{"pageNumber":"380","pageRowStart":"9475","pageSize":"25","recordCount":184652,"records":[{"id":70267234,"text":"70267234 - 2022 - Influences of seasonality and habitat quality on Great Lakes coastal wetland fish community composition and diets","interactions":[],"lastModifiedDate":"2025-05-19T15:08:02.013492","indexId":"70267234","displayToPublicDate":"2022-05-21T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21632,"text":"Wetland Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Influences of seasonality and habitat quality on Great Lakes coastal wetland fish community composition and diets","docAbstract":"<p><span>Great Lakes coastal wetlands (GLCW) have been severely degraded by anthropogenic activity over the last several decades despite their critical role in fish production. Many Great Lakes fish species use coastal wetland habitats for spawning, feeding, shelter, and nurseries throughout the year. The goal of our study was to compare GLCW fish community composition in the spring, summer, and fall months and investigate how water quality relates to fish diversity, the presence of functional groups, and juvenile fish diets. We summarized fish data collected from GLCW across the basin and used the coastal wetland monitoring program’s water quality-land use indicator to quantify water quality. Basin-wide, we found taxonomic and functional group differences in community composition among three sampling seasons, as well as across the range of water quality. Water quality was positively associated with the abundance of small cyprinids and the relative abundance of some habitat and reproductive specialists. Seasonal differences were also observed for many of these functional groups, with more temperature- and pollution-sensitive fishes captured in the spring and more nest-spawning fishes captured in the summer and fall. In our diet study, we found that age-0 fish primarily consumed zooplankton in the fall, whereas age-1 fish primarily consumed macroinvertebrates in the spring. Moreover, wetland quality was positively associated with trichopteran prey abundance. We concluded that taxonomic and functional composition of fish communities in GLCW vary markedly with respect to water quality and season. Thus, a full understanding of communities across a gradient of quality requires multi-season sampling.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s11273-022-09862-8","usgsCitation":"Diller, S., Harrison, A., Kowalski, K., Brady, V., Ciborowski, J., Cooper, M.J., Dumke, J., Gathman, J., Ruetz, C., Uzarski, D.G., Wilcox, D., and Schaeffer, J., 2022, Influences of seasonality and habitat quality on Great Lakes coastal wetland fish community composition and diets: Wetland Ecology and Management, v. 30, p. 439-460, https://doi.org/10.1007/s11273-022-09862-8.","productDescription":"22 p.","startPage":"439","endPage":"460","ipdsId":"IP-133178","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":486155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.98042758143248,\n              48.00533202110063\n            ],\n            [\n              -92.4544017806511,\n              47.09186420788265\n            ],\n            [\n              -90.93931418529223,\n              46.82009820546638\n            ],\n            [\n              -88.15934346347329,\n              46.49921317133217\n            ],\n            [\n              -87.75820768115408,\n              41.72932138108676\n            ],\n            [\n              -81.47679465253952,\n              41.26802908107109\n            ],\n            [\n              -75.73140554858799,\n              43.76282170300337\n            ],\n            [\n              -82.16775874431909,\n              43.47029804432211\n            ],\n            [\n              -82.73294354635479,\n              45.83385483728805\n            ],\n            [\n              -87.90812366646838,\n              48.31652223525934\n            ],\n            [\n              -89.98042758143248,\n              48.00533202110063\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"30","noUsgsAuthors":false,"publicationDate":"2022-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Diller, Sara 0000-0003-1502-0074","orcid":"https://orcid.org/0000-0003-1502-0074","contributorId":223495,"corporation":false,"usgs":true,"family":"Diller","given":"Sara","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":937411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Anna M.","contributorId":355448,"corporation":false,"usgs":false,"family":"Harrison","given":"Anna M.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":937412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":937413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brady, Valerie J.","contributorId":355450,"corporation":false,"usgs":false,"family":"Brady","given":"Valerie J.","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":937414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ciborowski, Jan J.H.","contributorId":355452,"corporation":false,"usgs":false,"family":"Ciborowski","given":"Jan J.H.","affiliations":[{"id":48871,"text":"University of Windsor","active":true,"usgs":false}],"preferred":false,"id":937415,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cooper, Matthew J.","contributorId":211007,"corporation":false,"usgs":false,"family":"Cooper","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":38169,"text":"University of Southamton, UK","active":true,"usgs":false}],"preferred":false,"id":937416,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dumke, Joshua D.","contributorId":355453,"corporation":false,"usgs":false,"family":"Dumke","given":"Joshua D.","affiliations":[{"id":18006,"text":"University of Minnesota Duluth","active":true,"usgs":false}],"preferred":false,"id":937417,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gathman, Joseph P.","contributorId":172904,"corporation":false,"usgs":false,"family":"Gathman","given":"Joseph P.","affiliations":[],"preferred":false,"id":937418,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruetz, Carl R. III","contributorId":355456,"corporation":false,"usgs":false,"family":"Ruetz","given":"Carl R. III","affiliations":[{"id":15305,"text":"Grand Valley State University","active":true,"usgs":false}],"preferred":false,"id":937419,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Uzarski, Donald G.","contributorId":211821,"corporation":false,"usgs":false,"family":"Uzarski","given":"Donald","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":937420,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wilcox, Douglas A.","contributorId":244846,"corporation":false,"usgs":false,"family":"Wilcox","given":"Douglas A.","affiliations":[{"id":48999,"text":"Department of Environmental Science and Ecology, The College at Brockport – State University of New York, Brockport, NY","active":true,"usgs":false}],"preferred":false,"id":937421,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schaeffer, Jeffrey S","contributorId":355459,"corporation":false,"usgs":false,"family":"Schaeffer","given":"Jeffrey S","affiliations":[{"id":56209,"text":"Tennessee Tech University","active":true,"usgs":false}],"preferred":false,"id":937422,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70256691,"text":"70256691 - 2022 - Long-term assessments are critical to determining persistence and shoreline protection from oyster reef nature-based coastal defenses","interactions":[],"lastModifiedDate":"2024-08-02T13:36:28.334711","indexId":"70256691","displayToPublicDate":"2022-05-20T11:23:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Long-term assessments are critical to determining persistence and shoreline protection from oyster reef nature-based coastal defenses","docAbstract":"<p> <span>Nature-based coastal defense using bivalve reefs provides a potentially self-sustaining approach for regions facing high coastal land loss, relative&nbsp;sea level rise&nbsp;and increasing frequency and intensity of storms. Success of such nature-based coastal defense depends on the reef-building species' life history, habitat requirements, and ability to thrive through short-term and longer-term environmental variation, yet few projects have reported on outcomes beyond the first few years. In coastal Louisiana,&nbsp;USA,<i>&nbsp;</i></span><i><span>Crassostrea virginica</span></i><span><i>&nbsp;</i>(oyster) is an&nbsp;ecosystem engineer, creating self-sustaining, vertically accreting reefs that also provide ecosystem services. Here, we examine the short (&lt; 3&nbsp;years) and medium (&gt; 10&nbsp;years) term outcomes of experimental reefs constructed in 2009 for nature-based coastal defense in a Louisiana,&nbsp;USA&nbsp;estuarine lake. Oyster reef density, demography, along with adjacent salt marsh, and shoreline movement were compared at six fringing shoreline reefs and paired reference sites over the first three years post-construction (2009–2011), and a decade later (2019–2020). Oyster density measured in 2019–2020 (&lt; 60 ind m</span><sup>−2</sup><span>) was less than 10% of density measured during 2009–2011 (&gt; 1000 ind m</span><sup>−2</sup><span>). This density difference largely reflected a lack of new recruits and small oysters (&lt; 75&nbsp;mm shell height) in later samples, with adult oyster densities similar between 2011, 2019 and 2020. Lack of smaller oysters in recent sampling likely reflected the impact of multiple extended low&nbsp;salinity&nbsp;events in this region in recent years, including the record-breaking low&nbsp;salinity&nbsp;in 2019. No differences in shoreline characteristics were detected in marsh vegetation, soil properties or nutrient concentrations between reef and reference sites during early and later years. Similarly, shoreline erosion at both reef and reference sites immediately post-construction, and 10&nbsp;years later, was high (~1&nbsp;m y</span><sup>−1</sup><span>) indicating a lack of shoreline protection from these reefs. These findings highlight the need to consider both current and future conditions, including the effect of extreme years, when implementing nature-based coastal defense. On the other hand, the persistence of reproductive-sized oysters on the reef 10&nbsp;years post creation, indicate reef resilience and potential for reef development and shoreline benefits, should better site conditions return in future years. Determining restoration success within variable and dynamic environments requires frequent monitoring which is required to understand responses to short and longer-term environmental variation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2022.106603","usgsCitation":"La Peyre, M., Leblanc Buie, S.C., Rossi, R., and Roberts, B.J., 2022, Long-term assessments are critical to determining persistence and shoreline protection from oyster reef nature-based coastal defenses: Ecological Engineering, v. 178, 106603, 11 p., https://doi.org/10.1016/j.ecoleng.2022.106603.","productDescription":"106603, 11 p.","ipdsId":"IP-134425","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432046,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Sister Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.00387573242188,\n              29.161455709145933\n            ],\n            [\n              -90.80680847167969,\n              29.161455709145933\n            ],\n            [\n              -90.80680847167969,\n              29.280110436303417\n            ],\n            [\n              -91.00387573242188,\n              29.280110436303417\n            ],\n            [\n              -91.00387573242188,\n              29.161455709145933\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"178","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leblanc Buie, Sarah Catherine","contributorId":341595,"corporation":false,"usgs":false,"family":"Leblanc Buie","given":"Sarah","email":"","middleInitial":"Catherine","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":908669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rossi, Ryann","contributorId":341596,"corporation":false,"usgs":false,"family":"Rossi","given":"Ryann","email":"","affiliations":[{"id":12699,"text":"Louisiana Universities Marine Consortium","active":true,"usgs":false}],"preferred":false,"id":908670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, Brian J.","contributorId":341597,"corporation":false,"usgs":false,"family":"Roberts","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":12699,"text":"Louisiana Universities Marine Consortium","active":true,"usgs":false}],"preferred":false,"id":908671,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70254233,"text":"70254233 - 2022 - The protectiveness of aquatic life criteria for threatened or endangered aquatic species: Cadmium in California","interactions":[],"lastModifiedDate":"2024-05-14T14:29:04.843582","indexId":"70254233","displayToPublicDate":"2022-05-20T10:28:28","publicationYear":"2022","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":17779,"text":"OSF Preprints","active":true,"publicationSubtype":{"id":32}},"title":"The protectiveness of aquatic life criteria for threatened or endangered aquatic species: Cadmium in California","docAbstract":"<p>In the United States, conflicts can arise between the processes to derive aquatic life criteria (ALC) for chemicals under the Clean Water Act (CWA) and the evaluation procedures used in Endangered Species Act (ESA) consultations on the protectiveness of those criteria for protected species. This paper examines the roots of, and possible reconciliation of, one longstanding conflict over cadmium aquatic life criteria in California. This case study includes 1) an overview of occurrences of cadmium in the aquatic environment, 2) factors affecting toxicity of cadmium to aquatic life, 3) a contrast between the analytical procedures of CWA aquatic life criteria derivation and ESA consultation, 4) quantitative estimates of no-effect concentrations of cadmium for 44 ESA listed species in comparison with updated aquatic life criteria, and 5) concludes with suggestions to update California’s aquatic life criteria for cadmium that would be more protective of sensitive ESA listed species. </p><p>A root cause of conflict is the different levels of biological organization that are the focus of CWA and ESA procedures. The CWA ALC are intended to protect diverse ecosystems by protecting at least 95% of the species richness in communities, allowing that it is acceptable for some species in the residual most sensitive 5% of the community richness to be harmed or even locally extirpated so long as they are not societally important species. The ESA is charged with minimizing harm to individual organisms and disallows increasing risk of extinction or impeding recovery of protected species. With cadmium in California, these procedures converge because some of the most sensitive species to cadmium happen to be surrogates for protected species (acute responses of steelhead/rainbow trout, <i>Oncorhynchus mykiss</i>, and chronic responses of threespine stickleback, <i>Gasterosteus aculeatus</i>). The present review concludes that while the superseded 1996 cadmium criteria versions would not be fully protective for up to half of the 44 ESA listed aquatic species in California, the updated 2016 versions would be more protective. Still, the review shows that the updated acute criteria would only fully protect the less sensitive half of the distribution of data for steelhead/rainbow trout sensitivity to cadmium, and the chronic criterion still would not protect the listed threespine stickleback. With a data rich species such as rainbow trout, instead of defining acute criteria using a central tendency statistic such as the geometric mean of multiple test responses, using a lower statistic such as the 10th percentile would ensure that the vast majority of a sensitive, protected species (and all less sensitive species) would be protected. Available data for the stickleback indicate it may be highly sensitive to cadmium, but no threshold can be derived from existing data. Additional testing with cadmium and stickleback would be needed to suggest an alternative, quantitative approach.</p>","language":"English","publisher":"OSF Preprints","doi":"10.31219/osf.io/d3tpe","usgsCitation":"Mebane, C.A., 2022, The protectiveness of aquatic life criteria for threatened or endangered aquatic species: Cadmium in California: OSF Preprints, https://doi.org/10.31219/osf.io/d3tpe.","productDescription":"44 p.","numberOfPages":"44","ipdsId":"IP-137876","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":447697,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.31219/osf.io/d3tpe","text":"External Repository"},{"id":428689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":900691,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70231754,"text":"70231754 - 2022 - A critical review of bioaccumulation and biotransformation of organic chemicals in birds","interactions":[],"lastModifiedDate":"2022-05-25T15:29:48.479448","indexId":"70231754","displayToPublicDate":"2022-05-20T10:20:01","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5344,"text":"Reviews of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"A critical review of bioaccumulation and biotransformation of organic chemicals in birds","docAbstract":"<p><span>A literature review of bioaccumulation and biotransformation of organic chemicals in birds was undertaken, aiming to support scoping and prioritization of future research. The objectives were to characterize available bioaccumulation/biotransformation data, identify knowledge gaps, determine how extant data can be used, and explore the strategy and steps forward. An intermediate approach balanced between expediency and rigor was taken given the vastness of the literature. Following a critical review of &gt; 500 peer-reviewed studies, &gt; 25,000 data entries and 2 million information bytes were compiled on &gt; 700 organic compounds for ~ 320 wild species and 60 domestic breeds of birds. These data were organized into themed databases on&nbsp;</span><i>bioaccumulation and biotransformation</i><span>,&nbsp;</span><i>field survey</i><span>,&nbsp;</span><i>microsomal enzyme activity</i><span>,&nbsp;</span><i>metabolic pathway</i><span>, and&nbsp;</span><i>bird taxonomy and diet</i><span>. Significant data gaps were identified in all databases at multiple levels. Biotransformation characterization was largely fragmented over metabolite/pathway identification and characterization of enzyme activity or biotransformation kinetics. Limited biotransformation kinetic data constrained development of an avian biotransformation model. A substantial shortage of in vivo biotransformation kinetics has been observed as most reported rate constants were derived in vitro. No metric comprehensively captured all key contaminant classes or chemical groups to support broad-scope modeling of bioaccumulation or biotransformation. However, metrics such as biota-feed accumulation factor, maximum transfer factor, and total elimination rate constant were more readily usable for modeling or benchmarking than other reviewed parameters. Analysis demonstrated the lack of bioaccumulation/biotransformation characterization of shorebirds, seabirds, and raptors. In the study of bioaccumulation and biotransformation of organic chemicals in birds, this review revealed the need for greater chemical and avian species diversity, chemical measurements in environmental media, basic biometrics and exposure conditions, multiple tissues/matrices sampling, and further exploration on biotransformation. Limitations of classical bioaccumulation metrics and current research strategies used in bird studies were also discussed. Forward-looking research strategies were proposed: adopting a chemical roadmap for future investigations, integrating existing biomonitoring data, gap-filling with non-testing approaches, improving data reporting practices, expanding field sampling scopes, bridging existing models and theories, exploring biotransformation via avian genomics, and establishing an online data repository.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s44169-021-00007-1","usgsCitation":"Kuo, D.T., Rattner, B.A., Marteinson, S.C., Letcher, R.J., Fernie, K.J., Treu, G., Deutsch, M., Johnson, M.S., Deglin, S., and Embry, M., 2022, A critical review of bioaccumulation and biotransformation of organic chemicals in birds: Reviews of Environmental Contamination and Toxicology, v. 260, 6, 22 p., https://doi.org/10.1007/s44169-021-00007-1.","productDescription":"6, 22 p.","ipdsId":"IP-125200","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":447701,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s44169-021-00007-1","text":"Publisher Index Page"},{"id":401051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"260","noUsgsAuthors":false,"publicationDate":"2022-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Kuo, Dave T. F.","contributorId":292043,"corporation":false,"usgs":false,"family":"Kuo","given":"Dave","email":"","middleInitial":"T. F.","affiliations":[{"id":62810,"text":"City University of Hong Kong","active":true,"usgs":false}],"preferred":false,"id":843691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":843713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marteinson, Sarah C.","contributorId":292044,"corporation":false,"usgs":false,"family":"Marteinson","given":"Sarah","email":"","middleInitial":"C.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":843714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Letcher, Robert J.","contributorId":176209,"corporation":false,"usgs":false,"family":"Letcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":843715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":843716,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Treu, Gabriele","contributorId":218385,"corporation":false,"usgs":false,"family":"Treu","given":"Gabriele","email":"","affiliations":[{"id":39836,"text":"Leibniz Institute for Zoo and Wildlife Research","active":true,"usgs":false}],"preferred":false,"id":843717,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Deutsch, Markus","contributorId":292048,"corporation":false,"usgs":false,"family":"Deutsch","given":"Markus","email":"","affiliations":[{"id":62812,"text":"Umweltbundesamt","active":true,"usgs":false}],"preferred":false,"id":843718,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Mark S.","contributorId":86058,"corporation":false,"usgs":true,"family":"Johnson","given":"Mark","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":843719,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Deglin, Sandrine","contributorId":292050,"corporation":false,"usgs":false,"family":"Deglin","given":"Sandrine","email":"","affiliations":[{"id":62814,"text":"Health and Environmental Science Institutue","active":true,"usgs":false}],"preferred":false,"id":843720,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Embry, Michelle","contributorId":176356,"corporation":false,"usgs":false,"family":"Embry","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":843721,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70257011,"text":"70257011 - 2022 - Effects of prescribed fire on prenesting movements of wild turkeys in Arkansas","interactions":[],"lastModifiedDate":"2024-09-05T15:36:51.76754","indexId":"70257011","displayToPublicDate":"2022-05-20T10:17:30","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":"Effects of prescribed fire on prenesting movements of wild turkeys in Arkansas","docAbstract":"<p><span>The restoration of historic disturbance regimes is an increasingly common management strategy to conserve disturbance-dependent communities and species, and enhance resilience of ecosystems to climate change or plant and animal invasions. However, the reintroduction of frequent and wide-scale disturbance may have unexpected consequences on species that are accustomed to an environment absent of frequent disturbance. Implementation of frequent prescribed fire for community restoration has coincided with population declines of eastern wild turkeys (</span><i>Meleagris gallopavo silvestris</i><span>) in the Ozark Highlands of Arkansas. We investigated whether there was evidence of linkage between wild turkey movement behavior and habitat use and the widespread use of prescribed fire that began in 2002 and continued through the end of our study in 2013. We fitted 67 female wild turkeys with satellite transmitters in 2012 and 2013 on the White Rock Ecosystem Restoration Area to estimate annual and seasonal home ranges and examine pre-nesting habitat use at multiple spatial scales. Home range was larger for adults in 2013 (4,750 ha, SE = 946.2,&nbsp;</span><i>n</i><span> = 12) than in 2012 (2,703 ha, SE = 283.4,&nbsp;</span><i>n</i><span> = 19). Mean pre-nesting ranges for adults were 1,633 ha (SE = 238.9,&nbsp;</span><i>n</i><span> = 23) in 2012 and 1,118 ha (SE = 158.8,&nbsp;</span><i>n</i><span> = 18) in 2013, smaller than those of sub-adults, 1,761 ha (SE = 581.2,&nbsp;</span><i>n</i><span> = 3) in 2012 and 5,576 ha (SE = 2260,&nbsp;</span><i>n</i><span> = 8) in 2013. Habitat selection analyses for the pre-nesting period indicated that wild turkeys used locations with more variability in canopy cover and vegetation height and in smaller patch sizes than expected based on availability. However, female wild turkeys selected nesting cover that had more variability in canopy cover and vegetation height but in larger patches. Differences in sub-adults and adult home and seasonal ranges suggest that other factors such as density dependence or social hierarchy could be driving movements as opposed to prescribed fire application. Wild turkey females selected variable vegetation structure during the pre-nesting and nesting periods with characteristics that could be a result of frequent prescribed fire or forest succession. However, we documented no direct evidence these characteristics or other aspects of the prescribed fire program were causing wild turkey population declines.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1264","usgsCitation":"Pittman, H., and Krementz, D.G., 2022, Effects of prescribed fire on prenesting movements of wild turkeys in Arkansas: Wildlife Society Bulletin, v. 46, no. 2, e1264, 14 p., https://doi.org/10.1002/wsb.1264.","productDescription":"e1264, 14 p.","ipdsId":"IP-077113","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Boston Mountain Ranger District of the Ozark‐St. Francis, National Forest, White Rock Ecosystem Restoration Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.15913371190965,\n              35.85873194814944\n            ],\n            [\n              -94.15913371190965,\n              35.46671910080133\n            ],\n            [\n              -93.6126286148777,\n              35.46671910080133\n            ],\n            [\n              -93.6126286148777,\n              35.85873194814944\n            ],\n            [\n              -94.15913371190965,\n              35.85873194814944\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"46","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Pittman, H.T.","contributorId":341911,"corporation":false,"usgs":false,"family":"Pittman","given":"H.T.","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":909138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":909137,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70231755,"text":"70231755 - 2022 - Assessing climate change impacts on Pacific salmon using bioenergetics and spatiotemporal explicit river temperature predictions under varying riparian conditions","interactions":[],"lastModifiedDate":"2022-05-25T15:00:58.75195","indexId":"70231755","displayToPublicDate":"2022-05-20T09:56:36","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":"Assessing climate change impacts on Pacific salmon using bioenergetics and spatiotemporal explicit river temperature predictions under varying riparian conditions","docAbstract":"<p><span>Pacific salmon and trout populations are affected by timber harvest, the removal and alteration of riparian vegetation, and the resulting physical changes to water quality, temperature, and associated delivery of high-quality terrestrial prey. Juvenile salmon and trout growth, a key predictor of survival, is poorly understood in the context of current and future (climate-change mediated) conditions, with resource managers needing information on how land use will impact future river conditions for these commercially and culturally important species. We used the Heat Source water temperature modeling framework to develop a spatiotemporal model to assess how riparian canopy and vegetation preservation and addition could influence river temperatures under future climate predictions in a coastal river fed by a moraine-dammed lake: the Quinault River in Washington State. The model predicted higher water temperatures under future carbon emission projections, representative concentration pathway (RCP) 4.5 and 8.5, with varying magnitude based on different riparian vegetation scenarios. We used the daily average temperature output from these scenarios to predict potential juvenile fish growth using the Wisconsin bioenergetics model. A combination of riparian vegetation removal and continued high carbon emissions resulted in a predicted seven-day average daily maximum temperature (7DADM) increase of 1.7°C in the lower river by 2080; increases in riparian shading mitigate this 7DADM increase to only 0.9°C. Under the current thermal regime, bioenergetics modeling predicts juvenile fish lose weight in the lower river; this loss of potential growth worsens by an average of 20–83% in the lower river by 2080, increasing with the loss of riparian shading. This study assess the impact of riparian vegetation management on future thermal habitat for Pacific salmon and trout under warming climates and provide a useful spatially explicit modeling framework that managers can use to make decisions regarding riparian vegetation management and its mechanistic impact to water temperature and rearing juvenile fish.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0266871","usgsCitation":"Spanjer, A.R., Gendaszek, A.S., Wulfkuhle, E.J., Black, R.W., and Jaeger, K.L., 2022, Assessing climate change impacts on Pacific salmon using bioenergetics and spatiotemporal explicit river temperature predictions under varying riparian conditions: PLoS ONE, v. 17, no. 5, e0266871, 25 p., https://doi.org/10.1371/journal.pone.0266871.","productDescription":"e0266871, 25 p.","ipdsId":"IP-119800","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":447705,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0266871","text":"Publisher Index Page"},{"id":435843,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XGI6GS","text":"USGS data release","linkHelpText":"Quinault River water temperature and salmon bioenergetics model data"},{"id":435842,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GSX4QE","text":"USGS data release","linkHelpText":"Water temperature and riparian vegetation survey data for the lower Quinault River, WA for select periods in 2018 and 2019"},{"id":401045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Lake Quinault, Quinault River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.31854248046875,\n              47.292270864380086\n            ],\n            [\n              -123.82553100585936,\n              47.292270864380086\n            ],\n            [\n              -123.82553100585936,\n              47.50421439972969\n            ],\n            [\n              -124.31854248046875,\n              47.50421439972969\n            ],\n            [\n              -124.31854248046875,\n              47.292270864380086\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Spanjer, Andrew R. 0000-0002-7288-2722 aspanjer@usgs.gov","orcid":"https://orcid.org/0000-0002-7288-2722","contributorId":150395,"corporation":false,"usgs":true,"family":"Spanjer","given":"Andrew","email":"aspanjer@usgs.gov","middleInitial":"R.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wulfkuhle, Elyse J.","contributorId":207132,"corporation":false,"usgs":false,"family":"Wulfkuhle","given":"Elyse","email":"","middleInitial":"J.","affiliations":[{"id":37427,"text":"Quinault Indian Tribe","active":true,"usgs":false}],"preferred":false,"id":843703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaeger, Kristin L. 0000-0002-1209-8506","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":206935,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843705,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231812,"text":"70231812 - 2022 - Nearshore bathymetric changes along the Alaska Beaufort Sea coast and possible physical drivers","interactions":[],"lastModifiedDate":"2022-05-27T13:29:13.252547","indexId":"70231812","displayToPublicDate":"2022-05-20T08:24:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Nearshore bathymetric changes along the Alaska Beaufort Sea coast and possible physical drivers","docAbstract":"<p><span>Erosion rates&nbsp;along Alaska's Beaufort Sea coast, among the highest in the world, are negatively impacting communities, industrial and military infrastructure, and wildlife habitat. Decreasing maximal winter ice extent and increasing summer open water duration and extent in the Beaufort Sea may be making the coast more vulnerable to destructive storm waves than during recent, colder, icier decades. Previous studies of Beaufort Sea coastal change have been limited to subaerial analyses of the&nbsp;shoreline. Here we describe nearshore seafloor change by comparing post-World War II (WWII) (1945-53)&nbsp;bathymetry&nbsp;data to recently acquired (1985–2018) bathymetry data and relate the observed seafloor change to adjacent shoreline change near Utqiagvik, within Stefansson Sound, and immediately west of Barter Island and Kaktovik. Within the Utqiagvik region,&nbsp;seabed&nbsp;erosion was generally highest (&gt;1.0&nbsp;m of loss) offshore of Point&nbsp;Barrow&nbsp;and along the eastern end of the Tapkaluk Islands, while there were lesser amounts of deposition (&lt;0.5&nbsp;m of gain) within the protected waters of Elson&nbsp;Lagoon. Sedimentation was generally highest offshore of Point Barrow, in a region of converging currents, and on the landward side of the barrier islands and spits fronting Elson Lagoon, which is likely related to a regional trend of westerly&nbsp;sediment transport&nbsp;and landward migration of the barrier islands. Within Stefansson Sound, perhaps the most notable changes from post-WWII bathymetry data compared to recent data are a switch from mixed, low erosion and deposition in 1997 to low deposition (&lt;0.5&nbsp;m) in 2018 east of the Boulder Patch, a switch from low erosion in 1997 to neutral depth change in 2018 in the channel between the north and south Boulder Patch areas, and higher deposition from 1997 to 2018 landward of the rapidly retreating barrier islands along the Sound's northern border. At Barter Island, high erosion near north-facing shorelines and high deposition near west-facing shorelines generally matched shoreline changes. One of our goals is to identify possible processes responsible for the depth changes we quantified. Using simple metrics that relate sediment characteristics with modeled waves and non-wave induced currents, we show that sediment&nbsp;</span>resuspension<span>&nbsp;and transport by both wave and non-wave driven currents likely contribute to the overall patterns of change within the ∼13&nbsp;m isobath along the open coast, and that the influence of wave action affecting sediment transport is expanding seaward.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2022.104745","usgsCitation":"Zimmermann, M., Erikson, L.H., Gibbs, A.E., Prescott, M., Escarzaga, S.M., Tweedie, C.E., Kasper, J., and Duvoy, P.X., 2022, Nearshore bathymetric changes along the Alaska Beaufort Sea coast and possible physical drivers: Continental Shelf Research, v. 242, 104745, 15 p., https://doi.org/10.1016/j.csr.2022.104745.","productDescription":"104745, 15 p.","ipdsId":"IP-132441","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":447707,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.csr.2022.104745","text":"Publisher Index Page"},{"id":401293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -164.00390625,\n              69.33383491964828\n            ],\n            [\n              -140.9326171875,\n              69.33383491964828\n            ],\n            [\n              -140.9326171875,\n              72.39570570653261\n            ],\n            [\n              -164.00390625,\n              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Center","active":true,"usgs":true}],"preferred":true,"id":843889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibbs, Ann E. 0000-0002-0883-3774 agibbs@usgs.gov","orcid":"https://orcid.org/0000-0002-0883-3774","contributorId":2644,"corporation":false,"usgs":true,"family":"Gibbs","given":"Ann","email":"agibbs@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":843890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prescott, Megan M.","contributorId":292137,"corporation":false,"usgs":false,"family":"Prescott","given":"Megan M.","affiliations":[{"id":62835,"text":"Lynker Technologies, Under contract to Alaska Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":843891,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Escarzaga, Stephen M.","contributorId":279732,"corporation":false,"usgs":false,"family":"Escarzaga","given":"Stephen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":843892,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tweedie, Craig E.","contributorId":200176,"corporation":false,"usgs":false,"family":"Tweedie","given":"Craig","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":843893,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kasper, Jeremy L. 0000-0003-0975-6114","orcid":"https://orcid.org/0000-0003-0975-6114","contributorId":208630,"corporation":false,"usgs":false,"family":"Kasper","given":"Jeremy L.","affiliations":[{"id":37850,"text":"University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":843894,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duvoy, Paul X.","contributorId":292138,"corporation":false,"usgs":false,"family":"Duvoy","given":"Paul","email":"","middleInitial":"X.","affiliations":[{"id":62836,"text":"Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, AK, USA","active":true,"usgs":false}],"preferred":false,"id":843895,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70233420,"text":"70233420 - 2022 - Comparison of indices to infer population dynamics of black brant","interactions":[],"lastModifiedDate":"2023-01-18T15:57:57.880082","indexId":"70233420","displayToPublicDate":"2022-05-20T07:54:12","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of indices to infer population dynamics of black brant","docAbstract":"<div id=\"14399020\" class=\"article-section-wrapper js-article-section js-content-section  \"><p><span>To aid managers in assessing status of Pacific black brant&nbsp;</span><i>Branta bernicla nigricans</i><span>&nbsp;(hereafter brant), I examined pre-existing long-term data series from summer, fall staging, and wintering areas to infer overall population processes and assessed the utility of the various data sources. Variation in demographic parameters measured in subarctic and Arctic locations suggests some form of metapopulation structure likely exists for brant. I used serial autocorrelation coefficients to assess the ability of various indices to track population processes. Based on this approach, the Lincoln–Petersen estimator and the fall aerial survey estimate partitioned using age ratios of staging brant at Izembek Lagoon, Alaska, appear to be the best indicators. However, these two indexes show different trends for the overall brant population. The Lincoln–Petersen estimates showed biologically implausible changes in size among sequential years, whereas the fall Izembek index did not. Annual estimates of survival and productivity fit the patterns of annual variation in the fall Izembek index better than the Lincoln–Petersen estimates. I conclude that the fall age–partitioned Izembek Lagoon index appears to be the best for tracking population processes in brant.</span></p></div>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/JFWM-21-088","usgsCitation":"Flint, P.L., 2022, Comparison of indices to infer population dynamics of black brant: Journal of Fish and Wildlife Management, v. 13, no. 2, p. 344-358, https://doi.org/10.3996/JFWM-21-088.","productDescription":"15 p.","startPage":"344","endPage":"358","ipdsId":"IP-101537","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":447710,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-21-088","text":"Publisher Index Page"},{"id":404109,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":847053,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70231681,"text":"70231681 - 2022 - Fish ear stones offer climate change clues in Alaska's lakes","interactions":[],"lastModifiedDate":"2022-05-20T11:52:34.690861","indexId":"70231681","displayToPublicDate":"2022-05-20T06:50:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9348,"text":"Frontiers for Young Minds","active":true,"publicationSubtype":{"id":10}},"title":"Fish ear stones offer climate change clues in Alaska's lakes","docAbstract":"<div class=\"abstract\"><p>Otoliths, also known as ear stones, are small body parts that help fish with hearing and balance. Like tree rings, otoliths form one light and one dark band per year, creating rings. These rings can be measured to understand fish growth. The wider the ring, the greater the growth. In our study, we used otoliths to understand how one fish species—lake trout—responds to rising temperature in the state of Alaska. We found that warmer spring air temperature and earlier lake ice melt were related to faster lake trout growth. This finding is consistent with other studies that link warmer water temperature and earlier lake ice melt to increased plankton in Alaska’s lakes. Together, these findings suggest that climate-driven increases at the bottom of the food web might benefit top predators like lake trout. However, the relationship between warmer temperature and faster growth may not last.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/frym.2022.726495","usgsCitation":"Bartz, K.K., von Biela, V.R., Black, B.A., Young, D.B., van der Sleen, P., and Zimmerman, C.E., 2022, Fish ear stones offer climate change clues in Alaska's lakes: Frontiers for Young Minds, HTML Document, https://doi.org/10.3389/frym.2022.726495.","productDescription":"HTML Document","ipdsId":"IP-130554","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":447712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frym.2022.726495","text":"Publisher Index Page"},{"id":400854,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Krista K.","contributorId":200705,"corporation":false,"usgs":false,"family":"Bartz","given":"Krista","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":843395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":843396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Black, Bryan A.","contributorId":68448,"corporation":false,"usgs":false,"family":"Black","given":"Bryan","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":843397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Daniel","contributorId":58468,"corporation":false,"usgs":false,"family":"Young","given":"Daniel","affiliations":[{"id":35763,"text":"National Park Service, Lake Clark National Park and Preserve, Port Alsworth, AK","active":true,"usgs":false}],"preferred":false,"id":843398,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van der Sleen, Peter","contributorId":203860,"corporation":false,"usgs":false,"family":"van der Sleen","given":"Peter","email":"","affiliations":[{"id":36731,"text":"University of Texas Marine Science Institute","active":true,"usgs":false}],"preferred":false,"id":843399,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":843400,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70246306,"text":"70246306 - 2022 - Value of information and decision pathways: Concepts and case studies","interactions":[],"lastModifiedDate":"2023-06-30T11:44:53.979969","indexId":"70246306","displayToPublicDate":"2022-05-20T06:43:16","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16138,"text":"Frontiers in Environmental Science (Environmental Economics and Management)","active":true,"publicationSubtype":{"id":10}},"title":"Value of information and decision pathways: Concepts and case studies","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb15\">Information used in decision making arises from the structuring of observations and data. The collection, dissemination, and use of information has monetary and non-monetary costs (e.g., competition for attention) and necessitates trade-offs. Understanding the benefits of having information (i.e., the value of information, VOI), including resulting societal outcomes, is useful to information producers/funders and decision makers. Using theory, use cases, and hypotheticals, we describe how information (e.g., geospatial information) is valued and incorporated in decisions and actions related to managing natural resources, environments, and the impacts of natural and anthropogenic hazards. We discuss the nature of information and how it relates to models (conceptual, mental, scientific), beliefs, knowledge, and economic analyses. VOI approaches and behavioral factors that potentially affect information use and value are summarized. Framing of information and VOI through data to decision pathways (DDPs) at first simplifies understanding, then illustrates the benefits of information, and the human and societal challenges encountered in valuing and using it. We present approaches to overcome these challenges. Our transdisciplinary analysis concludes with a summary of critical issues affecting DDPs and VOI, and suggestions for improving both economic analyses and the actionability and use of information.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fenvs.2022.805214","usgsCitation":"Glynn, P.D., Rhodes, C., Chiavacci, S.J., Helgeson, J., Shapiro, C.D., and Straub, C.L., 2022, Value of information and decision pathways: Concepts and case studies: Frontiers in Environmental Science (Environmental Economics and Management), v. 10, 805214, 26 p., https://doi.org/10.3389/fenvs.2022.805214.","productDescription":"805214, 26 p.","ipdsId":"IP-138938","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":447715,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2022.805214","text":"Publisher Index Page"},{"id":418648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2022-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":876718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rhodes, Charles 0000-0002-9040-3684","orcid":"https://orcid.org/0000-0002-9040-3684","contributorId":245881,"corporation":false,"usgs":true,"family":"Rhodes","given":"Charles","email":"","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":876719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chiavacci, Scott J. 0000-0003-3579-8377","orcid":"https://orcid.org/0000-0003-3579-8377","contributorId":206161,"corporation":false,"usgs":true,"family":"Chiavacci","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":876720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helgeson, Jennifer 0000-0002-3692-7874","orcid":"https://orcid.org/0000-0002-3692-7874","contributorId":291799,"corporation":false,"usgs":false,"family":"Helgeson","given":"Jennifer","email":"","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":876721,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shapiro, Carl D. 0000-0002-1598-6808 cshapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-1598-6808","contributorId":3048,"corporation":false,"usgs":true,"family":"Shapiro","given":"Carl","email":"cshapiro@usgs.gov","middleInitial":"D.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":876722,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Straub, Crista L. 0000-0001-7828-3328","orcid":"https://orcid.org/0000-0001-7828-3328","contributorId":219353,"corporation":false,"usgs":true,"family":"Straub","given":"Crista","email":"","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":876723,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70231713,"text":"70231713 - 2022 - Satellites quantify the spatial extent of cyanobacterial blooms across the United States at multiple scales","interactions":[],"lastModifiedDate":"2022-05-24T11:45:43.21324","indexId":"70231713","displayToPublicDate":"2022-05-20T06:41:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Satellites quantify the spatial extent of cyanobacterial blooms across the United States at multiple scales","docAbstract":"<p>Previous studies indicate that cyanobacterial harmful algal bloom (cyanoHAB) frequency, extent, and magnitude have increased globally over the past few decades. However, little quantitative capability is available to assess these metrics of cyanoHABs across broad geographic scales and at regular intervals. Here, the spatial extent was quantified from a cyanobacteria algorithm applied to two European Space Agency satellite platforms—the MEdium Resolution Imaging Spectrometer (MERIS) onboard Envisat and the Ocean and Land Colour Instrument (OLCI) onboard Sentinel-3. CyanoHAB spatial extent was defined for each geographic area as the percentage of valid satellite pixels that exhibited cyanobacteria above the detection limit of the satellite sensor. This study quantified cyanoHAB spatial extent for over 2,000 large lakes and reservoirs across the contiguous United States (CONUS) during two time periods: 2008–2011 via MERIS and 2017–2020 via OLCI when cloud-, ice-, and snow-free imagery was available. Approximately 56% of resolvable lakes were glaciated, 13% were headwater, isolated, or terminal lakes, and the rest were primarily drainage lakes. Results were summarized at national-, regional-, state-, and lake-scales, where regions were defined as nine climate regions which represent climatically consistent states. As measured by satellite, changes in national cyanoHAB extent did have a strong increase of 6.9% from 2017 to 2020 (|Kendall’s tau (τ)| = 0.56; gamma (γ) = 2.87 years), but had negligible change (|τ| = 0.03) from 2008 to 2011. Two of the nine regions had moderate (0.3 ≤ |τ| &lt; 0.5) increases in spatial extent from 2017 to 2020, and eight of nine regions had negligible (|τ| &lt; 0.2) change from 2008 to 2011. Twelve states had a strong or moderate increase from 2017 to 2020 (|τ| ≥ 0.3), while only one state had a moderate increase and two states had a moderate decrease from 2008 to 2011. A decrease, or no change, in cyanoHAB spatial extent did not indicate a lack of issues related to cyanoHABs. Sensitivity results of randomly omitted daily CONUS scenes confirm that even with reduced data availability during a short four-year temporal assessment, the direction and strength of the changes in spatial extent remained consistent. We present the first set of national maps of lake cyanoHAB spatial extent across CONUS and demonstrate an approach for quantifying past and future changes at multiple spatial scales. Results presented here provide water quality managers information regarding current cyanoHAB spatial extent and quantify rates of change.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2022.108990","usgsCitation":"Schaeffer, B., Urquhart, E., Coffer, M., Salls, W., Stumpf, R., Loftin, K.A., and Werdell, P., 2022, Satellites quantify the spatial extent of cyanobacterial blooms across the United States at multiple scales: Ecological Indicators, v. 140, 108990, 14 p., https://doi.org/10.1016/j.ecolind.2022.108990.","productDescription":"108990, 14 p.","ipdsId":"IP-140263","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":447718,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2022.108990","text":"Publisher Index Page"},{"id":400909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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      40.9311\n              ],\n              [\n                -72.24126,\n                41.11948\n              ],\n              [\n                -71.945,\n                40.93\n              ],\n              [\n                -73.345,\n                40.63\n              ],\n              [\n                -73.982,\n                40.628\n              ],\n              [\n                -73.95232,\n                40.75075\n              ],\n              [\n                -74.25671,\n                40.47351\n              ],\n              [\n                -73.96244,\n                40.42763\n              ],\n              [\n                -74.17838,\n                39.70926\n              ],\n              [\n                -74.90604,\n                38.93954\n              ],\n              [\n                -74.98041,\n                39.1964\n              ],\n              [\n                -75.20002,\n                39.24845\n              ],\n              [\n                -75.52805,\n                39.4985\n              ],\n              [\n                -75.32,\n                38.96\n              ],\n              [\n                -75.07183,\n                38.78203\n              ],\n              [\n                -75.05673,\n                38.40412\n              ],\n              [\n                -75.37747,\n                38.01551\n              ],\n              [\n                -75.94023,\n                37.21689\n              ],\n              [\n                -76.03127,\n                37.2566\n              ],\n              [\n                -75.72205,\n                37.93705\n              ],\n              [\n                -76.23287,\n                38.31921\n              ],\n              [\n                -76.35,\n                39.15\n              ],\n              [\n                -76.54272,\n                38.71762\n              ],\n              [\n                -76.32933,\n                38.08326\n              ],\n              [\n                -76.99,\n                38.23999\n              ],\n              [\n                -76.30162,\n                37.91794\n              ],\n              [\n                -76.25874,\n                36.9664\n              ],\n              [\n                -75.9718,\n                36.89726\n              ],\n              [\n                -75.86804,\n                36.55125\n              ],\n              [\n                -75.72749,\n                35.55074\n              ],\n              [\n                -76.36318,\n                34.80854\n              ],\n              [\n                -77.39763,\n                34.51201\n              ],\n              [\n                -78.05496,\n                33.92547\n              ],\n              [\n                -78.55435,\n                33.86133\n              ],\n              [\n                -79.06067,\n                33.49395\n              ],\n              [\n                -79.20357,\n                33.15839\n              ],\n              [\n                -80.30132,\n                32.50935\n              ],\n              [\n                -80.86498,\n                32.0333\n              ],\n              [\n                -81.33629,\n                31.44049\n              ],\n              [\n                -81.49042,\n                30.72999\n              ],\n              [\n                -81.31371,\n                30.03552\n              ],\n              [\n                -80.98,\n                29.18\n              ],\n              [\n                -80.53558,\n                28.47213\n              ],\n              [\n                -80.53,\n                28.04\n              ],\n              [\n                -80.05654,\n                26.88\n              ],\n              [\n                -80.08801,\n                26.20576\n              ],\n              [\n                -80.13156,\n                25.81677\n              ],\n              [\n                -80.38103,\n                25.20616\n              ],\n              [\n                -80.68,\n                25.08\n              ],\n              [\n                -81.17213,\n                25.20126\n              ],\n              [\n                -81.33,\n                25.64\n              ],\n              [\n                -81.71,\n                25.87\n              ],\n              [\n                -82.24,\n                26.73\n              ],\n              [\n                -82.70515,\n                27.49504\n              ],\n              [\n                -82.85526,\n                27.88624\n              ],\n              [\n                -82.65,\n                28.55\n              ],\n              [\n                -82.93,\n                29.1\n              ],\n              [\n                -83.70959,\n                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 -100.45584,\n                28.69612\n              ],\n              [\n                -100.9576,\n                29.38071\n              ],\n              [\n                -101.6624,\n                29.7793\n              ],\n              [\n                -102.48,\n                29.76\n              ],\n              [\n                -103.11,\n                28.97\n              ],\n              [\n                -103.94,\n                29.27\n              ],\n              [\n                -104.45697,\n                29.57196\n              ],\n              [\n                -104.70575,\n                30.12173\n              ],\n              [\n                -105.03737,\n                30.64402\n              ],\n              [\n                -105.63159,\n                31.08383\n              ],\n              [\n                -106.1429,\n                31.39995\n              ],\n              [\n                -106.50759,\n                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    ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"140","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schaeffer, Blake","contributorId":291956,"corporation":false,"usgs":false,"family":"Schaeffer","given":"Blake","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":843509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Urquhart, Erin","contributorId":291957,"corporation":false,"usgs":false,"family":"Urquhart","given":"Erin","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":843510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coffer, Megan","contributorId":291790,"corporation":false,"usgs":false,"family":"Coffer","given":"Megan","affiliations":[{"id":62754,"text":"Oak Ridge Institute for Science and Education, U.S. Environmental Protection Agency,","active":true,"usgs":false}],"preferred":false,"id":843511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salls, Wilson","contributorId":291789,"corporation":false,"usgs":false,"family":"Salls","given":"Wilson","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":843512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stumpf, Richard","contributorId":291793,"corporation":false,"usgs":false,"family":"Stumpf","given":"Richard","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":843513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":843514,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Werdell, P. Jeremy","contributorId":291794,"corporation":false,"usgs":false,"family":"Werdell","given":"P. Jeremy","affiliations":[{"id":37453,"text":"National Aeronautics and Space Administration","active":true,"usgs":false}],"preferred":false,"id":843515,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70232148,"text":"70232148 - 2022 - Tick abundance, diversity and pathogen data collected by the National Ecological Observatory Network","interactions":[],"lastModifiedDate":"2022-06-08T11:39:13.564226","indexId":"70232148","displayToPublicDate":"2022-05-20T06:37:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10930,"text":"Gigabyte","active":true,"publicationSubtype":{"id":10}},"title":"Tick abundance, diversity and pathogen data collected by the National Ecological Observatory Network","docAbstract":"<div class=\"abstract-container\" data-scroll=\"heading-gb0\"><div id=\"custom-abstract\" class=\"custom-abstract\"><p>Cases of tick-borne diseases have been steadily increasing in the USA, owing in part to tick range expansion, land cover and associated host population changes, and habitat fragmentation. However, the relative importance of these and other potential drivers remain poorly understood within this complex disease system. Ticks are ectotherms with multi-host lifecycles, which makes them sensitive to changes in the physical environment and the ecological community. Here, we describe data collected by the National Ecological Observatory Network on tick abundance, diversity and pathogen infection. Ticks are collected using drag or flag methods multiple times in a growing season at 46 terrestrial sites across the USA. Ticks are identified and enumerated by a professional taxonomist, and a subset of nymphs are PCR-tested for various tick-borne pathogens. These data will enable multiscale analyses to better understand how drivers of tick dynamics and pathogen prevalence may shift with climate or land-use change.</p></div></div>","language":"English","publisher":"GigaScience Press","doi":"10.46471/gigabyte.56","usgsCitation":"Paull, S.H., Thibault, K.M., and Benson, A., 2022, Tick abundance, diversity and pathogen data collected by the National Ecological Observatory Network: Gigabyte, 11 p., https://doi.org/10.46471/gigabyte.56.","productDescription":"11 p.","ipdsId":"IP-139231","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":447720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.46471/gigabyte.56","text":"Publisher Index Page"},{"id":401910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2022-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Paull, S. H. 0000-0001-5589-9568","orcid":"https://orcid.org/0000-0001-5589-9568","contributorId":292340,"corporation":false,"usgs":false,"family":"Paull","given":"S.","email":"","middleInitial":"H.","affiliations":[{"id":62877,"text":"Battelle, National Ecological Observatory Network, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":844340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thibault, K. M. 0000-0003-3477-6424","orcid":"https://orcid.org/0000-0003-3477-6424","contributorId":292341,"corporation":false,"usgs":false,"family":"Thibault","given":"K.","email":"","middleInitial":"M.","affiliations":[{"id":62877,"text":"Battelle, National Ecological Observatory Network, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":844341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benson, Abigail 0000-0002-4391-107X","orcid":"https://orcid.org/0000-0002-4391-107X","contributorId":202078,"corporation":false,"usgs":true,"family":"Benson","given":"Abigail","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":844342,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231596,"text":"dr1155 - 2022 - Airborne electromagnetic survey results near the Poso Creek oil field, San Joaquin Valley, California, fall 2016","interactions":[],"lastModifiedDate":"2026-03-16T20:04:43.969667","indexId":"dr1155","displayToPublicDate":"2022-05-19T15:50:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1155","displayTitle":"Airborne Electromagnetic Survey Results near the Poso Creek Oil Field, San Joaquin Valley, California, Fall 2016","title":"Airborne electromagnetic survey results near the Poso Creek oil field, San Joaquin Valley, California, fall 2016","docAbstract":"<p>An airborne electromagnetic survey west of the Poso Creek oil field, located in the southeastern San Joaquin Valley, California, was flown in October 2016 to improve understanding of the hydrogeologic setting and the distribution of groundwater salinity in the area. The airborne electromagnetic data were used to develop resistivity models of the subsurface, where the mean depth of investigation is about 300 meters below the land surface and thus characterizes parts of the Kern River Formation and overlying sediments. Resistivity models along with water table elevation, historical total dissolved solids measurements of water samples from wells, well lithologic records, borehole geophysical logs, and mapped surface geology were used to develop an understanding of local hydrogeologic controls on resistivity. Interpretation of these data indicate the resistivity structure primarily reflects the general lithologic character and geologic structure of the study area, with more subtle influences from variations in saturation and salinity.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/dr1155","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Zamudio, K.D., Ball, L.B., and Stephens, M.J., 2022, Airborne electromagnetic survey results near the Poso Creek oil field, San Joaquin Valley, California, fall 2016: U.S. Geological Survey Data Report 1155, 55 p., https://doi.org/10.3133/dr1155.","productDescription":"Report: vii, 59 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-131476","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":501206,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113076.htm","linkFileType":{"id":5,"text":"html"}},{"id":400702,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1155/dr1155.xml"},{"id":400701,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1155/images"},{"id":400662,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1155/coverthb.jpg"},{"id":400663,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1155/dr1155.pdf","text":"Report","size":"14.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1155"},{"id":400664,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H9AVZY","text":"USGS data release","linkHelpText":"Airborne electromagnetic and magnetic survey data, southeastern San Joaquin Valley near Cawelo, California, 2016"}],"country":"United States","state":"California","otherGeospatial":"Poso Creek Oil Field, San Joaquin Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.2,\n              35.4667\n            ],\n            [\n              -119.0667,\n              35.4667\n            ],\n            [\n              -119.0667,\n              35.5833\n            ],\n            [\n              -119.2,\n              35.5833\n            ],\n            [\n              -119.2,\n              35.4667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director,&nbsp;<a href=\"https://www.usgs.gov/centers/gggsc/\" data-mce-href=\"https://www.usgs.gov/centers/gggsc/\">Geology, Geophysics, and Geochemistry Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 973<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Abstract</li><li>Introduction&nbsp;&nbsp;</li><li>Hydrogeologic Setting</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Modeled Resistivity Profiles for Airborne Electromagnetic Flight Line</li></ul>","publishedDate":"2022-05-19","noUsgsAuthors":false,"publicationDate":"2022-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Zamudio, Katrina D. 0000-0003-0278-0154","orcid":"https://orcid.org/0000-0003-0278-0154","contributorId":203252,"corporation":false,"usgs":true,"family":"Zamudio","given":"Katrina","email":"","middleInitial":"D.","affiliations":[],"preferred":true,"id":843092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":843093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephens, Michael J. 0000-0001-8995-9928","orcid":"https://orcid.org/0000-0001-8995-9928","contributorId":205895,"corporation":false,"usgs":true,"family":"Stephens","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843094,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70249311,"text":"70249311 - 2022 - Orbital and in-situ investigation of periodic bedrock ridges in Glen Torridon, Gale Crater, Mars","interactions":[],"lastModifiedDate":"2023-10-05T00:08:41.026654","indexId":"70249311","displayToPublicDate":"2022-05-19T11:10:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Orbital and in-situ investigation of periodic bedrock ridges in Glen Torridon, Gale Crater, Mars","docAbstract":"<p>Wind has been the dominant agent of landscape modification on Mars for the past ~3 billion years. Among the diversity of features formed by aeolian abrasion on the surface of Mars are periodic bedrock ridges (PBRs), a relatively recently recognized class of erosional bedforms on Mars for which Earth analogues are rare. Gale crater, the field site for NASA’s Mars Science Laboratory <i>Curiosity</i> rover since it landed there in 2012, contains a diverse and extensive record of aeolian deposition and erosion. This study focuses on a series of periodic, linear bedrock ridges that occur within the Fe/Mg-smectite clay-bearing Glen Torridon region of Aeolis Mons (informally Mount Sharp). During <i>Curiosity’s</i> exploration of the Glen Torridon region between sols ~2300-3080, the rover drove through this field of ridges, providing the first opportunity for the in situ observation of these enigmatic erosional features. This study characterizes the Glen Torridon ridges using orbiter and rover data to determine their morphology, spatial distribution, compositional and material properties, and association with other aeolian features in the area. Based on these observations, the Glen Torridon ridges are interpreted to be consistent with an origin as wind-eroded periodic bedrock ridges carved during the most recent exhumation of Mount Sharp into the present-day mound. Although there is evidence for multidirectional winds in the Glen Torridon region based on the orientation of modern ripples, megaripples, TARs and other bedrock indicators, the consistent orientation of the Glen Torridon ridges, coupled with morphologic asymmetries within the ridges, support formation and elongation of the Glen Torridon PBRs forms parallel to a net regional northerly wind direction in and around Gale crater.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JE007096","usgsCitation":"Stack, K.M., Dietrich, W.E., Lamb, M.P., Sullivan, R., Christian, J.R., Newman, C.E., O’Connell-Cooper, C., Sneed, J.W., Day, M.D., Baker, M., Arvidson, R.A., Fedo, C.M., Khan, S., Williams, R., Bennett, K.A., Bryk, A.B., Cofield, S., Edgar, L.A., Fox, V.F., Fraeman, A.A., House, C.H., Rubin, D.M., Sun, V.Z., and Van Beek, J., 2022, Orbital and in-situ investigation of periodic bedrock ridges in Glen Torridon, Gale Crater, Mars: Journal of Geophysical Research E: Planets, v. 127, no. 6, e2021JE007096, 33 p., https://doi.org/10.1029/2021JE007096.","productDescription":"e2021JE007096, 33 p.","ipdsId":"IP-133144","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":447723,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2021je007096","text":"External Repository"},{"id":421607,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gale Crater, Glen Torridon, Mars","volume":"127","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Stack, K. M.","contributorId":177654,"corporation":false,"usgs":false,"family":"Stack","given":"K.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":885054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietrich, W. E.","contributorId":47538,"corporation":false,"usgs":false,"family":"Dietrich","given":"W.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":885055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamb, M. P.","contributorId":172652,"corporation":false,"usgs":false,"family":"Lamb","given":"M.","email":"","middleInitial":"P.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":885056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Robert","contributorId":229494,"corporation":false,"usgs":false,"family":"Sullivan","given":"Robert","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":885059,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christian, John R.","contributorId":330481,"corporation":false,"usgs":false,"family":"Christian","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":35028,"text":"Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":885057,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newman, Claire E","contributorId":301113,"corporation":false,"usgs":false,"family":"Newman","given":"Claire","email":"","middleInitial":"E","affiliations":[{"id":37347,"text":"Aeolis Research","active":true,"usgs":false}],"preferred":false,"id":885352,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Connell-Cooper, Catherine","contributorId":293554,"corporation":false,"usgs":false,"family":"O’Connell-Cooper","given":"Catherine","email":"","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":885060,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sneed, Jonathan W","contributorId":330483,"corporation":false,"usgs":false,"family":"Sneed","given":"Jonathan","email":"","middleInitial":"W","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":885063,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Day, Mackenzie D.","contributorId":203790,"corporation":false,"usgs":false,"family":"Day","given":"Mackenzie","email":"","middleInitial":"D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":885069,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Baker, Mariah","contributorId":301114,"corporation":false,"usgs":false,"family":"Baker","given":"Mariah","email":"","affiliations":[{"id":65314,"text":"Smithsonian National Air and Space Museum","active":true,"usgs":false}],"preferred":false,"id":885065,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Arvidson, R. A.","contributorId":173326,"corporation":false,"usgs":false,"family":"Arvidson","given":"R.","email":"","middleInitial":"A.","affiliations":[{"id":16661,"text":"Washington University in Saint Louis","active":true,"usgs":false}],"preferred":false,"id":885058,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fedo, Christopher M.","contributorId":229497,"corporation":false,"usgs":false,"family":"Fedo","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":885061,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Khan, Sabrina","contributorId":330482,"corporation":false,"usgs":false,"family":"Khan","given":"Sabrina","email":"","affiliations":[{"id":78705,"text":"self","active":true,"usgs":false}],"preferred":false,"id":885062,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Williams, Rebecca","contributorId":195304,"corporation":false,"usgs":false,"family":"Williams","given":"Rebecca","affiliations":[],"preferred":false,"id":885064,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bennett, Kristen A. 0000-0001-8105-7129","orcid":"https://orcid.org/0000-0001-8105-7129","contributorId":237068,"corporation":false,"usgs":true,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":885066,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Bryk, A. B.","contributorId":265239,"corporation":false,"usgs":false,"family":"Bryk","given":"A.","email":"","middleInitial":"B.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":885067,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Cofield, Shannon","contributorId":330484,"corporation":false,"usgs":false,"family":"Cofield","given":"Shannon","email":"","affiliations":[{"id":78705,"text":"self","active":true,"usgs":false}],"preferred":false,"id":885068,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":885070,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Fox, V. F.","contributorId":330485,"corporation":false,"usgs":false,"family":"Fox","given":"V.","email":"","middleInitial":"F.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":885071,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Fraeman, Abigail A.","contributorId":200404,"corporation":false,"usgs":false,"family":"Fraeman","given":"Abigail","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":885072,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"House, Christopher H","contributorId":229504,"corporation":false,"usgs":false,"family":"House","given":"Christopher","email":"","middleInitial":"H","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":885073,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Rubin, D. M.","contributorId":172655,"corporation":false,"usgs":false,"family":"Rubin","given":"D.","email":"","middleInitial":"M.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":885074,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Sun, Vivian Z. 0000-0003-1480-7369","orcid":"https://orcid.org/0000-0003-1480-7369","contributorId":237064,"corporation":false,"usgs":false,"family":"Sun","given":"Vivian","email":"","middleInitial":"Z.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":885075,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Van Beek, Jason K.","contributorId":167696,"corporation":false,"usgs":false,"family":"Van Beek","given":"Jason K.","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":885076,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}}
,{"id":70262466,"text":"70262466 - 2022 - Unique land cover classification to assess day-roost habitat selection of northern long-eared bats on the Coastal Plain of North Carolina, USA","interactions":[],"lastModifiedDate":"2025-01-23T17:13:35.036104","indexId":"70262466","displayToPublicDate":"2022-05-19T11:04:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Unique land cover classification to assess day-roost habitat selection of northern long-eared bats on the Coastal Plain of North Carolina, USA","docAbstract":"<p><span>Reproductively successful and over-wintering populations of the endangered northern long-eared bat (</span><i><span class=\"html-italic\">Myotis septentrionalis</span></i><span>) have recently been discovered on the Coastal Plain of North Carolina. Empirical data on resource selection within the region is limited, likely hindering management of these coastal forests. Our objectives were to determine roosting home range size, selection of day-roost tree species, second- and third-order roosting habitat selection, and to quantify the overall availability of resources in the surrounding landscape. We found core and peripheral roosting home range estimates were large, yet similar to observations from other areas of contiguous forests. Prior to juvenile volancy, female northern long-eared bats appear to select red maple (</span><i><span class=\"html-italic\">Acer rubrum</span></i><span>), water ash (</span><i><span class=\"html-italic\">Fraxinus caroliniana</span></i><span>), and loblolly pine (</span><i><span class=\"html-italic\">Pinus taeda</span></i><span>) as day-roosts, but then use sweetgum (</span><i><span class=\"html-italic\">Liquidambar styraciflua</span></i><span>), swamp bay (</span><i><span class=\"html-italic\">Persea palustris</span></i><span>), and water tupelo (</span><i><span class=\"html-italic\">Nyssa aquatica</span></i><span>) after juvenile volancy. At the second-order spatial scale, roosting home ranges were associated with woody wetlands farther from anthropogenic development and open water. However, within the third-order scale, northern long-eared bats were associated with undeveloped woody wetlands and upland forests, areas containing shorter trees and occurring proximal to open water. Peripheral and core areas were predicted to comprise approximately 20% of the local landscape. Our results show that complex and large tracts of woody wetlands juxtaposed with upland forests in this part of the Coastal Plain may be important for northern long-eared bats locally, results largely consistent with species management efforts in eastern North America.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/f13050792","usgsCitation":"De La Cruz, J., True, M., Taylor, H., Brown, D., and Ford, W., 2022, Unique land cover classification to assess day-roost habitat selection of northern long-eared bats on the Coastal Plain of North Carolina, USA: Forests, v. 13, no. 5, 792, 12 p., https://doi.org/10.3390/f13050792.","productDescription":"792, 12 p.","ipdsId":"IP-139280","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481087,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f13050792","text":"Publisher Index Page"},{"id":481010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Coastal Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.75026436537884,\n              36.551057495425155\n            ],\n            [\n              -76.75026436537884,\n              36.10817288230365\n            ],\n            [\n              -75.80386759650264,\n              36.10817288230365\n            ],\n            [\n              -75.80386759650264,\n              36.551057495425155\n            ],\n            [\n              -76.75026436537884,\n              36.551057495425155\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"De La Cruz, Jesse L.","contributorId":342611,"corporation":false,"usgs":false,"family":"De La Cruz","given":"Jesse L.","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":924270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"True, Michael C.","contributorId":270631,"corporation":false,"usgs":false,"family":"True","given":"Michael C.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":924271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Hila","contributorId":270923,"corporation":false,"usgs":false,"family":"Taylor","given":"Hila","email":"","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":924272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Dorothy","contributorId":349381,"corporation":false,"usgs":false,"family":"Brown","given":"Dorothy","affiliations":[{"id":83477,"text":"Brown Environmental 13","active":true,"usgs":false}],"preferred":false,"id":924273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":924274,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70255203,"text":"70255203 - 2022 - Multidecadal trends in body size of Puget Sound Chinook Salmon: Analysis of data from the Tengu Derby, a culturally unique fishery","interactions":[],"lastModifiedDate":"2024-06-13T15:41:53.528254","indexId":"70255203","displayToPublicDate":"2022-05-19T10:35:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Multidecadal trends in body size of Puget Sound Chinook Salmon: Analysis of data from the Tengu Derby, a culturally unique fishery","docAbstract":"<p><span>In Pacific salmon&nbsp;</span><i>Oncorhynchus</i><span>&nbsp;spp., downward trends in size and abundance have been reported for species and stocks for over 40 years, but the patterns are inconsistent among regions and species. Interpretation of these trends is complicated by many possible contributing factors, including short time series, data comprising a mix of stocks, and varying gear types. Here, we present data on the mass of individual Chinook Salmon&nbsp;</span><i>Oncorhynchus tshawytscha</i><span>&nbsp;caught in the winter from 1946 to 2019 in central Puget Sound, Washington, by participants in what may be the longest running Pacific salmon derby in North America, the Tengu Derby. In this annual recreational fishing competition, established by Japanese Americans immediately after release from internment camps at the end of World War II, participants follow strict gear, area, and methods regulations and catch almost exclusively salmonids originating from and remaining in Puget Sound. Records revealed an overall decline in fish mass over the decades, with a high degree of variability throughout the time series. Specifically, resident Chinook Salmon exhibited several shifts, including a decrease in size from a high in the 1950s to a low around 1980, followed by an increase to another high around 1990 and then a decline over the most recent 30 years. These size trends of residents differed from those of Puget Sound Chinook Salmon as a whole. We infer that the resident fish experienced ecological conditions affecting their growth that were distinct from those of fish feeding along the Pacific Ocean in the same periods. These distinct trends in size of Chinook Salmon from common origins indicate that the different migration patterns of fish within stocks must be considered in the analysis and interpretation of body size trends and also in patterns of survival.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10205","usgsCitation":"Quinn, T.P., Scheuerell, M.D., Losee, J.P., and Hanada, D., 2022, Multidecadal trends in body size of Puget Sound Chinook Salmon: Analysis of data from the Tengu Derby, a culturally unique fishery: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 14, no. 3, e10205, 9 p., https://doi.org/10.1002/mcf2.10205.","productDescription":"e10205, 9 p.","ipdsId":"IP-134579","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":447727,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/mcf2.10205","text":"External Repository"},{"id":430144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elliott Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.43455658105538,\n              47.64585062253411\n            ],\n            [\n              -122.43455658105538,\n              47.57080816427981\n            ],\n            [\n              -122.33689033923267,\n              47.57080816427981\n            ],\n            [\n              -122.33689033923267,\n              47.64585062253411\n            ],\n            [\n              -122.43455658105538,\n              47.64585062253411\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Quinn, Thomas P.","contributorId":167272,"corporation":false,"usgs":false,"family":"Quinn","given":"Thomas","email":"","middleInitial":"P.","affiliations":[{"id":24671,"text":"School of Aquatic and Fsiery Sciences, UW, Box 355020, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":903720,"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":903721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Losee, James P","contributorId":239689,"corporation":false,"usgs":false,"family":"Losee","given":"James","email":"","middleInitial":"P","affiliations":[{"id":47976,"text":"Washington Department of Fish and Wildlife, Fish Program, Olympia, WA, 98501, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":903722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanada, Doug","contributorId":338983,"corporation":false,"usgs":false,"family":"Hanada","given":"Doug","email":"","affiliations":[{"id":81223,"text":"Tengu Club President","active":true,"usgs":false}],"preferred":false,"id":903723,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256677,"text":"70256677 - 2022 - Local populations of eastern oyster from Louisiana differ in low salinity tolerance","interactions":[],"lastModifiedDate":"2024-08-30T15:13:48.665336","indexId":"70256677","displayToPublicDate":"2022-05-19T10:05:17","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Local populations of eastern oyster from Louisiana differ in low salinity tolerance","docAbstract":"<p><span>Eastern oysters&nbsp;</span><i>Crassostrea virginica</i><span>&nbsp;support a critical commercial industry and provide many ecosystem services to coastal estuaries yet are currently threatened by changing estuarine conditions. A changing climate and the effects of river and coastal management are altering freshwater inflows into productive oyster areas, causing more frequent and extreme salinity exposure. Although eastern oysters are tolerant to a wide range of salinity means and variations, more frequent and extreme exposure to low salinity (&lt;5‰) impacts oyster populations and aquaculture operations. This study assessed four Louisiana eastern oyster stocks to explore population-specific responses to low-salinity exposure. Hatchery-produced progeny (10–25 mm) were deployed in baskets kept off-bottom on longline systems in a low-salinity (mean ± 1 standard error of the mean daily salinity = 8.7 ± 0.2‰; range = 1.2–19.0‰) and a moderate-salinity (16.8 ± 0.3‰; 4.8–30.0‰) environment for 1 year, beginning in December 2019, with growth and mortality determined monthly. Significant differences in cumulative mortality between stocks at the end of the study were found at the low-salinity site, with the greatest increase in cumulative mortality occurring mid-July to mid-August. Mortality differences between stocks suggest that some eastern oyster populations (i.e., stocks) may be better suited to low salinity or low-salinity events than others. This difference may be attributed to similarity between site of origin and grow-out site conditions and/or to greater salinity variability and therefore higher phenotypic plasticity in some eastern oyster populations compared with others. The identification of oyster stocks able to survive under extreme low-salinity conditions may facilitate the development of “low-salinity-tolerant” broodstock to support aquaculture in areas experiencing and predicted to experience low-salinity events.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/naaq.10248","usgsCitation":"Swam, L., La Peyre, M., Callam, B., and La Peyre, J., 2022, Local populations of eastern oyster from Louisiana differ in low salinity tolerance: North American Journal of Aquaculture, v. 84, no. 3, p. 381-391, https://doi.org/10.1002/naaq.10248.","productDescription":"11 p.","startPage":"381","endPage":"391","ipdsId":"IP-135300","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467183,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/62209","text":"External Repository"},{"id":433370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.0434688771042,\n              30.101527013125377\n            ],\n            [\n              -94.01703847779518,\n              29.552930802352776\n            ],\n            [\n              -89.01824912136517,\n              28.988744299850225\n            ],\n            [\n              -89.10895991675187,\n              29.46576988537774\n            ],\n            [\n              -94.0434688771042,\n              30.101527013125377\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"84","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Swam, Lauren","contributorId":341557,"corporation":false,"usgs":false,"family":"Swam","given":"Lauren","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":908614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Callam, Brian","contributorId":341558,"corporation":false,"usgs":false,"family":"Callam","given":"Brian","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":908616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Peyre, Jerome F.","contributorId":341559,"corporation":false,"usgs":false,"family":"La Peyre","given":"Jerome F.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":908617,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70231753,"text":"70231753 - 2022 - Opportunities for businesses to use and support development of SEEA-aligned natural capital accounts","interactions":[],"lastModifiedDate":"2022-05-25T15:05:09.521893","indexId":"70231753","displayToPublicDate":"2022-05-19T10:01:36","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1477,"text":"Ecosystem Services","active":true,"publicationSubtype":{"id":10}},"title":"Opportunities for businesses to use and support development of SEEA-aligned natural capital accounts","docAbstract":"<p><span>Global understanding of the interconnections between the environment and economy has increased, driving the development of frameworks and standards that support the measurement and valuation of natural capital and ecosystem services by both governments and businesses. This paper outlines how businesses can use natural capital accounts (NCA) aligned to the System of Environmental Economic Accounting (SEEA) standard described in this special issue to support identification, management, and valuation of natural capital not typically listed on corporate balance sheets. Such accounts have direct applications for business&nbsp;strategic planning, investment decisions,&nbsp;</span>supply chain management<span>, operations management, risk management, and corporate reporting. Businesses also have important roles to play in advancing SEEA-aligned NCA by providing information that would be useful to include in the accounts and by helping to shape accounts to provide decision-relevant information for both the private and the public sectors. Current pilot SEEA-aligned NCA data and analyses developed for the United States can help address some of the common challenges that businesses face in using natural capital data such as accessibility, quality, and credibility, important for business decision making. However, improvements are needed to fill data gaps and produce more frequent and timely estimates aligned to the temporal resolution needed by businesses.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoser.2022.101434","usgsCitation":"Carter Ingram, J., Bagstad, K.J., Vardon, M., Rhodes, C., Posner, S.M., Casey, C.F., Glynn, P.D., and Shapiro, C.D., 2022, Opportunities for businesses to use and support development of SEEA-aligned natural capital accounts: Ecosystem Services, v. 55, 101434, 11 p., https://doi.org/10.1016/j.ecoser.2022.101434.","productDescription":"101434, 11 p.","ipdsId":"IP-130097","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":447732,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoser.2022.101434","text":"Publisher Index Page"},{"id":401046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carter Ingram, Jane 0000-0002-9710-4935","orcid":"https://orcid.org/0000-0002-9710-4935","contributorId":266189,"corporation":false,"usgs":false,"family":"Carter Ingram","given":"Jane","email":"","affiliations":[{"id":54943,"text":"Pollination Group","active":true,"usgs":false}],"preferred":false,"id":843683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":843684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vardon, Michael","contributorId":211875,"corporation":false,"usgs":false,"family":"Vardon","given":"Michael","email":"","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":843685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rhodes, Charles 0000-0002-9040-3684","orcid":"https://orcid.org/0000-0002-9040-3684","contributorId":245881,"corporation":false,"usgs":true,"family":"Rhodes","given":"Charles","email":"","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":843686,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Posner, Stephen M.","contributorId":211872,"corporation":false,"usgs":false,"family":"Posner","given":"Stephen","email":"","middleInitial":"M.","affiliations":[{"id":38335,"text":"COMPASS","active":true,"usgs":false}],"preferred":false,"id":843687,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Casey, Clyde F. 0000-0001-6960-5129","orcid":"https://orcid.org/0000-0001-6960-5129","contributorId":223854,"corporation":false,"usgs":true,"family":"Casey","given":"Clyde","email":"","middleInitial":"F.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":843688,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":843689,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shapiro, Carl D. 0000-0002-9868-7896 cshapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-9868-7896","contributorId":211863,"corporation":false,"usgs":true,"family":"Shapiro","given":"Carl","email":"cshapiro@usgs.gov","middleInitial":"D.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":843690,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70238944,"text":"70238944 - 2022 - Are you sleeping? Are you sleeping? Predicting invasion potential of sleeper species","interactions":[],"lastModifiedDate":"2022-12-19T15:38:46.975749","indexId":"70238944","displayToPublicDate":"2022-05-19T09:32:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Are you sleeping? Are you sleeping? Predicting invasion potential of sleeper species","docAbstract":"<p>Sleeper species are non-native species that are established in a region and could become invasive as climate change makes conditions more favorable for many non-native species. Before we can manage potential sleepers, we must first know their identity. We analyzed non-native, established plants in the Northeast United States (CT, MA, ME, NH, NY, RI, VT) using the Environmental Impact Classification for Alien Taxa (EICAT) protocol to identify species that have negative impacts on native ecological communities as well as negative impacts on agriculture, economies, or human health. Here, we highlight four potential sleeper species to watch out for. A full list of potential sleeper species and reported impacts can be found at https://doi.org/10.7275/yfss-tt69.</p>","language":"English","publisher":"Northeast RISCC Management","doi":"10.7275/7mep-fp25","usgsCitation":"O’Uhuru, A., Barker-Plotkin, A., Dalaba, J., Pfadenhauer, W., Suzzi, A., and Morelli, T.L., 2022, Are you sleeping? Are you sleeping? 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,{"id":70241460,"text":"70241460 - 2022 - Vegetation type conversion in the US Southwest: Frontline observations and management responses","interactions":[],"lastModifiedDate":"2023-03-21T13:41:34.192541","indexId":"70241460","displayToPublicDate":"2022-05-19T08:35:45","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation type conversion in the US Southwest: Frontline observations and management responses","docAbstract":"Forest and nonforest ecosystems of the western United States are experiencing major transformations in response to land-use change, climate warming, and their interactive effects with wildland fire. Some ecosystems are transitioning to persistent alternative types, hereafter called “vegetation type conversion” (VTC). VTC is one of the most pressing management issues in the southwestern US, yet current strategies to intervene and address change often use trial-and-error approaches devised after the fact. To better understand how to manage VTC, we gathered managers, scientists, and practitioners from across the southwestern US to collect their experiences with VTC challenges, management responses, and outcomes.","language":"English","publisher":"Springer","doi":"10.1186/s42408-022-00131-w","usgsCitation":"Guiterman, C.H., Gregg, R.M., Marshall, L., Beckmann, J., van Mantgem, P., Falk, D.A., Keeley, J., Caprio, A.C., Coop, J.D., Fornwalt, P.J., Haffey, C., Hagmann, R.K., Jackson, S., Lynch, A.M., Margolis, E.Q., Marks, C., Meyer, M.D., Safford, H., Syphard, A.D., Taylor, A.H., Wilcox, C., Carril, D., Enquist, C.A., Huffman, D., Iniguez, J., Molinari, N.A., Restaino, C.M., and Stevens, J., 2022, Vegetation type conversion in the US Southwest: Frontline observations and management responses: Fire Ecology, v. 18, 6, 16 p., https://doi.org/10.1186/s42408-022-00131-w.","productDescription":"6, 16 p.","ipdsId":"IP-134108","costCenters":[{"id":291,"text":"Fort Collins Science 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Keala","contributorId":265575,"corporation":false,"usgs":false,"family":"Hagmann","given":"R.","email":"","middleInitial":"Keala","affiliations":[],"preferred":false,"id":866909,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jackson, Stephen 0000-0002-1487-4652","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":219995,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":866910,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lynch, Ann M.","contributorId":303253,"corporation":false,"usgs":false,"family":"Lynch","given":"Ann","email":"","middleInitial":"M.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":866911,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":866912,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Marks, Christopher","contributorId":289236,"corporation":false,"usgs":false,"family":"Marks","given":"Christopher","email":"","affiliations":[{"id":62075,"text":"National Park Service, Grand Canyon National Park","active":true,"usgs":false}],"preferred":false,"id":866913,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Meyer, Marc D.","contributorId":146492,"corporation":false,"usgs":false,"family":"Meyer","given":"Marc","email":"","middleInitial":"D.","affiliations":[{"id":16711,"text":"USDA Forest Service, Clovis, CA","active":true,"usgs":false}],"preferred":false,"id":866914,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Safford, Hugh","contributorId":210918,"corporation":false,"usgs":false,"family":"Safford","given":"Hugh","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":866915,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Syphard, Alexandra Dunya","contributorId":303254,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"Dunya","affiliations":[{"id":65731,"text":"Vertus Wildfire; San Diego State University","active":true,"usgs":false}],"preferred":false,"id":866916,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Taylor, Alan H.","contributorId":204202,"corporation":false,"usgs":false,"family":"Taylor","given":"Alan","email":"","middleInitial":"H.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":866917,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Wilcox, Craig","contributorId":219868,"corporation":false,"usgs":false,"family":"Wilcox","given":"Craig","email":"","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":866918,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Carril, Dennis","contributorId":289233,"corporation":false,"usgs":false,"family":"Carril","given":"Dennis","email":"","affiliations":[{"id":62074,"text":"US Forest Service Santa Fe National Forest","active":true,"usgs":false}],"preferred":false,"id":866919,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Enquist, Carolyn Armstrong 0000-0001-6677-7064","orcid":"https://orcid.org/0000-0001-6677-7064","contributorId":244370,"corporation":false,"usgs":true,"family":"Enquist","given":"Carolyn","email":"","middleInitial":"Armstrong","affiliations":[{"id":41166,"text":"Southwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":866920,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Huffman, David W.","contributorId":298183,"corporation":false,"usgs":false,"family":"Huffman","given":"David W.","affiliations":[{"id":64511,"text":"Ecological Restoration Institute, Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":866921,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Iniguez, Jose","contributorId":298184,"corporation":false,"usgs":false,"family":"Iniguez","given":"Jose","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":866922,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Molinari, Nicole A.","contributorId":204452,"corporation":false,"usgs":false,"family":"Molinari","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":866923,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Restaino, Christina M","contributorId":173657,"corporation":false,"usgs":false,"family":"Restaino","given":"Christina","email":"","middleInitial":"M","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":866924,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Stevens, Jens T. 0000-0002-2234-1960","orcid":"https://orcid.org/0000-0002-2234-1960","contributorId":289230,"corporation":false,"usgs":false,"family":"Stevens","given":"Jens T.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":866925,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}}
,{"id":70239089,"text":"70239089 - 2022 - Long-term change in metabolism phenology in north temperate lakes","interactions":[],"lastModifiedDate":"2022-12-27T13:39:30.240752","indexId":"70239089","displayToPublicDate":"2022-05-19T07:38:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Long-term change in metabolism phenology in north temperate lakes","docAbstract":"<p><span>The phenology of dissolved oxygen (DO) dynamics and metabolism in north temperate lakes offers a basis for comparing metabolic cycles over multi-year time scales. Although proximal control over lake DO can be attributed to metabolism and physical processes, how those processes evolve over decades largely remains unexplored. Metabolism phenology may reveal the importance of coherence among lakes and facilitate general conclusions about the controls on lake metabolism at regional scales. We developed a Bayesian modeling framework to estimate DO concentrations and metabolism in eight lakes in contrasting landscapes in Wisconsin, USA. We identify the DO and metabolism phenologies for each lake, and use those to compare how decadal patterns relate to trophic state and landscape setting. We show that lakes can be categorized by their hypolimnetic oxygen consumption dynamics, with oligotrophic lakes having a diverse set of patterns and eutrophic lakes having uniform trends of increased oxygen consumption over the last decade. Metabolism phenology is likewise diverse for oligotrophic lakes, whereas eutrophic lakes in southern Wisconsin share consistent long-term patterns of metabolic trends and seasonal DO consumption highlighting the importance of trophic state driving metabolism. Eutrophic lakes had higher magnitudes and more seasonal variation in net ecosystem production in contrast to oligotrophic lakes. Generally, long-term metabolic trends of north temperate lakes suggest a limited influence of climate on lake metabolism and that temporal coherence of long-term metabolism change is driven primarily by the landscape setting.</span></p>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.12098","usgsCitation":"Ladwig, R., Appling, A.P., Delany, A.D., Dugan, H.A., Gao, Q., Lottig, N.R., Stachelek, J., and Hanson, P.C., 2022, Long-term change in metabolism phenology in north temperate lakes: Limnology and Oceanography, v. 67, no. 7, p. 1502-1521, https://doi.org/10.1002/lno.12098.","productDescription":"20 p.","startPage":"1502","endPage":"1521","ipdsId":"IP-129194","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":447736,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.12098","text":"Publisher Index Page"},{"id":411060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Allequash Lake, Big Muskellunge Lake, Crystal Lake, Fish Lake, Lake Mendota, Lake Monona, Sparkling Lake, Trout Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.44583741086252,\n              45.42713733091776\n            ],\n            [\n              -88.27482912542216,\n              45.99753910716336\n            ],\n            [\n              -88.7975276230434,\n              46.05026750966283\n            ],\n            [\n              -90.15312902790299,\n              46.38060711023613\n            ],\n            [\n              -90.38437972463896,\n              45.961454334292114\n            ],\n            [\n              -89.8140799906678,\n              45.500331944022975\n            ],\n            [\n              -88.94409606777147,\n              45.36243948465693\n            ],\n            [\n              -88.44583741086252,\n              45.42713733091776\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.67903684016268,\n              43.304999439250366\n            ],\n            [\n              -89.67903684016268,\n              43.02721851894691\n            ],\n            [\n              -89.30681011972743,\n              43.02721851894691\n            ],\n            [\n              -89.30681011972743,\n              43.304999439250366\n            ],\n            [\n              -89.67903684016268,\n              43.304999439250366\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"67","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Ladwig, Robert 0000-0001-8443-1999","orcid":"https://orcid.org/0000-0001-8443-1999","contributorId":268211,"corporation":false,"usgs":false,"family":"Ladwig","given":"Robert","email":"","affiliations":[],"preferred":false,"id":860012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":860013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delany, Austin D.","contributorId":297480,"corporation":false,"usgs":false,"family":"Delany","given":"Austin","email":"","middleInitial":"D.","affiliations":[{"id":64412,"text":"University of Wisconsin – Madison, Center for Limnology, Madison, Wisconsin, USA","active":true,"usgs":false}],"preferred":false,"id":860014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugan, Hilary A. 0000-0003-4674-1149","orcid":"https://orcid.org/0000-0003-4674-1149","contributorId":300341,"corporation":false,"usgs":false,"family":"Dugan","given":"Hilary","email":"","middleInitial":"A.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":860015,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gao, Qiantong","contributorId":300342,"corporation":false,"usgs":false,"family":"Gao","given":"Qiantong","email":"","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":860016,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lottig, Noah R.","contributorId":172031,"corporation":false,"usgs":false,"family":"Lottig","given":"Noah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":860017,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stachelek, Jemma","contributorId":274864,"corporation":false,"usgs":false,"family":"Stachelek","given":"Jemma","email":"","affiliations":[],"preferred":false,"id":860018,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":860019,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70259617,"text":"70259617 - 2022 - Late Holocene human-environment interactions on the central California coast, USA, inferred from Morro Bay salt marsh sediments","interactions":[],"lastModifiedDate":"2024-10-17T12:11:25.905893","indexId":"70259617","displayToPublicDate":"2022-05-19T07:09:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":815,"text":"Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Late Holocene human-environment interactions on the central California coast, USA, inferred from Morro Bay salt marsh sediments","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><div id=\"sp0050\" class=\"u-margin-s-bottom\"><span>Coastal salt&nbsp;marshes&nbsp;and&nbsp;estuaries&nbsp;provide valuable ecosystem services, yet are susceptible to alteration from human activities. Records of past environmental change in these ecosystems can elucidate relationships between human activities, such as land-use practices, and physical and ecological processes, such as sediment accretion and vegetation changes. To reconstruct the environmental history of one such site, we present inferences based on analysis of&nbsp;sediment cores&nbsp;(including&nbsp;magnetic susceptibility, loss-on-ignition, and pollen) from the Morro Bay salt marsh, located in California’s central coast in the&nbsp;USA. Chronologic control for the sediments was established using radiocarbon dates, a spike in lead (Pb) sourced from gasoline combustion exhaust, and the first identified occurrences of the non-native taxa&nbsp;</span><span>Erodium</span><span>&nbsp;</span>cf.<span>&nbsp;</span><i>cicutarium</i><span>&nbsp;</span>(filaree) and<span>&nbsp;</span><span>Eucalyptus</span><span>. We demonstrate that the Morro Bay watershed was significantly altered following Spanish settlement in the region. Environmental changes associated with&nbsp;livestock&nbsp;grazing and&nbsp;agriculture&nbsp;become evident in the data starting after 1772 CE, when the Mission San Luis Obispo de Tolosa was established nearby. The most prominent changes observed are an increase in the accumulation rate of terrigenous sediment, organic matter, and carbonates, as well as a reduction in arboreal taxa concomitant with increased abundances of shrubs, herbs, and grasses. The expansion of&nbsp;</span><span>Salicornia</span><span>&nbsp;(pickleweed) in the 19th century suggests the salt marsh expanded at this time due to increased sediment accumulation and a resulting increase in&nbsp;local elevation. The timing and character of changes recorded in the Morro Bay salt marsh sediments are similar to those documented across California in&nbsp;estuaries,&nbsp;marshes, lakes, and meadows, demonstrating the magnitude of the impacts of European settlement and associated land-use practices in this region.</span></div></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ancene.2022.100339","usgsCitation":"Broadman, E., Reidy, L.M., and Wahl, D., 2022, Late Holocene human-environment interactions on the central California coast, USA, inferred from Morro Bay salt marsh sediments: Anthropocene, v. 38, 100339, https://doi.org/10.1016/j.ancene.2022.100339.","productDescription":"100339","ipdsId":"IP-099787","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":462941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Broadman, Ellie 0000-0002-6794-3922","orcid":"https://orcid.org/0000-0002-6794-3922","contributorId":345205,"corporation":false,"usgs":false,"family":"Broadman","given":"Ellie","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":915984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reidy, Liam M.","contributorId":105372,"corporation":false,"usgs":true,"family":"Reidy","given":"Liam","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":916036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wahl, David 0000-0002-0451-3554","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":206113,"corporation":false,"usgs":true,"family":"Wahl","given":"David","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":915985,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231727,"text":"70231727 - 2022 - Streambank and floodplain geomorphic change and contribution to watershed material budgets","interactions":[],"lastModifiedDate":"2022-05-25T11:55:02.13662","indexId":"70231727","displayToPublicDate":"2022-05-19T06:50:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Streambank and floodplain geomorphic change and contribution to watershed material budgets","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Stream geomorphic change is highly spatially variable but critical to landform evolution, human infrastructure, habitat, and watershed pollutant transport. However, measurements and process models of streambank erosion and floodplain deposition and resulting sediment fluxes are currently insufficient to predict these rates in all perennial streams over large regions. Here we measured long-term lateral streambank and vertical floodplain change and sediment fluxes using dendrogeomorphology in streams around the U.S. Mid-Atlantic, and then statistically modeled and extrapolated these rates to all 74 133 perennial, nontidal streams in the region using watershed- and reach-scale predictors. Measured long-term rates of streambank erosion and floodplain deposition were highly spatially variable across the landscape from the mountains to the coast. Random Forest regression identified that geomorphic change and resulting fluxes of sediment and nutrients, for both streambank and floodplain, were most influenced by urban and agricultural land use and the drainage area of the upstream watershed. Modeled rates for headwater streams were net erosional whereas downstream reaches were on average net depositional, leading to regional cumulative sediment loads from streambank erosion (−5.1 Tg yr<sup>−1</sup>) being nearly balanced by floodplain deposition (+5.3 Tg yr<sup>−1</sup>). Geomorphic changes in stream valleys had substantial influence on watershed sediment, phosphorus, carbon, and nitrogen budgets in comparison to existing predictions of upland erosion and delivery to streams and of downstream sediment loading. The unprecedented scale of these novel findings provides important insights into the balance of erosion and deposition in streams within disturbed landscapes and the importance of geomorphic change to stream water quality and carbon sequestration, and provides vital understanding for targeting management actions to restore watersheds.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ac6e47","usgsCitation":"Noe, G.E., Hopkins, K.G., Claggett, P., Schenk, E., Metes, M.J., Ahmed, L., Doody, T.R., and Hupp, C.R., 2022, Streambank and floodplain geomorphic change and contribution to watershed material budgets: Environmental Research Letters, v. 17, 064015, 14 p., https://doi.org/10.1088/1748-9326/ac6e47.","productDescription":"064015, 14 p.","ipdsId":"IP-122680","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":447738,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac6e47","text":"Publisher Index Page"},{"id":435845,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93OUWYZ","text":"USGS data release","linkHelpText":"Predictions of floodplain and streambank geomorphic change and flux of sediment and nutrients, and streambed characteristics, for stream reaches in the Chesapeake Bay and Delaware River watersheds"},{"id":401036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.1904296875,\n              38.41916639395372\n            ],\n            [\n              -75.223388671875,\n       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khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Claggett, Peter 0000-0002-5335-2857","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":238920,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":843600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schenk, Edward R.","contributorId":202017,"corporation":false,"usgs":false,"family":"Schenk","given":"Edward R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":843602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Metes, Marina J. 0000-0002-6797-9837","orcid":"https://orcid.org/0000-0002-6797-9837","contributorId":204835,"corporation":false,"usgs":true,"family":"Metes","given":"Marina","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843598,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ahmed, Labeeb","contributorId":224412,"corporation":false,"usgs":false,"family":"Ahmed","given":"Labeeb","affiliations":[{"id":40879,"text":"Attain LLC","active":true,"usgs":false}],"preferred":false,"id":843599,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Doody, Thomas Rossiter 0000-0002-2102-738X tdoody@contractor.usgs.gov","orcid":"https://orcid.org/0000-0002-2102-738X","contributorId":223569,"corporation":false,"usgs":true,"family":"Doody","given":"Thomas","email":"tdoody@contractor.usgs.gov","middleInitial":"Rossiter","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":843601,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":843603,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70232125,"text":"70232125 - 2022 - Ecological divergence of wild birds drives avian influenza spillover and global spread","interactions":[],"lastModifiedDate":"2022-06-07T11:50:12.052979","indexId":"70232125","displayToPublicDate":"2022-05-19T06:47:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2981,"text":"PLoS Pathogens","active":true,"publicationSubtype":{"id":10}},"title":"Ecological divergence of wild birds drives avian influenza spillover and global spread","docAbstract":"<div class=\"abstract toc-section abstract-type-\"><div class=\"abstract-content\"><p>The diversity of influenza A viruses (IAV) is primarily hosted by two highly divergent avian orders: Anseriformes (ducks, swans and geese) and Charadriiformes (gulls, terns and shorebirds). Studies of IAV have historically focused on Anseriformes, specifically dabbling ducks, overlooking the diversity of hosts in nature, including gull and goose species that have successfully adapted to human habitats. This study sought to address this imbalance by characterizing spillover dynamics and global transmission patterns of IAV over 10 years at greater taxonomic resolution than previously considered. Furthermore, the circulation of viral subtypes in birds that are either host-adapted (low pathogenic H13, H16) or host-generalist (highly pathogenic avian influenza—HPAI H5) provided a unique opportunity to test and extend models of viral evolution. Using Bayesian phylodynamic modelling we uncovered a complex transmission network that relied on ecologically divergent bird hosts. The generalist subtype, HPAI H5 was driven largely by wild geese and swans that acted as a source for wild ducks, gulls, land birds, and domestic geese. Gulls were responsible for moving HPAI H5 more rapidly than any other host, a finding that may reflect their long-distance, pelagic movements and their immuno-naïve status against this subtype. Wild ducks, long viewed as primary hosts for spillover, occupied an optimal space for viral transmission, contributing to geographic expansion and rapid dispersal of HPAI H5. Evidence of inter-hemispheric dispersal via both the Pacific and Atlantic Rims was detected, supporting surveillance at high latitudes along continental margins to achieve early detection. Both neutral (geographic expansion) and non-neutral (antigenic selection) evolutionary processes were found to shape subtype evolution which manifested as unique geographic hotspots for each subtype at the global scale. This study reveals how a diversity of avian hosts contribute to viral spread and spillover with the potential to improve surveillance in an era of rapid global change.</p></div></div>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.ppat.1010062","usgsCitation":"Hill, N.J., Bishop, M., Trovao, N.S., Ineson, K., Schaefer, A., Puryear, W., Zhou, K., Foss, A., Clark, D., McKenzie, K., Gass, J.D., Borkenhagen, L., Hall, J.S., and Runstadler, J.A., 2022, Ecological divergence of wild birds drives avian influenza spillover and global spread: PLoS Pathogens, v. 18, no. 5, e1010062, 25 p., https://doi.org/10.1371/journal.ppat.1010062.","productDescription":"e1010062, 25 p.","ipdsId":"IP-135752","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":447742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.ppat.1010062","text":"Publisher Index Page"},{"id":401846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Hill, Nichola J.","contributorId":189563,"corporation":false,"usgs":false,"family":"Hill","given":"Nichola","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":844266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bishop, Mary Anne","contributorId":258847,"corporation":false,"usgs":false,"family":"Bishop","given":"Mary Anne","affiliations":[{"id":13600,"text":"Prince William Sound Science Center","active":true,"usgs":false}],"preferred":false,"id":844267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trovao, Nidia S.","contributorId":292310,"corporation":false,"usgs":false,"family":"Trovao","given":"Nidia","email":"","middleInitial":"S.","affiliations":[{"id":62865,"text":"Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, 20892, USA","active":true,"usgs":false}],"preferred":false,"id":844268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ineson, Katherine","contributorId":292311,"corporation":false,"usgs":false,"family":"Ineson","given":"Katherine","affiliations":[{"id":62867,"text":"Department of Natural Resources & the Environment, University of New Hampshire, Durham, NH 03824, USA","active":true,"usgs":false}],"preferred":false,"id":844269,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaefer, Anne","contributorId":292312,"corporation":false,"usgs":false,"family":"Schaefer","given":"Anne","email":"","affiliations":[{"id":62868,"text":"Prince William Sound Science Center, Cordova, AK, 99574, USA","active":true,"usgs":false}],"preferred":false,"id":844270,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Puryear, Wendy B.","contributorId":292313,"corporation":false,"usgs":false,"family":"Puryear","given":"Wendy B.","affiliations":[{"id":62870,"text":"Department of Infectious Disease and Global Health, Tufts University, North Grafton, MA 01536, USA","active":true,"usgs":false}],"preferred":false,"id":844271,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhou, Katherine","contributorId":292314,"corporation":false,"usgs":false,"family":"Zhou","given":"Katherine","email":"","affiliations":[{"id":62871,"text":"College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA","active":true,"usgs":false}],"preferred":false,"id":844272,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Foss, Alexa","contributorId":292315,"corporation":false,"usgs":false,"family":"Foss","given":"Alexa","email":"","affiliations":[{"id":62870,"text":"Department of Infectious Disease and Global Health, Tufts University, North Grafton, MA 01536, USA","active":true,"usgs":false}],"preferred":false,"id":844273,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Clark, Dan","contributorId":175111,"corporation":false,"usgs":false,"family":"Clark","given":"Dan","email":"","affiliations":[],"preferred":false,"id":844274,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McKenzie, Ken","contributorId":292316,"corporation":false,"usgs":false,"family":"McKenzie","given":"Ken","email":"","affiliations":[{"id":62872,"text":"Division of Water Supply Protection, Massachusetts Department of Conservation and Recreation, West Boylston, MA 01583, USA","active":true,"usgs":false}],"preferred":false,"id":844275,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gass, Jonathan D.","contributorId":292317,"corporation":false,"usgs":false,"family":"Gass","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[{"id":62870,"text":"Department of Infectious Disease and Global Health, Tufts University, North Grafton, MA 01536, USA","active":true,"usgs":false}],"preferred":false,"id":844276,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Borkenhagen, Laura","contributorId":292318,"corporation":false,"usgs":false,"family":"Borkenhagen","given":"Laura","email":"","affiliations":[{"id":62870,"text":"Department of Infectious Disease and Global Health, Tufts University, North Grafton, MA 01536, USA","active":true,"usgs":false}],"preferred":false,"id":844277,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":844279,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Runstadler, Jonathan A.","contributorId":24706,"corporation":false,"usgs":false,"family":"Runstadler","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":844280,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70231726,"text":"70231726 - 2022 - Integrating data types to estimate spatial patterns of avian migration across the Western Hemisphere","interactions":[],"lastModifiedDate":"2022-10-17T15:29:45.909866","indexId":"70231726","displayToPublicDate":"2022-05-19T06:43:20","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Integrating data types to estimate spatial patterns of avian migration across the Western Hemisphere","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>For many avian species, spatial migration patterns remain largely undescribed, especially across hemispheric extents. Recent advancements in tracking technologies and high-resolution species distribution models (i.e., eBird Status and Trends products) provide new insights into migratory bird movements and offer a promising opportunity for integrating independent data sources to describe avian migration. Here, we present a three-stage modeling framework for estimating spatial patterns of avian migration. First, we integrate tracking and band re-encounter data to quantify migratory connectivity, defined as the relative proportions of individuals migrating between breeding and nonbreeding regions. Next, we use estimated connectivity proportions along with eBird occurrence probabilities to produce probabilistic least-cost path (LCP) indices. In a final step, we use generalized additive mixed models (GAMMs) both to evaluate the ability of LCP indices to accurately predict (i.e., as a covariate) observed locations derived from tracking and band re-encounter datasets versus pseudo-absence locations during migratory periods, and to create a fully integrated (i.e., eBird occurrence, LCP, and tracking/band re-encounter data) spatial prediction index for mapping species-specific seasonal migrations. To illustrate this approach, we apply this framework to describe seasonal migrations of 12 bird species across the Western Hemisphere during pre- and post-breeding migratory periods (i.e., spring and fall, respectively). We found that including LCP indices with eBird occurrence in GAMMs generally improved the ability to accurately predict observed migratory locations, when compared to models with eBird occurrence alone. Using three performance metrics, the eBird + LCP model demonstrated equivalent or superior fit relative to the eBird-only model for 22 of 24 species-season GAMMs. In particular, the integrated index filled in spatial gaps for species with over-water movements and those that migrated over land where there were few eBird sightings, and thus, low predictive ability of eBird occurrence probabilities (e.g., Amazonian rainforest in South America). This methodology of combining individual-based seasonal movement data with temporally dynamic species distribution models provides a comprehensive approach for integrating multiple data types to describe broad-scale spatial patterns of animal movement. Further development and customization of this approach will continue to advance knowledge about the full annual cycle and conservation of migratory birds.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2679","usgsCitation":"Meehan, T., Saunders, S.P., DeLuca, W., Michel, N.L., Grand, J., Deppe, J., JImenez, M., Knight, E., Seavy, N.E., Smith, M., Taylor, L., Witko, C., Akresh, M., Barber, D.S., Bayne, D., Beasley, J., Belant, J.L., Bierregaard, R.O., Bildstein, K.L., Boves, T.J., Brzorad, J.N., Campbell, S.B., Celis-Murillo, A., Cooke, H., Domenech, R., Goodrich, L.J., Gow, E.A., Haines, A., Hallworth, M.T., Hill, J.M., Holland, A.E., Jennings, S., Kays, R., King, T., MacFarland, K., Mckenzie, S., Marra, P.P., McCabe, R., McFarland, K.P., McGrady, M.J., Melcer, J., Norris, R., Norvell, R., Rhodes Jr., O., Rimmer, C.C., Scarpignato, A.L., Shreading, A., Watson, J., and Wilsey, C., 2022, Integrating data types to estimate spatial patterns of avian migration across the Western Hemisphere: Ecological Applications, v. 32, no. 7, e2679, 17 p., https://doi.org/10.1002/eap.2679.","productDescription":"e2679, 17 p.","ipdsId":"IP-129775","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":447746,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2679","text":"Publisher Index Page"},{"id":401035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-07-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Meehan, Timothy","contributorId":291963,"corporation":false,"usgs":false,"family":"Meehan","given":"Timothy","affiliations":[{"id":27800,"text":"National Audubon 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