach estimates benthic and benthopelagic fish lengths and weights with little bias and good accuracy and precision for species with much different body shapes and sizes. The method is applicable to data collected using a variety of nadir imaging approaches with widespread applications to fisheries monitoring and quantification of any species or object for which nadir images and working distances between the camera and feature of interest are available.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14453","usgsCitation":"Esselman, P.C., Moradi, S., Geisz, J.K., and Roussi, C., 2025, A transferable approach for quantifying benthic fish sizes and densities in annotated underwater images: Methods in Ecology and Evolution, v. 16, no. 1, p. 145-159, https://doi.org/10.1111/2041-210X.14453.","productDescription":"15 p.","startPage":"145","endPage":"159","ipdsId":"IP-132466","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":466686,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14453","text":"Publisher Index Page"},{"id":466452,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13QVR2R","text":"USGS data release","linkHelpText":"FishScale"},{"id":464463,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Michigan, Wisconsin","otherGeospatial":"Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.44954986437058,\n              45.79365704611857\n            ],\n            [\n              -88.27475541132564,\n              44.16814114178051\n            ],\n            [\n              -88.0092703926447,\n              42.701569303239616\n            ],\n            [\n              -87.68751722190896,\n              41.624028632419794\n            ],\n            [\n              -86.36553765374144,\n              41.63295180048564\n            ],\n            [\n              -85.83690337498572,\n              42.86335985317472\n            ],\n            [\n              -86.0486664314116,\n              44.084867584867666\n            ],\n            [\n              -84.79565964117464,\n              46.01898404311527\n            ],\n            [\n              -85.98754537346298,\n              46.05276165976035\n            ],\n            [\n              -87.44954986437058,\n              45.79365704611857\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Esselman, Peter C. 0000-0002-0085-903X pesselman@usgs.gov","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":346494,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter","email":"pesselman@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":919341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moradi, Shadi 0000-0002-9120-8952","orcid":"https://orcid.org/0000-0002-9120-8952","contributorId":342265,"corporation":false,"usgs":false,"family":"Moradi","given":"Shadi","email":"","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":919342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geisz, Joseph K. 0000-0001-6783-7057","orcid":"https://orcid.org/0000-0001-6783-7057","contributorId":342270,"corporation":false,"usgs":false,"family":"Geisz","given":"Joseph","email":"","middleInitial":"K.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":919343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roussi, Christopher","contributorId":346495,"corporation":false,"usgs":false,"family":"Roussi","given":"Christopher","email":"","affiliations":[{"id":34530,"text":"Michigan Tech Research Institute","active":true,"usgs":false}],"preferred":false,"id":919344,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273041,"text":"70273041 - 2025 - Resource selection of the southern fox squirrel (Sciurus niger niger)  in the coastal plain of Virginia","interactions":[],"lastModifiedDate":"2025-12-15T14:49:57.010841","indexId":"70273041","displayToPublicDate":"2024-11-20T11:12:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3694,"text":"Virginia Journal of Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Resource selection of the southern fox squirrel (<i>Sciurus niger niger</i>)  in the coastal plain of Virginia","title":"Resource selection of the southern fox squirrel (Sciurus niger niger)  in the coastal plain of Virginia","docAbstract":"<p>The southern fox squirrel (<i>Sciurus niger niger</i>) is a subspecies of fox squirrel that ranges from southeastern Virginia to northern Florida. Throughout its Southeastern range, southern fox squirrel habitat of natural mixed pine-hardwood forests has been fragmented by agriculture and short-rotation pine plantations. In Virginia, remaining habitat has been transformed by fire suppression on the landscape and has in turn resulted in small, disjunct populations of southern fox squirrels. We sought to identify the home range and resource utilization of southern fox squirrels in the southern Coastal Plain of Virginia. From established nest boxes, we captured, radio collared and tracked four individuals at Big Woods Wildlife Management area and Piney Grove Complex in Sussex County in 2022. We observed an average male 95% and 50% adaptive kernel home range 173.49 ha (SE = 25.73, <i>N</i> = 2) and 40.62 ha (SE = 5.87, <i>N</i> = 2), respectively and an average female 95% and 50% adaptive kernel home range of 28.51 ha (SE = 0.49,<i> N</i> = 2) and 4.71 ha (SE = 0.34, <i>N</i> = 2), respectively. At both the second and third orders of habitat selection, squirrels selected for pine savanna cover types and short fire-return intervals.</p>","language":"English","publisher":"Digital Commons","doi":"10.25778/p2ad-j877","usgsCitation":"Guill, M.H., De La Cruz, J.L., Puckett, K., and Ford, W., 2025, Resource selection of the southern fox squirrel (Sciurus niger niger)  in the coastal plain of Virginia: Virginia Journal of Science, v. 75, no. 3, 1, 18 p., https://doi.org/10.25778/p2ad-j877.","productDescription":"1, 18 p.","ipdsId":"IP-163237","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497495,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.22610873430784,\n              38.20480113736551\n            ],\n            [\n              -77.22610873430784,\n              36.57433812738637\n            ],\n            [\n              -76.01620307129923,\n              36.57433812738637\n            ],\n            [\n              -76.01620307129923,\n              38.20480113736551\n            ],\n            [\n              -77.22610873430784,\n              38.20480113736551\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"75","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Guill, Marissa H.","contributorId":363969,"corporation":false,"usgs":false,"family":"Guill","given":"Marissa","middleInitial":"H.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":952137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De La Cruz, Jesse L.","contributorId":363972,"corporation":false,"usgs":false,"family":"De La Cruz","given":"Jesse","middleInitial":"L.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":952138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Puckett, K. Marc","contributorId":363975,"corporation":false,"usgs":false,"family":"Puckett","given":"K. Marc","affiliations":[{"id":56188,"text":"Virginia Department of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":952139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":952140,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262887,"text":"70262887 - 2025 - Evaluation of a carbon dioxide fish barrier through numerical modelling","interactions":[],"lastModifiedDate":"2025-08-04T15:32:55.922477","indexId":"70262887","displayToPublicDate":"2024-11-20T09:17:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19917,"text":"Meccanica","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a carbon dioxide fish barrier through numerical modelling","docAbstract":"<p><span>The Chicago Area Waterway System (CAWS) is a potential route for the migration of aquatic invasive species from the Mississippi River Basin into the Great Lakes. Electric dispersal barriers were installed in the Chicago Sanitary Ship Canal, within CAWS, to prevent invasive fish from reaching the Great Lakes. Despite the high efficiency of these barriers, occasional maintenance events create a vulnerability that fish can exploit to access the Great Lakes. This study aimed to assess the feasibility of a carbon dioxide (CO</span><sub>2</sub><span>) infusion system to deter fish during the maintenance of the electric barriers. An algebraic slip mixture model was implemented in the OpenFOAM solver to represent the underwater CO</span><sub>2</sub><span>&nbsp;bubble plume and predict the concentration of dissolved CO</span><sub>2</sub><span>&nbsp;in the canal. Simulations under three canal flowrates and two sparger systems were conducted assuming a constant gas flowrate. Numerical results indicate that, for all simulated conditions, the CO</span><sub>2</sub><span>&nbsp;concentration is not fully mixed creating passageways that invasive fish could potentially use to migrate upstream. Injecting 4-mm bubbles induces two large-scale recirculations that are expected to synergistically improve fish avoidance. On the other hand, injection of 20 </span><span class=\"mathjax-tex\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow class=&quot;MJX-TeXAtom-ORD&quot;><mtext fontfamily=&quot;Times&quot;>&amp;#x03BC;</mtext></mrow></math>\"><span class=\"MJX_Assistive_MathML\">μ</span></span></span><span>m bubbles results on almost immediate dissolution with minimal effect on the flow pattern. To improve effectiveness, a gas pulse system was proposed and numerically evaluated. Based on the simulations, this system not only extends the operation of the CO</span><sub>2</sub><span>&nbsp;barrier but also increases efficiency creating CO</span><sub>2</sub><span>&nbsp;gradients that can promote a more responsive behaviour from fish. Moreover, the pulse concept mitigates potential effect of elevated CO</span><sub>2</sub><span>&nbsp;downstream from the treated area.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s11012-024-01865-4","usgsCitation":"Politano, M., Cupp, A.R., Smith, D., Schemmel, A., Jackson, P.R., and Zuercher, J., 2025, Evaluation of a carbon dioxide fish barrier through numerical modelling: Meccanica, v. 60, p. 1545-1560, https://doi.org/10.1007/s11012-024-01865-4.","productDescription":"16 p.","startPage":"1545","endPage":"1560","ipdsId":"IP-137990","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":481413,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":489897,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11012-024-01865-4","text":"Publisher Index Page"}],"country":"United States","state":"Illinois","otherGeospatial":"Chicago Area Waterway System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.45983154395925,\n              42.02832638639134\n            ],\n            [\n              -90.20558925432896,\n              41.259762660479\n            ],\n            [\n              -90.92604657930856,\n              39.60224792913861\n            ],\n            [\n              -90.53687833366651,\n              38.885040787768844\n            ],\n            [\n              -87.74374273887783,\n              40.64793845408764\n            ],\n            [\n              -87.45983154395925,\n              42.02832638639134\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"60","noUsgsAuthors":false,"publicationDate":"2024-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Politano, Marcela","contributorId":349914,"corporation":false,"usgs":false,"family":"Politano","given":"Marcela","affiliations":[{"id":18947,"text":"USACE ERDC","active":true,"usgs":false}],"preferred":false,"id":925191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":925192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David","contributorId":261251,"corporation":false,"usgs":false,"family":"Smith","given":"David","affiliations":[{"id":52784,"text":"U.S. Department of Agriculture, Economic Research Service","active":true,"usgs":false}],"preferred":false,"id":925193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schemmel, Avery","contributorId":349915,"corporation":false,"usgs":false,"family":"Schemmel","given":"Avery","affiliations":[{"id":83534,"text":"U.S. Army Corps of Engineers (USACE- ERDC)","active":true,"usgs":false}],"preferred":false,"id":925194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925195,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zuercher, Jeff","contributorId":349916,"corporation":false,"usgs":false,"family":"Zuercher","given":"Jeff","affiliations":[{"id":83535,"text":"USACE, Chicago District","active":true,"usgs":false}],"preferred":false,"id":925196,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267754,"text":"70267754 - 2025 - A ‘how-to’ guide for estimating animal diel activity using hierarchical models","interactions":[],"lastModifiedDate":"2025-05-30T15:36:23.008094","indexId":"70267754","displayToPublicDate":"2024-11-19T10:33:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A ‘how-to’ guide for estimating animal diel activity using hierarchical models","docAbstract":"<ol class=\"\"><li>Animal diel activity patterns can aid understanding of (a) how species behaviourally adapt to anthropogenic and natural disturbances, (b) mechanisms of species co-existence through temporal partitioning, and (c) community or ecosystem effects of diel activity shifts.</li><li>Activity patterns often vary spatially, a feature ignored by the kernel density estimators (KDEs) currently used for estimating diel activity. Ignoring this source of heterogeneity may lead to biased estimates of uncertainty and misleading conclusions regarding the drivers of diel activity. Thus, there is a need for more flexible statistical approaches for estimating activity patterns and testing hypotheses regarding their biotic and abiotic drivers.</li><li>We illustrate how trigonometric terms and cyclic cubic splines combined with hierarchical models can provide a valuable alternative to KDEs. Like KDEs, these models accommodate circular data, but they can also account for site-to-site and other sources of variability, correlation amongst repeated measures, and variable sampling effort. They can also more readily quantify and test hypotheses related to the effects of covariates on activity patterns.</li><li>Through empirical case studies, we illustrate how hierarchical models can quantify changes in activity levels due to seasonality and in response to biotic and abiotic factors (e.g. anthropogenic stressors and co-occurrence). We also describe frequentist and Bayesian approaches for quantifying site-specific (conditional) and population-averaged (marginal) activity patterns.</li><li>We provide guidelines and tutorials with detailed step-by-step instructions for fitting and interpreting hierarchical models applied to time-stamped data, such as those recorded by camera traps and audio recorders. We conclude that this approach offers a viable, flexible, and effective alternative to KDEs when modelling animal activity patterns.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.14213","usgsCitation":"Iannarilli, F., Gerber, B., Erb, J., and Fieberg, J.R., 2025, A ‘how-to’ guide for estimating animal diel activity using hierarchical models: Journal of Animal Ecology, v. 94, no. 2, p. 182-194, https://doi.org/10.1111/1365-2656.14213.","productDescription":"13 p.","startPage":"182","endPage":"194","ipdsId":"IP-166204","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490642,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.14213","text":"Publisher Index Page"},{"id":489264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Iannarilli, Fabiola","contributorId":244934,"corporation":false,"usgs":false,"family":"Iannarilli","given":"Fabiola","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":938740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gerber, Brian Daniel 0000-0001-9285-9784","orcid":"https://orcid.org/0000-0001-9285-9784","contributorId":354265,"corporation":false,"usgs":true,"family":"Gerber","given":"Brian Daniel","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erb, John","contributorId":170057,"corporation":false,"usgs":false,"family":"Erb","given":"John","email":"","affiliations":[],"preferred":false,"id":938742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fieberg, John R. 0000-0002-3180-7021","orcid":"https://orcid.org/0000-0002-3180-7021","contributorId":194333,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":938743,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267848,"text":"70267848 - 2025 - Advancing at-risk species recovery planning in an era of rapid ecological change with a transparent, flexible, and expert-engaged approach","interactions":[],"lastModifiedDate":"2025-06-04T14:20:29.211407","indexId":"70267848","displayToPublicDate":"2024-11-19T09:15:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Advancing at-risk species recovery planning in an era of rapid ecological change with a transparent, flexible, and expert-engaged approach","docAbstract":"<p><span>In the face of unprecedented ecological changes, the conservation community needs strategies to recover species at risk of extinction. On the Island of Maui, we collaborated with species experts and managers to assist with climate-resilient recovery planning for 36 at-risk native plant species by identifying priority areas for the management of recovery populations. To do this, we developed a tailored spatial conservation prioritization (SCP) approach distinguished by its emphasis on transparency, flexibility, and expert (TFE) engagement. Our TFE SCP approach consisted of 2 iterative steps: first, the generation of multiple candidate conservation footprints (i.e., prioritization solutions) with a flexible greedy algorithm that reflects conservation practitioners’ priorities and, second, the selection of an optimal conservation footprint based on the consideration of trade-offs in expert-agreed criteria among footprints. This process maximized buy-in by involving conservation practitioners and experts throughout, from setting goals to reviewing optimization data, defining optimization rules, and designating planning units meaningful to practitioners. We minimized the conservation footprint area necessary to meet recovery goals while incorporating species-specific measures of habitat suitability and climate resilience and retaining species-specific information for guiding recovery efforts. Our approach reduced the overall necessary conservation area by 36%, compared with selecting optimal recovery habitats for each species separately, and still identified high-quality habitat for individual species. Compared with prioritizr (an existing SCP tool), our approach identified a conservation area of equal size but with higher quality habitat. By integrating the strengths of existing techniques in a flexible and transparent design, our approach can address natural resource management constraints and provide outputs suitable for local recovery planning, consequently enhancing engagement and buy-in from conservation practitioners and experts. It demonstrates a step forward in making conservation planning more responsive to real-world complexities and helps reduce barriers to implementation for local conservation practitioners.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.14421","usgsCitation":"Fortini, L., Leopold, C., Amidon, F., Leopold, D., Fretz, S., Jacobi, J.D., Mehrhoff, L., Price, J., Duval, F., Kier, M., Oppenheimer, H., Weisenburger, L., and Sutter, R., 2025, Advancing at-risk species recovery planning in an era of rapid ecological change with a transparent, flexible, and expert-engaged approach: Conservation Biology, v. 39, e14421, 12 p., https://doi.org/10.1111/cobi.14421.","productDescription":"e14421, 12 p.","ipdsId":"IP-153553","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":490618,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.14421","text":"Publisher Index Page"},{"id":490405,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LKNAR4","text":"USGS data release","linkHelpText":"East Maui, Hawaiʻi optimization of climate resilient habitat for native plant species recovery, 2021"},{"id":489568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"east Maui","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.45181097785934,\n              20.991826078426584\n            ],\n            [\n              -156.45181097785934,\n              20.56560174441134\n            ],\n            [\n              -155.9423014350241,\n              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0000-0003-0499-3196","orcid":"https://orcid.org/0000-0003-0499-3196","contributorId":178961,"corporation":false,"usgs":false,"family":"Leopold","given":"Christina","affiliations":[],"preferred":false,"id":939125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amidon, Fred","contributorId":62934,"corporation":false,"usgs":false,"family":"Amidon","given":"Fred","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":939126,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leopold, Devin","contributorId":356341,"corporation":false,"usgs":false,"family":"Leopold","given":"Devin","affiliations":[{"id":84960,"text":"Unaffiliated, Lafayette, CO","active":true,"usgs":false}],"preferred":false,"id":939127,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fretz, Scott","contributorId":316851,"corporation":false,"usgs":false,"family":"Fretz","given":"Scott","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":939128,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":939129,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mehrhoff, Loyal","contributorId":80150,"corporation":false,"usgs":false,"family":"Mehrhoff","given":"Loyal","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":939130,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Price, Jonathan","contributorId":187456,"corporation":false,"usgs":false,"family":"Price","given":"Jonathan","affiliations":[],"preferred":false,"id":939131,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Duval, Fern","contributorId":356342,"corporation":false,"usgs":false,"family":"Duval","given":"Fern","affiliations":[{"id":84963,"text":"State of Hawai‘i, Department of Land and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":939132,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kier, Matthew","contributorId":356343,"corporation":false,"usgs":false,"family":"Kier","given":"Matthew","affiliations":[{"id":84963,"text":"State of Hawai‘i, Department of Land and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":939133,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Oppenheimer, Hank","contributorId":356344,"corporation":false,"usgs":false,"family":"Oppenheimer","given":"Hank","affiliations":[{"id":84964,"text":"Maui Nui Plant Extinction Prevention Program","active":true,"usgs":false}],"preferred":false,"id":939134,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weisenburger, Lauren","contributorId":356345,"corporation":false,"usgs":false,"family":"Weisenburger","given":"Lauren","affiliations":[{"id":84965,"text":"U.S. Fish and Wildlife Service, Pacific Islands Fish and Wildlife Office","active":true,"usgs":false}],"preferred":false,"id":939135,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sutter, Robert","contributorId":316853,"corporation":false,"usgs":false,"family":"Sutter","given":"Robert","affiliations":[{"id":68713,"text":"Enduring Conservation Outcomes, LLC","active":true,"usgs":false}],"preferred":false,"id":939136,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70265942,"text":"70265942 - 2025 - Species diversity links land consolidation to rodent disease","interactions":[],"lastModifiedDate":"2025-04-22T17:47:23.485813","indexId":"70265942","displayToPublicDate":"2024-11-18T12:44:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5263,"text":"Nature Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Species diversity links land consolidation to rodent disease","docAbstract":"<p><span>Four decades of data on rodent species composition and hantavirus prevalence across a changing urban–agricultural landscape demonstrate that long-term data are key for understanding links between biodiversity loss and disease dynamics</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41559-024-02584-5","usgsCitation":"Teitelbaum, C.S., 2025, Species diversity links land consolidation to rodent disease: Nature Ecology & Evolution, v. 9, p. 17-18, https://doi.org/10.1038/s41559-024-02584-5.","productDescription":"2 p.","startPage":"17","endPage":"18","ipdsId":"IP-171435","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":484859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2024-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Teitelbaum, Claire Stewart 0000-0001-5646-3184","orcid":"https://orcid.org/0000-0001-5646-3184","contributorId":295336,"corporation":false,"usgs":true,"family":"Teitelbaum","given":"Claire","email":"","middleInitial":"Stewart","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":934115,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70263622,"text":"70263622 - 2025 - On algorithmically determined versus traditional macroseismic intensity assignments","interactions":[],"lastModifiedDate":"2025-05-12T15:39:24.317133","indexId":"70263622","displayToPublicDate":"2024-11-18T09:26:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"On algorithmically determined versus traditional macroseismic intensity assignments","docAbstract":"<p><span>The utility of macroseismic data, defined as the effects of earthquakes on humans and the built environment, has been increasingly recognized following the advent of online systems that now produce unprecedented volumes of macroseismic intensity information. Contributed reports from the U.S. Geological Survey “Did You Feel It?” (DYFI) system (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf47\">Wald<span>&nbsp;</span><i>et&nbsp;al</i>., 1999</a><span>) are used to generate intensity values with an algorithm based on seminal work by&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf13\">Dengler and Dewey (1998)</a><span>. The algorithm was developed initially to reproduce intensity values assigned by expert opinion using questionnaire results collected by telephone survey. In this article, I discuss reasons why intensity values from (self‐selected) DYFI responses can differ from values that would be assigned by expert opinion given more complete data from randomly selected participants. For example, with the data used by&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf13\">Dengler and Dewey (1998)</a><span>, intensities near 4 could be determined from the percentage of people who felt shaking in each town. With less spatially rich data from self‐selected participants, this percentage often cannot be determined reliably. Audible noises are key additional diagnostic criteria for modified Mercalli intensity (MMI) 4, but, although the DYFI system includes a question about noise, following&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf13\">Dengler and Dewey (1998)</a><span>, the DYFI algorithm does not include a noise indicator. At the upper end of the scale, as defined the DYFI algorithm yields a maximum intensity value of 9.05, nominally corresponding to peak ground acceleration of 75%</span><i>g</i><span>. These and other factors can result in DYFI values that are low compared to traditional MMI values assigned using expert opinion, even absent factors that can bias traditional MMI assignments. Modern ground‐motion intensity conversion equations determined using DYFI intensities are expected to be appropriate for DYFI intensities, but the results of this study suggest that biases may be introduced if DYFI and traditional intensities are assumed to be interchangeable.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240266","usgsCitation":"Hough, S.E., 2025, On algorithmically determined versus traditional macroseismic intensity assignments: Seismological Research Letters, v. 96, no. 3, p. 1875-1885, https://doi.org/10.1785/0220240266.","productDescription":"11 p.","startPage":"1875","endPage":"1885","ipdsId":"IP-170826","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482158,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927598,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70261082,"text":"70261082 - 2025 - Pathology of lesions in corals from the US Virgin Islands after emergence of stony coral tissue loss disease","interactions":[],"lastModifiedDate":"2025-02-11T15:41:37.73801","indexId":"70261082","displayToPublicDate":"2024-11-18T09:08:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Pathology of lesions in corals from the US Virgin Islands after emergence of stony coral tissue loss disease","docAbstract":"<p><span>Stony coral tissue loss disease (SCTLD) was first documented in Florida in 2014 and has since spread through the Caribbean causing unprecedented mortality in more than 20 species of corals. The cause of SCTLD is unknown, but bacteria are suspected based on regression of gross lesions in some corals treated with antibiotics. Limited pathology studies on SCTLD exist, but it is likely that ‘SCTLD’ is a general term encompassing tissue loss disease of unexplained origin. Here, we examined pathology of lesions in corals from the US Virgin Islands where SCTLD has recently emerged. The typical histologic lesion of SCTLD in Florida corals was lytic necrosis comprising vacuolation and necrosis of mucus cells with erosion of mesoglea and misshapen endosymbionts with variably sized intracytoplasmic granules and common occurrence of filamentous viral-like particles in endosymbionts visible on electron microscopy (EM). In contrast, USVI corals had mainly lytic mucus cell hypertrophy and necrosis with no involvement of mesoglea, endosymbiont pathology at the light microscopy level was less evident, and VLP were rarely seen on EM. We suspect SCTLD is likely more complex with multiple presentations and potential etiologies depending on geographic region. Further pathological studies from other regions might help refine the case definition of SCTLD.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00338-024-02595-5","usgsCitation":"Work, T.M., Miller, J., Kelley, T., Hawthorn, A.C., Weatherby, T., and Rogers, C., 2025, Pathology of lesions in corals from the US Virgin Islands after emergence of stony coral tissue loss disease: Coral Reefs, v. 44, p. 179-192, https://doi.org/10.1007/s00338-024-02595-5.","productDescription":"14 p.","startPage":"179","endPage":"192","ipdsId":"IP-166422","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":464427,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"U.S. Virgin Islands","otherGeospatial":"St. John","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -64.66517045384137,\n              18.327944111890872\n            ],\n            [\n              -64.65816395729534,\n              18.342416841826363\n            ],\n            [\n              -64.70719998477635,\n              18.37370178516734\n            ],\n            [\n              -64.75788637987523,\n              18.375661114474894\n            ],\n            [\n              -64.79785306723443,\n              18.349065240938316\n            ],\n            [\n              -64.81063254129313,\n              18.32285893388371\n            ],\n            [\n              -64.77972658733694,\n              18.302124780248135\n            ],\n            [\n              -64.69937112137872,\n              18.296261220681316\n            ],\n            [\n              -64.66517045384137,\n              18.327944111890872\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2024-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":919135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Jeff","contributorId":204570,"corporation":false,"usgs":false,"family":"Miller","given":"Jeff","email":"","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":919136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, Thomas","contributorId":225507,"corporation":false,"usgs":false,"family":"Kelley","given":"Thomas","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":919137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawthorn, Aine C. 0000-0002-8029-1383","orcid":"https://orcid.org/0000-0002-8029-1383","contributorId":292709,"corporation":false,"usgs":true,"family":"Hawthorn","given":"Aine","email":"","middleInitial":"C.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":919138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weatherby, Tina","contributorId":193516,"corporation":false,"usgs":false,"family":"Weatherby","given":"Tina","affiliations":[],"preferred":false,"id":919139,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rogers, Caroline 0000-0001-9056-6961","orcid":"https://orcid.org/0000-0001-9056-6961","contributorId":223023,"corporation":false,"usgs":true,"family":"Rogers","given":"Caroline","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":919140,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263705,"text":"70263705 - 2025 - Estimation of contact time among animals from telemetry data","interactions":[],"lastModifiedDate":"2025-04-28T14:59:50.353412","indexId":"70263705","displayToPublicDate":"2024-11-14T13:13:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20078,"text":"The American Statistician","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of contact time among animals from telemetry data","docAbstract":"<p>Continuous processes in most applications are measured discretely with error. This complicates the task of detecting intersections and the number of intersections between two continuous processes (i.e., when the processes have the same value). Intersections of continuous processes are scientifically important but challenging to estimate from data. For example, in the field of animal ecology, intersections of the paths of moving animals tracked with satellite technologies can be used to understand disease transmission. We illustrate how to quantify contact between animals using telemetry data (i.e., the recorded locations of an animal over time). We introduce our method to quantify contact time with accessible concepts from introductory stochastic process literature, such as Brownian motion. Then, we provide two data examples using white-tailed deer (<i>Odocoileus virginianus</i>) and mule deer (<i>Odocoileus hemionus)</i> telemetry data in a region with high prevalence of chronic wasting disease. Our work provides a needed connection between existing model-based literature for animal movement and rule-based literature for animal interaction. Further, our work illustrates a unique statistical problem receiving minimal attention with broad applicability in human and livestock tracking.&nbsp;</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00031305.2024.2402264","usgsCitation":"Whetten, A., Hefley, T., and Haukos, D.A., 2025, Estimation of contact time among animals from telemetry data: The American Statistician, v. 79, no. 2, p. 265-274, https://doi.org/10.1080/00031305.2024.2402264.","productDescription":"10 p.","startPage":"265","endPage":"274","ipdsId":"IP-156550","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487815,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00031305.2024.2402264","text":"Publisher Index Page"},{"id":482301,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Whetten, Andrew B.","contributorId":351104,"corporation":false,"usgs":false,"family":"Whetten","given":"Andrew B.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":927906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hefley, Trevor J.","contributorId":351105,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor J.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":927907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":927908,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266063,"text":"70266063 - 2025 - Balancing the scales: Including under-represented herptile species in a One Health approach","interactions":[],"lastModifiedDate":"2025-04-24T14:51:45.920272","indexId":"70266063","displayToPublicDate":"2024-11-14T09:37:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21208,"text":"Research Directions: One Health","active":true,"publicationSubtype":{"id":10}},"title":"Balancing the scales: Including under-represented herptile species in a One Health approach","docAbstract":"<p><span>The One Health High-Level Expert Panel’s definition of One Health includes optimizing the health of people, animals (wild and domestic) and ecosystems. For many One Health practitioners, wildlife that can spread zoonoses are the focus, particularly if they can come in contact with people. However, ecosystem health is often best-indicated by less-encountered species, for instance, amphibians and reptiles. This review highlights how these taxa can benefit human health and well-being, including cultural significance, as well as their impact on plant, animal and environmental health. We highlight current challenges to the health of these species and the need to include them in the One Health Joint Action Plan. We conclude with a call to action for inclusion of amphibians and reptiles in a One Health approach.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/one.2024.14","usgsCitation":"Hopkins, M., Lesbarrères, D., Claunch, N., Emmenegger, E.J., Hardy, B., Torres-Sánchez, M., Stark, T., Julian, A., McGrath-Blaser, S., Parker-Graham, C., Haman, K., Morgan, A., and Miller, D.C., 2025, Balancing the scales: Including under-represented herptile species in a One Health approach: Research Directions: One Health, v. 2, e17, 10 p., https://doi.org/10.1017/one.2024.14.","productDescription":"e17, 10 p.","ipdsId":"IP-152995","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":487899,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/one.2024.14","text":"Publisher Index Page"},{"id":484977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Hopkins, M. Camille 0000-0003-1465-6038","orcid":"https://orcid.org/0000-0003-1465-6038","contributorId":219531,"corporation":false,"usgs":true,"family":"Hopkins","given":"M. Camille","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":934482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lesbarrères, David","contributorId":353799,"corporation":false,"usgs":false,"family":"Lesbarrères","given":"David","affiliations":[],"preferred":false,"id":934493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Claunch, Natalie 0000-0003-3144-4192","orcid":"https://orcid.org/0000-0003-3144-4192","contributorId":353783,"corporation":false,"usgs":false,"family":"Claunch","given":"Natalie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":934484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Emmenegger, Eveline J. 0000-0001-5217-6030 eemmenegger@usgs.gov","orcid":"https://orcid.org/0000-0001-5217-6030","contributorId":2434,"corporation":false,"usgs":true,"family":"Emmenegger","given":"Eveline","email":"eemmenegger@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":934485,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hardy, Bennett 0000-0003-4128-0734","orcid":"https://orcid.org/0000-0003-4128-0734","contributorId":353786,"corporation":false,"usgs":false,"family":"Hardy","given":"Bennett","affiliations":[],"preferred":false,"id":934486,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Torres-Sánchez, María 0000-0001-8484-9279","orcid":"https://orcid.org/0000-0001-8484-9279","contributorId":353788,"corporation":false,"usgs":false,"family":"Torres-Sánchez","given":"María","affiliations":[],"preferred":false,"id":934487,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stark, Tariq","contributorId":353789,"corporation":false,"usgs":false,"family":"Stark","given":"Tariq","affiliations":[],"preferred":false,"id":934488,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Julian, Angela","contributorId":353790,"corporation":false,"usgs":false,"family":"Julian","given":"Angela","affiliations":[],"preferred":false,"id":934489,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McGrath-Blaser, Sarah","contributorId":353792,"corporation":false,"usgs":false,"family":"McGrath-Blaser","given":"Sarah","affiliations":[],"preferred":false,"id":934490,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parker-Graham, Christine","contributorId":353794,"corporation":false,"usgs":false,"family":"Parker-Graham","given":"Christine","affiliations":[],"preferred":false,"id":934491,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Haman, Katie","contributorId":353797,"corporation":false,"usgs":false,"family":"Haman","given":"Katie","affiliations":[],"preferred":false,"id":934492,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Morgan, Ashley","contributorId":353868,"corporation":false,"usgs":false,"family":"Morgan","given":"Ashley","affiliations":[],"preferred":false,"id":934581,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Miller, Debra C.","contributorId":173088,"corporation":false,"usgs":false,"family":"Miller","given":"Debra","email":"","middleInitial":"C.","affiliations":[{"id":27147,"text":"U.S. Forest Service, Rocky Mountain Region, Golden, CO","active":true,"usgs":false}],"preferred":false,"id":934483,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70264170,"text":"70264170 - 2025 - Scalable, data-assimilated models predict large-scale shoreline response to waves and sea-level rise","interactions":[],"lastModifiedDate":"2025-03-07T14:45:49.03186","indexId":"70264170","displayToPublicDate":"2024-11-14T08:39:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Scalable, data-assimilated models predict large-scale shoreline response to waves and sea-level rise","docAbstract":"<p><span>Coastal change is a complex combination of multi-scale processes (e.g., wave-driven cross-shore and longshore transport; dune, bluff, and cliff erosion; overwash; fluvial and inlet sediment supply; and sea-level-driven recession). Historical sea-level-driven coastal recession on open ocean coasts is often outpaced by wave-driven change. However, future sea-level-driven coastal recession is expected to increase significantly in tandem with accelerating rates of global sea-level rise. Few models of coastal sediment transport can resolve the multitude of coastal-change processes at a given beach, and fewer still are computationally efficient enough to achieve large-scale, long-term simulations, while accounting for historical behavior and uncertainties in future climate. Here, we show that a scalable, data-assimilated shoreline-change model can achieve realistic simulations of long-term coastal change and uncertainty across large coastal regions. As part of the modeling case study of the U.S. South Atlantic Coast (Miami, Florida to Delaware Bay) presented here, we apply historical, satellite-derived observations of shoreline position combined with daily hindcasted and projected wave and sea-level conditions to estimate long-term coastal change by 2100. We find that 63 to 94% of the shorelines on the U.S. South Atlantic Coast are projected to retreat past the present-day extent of sandy beach under 1.0 to 2.0&nbsp;m of sea-level rise, respectively, without large-scale interventions.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-024-77030-4","usgsCitation":"Vitousek, S., Vos, K., Splinter, K.D., Parker, K.A., O'Neill, A., Foxgrover, A.C., Hayden, M.K., Thomas, J.A., Erikson, L.H., and Barnard, P.L., 2025, Scalable, data-assimilated models predict large-scale shoreline response to waves and sea-level rise: Scientific Reports, v. 14, 28029, 12 p., https://doi.org/10.1038/s41598-024-77030-4.","productDescription":"28029, 12 p.","ipdsId":"IP-160954","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":486935,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-77030-4","text":"Publisher Index Page"},{"id":483044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Cape Hatteras","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.54,\n              35.275\n            ],\n            [\n              -75.54,\n              35.26\n            ],\n            [\n              -75.5,\n              35.26\n            ],\n            [\n              -75.5,\n              35.275\n            ],\n            [\n              -75.54,\n              35.275\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":929993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vos, Kilian","contributorId":302610,"corporation":false,"usgs":false,"family":"Vos","given":"Kilian","affiliations":[{"id":65517,"text":"University of New South Wales - Sydney","active":true,"usgs":false}],"preferred":false,"id":929994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Splinter, Kristen D.","contributorId":147358,"corporation":false,"usgs":false,"family":"Splinter","given":"Kristen","email":"","middleInitial":"D.","affiliations":[{"id":16827,"text":"UNSW Australia","active":true,"usgs":false}],"preferred":false,"id":929995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parker, Kai Alexander 0000-0002-0268-3891","orcid":"https://orcid.org/0000-0002-0268-3891","contributorId":292869,"corporation":false,"usgs":true,"family":"Parker","given":"Kai","email":"","middleInitial":"Alexander","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":929996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O'Neill, Andrea C. 0000-0003-1656-4372 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0003-1656-4372","contributorId":5351,"corporation":false,"usgs":true,"family":"O'Neill","given":"Andrea C.","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":929997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foxgrover, Amy C. 0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":929998,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayden, Maya Kumari 0000-0002-8650-7931","orcid":"https://orcid.org/0000-0002-8650-7931","contributorId":303130,"corporation":false,"usgs":true,"family":"Hayden","given":"Maya","email":"","middleInitial":"Kumari","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":929999,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thomas, Jennifer Anne 0000-0002-8338-0146","orcid":"https://orcid.org/0000-0002-8338-0146","contributorId":297988,"corporation":false,"usgs":true,"family":"Thomas","given":"Jennifer","email":"","middleInitial":"Anne","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":930000,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":930001,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":930002,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70261185,"text":"70261185 - 2025 - Secondary contact erodes Pleistocene diversification in a wide-ranging freshwater mussel (Quadrula)","interactions":[],"lastModifiedDate":"2024-12-26T16:59:04.073931","indexId":"70261185","displayToPublicDate":"2024-11-14T07:46:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Secondary contact erodes Pleistocene diversification in a wide-ranging freshwater mussel (Quadrula)","docAbstract":"<p>The isolated river drainages of eastern North America serve as a natural laboratory to investigate the roles of allopatry and secondary contact in the evolutionary trajectories of recently diverged lineages. Drainage divides facilitate allopatric speciation, but due to their sensitivity to climatic and geomorphological changes, neighboring rivers frequently coalesce, creating recurrent opportunities of isolation and contact throughout the history of aquatic lineages. The freshwater mussel <i>Quadrula quadrula</i> is widely distributed across isolated rivers of eastern North America and possesses high phenotypic and molecular variation across its range. We integrate sequence data from three genomes, including female- and male-inherited mitochondrial markers and thousands of nuclear encoded SNPs with morphology and geography to illuminate the group's divergence history. Across contemporary isolated rivers, we found continuums of molecular and morphological variation, following a pattern of isolation by distance. In contact zones, hybridization was frequent with no apparent fitness consequences, as advanced hybrids were common. Accordingly, we recognize <i>Q. quadrula</i> as a single cohesive species with subspecific variation (<i>Q. quadrula rumphiana</i>). Demographic modeling and divergence dating supported a divergence history characterized by allopatric vicariance followed by secondary contact, likely driven by river rearrangements and Pleistocene glacial cycles. Despite clinal range-wide variation and hybridization in contact zones, the process-based species delimitation tool delimitR, which considers demographic scenarios like secondary contact, supported the delimitation of the maximum number of species tested. As such, when interpreting species delimitation results, we suggest careful consideration of spatial sampling and subsequent geographic patterns of biological variation, particularly for wide-ranging taxa.</p>","language":"English","publisher":"Wiley","doi":"10.1111/mec.17572","usgsCitation":"Keogh, S.M., Johnson, N., Smith, C.H., Sietman, B.E., Garner, J.T., Randklev, C.R., and Simons, A.M., 2025, Secondary contact erodes Pleistocene diversification in a wide-ranging freshwater mussel (Quadrula): Molecular Ecology, v. 34, no. 1, e17572, 17 p., https://doi.org/10.1111/mec.17572.","productDescription":"e17572, 17 p.","ipdsId":"IP-165898","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466688,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.17572","text":"Publisher Index Page"},{"id":464564,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"eastern North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.79518453570998,\n              48.86770340057694\n            ],\n            [\n              -95.96731836177673,\n              29.258070106398577\n            ],\n            [\n              -84.53215909329656,\n              30.47254198164042\n            ],\n            [\n              -78.95511226061333,\n              36.016970552533074\n            ],\n            [\n              -79.38782010059755,\n              42.839690061988605\n            ],\n            [\n              -83.41585431922942,\n              48.86770340057694\n            ],\n            [\n              -94.79518453570998,\n              48.86770340057694\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Keogh, Sean M.","contributorId":255502,"corporation":false,"usgs":false,"family":"Keogh","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":919550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nathan 0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":216876,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":919551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Chase H. 0000-0002-1499-0311","orcid":"https://orcid.org/0000-0002-1499-0311","contributorId":225140,"corporation":false,"usgs":false,"family":"Smith","given":"Chase","email":"","middleInitial":"H.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":919552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sietman, Bernard E.","contributorId":196565,"corporation":false,"usgs":false,"family":"Sietman","given":"Bernard","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":919553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garner, Jeffrey T.","contributorId":201224,"corporation":false,"usgs":false,"family":"Garner","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":919554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Randklev, Charles R.","contributorId":202530,"corporation":false,"usgs":false,"family":"Randklev","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":919555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Simons, Andrew M.","contributorId":346568,"corporation":false,"usgs":false,"family":"Simons","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":919556,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70260958,"text":"70260958 - 2025 - Patchy response of cheatgrass and nontarget vegetation to indaziflam and imazapic applied after wildfire in sagebrush steppe","interactions":[],"lastModifiedDate":"2024-12-10T15:35:45.732803","indexId":"70260958","displayToPublicDate":"2024-11-13T08:06:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6002,"text":"Rangeland Ecology & Management","active":true,"publicationSubtype":{"id":10}},"title":"Patchy response of cheatgrass and nontarget vegetation to indaziflam and imazapic applied after wildfire in sagebrush steppe","docAbstract":"<p><span>Control of nonnative grasses is needed where they are altering fire regimes and degrading rangelands, such as cheatgrass (</span><i>Bromus tectorum</i><span>) invasion of perennial sagebrush-steppe communities. Aerial broadcast of the pre-emergent and postemergent herbicide imazapic has been used for decades over vast areas to control cheatgrass after fire. Recent small-scale studies indicate that the pre-emergent herbicide indaziflam may provide more enduring cheatgrass control. We evaluated landscape-level vegetation responses to indaziflam sprayed in replicated areas at 66.7 g · ai · ha</span><sup>−1</sup><span>, with and without imazapic (66.1 g · ai · ha</span><sup>−1</sup><span>) over almost 500 ha of sagebrush steppe. Herbicides were strip-sprayed by helicopter in the fall of 2019 in subregions that either 1) had burned in the summer of 2019 and had moderate background cheatgrass invasion, 2) had burned in 2011 and became heavily invaded, or 3) were burned in both 2011 and 2019 and had intermediate invasion. Tarps were temporarily deployed to intercept herbicides and create untreated controls. Overall, indaziflam + imazapic had greater initial control of cheatgrass, but by 2023, both treatments led to similar ∼17 percentage-point reductions in cheatgrass cover. Cheatgrass individuals that “escaped” the herbicide treatment grew exceptionally large and fecund. There were no reductions in cover in any native vegetation type, including biocrusts, and nontarget increases in cover were observed for 1) deep-rooted perennial grasses treated with indaziflam + imazapic in the 2011 burn subregion and 2) the shallow-rooted Sandberg bluegrass (</span><i>Poa secunda</i><span>) treated with either herbicide in the 2011 or 2011 + 2019 burn subregions. Consideration of burn legacies, pretreatment landscape condition, and evenness of treatment application may improve restoration outcomes and help prioritize management allocation, timing, and treatment expectations.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.08.029","usgsCitation":"Kluender, C.R., Germino, M., Lazarus, B., and Matthews, T., 2025, Patchy response of cheatgrass and nontarget vegetation to indaziflam and imazapic applied after wildfire in sagebrush steppe: Rangeland Ecology & Management, v. 98, p. 432-440, https://doi.org/10.1016/j.rama.2024.08.029.","productDescription":"9 p.","startPage":"432","endPage":"440","ipdsId":"IP-157759","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":464227,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Minidoka National Wildlife Refuge, Snake River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.41365225404999,\n              42.685295547866104\n            ],\n            [\n              -113.41365225404999,\n              42.63884670231093\n            ],\n            [\n              -113.30724089899061,\n              42.63884670231093\n            ],\n            [\n              -113.30724089899061,\n              42.685295547866104\n            ],\n            [\n              -113.41365225404999,\n              42.685295547866104\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kluender, Chad Raymond 0000-0002-4108-4437","orcid":"https://orcid.org/0000-0002-4108-4437","contributorId":296077,"corporation":false,"usgs":true,"family":"Kluender","given":"Chad","email":"","middleInitial":"Raymond","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lazarus, Brynne E. 0000-0002-6352-486X","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":242732,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matthews, Ty","contributorId":280032,"corporation":false,"usgs":false,"family":"Matthews","given":"Ty","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":918698,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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