{"pageNumber":"38","pageRowStart":"925","pageSize":"25","recordCount":10449,"records":[{"id":70236810,"text":"70236810 - 2022 - Potential health effects of contaminant mixtures from point and nonpoint sources on fish and frogs in the New Jersey Pinelands","interactions":[],"lastModifiedDate":"2022-09-20T11:01:50.822378","indexId":"70236810","displayToPublicDate":"2022-09-19T10:34:03","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Potential health effects of contaminant mixtures from point and nonpoint sources on fish and frogs in the New Jersey Pinelands","docAbstract":"Aquatic ecosystems convey complex contaminant mixtures from anthropogenic pollution on a global scale. Point (e.g., municipal wastewater) and nonpoint sources (e.g., stormwater runoff) are both drivers of contaminant mixtures in aquatic habitats. The objectives of this study were to identify the contaminant mixtures present in surface waters impacted by both point and nonpoint sources, to determine if aquatic biota (amphibian and fish) health effects (testicular oocytes and parasites) occurred at these sites, and to understand if differences in biological and chemical measures existed between point (on-stream) and nonpoint sources (off-stream). To accomplish this, water chemistry, fishes, and frogs were collected from 21 sites in the New Jersey Pinelands, United States. Off-stream sites consisted of 3 reference and 10 degraded wetlands. On-stream sites consisted of two reference lakes and six degraded steams/lakes (four sites above and two sites below wastewater outfalls). Surface water was collected 4 times at each site and analyzed for 133 organic and inorganic contaminants. One native and five non-native fish species were collected from streams/lakes and native green frogs from wetlands (ponds and stormwater basins). Limited differences in contaminant concentrations were observed in reference and degraded wetlands but for streams/lakes, results indicated that landscape alteration, (upland agricultural and developed land) was the primary driver of contaminant concentrations rather than municipal wastewater. Incidence of estrogenic endocrine disruption (intersex) was species dependent with the highest prevalence observed in largemouth bass and black crappie and the lowest prevalence observed in green frogs and tessellated darters. Parasite prevalence was site and species dependent. Prevalence of eye parasites increased with increasing concentrations of industrial, mycotoxin, and cumulative inorganic contaminants. These findings are critical to support the conservation, protection, and management of a wide range of aquatic species in the Pinelands and elsewhere as habitat loss, alteration, and fragmentation increase with increasing development.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.158205","usgsCitation":"Breitmeyer, S.E., Walsh, H.L., Blazer, V., Bunnell, J.F., Burritt, P.M., Dragon, J., Hladik, M.L., Bradley, P., Romanok, K., and Smalling, K., 2022, Potential health effects of contaminant mixtures from point and nonpoint sources on fish and frogs in the New Jersey Pinelands: Science of the Total Environment, v. 851, no. 1, 158205, 12 p., https://doi.org/10.1016/j.scitotenv.2022.158205.","productDescription":"158205, 12 p.","ipdsId":"IP-139853","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":488107,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2022.158205","text":"Publisher Index Page"},{"id":406972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"New Jersey Pinelands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.77294921875,\n              39.46164364205549\n            ],\n            [\n              -73.90502929687499,\n              39.46164364205549\n            ],\n            [\n              -73.90502929687499,\n              40.49291502689579\n            ],\n            [\n              -74.77294921875,\n              40.49291502689579\n            ],\n            [\n              -74.77294921875,\n              39.46164364205549\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"851","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Breitmeyer, Sara E. 0000-0003-0609-1559 sbreitmeyer@usgs.gov","orcid":"https://orcid.org/0000-0003-0609-1559","contributorId":172622,"corporation":false,"usgs":true,"family":"Breitmeyer","given":"Sara","email":"sbreitmeyer@usgs.gov","middleInitial":"E.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":852229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":852230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":852231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunnell, John F.","contributorId":204697,"corporation":false,"usgs":false,"family":"Bunnell","given":"John","email":"","middleInitial":"F.","affiliations":[{"id":36975,"text":"NJ Pinelands Commission","active":true,"usgs":false}],"preferred":false,"id":852232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burritt, Patrick M.","contributorId":296366,"corporation":false,"usgs":false,"family":"Burritt","given":"Patrick","email":"","middleInitial":"M.","affiliations":[{"id":54857,"text":"New Jersey Pinelands Commission","active":true,"usgs":false}],"preferred":false,"id":852233,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dragon, Jeff","contributorId":296368,"corporation":false,"usgs":false,"family":"Dragon","given":"Jeff","affiliations":[{"id":54857,"text":"New Jersey Pinelands Commission","active":true,"usgs":false}],"preferred":false,"id":852234,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221087,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":852235,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradley, Paul M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":221226,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul M.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":852236,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Romanok, Kristin M. 0000-0002-8472-8765","orcid":"https://orcid.org/0000-0002-8472-8765","contributorId":221227,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":852237,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":852238,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70259939,"text":"70259939 - 2022 - Eruptive history of Mason Spur, a Miocene—Pleistocene polygenetic volcanic complex in southern Victoria Land, West Antarctic Rift System, Antarctica","interactions":[],"lastModifiedDate":"2024-10-28T11:21:11.750474","indexId":"70259939","displayToPublicDate":"2022-09-19T06:19:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Eruptive history of Mason Spur, a Miocene—Pleistocene polygenetic volcanic complex in southern Victoria Land, West Antarctic Rift System, Antarctica","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Mason Spur is a deeply eroded Middle Miocene to Pleistocene (c. 13 to 0.37&nbsp;Ma) volcanic complex in southern Victoria Land, within the West Antarctic Rift System (WARS). The oldest rocks include a large volume of trachyte ignimbrites that provided abundant volcanic detritus recovered in McMurdo Sound drill cores. The ignimbrites together with early-formed intrusions were strongly deformed during a substantial caldera collapse at c. 13&nbsp;Ma. Intense erosion modified the volcanic landscape, creating a paleo-relief of several hundred metres. Deep ravines were cut and filled by deposits of multiple lahars probably linked to gravitational collapses of trachyte dome(s). Small-volume trachytic magmas were also erupted, forming lavas and at least one tuff cone. The youngest trachytic activity comprises a lava dome and related block-and-ash-flow deposits, erupted at 6&nbsp;Ma. Basanite erupted throughout the history of the complex and eruptions younger than 12&nbsp;Ma are almost exclusively basanite, forming scoria cones, water-cooled lavas, and tuff cones. Three peripheral outcrops are composed of basanitic ‘a‘ā lava-fed deltas, probably erupted from vents on neighbouring volcanoes at Mount Discovery and Mount Morning. Abundant ignimbrite deposits at Mason Spur differentiate this volcanic complex from others in the WARS. Eruptions were triggered by rift extension initially, yielding the voluminous trachytes sourced from a magma chamber on the margin of the WARS. Later mafic eruptions were associated with deep crustal faults related to residual intraplate deformation. These results add important details to the eruptive history of the intracontinental WARS.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00445-022-01601-4","usgsCitation":"Smellie, J.L., Di Vincenzo, G., Townsend, D.B., Heizler, M.T., and Ruth, D.C., 2022, Eruptive history of Mason Spur, a Miocene—Pleistocene polygenetic volcanic complex in southern Victoria Land, West Antarctic Rift System, Antarctica: Bulletin of Volcanology, v. 84, 93, 29 p., https://doi.org/10.1007/s00445-022-01601-4.","productDescription":"93, 29 p.","ipdsId":"IP-138505","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467163,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-022-01601-4","text":"Publisher Index Page"},{"id":463230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica","volume":"84","noUsgsAuthors":false,"publicationDate":"2022-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Smellie, John L.","contributorId":140375,"corporation":false,"usgs":false,"family":"Smellie","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":916896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Di Vincenzo, Gianfranco","contributorId":345554,"corporation":false,"usgs":false,"family":"Di Vincenzo","given":"Gianfranco","email":"","affiliations":[{"id":82626,"text":"Istituto di Geoscienze e Georisorse","active":true,"usgs":false}],"preferred":false,"id":916897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Townsend, Dougal B.","contributorId":345555,"corporation":false,"usgs":false,"family":"Townsend","given":"Dougal","email":"","middleInitial":"B.","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":916898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heizler, Matthew T.","contributorId":184261,"corporation":false,"usgs":false,"family":"Heizler","given":"Matthew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":916899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruth, Dawn Catherine Sweeney 0000-0001-9369-9364","orcid":"https://orcid.org/0000-0001-9369-9364","contributorId":334908,"corporation":false,"usgs":true,"family":"Ruth","given":"Dawn","email":"","middleInitial":"Catherine Sweeney","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":916900,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236831,"text":"70236831 - 2022 - You vs. us: Framing adaptation behavior in terms of private or social benefits","interactions":[],"lastModifiedDate":"2022-09-20T12:13:12.624844","indexId":"70236831","displayToPublicDate":"2022-09-16T07:10:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"You vs. us: Framing adaptation behavior in terms of private or social benefits","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Private actions to mitigate and adapt to climate change may have benefits to both the individual and society. In some cases, an individual may be motivated by appeals that highlight benefits to others, rather than to oneself. We test whether such prosocial framing influences information-seeking behavior to address wildfire risk among homeowners. In a field experiment across ten communities in western Colorado, property owners (<i>n</i> = 2977) received a postcard from their local fire department highlighting the impact of risk mitigation to either “your property” (<i>private benefits</i>) or “our community” (<i>social benefits</i>). The postcard directed recipients to visit a personalized webpage on wildfire risk. Overall, 10.5% of property owners visited their personalized risk webpage. There was little difference in webpage visitation between those who received the social (11.3%) rather than the private (9.7%) benefits message (<i>χ</i><sup>2</sup> = 1.74,<span>&nbsp;</span><i>p</i> = 0.19). However, response may depend on a property owner’s relationship to the community. Those who reside within the community (as opposed to out-of-town owners) or who were in an evacuation zone during a recent wildfire were more likely to visit their webpages after receiving the social benefits message. How homeowners view their contributions to shared risk and whether simple changes in messaging influence prosocial behavior can inform efforts to address climate-exacerbated hazards.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10584-022-03400-4","usgsCitation":"Flint, H.B., Cada, P., Champ, P.A., Gomez, J., Margoles, D., Meldrum, J., and Brenkert-Smith, H., 2022, You vs. us: Framing adaptation behavior in terms of private or social benefits: Climatic Change, v. 174, 11, 17 p., https://doi.org/10.1007/s10584-022-03400-4.","productDescription":"11, 17 p.","ipdsId":"IP-134384","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":446418,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-022-03400-4","text":"Publisher Index Page"},{"id":407049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"174","noUsgsAuthors":false,"publicationDate":"2022-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Flint, Hilary Byerly","contributorId":296733,"corporation":false,"usgs":false,"family":"Flint","given":"Hilary","email":"","middleInitial":"Byerly","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":852310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cada, Paul","contributorId":296736,"corporation":false,"usgs":false,"family":"Cada","given":"Paul","email":"","affiliations":[{"id":64155,"text":"Vail Fire and Emergency Services","active":true,"usgs":false}],"preferred":false,"id":852311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Champ, Patricia A.","contributorId":195486,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":852312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gomez, Jamie","contributorId":218078,"corporation":false,"usgs":false,"family":"Gomez","given":"Jamie","email":"","affiliations":[{"id":38125,"text":"West Region Wildfire Council","active":true,"usgs":false}],"preferred":false,"id":852313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Margoles, Danny","contributorId":296737,"corporation":false,"usgs":false,"family":"Margoles","given":"Danny","email":"","affiliations":[{"id":64158,"text":"Dolores Watershed Resilience Forest Collaborative","active":true,"usgs":false}],"preferred":false,"id":852314,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":852315,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":852316,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70236690,"text":"70236690 - 2022 - Development of the LCMAP annual land cover product across Hawai'i","interactions":[],"lastModifiedDate":"2023-11-08T16:45:41.692299","indexId":"70236690","displayToPublicDate":"2022-09-14T09:22:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"Development of the LCMAP annual land cover product across Hawai'i","docAbstract":"<p><span>Following the completion of land cover and change (LCC) products for the conterminous United States (CONUS), the&nbsp;U.S.&nbsp;Geological Survey's (USGS’s) Land Change Monitoring, Assessment, and Projection initiative has broadened the capability of characterizing continuous historical land change across the full&nbsp;Landsat&nbsp;records for Hawaiʻi at 30-meter resolution. One of the challenges of implementing the LCMAP framework to process annual land cover maps in Hawaiʻi is to collect sufficient high-quality training data. Although multiple datasets depicting land cover information are available in Hawaiʻi, they covered limited time frames and were produced from various&nbsp;remote sensing&nbsp;sources with different, classification categories, spatial resolution, and mapping accuracies. No solo product is suitable to provide LCMAP training data labels on its own. In this paper, we focused on enhancing the LCMAP training datasets to generate land cover products from 2000 to 2019 in Hawaiʻi. A total of 200 independent reference data plots were generated and manually interpreted for validating the mapping results produced by the training datasets. The results revealed that using the appropriate filter of multiple products as training data pools improved the classification model performance. The effect of training datasets (e.g., spatial coverage, quality) on accuracies for different land cover types were summarized. The LCMAP land surface change products for Hawaiʻi are available at</span><span>&nbsp;</span><a rel=\"noreferrer noopener\" href=\"https://doi.org/10.5066/P91E8M23\" target=\"_blank\" data-mce-href=\"https://doi.org/10.5066/P91E8M23\">https://doi.org/10.5066/P91E8M23</a><span>.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2022.103015","usgsCitation":"Li, C., Xian, G.Z., Wellington, D., Smith, K., Horton, J., and Zhou, Q., 2022, Development of the LCMAP annual land cover product across Hawai'i: International Journal of Applied Earth Observation and Geoinformation, v. 113, 103015, 17 p., https://doi.org/10.1016/j.jag.2022.103015.","productDescription":"103015, 17 p.","ipdsId":"IP-144117","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":446437,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jag.2022.103015","text":"Publisher Index Page"},{"id":406839,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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0000-0002-2130-0075","orcid":"https://orcid.org/0000-0002-2130-0075","contributorId":237074,"corporation":false,"usgs":false,"family":"Wellington","given":"Danika F.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":851903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Kelcy 0000-0001-6811-1485","orcid":"https://orcid.org/0000-0001-6811-1485","contributorId":272037,"corporation":false,"usgs":false,"family":"Smith","given":"Kelcy","affiliations":[{"id":56338,"text":"KBR, Inc., Contractor under USGS","active":true,"usgs":false}],"preferred":false,"id":851904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horton, Josephine 0000-0001-8436-4095","orcid":"https://orcid.org/0000-0001-8436-4095","contributorId":191430,"corporation":false,"usgs":false,"family":"Horton","given":"Josephine","affiliations":[],"preferred":false,"id":851905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhou, Qiang 0000-0002-1282-8177","orcid":"https://orcid.org/0000-0002-1282-8177","contributorId":265886,"corporation":false,"usgs":false,"family":"Zhou","given":"Qiang","affiliations":[{"id":54817,"text":"AFDS, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":851906,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70262271,"text":"70262271 - 2022 - Variability in prion protein genotypes by spatial unit to inform susceptibility to chronic wasting disease","interactions":[],"lastModifiedDate":"2025-01-17T16:59:22.064272","indexId":"70262271","displayToPublicDate":"2022-09-14T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3121,"text":"Prion","onlineIssn":"1933-690X","printIssn":"1933-6896","active":true,"publicationSubtype":{"id":10}},"title":"Variability in prion protein genotypes by spatial unit to inform susceptibility to chronic wasting disease","docAbstract":"<p><span>Chronic wasting disease (CWD) is a fatal encephalopathy affecting North American cervids. Certain alleles in a host’s prion protein gene are responsible for reduced susceptibility to CWD. We assessed for the first time variability in the prion protein gene of elk (</span><i>Cervus canadensis</i><span>) present in Pennsylvania, United States of America, a reintroduced population for which CWD cases have never been reported. We sequenced the prion protein gene (PRNP) of 565 elk samples collected over 7 years (2014–2020) and found two polymorphic sites (codon 21 and codon 132). The allele associated with reduced susceptibility to CWD is present in the population, and there was no evidence of deviations from Hardy-Weinberg equilibrium in any of our sampling years (</span><i>p</i><span>-values between 0.14 and 1), consistent with the lack of selective pressure on the PRNP. The less susceptible genotypes were found in a frequency similar to the ones reported for elk populations in the states of Wyoming and South Dakota before CWD was detected. We calculated the proportion of less susceptible genotypes in each hunt zone in Pennsylvania as a proxy for their vulnerability to the establishment of CWD, and interpolated these results to obtain a surface representing expected proportion of the less susceptible genotypes across the area. Based on this analysis, hunt zones located in the southern part of our study area have a low proportion of less susceptible genotypes, which is discouraging for elk persistence in Pennsylvania given that these hunt zones are adjacent to the deer Disease Management Area 3, where CWD has been present since 2014.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19336896.2022.2117535","usgsCitation":"Fameli, A., Edson, J., Banfield, J., Rosenberry, C., and Walter, W., 2022, Variability in prion protein genotypes by spatial unit to inform susceptibility to chronic wasting disease: Prion, v. 16, no. 1, p. 254-264, https://doi.org/10.1080/19336896.2022.2117535.","productDescription":"11 p.","startPage":"254","endPage":"264","ipdsId":"IP-138972","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481075,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19336896.2022.2117535","text":"Publisher Index Page"},{"id":480752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Commission","active":true,"usgs":false}],"preferred":false,"id":923710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Christopher S.","contributorId":348713,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher S.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":923711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923712,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70238605,"text":"70238605 - 2022 - New strategies for characterizing genetic structure in wide-ranging, continuously distributed species: a Greater Sage-grouse case study","interactions":[],"lastModifiedDate":"2022-12-01T14:19:33.256535","indexId":"70238605","displayToPublicDate":"2022-09-13T08:11:15","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"New strategies for characterizing genetic structure in wide-ranging, continuously distributed species: a Greater Sage-grouse case study","docAbstract":"<p><span>Characterizing genetic structure across a species’ range is relevant for management and conservation as it can be used to define population boundaries and quantify connectivity. Wide-ranging species residing in continuously distributed habitat pose substantial challenges for the characterization of genetic structure as many analytical methods used are less effective when isolation by distance is an underlying biological pattern. Here, we illustrate strategies for overcoming these challenges using a species of significant conservation concern, the Greater Sage-grouse (</span><i>Centrocercus urophasianus</i><span>), providing a new method to identify centers of genetic differentiation and combining multiple methods to help inform management and conservation strategies for this and other such species. Our objectives were to (1) describe large-scale patterns of population genetic structure and gene flow and (2) to characterize genetic subpopulation centers across the range of Greater Sage-grouse. Samples from 2,134 individuals were genotyped at 15 microsatellite loci. Using standard STRUCTURE and spatial principal components analyses, we found evidence for four or six areas of large-scale genetic differentiation and, following our novel method, 12 subpopulation centers of differentiation. Gene flow was greater, and differentiation reduced in areas of contiguous habitat (eastern Montana, most of Wyoming, much of Oregon, Nevada, and parts of Idaho). As expected, areas of fragmented habitat such as in Utah (with 6 subpopulation centers) exhibited the greatest genetic differentiation and lowest effective migration. The subpopulation centers defined here could be monitored to maintain genetic diversity and connectivity with other subpopulation centers. Many areas outside subpopulation centers are contact zones where different genetic groups converge and could be priorities for maintaining overall connectivity. Our novel method and process of leveraging multiple different analyses to find common genetic patterns provides a path forward to characterizing genetic structure in wide-ranging, continuously distributed species.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0274189","usgsCitation":"Oyler-McCance, S.J., Cross, T.B., Row, J.R., Schwartz, M.K., Naugle, D.E., Fike, J., Winiarski, K.J., and Fedy, B.C., 2022, New strategies for characterizing genetic structure in wide-ranging, continuously distributed species: a Greater Sage-grouse case study: PLoS ONE, v. 17, no. 9, e0274189, 22 p., https://doi.org/10.1371/journal.pone.0274189.","productDescription":"e0274189, 22 p.","ipdsId":"IP-133504","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":446443,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0274189","text":"Publisher Index Page"},{"id":435692,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P954SEUC","text":"USGS data release","linkHelpText":"Microsatellite data, boundaries of subpopulation centers, and estimated effective migration for greater sage-grouse collected in western North America between 1992 and 2015 (ver. 2.0, December 2022)"},{"id":409920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"California, Colorado, Idaho, Montana, Nevada, North Dakota, Oregon, Saskatchewan, South Dakota, Utah, Washington, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.85817049594968,\n              48.944211671554484\n            ],\n            [\n              -121.91877250397434,\n       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         45.59459839012774\n            ],\n            [\n              -117.08225627359687,\n              46.36245373937288\n            ],\n            [\n              -117.06828768300198,\n              49.016250130718106\n            ],\n            [\n              -121.85817049594968,\n              48.944211671554484\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":858073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Todd B.","contributorId":189267,"corporation":false,"usgs":false,"family":"Cross","given":"Todd","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":858074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Row, Jeffery R.","contributorId":191345,"corporation":false,"usgs":false,"family":"Row","given":"Jeffery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":858075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwartz, Michael K.","contributorId":199035,"corporation":false,"usgs":false,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":858076,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naugle, Dave E.","contributorId":207278,"corporation":false,"usgs":false,"family":"Naugle","given":"Dave","email":"","middleInitial":"E.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":858077,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":858078,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winiarski, Kristopher J.","contributorId":146615,"corporation":false,"usgs":false,"family":"Winiarski","given":"Kristopher","email":"","middleInitial":"J.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":858079,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fedy, Brad C.","contributorId":140877,"corporation":false,"usgs":false,"family":"Fedy","given":"Brad","email":"","middleInitial":"C.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":858080,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70236590,"text":"70236590 - 2022 - Climate change weakens the impact of disturbance interval on the growth rate of natural populations of Venus flytrap","interactions":[],"lastModifiedDate":"2022-11-16T17:05:26.495283","indexId":"70236590","displayToPublicDate":"2022-09-12T08:18:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Climate change weakens the impact of disturbance interval on the growth rate of natural populations of Venus flytrap","docAbstract":"<p>Disturbances elicit both positive and negative effects on organisms; these effects vary in their strength and their timing. Effects of disturbance interval (i.e., the length of time between disturbances) on population growth will depend on both the timing and strength of positive and negative effects of disturbances. Climate change can modify the relative strengths of these positive and negative effects, leading to altered optimal disturbance intervals (the disturbance interval at which population growth rate is highest) and changes in the sensitivity of population growth rate to disturbance interval. While we know that climate may alter impacts of disturbance in some systems, we have a poor understanding of which effects of disturbance and which vital rates might drive an altered response to disturbance interval in a changing climate. We use demographic monitoring of natural populations of<span>&nbsp;</span><i>Dionaea muscipula</i>, the Venus flytrap, that have experienced natural and managed fires, combined with realistic past and future climate projections, to construct climate- and fire-driven integral projection models (IPMs). We use these IPMs to compare the effect of fire return interval (FRI) on population growth rate in past and future climates. To dissect the mechanisms driving FRI response, we then construct IPMs with demographic data from an experimental manipulation of fire effects (ash addition, neighbor removal) and an accidental fire. Our results show that an FRI of 10 years is optimal for<span>&nbsp;</span><i>D. muscipula</i><span>&nbsp;</span>in past climate conditions, but a longer FRI (12 years) is optimal in future climate conditions. Further, deviations from optimal FRI reduce population growth rate dramatically in the past climate, but this reduction is muted in a future climate (future minus past sensitivity = 0.006, 95% CI [0.002, 0.011]). Finally, our experimental work suggests that fire effects are driven in part by positive, additive effects of competitor removal and ash addition immediately following a fire; for one population, both these treatments significantly increased population growth rate. Our work suggests that climate change can alter the response of populations to disturbance, highlighting the need to consider the interacting effects of multiple abiotic drivers when projecting future population growth and geographical distributions.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ecm.1528","usgsCitation":"Louthan, A.M., Keighron, M., Kiekebusch, E., Cayton, H., Terando, A., and Morris, W., 2022, Climate change weakens the impact of disturbance interval on the growth rate of natural populations of Venus flytrap: Ecological Monographs, v. 92, e1528, 18 p., https://doi.org/10.1002/ecm.1528.","productDescription":"e1528, 18 p.","ipdsId":"IP-114086","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":446451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecm.1528","text":"Publisher Index Page"},{"id":406517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.310791015625,\n              34.59478059328729\n            ],\n            [\n              -76.7230224609375,\n              34.59478059328729\n            ],\n            [\n              -76.7230224609375,\n              35.018750379438295\n            ],\n            [\n              -77.310791015625,\n              35.018750379438295\n            ],\n            [\n              -77.310791015625,\n              34.59478059328729\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.28970336914062,\n              35.04011643687423\n            ],\n            [\n              -78.8818359375,\n              35.04011643687423\n            ],\n            [\n              -78.8818359375,\n              35.3308118573182\n            ],\n            [\n              -79.28970336914062,\n              35.3308118573182\n            ],\n            [\n              -79.28970336914062,\n              35.04011643687423\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"92","noUsgsAuthors":false,"publicationDate":"2022-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Louthan, Allison M","contributorId":266009,"corporation":false,"usgs":false,"family":"Louthan","given":"Allison","email":"","middleInitial":"M","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":851461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keighron, Melina","contributorId":296421,"corporation":false,"usgs":false,"family":"Keighron","given":"Melina","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":851462,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kiekebusch, Elsita","contributorId":257676,"corporation":false,"usgs":false,"family":"Kiekebusch","given":"Elsita","email":"","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":851463,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cayton, Heather","contributorId":229344,"corporation":false,"usgs":false,"family":"Cayton","given":"Heather","email":"","affiliations":[{"id":41625,"text":"Kellogg Biological Station and Department of Integrative Biology, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":851464,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Terando, Adam J. 0000-0002-9280-043X","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":216875,"corporation":false,"usgs":true,"family":"Terando","given":"Adam J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":851465,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morris, William F.","contributorId":266011,"corporation":false,"usgs":false,"family":"Morris","given":"William F.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":851466,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70241526,"text":"70241526 - 2022 - Forecasting explosions at Sinabung Volcano, Indonesia, based on SO2 emission rates","interactions":[],"lastModifiedDate":"2023-03-22T11:53:19.487909","indexId":"70241526","displayToPublicDate":"2022-09-12T06:51:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting explosions at Sinabung Volcano, Indonesia, based on SO2 emission rates","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb15\">Dome-building volcanic eruptions are often associated with frequent Vulcanian explosions, which constitute a substantial threat to proximal communities. One proposed mechanism driving such explosions is the sealing of the shallow volcanic system followed by pressurization due to gas accumulation beneath the seal. We investigate this hypothesis at Sinabung Volcano (Sumatra, Indonesia), which has been in a state of eruption since August 2010. In 2013, the volcano began erupting a lava dome and lava flow, and frequent explosions produced eruptive columns that rose many kilometers into the atmosphere and at times sent pyroclastic density currents down the southeast flanks. A network of scanning Differential Optical Absorption Spectrometers (DOAS) was installed on the volcano’s eastern flank in 2016 to continuously monitor SO<sub>2</sub><span>&nbsp;</span>emission rates during daytime hours. Analysis of the DOAS data from October 2016 to September 2017 revealed that passive SO<sub>2</sub><span>&nbsp;</span>emissions were generally lower in the 5&nbsp;days leading up to explosive events (∼100&nbsp;t/d) than was common in 5-day periods leading up to days on which no explosions occurred (∼200&nbsp;t/d). The variability of passive SO<sub>2</sub><span>&nbsp;</span>emissions, expressed as the standard deviation, also took on a slightly wider range of values before days with explosions (0–103&nbsp;t/d at 1-sigma) than before days without explosions (43–117&nbsp;t/d). These observations are consistent with the aforementioned seal-failure model, where the sealing of the volcanic conduit blocks gas emissions and leads to pressurization and potential Vulcanian explosions. We develop a forecasting methodology that allows calculation of a relative daily explosion probability based solely on measurements of the SO<sub>2</sub><span>&nbsp;</span>emission rate in the preceding days. We then calculate forecast explosion probabilities for the remaining SO<sub>2</sub><span>&nbsp;</span>emissions dataset (October 2017—September 2021). While the absolute accuracy of forecast explosion probabilities is variable, the method can inform the probability of an explosion occurring relative to that on other days in each test period. This information can be used operationally by volcano observatories to assess relative risk. The SO<sub>2</sub><span>&nbsp;</span>emissions-based forecasting method is likely applicable to other open vent volcanoes experiencing dome-forming eruptions.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2022.976928","usgsCitation":"Kunrat, S., Kern, C., Alfianti, H., and Lerner, A., 2022, Forecasting explosions at Sinabung Volcano, Indonesia, based on SO2 emission rates: Frontiers in Earth Science, v. 10, 976928, 15 p., https://doi.org/10.3389/feart.2022.976928.","productDescription":"976928, 15 p.","ipdsId":"IP-143352","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":446465,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2022.976928","text":"Publisher Index Page"},{"id":414539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2022-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Kunrat, Syegi","contributorId":205266,"corporation":false,"usgs":false,"family":"Kunrat","given":"Syegi","email":"","affiliations":[{"id":37069,"text":"CVGHM, Portland State University","active":true,"usgs":false}],"preferred":false,"id":867116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":867117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alfianti, Hilma","contributorId":205267,"corporation":false,"usgs":false,"family":"Alfianti","given":"Hilma","email":"","affiliations":[{"id":37068,"text":"CVGHM","active":true,"usgs":false}],"preferred":false,"id":867118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lerner, Allan 0000-0001-7208-1493","orcid":"https://orcid.org/0000-0001-7208-1493","contributorId":229362,"corporation":false,"usgs":true,"family":"Lerner","given":"Allan","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":867119,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70237701,"text":"70237701 - 2022 - Hepatic gene expression profiling of American kestrels (Falco sparverius) exposed in ovo to three alternative brominated flame retardants","interactions":[],"lastModifiedDate":"2022-10-19T11:41:11.336979","indexId":"70237701","displayToPublicDate":"2022-09-12T06:38:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1026,"text":"Biology","active":true,"publicationSubtype":{"id":10}},"title":"Hepatic gene expression profiling of American kestrels (Falco sparverius) exposed in ovo to three alternative brominated flame retardants","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">A number of brominated flame retardants (BFRs) have been reported to interfere with the thyroid signaling pathway and cause oxidative stress in birds, yet the underlying shifts in gene expression associated with these effects remain poorly understood. In this study, we measured hepatic transcriptional responses of 31 genes in American kestrel (<span class=\"html-italic\">Falco sparverius</span>) hatchlings following in ovo exposure to one of three high-volume alternative BFRs: 1,2-bis(2,4,6-tribromophenoxy) ethane (BTPBE), bis(2-ethylhexyl)-2,3,4,5-tetrabromophthalate (TBPH), or 2-ethylhexyl-2,3,4,5-tetrabromobenzoate (EHTBB). Hatchling kestrels exhibited shifts in the expression of genes related to oxidative stress (<span class=\"html-italic\">CYP, GSTA, SOD,</span><span>&nbsp;</span>and<span>&nbsp;</span><span class=\"html-italic\">GPX1</span>), thyroid hormone metabolism and transport (<span class=\"html-italic\">DIO1, DIO2</span>, and<span>&nbsp;</span><span class=\"html-italic\">TTR</span>), lipid and protein metabolism (PPAR, HMGCR, FAB1, and LPL), and cytokine-mediated inflammation (<span class=\"html-italic\">TLR3, IL18, IRF7, STAT3, RACK1,</span><span>&nbsp;</span>and<span>&nbsp;</span><span class=\"html-italic\">CEBPB</span>). Male and female hatchlings differed in which genes were differentially expressed, as well as the direction of the effect (up- vs. downregulation). These results build upon our previous findings of increased oxidative stress and disrupted thyroid signaling pathway in the same hatchlings. Furthermore, our results indicate that inflammatory responses appear to occur in female hatchlings exposed to BTBPE and EHTBB in ovo. Gene expression analysis revealed multiple affected pathways, adding to the growing evidence that sublethal physiological effects are complex and are a concern for birds exposed to BTBPE, EHTBB, or TBPH in ovo.<span>&nbsp;</span></div>","language":"English","publisher":"MDPI","doi":"10.3390/biology11091341","usgsCitation":"Goodchild, C.G., Karouna-Renier, N., Braham, R.P., Henry, P.F., Letcher, R.J., and Fernie, K.J., 2022, Hepatic gene expression profiling of American kestrels (Falco sparverius) exposed in ovo to three alternative brominated flame retardants: Biology, v. 11, no. 9, 1341, 15 p., https://doi.org/10.3390/biology11091341.","productDescription":"1341, 15 p.","ipdsId":"IP-143491","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":446470,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/biology11091341","text":"Publisher Index Page"},{"id":435693,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ADSS8H","text":"USGS data release","linkHelpText":"Hepatic gene expression transcript counts in liver samples of American kestrels"},{"id":408528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodchild, Christopher G.","contributorId":298081,"corporation":false,"usgs":false,"family":"Goodchild","given":"Christopher","email":"","middleInitial":"G.","affiliations":[{"id":54572,"text":"University of Central Oklahoma","active":true,"usgs":false}],"preferred":false,"id":855066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":855067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Braham, Ryan P. 0000-0002-2102-0989","orcid":"https://orcid.org/0000-0002-2102-0989","contributorId":197772,"corporation":false,"usgs":false,"family":"Braham","given":"Ryan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":855068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":855069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Letcher, Robert J.","contributorId":176209,"corporation":false,"usgs":false,"family":"Letcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":855070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fernie, Kim J.","contributorId":211241,"corporation":false,"usgs":false,"family":"Fernie","given":"Kim","email":"","middleInitial":"J.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":855071,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70239826,"text":"70239826 - 2022 - Using ecosystem services to identify inequitable outcomes in migratory species conservation","interactions":[],"lastModifiedDate":"2023-01-23T12:22:27.935482","indexId":"70239826","displayToPublicDate":"2022-09-10T06:19:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"Using ecosystem services to identify inequitable outcomes in migratory species conservation","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Biodiversity conservation efforts have been criticized for generating inequitable socio-economic outcomes. These equity challenges are largely analyzed as place-based problems affecting local communities directly impacted by conservation programs. The conservation of migratory species extends this problem geographically since people in one place may benefit while those in another bear the costs of conservation. The<span>&nbsp;</span><i>spatial subsidies</i><span>&nbsp;</span>approach offers an effective tool for analyzing such relationships between places connected by migratory species. Designed to quantify ecosystem services provided and received in specific locations across a migratory species’ range—and the disparities between them—the spatial subsidies approach highlights three axes of inequity: between indigenous and settler colonial societies, between urban and rural populations, and between the Global North and Global South. Recognizing these relationships is critical to achieving two mutually reinforcing policy goals: avoiding inequitable conservation outcomes in efforts to conserve migratory species, and ensuring effective long-term conservation of migratory species. In demonstrating how the spatial subsidies approach enables the identification and quantification of inequities involving three migratory species (northern pintail ducks, monarch butterflies, and Mexican free-tailed bats), we argue that a spatial subsidies approach could apply to migratory species conservation efforts worldwide under the context of “payments for ecosystem services.”</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/conl.12920","usgsCitation":"Chester, C.C., Lien, A.M., Sundberg, J., Diffendorfer, J., Gonzales, C., Mattsson, B., Medellin, R., Semmens, D., Thogmartin, W.E., Derbridge, J.J., and Lopez-Hoffman, L., 2022, Using ecosystem services to identify inequitable outcomes in migratory species conservation: Conservation Letters, v. 15, no. 6, e12920, 11 p., https://doi.org/10.1111/conl.12920.","productDescription":"e12920, 11 p.","ipdsId":"IP-141114","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":446479,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/conl.12920","text":"Publisher Index Page"},{"id":412205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-09-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Chester, Charles C.","contributorId":197202,"corporation":false,"usgs":false,"family":"Chester","given":"Charles","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":862051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lien, Aaron M.","contributorId":171643,"corporation":false,"usgs":false,"family":"Lien","given":"Aaron","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":862052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sundberg, Juanita","contributorId":301111,"corporation":false,"usgs":false,"family":"Sundberg","given":"Juanita","email":"","affiliations":[{"id":65310,"text":"Univ Of British Columbia","active":true,"usgs":false}],"preferred":false,"id":862053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":862054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gonzales, Columba","contributorId":301112,"corporation":false,"usgs":false,"family":"Gonzales","given":"Columba","email":"","affiliations":[{"id":65312,"text":"Mount Saint Vincent Univ","active":true,"usgs":false}],"preferred":false,"id":862055,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mattsson, Brady J.","contributorId":171612,"corporation":false,"usgs":false,"family":"Mattsson","given":"Brady J.","affiliations":[{"id":26928,"text":"Univ. of Vienna","active":true,"usgs":false}],"preferred":false,"id":862056,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Medellin, Rodrigo","contributorId":201608,"corporation":false,"usgs":false,"family":"Medellin","given":"Rodrigo","affiliations":[{"id":36218,"text":"UNAM Mexico City","active":true,"usgs":false}],"preferred":false,"id":862057,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Semmens, Darius J. 0000-0001-7924-6529","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":64201,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":862058,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":862059,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Derbridge, Jonathan J. 0000-0003-3074-3166","orcid":"https://orcid.org/0000-0003-3074-3166","contributorId":290285,"corporation":false,"usgs":false,"family":"Derbridge","given":"Jonathan","email":"","middleInitial":"J.","affiliations":[{"id":62394,"text":"The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":862154,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lopez-Hoffman, Laura","contributorId":202621,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":862060,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70239387,"text":"70239387 - 2022 - Hydrologic connectivity and residence time affect the sediment trapping efficiency and dissolved oxygen concentrations of the Atchafalaya River Basin","interactions":[],"lastModifiedDate":"2023-01-11T16:09:55.321068","indexId":"70239387","displayToPublicDate":"2022-09-09T10:03:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic connectivity and residence time affect the sediment trapping efficiency and dissolved oxygen concentrations of the Atchafalaya River Basin","docAbstract":"<p><span>Little is known about water movement, volume, or residence time (RT), and how those characteristics affect sediment trapping efficiency (TE) and dissolved oxygen concentrations (DO) in the United States' largest remaining bottomland hardwood swamp, the Atchafalaya River Basin. To better understand these dynamics, this study used bathymetry, lidar, and stage records to determine volumes in the Basin's hydrologically distinct water management units (WMUs). Discharge measurements determined flow distribution and RT. Residence time was compared with DO to identify conditions that coincided with DO increases or decreases. Suspended sediment concentrations (SSC) were used to determine TE relative to calculated and measured discharge and RT. Discharge through units (85–2,200&nbsp;m</span><sup>3</sup><span>/s) and RT (0.37–231&nbsp;d) depended on connectivity and river stage. At high stages, with water temperatures &gt;20°C, DO in the largest WMU declined by −0.21&nbsp;mg/l/day. DO trends indicated less well-connected areas of the WMU contributed hypoxic waters as the flood wave lengthened and stages fell. In the two WMUs examined for TE, TE (−266% to 99% and up to 38&nbsp;Gg/day) correlated with hydrologic connectivity, SSC, RT, water volume, and, in one WMU, discharge losses. Long RT and high TE indicated a high potential to process nutrients. These relationships varied among WMUs. Large volumes of sediment-laden water moving over the floodplain combined with long RT, high TE, and hypoxia indicate that this ecosystem has continental-scale importance in reducing nutrient loads to the northern Gulf of Mexico. Reports from other systems suggest similar processes may be operating on other large river floodplains globally.</span></p>","language":"English","publisher":"Wiley","doi":"10.1029/2021WR030731","usgsCitation":"Kroes, D., Day, R., Kaller, M.D., Demas, C.R., Kelso, W.E., Pasco, T., Harlan, R., and Roberts, S., 2022, Hydrologic connectivity and residence time affect the sediment trapping efficiency and dissolved oxygen concentrations of the Atchafalaya River Basin: Water Resources Research, v. 58, no. 11, e2021WR030731, 25 p., https://doi.org/10.1029/2021WR030731.","productDescription":"e2021WR030731, 25 p.","ipdsId":"IP-122676","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":446481,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021wr030731","text":"Publisher Index Page"},{"id":411722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Atchafalaya River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.19842494954662,\n              29.43299698721681\n            ],\n            [\n              -91.0065616177603,\n              29.745824547354005\n            ],\n            [\n              -91.69407188999388,\n              30.994196767826082\n            ],\n            [\n              -91.98986119316385,\n              30.994196767826082\n            ],\n            [\n              -91.91791244374411,\n              30.39269246892897\n            ],\n            [\n              -91.62212314057413,\n              29.849884487088616\n            ],\n            [\n              -91.4622370307522,\n              29.540858164204536\n            ],\n            [\n              -91.19842494954662,\n              29.43299698721681\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"58","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kroes, Daniel 0000-0001-9104-9077 dkroes@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-9077","contributorId":3830,"corporation":false,"usgs":true,"family":"Kroes","given":"Daniel","email":"dkroes@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":861386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard 0000-0002-5959-7054","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":221895,"corporation":false,"usgs":true,"family":"Day","given":"Richard","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":861387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kaller, Michael D. 0000-0002-1239-7725","orcid":"https://orcid.org/0000-0002-1239-7725","contributorId":300764,"corporation":false,"usgs":false,"family":"Kaller","given":"Michael","email":"","middleInitial":"D.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":861388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Demas, Charles R.","contributorId":300765,"corporation":false,"usgs":false,"family":"Demas","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":861389,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelso, William E.","contributorId":300766,"corporation":false,"usgs":false,"family":"Kelso","given":"William","email":"","middleInitial":"E.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":861390,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pasco, Tiffany","contributorId":300767,"corporation":false,"usgs":false,"family":"Pasco","given":"Tiffany","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":861391,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harlan, Raynie","contributorId":300768,"corporation":false,"usgs":false,"family":"Harlan","given":"Raynie","email":"","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":861392,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roberts, Steven","contributorId":300769,"corporation":false,"usgs":false,"family":"Roberts","given":"Steven","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":861393,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70241472,"text":"70241472 - 2022 - Quantitative SWOT analysis: A structured and collaborative approach to reintroduction site selection for the endangered Pacific pocket mouse","interactions":[],"lastModifiedDate":"2023-03-21T12:25:09.185035","indexId":"70241472","displayToPublicDate":"2022-09-06T07:22:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2142,"text":"Journal for Nature Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative SWOT analysis: A structured and collaborative approach to reintroduction site selection for the endangered Pacific pocket mouse","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab005\" class=\"abstract author\"><div id=\"as005\"><p id=\"sp0005\"><span>Species extinction and loss of biodiversity are major crises in the Anthropocene. Translocations of threatened and endangered species, the movement of individuals to augment existing or establish new populations, are increasingly important conservation tools, but have historically had limited success. Selection of a suitable receiver site is essential to translocation success, with poor site suitability cited as one of the most common reasons for relocation failure. We utilized a quantitative SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis to evaluate and prioritize potential receiver sites for the Pacific&nbsp;pocket mouse&nbsp;(</span><span><i>Perognathus</i><i>&nbsp;longimembris pacificus</i></span><span>), an endangered&nbsp;subspecies&nbsp;of heteromyid rodent endemic to coastal southern California. With only three remaining extant populations, a conservation breeding and&nbsp;reintroduction&nbsp;program is underway with the goal of creating additional wild populations in new or historic locations throughout its indigenous range. Here we describe our use of SWOT analysis and discuss the strengths of this approach as well as improvements that could be made to the evaluation process for other species. Overall, we found that using a structured, transparent, and collaborative process was a valuable tool for prioritizing receiver sites. SWOT analysis is a flexible, repeatable, and proactive approach for identifying receiver sites and the preparations necessary to improve species-specific suitability. This approach has the potential to result in successful relocation compared to less structured site selection processes where poor site suitability is ultimately identified as a major factor in failure to establish wild populations.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jnc.2022.126268","usgsCitation":"Chock, R.Y., Miller, W.B., King, S.N., Brehme, C.S., Fisher, R., Sin, H., Wilcox, P., Terp, J., Tremor, S., Major, M.R., Merrill, K., Spencer, W.D., Sullivan, S., and Shier, D.M., 2022, Quantitative SWOT analysis: A structured and collaborative approach to reintroduction site selection for the endangered Pacific pocket mouse: Journal for Nature Conservation, v. 70, 126268, 10 p., https://doi.org/10.1016/j.jnc.2022.126268.","productDescription":"126268, 10 p.","ipdsId":"IP-142867","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":446519,"rank":0,"type":{"id":40,"text":"Open 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,{"id":70262309,"text":"70262309 - 2022 - Efficacy of secondary electric fences at preventing direct contact among white-tailed deer","interactions":[],"lastModifiedDate":"2025-01-22T16:52:25.267614","indexId":"70262309","displayToPublicDate":"2022-09-06T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of secondary electric fences at preventing direct contact among white-tailed deer","docAbstract":"<p><span>Free-ranging and captive cervid herds are at risk for chronic wasting disease transmission from direct contacts at fences, so we explored the use of a secondary electric fence to prevent contacts in white-tailed deer (</span><i>Odocoileus virginianus</i><span>). Using a captive herd of white-tailed deer in Pennsylvania, USA, we tested the efficacy of two electric fence designs (one three-strand and one six-strand) constructed along separate primary fence lines (each composed of 20 m of chain link and 20 m of woven wire fencing) dividing paddocks of captive deer. From June to November 2019, we conducted three trials of variable lengths to assess how season, age, and sex impacted behavior and motivation of deer to breach the electric fence. When no electric fence was in place, we observed 117 direct contacts through woven wire and chain link fences. With the electric fences in place, we observed electric fence breaches (which led to direct contact between deer) by weaned fawns (37 breaches, 4 direct contacts) and males in the mid- and late-rut (2 breaches, 1 direct contact). The majority of breaches occurred across the three-strand-fence. Our results suggest that no style of primary fence alone is sufficient to prevent direct contacts and that the addition of a secondary, properly designed electric fence constructed along the primary fence of captive white-tailed deer facilities could prevent direct contact between captive and free-ranging deer.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1350","usgsCitation":"Khouri, R., Wagner, D., and Walter, W., 2022, Efficacy of secondary electric fences at preventing direct contact among white-tailed deer: Wildlife Society Bulletin, v. 46, no. 4, e1350, 12 p., https://doi.org/10.1002/wsb.1350.","productDescription":"e1350, 12 p.","ipdsId":"IP-127087","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481076,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1350","text":"Publisher Index 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,{"id":70236398,"text":"70236398 - 2022 - Rapid ʻŌhiʻa Death in Hawaiʻi","interactions":[],"lastModifiedDate":"2022-09-05T16:43:33.981238","indexId":"70236398","displayToPublicDate":"2022-09-05T11:15:53","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Rapid ʻŌhiʻa Death in Hawaiʻi","docAbstract":"<p><i>Ceratocystis lukuohia</i> and <i>Ceratocystis huliohia</i> are two newly recognized fungi that have arrived in Hawai‘i and are causing a serious vascular wilt and canker disease, respectively, of ‘ōhi‘a trees (<i>Metrosideros polymorpha</i>), the most common and important tree species in Hawai‘i. Management of these diseases has presented challenges due to unique etiological aspects and the exceptionally pathogenic nature of one of these fungi (<i>C. lukuohia</i>) once it gains access to the tree’s vascular tissue. Careful study of the spread of the pathogens has resulted in an understanding of the role of ambrosia beetles and the frass they produce that carries the pathogen, as well as the wounding of trees by many different agents by which the pathogen can access and infect the vascular tissue.</p><p>A variety control measures are being used. These include a state-of-the-art monitoring program to detect diseased and recently killed trees and molecular biology approaches that can confirm if a given tree was infected by <i>Ceratocystis</i>. Based on monitoring more than one million trees have been estimated as killed by the diseases to date. A major part of the program includes the deployment of a field crew that seeks out and fells large infected ‘ōhi‘a trees as these trees are the main source of most of the infective <i>Ceratocystis</i>-laden frass. Long-term control measures also include fencing of some forests to reduce the amount of wounding to ‘ōhi‘a trees by feral cattle and pigs that allows entry of the fungi and quarantine restrictions to ensure there will be no inter-island movement of the pathogens in ‘ōhi‘a products. Finally, methods are also being developed to restore ‘ōhi‘a forests affected by these diseases by determining effective regeneration practices and developing genetically resistant ‘ōhi‘a stock.</p><p>Hawai‘i has an active extension program dedicated to providing information on how residents and visitors can contribute to protecting ‘ōhi‘a trees from these diseases. More than 500,000 people have participated in this program. Hawai‘i residents have a very deep appreciation for this tree species and do what they can to help prevent these diseases from destroying more of their most treasured tree species.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Forest microbiology: Forest tree health","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-323-85042-1.00013-6","usgsCitation":"Cannon, P., Friday, J.B., Harrington, T., Keith, L., Hughes, M., Hauff, R., Hughes, F., Perroy, R.L., Benitez, D., Roy, K., Peck, R., Smith, S.L., Luiz, B., Cordell, S., Giardina, C., Juzwik, J., Yelenik, S.G., and Cook, Z., 2022, Rapid ʻŌhiʻa Death in Hawaiʻi, chap. <i>of</i> Forest microbiology: Forest tree health, v. 2, p. 267-289, https://doi.org/10.1016/B978-0-323-85042-1.00013-6.","productDescription":"23 p.","startPage":"267","endPage":"289","ipdsId":"IP-136236","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research 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Center","active":false,"usgs":true}],"preferred":true,"id":850879,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Peck, Robert W. 0000-0002-8739-9493","orcid":"https://orcid.org/0000-0002-8739-9493","contributorId":193088,"corporation":false,"usgs":false,"family":"Peck","given":"Robert W.","affiliations":[],"preferred":false,"id":850880,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smith, Sheri L.","contributorId":229063,"corporation":false,"usgs":false,"family":"Smith","given":"Sheri","email":"","middleInitial":"L.","affiliations":[{"id":41573,"text":"USDA Forest Service, Region 5, State and Private Forestry, 1323 Club Drive, Vallejo, CA, 94592, USA","active":true,"usgs":false}],"preferred":false,"id":850881,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Luiz, Blaine","contributorId":296216,"corporation":false,"usgs":false,"family":"Luiz","given":"Blaine","email":"","affiliations":[{"id":64005,"text":"Akaka Foundation for Tropical Forests","active":true,"usgs":false}],"preferred":false,"id":850883,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cordell, Susan","contributorId":197818,"corporation":false,"usgs":false,"family":"Cordell","given":"Susan","email":"","affiliations":[],"preferred":false,"id":850882,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Giardina, Christian ","contributorId":221117,"corporation":false,"usgs":false,"family":"Giardina","given":"Christian ","affiliations":[{"id":40321,"text":"USDA Forest Service, Pacific Southwest Research Station","active":true,"usgs":false}],"preferred":false,"id":850896,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Juzwik, Jennifer","contributorId":296217,"corporation":false,"usgs":false,"family":"Juzwik","given":"Jennifer","email":"","affiliations":[{"id":13259,"text":"USDA Forest Service Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":850884,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Yelenik, Stephanie G. 0000-0002-9011-0769","orcid":"https://orcid.org/0000-0002-9011-0769","contributorId":256836,"corporation":false,"usgs":false,"family":"Yelenik","given":"Stephanie","email":"","middleInitial":"G.","affiliations":[{"id":51875,"text":"formerly U.S. Geological Survey; currently Rocky Mountain Research Station, U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":850885,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Cook, Zachary","contributorId":296224,"corporation":false,"usgs":false,"family":"Cook","given":"Zachary","email":"","affiliations":[{"id":64005,"text":"Akaka Foundation for Tropical Forests","active":true,"usgs":false}],"preferred":false,"id":850897,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70237051,"text":"70237051 - 2022 - New generation hyperspectral data From DESIS compared to high spatial resolution PlanetScope data for crop type classification","interactions":[],"lastModifiedDate":"2022-09-28T15:30:10.811953","indexId":"70237051","displayToPublicDate":"2022-09-05T10:25:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1942,"text":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"New generation hyperspectral data From DESIS compared to high spatial resolution PlanetScope data for crop type classification","docAbstract":"<p><span>Thoroughly investigating the characteristics of new generation hyperspectral and high spatial resolution spaceborne sensors will advance the study of agricultural crops. Therefore, we compared the performances of hyperspectral Deutsches Zentrum fur Luftund Raumfahrt- (DLR) Earth Sensing Imaging Spectrometer (DESIS) and high spatial resolution PlanetScope in classifying eight crop types in California's Central Valley during the 2020 growing season. The DESIS sensor onboard the International Space Station collects data at 235 hyperspectral narrowbands (HNB) each with 2.55 nm bandwidth from 400–1000 nm and 30 m spatial resolution. In contrast, PlanetScope Dove-R data have four multispectral broadbands (MBB) with 3–4 m spatial resolution. We obtained best classification accuracies using 14 DESIS HNB from the August 2020 image, with an overall accuracy of 85% and producer's and user's accuracies of 72–100% and 75–100%, respectively, for the eight crops. The best classification accuracies using PlanetScope data were obtained using an image mosaic pair from June and August 2020; this resulted in an overall accuracy of 79% and producer's and user's accuracies of 56–100% and 61–100%, respectively. Combining the best 14 DESIS HNB from August 2020 with the 4 PlanetScope MBB from August 2020 yielded an overall accuracy of 82% and producer's and user's accuracies of 65–100% and 60–94%, respectively. On one-to-one single date comparisons of DESIS versus PlanetScope data, the hyperspectral data always outperformed high spatial resolution data in crop type classification. Nevertheless, high spatial resolution data will remain invaluable in assessing within-field variability and crop biophysical/biochemical modeling in precision agriculture.</span></p>","language":"English","publisher":"IEEE","doi":"10.1109/JSTARS.2022.3204223","usgsCitation":"Aneece, I.P., Foley, D., Thenkabail, P., Oliphant, A., and Teluguntla, P.G., 2022, New generation hyperspectral data From DESIS compared to high spatial resolution PlanetScope data for crop type classification: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 15, p. 7846-7858, https://doi.org/10.1109/JSTARS.2022.3204223.","productDescription":"13 p.","startPage":"7846","endPage":"7858","ipdsId":"IP-140341","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":446530,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1109/jstars.2022.3204223","text":"Publisher Index Page"},{"id":435698,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XM63RK","text":"USGS data release","linkHelpText":"PlanetScope and DESIS spectral library of agricultural crops in California's Central Valley for the 2020 growing season"},{"id":407512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Aneece, Itiya P. 0000-0002-1201-5459","orcid":"https://orcid.org/0000-0002-1201-5459","contributorId":208265,"corporation":false,"usgs":true,"family":"Aneece","given":"Itiya","middleInitial":"P.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":853176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Daniel 0000-0002-2051-6325","orcid":"https://orcid.org/0000-0002-2051-6325","contributorId":208266,"corporation":false,"usgs":true,"family":"Foley","given":"Daniel","email":"","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":853177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thenkabail, Prasad 0000-0002-2182-8822","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":220239,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":853178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oliphant, Adam 0000-0001-8622-7932 aoliphant@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-7932","contributorId":192325,"corporation":false,"usgs":true,"family":"Oliphant","given":"Adam","email":"aoliphant@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":853179,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teluguntla, Pardhasaradhi G. 0000-0001-8060-9841","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":297051,"corporation":false,"usgs":true,"family":"Teluguntla","given":"Pardhasaradhi","email":"","middleInitial":"G.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":853180,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236453,"text":"70236453 - 2022 - Exploring and mitigating plague for One Health purposes","interactions":[],"lastModifiedDate":"2023-01-18T16:08:08.339931","indexId":"70236453","displayToPublicDate":"2022-09-02T07:14:07","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12571,"text":"Current Tropical Medicine Reports","active":true,"publicationSubtype":{"id":10}},"title":"Exploring and mitigating plague for One Health purposes","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Purpose of Review</h3><p>In 2020, the Appropriations Committee for the U.S. House of Representatives directed the CDC to develop a national One Health framework to combat zoonotic diseases, including sylvatic plague, which is caused by the flea-borne bacterium<span>&nbsp;</span><i>Yersinia pestis</i>. This review builds upon that multisectoral objective. We aim to increase awareness of<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>and to highlight examples of plague mitigation for One Health purposes (i.e., to achieve optimal health outcomes for people, animals, plants, and their shared environment). We draw primarily upon examples from the USA, but also discuss research from Madagascar and Uganda where relevant, as<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>has emerged as a zoonotic threat in those foci.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Recent Findings</h3><p>Historically, the bulk of plague research has been directed at the disease in humans. This is not surprising, given that<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>is a scourge of human history. Nevertheless, the ecology of<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>is inextricably linked to other mammals and fleas under natural conditions. Accumulating evidence demonstrates<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>is an unrelenting threat to multiple ecosystems, where the bacterium is capable of significantly reducing native species abundance and diversity while altering competitive and trophic relationships, food web connections, and nutrient cycles. In doing so,<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>transforms ecosystems, causing “shifting baselines syndrome” in humans, where there is a gradual shift in the accepted norms for the condition of the natural environment. Eradication of<span>&nbsp;</span><i>Y. pestis</i><span>&nbsp;</span>in nature is difficult to impossible, but effective mitigation is achievable; we discuss flea vector control and One Health implications in this context.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Summary</h3><p>There is an acute need to rapidly expand research on<span>&nbsp;</span><i>Y. pestis</i>, across multiple host and flea species and varied ecosystems of the Western US and abroad, for human and environmental health purposes. The fate of many wildlife species hangs in the balance, and the implications for humans are profound in some regions. Collaborative multisectoral research is needed to define the scope of the problem in each epidemiological context and to identify, refine, and implement appropriate and effective mitigation practices.</p>","language":"English","publisher":"Springer","doi":"10.1007/s40475-022-00265-6","usgsCitation":"Eads, D.A., Biggins, D.E., Wimsatt, J., Eisen, R., Hinnebusch, B.J., Matchett, M.R., Goldberg, A., Livieri, T., Hacker, G., Novak, M., Buttke, D., Grassel, S.M., Hughes-Clarke, J., and Atiku, L., 2022, Exploring and mitigating plague for One Health purposes: Current Tropical Medicine Reports, v. 9, p. 169-184, https://doi.org/10.1007/s40475-022-00265-6.","productDescription":"16 p.","startPage":"169","endPage":"184","ipdsId":"IP-136407","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":446558,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11358858","text":"External Repository"},{"id":406299,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2022-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":851035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":851036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wimsatt, Jeffrey","contributorId":173421,"corporation":false,"usgs":false,"family":"Wimsatt","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":851037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eisen, Rebecca J.","contributorId":148027,"corporation":false,"usgs":false,"family":"Eisen","given":"Rebecca J.","affiliations":[{"id":16974,"text":"US Centers for Disease Control and Prevention (CDC)","active":true,"usgs":false}],"preferred":false,"id":851038,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hinnebusch, B. Joseph","contributorId":295326,"corporation":false,"usgs":false,"family":"Hinnebusch","given":"B.","email":"","middleInitial":"Joseph","affiliations":[{"id":13450,"text":"NIH","active":true,"usgs":false}],"preferred":false,"id":851039,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matchett, Marc R.","contributorId":193409,"corporation":false,"usgs":false,"family":"Matchett","given":"Marc","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":851040,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goldberg, Amanda R.","contributorId":288043,"corporation":false,"usgs":false,"family":"Goldberg","given":"Amanda R.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":851041,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Livieri, Travis","contributorId":279912,"corporation":false,"usgs":false,"family":"Livieri","given":"Travis","affiliations":[{"id":6753,"text":"Prairie Wildlife Research","active":true,"usgs":false}],"preferred":false,"id":851042,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hacker, Gregory","contributorId":296262,"corporation":false,"usgs":false,"family":"Hacker","given":"Gregory","email":"","affiliations":[{"id":33266,"text":"California Department of Public Health","active":true,"usgs":false}],"preferred":false,"id":851043,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Novak, Mark","contributorId":45229,"corporation":false,"usgs":false,"family":"Novak","given":"Mark","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":851044,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Buttke, Danielle","contributorId":225082,"corporation":false,"usgs":false,"family":"Buttke","given":"Danielle","affiliations":[],"preferred":false,"id":851045,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Grassel, Shaun M.","contributorId":150648,"corporation":false,"usgs":false,"family":"Grassel","given":"Shaun","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":851046,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hughes-Clarke, John","contributorId":41698,"corporation":false,"usgs":false,"family":"Hughes-Clarke","given":"John","email":"","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":851047,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Atiku, Linda","contributorId":296263,"corporation":false,"usgs":false,"family":"Atiku","given":"Linda","email":"","affiliations":[{"id":64008,"text":"Uganda Virus Research Institute","active":true,"usgs":false}],"preferred":false,"id":851048,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70256750,"text":"70256750 - 2022 - Seasonal context of bristly cave crayfish Cambarus setosus habitat use and life history","interactions":[],"lastModifiedDate":"2024-09-04T15:39:26.083626","indexId":"70256750","displayToPublicDate":"2022-09-01T10:33:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2201,"text":"Journal of Cave and Karst Studies","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal context of bristly cave crayfish Cambarus setosus habitat use and life history","docAbstract":"<p>Cave crayfishes are important members of groundwater communities, but many cave crayfishes are threatened or endangered. Unfortunately, we lack basic life history and ecological data that are needed for developing conservation plans for most cave crayfishes, especially the role of seasonal and annual fluctuations in structuring populations. Therefore, we determined the seasonal life history and habitat use of <i>Cambarus setosus</i> in Smallin Civil War Cave, Christian County, Missouri, United States. We conducted visual crayfish surveys over a 400 m section of the cave from 2006 to 2019. We used multinomial logit, multiple linear regression, and logistic regression models to estimate crayfish substrate, water depth, and water velocity use, respectively. All models included sex, carapace length, season, distance into the cave, and interactions between all variables and sex as predictor terms. We also used t-tests to assess morphometric differences between male and female crayfish. Six mark-recapture events (2010 to 2019) were used to estimate population sizes using a nil-recapture model. We attempted to age eight individuals using gastric mill bands, but annual bands were not discernable. We found reproductively active males during all seasons. We captured one ovigerous female during the spring, though ovigerous females were observed during show cave tours during spring, summer, and autumn. Male <i>C. setosus</i> were more likely to use homogenous and heterogeneous rock substrates and shallower and calmer water when compared to females; however, these relationships varied based on distance into the cave and season. Females sampled were significantly larger than males, and males regenerated chelae more often. Minimum population size estimates ranged from 9 to 159 individuals and indicated the population was relatively stable. Our data provide both a baseline population estimate for comparison with future studies and valuable trait information that is often lacking but useful for developing conservation efforts. </p>","language":"English","publisher":"National Speleological Society","doi":"10.4311/2021LSC0110","usgsCitation":"Mouser, J., Ashley, D., Zenter, D., and Brewer, S.K., 2022, Seasonal context of bristly cave crayfish Cambarus setosus habitat use and life history: Journal of Cave and Karst Studies, v. 84, no. 3, p. 85-95, https://doi.org/10.4311/2021LSC0110.","productDescription":"11 p.","startPage":"85","endPage":"95","ipdsId":"IP-127872","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":446569,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.4311/2021lsc0110","text":"Publisher Index Page"},{"id":433451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","county":"Christian County","otherGeospatial":"Smallin Civil War Cave","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.18894102326013,\n              37.05222350256189\n            ],\n            [\n              -93.18894102326013,\n              37.04918995811687\n            ],\n            [\n              -93.18586955215672,\n              37.04918995811687\n            ],\n            [\n              -93.18586955215672,\n              37.05222350256189\n            ],\n            [\n              -93.18894102326013,\n              37.05222350256189\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"84","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mouser, J.B.","contributorId":244447,"corporation":false,"usgs":false,"family":"Mouser","given":"J.B.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":908855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashley, D.C.","contributorId":244487,"corporation":false,"usgs":false,"family":"Ashley","given":"D.C.","email":"","affiliations":[{"id":48915,"text":"Missouri Western State University","active":true,"usgs":false}],"preferred":false,"id":908856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zenter, D.L.","contributorId":341751,"corporation":false,"usgs":false,"family":"Zenter","given":"D.L.","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":908857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":908858,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70236641,"text":"70236641 - 2022 - A process-model perspective on recent changes in the carbon cycle of North America","interactions":[],"lastModifiedDate":"2022-09-14T14:51:20.282288","indexId":"70236641","displayToPublicDate":"2022-09-01T09:43:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7359,"text":"Journal of Geophysical Research Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"A process-model perspective on recent changes in the carbon cycle of North America","docAbstract":"<p><span>Continental North America has been found to be a carbon (C) sink over recent decades by multiple studies employing a variety of estimation approaches. However, several key questions and uncertainties remain with these assessments. Here we used results from an ensemble of 19 state-of-the-art dynamic global vegetation models from the TRENDYv9 project to improve these estimates and study the drivers of its interannual variability. Our results show that North America has been a C sink with a magnitude of 0.37&nbsp;±&nbsp;0.38 (mean and one standard deviation) PgC year</span><sup>−1</sup><span>&nbsp;for the period 2000–2019 (0.31 and 0.44 PgC year</span><sup>−1</sup><span>&nbsp;in each decade); split into 0.18&nbsp;±&nbsp;0.12 PgC year</span><sup>−1</sup><span>&nbsp;in Canada (0.15 and 0.20), 0.16&nbsp;±&nbsp;0.17 in the United States (0.14 and 0.17), 0.02&nbsp;±&nbsp;0.05 PgC year</span><sup>−1</sup><span>&nbsp;in Mexico (0.02 and 0.02) and 0.01&nbsp;±&nbsp;0.02 in Central America and the Caribbean (0.01 and 0.01). About 57% of the new C assimilated by terrestrial ecosystems is allocated into vegetation, 30% into soils, and 13% into litter. Losses of C due to fire account for 41% of the interannual variability of the mean net biome productivity for all North America in the model ensemble. Finally, we show that drought years (e.g., 2002) have the potential to shift the region to a small net C source in the simulations (−0.02&nbsp;±&nbsp;0.46 PgC year</span><sup>−1</sup><span>). Our results highlight the importance of identifying the major drivers of the interannual variability of the continental-scale land C cycle along with the spatial distribution of local sink-source dynamics.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JG006904","usgsCitation":"Murray-Tortarolo, G., Poulter, B., Vargas, R., Hayes, D., Michalak, A., Williams , C., Windham-Myers, L., Wang, J., Wickland, K., Butman, D., Tian, H., Sitch, S., Friedlingstein, P., O’Sullivan, M., Briggs, P., Arora, V., Lombardozzi, D., Jain, A., Yuan, W., Seferian, R., Nabel, J., Wiltshire, A., Arneth, A., Lienerte, S., Zaehle, S., Bastrikov, V., Goll, D., Vuichard, N., Walker, A.P., Kato, E., Xu, Y., Zhang, Z., Chaterjee, A., and Kurz, W., 2022, A process-model perspective on recent changes in the carbon cycle of North America: Journal of Geophysical Research Biogeosciences, v. 127, no. 9, e2022JG006904, 19 p., https://doi.org/10.1029/2022JG006904.","productDescription":"e2022JG006904, 19 p.","ipdsId":"IP-144503","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":446574,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022jg006904","text":"Publisher Index Page"},{"id":406674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -42.1875,\n              60.413852350464914\n            ],\n            [\n              -20.7421875,\n              70.61261423801925\n            ],\n            [\n              -12.3046875,\n              82.02137801950887\n            ],\n            [\n              -28.828124999999996,\n              83.63810565804015\n            ],\n            [\n              -83.671875,\n              83.31873282163234\n            ],\n            [\n              -130.78125,\n              75.58493740869223\n            ],\n            [\n              -131.1328125,\n              70.72897946208789\n            ],\n            [\n              -164.1796875,\n              71.74643171904148\n            ],\n            [\n              -172.96875,\n              62.91523303947614\n            ],\n            [\n              -159.9609375,\n              52.696361078274485\n            ],\n            [\n              -142.03125,\n              58.07787626787517\n            ],\n            [\n              -128.671875,\n              47.989921667414194\n            ],\n            [\n              -120.9375,\n              24.84656534821976\n            ],\n            [\n              -83.3203125,\n              4.915832801313164\n            ],\n            [\n              -76.640625,\n              11.178401873711785\n            ],\n            [\n              -67.8515625,\n              17.97873309555617\n            ],\n            [\n              -42.1875,\n              60.413852350464914\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"127","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Murray-Tortarolo, Guillermo","contributorId":296446,"corporation":false,"usgs":false,"family":"Murray-Tortarolo","given":"Guillermo","email":"","affiliations":[{"id":64038,"text":"Instituto de Investigaciones en Ecosistemas y Sustentabilidad. 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,{"id":70236341,"text":"70236341 - 2022 - Comparing root cohesion estimates from three models at a shallow landslide in the Oregon Coast Range","interactions":[],"lastModifiedDate":"2022-09-02T14:17:32.925032","indexId":"70236341","displayToPublicDate":"2022-09-01T09:13:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12565,"text":"GeoHazards","active":true,"publicationSubtype":{"id":10}},"title":"Comparing root cohesion estimates from three models at a shallow landslide in the Oregon Coast Range","docAbstract":"<p><span>Although accurate root cohesion model estimates are essential to quantify the effect of vegetation roots on shallow slope stability, few means exist to independently validate such model outputs. One validation approach for cohesion estimates is back-calculation of apparent root cohesion at a landslide site with well-documented failure conditions. The catchment named CB1, near Coos Bay, Oregon, USA, which experienced a shallow landslide in 1996, is a prime locality for cohesion model validation, as an abundance of data and observations from the site generated broad insights related to hillslope hydrology and slope stability. However, previously published root cohesion values at CB1 used the Wu and Waldron model (WWM), which assumes simultaneous root failure and therefore likely overestimates root cohesion. Reassessing published cohesion estimates from this site is warranted, as more recently developed models include the fiber bundle model (FBM), which simulates progressive failure with load redistribution, and the root bundle model-Weibull (RBMw), which accounts for differential strain loading. We applied the WWM, FBM, and RBMw at CB1 using post-failure root data from five vegetation species. At CB1, the FBM and RBMw predict values that are less than 30% of the WWM-estimated values. All three models show that root cohesion has substantial spatial heterogeneity. Most parts of the landslide scarp have little root cohesion, with areas of high cohesion concentrated near plant roots. These findings underscore the importance of using physically realistic models and considering lateral and vertical spatial heterogeneity of root cohesion in shallow landslide initiation and provide a necessary step towards independently assessing root cohesion model validity.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/geohazards3030022","usgsCitation":"Cronkite-Ratcliff, C., Schmidt, K.M., and Wirion, C., 2022, Comparing root cohesion estimates from three models at a shallow landslide in the Oregon Coast Range: GeoHazards, v. 3, no. 3, p. 428-451, https://doi.org/10.3390/geohazards3030022.","productDescription":"24 p.","startPage":"428","endPage":"451","ipdsId":"IP-133079","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":446579,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/geohazards3030022","text":"Publisher Index Page"},{"id":406136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","city":"Coos Bay","otherGeospatial":"Coast Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.56298828125001,\n              43.14909399920127\n            ],\n            [\n              -123.50830078125,\n              43.14909399920127\n            ],\n            [\n              -123.50830078125,\n              43.75522505306928\n            ],\n            [\n              -124.56298828125001,\n              43.75522505306928\n            ],\n            [\n              -124.56298828125001,\n              43.14909399920127\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Cronkite-Ratcliff, Collin 0000-0001-5485-3832 ccronkite-ratcliff@usgs.gov","orcid":"https://orcid.org/0000-0001-5485-3832","contributorId":203951,"corporation":false,"usgs":true,"family":"Cronkite-Ratcliff","given":"Collin","email":"ccronkite-ratcliff@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Kevin M. 0000-0003-2365-8035 kschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":1985,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kevin","email":"kschmidt@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wirion, Charlotte 0000-0003-0721-3036","orcid":"https://orcid.org/0000-0003-0721-3036","contributorId":296101,"corporation":false,"usgs":false,"family":"Wirion","given":"Charlotte","email":"","affiliations":[{"id":63984,"text":"ETH Zurich, Switzerland (now at WEO, Luxembourg)","active":true,"usgs":false}],"preferred":false,"id":850666,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262281,"text":"70262281 - 2022 - Lake Sturgeon movement after trap and transfer around two dams on the Menominee River, Wisconsin-Michigan","interactions":[],"lastModifiedDate":"2025-01-21T15:17:43.018461","indexId":"70262281","displayToPublicDate":"2022-09-01T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Lake Sturgeon movement after trap and transfer around two dams on the Menominee River, Wisconsin-Michigan","docAbstract":"<p><span>Fish behavior after passage or transfer around dams is a critical component in determining whether the goals of these efforts are achieved, but these behaviors are often poorly understood. An elevator was constructed in the lowermost hydroelectric dam on the Menominee River, Wisconsin–Michigan; it is the first elevator specifically designed to capture Lake Sturgeon&nbsp;</span><i>Acipenser fulvescens</i><span>&nbsp;for upstream transfer above two dams, providing access to high-quality spawning and early life habitat. Our objectives were to determine whether (1) Lake Sturgeon transferred upstream remained upstream for at least one spawning opportunity; (2) spawning opportunity, time to reach the next dam upstream, and residency in different segments of the river were related to sex, capture method (elevator versus electrofishing), and season of transfer; and (3) the probability of fish transitioning back downstream of the two dams varied among months. We evaluated posttransfer behaviors of 139 Lake Sturgeon that were captured in the elevator or by electrofishing, implanted with acoustic transmitters, transferred upstream (in spring or fall) from fall 2014 to spring 2017, and monitored until fall 2018 using 20–23 stationary acoustic receivers deployed throughout the river. Most Lake Sturgeon (91%) remained upstream for at least one spawning opportunity. The probability of remaining for one spawning opportunity was not related to sex, fish capture method, or season of transfer. Residency times within the two impoundments and time to reach the next dam upstream varied among individual fish. A multistate model indicated that monthly survival after upstream transfer was high and that Lake Sturgeon typically remained above both dams in late fall to early spring, with most downstream movements occurring in April and May. Our results indicate that Lake Sturgeon transferred upstream have the potential to contribute offspring that may help to bolster the Lake Sturgeon population in Lake Michigan, but additional research may help in determining whether these contributions occur.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10379","usgsCitation":"Isermann, D.A., Raabe, J., Easterly, E., Schulze, J., Porter, N., Dembkowski, D., Donofrio, M., Kramer, D., and Elliott, R., 2022, Lake Sturgeon movement after trap and transfer around two dams on the Menominee River, Wisconsin-Michigan: Transactions of the American Fisheries Society, v. 151, no. 5, p. 611-629, https://doi.org/10.1002/tafs.10379.","productDescription":"19 p.","startPage":"611","endPage":"629","ipdsId":"IP-137127","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480742,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Wisconsin","otherGeospatial":"Menominee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.52923848272457,\n              45.083121335445355\n            ],\n            [\n              -87.52923848272457,\n              45.431368318822194\n            ],\n            [\n              -87.97927795298747,\n              45.431368318822194\n            ],\n            [\n              -87.97927795298747,\n              45.083121335445355\n            ],\n            [\n              -87.52923848272457,\n              45.083121335445355\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"151","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-08-29","publicationStatus":"PW","contributors":{"authors":[{"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":923726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raabe, Joshua K.","contributorId":348735,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua K.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":923727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Easterly, Emma G.","contributorId":348736,"corporation":false,"usgs":false,"family":"Easterly","given":"Emma G.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":923728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schulze, Joshua C.","contributorId":348738,"corporation":false,"usgs":false,"family":"Schulze","given":"Joshua C.","affiliations":[{"id":83404,"text":"USDA Forest Service Region 1","active":true,"usgs":false}],"preferred":false,"id":923729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Porter, Nicholas J.","contributorId":348741,"corporation":false,"usgs":false,"family":"Porter","given":"Nicholas J.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":923730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dembkowski, Daniel J.","contributorId":348743,"corporation":false,"usgs":false,"family":"Dembkowski","given":"Daniel J.","affiliations":[{"id":65894,"text":"Wisconsin Cooperative Fishery Research Unit","active":true,"usgs":false}],"preferred":false,"id":923731,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Donofrio, Michael C.","contributorId":348744,"corporation":false,"usgs":false,"family":"Donofrio","given":"Michael C.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":923732,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kramer, Darren R.","contributorId":348745,"corporation":false,"usgs":false,"family":"Kramer","given":"Darren R.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":923733,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Elliott, Robert F.","contributorId":348746,"corporation":false,"usgs":false,"family":"Elliott","given":"Robert F.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":923734,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70243223,"text":"70243223 - 2022 - A RADical approach to conservation in Alaska: Rapid climate change requires a new perspective","interactions":[],"lastModifiedDate":"2023-05-04T11:57:47.796089","indexId":"70243223","displayToPublicDate":"2022-08-31T06:56:30","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3587,"text":"The Wildlife Professional","active":true,"publicationSubtype":{"id":10}},"title":"A RADical approach to conservation in Alaska: Rapid climate change requires a new perspective","docAbstract":"In Alaska, conservation areas are managed to promote the persistence of wild species, habitats, cultural resources, visitor experiences, and ecosystem services. Many conservation areas are managed by federal or state agencies, and have specific boundaries, missions, and legislative mandates. Many are also the domains of Indigenous and local people who derive livelihoods and cultural identity from these lands. These areas vary considerably as to whether they are managed solely for conservation versus other additional values. Myriad threats challenge the sustainability of these values, and conservation areas often exist to mitigate such threats. But regardless of jurisdiction, legal contexts, or historical impacts, all these places face challenges, unprecedented during human habitation, from one globally pervasive threat: anthropogenic climate change. Yes, ecosystems, including people who depend on them, have adapted to constant change in Alaska over most of the Holocene if not before (at least the last 18kyr). And this experience has conferred upon its constituents learned adaptive capacity, capabilities, and knowledges among the most flexible on the planet. We discuss the implications of the Resist, Accept, Direct adaptation framework in the context of conservation management in Alaska.","language":"English","publisher":"The Wildlife Society","usgsCitation":"Littell, J., Schuurman, G.W., Reynolds, J.H., Morton, J., and Schmitt, N., 2022, A RADical approach to conservation in Alaska: Rapid climate change requires a new perspective: The Wildlife Professional, v. 16, no. 4, p. 26-30.","productDescription":"5 p.","startPage":"26","endPage":"30","ipdsId":"IP-139976","costCenters":[{"id":49028,"text":"Alaska Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":416703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416699,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://wildlife.org/wp-content/uploads/2022/07/TWP_16.4_Online.pdf"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -168.22638085558185,\n              71.80633366324128\n            ],\n            [\n              -168.22638085558185,\n              53.56022695114342\n            ],\n            [\n              -129.04401679249227,\n              53.56022695114342\n            ],\n            [\n              -129.04401679249227,\n              71.80633366324128\n            ],\n            [\n              -168.22638085558185,\n              71.80633366324128\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":871510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":871511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, Joel H.","contributorId":140498,"corporation":false,"usgs":false,"family":"Reynolds","given":"Joel","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":871512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morton, John M.","contributorId":245969,"corporation":false,"usgs":false,"family":"Morton","given":"John M.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":871513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmitt, Nicole","contributorId":304735,"corporation":false,"usgs":false,"family":"Schmitt","given":"Nicole","email":"","affiliations":[{"id":66155,"text":"Alaska Wildlife Alliance","active":true,"usgs":false}],"preferred":false,"id":871514,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236124,"text":"ofr20221044 - 2022 - Distribution and demography of Coastal Cactus Wrens in Southern California, 2015–19","interactions":[],"lastModifiedDate":"2022-09-27T13:30:35.071237","indexId":"ofr20221044","displayToPublicDate":"2022-08-30T13:38:50","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1044","displayTitle":"Distribution and Demography of Coastal Cactus Wrens in Southern California, 2015–19","title":"Distribution and demography of Coastal Cactus Wrens in Southern California, 2015–19","docAbstract":"<p>Surveys and monitoring for the coastal Cactus Wren (<i>Campylorhynchus brunneicapillus</i>) were completed in San Diego County between March 2015 and July 2019. A total of 383 plots were surveyed across 3 genetic clusters (Otay, Lake Jennings, and Sweetwater/Encanto). From 2015 to 2019, 317 plots were surveyed 8 times (twice per year in 2015, 2017–19). Additional plots were added in later years as wrens were discovered in new locations. We found differences in the proportion of plots occupied in the genetic clusters, with a lower proportion of plots occupied in the Otay cluster than in the Lake Jennings and Sweetwater/Encanto clusters in all years. Plot occupancy increased each year in the Otay and Sweetwater/Encanto clusters but not in the Lake Jennings cluster. The number of Cactus Wren territories increased from 2015 through 2018, and then decreased in 2019 in all three genetic clusters.</p><p>We monitored nesting activities for two populations of Cactus Wrens in southern San Diego County. The Otay population consisted of two sites within the Otay genetic cluster, and the San Diego population consisted of two sites within the Sweetwater/Encanto and Lake Jennings genetic clusters. Nest monitoring occurred at 10–13 territories per year in the Otay population and 14–18 territories in the San Diego population from 2015 through 2019. All territories were occupied by pairs except two territories in 2015, five in 2016, and two in 2019. Between 46 and 74 Cactus Wren nests were monitored each year, which totaled 295 monitored nests from 2015 to 2019. To evaluate the direct influence of precipitation on breeding success, bio-year precipitation (“precipitation”) was calculated from July 1 of the prior year through June 30 of the breeding season year. Overall apparent nest success was positively influenced by precipitation with the lowest apparent nest success of 50 percent in 2015 and the highest apparent nest success of 72 percent in 2017, corresponding to the second lowest and the highest precipitation years, respectively. Apparent nest success also was higher in the Otay population than in the San Diego population. The number of brood nests initiated per pair and the number of renesting attempts per pair also were higher in years with more precipitation. Other metrics of Cactus Wren nesting success and productivity were positively influenced by the amount of precipitation, including clutch size and egg hatching success. The percent of hatchlings that fledged was greater in the Otay population than in the San Diego population but was not influenced by precipitation. The number of fledglings per pair was higher in years with more precipitation and was greater in the Otay population than in the San Diego population. Predation was the predominant cause of nest failure in both populations.</p><p>Analysis of Cactus Wren daily nest survival rate indicated that there was a population, and possibly a precipitation effect on nest survival, with the daily survival rate for the Otay population significantly higher than for the San Diego population and weak increase in the daily survival rate with more precipitation.</p><p>A total of 629 Cactus Wrens were banded during the course of the study, 360 in the San Diego population and 269 in the Otay population. Between 2015 and 2019, we resighted 301 color-banded adult birds that ranged between 1 and 8 years old. One additional color-banded bird was resighted in San Pasqual Valley (as part of a separate study); this bird originated in the San Diego population and was excluded from our analyses.</p><p>Annual survival was higher for adult Cactus Wrens (ranging from 60 to 70 percent) than for first-year wrens (ranging from 20 to 28 percent) and varied by year. Annual survival was also weakly but positively correlated with precipitation. Annual survival was higher for first year and adult Cactus Wrens following years with increased precipitation. We found no evidence that survival differed by population.</p><p>Banding also allowed us to examine whether there were differences in movement of adult and first-year Cactus Wrens by year or by population. We found that average dispersal distance for first-year Cactus Wrens was 1.9 kilometers in the Otay population and 1.6 kilometers in the San Diego population and did not differ by population or year. Dispersal between populations was not common. We detected five instances of movement of first-year wrens between the San Diego and Otay populations. All movements into and out of the San Diego population were from or into territories in the Sweetwater area. We detected no movement between the Lake Jennings site and either of the Sweetwater or Otay sites; however, we did detect one wren that dispersed from Lake Jennings to the San Pasqual Valley population in 2019, which was a distance of 26.4 kilometers. Adult Cactus Wrens were site-faithful, with 87 percent of adults remaining on the same territory between breeding seasons. Precipitation may be a weak driver of movement for adult Cactus Wrens, with adults more likely to remain on the same territory following years of increased precipitation. There was no difference in adult movement between populations.</p><p>Arthropods were collected in pitfall traps and by vacuum in 23 Cactus Wren territories during 3 sampling periods in 2016 (early nesting, peak nesting, and late nesting). Arthropods of 19 orders and at least 128 families were collected. Analysis of 43 Cactus Wren fecal samples identified 10 arthropod orders that were present in more than 10 percent of fecal samples. The most abundant arthropod order collected was Hymenoptera; however, Cactus Wrens consumed arthropods in the order Hymenoptera significantly less than their availability, suggesting that this order was avoided. No other orders were significantly selected or avoided; however, selection indices of arthropod families identified that two families of arthropods (Isopoda Porcellionidae [woodlice] and Hymenoptera Formicidae [ants]) were avoided. After excluding the taxa that were avoided or not represented in fecal samples, 95 percent of Cactus Wren prey items were collected in pitfall traps and 5 percent were collected by vacuum. The most abundant prey orders captured were Diptera, Coleoptera, Hemiptera, Hymenoptera, and Aranea.</p><p>Analysis of the abundance of Cactus Wren prey items by vegetation type and sampling period indicated that vegetation type by itself was not a significant predictor of arthropod abundance but interacted with sampling period. Seasonal availability of arthropods was highest in the peak nesting period, followed by early and late nesting periods for California sagebrush (<i>Artemisia californica</i>), lemonadeberry (<i>Rhus integrifolia</i>), non-native grass, and bare ground, whereas availability increased from early to late nesting periods for blue elderberry (<i>Sambucus mexicana</i> spp. <i>caerulea</i>), cactus (<i>Opuntia</i> spp. and <i>Cylindropuntia</i> spp.), California buckwheat (<i>Eriogonum fasciculatum</i>), native bunch grasses, and black mustard (<i>Brassica nigra</i>). During the early nesting period, arthropods were most abundant in native bunch grasses and least abundant in lemonadeberry. During the peak nesting period, arthropods were most abundant in native bunch grasses and in areas of bare ground and were least abundant in cactus and blue elderberry. During late nesting, arthropods were most abundant in blue elderberry and non-native grass and least abundant in lemonadeberry and mustard.</p><p>Each year from 2015 to 2019, vegetation data were collected at the same 23 territories where arthropods were sampled: 9 territories in the Otay population and 14 territories in the San Diego population. Cactus, California buckwheat, and non-native grasses were detected within at least 60 percent of sampling points in the Otay population. Cactus, California sagebrush, California buckwheat, non-native grass, and black mustard each were detected within an average of 40 percent of sampling points in the San Diego population. No native bunch grass or lemonadeberry were recorded at the Lake Jennings site within the San Diego population. The cover of shrub species was relatively stable throughout the 5 years. Cover of herbaceous species and bare ground had greater annual variation than shrub species.</p><p>We found that vegetation cover varied widely among territories, with territory accounting for 69 percent of the variation in vegetation cover. Redundancy analysis allowed us to identify the vegetation types that accounted for the most variation. We used the top scores from the redundancy analysis to identify six vegetation types to be used in generalized linear mixed models analyzing the relationships between vegetation type, precipitation, and Cactus Wren breeding productivity. Three vegetation variables influenced the number of fledglings produced per pair. California sagebrush had a positive effect on the number of fledglings per pair whereas non-native grass and black mustard had a negative effect.</p><p>Breeding productivity, survival, and movements of adult and first-year Cactus Wrens indicated that the Otay population behaved similarly to, if not out-performed, the San Diego population during the span of our project, suggesting that the driving forces behind low numbers of Cactus Wrens in the Otay population before 2015 were no longer in effect. The Cactus Wren populations in Otay and San Diego reached a peak in 2018, which followed a year of high productivity and survivorship, both of which were correlated with high precipitation. This peak in population size was consistent with reproductive timing and productivity in other bird populations in semi-arid ecosystems that were linked to precipitation and arthropod abundance. We did not find a strong link among arthropod abundance, vegetation composition, and Cactus Wren breeding productivity, likely in part because arthropod abundance varied by vegetation type and sampling period, suggesting that different vegetation types provided important sources of prey at different periods of the breeding season. Arthropod abundance also may not represent arthropod availability when vegetation structure discourages the ground foraging behavior of species such as Cactus Wrens. Cover of non-native grass negatively influenced breeding productivity, although arthropods were abundant in non-native grass. Other factors that could have influenced differential breeding productivity between the Otay and San Diego populations were habitat restoration, control of annual herbaceous vegetation, human disturbance, lingering effects of wildfire, and nest predation. Overall, precipitation appeared to be a driver of Cactus Wren breeding productivity and possibly survival, potentially obscuring proximate effects of arthropod or vegetation composition.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221044","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Lynn, S., Houston, A., and Kus, B.E., 2022, Distribution and demography of Coastal Cactus Wrens in Southern California, 2015–19: U.S. Geological Survey Open-File Report 2022-1044, 44 p., https://doi.org/10.3133/ofr20221044.","productDescription":"Report: ix, 44 p.; Data Release","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-136839","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":435711,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P143ZTB2","text":"USGS data release","linkHelpText":"Cactus Wren Invertebrate Diet Derived from Sequencing of Nestling Fecal Samples in San Diego County, California"},{"id":405951,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20221044/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Open-File Report 2022-1044"},{"id":405841,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1044/images"},{"id":405840,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1044/ofr20221044.xml"},{"id":405839,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1044/ofr20221044.pdf","text":"Report","size":"4 MB"},{"id":405838,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1044/covrthb.jpg"},{"id":405842,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76H4FK5","text":"Surveys and Monitoring of Coastal Cactus Wren in Southern San Diego County","description":"Kus, B.E., and Lynn, S., 2022, Surveys and monitoring of Coastal Cactus Wren in southern San Diego County: U.S. Geological Survey data release, https://doi.org/10.5066/F76H4FK5."}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.3065185546875,\n              32.52365781569917\n            ],\n            [\n              -116.630859375,\n              32.52365781569917\n            ],\n            [\n              -116.630859375,\n              32.983324091837474\n            ],\n            [\n              -117.3065185546875,\n              32.983324091837474\n            ],\n            [\n              -117.3065185546875,\n              32.52365781569917\n            ]\n          ]\n        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suellen_lynn@usgs.gov","orcid":"https://orcid.org/0000-0003-1543-0209","contributorId":3843,"corporation":false,"usgs":true,"family":"Lynn","given":"Suellen","email":"suellen_lynn@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":850162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houston, Alexandra 0000-0002-8599-8265 ahouston@usgs.gov","orcid":"https://orcid.org/0000-0002-8599-8265","contributorId":139460,"corporation":false,"usgs":true,"family":"Houston","given":"Alexandra","email":"ahouston@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":850163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":850164,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70255150,"text":"70255150 - 2022 - Mortality associated with extreme heat in Washington State: The historical and projected public health burden","interactions":[],"lastModifiedDate":"2024-06-14T16:44:42.085672","indexId":"70255150","displayToPublicDate":"2022-08-30T11:30:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5634,"text":"Atmosphere","active":true,"publicationSubtype":{"id":10}},"title":"Mortality associated with extreme heat in Washington State: The historical and projected public health burden","docAbstract":"<p><span>Extreme heat is one of the most important pathways illustrating the connection between climate and human health, and climate change is expected to exacerbate this public health issue. This study first used a case-crossover analysis to characterize the historical (1980–2018) association between summertime heat and non-traumatic mortality in Washington State. A separate analysis was conducted for each of the state’s ten climate divisions to produce distinct exposure–response curves expressing odds of mortality as a function of humidex. Stratified analyses were used to assess the impact of age, sex, race/ethnicity, and select causes of death, and the reported results are pooled across all divisions using meta-analysis. The historical heat–mortality relationship was combined with climate projections to estimate the impact of climate change on heat-related deaths in 2030, 2050, and 2080 under two warming scenarios. The odds ratio (OR) and 95% confidence intervals of mortality at the 99th percentile of humidex compared to the 50th percentile did not include the null value in four climate divisions (E Olympic Cascade Foothills, NE Olympic San Juan, Northeastern, and Puget Sound Lowlands). The statewide odds of mortality are 8% higher (6%, 10%) on 99th percentile days compared to 50th percentile days, driven primarily by an OR of 1.09 (1.06, 1.11) in the Puget Sound Lowlands. Risk is higher for women than men and for Blacks than Whites. Risk increases with age and for diabetic, circulatory, cardiovascular, ischemic, cerebrovascular, and respiratory deaths. The 95% confidence intervals of projected heat-attributable mortality did not overlap with zero in three climate divisions (E Olympic Cascade Foothills, NE Olympic San Juan, and Puget Sound Lowlands). In these three divisions, the average percent increase in heat-attributable mortality across both warming scenarios is 35%, 35%, and 603% in 2030, 2050, and 2080, respectively. This research is the most extensive study of heat-related mortality in Washington to date and can help inform public health initiatives aiming to improve present and future health outcomes in the state.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/atmos13091392","usgsCitation":"Arnold, L., Scheuerell, M.D., and Isaksen, T., 2022, Mortality associated with extreme heat in Washington State: The historical and projected public health burden: Atmosphere, v. 13, no. 9, 1392, 21 p., https://doi.org/10.3390/atmos13091392.","productDescription":"1392, 21 p.","ipdsId":"IP-144123","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":446610,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/atmos13091392","text":"Publisher Index Page"},{"id":430218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"13","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Arnold, Logan 0000-0001-8903-2735","orcid":"https://orcid.org/0000-0001-8903-2735","contributorId":339402,"corporation":false,"usgs":false,"family":"Arnold","given":"Logan","email":"","affiliations":[],"preferred":false,"id":903609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scheuerell, Mark David 0000-0002-8284-1254","orcid":"https://orcid.org/0000-0002-8284-1254","contributorId":288621,"corporation":false,"usgs":true,"family":"Scheuerell","given":"Mark","email":"","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Isaksen, T.B.","contributorId":338790,"corporation":false,"usgs":false,"family":"Isaksen","given":"T.B.","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":903611,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70256655,"text":"70256655 - 2022 - Fish diversity reduction and assemblage structure homogenization in lakes: A case study on unselective fishing in China","interactions":[],"lastModifiedDate":"2024-08-29T15:21:32.81071","indexId":"70256655","displayToPublicDate":"2022-08-29T10:14:01","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17103,"text":"Water Biology and Security","active":true,"publicationSubtype":{"id":10}},"title":"Fish diversity reduction and assemblage structure homogenization in lakes: A case study on unselective fishing in China","docAbstract":"<p><span>Unselective fishing involves activities that target the entire assemblage rather than specific fish species, size classes, or&nbsp;trophic levels. This common fishing approach has been in practice for decades in&nbsp;inland waters&nbsp;in China but its implications for biodiversity remain unclear. We addressed this issue by studying fish assemblages in freshwater lakes (five fishing lakes, one reference lake, and a total of 51 sampling sites) between pre- and post-fishing time-periods in Eastern China during 2017–2019. The effects of lake, fishing period, and their interactions on&nbsp;fish abundance, biomass, and diversity indices were assessed.&nbsp;</span>Multivariate analysis<span>&nbsp;was conducted to test for differences in fish assemblages among lakes and between fishing periods. After the implementation of fishing activities, significant reductions in fish species richness, abundance, biomass, and all three life-history strategies (opportunistic, equilibrium, and periodic) were observed in fishing lakes, whereas opposite trends were observed in the reference lake. Compositional similarity of fish assemblages among fishing lakes increased over the three-year monitoring period. Our results suggest that unselective fishing reduces fish diversity and homogenizes fish assemblage structure in lakes. These findings have important implications for protecting both biodiversity and fisheries in inland waters in China and are applicable to other countries or regions that rely on fish as a major food source.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watbs.2022.100055","usgsCitation":"Liu, H., Chen, Y., Gozlan, R., Qu, X., Xia, W., Cheng, F., Wang, L., Paukert, C.P., Olden, J., and Xie, S., 2022, Fish diversity reduction and assemblage structure homogenization in lakes: A case study on unselective fishing in China: Water Biology and Security, v. 1, 100055, 8 p., https://doi.org/10.1016/j.watbs.2022.100055.","productDescription":"100055, 8 p.","ipdsId":"IP-129830","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":446626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watbs.2022.100055","text":"Publisher Index Page"},{"id":433314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              115,\n              37\n            ],\n            [\n              115,\n              32\n            ],\n            [\n              122,\n              32\n            ],\n            [\n              122,\n              37\n            ],\n            [\n              115,\n              37\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, Han","contributorId":341500,"corporation":false,"usgs":false,"family":"Liu","given":"Han","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":908513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Yushun","contributorId":341501,"corporation":false,"usgs":false,"family":"Chen","given":"Yushun","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":908514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gozlan, Rodolphe E.","contributorId":341502,"corporation":false,"usgs":false,"family":"Gozlan","given":"Rodolphe E.","affiliations":[{"id":81747,"text":"Université de Montpellier","active":true,"usgs":false}],"preferred":false,"id":908515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qu, Xiao","contributorId":341503,"corporation":false,"usgs":false,"family":"Qu","given":"Xiao","email":"","affiliations":[{"id":27775,"text":"University of Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":908516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xia, Wentong","contributorId":341504,"corporation":false,"usgs":false,"family":"Xia","given":"Wentong","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":908517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cheng, Fei","contributorId":341505,"corporation":false,"usgs":false,"family":"Cheng","given":"Fei","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":908518,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Lizhu","contributorId":341506,"corporation":false,"usgs":false,"family":"Wang","given":"Lizhu","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":908519,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":908520,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Olden, Julian D.","contributorId":341507,"corporation":false,"usgs":false,"family":"Olden","given":"Julian D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":908521,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Xie, Songguang","contributorId":341508,"corporation":false,"usgs":false,"family":"Xie","given":"Songguang","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":908522,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70236340,"text":"70236340 - 2022 - A recombinant rabies vaccine that prevents viral shedding in rabid common vampire bats (Desmodus rotundus)","interactions":[],"lastModifiedDate":"2022-09-02T15:08:19.916429","indexId":"70236340","displayToPublicDate":"2022-08-26T10:03:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5023,"text":"PLoS Neglected Tropical Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A recombinant rabies vaccine that prevents viral shedding in rabid common vampire bats (<i>Desmodus rotundus</i>)","title":"A recombinant rabies vaccine that prevents viral shedding in rabid common vampire bats (Desmodus rotundus)","docAbstract":"<p><span>Vampire bat transmitted rabies (VBR) is a continuing burden to public health and agricultural sectors in Latin America, despite decades-long efforts to control the disease by culling bat populations. Culling has been shown to disperse bats, leading to an increased spread of rabies. Thus, non-lethal strategies to control VBR, such as vaccination, are desired. Here, we evaluated the safety and efficacy of a viral-vectored recombinant mosaic glycoprotein rabies vaccine candidate (RCN-MoG) in vampire bats (</span><i>Desmodus rotundus</i><span>) of unknown history of rabies exposure captured in México and transported to the United States. Vaccination with RCN-MoG was demonstrated to be safe, even in pregnant females, as no evidence of lesions or adverse effects were observed. We detected rabies neutralizing antibodies in 28% (8/29) of seronegative bats post-vaccination. Survival proportions of adult bats after rabies virus (RABV) challenge ranged from 55–100% and were not significantly different among treatments, pre- or post-vaccination serostatus, and route of vaccination, while eight pups (1–2.5 months of age) used as naïve controls all succumbed to challenge (P&lt;0.0001). Importantly, we found that vaccination with RCN-MoG appeared to block viral shedding, even when infection proved lethal. Using real-time PCR, we did not detect RABV nucleic acid in the saliva samples of 9/10 vaccinated bats that succumbed to rabies after challenge (one was inconclusive). In contrast, RABV nucleic acid was detected in saliva samples from 71% of unvaccinated bats (10/14 sampled, plus one inconclusive) that died of the disease, including pups. Low seroconversion rates post-vaccination and high survival of non-vaccinated bats, perhaps due to earlier natural exposure, limited our conclusions regarding vaccine efficacy. However, our findings suggest a potential transmission-blocking effect of vaccination with RCN-MoG that could provide a promising strategy for controlling VBR in Latin America beyond longstanding culling programs.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pntd.0010699","usgsCitation":"Cardenas-Canales, E.M., Velasco-Villa, A., Ellison, J.A., Satheshkumar, P., Osario, J.E., and Rocke, T.E., 2022, A recombinant rabies vaccine that prevents viral shedding in rabid common vampire bats (Desmodus rotundus): PLoS Neglected Tropical Diseases, v. 16, no. 8, e0010699, 21 p., https://doi.org/10.1371/journal.pntd.0010699.","productDescription":"e0010699, 21 p.","ipdsId":"IP-142109","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":446632,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pntd.0010699","text":"Publisher Index Page"},{"id":435713,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KNHW1P","text":"USGS data release","linkHelpText":"Serology, survival, and detection of rabies data from vaccination trials in the common vampire bat (Desmodus rotundus) using a recombinant raccoon poxvirus-vectored mosaic rabies vaccine candidate"},{"id":406143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","city":"San Luis Potosi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.173095703125,\n              21.963424936844223\n            ],\n            [\n              -100.799560546875,\n              21.963424936844223\n            ],\n            [\n              -100.799560546875,\n              22.334833457530486\n            ],\n            [\n              -101.173095703125,\n              22.334833457530486\n            ],\n            [\n              -101.173095703125,\n              21.963424936844223\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Cardenas-Canales, Elsa M.","contributorId":192489,"corporation":false,"usgs":false,"family":"Cardenas-Canales","given":"Elsa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":850658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velasco-Villa, Andres","contributorId":174760,"corporation":false,"usgs":false,"family":"Velasco-Villa","given":"Andres","email":"","affiliations":[{"id":16974,"text":"US Centers for Disease Control and Prevention (CDC)","active":true,"usgs":false}],"preferred":false,"id":850659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellison, James A.","contributorId":197066,"corporation":false,"usgs":false,"family":"Ellison","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":850660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Satheshkumar, Panayampalli  S.","contributorId":296099,"corporation":false,"usgs":false,"family":"Satheshkumar","given":"Panayampalli  S.","affiliations":[{"id":63980,"text":"Poxvirus and Rabies Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America","active":true,"usgs":false}],"preferred":false,"id":850661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osario, Jorge E.","contributorId":296100,"corporation":false,"usgs":false,"family":"Osario","given":"Jorge","email":"","middleInitial":"E.","affiliations":[{"id":63982,"text":"Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America","active":true,"usgs":false}],"preferred":false,"id":850662,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":850663,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}