{"pageNumber":"181","pageRowStart":"4500","pageSize":"25","recordCount":165244,"records":[{"id":70251899,"text":"70251899 - 2024 - The post-emergence period for denning polar bears: Phenology and influence on cub survival","interactions":[],"lastModifiedDate":"2024-03-06T12:40:30.031978","indexId":"70251899","displayToPublicDate":"2024-03-02T06:39:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"The post-emergence period for denning polar bears: Phenology and influence on cub survival","docAbstract":"<p class=\"chapter-para\">Among polar bears (<i>Ursus maritimus</i>), only parturient females den for extended periods, emerging from maternal dens in spring after having substantially depleted their energy reserves during a fast that can exceed 8 months. Although den emergence coincides with a period of increasing prey availability, polar bears typically do not depart immediately to hunt, but instead remain at the den for up to a month. This delay suggests that there are likely adaptive advantages to remaining at the den between emergence and departure, but the influence of the timing and duration of this post-emergence period on cub survival has not been evaluated previously. We used temperature and location data from 70 denning bears collared within the Southern Beaufort Sea and Chukchi Sea subpopulations to estimate the phenology of the post-emergence period. We evaluated the influence of various spatial and temporal features on duration of the post-emergence period and evaluated the potential influence of post-emergence duration on litter survival early in the spring following denning. For dens that likely contained viable cubs at emergence (<i>n</i><span>&nbsp;</span>= 56), mean den emergence occurred on 16 March (SE = 1.4 days) and mean departure on 24 March (SE = 1.6 days), with dates typically occurring later in the Chukchi Sea relative to Southern Beaufort Sea and on land relative to sea ice. Mean duration of the post-emergence period was 7.9 days (SE = 1.4) for bears that were observed with cubs later in the spring, which was over 4 times longer than duration of those observed without cubs (1.9 days). Litter survival in the spring following denning (<i>n</i><span>&nbsp;</span>= 31 dens) increased from 0.5 to 0.9 when duration of the post-emergence period increased by ~4 days and other variables were held at mean values. Our limited sample size and inability to verify cub presence at emergence suggests that future research is merited to improve our understanding of this relationship. Nonetheless, our results highlight the importance of the post-emergence period in contributing to reproductive success and can assist managers in developing conservation and mitigation strategies in denning areas, which will be increasingly important as human activities expand in the Arctic.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyae010","usgsCitation":"Andersen, E., Wilson, R., Rode, K.D., Durner, G.M., Atwood, T.C., and Gustine, D., 2024, The post-emergence period for denning polar bears: Phenology and influence on cub survival: Journal of Mammalogy, gyae010, 12 p., https://doi.org/10.1093/jmammal/gyae010.","productDescription":"gyae010, 12 p.","ipdsId":"IP-149193","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":440246,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyae010","text":"Publisher Index Page"},{"id":435028,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7G73BTD","text":"USGS data release","linkHelpText":"Estimated Post-Emergence Period for Denning Polar Bears of the Chukchi and Beaufort Seas"},{"id":426357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, Erik","contributorId":334600,"corporation":false,"usgs":false,"family":"Andersen","given":"Erik","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":896013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Ryan R. ","contributorId":222456,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan R. ","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":896014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":896015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":896016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":896017,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gustine, David","contributorId":200449,"corporation":false,"usgs":false,"family":"Gustine","given":"David","affiliations":[],"preferred":false,"id":896018,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251873,"text":"70251873 - 2024 - Characterization of change in tree cover state and condition over the conterminous United States","interactions":[],"lastModifiedDate":"2024-03-05T12:39:16.803118","indexId":"70251873","displayToPublicDate":"2024-03-02T06:37:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of change in tree cover state and condition over the conterminous United States","docAbstract":"<div class=\"html-p\">Variability in the effects of disturbances and extreme climate events can lead to changes in tree cover over time, including partial or complete loss, with diverse ecological consequences. It is therefore critical to identify in space and time the change processes that lead to tree cover change. Studies of change are often hampered by the lack of data capable of consistently detecting different types of change. Using the Landsat satellite record to create a long time-series of land cover and land cover change, the U.S. Geological Survey Land Change Monitoring Assessment and Projection (LCMAP) project has made an annual time series of land cover across the conterminous United States for the period 1985 to 2018. Multiple LCMAP products analyzed together with map validation reference plots provide a robust basis for understanding tree cover change. In LCMAP (Collection 1.2), annual change detection is based on harmonic model breaks calculated at each Landsat pixel from the Continuous Change Detection and Classification (CCDC) algorithm. The results showed that the majority of CCDC harmonic model breaks (signifying change) indicated partial tree cover loss (associated with management practices such as tree cover thinning) as compared to complete tree cover loss (associated with practices like clearcut harvest or fire disturbance). Substantially fewer occurrences of complete tree cover loss were associated with change in land cover state. The area of annual tree cover change increased after the late 1990s and stayed high for the rest of the study period. The reference data showed that tree harvest dominated across the conterminous United States. The majority of tree cover change occurred in evergreen forests. Large estimates of disturbance-related tree cover change indicated that tree cover loss may have previously been underreported due to omission of partial tree cover loss in prior studies. This has considerable implications for forest carbon accounting along with tracking ecosystem goods and services.</div>","language":"English","publisher":"MDPI","doi":"10.3390/f15030470","usgsCitation":"Dwomoh, F.K., and Auch, R.F., 2024, Characterization of change in tree cover state and condition over the conterminous United States: Forests, v. 15, no. 3, 470, 15 p., https://doi.org/10.3390/f15030470.","productDescription":"470, 15 p.","ipdsId":"IP-162043","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":440247,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f15030470","text":"Publisher Index Page"},{"id":426309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      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Federal","active":true,"usgs":false}],"preferred":false,"id":895882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Auch, Roger F. 0000-0002-5382-5044 auch@usgs.gov","orcid":"https://orcid.org/0000-0002-5382-5044","contributorId":667,"corporation":false,"usgs":true,"family":"Auch","given":"Roger","email":"auch@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":895883,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70253078,"text":"70253078 - 2024 - Summary of annual repeat magnetotelluric surveys of the Geysers geothermal field","interactions":[],"lastModifiedDate":"2026-03-25T18:52:28.479094","indexId":"70253078","displayToPublicDate":"2024-03-01T13:46:58","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Summary of annual repeat magnetotelluric surveys of the Geysers geothermal field","docAbstract":"<p>As part of a multi-year project, funded by the California Energy Commission, annual magnetotelluric (MT) surveys have been collected at The Geysers geothermal field in northern California with the goal of measuring temporal changes within the steam field. The repeat surveys started in 2021 and repeated a 2017 survey (Peacock et al., 2020) with further extension to the southern part of the geothermal field. Temporal variations in the MT transfer functions are observed to be spatially coherent and compartmentalized. Mapping residual phase tensor ellipses demonstrates the direction of maximum change is often aligned with existing fracture orientations. Three dimensional inversion of the MT data, using the inversion results from previous years as the starting model, indicates that the steam reservoir has generally become more resistive over time (~10%), suggesting more steam in the field. A few pockets within the steam field have become more electrically conductive over time and are collocated with injection wells, suggesting either more fluid content in those zones, less steam, or more saline fluids. &nbsp;</p>","conferenceTitle":"49th Workshop on Geothermal Reservoir Engineering","conferenceDate":"February 12-14, 2024","conferenceLocation":"Stanford, CA","language":"English","publisher":"Stanford University","usgsCitation":"Peacock, J.R., Alumbaugh, D., Mitchell, M.A., and Hartline, C., 2024, Summary of annual repeat magnetotelluric surveys of the Geysers geothermal field, 49th Workshop on Geothermal Reservoir Engineering, Stanford, CA, February 12-14, 2024, 6 p.","productDescription":"6 p.","ipdsId":"IP-161861","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":501541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501540,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/IGAstandard/record_detail.php?id=36417","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Geysers geothermal field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.9167,\n              38.9\n            ],\n            [\n              -122.9167,\n              38.7333\n            ],\n            [\n              -122.667,\n              38.7333\n            ],\n            [\n              -122.667,\n              38.9\n            ],\n            [\n              -122.9167,\n              38.9\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peacock, Jared R. 0000-0002-0439-0224 jpeacock@usgs.gov","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":4996,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared","email":"jpeacock@usgs.gov","middleInitial":"R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":899089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alumbaugh, David 0000-0002-6975-7197","orcid":"https://orcid.org/0000-0002-6975-7197","contributorId":299109,"corporation":false,"usgs":false,"family":"Alumbaugh","given":"David","email":"","affiliations":[{"id":64775,"text":"Berkeley National Lab","active":true,"usgs":false}],"preferred":false,"id":899090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Michael Albert 0000-0001-5070-8793","orcid":"https://orcid.org/0000-0001-5070-8793","contributorId":299110,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"","middleInitial":"Albert","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":899091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartline, C.","contributorId":335661,"corporation":false,"usgs":false,"family":"Hartline","given":"C.","affiliations":[{"id":38755,"text":"Calpine","active":true,"usgs":false}],"preferred":false,"id":899092,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256493,"text":"70256493 - 2024 - Nonbreeding waterfowl behavioral response to crewed and uncrewed aerial surveys on conservation areas in Missouri","interactions":[],"lastModifiedDate":"2024-08-07T16:39:31.038012","indexId":"70256493","displayToPublicDate":"2024-03-01T11:33:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Nonbreeding waterfowl behavioral response to crewed and uncrewed aerial surveys on conservation areas in Missouri","docAbstract":"<p>Monitoring waterfowl populations provides the basis for improving habitat quantity and quality, establishing harvest regulations, and ensuring sustainable waterfowl populations through appropriate management. Waterfowl biologists currently use a variety of population and habitat monitoring methods ranging from informal ground observations to low-level occupied aircraft surveys. Although unoccupied aerial systems (UAS) may provide safer and more precise alternatives to traditional aerial survey techniques that are less disturbing to waterfowl, there is limited information on how waterfowl in winter respond to UAS. We compared the behavioral responses of waterfowl to helicopters and UAS on Missouri Department of Conservation wetland conservation areas October – February 2021-2022. Helicopter surveys were flown using an Airbus H125 helicopter at heights of 100 – 350 m, with UAS surveys flown using a DJI Mavic 2 Pro UAS at 15 – 90 m. Waterfowl behavior was categorized as alert, swim, fly, or abandonment using flock-scan surveys recorded for 10-minute periods before, during, and after the surveys. The percentage of time flocks spent in each behavior during- or post-survey were compared to time spent in those behaviors pre-survey. Waterfowl increased time spent swimming, flying, and abandonment in response to helicopter flights, whereas UAS flights did not influence overall waterfowl behavior. Additionally, waterfowl did not change behavior in response to UAS flights regardless of waterfowl guild (mallard, other duck, or goose) or hunting season (open or closed). Waterfowl did increase flight behavior during UAS flights at 30 m, however, there was no change in behavior at all other UAS survey altitudes. UAS may be a good alternative to traditional waterfowl survey methods and are not likely to affect waterfowl distributions or energy expenditures during the survey periods.</p>","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Viegut, R.A., Webb, E.B., Raedeke, A., Tang, Z., Zhang, Y., and Shang, Y., 2024, Nonbreeding waterfowl behavioral response to crewed and uncrewed aerial surveys on conservation areas in Missouri: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 11, p. 127-136.","productDescription":"10 p.","startPage":"127","endPage":"136","ipdsId":"IP-149506","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":431830,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://seafwa.org/node/5337"},{"id":432366,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Viegut, Reid A.","contributorId":340889,"corporation":false,"usgs":false,"family":"Viegut","given":"Reid","email":"","middleInitial":"A.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":907642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raedeke, Andrew H.","contributorId":340890,"corporation":false,"usgs":false,"family":"Raedeke","given":"Andrew H.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":907644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tang, Zhicheng","contributorId":340891,"corporation":false,"usgs":false,"family":"Tang","given":"Zhicheng","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":907645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Yang","contributorId":340892,"corporation":false,"usgs":false,"family":"Zhang","given":"Yang","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":907646,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shang, Yi","contributorId":340893,"corporation":false,"usgs":false,"family":"Shang","given":"Yi","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":907647,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70256472,"text":"70256472 - 2024 - Comparison of two otolith processing methods for silver carp age estimation","interactions":[],"lastModifiedDate":"2024-08-06T16:35:10.492401","indexId":"70256472","displayToPublicDate":"2024-03-01T11:20:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of two otolith processing methods for silver carp age estimation","docAbstract":"<p><span>Accurate age estimates are critical in the development, implementation, and assessment of silver carp (</span><i>Hypophthalmichthys molitrix</i><span>) management plans. Lapilli otoliths are the most commonly used calcified structures for silver carp age estimation, but studies on the precision of two established preparation methods [i.e., grind-and-burn (GB), thin-section (TS)] are lacking. Therefore, we assessed within-reader, between-reader, and between-method precision for 125 silver carp collected from six rivers throughout the Lower Mississippi River Basin (Arkansas, Cache, Mississippi, St. Francis, White, and Yazoo). Additionally, we compared the effort and material costs associated with each method. Overall, younger ages were estimated with the GB method (median estimated age = 6 yr, range = 3–12) than the TS method (median estimated age = 7 yr, range = 3–13). Between-method comparisons revealed low agreement (average CV = 16.40) and significant bias (Evans-Hoenig χ2 = 31.81, P &lt; 0.01) between the two methods, particularly in older individuals. The TS method (average CV = 12.50) displayed similar between-reader precision to the GB method (average CV = 11.75). Younger age estimates for the GB method may be a result of misidentification of annuli near the otolith margin as both readers reported that TS otoliths offered clearer views than GB otoliths. Processing effort (TS method = 6.7 min otolith–1; GB method = 4.6 min otolith–1) and material costs (TS method = US$0.37 otolith–1; GB method = $0.34 otolith–1) were similar for the two methods and are likely not a factor when choosing an age estimation protocol. Our results indicate that use of the TS method for silver carp age estimation may lead to less biased age estimates, especially in established populations with greater abundances of older individuals, assuming putative additional annuli observed in thin-sections are true annuli.</span></p>","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Stevens, J.N., Barshinger, C.E., Spurgeon, J.J., Eggleton, M.A., and Lochmann, S.E., 2024, Comparison of two otolith processing methods for silver carp age estimation: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 11, p. 36-44.","productDescription":"9 p.","startPage":"36","endPage":"44","ipdsId":"IP-154097","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":431813,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://seafwa.org/journal/2024/comparison-two-otolith-processing-methods-estimating-age-silver-carp"},{"id":432294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Jeff N.","contributorId":340758,"corporation":false,"usgs":false,"family":"Stevens","given":"Jeff","email":"","middleInitial":"N.","affiliations":[{"id":81661,"text":"University of Arkansas at Pine Bluff","active":true,"usgs":false}],"preferred":false,"id":907522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barshinger, Cooper E.","contributorId":340759,"corporation":false,"usgs":false,"family":"Barshinger","given":"Cooper","email":"","middleInitial":"E.","affiliations":[{"id":81661,"text":"University of Arkansas at Pine Bluff","active":true,"usgs":false}],"preferred":false,"id":907523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spurgeon, Jonathan J. 0000-0002-6888-5867","orcid":"https://orcid.org/0000-0002-6888-5867","contributorId":304259,"corporation":false,"usgs":true,"family":"Spurgeon","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eggleton, Michael A.","contributorId":340760,"corporation":false,"usgs":false,"family":"Eggleton","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":81661,"text":"University of Arkansas at Pine Bluff","active":true,"usgs":false}],"preferred":false,"id":907525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lochmann, Steve E.","contributorId":340761,"corporation":false,"usgs":false,"family":"Lochmann","given":"Steve","email":"","middleInitial":"E.","affiliations":[{"id":81661,"text":"University of Arkansas at Pine Bluff","active":true,"usgs":false}],"preferred":false,"id":907526,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261865,"text":"70261865 - 2024 - Delta blue(green)s: The effect of drought and drought-management actions on microcystis in the Sacramento–San Joaquin Delta","interactions":[],"lastModifiedDate":"2024-12-31T17:01:30.344758","indexId":"70261865","displayToPublicDate":"2024-03-01T10:52:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Delta blue(green)s: The effect of drought and drought-management actions on microcystis in the Sacramento–San Joaquin Delta","docAbstract":"<p>Cyanobacterial phytoplankton blooms are more prevalent in the freshwater Sacramento-San Joaquin Delta (Delta) since the late 1990s, including blooms driven by overgrowths of potentially toxigenic organisms of the genus<span>&nbsp;</span><i>Microcystis</i>. Data from 2014 to 2021 were used to show how flow dynamics, water temperature, and water clarity drive occurrence of<span>&nbsp;</span><i>Microcystis</i>. We used a Microcystis bloom in the central Delta from 2021 as a case study for how novel monitoring tools can track blooms in real-time and be used post hoc to evaluate the effects of management actions.</p><p><i>Microcystis</i><span>&nbsp;</span>was detected throughout the Delta in all but the highest-flow years, and bloom incidence and severity increased during drier years. In the South Delta, Franks Tract, lower San Joaquin River, and Old River regions, where blooms are most prevalent, higher water temperatures and clarities combined with lower exports from state and federal water projects were the best explanatory factors for the occurrence of Microcystis blooms. Nutrient concentrations were lower in summer than in winter, but only became limiting at high phytoplankton concentrations.</p><p>We used satellite data and in situ continuous monitoring of flow, phytoplankton communities, and water quality to track hydro-biogeochemical conditions during the 2021 case study<span>&nbsp;</span><i>Microcystis</i><span>&nbsp;</span>bloom in the Central Delta. We did not find evidence that changes to Delta outflow regulatory standards contributed to this bloom, but changes in flow caused by a salinity barrier placed in west False River may have exacerbated the bloom. The frequency and severity of droughts are expected to increase in the future as a result of climate change, and our study demonstrates how continued monitoring of cyanotoxins, water quality, and phytoplankton communities could help improve management of cyanobacterial blooms in the Delta and other estuaries.</p>","language":"English","publisher":"University of California Davis","doi":"10.15447/sfews.2024v22iss1art2","usgsCitation":"Bouma-Gregson, K., Bosworth, D., Flynn, T., Maguire, A., Rinde, J., and Hartman, R., 2024, Delta blue(green)s: The effect of drought and drought-management actions on microcystis in the Sacramento–San Joaquin Delta: San Francisco Estuary and Watershed Science, v. 22, no. 1, 2, 39 p., https://doi.org/10.15447/sfews.2024v22iss1art2.","productDescription":"2, 39 p.","ipdsId":"IP-149616","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":467026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2024v22iss1art2","text":"Publisher Index Page"},{"id":465580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.66242740252514,\n              38.73105407088619\n            ],\n            [\n              -122.63741310268495,\n              38.73105407088619\n            ],\n            [\n              -122.63741310268495,\n              37.06608164483798\n            ],\n            [\n              -121.66242740252514,\n              37.06608164483798\n            ],\n            [\n              -121.66242740252514,\n              38.73105407088619\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"22","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Bouma-Gregson, Keith 0000-0002-0304-6034","orcid":"https://orcid.org/0000-0002-0304-6034","contributorId":311235,"corporation":false,"usgs":true,"family":"Bouma-Gregson","given":"Keith","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bosworth, David 0000-0003-0740-3390","orcid":"https://orcid.org/0000-0003-0740-3390","contributorId":347649,"corporation":false,"usgs":false,"family":"Bosworth","given":"David","affiliations":[{"id":40593,"text":"CA Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":922084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynn, Theodore M. 0000-0002-1838-8942","orcid":"https://orcid.org/0000-0002-1838-8942","contributorId":347651,"corporation":false,"usgs":false,"family":"Flynn","given":"Theodore M.","affiliations":[{"id":40593,"text":"CA Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":922085,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maguire, Amanda","contributorId":347652,"corporation":false,"usgs":false,"family":"Maguire","given":"Amanda","affiliations":[{"id":40593,"text":"CA Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":922086,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rinde, Jenna 0000-0001-6677-4701","orcid":"https://orcid.org/0000-0001-6677-4701","contributorId":347655,"corporation":false,"usgs":false,"family":"Rinde","given":"Jenna","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":922087,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hartman, Rosemary","contributorId":200388,"corporation":false,"usgs":false,"family":"Hartman","given":"Rosemary","email":"","affiliations":[],"preferred":false,"id":922088,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257392,"text":"70257392 - 2024 - Second guessing the maximum likelihood estimator values for bat surveys","interactions":[],"lastModifiedDate":"2026-02-10T18:07:14.5025","indexId":"70257392","displayToPublicDate":"2024-03-01T10:37:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Second guessing the maximum likelihood estimator values for bat surveys","docAbstract":"<p>T<span>The U.S. Fish and Wildlife Service allows acoustical surveys and automated identification software to determine the presence of the endangered northern long-eared bat (</span><i>Myotis septentrionalis</i><span>) and Indiana bat (</span><i>Myotis sodalis</i><span>). Analytical software is required to assess presence probability on a site-night basis using a maximum likelihood estimator (MLE) that accounts for interspecific bat misclassification rates. The current standard for occupancy is a returned MLE P-value &lt; 0.05 at the nightly level irrespective of the number of files identified as either northern long-eared bats or Indiana bats. These MLE P-values can vary based on presence of other bat species with similar calls and the relative proportions of all species recorded. Accordingly, there is concern that with few nightly northern long-eared bat or Indiana bat recordings or the presence of large numbers of high-frequency bats, false-negative findings from a swamping effect could result. Using data collected in 2020–2021 by the U.S. Fish and Wildlife Service to set nationwide acoustic monitoring guidelines, we examined the relationship of returned software MLE P-values from 4873 site-nights of acoustic detector data relative to nightly counts of northern long-eared bats and Indiana bats, overall counts of other high-frequency bats, and habitat cover type. For both northern long-eared bats and Indiana bats, nights with one or more echolocation pass files identified as either species but above the MLE P-value threshold largely occurred where nightly counts of the target species was &lt;15 and their proportion to the count of high-frequency bat species was low. We followed this analysis with a simulation using a known call library and observed similar patterns. Accordingly, with few nightly cholocation passes, post-hoc visual assessment following automated software identification easily could be undertaken. Evidence of swamping by other high-frequency species causing positive file identification creating false-negative or false-positives of northern long-eared bats and Indiana bats was not apparent at nightly counts of either species &gt; 10.</span></p>","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Ford, W., De La Cruz, J., Thorne, E., Silvis, A., Armstrong, M., and King, R.A., 2024, Second guessing the maximum likelihood estimator values for bat surveys: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 11, p. 177-184.","productDescription":"8 p.","startPage":"177","endPage":"184","ipdsId":"IP-154040","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":499715,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://seafwa.org/journal/2024/second-guessing-maximum-likelihood-estimator-values-bat-surveys","linkFileType":{"id":5,"text":"html"}},{"id":433021,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Illinoise, Indiana, Kentucky, Missouri, New Jersey, Ohio, Tennessee, Virginia, West Virginia, Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-85.605165,34.984678],[-85.188741,32.889727],[-84.925427,32.221551],[-85.141831,31.839261],[-84.999626,31.009079],[-87.598928,30.997457],[-87.615367,30.837031],[-87.39643,30.617734],[-87.440678,30.391498],[-87.656888,30.249709],[-88.014572,30.222366],[-87.766626,30.262353],[-88.008396,30.684956],[-88.191542,30.317002],[-88.402283,30.510852],[-88.468879,31.930262],[-88.097888,34.892202],[-88.172102,34.955213],[-90.309297,34.995694],[-90.301957,34.880053],[-90.453916,34.891122],[-90.469897,34.72703],[-90.565437,34.736536],[-90.486966,34.701477],[-90.657488,34.322231],[-90.89456,34.22438],[-90.870461,34.082739],[-91.048367,33.985078],[-91.000107,33.799549],[-91.125527,33.70878],[-91.046778,33.706313],[-91.205377,33.700819],[-91.191973,33.417728],[-91.064701,33.453775],[-91.141615,33.299539],[-91.05873,33.286901],[-91.183662,33.141691],[-91.124639,33.064127],[-91.265018,33.005084],[-94.024475,33.019207],[-94.043375,33.542315],[-94.485577,33.65331],[-94.432015,35.367391],[-94.617814,36.577732],[-94.605734,39.122204],[-95.082714,39.516712],[-94.876344,39.806894],[-95.382957,40.027112],[-95.731179,40.525436],[-91.785916,40.611488],[-91.375746,40.391879],[-91.406202,40.542698],[-91.123928,40.669152],[-90.952233,40.954047],[-91.100829,41.230532],[-91.05158,41.385283],[-90.364128,41.579633],[-90.153362,41.915593],[-90.206369,42.1455],[-90.700095,42.622461],[-91.072447,42.787732],[-91.175193,43.103771],[-91.079278,43.228259],[-91.31531,43.881808],[-91.970266,44.365842],[-92.787906,44.737432],[-92.802056,45.057423],[-92.650422,45.398507],[-92.883987,45.65487],[-92.683924,45.903939],[-92.319329,46.069289],[-92.291647,46.604649],[-92.178891,46.716741],[-91.781928,46.697604],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.327548,46.550262],[-89.929158,46.29975],[-88.141001,45.930608],[-88.13364,45.823128],[-87.831442,45.714938],[-87.887828,45.358122],[-87.647454,45.345232],[-87.72796,45.207956],[-87.59188,45.094689],[-87.983065,44.72073],[-87.970702,44.530292],[-87.021088,45.296541],[-87.048406,45.094259],[-87.467089,44.553557],[-87.910172,43.236634],[-87.779527,42.732482],[-87.812461,42.232278],[-87.511043,41.696535],[-83.504334,41.731547],[-82.513827,41.384257],[-81.69325,41.514161],[-80.533774,41.973475],[-80.519342,39.721403],[-79.476662,39.721078],[-79.412051,39.240546],[-78.795857,39.606934],[-78.474178,39.51624],[-78.143478,39.690412],[-77.853436,39.607117],[-77.797714,39.19424],[-78.347087,39.466012],[-78.436658,39.141691],[-78.865905,38.767034],[-78.993997,38.850102],[-79.26291,38.444586],[-79.649075,38.591515],[-80.314806,37.500943],[-81.67821,37.201483],[-81.936744,37.38073],[-81.943981,37.5303],[-83.128813,36.757864],[-83.625013,36.625183],[-81.6469,36.611918],[-82.02664,36.130222],[-82.325169,36.119363],[-82.531292,35.972188],[-82.701065,36.034404],[-82.955751,35.809802],[-83.880074,35.518745],[-84.052612,35.269982],[-84.28252,35.227877],[-84.321869,34.988408],[-85.605165,34.984678]]],[[[-75.210876,39.865709],[-74.760605,40.198909],[-75.191059,40.637971],[-75.110595,41.002174],[-74.821884,41.293838],[-74.641544,41.332879],[-73.91188,41.001297],[-74.246237,40.520963],[-73.971381,40.371709],[-74.090945,39.799978],[-74.850748,38.954538],[-74.933571,38.928519],[-74.905181,39.174945],[-75.165979,39.201842],[-75.542894,39.470447],[-75.466263,39.750737],[-75.210876,39.865709]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Alabama\",\"nation\":\"USA 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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":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":910218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De La Cruz, Jesse L.","contributorId":342611,"corporation":false,"usgs":false,"family":"De La Cruz","given":"Jesse L.","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":910223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorne, Emily D.","contributorId":342606,"corporation":false,"usgs":false,"family":"Thorne","given":"Emily D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":910219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Silvis, Alexander","contributorId":342607,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","affiliations":[{"id":40299,"text":"West Virginia Division of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Armstrong, Michael P.","contributorId":342608,"corporation":false,"usgs":false,"family":"Armstrong","given":"Michael P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":910221,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, R. Andrew","contributorId":342609,"corporation":false,"usgs":false,"family":"King","given":"R.","email":"","middleInitial":"Andrew","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":910222,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263100,"text":"70263100 - 2024 - Southern fox squirrel and eastern gray squirrel interactions in a fire-maintained ecosystem","interactions":[],"lastModifiedDate":"2025-01-29T16:39:26.167514","indexId":"70263100","displayToPublicDate":"2024-03-01T10:33:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Southern fox squirrel and eastern gray squirrel interactions in a fire-maintained ecosystem","docAbstract":"<p><span>Southern fox squirrels (</span><i>Sciurus niger niger</i><span>) have been declining due to habitat fragmentation, cover type conversion, and fire suppression in the Southeast. A decrease in growing season burns has led to hardwood encroachment and forest mesophication that benefit the competing eastern gray squirrels (</span><i>S. carolinensis</i><span>). In the southern Coastal Plain and Piedmont of Virginia, these pattern raises the question of whether gray squirrels are competitively excluding southern fox squirrels in these altered landscapes. From October 2019 to October 2020, we conducted continual camera trapping for southern fox squirrels and gray squirrels on the Big Woods/Piney Grove Complex (BWPGC) and at Fort Barfoot (FB) in the Coastal Plain and lower Piedmont of Virginia, respectively. Both sites are among the few areas that still contain large, intact pine savanna and mixed-pine hardwood forests in southeastern Virginia. We used two-species occupancy modeling to investigate occupancy estimates of southern fox squirrels and possible competition with gray squirrels, based on detection histories collected from camera traps on BWPGC and FB. We then conducted informed single-species occupancy modeling to estimate the necessary level-of-effort (LOE) required to determine the probable absence of southern fox squirrels at sampling sites in the region. No fox squirrels were observed at FB. Our top, two-species occupancy model showed that gray squirrel occupancy increased with increasing time since last burn. However, southern fox squirrel occupancy, in the absence of gray squirrels, decreased with increasing time since last burn. Gray squirrels typically inhabited hardwood-dominant closed canopy areas whereas southern fox squirrels did so at BWPGC only in the absence of gray squirrels. This suggests that southern fox squirrels are selecting areas on BWPGC based on resource needs and possibly competition with gray squirrels. A single-season occupancy model confirmed that southern fox squirrel occupancy decreased with time since the last burn. Our LOE analysis </span><span>indicated that seven consecutive days of camera trapping without a detection would provide 90% confidence of the subspecies’ absence in areas burned two or more years prior to sampling. Southern fox squirrels may benefit from increased short-rotation burns to maintain or enhance pine-hardwood savannas and pine-hardwood savanna ecotones in southeastern Virginia.</span></p>","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Guill, M., De La Cruz, J., Puckett, M., Klopfer, S., Martin, B., and Ford, W., 2024, Southern fox squirrel and eastern gray squirrel interactions in a fire-maintained ecosystem: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 11, p. 215-222.","productDescription":"8 p.","startPage":"215","endPage":"222","ipdsId":"IP-142691","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481441,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://seafwa.org/journal/2024/southern-fox-squirrel-and-eastern-gray-squirrel-interactions-fire-maintained-ecosystem"},{"id":481465,"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              -78,\n              37.1\n            ],\n            [\n              -78,\n              36.9\n            ],\n            [\n              -77,\n              36.9\n            ],\n            [\n              -77,\n              37.1\n            ],\n            [\n              -78,\n              37.1\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Guill, M.H.","contributorId":350233,"corporation":false,"usgs":false,"family":"Guill","given":"M.H.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":925510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De La Cruz, J.L.","contributorId":349847,"corporation":false,"usgs":false,"family":"De La Cruz","given":"J.L.","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":925511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Puckett, M.","contributorId":350236,"corporation":false,"usgs":false,"family":"Puckett","given":"M.","affiliations":[{"id":56188,"text":"Virginia Department of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":925512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klopfer, S.D.","contributorId":350239,"corporation":false,"usgs":false,"family":"Klopfer","given":"S.D.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":925513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, B.","contributorId":350241,"corporation":false,"usgs":false,"family":"Martin","given":"B.","affiliations":[{"id":83699,"text":"Fort Pickett","active":true,"usgs":false}],"preferred":false,"id":925514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":925515,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251261,"text":"70251261 - 2024 - Grand Canyon, uranium mines, and groundwater; investigating the connection","interactions":[],"lastModifiedDate":"2025-03-14T15:34:32.155596","indexId":"70251261","displayToPublicDate":"2024-03-01T10:31:00","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":8569,"text":"Boatman's Quarterly Review","active":true,"publicationSubtype":{"id":30}},"title":"Grand Canyon, uranium mines, and groundwater; investigating the connection","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Grand Canyon River Guides","usgsCitation":"Cooney, K., 2024, Grand Canyon, uranium mines, and groundwater; investigating the connection: Boatman's Quarterly Review, v. 37, no. 1, p. 10-12.","productDescription":"3 p.","startPage":"10","endPage":"12","ipdsId":"IP-161520","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":483358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":483357,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.gcrg.org/bqr","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.46367729677088,\n              36.91869593816463\n            ],\n            [\n              -114.00065472873125,\n              36.91869593816463\n            ],\n            [\n              -114.00065472873125,\n              35.66460950465459\n            ],\n            [\n              -111.46367729677088,\n              35.66460950465459\n            ],\n            [\n              -111.46367729677088,\n              36.91869593816463\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"37","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cooney, Kathryn Anne 0009-0008-7912-604X","orcid":"https://orcid.org/0009-0008-7912-604X","contributorId":333720,"corporation":false,"usgs":true,"family":"Cooney","given":"Kathryn Anne","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893735,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70263334,"text":"70263334 - 2024 - Second guessing the maximum likelihood estimator values for bat surveys.","interactions":[],"lastModifiedDate":"2025-02-06T16:31:28.382195","indexId":"70263334","displayToPublicDate":"2024-03-01T10:27:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Second guessing the maximum likelihood estimator values for bat surveys.","docAbstract":"<p><span>The U.S. Fish and Wildlife Service allows acoustical surveys and automated identification software to determine the presence of the endangered northern long-eared bat (</span><i>Myotis septentrionalis</i><span>) and Indiana bat (</span><i>Myotis sodalis</i><span>). Analytical software is required to assess presence probability on a site-night basis using a maximum likelihood estimator (MLE) that accounts for interspecific bat misclassification rates. The current standard for occupancy is a returned MLE P-value &lt; 0.05 at the nightly level irrespective of the number of files identified as either northern long-eared bats or Indiana bats. These MLE P-values can vary based on presence of other bat species with similar calls and the relative proportions of all species recorded. Accordingly, there is concern that with few nightly northern long-eared bat or Indiana bat recordings or the presence of large numbers of high-frequency bats, false-negative findings from a swamping effect could result. Using data collected in 2020–2021 by the U.S. Fish and Wildlife Service to set nationwide acoustic monitoring guidelines, we examined the relationship of returned software MLE P-values from 4873 site-nights of acoustic detector data relative to nightly counts of northern long-eared bats and Indiana bats, overall counts of other high-frequency bats, and habitat cover type. For both northern long-eared bats and Indiana bats, nights with one or more echolocation pass files identified as either species but above the MLE P-value threshold largely occurred where nightly counts of the target species was &lt;15 and their proportion to the count of high-frequency bat species was low. We followed this analysis with a simulation using a known call library and observed similar patterns. Accordingly, with few nightly cholocation passes, post-hoc visual assessment following automated software identification easily could be undertaken. Evidence of swamping by other high-frequency species causing positive file identification creating false-negative or false-positives of northern long-eared bats and Indiana bats was not apparent at nightly counts of either species &gt; 10.</span></p>","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Ford, W., De La Cruz, J.L., Thorne, E., Silvis, A., Armstrong, M., and King, R.A., 2024, Second guessing the maximum likelihood estimator values for bat surveys.: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 11, p. 177-184.","productDescription":"8 p.","startPage":"177","endPage":"184","ipdsId":"IP-167031","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481729,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://seafwa.org/journal/2024/second-guessing-maximum-likelihood-estimator-values-bat-surveys"},{"id":481754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Illinois, Indiana, Kentucky, Missouri, New Jersey, Ohio, Tennessee, Virginia, West Virginia, Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-85.605165,34.984678],[-85.188741,32.889727],[-84.925427,32.221551],[-85.141831,31.839261],[-84.999626,31.009079],[-87.598928,30.997457],[-87.615367,30.837031],[-87.39643,30.617734],[-87.440678,30.391498],[-87.656888,30.249709],[-88.014572,30.222366],[-87.766626,30.262353],[-88.008396,30.684956],[-88.191542,30.317002],[-88.402283,30.510852],[-88.468879,31.930262],[-88.097888,34.892202],[-88.172102,34.955213],[-90.309297,34.995694],[-90.301957,34.880053],[-90.453916,34.891122],[-90.469897,34.72703],[-90.565437,34.736536],[-90.486966,34.701477],[-90.657488,34.322231],[-90.89456,34.22438],[-90.870461,34.082739],[-91.048367,33.985078],[-91.000107,33.799549],[-91.125527,33.70878],[-91.046778,33.706313],[-91.205377,33.700819],[-91.191973,33.417728],[-91.064701,33.453775],[-91.141615,33.299539],[-91.05873,33.286901],[-91.183662,33.141691],[-91.124639,33.064127],[-91.265018,33.005084],[-94.024475,33.019207],[-94.043375,33.542315],[-94.485577,33.65331],[-94.432015,35.367391],[-94.617814,36.577732],[-94.605734,39.122204],[-95.082714,39.516712],[-94.876344,39.806894],[-95.382957,40.027112],[-95.731179,40.525436],[-91.785916,40.611488],[-91.375746,40.391879],[-91.406202,40.542698],[-91.123928,40.669152],[-90.952233,40.954047],[-91.100829,41.230532],[-91.05158,41.385283],[-90.364128,41.579633],[-90.153362,41.915593],[-90.206369,42.1455],[-90.700095,42.622461],[-91.072447,42.787732],[-91.175193,43.103771],[-91.079278,43.228259],[-91.31531,43.881808],[-91.970266,44.365842],[-92.787906,44.737432],[-92.802056,45.057423],[-92.650422,45.398507],[-92.883987,45.65487],[-92.683924,45.903939],[-92.319329,46.069289],[-92.291647,46.604649],[-92.178891,46.716741],[-91.781928,46.697604],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.327548,46.550262],[-89.929158,46.29975],[-88.141001,45.930608],[-88.13364,45.823128],[-87.831442,45.714938],[-87.887828,45.358122],[-87.647454,45.345232],[-87.72796,45.207956],[-87.59188,45.094689],[-87.983065,44.72073],[-87.970702,44.530292],[-87.021088,45.296541],[-87.048406,45.094259],[-87.467089,44.553557],[-87.910172,43.236634],[-87.779527,42.732482],[-87.812461,42.232278],[-87.365439,41.629536],[-86.824828,41.76024],[-83.504334,41.731547],[-82.513827,41.384257],[-81.69325,41.514161],[-80.533774,41.973475],[-80.519342,39.721403],[-79.476662,39.721078],[-79.412051,39.240546],[-78.795857,39.606934],[-78.474178,39.51624],[-78.143478,39.690412],[-77.853436,39.607117],[-77.759315,39.345314],[-77.058254,38.880069],[-77.286202,38.347025],[-77.024866,38.386791],[-76.910832,38.197073],[-76.265998,37.91138],[-76.339892,37.655966],[-76.722156,37.83668],[-76.252415,37.447274],[-76.475927,37.250543],[-76.300352,37.00885],[-76.780532,37.209336],[-76.482407,36.917364],[-76.058154,36.916947],[-75.867044,36.550754],[-81.680137,36.585518],[-81.718282,36.350388],[-82.02664,36.130222],[-82.325169,36.119363],[-82.531292,35.972188],[-82.701065,36.034404],[-82.955751,35.809802],[-83.880074,35.518745],[-84.052612,35.269982],[-84.28252,35.227877],[-84.321869,34.988408],[-85.605165,34.984678]]],[[[-75.210876,39.865709],[-74.760605,40.198909],[-75.191059,40.637971],[-75.110595,41.002174],[-74.821884,41.293838],[-74.641544,41.332879],[-73.91188,41.001297],[-74.246237,40.520963],[-73.971381,40.371709],[-74.090945,39.799978],[-74.850748,38.954538],[-74.933571,38.928519],[-74.905181,39.174945],[-75.165979,39.201842],[-75.542894,39.470447],[-75.466263,39.750737],[-75.210876,39.865709]]],[[[-75.242266,38.027209],[-75.962596,37.117535],[-75.981624,37.434116],[-75.712065,37.936082],[-75.242266,38.027209]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Alabama\",\"nation\":\"USA  \"}}]}","volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":926480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De La Cruz, Jesse L.","contributorId":343174,"corporation":false,"usgs":false,"family":"De La Cruz","given":"Jesse","email":"","middleInitial":"L.","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":926482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorne, Emily D.","contributorId":342150,"corporation":false,"usgs":false,"family":"Thorne","given":"Emily D.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":926481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Silvis, Alexander","contributorId":264896,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","affiliations":[{"id":54472,"text":"RES Inc.","active":true,"usgs":false}],"preferred":false,"id":926483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Armstrong, Michael P.","contributorId":342608,"corporation":false,"usgs":false,"family":"Armstrong","given":"Michael P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":926485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, R. Andrew","contributorId":342609,"corporation":false,"usgs":false,"family":"King","given":"R.","email":"","middleInitial":"Andrew","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":926486,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70253187,"text":"70253187 - 2024 - Risk to campsites from debris flows and flash floods project update","interactions":[],"lastModifiedDate":"2025-03-14T15:14:51.082217","indexId":"70253187","displayToPublicDate":"2024-03-01T10:23:02","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":8569,"text":"Boatman's Quarterly Review","active":true,"publicationSubtype":{"id":30}},"title":"Risk to campsites from debris flows and flash floods project update","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Grand Canyon River Guides","usgsCitation":"Byerley, E.P., Grams, P.E., Gushue, T., and Sartain, S., 2024, Risk to campsites from debris flows and flash floods project update: Boatman's Quarterly Review, v. 37, no. 1 (Spring), p. 18-19.","productDescription":"2 p.","startPage":"18","endPage":"19","ipdsId":"IP-162230","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":483240,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":483238,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.gcrg.org/bqr","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.33074644490493,\n              36.91870475540857\n            ],\n            [\n              -114.08318862547097,\n              36.91870475540857\n            ],\n            [\n              -114.08318862547097,\n              35.65865035177029\n            ],\n            [\n              -111.33074644490493,\n              35.65865035177029\n            ],\n            [\n              -111.33074644490493,\n              36.91870475540857\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"37","issue":"1 (Spring)","noUsgsAuthors":false,"publicationDate":"2024-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Byerley, Erica Paige 0009-0003-8483-7528","orcid":"https://orcid.org/0009-0003-8483-7528","contributorId":333657,"corporation":false,"usgs":true,"family":"Byerley","given":"Erica","email":"","middleInitial":"Paige","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":899432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":899433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gushue, Thomas M. 0000-0002-7172-2460","orcid":"https://orcid.org/0000-0002-7172-2460","contributorId":213515,"corporation":false,"usgs":true,"family":"Gushue","given":"Thomas M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":899434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sartain, Shannon Leigh 0000-0003-2395-6825","orcid":"https://orcid.org/0000-0003-2395-6825","contributorId":290222,"corporation":false,"usgs":true,"family":"Sartain","given":"Shannon Leigh","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":899435,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257541,"text":"70257541 - 2024 - Seasonal activity patterns of northern long-eared bats at hibernacula in western Virginia","interactions":[],"lastModifiedDate":"2024-09-10T15:30:02.139861","indexId":"70257541","displayToPublicDate":"2024-03-01T10:21:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal activity patterns of northern long-eared bats at hibernacula in western Virginia","docAbstract":"<p>&nbsp;Understanding the relationships of biotic and abiotic factors to seasonal activity at hibernacula is important for the conservation of bats impacted by white-nose syndrome (WNS). Research on the relative and probable activity patterns of the federally endangered northern long-eared bat (<i>Myotis septentrionalis</i>) primarily has focused on summer maternity colonies, whereas surveys at hibernacula have traditionally relied on external capture and internal counts. We used passive acoustic monitoring to assess the relative and probable activity of northern long-eared bats at 13 hibernacula in western Virginia, from August 2020 to May 2022. Northern long-eared bats were most active near hibernacula during warmer weeks of the fall swarm and spring emergence, when rainfall was low. Similarly, the probability of northern long-eared bat activity was highest near hibernacula during the spring/summer season. However, unlike relative activity, the likelihood of recording northern long-eared bats was associated with more heterogeneous, interior forests. Our results suggest that northern long-eared bat activity largely follows the described pre-WNS hibernation phenology of the species. Therefore, acoustical surveys to monitor northern long-eared bat populations at hibernacula should focus on entrances during peak activity periods (mid-April and early September), rather than the nearby landscape. Finally, management to promote resource-rich foraging habitat adjacent to hibernacula for use during swarming and emergence may increase survival during hibernation, fitness for spring migration, and ultimately, improve the reproductive success of northern long-eared bats in western Virginia. </p>","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"De La Cruz, J.L., Reynolds, R., Orndorff, W., Malabad, T., Kosic Ficco, K., Powers, K., and Ford, W., 2024, Seasonal activity patterns of northern long-eared bats at hibernacula in western Virginia: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 11, p. 196-205.","productDescription":"10 p.","startPage":"196","endPage":"205","ipdsId":"IP-154039","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":432842,"rank":1,"type":{"id":15,"text":"Index 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Thomas","contributorId":343177,"corporation":false,"usgs":false,"family":"Malabad","given":"Thomas","email":"","affiliations":[{"id":49911,"text":"Virginia Department of Conservation and Recreation","active":true,"usgs":false}],"preferred":false,"id":910659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kosic Ficco, Katarina","contributorId":343178,"corporation":false,"usgs":false,"family":"Kosic Ficco","given":"Katarina","email":"","affiliations":[{"id":49911,"text":"Virginia Department of Conservation and Recreation","active":true,"usgs":false}],"preferred":false,"id":910660,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Powers, Karen E.","contributorId":343179,"corporation":false,"usgs":false,"family":"Powers","given":"Karen E.","affiliations":[{"id":34752,"text":"Radford University","active":true,"usgs":false}],"preferred":false,"id":910661,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":910662,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70257538,"text":"70257538 - 2024 - Seasonal activity patterns of northern long-eared bats on the coastal Mid-Atlantic","interactions":[],"lastModifiedDate":"2024-09-09T11:12:12.04529","indexId":"70257538","displayToPublicDate":"2024-03-01T10:09:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal activity patterns of northern long-eared bats on the coastal Mid-Atlantic","docAbstract":"<p><span>Conservation of bats declining from white-nose syndrome (WNS) impacts requires an understanding of both temporal and landscape-level habitat relationships. Traditionally, much of the research on bat ecology has focused on behavior of summer maternity colonies within species’ distribution cores, including that of the endangered northern long-eared bat (</span><i>Myotis septentrionalis</i><span>). To further our knowledge of this species, we evaluated multi-season activity patterns in eastern North Carolina and Virginia, including areas where populations were recently discovered. We used passive acoustic monitoring to assess relative and probable activity of northern long-eared bats from October 2016 to August 2021. Northern long-eared bat relative activity was greatest in areas containing greater proportions of woody wetlands and upland pine-dominated evergreen forests. However, the likelihood of recording northern long-eared bats was associated with smaller proportions of woody wetlands and open water resources. Furthermore, we observed a higher probability of recording northern long-eared bats during non-winter seasons. Probable activity was greatest at temperatures between 10 and 25 C, potentially highlighting an optimal thermoneutral zone for the species regionally. Relative activity of northern long-eared bats on the Coastal Plain of Virginia and North Carolina was primarily driven by cover features, whereas probable activity was driven by a combination of cover features, seasonality, and temperature. Therefore, acoustical surveys for this species may be most effective when targeting woody wetlands adjacent to upland forests, particularly upland pine-dominated evergreen stands, during moderate temperatures of non-winter seasons (1 April–15 November). Moreover, conservation of a diverse mosaic of woody wetlands juxtaposed by upland forests may promote both roosting and overwintering habitat, thereby enhancing overwintering survival, maternity colony establishment, and ultimately, successful reproduction of northern long-eared bats.</span></p>","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"De La Cruz, J., Kalen, N.J., Barr, E., Thorne, E., Silvis, A., Reynolds, R., and Ford, W., 2024, Seasonal activity patterns of northern long-eared bats on the coastal Mid-Atlantic: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 11, p. 185-195.","productDescription":"11 p.","startPage":"185","endPage":"195","ipdsId":"IP-154596","costCenters":[{"id":199,"text":"Coop Res Unit 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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":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":910655,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70264589,"text":"70264589 - 2024 - Surface elevation trends in North Carolina's coastal wetlands","interactions":[],"lastModifiedDate":"2025-03-17T14:31:11.336488","indexId":"70264589","displayToPublicDate":"2024-03-01T09:22:04","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Surface elevation trends in North Carolina's coastal wetlands","docAbstract":"<p>Coastal wetlands exist in the narrow fringe between uplands and open water and consequently, are uniquely vulnerable to the impacts of sea level rise (SLR). Predictive models suggest that in the coming decades sea level rise will lead to substantial losses of coastal wetland habitat in North Carolina. Empirical measurements of wetland response to SLR are vital for understanding which wetland complexes are most immediately threatened, so that mitigation, adaptation, and conservation efforts can be prioritized accordingly. Surface Elevation Tables (SETs) provide high resolution measures of wetland elevation change that can meet this need. </p><p>The North Carolina SET Community of Practice (NC SET COP) is a voluntary and unfunded partnership among stakeholders who have either installed Surface Elevation Tables (SETs) in North Carolina coastal wetlands, or who rely on SET data. The NC SET COP was formed in 2018 to identify and map the locations of all SETs installed within North Carolina, increase collaboration among SET users, and support efforts to identify regional trends in North Carolina coastal wetland response to sea level rise. The data presented here represent the first synoptic analysis of elevation trend data collected by NC SET COP partners. </p><p>Of 132 SETs installed across North Carolina (NC), 33 recorded net losses in elevation over the entire record of measurement. Among the 99 SETs that recorded positive elevation change, 79 (80%) did not build elevation fast enough to keep pace with the average rate of SLR over the past 30 years. The story these data tell is clear: the majority of NC’s coastal wetlands are not keeping pace with SLR. These data also provide a spatially explicit understanding of which wetlands are most at risk, and as a result, the SET data can help guide the use of restoration efforts for maximum effectiveness.</p>","language":"English","publisher":"North Carolina SET Community of Practice (NC SET COP)","usgsCitation":"Fearn, R., Bowler, C., Savage, R., Donovoan-Bradenburg, P., Houran, A., Corbett, R., Hamilton, S., Currin, C., Davis, J., Greene, M., Hilting, A., Puckett, B., Walker, Q., Ridge, J., Cothron, C., Spiegler, S., Ardón, M., Burchell, M., Goldberg, N., McCall, A., Soderholm, E., Voss, C., Sutter, L., Moorman, M., Neville, J.A., and Vervaeke, C., 2024, Surface elevation trends in North Carolina's coastal wetlands, 26 p.","productDescription":"26 p.","ipdsId":"IP-163810","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":483447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":483425,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://iris.fws.gov/APPS/ServCat/Reference/Profile/165618"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.10443069673155,\n              33.519335540206015\n            ],\n            [\n              -74.98941423988983,\n              33.519335540206015\n            ],\n            [\n              -74.98941423988983,\n              36.576711673926496\n            ],\n            [\n              -79.10443069673155,\n              36.576711673926496\n            ],\n            [\n              -79.10443069673155,\n           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,{"id":70257410,"text":"70257410 - 2024 - occupancyTuts: Occupancy modelling tutorials with RPresence","interactions":[],"lastModifiedDate":"2024-08-30T16:17:48.478518","indexId":"70257410","displayToPublicDate":"2024-03-01T09:07:08","publicationYear":"2024","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":"occupancyTuts: Occupancy modelling tutorials with RPresence","docAbstract":"<p>1. The occupancy modelling framework offers tremendous flexibility in estimating species abundance and distribution patterns while accounting for imperfect detection, and has seen rapid growth and adoption since its introduction at the beginning of the century.</p><p>2. At the same time, in an era of big data, there are increasing demands on developing quantitative skills and proficiency in young ecologists, many of whom lack the quantitative training needed to conduct research professionally.</p><p>3. We introduce <i>occupancyTuts</i>, an R package that features 28 <i>learnr</i> tutorials that teach the statistical underpinnings of several occupancy models. The tutorials include written content, instructional videos, R exercises, and quiz elements, covering a range of topics including statistical underpinnings, single- and dynamic-occupancy models, study design and several of the ‘spin-off’ models that extend the basic framework.</p><p>4. We plan for development of new tutorials that use <i>RPresence</i> as the analysis engine, and welcome new tutorial contributions that use other <i>R</i> packages as the analysis engine as well.</p>","language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.14285","usgsCitation":"Donovan, T.M., Hines, J.E., and MacKenzie, D., 2024, occupancyTuts: Occupancy modelling tutorials with RPresence: Methods in Ecology and Evolution, v. 15, no. 3, p. 477-483, https://doi.org/10.1111/2041-210X.14285.","productDescription":"7 p.","startPage":"477","endPage":"483","ipdsId":"IP-156509","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":440251,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14285","text":"Publisher Index Page"},{"id":433381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hines, James E. 0000-0002-3927-9411 jhines@usgs.gov","orcid":"https://orcid.org/0000-0002-3927-9411","contributorId":342662,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":910266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacKenzie, Darryl","contributorId":342664,"corporation":false,"usgs":false,"family":"MacKenzie","given":"Darryl","affiliations":[{"id":81910,"text":"Proteus Consulting","active":true,"usgs":false}],"preferred":false,"id":910267,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257400,"text":"70257400 - 2024 - Home range size and resource use by eastern spotted skunks in Virginia","interactions":[],"lastModifiedDate":"2024-09-03T18:15:21.426914","indexId":"70257400","displayToPublicDate":"2024-03-01T08:07:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Home range size and resource use by eastern spotted skunks in Virginia","docAbstract":"<p>Throughout much of the eastern U.S., many forested ecosystems have lost large amounts of core forest areas due to land-use change, isolating wildlife in forest fragments. The eastern spotted skunk (<i>Spilogale putorius</i>) is considered a species of conservation concern in Virginia, where populations are restricted to spatially disjunct forest patches in the central Appalachian Mountains. We caught and radio-tagged eastern spotted skunks in the Appalachian Mountains of Virginia to assess whether current habitat fragmentation restricts skunk movements and hence distribution, potentially leading to isolation among habitat patches. Denning home range size (approximately 3.7 km<sup>2</sup>) in our study was smaller than those in other studies of eastern spotted skunks and excursive movements were primarily limited to core forested areas (&gt;2 km<sup>2</sup>). Core forested areas were used more than non-forested and forest-edge areas. We conclude core forest area fragmentation limits eastern spotted skunk movement between mountain ridges. Increased forest patch connectivity may help prevent genetic and demographic isolation, reduce the likelihood of local extinctions, and facilitate colonization of suitable unoccupied areas.</p>","language":"English","publisher":"The Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Thorne, E., Fies, M.L., and Ford, W., 2024, Home range size and resource use by eastern spotted skunks in Virginia: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 11, p. 206-214.","productDescription":"9 p.","startPage":"206","endPage":"214","ipdsId":"IP-154042","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":433372,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":433399,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://seafwa.org/sites/default/files/journal-articles/j11-26-thorne-et-al-206-214.pdf"}],"country":"United 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 \"}}]}","volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thorne, Emily D.","contributorId":342643,"corporation":false,"usgs":false,"family":"Thorne","given":"Emily D.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":910253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fies, Michael L.","contributorId":342646,"corporation":false,"usgs":false,"family":"Fies","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":81907,"text":"Virginia Department Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":910254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":910255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70259731,"text":"70259731 - 2024 - Determining the distribution, status, and linkages of Agassiz's desert tortoise populations in the uplands surrounding the Coachella Valley","interactions":[],"lastModifiedDate":"2024-10-22T12:28:52.510945","indexId":"70259731","displayToPublicDate":"2024-03-01T07:27:37","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Determining the distribution, status, and linkages of Agassiz's desert tortoise populations in the uplands surrounding the Coachella Valley","docAbstract":"In support of the goals of the Coachella Valley Conservation Commission and the Bureau of Land Management, we performed surveys to determine the status, distribution, demographics, and possible genetic linkages of Agassiz’s desert tortoise (Gopherus agassizii) populations within the Coachella Valley Multiple Species Habitat Conservation Plan (CVMSHCP) area during a multi-decadal megadrought. Federal, state, and numerous parcels of privately owned conservation lands in the uplands around the periphery of the Coachella Valley were surveyed. Desert tortoise distribution data collected will be used to develop a species habitat model. These data will be overlaid with location data of flammable invasive plant species to inform fuels management and invasive plant control efforts in sensitive species habitat, as well as continue to identify high quality habitat and important desert tortoise linkage areas around the Coachella Valley. We also surveyed two established G. agassizii study plots – one at the Mesa Wind Energy Facility near Palm Springs, California and one at the Boyd Deep Canyon Desert Research Center. At those locations, we used resurveys and radio telemetry to assess habitat use, demography, and population status. We also used camera trapping at Deep Canyon to observe tortoise activities and behaviors in an unusual low elevation tortoise habitat.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2023 CVCC Annual Report","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Coachella Valley Conservation Commission","collaboration":"Coachella Valley Conservation Commission, Bureau of Land Management, UCR Boyd Deep Canyon Desert Research Center, Joshua Tree National Park, University of California Riverside, California State University at Fullerton, California Department of Fish and Wildlife","usgsCitation":"Puffer, M.R., Lovich, J.E., and Cummings, K.L., 2024, Determining the distribution, status, and linkages of Agassiz's desert tortoise populations in the uplands surrounding the Coachella Valley, 77 p.","productDescription":"77 p.","startPage":"177","endPage":"253","ipdsId":"IP-150045","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":463075,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cvmshcp.org/annual-reports/Annual-Report-2023.pdf"},{"id":463092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coachella Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.83577301985537,\n              34.107460375171385\n            ],\n            [\n              -116.83577301985537,\n              33.31867102335272\n            ],\n            [\n              -115.76010558997707,\n              33.31867102335272\n            ],\n            [\n              -115.76010558997707,\n              34.107460375171385\n            ],\n            [\n              -116.83577301985537,\n              34.107460375171385\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Puffer, Michele R. 0000-0003-4957-0963","orcid":"https://orcid.org/0000-0003-4957-0963","contributorId":225575,"corporation":false,"usgs":true,"family":"Puffer","given":"Michele","email":"","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cummings, Kristy L. 0000-0002-8316-5059","orcid":"https://orcid.org/0000-0002-8316-5059","contributorId":202061,"corporation":false,"usgs":true,"family":"Cummings","given":"Kristy","email":"","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916496,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70251870,"text":"70251870 - 2024 - Implementation of the CREED approach for environmental assessments","interactions":[],"lastModifiedDate":"2024-07-01T14:21:23.001449","indexId":"70251870","displayToPublicDate":"2024-03-01T06:51:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Implementation of the CREED approach for environmental assessments","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Environmental exposure data are a key component of chemical and ecological assessments, supporting and guiding environmental management decisions and regulations. Measures taken to protect the environment based on exposure data can have social and economic implications. Flawed information may lead to measures being taken in the wrong place or to important action not being taken. Although the advantages of harmonizing evaluation methods have been demonstrated for hazard information, no comparable approach is established for exposure data evaluation. The goal of Criteria for Reporting and Evaluating Exposure Datasets (CREED) is to improve the transparency and consistency with which exposure data are evaluated regarding usability in environmental assessments. Here, we describe the synthesis of the CREED process, and propose methods and tools to summarize and interpret the outcomes of the data usability evaluation in support of decision-making and communication. The CREED outcome includes a summary that reports any key gaps or shortcomings in the reliability (data quality) and relevance (fitness for purpose) of the data being considered. The approach has been implemented in a workbook template (provided as&nbsp;Supporting Information), for assessors to readily follow the workflow and create a report card for any given dataset. The report card communicates the outcome of the CREED evaluation and summarizes important dataset attributes, providing a concise reference pertaining to the dataset usability for a specified purpose and documenting data limitations that may restrict data use or increase environmental assessment uncertainty. The application of CREED is demonstrated through three case studies, which also were used during beta testing of the methodology. As experience with the CREED approach application develops, further improvements may be identified and incorporated into the framework. Such development is to be encouraged in the interest of better science and decision-making, and to make environmental monitoring and assessment more cost-effective.<span>&nbsp;</span></p></div></div>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.4909","usgsCitation":"Di Paolo, C., Bramke, I., Stauber, J., Whalley, C., Otter, R.R., Verhaegen, Y., Nowell, L.H., and Ryan, A.C., 2024, Implementation of the CREED approach for environmental assessments: Integrated Environmental Assessment and Management, v. 20, no. 4, p. 1019-1034, https://doi.org/10.1002/ieam.4909.","productDescription":"16 p.","startPage":"1019","endPage":"1034","ipdsId":"IP-155929","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":440257,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4909","text":"Publisher Index Page"},{"id":426313,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Di Paolo, Carolina","contributorId":334529,"corporation":false,"usgs":false,"family":"Di Paolo","given":"Carolina","email":"","affiliations":[{"id":80166,"text":"Dow Benelux B.V., Netherlands","active":true,"usgs":false}],"preferred":false,"id":895873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bramke, Irene","contributorId":334530,"corporation":false,"usgs":false,"family":"Bramke","given":"Irene","email":"","affiliations":[{"id":80167,"text":"AstraZeneca BV, Netherlands","active":true,"usgs":false}],"preferred":false,"id":895874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stauber, Jenny","contributorId":200691,"corporation":false,"usgs":false,"family":"Stauber","given":"Jenny","email":"","affiliations":[],"preferred":false,"id":895875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whalley, Caroline","contributorId":334531,"corporation":false,"usgs":false,"family":"Whalley","given":"Caroline","email":"","affiliations":[{"id":80168,"text":"European Environment Agency, Denmark","active":true,"usgs":false}],"preferred":false,"id":895876,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Otter, Ryan R.","contributorId":205916,"corporation":false,"usgs":false,"family":"Otter","given":"Ryan","email":"","middleInitial":"R.","affiliations":[{"id":37193,"text":"Middle Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":895877,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Verhaegen, Yves","contributorId":334532,"corporation":false,"usgs":false,"family":"Verhaegen","given":"Yves","email":"","affiliations":[{"id":80169,"text":"Concawe, Belgium","active":true,"usgs":false}],"preferred":false,"id":895878,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":895879,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ryan, Adam C.","contributorId":175564,"corporation":false,"usgs":false,"family":"Ryan","given":"Adam","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":895880,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70251962,"text":"70251962 - 2024 - Analysis adapted from text mining quantitively reveals abrupt and gradual plant-community transitions after fire in sagebrush steppe","interactions":[],"lastModifiedDate":"2024-03-08T12:45:44.617355","indexId":"70251962","displayToPublicDate":"2024-03-01T06:44:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Analysis adapted from text mining quantitively reveals abrupt and gradual plant-community transitions after fire in sagebrush steppe","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Context</h3><p>Plant communities vary both abruptly and gradually over time but differentiating between types of change can be difficult with existing classification and ordination methods. Structural topic modeling (STRUTMO), a text mining analysis, offers a flexible methodology for analyzing both types of temporal trends.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Objectives</h3><p>Our objectives were to (1) identify post-fire dominant sagebrush steppe plant association types and ask how they vary with time at a landscape (multi-fire) scale and (2) ask how often major association changes are apparent at the plot-level scale.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We used STRUTMO and plant species cover collected between 2002–2022 across six large burn areas (1941 plots) in the Great Basin, USA to characterize landscape change in dominant plant association up to 14&nbsp;years post-fire. In a case study, we assessed frequency of large annual changes (≥ 10% increase in one association and decrease in another) between associations at the plot-level scale.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>STRUTMO revealed 10 association types dominated by either perennial bunchgrasses, mixed perennial or annual grasses and forbs, or exotic annual grasses. Across all study fires, associations dominated by large-statured perennial bunchgrasses increased then stabilized, replacing the Sandberg bluegrass (<i>Poa secunda</i>)-dominated association. The cheatgrass (<i>Bromus tectorum</i>)-dominant association decreased and then increased. At the plot-level, bidirectional changes among associations occurred in ~ 75% of observations, and transitions from annual invaded to perennial associations were more common than the reverse.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>The analysis revealed that associations dominated by some species (i.e. crested wheatgrass,<span>&nbsp;</span><i>Agropyron cristatum</i>, Siberian wheatgrass,<span>&nbsp;</span><i>Agropyron fridgida</i>, or medusahead,<span>&nbsp;</span><i>Taeniatherum caput-medusae</i>) were more stable than associations dominated by others (i.e. Sandberg bluegrass or cheatgrass). Strong threshold-like transitions were not observed at the multi-fire scale, despite frequent ephemeral plot-level changes.</p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10980-024-01824-0","usgsCitation":"Applestein, C., Anthony, C.R., and Germino, M., 2024, Analysis adapted from text mining quantitively reveals abrupt and gradual plant-community transitions after fire in sagebrush steppe: Landscape Ecology, v. 39, 64, 16 p., https://doi.org/10.1007/s10980-024-01824-0.","productDescription":"64, 16 p.","ipdsId":"IP-155006","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":440260,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s10980-024-01824-0","text":"Publisher Index Page"},{"id":426445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Nevada, Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.0478683572567,\n              45.37400249120009\n            ],\n            [\n              -122.0478683572567,\n              38.46464355773841\n            ],\n            [\n              -113.71058234080544,\n              38.46464355773841\n            ],\n            [\n              -113.71058234080544,\n              45.37400249120009\n            ],\n            [\n              -122.0478683572567,\n              45.37400249120009\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"39","noUsgsAuthors":false,"publicationDate":"2024-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Applestein, Cara 0000-0002-7923-8526","orcid":"https://orcid.org/0000-0002-7923-8526","contributorId":205748,"corporation":false,"usgs":true,"family":"Applestein","given":"Cara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":896180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anthony, Christopher R. 0000-0003-0968-224X","orcid":"https://orcid.org/0000-0003-0968-224X","contributorId":296314,"corporation":false,"usgs":true,"family":"Anthony","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":896181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":896182,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252084,"text":"70252084 - 2024 - River control points for algal productivity revealed by transport analysis","interactions":[],"lastModifiedDate":"2024-03-13T11:45:21.970555","indexId":"70252084","displayToPublicDate":"2024-03-01T06:43:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"River control points for algal productivity revealed by transport analysis","docAbstract":"<div class=\"article-section__content en main\"><p>Measurement of planktonic chlorophyll-<i>a</i>—a proxy for algal biomass—in rivers may represent local production or algae transported from upstream, confounding understanding of algal bloom development in flowing waters. We modeled 3&nbsp;years of chlorophyll-<i>a</i><span>&nbsp;</span>transport through a 394-km portion of the Illinois River and found that although algal biomass is longitudinally widespread, most net production occurs at river control points in the upper reaches (up to 3.7&nbsp;Mg chlorophyll-<i>a</i>&nbsp;y<sup>−1</sup>&nbsp;km<sup>−1</sup>). Up to 69% of the algal biomass in the upper river was a result of within-reach production, with the remainder recruited from headwaters and tributaries. High chlorophyll-<i>a</i><span>&nbsp;</span>measured farther downstream was largely because of transport from source-area control points, with substantial net losses of algal biomass occurring in the lower river. Modeling the often-overlooked river transport component is necessary to characterize where, when, and why planktonic algae grow and predict how far and fast they move downstream.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GL105137","usgsCitation":"Schmadel, N., Harvey, J., Choi, J., Stackpoole, S.M., Graham, J.L., and Murphy, J.C., 2024, River control points for algal productivity revealed by transport analysis: Geophysical Research Letters, v. 51, no. 5, e2023GL105137, 9 p., https://doi.org/10.1029/2023GL105137.","productDescription":"e2023GL105137, 9 p.","ipdsId":"IP-151006","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":440261,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gl105137","text":"Publisher Index Page"},{"id":435029,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90HH4ML","text":"USGS data release","linkHelpText":"Modeled transport components of daily chlorophyll-a in the Illinois River, 2018 through 2020 (version 1.1, April 2024)"},{"id":426575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.27487370571164,\n              38.58275713326145\n            ],\n            [\n              -88.79260162684496,\n              39.90132733013263\n            ],\n            [\n              -88.15161910625382,\n              40.58932852042713\n            ],\n            [\n              -87.59075940073683,\n              40.892859478896895\n            ],\n            [\n              -87.33036025174653,\n              41.854833694469335\n            ],\n            [\n              -87.77103573465293,\n              42.53745121066041\n            ],\n            [\n              -89.19321570221454,\n              42.2415670269576\n            ],\n            [\n              -90.15468948310105,\n              41.17992998036772\n            ],\n            [\n              -91.31647030167187,\n              40.37603324800443\n            ],\n            [\n              -91.5568387468935,\n              39.48517522353134\n            ],\n            [\n              -91.13619396775577,\n              38.83285050932602\n            ],\n            [\n              -90.57533426223881,\n              38.535767277021904\n            ],\n            [\n              -90.27487370571164,\n              38.58275713326145\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schmadel, Noah 0000-0002-2046-1694","orcid":"https://orcid.org/0000-0002-2046-1694","contributorId":219105,"corporation":false,"usgs":true,"family":"Schmadel","given":"Noah","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":896570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219104,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":896571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Choi, Jay 0000-0001-6276-133X","orcid":"https://orcid.org/0000-0001-6276-133X","contributorId":334810,"corporation":false,"usgs":true,"family":"Choi","given":"Jay","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":896572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922 sstackpoole@usgs.gov","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":3784,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"sstackpoole@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":896573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896574,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896575,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70252153,"text":"70252153 - 2024 - Nerodia clarkii (Saltmarsh Watersnake). Predation","interactions":[],"lastModifiedDate":"2024-03-18T11:26:58.907817","indexId":"70252153","displayToPublicDate":"2024-03-01T06:26:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Nerodia clarkii (Saltmarsh Watersnake). Predation","docAbstract":"Predators of Nerodia clarkii are suspected to include larger species of crabs, fish, wading birds, snakes, alligators, and crocodiles. To our knowledge, there have only been two published observations of predation on N. clarkii, including a predation attempt from a Callinectes sapidus (Blue Crab) in Mississippi, USA and a successful predation by a Grus americana (Whooping Crane) in Texas, USA. Herein we report on predation of N. clarkii and a suspected Nerodia clarkii x fasciata pictiventris (Saltmarsh Watersnake and Florida Banded Watersnake) hybrid by Crocodylus acutus (American Crocodile) in South Florida, USA.","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Daykin, B.L., Godfrey, S.T., Cherkiss, M., Blakemore, G., and Mazzotti, F., 2024, Nerodia clarkii (Saltmarsh Watersnake). Predation: Herpetological Review, v. 54, no. 3, p. 492-493.","productDescription":"2 p.","startPage":"492","endPage":"493","ipdsId":"IP-145293","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":426723,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"},{"id":426737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Daykin, Bryna L.","contributorId":334874,"corporation":false,"usgs":false,"family":"Daykin","given":"Bryna","email":"","middleInitial":"L.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":896754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Godfrey, Sidney T.","contributorId":302877,"corporation":false,"usgs":false,"family":"Godfrey","given":"Sidney","email":"","middleInitial":"T.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":896755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cherkiss, Michael 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":222180,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":896756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blakemore, Gareth","contributorId":334876,"corporation":false,"usgs":false,"family":"Blakemore","given":"Gareth","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":896757,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mazzotti, Frank J.","contributorId":100018,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":896758,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251851,"text":"70251851 - 2024 - Characterizing vegetation and return periods in avalanche paths using lidar and aerial imagery","interactions":[],"lastModifiedDate":"2024-03-04T12:26:52.188745","indexId":"70251851","displayToPublicDate":"2024-03-01T06:18:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing vegetation and return periods in avalanche paths using lidar and aerial imagery","docAbstract":"<div class=\"hlFld-Abstract\"><p class=\"last\">Snow avalanches are a hazard and ecological disturbance across mountain landscapes worldwide. Understanding how avalanche frequency affects forests and vegetation improves infrastructure planning, risk management, and avalanche forecasting. We implemented a novel approach using lidar, aerial imagery, and a random forest model to classify imagery-observed vegetation within avalanche paths in southern Glacier National Park, Montana, USA. We calculated spatially explicit avalanche return periods using a physically based spatial interpolation method and characterized the vegetation within those return period zones. The automated vegetation classification model differed slightly between avalanche paths, but the combination of lidar and spectral signature metrics provided the best accuracy (88–92 percent) for predicting vegetation classes within complex avalanche terrain rather than lidar or spectral signature metrics alone. The highest frequency avalanche return periods were broadly characterized by grassland and shrubland, but the influence of topography greatly influences the vegetation classes as well as the return periods. Furthermore, statistically significant differences in lidar-derived vegetation canopy height exist between categorical return periods. The ability to characterize vegetation within various avalanche return periods using remote sensing data provides land use planners and avalanche forecasters a tool for assessing the spatial extent of large-magnitude avalanches in individual avalanche paths.</p></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/15230430.2024.2310333","usgsCitation":"Peitzsch, E.H., Martin-Mikle, C., Hendrikx, J., Birkeland, K.W., and Fagre, D.B., 2024, Characterizing vegetation and return periods in avalanche paths using lidar and aerial imagery: Arctic, Antarctic, and Alpine Research, v. 56, no. 1, 2310333 , 22 p., https://doi.org/10.1080/15230430.2024.2310333.","productDescription":"2310333 , 22 p.","ipdsId":"IP-151099","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":440266,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2024.2310333","text":"Publisher Index Page"},{"id":426234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.50274797252966,\n              48.93120603874098\n            ],\n            [\n              -114.50274797252966,\n              48.124341922190524\n            ],\n            [\n              -112.9978059504016,\n              48.124341922190524\n            ],\n            [\n              -112.9978059504016,\n              48.93120603874098\n            ],\n            [\n              -114.50274797252966,\n              48.93120603874098\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"56","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peitzsch, Erich H. 0000-0001-7624-0455","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":202576,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":895803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin-Mikle, Chelsea 0000-0001-5675-2728","orcid":"https://orcid.org/0000-0001-5675-2728","contributorId":334488,"corporation":false,"usgs":false,"family":"Martin-Mikle","given":"Chelsea","affiliations":[{"id":78718,"text":"formerly U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":895804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hendrikx, Jordy","contributorId":166967,"corporation":false,"usgs":false,"family":"Hendrikx","given":"Jordy","affiliations":[{"id":13628,"text":"Department of Earth Sciences, P.O. Box 173480, Montana State University, Bozeman, MT, USA. 59717.","active":true,"usgs":false}],"preferred":false,"id":895805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birkeland, Karl W.","contributorId":209943,"corporation":false,"usgs":false,"family":"Birkeland","given":"Karl","email":"","middleInitial":"W.","affiliations":[{"id":38033,"text":"U.S.D.A. Forest Service National Avalanche Center, Bozeman, Montana, USA","active":true,"usgs":false}],"preferred":false,"id":895806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fagre, Daniel B.","contributorId":334489,"corporation":false,"usgs":false,"family":"Fagre","given":"Daniel","email":"","middleInitial":"B.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":895807,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257383,"text":"70257383 - 2024 - The incredible HALK: borrowing data for age assignment","interactions":[],"lastModifiedDate":"2024-09-04T16:33:33.021566","indexId":"70257383","displayToPublicDate":"2024-03-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"The incredible HALK: borrowing data for age assignment","docAbstract":"<p><span>Understanding age and growth are important for fisheries science and management; however, age data are not routinely collected for many populations. We propose and test a method of borrowing age–length data across increasingly broader spatiotemporal levels to create a hierarchical age–length key (HALK). We assessed this method by comparing growth and mortality metrics to those estimated from lake–year age–length keys ages using seven common freshwater fish species across the upper Midwestern United States. Levels used for data borrowing began most specifically by borrowing within lake across time and increased in breadth to include data within the Hydrologic Unit Code (HUC) 10 watershed, HUC8 watershed, Level III Ecoregion, and finally a species-wide data ALK using all available data with our study for a species. Median deviation in mean length of age-3 fish was within 1 cm for the most specific HALK levels, and median deviation in total annual mortality was close to 0 for most species when borrowing occurred within HUC10 and HUC8 watersheds. Percent error in growth curves increased with data borrowing, but plateaued—or even decreased—for some species when data borrowing expanded across spatial levels. We present the HALK as a method for gaining age information about a fishery when age data are unavailable.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.11019","usgsCitation":"Frater, P.N., Feiner, Z.S., Hansen, G., Isermann, D.A., Latzka, A.W., and Jensen, O., 2024, The incredible HALK: borrowing data for age assignment: Fisheries Magazine, v. 49, no. 3, p. 117-128, https://doi.org/10.1002/fsh.11019.","productDescription":"12 p.","startPage":"117","endPage":"128","ipdsId":"IP-152013","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":440269,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fsh.11019","text":"Publisher Index Page"},{"id":433013,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Michigan, Minnesota, South Dakota, Wisconsin","otherGeospatial":"upper Midwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.34241140551524,\n              49.05094743128561\n            ],\n            [\n              -104.34241140551524,\n              38.11034629510851\n            ],\n            [\n              -84.84599091399372,\n              38.11034629510851\n            ],\n            [\n              -84.84599091399372,\n              49.05094743128561\n            ],\n            [\n              -104.34241140551524,\n              49.05094743128561\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Frater, Paul N.","contributorId":342573,"corporation":false,"usgs":false,"family":"Frater","given":"Paul","email":"","middleInitial":"N.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":910198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feiner, Zachary S.","contributorId":342575,"corporation":false,"usgs":false,"family":"Feiner","given":"Zachary","email":"","middleInitial":"S.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":910199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gretchen J.A.","contributorId":342577,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen J.A.","affiliations":[{"id":37643,"text":"University of Minnesota-Twin Cities","active":true,"usgs":false}],"preferred":false,"id":910200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Latzka, Alexander W.","contributorId":342581,"corporation":false,"usgs":false,"family":"Latzka","given":"Alexander","email":"","middleInitial":"W.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910202,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jensen, Olaf P.","contributorId":342584,"corporation":false,"usgs":false,"family":"Jensen","given":"Olaf P.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":910203,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70252068,"text":"70252068 - 2024 - Updated three-dimensional temperature maps for the Great Basin, USA","interactions":[],"lastModifiedDate":"2024-03-12T15:18:38.070643","indexId":"70252068","displayToPublicDate":"2024-02-29T10:14:02","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Updated three-dimensional temperature maps for the Great Basin, USA","docAbstract":"<p>As part of the periodic update of the geothermal energy assessments for the USA (e.g., last update by Williams and others, 2008), a new three-dimensional temperature map has been constructed for the Great Basin, USA. Williams and DeAngelo (2011) identified uncertainty in estimates of conductive heat flow near land surface as the largest contributor to uncertainty in previously published temperature maps. The new temperature maps incorporate new conductive heat flow estimates developed by DeAngelo and others (2023). Predicted temperatures at depth are compared with representative measurements (for conductively dominated conditions), showing good agreement under relatively simple uniform conditions. Inputs included radiogenic heat production for all layers of 1.89 μW/m<sup>3</sup>, effective bulk thermal conductivity of 2.7 W/m/°C for all rocks underlying sedimentary basins, and a previously published (Williams and DeAngelo, 2011) empirically driven estimate of increasing thermal conductivity with depth in sedimentary sequences. The resulting three-dimensional temperature model is published in a USGS data release associated with this manuscript (Burns and others, 2023).</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 49th workshop on geothermal reservoir engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"49th Workshop on Geothermal Reservoir Engineering","conferenceDate":"February 12-14, 2024","conferenceLocation":"Stanford, CA","language":"English","publisher":"Stanford Geothermal Workshop","usgsCitation":"Burns, E.R., DeAngelo, J., and Williams, C.F., 2024, Updated three-dimensional temperature maps for the Great Basin, USA, <i>in</i> Proceedings of the 49th workshop on geothermal reservoir engineering, Stanford, CA, February 12-14, 2024, 12 p.","productDescription":"12 p.","ipdsId":"IP-158036","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":426556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":426549,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/IGAstandard/record_detail.php?id=36304"}],"country":"United States","state":"Arizona, California, Idaho, Nevada, Oregon, Utah","otherGeospatial":"Great Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.1678252423948,\n              34.95930930933167\n            ],\n            [\n              -112.13481296270123,\n              36.38011070446173\n            ],\n            [\n              -110.41839315886372,\n              39.724144797392114\n            ],\n            [\n              -111.71560833919142,\n              41.53235529739101\n            ],\n            [\n              -111.42411871894447,\n              43.51066554918043\n            ],\n            [\n              -114.37594318706135,\n              43.98121176013663\n            ],\n            [\n              -116.31862299441079,\n              42.72836632941687\n            ],\n            [\n              -119.85738414099404,\n              43.39318722988335\n            ],\n            [\n              -121.46376336575122,\n              42.21714661857473\n            ],\n            [\n              -121.06118635706744,\n              39.6313773486587\n            ],\n            [\n              -118.96617577098581,\n              37.07912459245523\n            ],\n            [\n              -115.1678252423948,\n              34.95930930933167\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burns, Erick R. 0000-0002-1747-0506 eburns@usgs.gov","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":192154,"corporation":false,"usgs":true,"family":"Burns","given":"Erick","email":"eburns@usgs.gov","middleInitial":"R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelo, Jacob 0000-0002-7348-7839 jdeangelo@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-7839","contributorId":237879,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":896489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Colin F. 0000-0003-2196-5496 colin@usgs.gov","orcid":"https://orcid.org/0000-0003-2196-5496","contributorId":274,"corporation":false,"usgs":true,"family":"Williams","given":"Colin","email":"colin@usgs.gov","middleInitial":"F.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":896490,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252064,"text":"70252064 - 2024 - Sea turtle density surface models along the United States Atlantic coast","interactions":[],"lastModifiedDate":"2024-03-12T14:58:09.654368","indexId":"70252064","displayToPublicDate":"2024-02-29T09:38:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Sea turtle density surface models along the United States Atlantic coast","docAbstract":"<p><span>Spatially explicit estimates of marine species distribution and abundance are required to quantify potential impacts from human activities such as military training and testing, fisheries interactions, and offshore energy development. There are 4 protected species of sea turtle (loggerhead, green, Kemp’s ridley, and leatherback) commonly found along the east coast of the USA, our study area, and which require impact assessments. Data from 7 different survey organizations were used to create density surface models for the 4 sea turtle species utilizing 1.2 million km of line-transect surveys. A substantial portion (29.7%) of available sightings were not identified to the species level. Not including these sightings would underestimate density, so a conditional random forest model was used to assign unidentified sightings to species. Higher densities of loggerhead, green, and Kemp’s ridley sea turtles were predicted south of the Outer Banks in cool months, transitioning northwards in late spring to occupy seasonal neritic habitats. The highest leatherback densities were predicted off the coasts of Georgia and Florida. Leatherbacks were also predicted throughout offshore areas. The predicted distribution patterns generally matched satellite tracking and strandings data, indicating the models reproduced established seasonal movements. Surveys rarely detect sea turtles smaller than 40 cm, so these age classes are not represented. The models are the first for the study area to apply availability bias estimates developed in or near the study area and attempt to classify unidentified sightings to the species level, providing an updated, critical tool for conservation management along the eastern seaboard.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr01298","usgsCitation":"DiMatteo, A., Roberts, J.J., Jones-Farrand, D.T., Garrison, L., Hart, K., Kenney, R.D., McLellan, W.A., Lomac-MacNair, K., Palka, D., Rickard, M.E., Roberts, K., Zoidis, A.M., and Sparks, L., 2024, Sea turtle density surface models along the United States Atlantic coast: Endangered Species Research, v. 53, p. 227-245, https://doi.org/10.3354/esr01298.","productDescription":"19 p.","startPage":"227","endPage":"245","ipdsId":"IP-154482","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":440271,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01298","text":"Publisher Index Page"},{"id":426553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Florida, Georgia, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, North Carolina, Rhode Island, South Carolina, Virginia","otherGeospatial":"Atlantic Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -57.93627018077767,\n              46.35190712057363\n            ],\n            [\n              -63.06317767562888,\n              48.071961216623635\n            ],\n            [\n              -71.30344277897166,\n              43.13946856546261\n            ],\n            [\n              -71.80832999327407,\n              41.862600860703395\n            ],\n            [\n              -74.50295610940375,\n              40.814804466010116\n            ],\n            [\n              -76.87672546434797,\n              39.666220426927055\n            ],\n            [\n              -77.10004487486839,\n              35.93970224582324\n            ],\n            [\n              -81.71588138883396,\n              31.544829146262018\n            ],\n            [\n              -80.60117913786426,\n              26.310207631307307\n            ],\n            [\n              -81.06912455364952,\n              25.83857941124684\n            ],\n            [\n              -82.70465928026937,\n              29.11226261565656\n            ],\n            [\n              -83.63137912414963,\n              30.41405891714605\n            ],\n            [\n              -87.16972564675274,\n              30.306755223785572\n            ],\n            [\n              -83.87424700132446,\n              27.063066500883522\n            ],\n            [\n              -82.83132577671518,\n              23.770525785543356\n            ],\n            [\n              -80.574320123905,\n              24.06588592956416\n            ],\n            [\n              -79.30071206924853,\n              26.25623333516093\n            ],\n            [\n              -79.48694740536136,\n              31.343635783809773\n            ],\n            [\n              -74.30210816483918,\n              34.877155333197436\n            ],\n            [\n              -57.93627018077767,\n              46.35190712057363\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"53","noUsgsAuthors":false,"publicationDate":"2024-02-29","publicationStatus":"PW","contributors":{"authors":[{"text":"DiMatteo, Andrew","contributorId":334722,"corporation":false,"usgs":false,"family":"DiMatteo","given":"Andrew","email":"","affiliations":[{"id":80216,"text":"McLaughlin Research Corporation","active":true,"usgs":false}],"preferred":false,"id":896411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Jason J.","contributorId":334723,"corporation":false,"usgs":false,"family":"Roberts","given":"Jason","email":"","middleInitial":"J.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":896412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones-Farrand, D. Todd","contributorId":217894,"corporation":false,"usgs":false,"family":"Jones-Farrand","given":"D.","email":"","middleInitial":"Todd","affiliations":[{"id":39711,"text":"Gulf-Coastal Plains and Ozarks Landscape Conservation Cooperative, U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":896413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garrison, Lance","contributorId":244391,"corporation":false,"usgs":false,"family":"Garrison","given":"Lance","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":896414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":896415,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kenney, Robert D.","contributorId":334724,"corporation":false,"usgs":false,"family":"Kenney","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":896416,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McLellan, William A.","contributorId":334725,"corporation":false,"usgs":false,"family":"McLellan","given":"William","email":"","middleInitial":"A.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":896417,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lomac-MacNair, Kate","contributorId":334726,"corporation":false,"usgs":false,"family":"Lomac-MacNair","given":"Kate","email":"","affiliations":[{"id":80218,"text":"Tetra Tech and Cetos Research Organization","active":true,"usgs":false}],"preferred":false,"id":896418,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Palka, Debra","contributorId":334727,"corporation":false,"usgs":false,"family":"Palka","given":"Debra","email":"","affiliations":[{"id":80220,"text":"National Marine Fisheries Service, Northeast Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":896419,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rickard, Meghan E.","contributorId":334728,"corporation":false,"usgs":false,"family":"Rickard","given":"Meghan","email":"","middleInitial":"E.","affiliations":[{"id":80221,"text":"New York Natural Heritage Program, College of Environmental Science and Forestry, State University of New York","active":true,"usgs":false}],"preferred":false,"id":896420,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Roberts, Kelsey E. 0000-0001-8422-632X","orcid":"https://orcid.org/0000-0001-8422-632X","contributorId":176734,"corporation":false,"usgs":false,"family":"Roberts","given":"Kelsey E.","affiliations":[],"preferred":false,"id":896421,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zoidis, Ann M.","contributorId":334729,"corporation":false,"usgs":false,"family":"Zoidis","given":"Ann","email":"","middleInitial":"M.","affiliations":[{"id":80218,"text":"Tetra Tech and Cetos Research Organization","active":true,"usgs":false}],"preferred":false,"id":896422,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sparks, L.","contributorId":334730,"corporation":false,"usgs":false,"family":"Sparks","given":"L.","email":"","affiliations":[{"id":65980,"text":"Naval Undersea Warfare Center","active":true,"usgs":false}],"preferred":false,"id":896423,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
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