{"pageNumber":"155","pageRowStart":"3850","pageSize":"25","recordCount":46651,"records":[{"id":70237942,"text":"70237942 - 2022 - Biophysical methods and data analysis for simulating overland flow in the Everglades","interactions":[],"lastModifiedDate":"2022-11-01T11:41:07.002773","indexId":"70237942","displayToPublicDate":"2022-05-24T06:36:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12802,"text":"ESSOAr","active":true,"publicationSubtype":{"id":10}},"title":"Biophysical methods and data analysis for simulating overland flow in the Everglades","docAbstract":"<p><span>The Everglades in south Florida supply fresh drinking water for more than 7 million people, host a National Park, and are classified as a Ramsar wetland of international distinction. Predicting trajectories of water flow and water storage changes in the future is important to managing the Congressionally authorized restoration of the Everglades. Here we describe the needed data sources and analysis approaches to build the inputs for biophysically based modeling that can protect water and ecological resources in the face of changing water management and climate conditions. A biophysical approach to modeling overland flow in the Everglades can help predict future outcomes for ecological habitat, water storage during droughts, and water conveyance during floods. The needed data include measurements of vegetation stem architecture, microtopography, and landscape pattern metrics. Stem architecture measurements present the opportunity to estimate flow roughness of distinct vegetation communities based on hydraulic principles. At a larger scale, the microtopography and the connectivity of the sloughs between ridges offer a way to quantify the effects of flow blockage and tortuous flow paths on overland flow. Combined with theory these data provide the capacity to simulate overland flow in both the historical, pre-drainage Everglades as well as in the present-day managed Everglades. Also provided are the hydrologic data, e.g., water slopes, water depths and overland flow velocities, that can be used to verify a biophysical model. Ultimately, the purpose is to anticipate how changing flow and water depth will interact with evolving vegetation and landscape conditions to influence future water availability for society and for the ecosystem, both in the Everglades and in other low-gradient floodplains.</span></p>","language":"English","publisher":"Earth and Space Science Open Archive","doi":"10.1002/essoar.10511451.1","usgsCitation":"Harvey, J., and Choi, J., 2022, Biophysical methods and data analysis for simulating overland flow in the Everglades: ESSOAr, 51 p., https://doi.org/10.1002/essoar.10511451.1.","productDescription":"51 p.","ipdsId":"IP-140509","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":447677,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/essoar.10511451.1","text":"External Repository"},{"id":435841,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DQYB1O","text":"USGS data release","linkHelpText":"Biophysical Data for Simulating Overland Flow in the Everglades"},{"id":408968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.07811851388726,\n              26.46536235501027\n            ],\n            [\n              -82.07811851388726,\n              24.821342005916392\n            ],\n            [\n              -79.90282554513692,\n              24.821342005916392\n            ],\n            [\n              -79.90282554513692,\n              26.46536235501027\n            ],\n            [\n              -82.07811851388726,\n              26.46536235501027\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219104,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Jay 0000-0003-1276-481X jchoi@usgs.gov","orcid":"https://orcid.org/0000-0003-1276-481X","contributorId":219096,"corporation":false,"usgs":true,"family":"Choi","given":"Jay","email":"jchoi@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":856292,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70232278,"text":"70232278 - 2022 - The importance of lake emergent aquatic vegetation for estimating Arctic-boreal methane emissions","interactions":[],"lastModifiedDate":"2022-06-27T13:34:20.25476","indexId":"70232278","displayToPublicDate":"2022-05-23T18:24:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"The importance of lake emergent aquatic vegetation for estimating Arctic-boreal methane emissions","docAbstract":"<p>Areas of lakes that support emergent aquatic vegetation emit disproportionately more methane than open water but are under-represented in upscaled estimates of lake greenhouse gas emissions. These shallow areas are typically less than ∼1.5&nbsp;m deep and can be detected with synthetic aperture radar (SAR). To assess the importance of lake emergent vegetation (LEV) zones to landscape-scale methane emissions, we combine airborne SAR mapping with field measurements of vegetated and open-water methane flux. First, we use Uninhabited Aerial Vehicle SAR data from the NASA Arctic-Boreal Vulnerability Experiment to map LEV in 4,572 lakes across four Arctic-boreal study areas and find it comprises ∼16% of lake area, exceeding previous estimates, and exhibiting strong regional differences (averaging 59 [50–68]%, 22 [20–25]%, 1.0 [0.8–1.2]%, and 7.0 [5.0–12]% of lake areas in the Peace-Athabasca Delta, Yukon Flats, and northern and southern Canadian Shield, respectively). Next, we account for these vegetated areas through a simple upscaling exercise using paired methane fluxes from regions of open water and LEV. After excluding vegetated areas that could be accounted for as wetlands, we find that inclusion of LEV increases overall lake emissions by 21 [18–25]% relative to estimates that do not differentiate lake zones. While LEV zones are proportionately greater in small lakes, this relationship is weak and varies regionally, underscoring the need for methane-relevant remote sensing measurements of lake zones and a consistent criterion for distinguishing wetlands. Finally, Arctic-boreal lake methane upscaling estimates can be improved with more measurements from all lake zones.</p>","language":"English","publisher":"Wiley","doi":"10.1029/2021JG006635","usgsCitation":"Kyzivat, E.D., Smith, L., Garcia-Tigreros, F., Huang, C., Wang, C., Langhorst, T., Fayne, J.V., Harlan, M., Ishitsuka, Y., Feng, D., Dolan, W., Pitcher, L.H., Wickland, K., Dornblaser, M., Striegl, R.G., Pavelsky, T.M., Butman, D.E., and Gleason, C.J., 2022, The importance of lake emergent aquatic vegetation for estimating Arctic-boreal methane emissions: Journal of Geophysical Research: Biogeosciences, v. 127, e2021, 23 p., https://doi.org/10.1029/2021JG006635.","productDescription":"e2021, 23 p.","ipdsId":"IP-135368","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes 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0000-0001-8694-9046","orcid":"https://orcid.org/0000-0001-8694-9046","contributorId":194744,"corporation":false,"usgs":false,"family":"Garcia-Tigreros","given":"Fenix","email":"","affiliations":[],"preferred":false,"id":844972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huang, Chang","contributorId":292526,"corporation":false,"usgs":false,"family":"Huang","given":"Chang","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":844973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Chao","contributorId":292527,"corporation":false,"usgs":false,"family":"Wang","given":"Chao","email":"","affiliations":[{"id":27517,"text":"University of North Carolina - Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":844974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Langhorst, Theodore","contributorId":292528,"corporation":false,"usgs":false,"family":"Langhorst","given":"Theodore","email":"","affiliations":[{"id":27517,"text":"University of North Carolina - Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":844975,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fayne, Jessica V.","contributorId":292529,"corporation":false,"usgs":false,"family":"Fayne","given":"Jessica","email":"","middleInitial":"V.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":844976,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harlan, Merritt E.","contributorId":292530,"corporation":false,"usgs":false,"family":"Harlan","given":"Merritt E.","affiliations":[{"id":62930,"text":"UMass-Amherst","active":true,"usgs":false}],"preferred":false,"id":844977,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ishitsuka, Yuta","contributorId":292531,"corporation":false,"usgs":false,"family":"Ishitsuka","given":"Yuta","email":"","affiliations":[{"id":62930,"text":"UMass-Amherst","active":true,"usgs":false}],"preferred":false,"id":844978,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Feng, Dongmei","contributorId":219349,"corporation":false,"usgs":false,"family":"Feng","given":"Dongmei","email":"","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":844979,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dolan, Wayana 0000-0001-8405-4302","orcid":"https://orcid.org/0000-0001-8405-4302","contributorId":265350,"corporation":false,"usgs":false,"family":"Dolan","given":"Wayana","email":"","affiliations":[{"id":27051,"text":"University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":844980,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pitcher, Lincoln H.","contributorId":169006,"corporation":false,"usgs":false,"family":"Pitcher","given":"Lincoln","email":"","middleInitial":"H.","affiliations":[{"id":13022,"text":"Department of Geography, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":844981,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":208471,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":844982,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Dornblaser, Mark 0000-0002-6298-3757","orcid":"https://orcid.org/0000-0002-6298-3757","contributorId":220741,"corporation":false,"usgs":true,"family":"Dornblaser","given":"Mark","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":844983,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":844984,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Pavelsky, Tamlin M.","contributorId":258838,"corporation":false,"usgs":false,"family":"Pavelsky","given":"Tamlin","email":"","middleInitial":"M.","affiliations":[{"id":52312,"text":"Department of Geological Sciences, University of North Carolina, Chapel Hill, North Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":844985,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Butman, David E.","contributorId":145535,"corporation":false,"usgs":false,"family":"Butman","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":16142,"text":"School of Environmental and Forest Sciences & Environmental Engineering, University of Washington, Seattle","active":true,"usgs":false}],"preferred":false,"id":844986,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Gleason, Colin J.","contributorId":169003,"corporation":false,"usgs":false,"family":"Gleason","given":"Colin","email":"","middleInitial":"J.","affiliations":[{"id":13022,"text":"Department of Geography, University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":844987,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70237019,"text":"70237019 - 2022 - Teams, networks, and networks of networks advancing our understanding and conservation of inland waters","interactions":[],"lastModifiedDate":"2022-09-27T18:26:23.163194","indexId":"70237019","displayToPublicDate":"2022-05-23T12:57:32","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Teams, networks, and networks of networks advancing our understanding and conservation of inland waters","docAbstract":"Networks are defined as groups of interconnected people and things, and by this definition, networks play a major role in the science of inland waters. In this article, we bring the latest social network research to understand and improve inland waters science and conservation outcomes. What we found is that relationships matter.\n\nDifferent teams and networks have different objectives and lifespans. Consider this: Data collection networks may persist for decades, whereas knowledge-generating teams may exist only for months. The structure of connections in a network determines how easily information or resources can flow or pass through a network, which then influences the ability of the network to accomplish work like creating and applying new knowledge, integrating knowledge across fields, or coordinating collective action.\n\nWhen independent networks designed around different purposes become connected to achieve new goals, a network of networks is formed, where each layer is a unique network defined by social, geographic, and temporal boundaries and distinct types of connections. This structure has a lot of potential for transformative work, but is especially susceptible to failure if one of the cross-network connections fails.\n\nFrom the smallest of inland waters research teams to the largest, multi-institutional, international collaborations, an understanding of how the connections between people are created and maintained can be used to set up conditions for success.","largerWorkTitle":"Encyclopedia of inland waters","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-819166-8.00054-2","usgsCitation":"Read, E., Cross, J., Herman-Mercer, N.M., Oliver, S.K., and O’Reilly, C.M., 2022, Teams, networks, and networks of networks advancing our understanding and conservation of inland waters, chap. <i>of</i> Encyclopedia of inland waters, v. 4, p. 607-624, https://doi.org/10.1016/B978-0-12-819166-8.00054-2.","productDescription":"18 p.","startPage":"607","endPage":"624","ipdsId":"IP-126937","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":407456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","edition":"2nd","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Tockner, Klement","contributorId":224174,"corporation":false,"usgs":false,"family":"Tockner","given":"Klement","email":"","affiliations":[{"id":40838,"text":"FWF Austrian Science Fund","active":true,"usgs":false}],"preferred":false,"id":853141,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Mehner, Thomas","contributorId":272917,"corporation":false,"usgs":false,"family":"Mehner","given":"Thomas","email":"","affiliations":[{"id":38332,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":853142,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Read, Emily 0000-0002-9617-9433 eread@usgs.gov","orcid":"https://orcid.org/0000-0002-9617-9433","contributorId":190110,"corporation":false,"usgs":true,"family":"Read","given":"Emily","email":"eread@usgs.gov","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":853096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Jennifer 0000-0002-5582-4192","orcid":"https://orcid.org/0000-0002-5582-4192","contributorId":297016,"corporation":false,"usgs":false,"family":"Cross","given":"Jennifer","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":853097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herman-Mercer, Nicole M. 0000-0001-5933-4978 nhmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-5933-4978","contributorId":3927,"corporation":false,"usgs":true,"family":"Herman-Mercer","given":"Nicole","email":"nhmercer@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":853098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":853099,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Reilly, Catherine M.","contributorId":150334,"corporation":false,"usgs":false,"family":"O’Reilly","given":"Catherine","email":"","middleInitial":"M.","affiliations":[{"id":18004,"text":"Illinois State University","active":true,"usgs":false}],"preferred":false,"id":853100,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236937,"text":"70236937 - 2022 - Intrapopulation differences in polar bear movement and step selection patterns","interactions":[],"lastModifiedDate":"2022-09-22T11:38:20.457404","indexId":"70236937","displayToPublicDate":"2022-05-23T06:34:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Intrapopulation differences in polar bear movement and step selection patterns","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>The spatial ecology of individuals often varies within a population or species. Identifying how individuals in different classes interact with their environment can lead to a better understanding of population responses to human activities and environmental change and improve population estimates. Most inferences about polar bear (<i>Ursus maritimus</i>) spatial ecology are based on data from adult females due to morphological constraints on applying satellite radio collars to other classes of bears. Recent studies, however, have provided limited movement data for adult males and sub-adults of both sexes using ear-mounted and glue-on tags. We evaluated class-specific movements and step selection patterns for polar bears in the Chukchi Sea subpopulation during spring.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We developed hierarchical Bayesian models to evaluate polar bear movement (i.e., step length and directional persistence) and step selection at the scale of 4-day step lengths. We assessed differences in movement and step selection parameters among the three classes of polar bears (i.e., adult males, sub-adults, and adult females without cubs-of-the-year).</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Adult males had larger step lengths and less directed movements than adult females. Sub-adult movement parameters did not differ from the other classes but point estimates were most similar to adult females. We did not detect differences among polar bear classes in step selection parameters and parameter estimates were consistent with previous studies.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Our findings support the use of estimated step selection patterns from adult females as a proxy for other classes of polar bears during spring. Conversely, movement analyses indicated that using data from adult females as a proxy for the movements of adult males is likely inappropriate. We recommend that researchers consider whether it is valid to extend inference derived from adult female movements to other classes, based on the questions being asked and the spatial and temporal scope of the data. Because our data were specific to spring, these findings highlight the need to evaluate differences in movement and step selection during other periods of the year, for which data from ear-mounted and glue-on tags are currently lacking.</p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-022-00326-5","usgsCitation":"Wilson, R., St Martin, M., Regehr, E.V., and Rode, K.D., 2022, Intrapopulation differences in polar bear movement and step selection patterns: Movement Ecology, v. 10, 25, 12 p., https://doi.org/10.1186/s40462-022-00326-5.","productDescription":"25, 12 p.","ipdsId":"IP-135708","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":447686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-022-00326-5","text":"Publisher Index Page"},{"id":407206,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2022-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Ryan R. ","contributorId":222456,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan R. ","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":852744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"St Martin, Michelle","contributorId":296903,"corporation":false,"usgs":false,"family":"St Martin","given":"Michelle","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":852745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":852746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":852747,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252816,"text":"70252816 - 2022 - Environmental drivers of cyanobacterial abundance and cyanotoxin production in backwaters of the Upper Mississippi River","interactions":[],"lastModifiedDate":"2024-04-08T23:47:34.73073","indexId":"70252816","displayToPublicDate":"2022-05-22T08:46:21","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Environmental drivers of cyanobacterial abundance and cyanotoxin production in backwaters of the Upper Mississippi River","docAbstract":"<p>High densities of cyanobacteria in aquatic ecosystems can cause impacts to ecosystem services because they serve as a poor-quality food resource, produce toxins and can indirectly cause a variety of other negative impacts to water quality. There are many hypotheses about the potential environmental drivers of variation in cyanobacterial abundance and toxicity, but these hypotheses have rarely been considered in combination and rarely been examined in large river ecosystems. Here we use monthly data from backwater habitats of the Upper Mississippi River (UMR) to evaluate associations between environmental conditions and cyanobacterial abundance and toxicity (microcystin and anatoxin-a) that would be expected based on several hypotheses. Backwaters in the Mississippi River vary in flushing rate, temperature, turbidity, nutrient availability, water depth and vegetative cover. We find support for hypotheses that suggest physical conditions in backwaters (flushing rate, temperature, turbidity, rooted vegetation cover and water depth) and nutrient availability influence cyanobacterial abundance and toxicity. We then used structural equation modeling to incorporate several hypotheses into a causal modeling framework, which indicated that backwater connectivity (flushing) strongly influences cyanobacterial abundance via the regulation of water temperature, and that nutrient availability strongly influences the presence of microcystin concentrations above our detection limit. Our data suggest that management of backwater connectivity could influence cyanobacterial abundance and toxicity in UMR backwaters. Reconnecting backwaters (via alteration of levees) could serve as a local adaptation to minimize the effects of climate change and excessive nutrient loading.&nbsp;</p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3987","usgsCitation":"Giblin, S.M., Larson, J.H., and King, J.D., 2022, Environmental drivers of cyanobacterial abundance and cyanotoxin production in backwaters of the Upper Mississippi River: River Research and Applications, v. 38, no. 6, p. 1115-1128, https://doi.org/10.1002/rra.3987.","productDescription":"14 p.","startPage":"1115","endPage":"1128","ipdsId":"IP-134311","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":427556,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Stares","state":"Wisconsin","otherGeospatial":"Blue Lake, Great River Backwater, Indian Slough, Lizzy Paul's Pond, Mertes Lake, Second Lake, Stoddard Backwater, Trempealeau Wildlife Refuge, Upper Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.7533542542472,\n              44.157127527506105\n            ],\n            [\n              -91.7533542542472,\n              43.58283679178368\n            ],\n            [\n              -90.94310098095912,\n              43.58283679178368\n            ],\n            [\n              -90.94310098095912,\n              44.157127527506105\n            ],\n            [\n              -91.7533542542472,\n              44.157127527506105\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"38","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Giblin, Shawn M.","contributorId":335419,"corporation":false,"usgs":false,"family":"Giblin","given":"Shawn","email":"","middleInitial":"M.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":898322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":898323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Jeremy D.","contributorId":335420,"corporation":false,"usgs":false,"family":"King","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":898324,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227789,"text":"70227789 - 2022 - Greenhouse gas balances in coastal ecosystems: Current challenges in “blue carbon” estimation and significance to national greenhouse gas inventories","interactions":[],"lastModifiedDate":"2022-09-12T16:49:50.821961","indexId":"70227789","displayToPublicDate":"2022-05-21T11:39:56","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"12","title":"Greenhouse gas balances in coastal ecosystems: Current challenges in “blue carbon” estimation and significance to national greenhouse gas inventories","docAbstract":"<p id=\"sp0045\">Coastal wetlands are defined herein as inundated, vegetated ecosystems with hydrology, and biogeochemistry influenced by sea levels, at timescales of tides to millennia. Coastal wetlands are necessary components of global greenhouse gas estimation and scenario modeling, both for continental and oceanic mass balances. The carbon pools and fluxes on coastal lands, especially those influenced by tidal drivers and sea level rise, are distinct in their magnitude, rates, and uncertainties. We describe herein the pathways taken for a US scale estimation of blue carbon based on annual timesteps and bottom-up modeling, as appropriate for the first effort to include coastal wetlands in the Intergovernmental Panel on Climate Change (IPCC) guidelines for a National Greenhouse Gas Inventory (NGGI). As such, we summarize multiple efforts to reconcile mapping, modeling, and measurement issues and we report the assumptions we made based on data availability. Provided as requested feedback to the IPCC.</p><p id=\"sp0050\">Subsidiary Body for Scientific and Technological Advice (SBSTA) evaluation of guidance criteria, these analyses synergistically point scientists, practitioners, and policy makers toward the greatest uncertainties to address in future assessments: coastal wetland methane emissions and carbon dioxide emissions associated with the fate of eroded soil. This is a story of what was learned in the 2014–2018 NASA Carbon Monitoring System project (https://carbon.nasa.gov/cgi-bin/cms_projects.pl), how it informs “good practice” (IPCC 2006) in reporting coastal wetland emissions and removals, and where it points scientifically toward data needs at different temporal and spatial scales.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","publisherLocation":"Balancing greenhouse gas budgets: Accounting for natural and anthropogenic flows of CO2 and other trace gases","doi":"10.1016/B978-0-12-814952-2.00001-0","usgsCitation":"Windham-Myers, L., Holmquist, J., Kroeger, K.D., and Troxler, T., 2022, Greenhouse gas balances in coastal ecosystems: Current challenges in “blue carbon” estimation and significance to national greenhouse gas inventories, p. 403-425, https://doi.org/10.1016/B978-0-12-814952-2.00001-0.","productDescription":"23 p.","startPage":"403","endPage":"425","ipdsId":"IP-123602","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":406543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":832252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holmquist, James R.","contributorId":272628,"corporation":false,"usgs":false,"family":"Holmquist","given":"James R.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":832253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":832254,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Troxler, Tiffany G.","contributorId":272629,"corporation":false,"usgs":false,"family":"Troxler","given":"Tiffany G.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":832255,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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":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":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              72.39570570653261\n            ],\n            [\n              -164.00390625,\n              69.33383491964828\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"242","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmermann, Mark 0000-0002-5786-3814","orcid":"https://orcid.org/0000-0002-5786-3814","contributorId":200380,"corporation":false,"usgs":false,"family":"Zimmermann","given":"Mark","email":"","affiliations":[],"preferred":false,"id":843888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":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":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":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":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":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":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 Society","active":true,"usgs":false}],"preferred":false,"id":843548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saunders, Sarah P.","contributorId":192752,"corporation":false,"usgs":false,"family":"Saunders","given":"Sarah","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":843549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeLuca, William","contributorId":192836,"corporation":false,"usgs":false,"family":"DeLuca","given":"William","affiliations":[],"preferred":false,"id":843550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Michel, Nicole L","contributorId":237015,"corporation":false,"usgs":false,"family":"Michel","given":"Nicole","email":"","middleInitial":"L","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843551,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grand, Joanna","contributorId":291964,"corporation":false,"usgs":false,"family":"Grand","given":"Joanna","email":"","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843552,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Deppe, JIll","contributorId":291965,"corporation":false,"usgs":false,"family":"Deppe","given":"JIll","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843553,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"JImenez, MIguel","contributorId":291966,"corporation":false,"usgs":false,"family":"JImenez","given":"MIguel","email":"","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843554,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Knight, Erika","contributorId":291969,"corporation":false,"usgs":false,"family":"Knight","given":"Erika","email":"","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843555,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Seavy, Nathaniel E.","contributorId":191595,"corporation":false,"usgs":false,"family":"Seavy","given":"Nathaniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":843556,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, Melanie A.","contributorId":261673,"corporation":false,"usgs":false,"family":"Smith","given":"Melanie A.","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843557,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Taylor, Lotem","contributorId":291970,"corporation":false,"usgs":false,"family":"Taylor","given":"Lotem","email":"","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843558,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Witko, Chad","contributorId":291974,"corporation":false,"usgs":false,"family":"Witko","given":"Chad","email":"","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843559,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Akresh, Michael","contributorId":291979,"corporation":false,"usgs":false,"family":"Akresh","given":"Michael","email":"","affiliations":[{"id":62791,"text":"Department of Environmental Studies, Antioch University New England","active":true,"usgs":false}],"preferred":false,"id":843560,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Barber, David S.","contributorId":177195,"corporation":false,"usgs":false,"family":"Barber","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":843561,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bayne, David","contributorId":291982,"corporation":false,"usgs":false,"family":"Bayne","given":"David","email":"","affiliations":[{"id":62792,"text":"Department of Biological Sciences, University of Alberta, Edmonton","active":true,"usgs":false}],"preferred":false,"id":843562,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Beasley, James","contributorId":172814,"corporation":false,"usgs":false,"family":"Beasley","given":"James","affiliations":[{"id":27094,"text":"University of Georgia, Savannah River Ecology Laboratory, Warnell School of Forestry and Natural Resources, PO Drawer E, Aiken, SC 29802","active":true,"usgs":false}],"preferred":false,"id":843563,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Belant, Jerrold L.","contributorId":108394,"corporation":false,"usgs":false,"family":"Belant","given":"Jerrold","email":"","middleInitial":"L.","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":843564,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Bierregaard, Richard O","contributorId":245032,"corporation":false,"usgs":false,"family":"Bierregaard","given":"Richard","email":"","middleInitial":"O","affiliations":[{"id":12436,"text":"University of North Carolina at Charlotte","active":true,"usgs":false}],"preferred":false,"id":843565,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Bildstein, Keith L.","contributorId":150854,"corporation":false,"usgs":false,"family":"Bildstein","given":"Keith","email":"","middleInitial":"L.","affiliations":[{"id":18119,"text":"Hawk Mountain Sanctuary, Acopian Center for Conservation 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,{"id":70231652,"text":"ofr20221045 - 2022 - Yuma Ridgway’s rail selenium exposure and occupancy within managed and unmanaged emergent marshes at the Salton Sea","interactions":[],"lastModifiedDate":"2026-03-27T20:17:10.887094","indexId":"ofr20221045","displayToPublicDate":"2022-05-18T12:28:11","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1045","displayTitle":"Yuma Ridgway’s Rail Selenium Exposure and Occupancy Within Managed and Unmanaged Emergent Marshes at the Salton Sea","title":"Yuma Ridgway’s rail selenium exposure and occupancy within managed and unmanaged emergent marshes at the Salton Sea","docAbstract":"<p>Yuma Ridgway’s rail (<i>Rallus obsoletus yumanensis</i>, hereafter, rail) is an endangered species for which patches of emergent marsh within the Salton Sea watershed comprise a substantial part of habitat for the species’ disjointed range in the southwestern United States. These areas of emergent marsh include (1) marshes managed by federal (particularly the U.S. Fish and Wildlife Service’s Sonny Bono Salton Sea National Wildlife Refuge), state (California Department of Fish and Wildlife), and local (Imperial Irrigation District) resource agencies that are sustained by direct deliveries of Colorado River water and (2) unmanaged marshes sustained by agricultural drainage water. Management of rail habitat in this arid environment is complicated by increasingly limited availability of unimpaired freshwater owing to water management decisions associated with the Quantification Settlement Agreement and risks posed by potentially harmful concentrations of selenium found in agricultural drainage water that can readily bioaccumulate in aquatic food webs.</p><p>To provide timely science for managers, herein we report summary statistics for managed and unmanaged emergent marshes sampled at the Salton Sea during the rail breeding season of 2016 pertaining to (1) selenium concentrations in food webs representing dietary pathways of selenium exposure and (2) patterns of rail occupancy and inter-marsh movements, estimated abundance, and regional population size of rail. For selenium-specific objectives, we sampled unfiltered surface water, midge larvae (Chironomidae), water boatmen (Corixidae), mosquitofish (<i>Gambusia</i> spp.), and crayfish (Astacidae). Selenium samples were collected from 15 fixed sampling points, each in managed and unmanaged marshes, during late February, April, and June 2016, which corresponded to rail pre-nesting, nesting, and fledgling reproductive life-stages, respectively. Two areas within the two treatment types (managed versus unmanaged marsh) were of particular interest to help assess risks associated with changing sea dynamics and different water-management strategies: (1) a large unmanaged marsh (Morton Bay) unintentionally created in approximately 2008 when it became separated from the Salton Sea as water inflows began to drop and a berm formed from accumulated sediment and (2) a restored marsh (HZ9A) managed by the Sonny Bono Salton Sea National Wildlife Refuge, which is currently supplied with Colorado River water but may be sustained in the future by a blend of clean (that is, low selenium) Colorado River and agricultural drainage water with higher selenium from the Alamo River. Hence, baseline data for these marshes are important for future management decisions. We also report selenium concentrations in rail blood, head feathers, and breast feathers from rails captured as part of the movement study. Results indicated relatively higher risks from dietary selenium exposure for rails occupying unmanaged marshes compared to managed marshes and similar risks among unmanaged marshes. However, risks also were potentially elevated for rails occupying some managed marshes (that is, the Hazard Marshes), where relatively high proportions of Chironomidae and mosquitofish exceeded dietary thresholds for selenium effects on avian reproduction.</p><p>For rail-specific objectives, we quantified occupancy and spatial distribution using call count data analyzed with imperfect detection models. Imperfect detection models allowed us to jointly estimate detection probability and abundance of detected rails in association with habitats. We then used estimates of detection probability and abundance at the habitat level to extrapolate rail population abundance for the Salton Sea region. Inter- and intra-marsh movements were described from over 5,000 locations obtained from 15 radio-marked rails. Resultant space use patterns indicated that, in general, selenium risk to individuals is not equally shared because of high levels of territoriality and very limited movement throughout the landscape. Moreover, the largest contiguous blocks of habitat are associated with unmanaged marshlands located on the former southeastern shoreline and outside traditional management areas and authorities. Thus, a substantial proportion of the rail population that is using unmanaged marsh on the southeastern shoreline may have disproportionate risk of elevated selenium exposure, yet how that risk translates to population-level effects remains unknown.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221045","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Ricca, M.A., Overton, C.T., Anderson, T.W., Merritt, A., Harrity, E., Matchett, E., and Casazza, M.L., 2022, Yuma Ridgway’s rail selenium exposure and occupancy within managed and unmanaged emergent marshes at the Salton Sea: U.S. Geological Survey Open-File Report 2022–1045, 49 p., https://doi.org/10.3133/ofr20221045.","productDescription":"Report: x, 49 p.; 2 Data Releases","numberOfPages":"49","onlineOnly":"Y","ipdsId":"IP-115651","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":400780,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1045/ofr20221045.xml"},{"id":501775,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113059.htm","linkFileType":{"id":5,"text":"html"}},{"id":400770,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R39F33","text":"Selenium concentrations in Yuma Ridgway's Rails occupying managed and unmanaged emergent marshes at the Salton Sea","description":"Ricca, M.A, Overton, C.T., Anderson, T.W., Merritt, A., Harrity, E. Matchett, E., and Casazza, M.L., 2022, Selenium concentrations in Yuma Ridgway’s Rails occupying managed and unmanaged emergent marshes at the Salton Sea: U.S. Geological Survey data release, https://doi.org/10.5066/P9R39F33."},{"id":400769,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JRP0L6","text":"Yuma Ridgway’s Rail (<i>Rallus obsoletus yumanensis</i>) Population Surveys, Rail Movement, and Potential Habitat at the Salton Sea of California","description":"Overton, C.T., Ricca, M.A., Anderson, T.W., Merritt, A.M., Harrity, E., Matchett, E.L., Casazza, M.L., 2022, Yuma Ridgway’s rail (Rallus obsoletus yumanensis) population surveys, rail movement, and potential habitat at the Salton Sea of California: U.S. Geological Survey data release, https://doi.org/10.5066/P9JRP0L6."},{"id":400768,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1045/images"},{"id":400767,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/ofr20221045/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":400766,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1045/ofr20221045.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":400765,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1045/covrthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Salton Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.6365966796875,\n              33.128351191631566\n            ],\n            [\n              -115.51849365234374,\n              33.128351191631566\n            ],\n            [\n              -115.51849365234374,\n              33.30298618122413\n            ],\n            [\n              -115.6365966796875,\n              33.30298618122413\n            ],\n            [\n              -115.6365966796875,\n              33.128351191631566\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/%20centers/%20werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/ centers/ werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Objectives&nbsp;&nbsp;</li><li>Methods&nbsp;&nbsp;</li><li>Results&nbsp;&nbsp;</li><li>Summary&nbsp;&nbsp;</li><li>References Cited&nbsp;</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2022-05-18","noUsgsAuthors":false,"publicationDate":"2022-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":843240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":843241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Thomas W.","contributorId":44049,"corporation":false,"usgs":true,"family":"Anderson","given":"Thomas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":843242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merritt, Angela amerritt@usgs.gov","contributorId":5894,"corporation":false,"usgs":true,"family":"Merritt","given":"Angela","email":"amerritt@usgs.gov","affiliations":[],"preferred":true,"id":843243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harrity, Eamon","contributorId":279973,"corporation":false,"usgs":false,"family":"Harrity","given":"Eamon","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":843244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matchett, Elliott 0000-0001-5095-2884 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,{"id":70231643,"text":"fs20223008 - 2022 - Geospatial analysis delineates lode gold prospectivity in Alaska","interactions":[],"lastModifiedDate":"2026-03-24T21:10:26.673974","indexId":"fs20223008","displayToPublicDate":"2022-05-18T09:20:26","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3008","displayTitle":"Geospatial Analyses Delineate Lode Gold Prospectivity in Alaska","title":"Geospatial analysis delineates lode gold prospectivity in Alaska","docAbstract":"<p>Comprehensive, data-driven geographic information system analyses utilize publicly available lithologic, geochemical, geophysical, and mineral occurrence datasets to delineate gold resource potential in Alaska. These prospectivity analyses successfully identify areas containing known lode gold occurrences, expand areas of high prospectivity around known occurrences, improve the precision of delineation of areas of high prospectivity for lode gold deposit types, and determine new areas that may have potential for gold deposits. These analyses indicate prospectivity in areas where exposure is good and in areas where exposure is poor, which provide useful guidance for land-use decisions and exploration strategies.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223008","collaboration":"Prepared in cooperation with the Alaska Division of Geological & Geophysical Surveys and the Bureau of Land Management","usgsCitation":"Karl, S.M., Kreiner, D.C., Case, G.N.D., and Labay, K., 2022, Geospatial analysis delineates lode gold prospectivity in Alaska: U.S. Geological Survey Fact Sheet 2022–3008, 4 p., https://doi.org/10.3133/fs20223008.","productDescription":"Report: 4 p.; Data Release","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-130560","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":400745,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CAM3F9","text":"Data and results for GIS-based identification of areas that have resource potential for lode gold deposits in Alaska","description":"Karl, S.M., Kreiner, D.C., Case, G.N.D., Labay, K.A., Shew, N.B., Granitto, M., Wang, B., and Anderson, E.D., 2021, Data and results for GIS-based identification of areas that have resource potential for lode gold deposits in Alaska: U.S. Geological Survey data release, https://doi.org/10.5066/P9CAM3F9."},{"id":400741,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3008/covrthb.jpg"},{"id":400763,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20211041","text":"Open-File Report 2021-1041","description":"Karl, S.M., Kreiner, D.C., Case, G.N.D., Labay, K.A., Shew, N.B., Granitto, M., Wang, B., and Anderson, E.D., 2021, GIS-based identification of areas that have resource potential for lode gold in Alaska (ver. 1.1, October 2021): U.S. Geological Survey Open-File Report 2021–1041, 75 p., 9 plates, https://doi.org/10.3133/ofr20211041.","linkHelpText":"- GIS-based identification of areas that have resource potential for lode gold in Alaska"},{"id":501484,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113060.htm","linkFileType":{"id":5,"text":"html"}},{"id":400742,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3008/fs20223008.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United 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href=\"https://www.usgs.gov/centers/asc/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/connect\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<ul><li>GIS-Based Method of Analysis&nbsp;</li><li>Results of Prospectivity Analyses for Conventional Lode Gold Deposit Types in Alaska&nbsp;&nbsp;</li><li>Prospectivity Models for Lode Gold-Forming Systems in Alaska&nbsp;</li><li>Comparison of Gold Ore-Forming Systems&nbsp;</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-05-18","noUsgsAuthors":false,"publicationDate":"2022-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":843209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":843210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Case, George N.D. 0000-0001-9826-5661 gcase@usgs.gov","orcid":"https://orcid.org/0000-0001-9826-5661","contributorId":224941,"corporation":false,"usgs":true,"family":"Case","given":"George","email":"gcase@usgs.gov","middleInitial":"N.D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":843211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":217714,"corporation":false,"usgs":true,"family":"Labay","given":"Keith","email":"klabay@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":843212,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70231595,"text":"ofr20221024 - 2022 - Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2020","interactions":[],"lastModifiedDate":"2026-03-27T20:03:48.787042","indexId":"ofr20221024","displayToPublicDate":"2022-05-17T14:31:30","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1024","displayTitle":"Continuous Stream Discharge, Salinity, and Associated Data Collected in the Lower St. Johns River and Its Tributaries, Florida, 2020","title":"Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2020","docAbstract":"<p>The U.S. Army Corps of Engineers, Jacksonville District, is deepening the St. Johns River channel in Jacksonville, Florida, from 40 to 47 feet along 13 miles of the river channel beginning at the mouth of the river at the Atlantic Ocean, in order to accommodate larger, fully loaded cargo vessels. The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, monitored stage, discharge, and (or) water temperature and salinity at 26 continuous data collection stations in the St. Johns River and its tributaries.</p><p>This is the fifth annual report by the U.S. Geological Survey on data collection for the Jacksonville Harbor deepening project. The report contains information pertinent to data collection during the 2020 water year, from October 2019 to September 2020. The addition of water-quality data collection at St. Johns River at Buffalo Bluff near Satsuma was the only modification to the previously installed network.</p><p>Discharge and salinity varied widely during the data collection period, which included above-average rainfall for 3 of the 5 counties in the study area. Total annual rainfall for all counties ranked third among the annual totals computed for the 5 years considered for this study. Annual mean discharge at Clapboard Creek was highest among the tributaries, followed by Ortega River, Durbin Creek, Pottsburg Creek at U.S. 90, Cedar River, Trout River, Julington Creek, Pottsburg Creek near South Jacksonville, Dunn Creek, and Broward River, whose annual mean was lowest. Annual mean discharge at 8 of the 10 tributary monitoring sites was higher for the 2020 water year than for the 2019 water year, and the computed annual mean flow at Clapboard Creek was the highest over the 5 years considered for this study. The annual mean discharge for each of the main-stem sites was higher for the 2020 water year than for the 2019 water year except for Buffalo Bluff, which remained the same.</p><p>Among the tributary sites, annual mean salinity was highest at Clapboard Creek, the site closest to the Atlantic Ocean, and was lowest at Durbin Creek, the site farthest from the ocean. Annual mean salinity data from the main-stem sites on the St. Johns River indicate that salinity decreased with distance upstream from the ocean, which was expected. Relative to annual mean salinity calculated for the 2019 water year, annual mean salinity at all monitoring locations was higher for the 2020 water year except at the tributary sites of Trout River, Dunn Creek, and Clapboard Creek, which were lower, and Durbin Creek, which remained the same. The 2020 annual mean salinity on the main-stem of the St. Johns River was the highest since the beginning of the study in 2016 at Dancy Point, Racy Point, Shands Bridge, below Shands Bridge, above Buckman Bridge, and Jacksonville (Acosta Bridge). Among the tributary sites, annual mean salinity rankings for 2020 were highest for Julington Creek and Ortega River, which were the second-highest on record for those sites.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221024","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Ryan, P.J., 2022, Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2020: U.S. Geological Survey Open-File Report 2022–1024, 48 p., https://doi.org/10.3133/ofr20221024.","productDescription":"Report: ix, 48 p.; Dataset","numberOfPages":"62","onlineOnly":"Y","ipdsId":"IP-133884","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":400657,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1024/coverthb.jpg"},{"id":400658,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1024/ofr20221024.pdf","text":"Report","size":"3.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1024"},{"id":400659,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1024/ofr20221024.XML"},{"id":400660,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1024/images"},{"id":400661,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":401171,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/ofr20221024/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":501767,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113057.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"St. Johns River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.27935791015625,\n              29.14736383122664\n            ],\n            [\n              -80.38970947265625,\n              29.14736383122664\n            ],\n            [\n              -80.38970947265625,\n              30.56226095049944\n            ],\n            [\n              -82.27935791015625,\n              30.56226095049944\n            ],\n            [\n              -82.27935791015625,\n              29.14736383122664\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/car-fl-water\" data-mce-href=\"https://www.usgs.gov/centers/car-fl-water\">Caribbean-Florida Water Science Center</a> <br>U.S. Geological Survey <br>4446 Pet Lane, Suite 108 <br>Lutz, FL 33559</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2022-05-17","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Patrick J. 0000-0002-1490-4938 pryan@usgs.gov","orcid":"https://orcid.org/0000-0002-1490-4938","contributorId":203974,"corporation":false,"usgs":true,"family":"Ryan","given":"Patrick","email":"pryan@usgs.gov","middleInitial":"J.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":843091,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70231507,"text":"sir20225027 - 2022 - Water quality in the Missouri River alluvial aquifer near the Independence, Missouri, well field, 1997–2018","interactions":[],"lastModifiedDate":"2026-04-09T17:05:32.40873","indexId":"sir20225027","displayToPublicDate":"2022-05-17T14:15:50","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5027","displayTitle":"Water Quality in the Missouri River Alluvial Aquifer near the Independence, Missouri, Well Field, 1997–2018","title":"Water quality in the Missouri River alluvial aquifer near the Independence, Missouri, well field, 1997–2018","docAbstract":"<p>Groundwater-quality data collected from 1997 through 2018 from 68 monitoring locations open to the Missouri River alluvial aquifer (hereafter referred to as the “alluvial aquifer”) near the Independence, Missouri, well field were analyzed by the U.S. Geological Survey, in cooperation with the City of Independence, Missouri. This analysis was done to assess the quality of the water in the alluvial aquifer near the well field, identify trends in water quality in the alluvial aquifer from 1997 through 2018, assess hydraulic interaction between the Missouri River and the groundwater system, identify potential threats to the potability of the water extracted from the well field, and identify ways to improve the monitoring effort. Water-quality data indicate that water from the Missouri River recharges the alluvial aquifer. Recharge is exacerbated by pumping from the well field so that the quality of the water pumped from the well field is similar to that of the river for many constituents. Water-quality data indicate that the alluvial aquifer is under oxygen- and nitrate-reducing conditions, and iron- and manganese-reducing conditions are present in most of the alluvial aquifer. Sulfate-reducing conditions are present along the northern and western parts of the monitoring network north of the Missouri River. Maximum contaminant levels for antimony, arsenic, barium, lead, selenium, and uranium were exceeded in at least one sample, and the median concentrations of arsenic exceeded the maximum contaminant level in several monitoring wells on the periphery of the well field. Secondary maximum contaminant levels were exceeded for iron, manganese, and sulfate in multiple wells. Low concentrations of a variety of organic compounds, primarily derived from recharge from the Missouri River with lesser amounts potentially derived from application at land surface in the study area, are present in the alluvial aquifer and in water extracted from the well field.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225027","collaboration":"Prepared in cooperation with the City of Independence, Missouri","usgsCitation":"Kay, R.T., Krempa, H.M., and Hulsey, K.M., 2022, Water quality in the Missouri River alluvial aquifer near the Independence, Missouri, well field, 1997–2018: U.S. Geological Survey Scientific Investigations Report 2022–5027, 63 p., https://doi.org/10.3133/sir20225027.","productDescription":"Report: vi, 63 p.; Appendixes; Dataset","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-113521","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":400531,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5027/images"},{"id":400528,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5027/coverthb.jpg"},{"id":400529,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5027/sir20225027.pdf","text":"Report","size":"3.89 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5027"},{"id":400530,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5027/sir20225027.XML"},{"id":400533,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5027/sir20225027_appendix1.xlsx","text":"Appendix 1","size":"204 kB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"—Tables 1.1 to 1.70"},{"id":400534,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5027/sir20225027_appendix1.zip","text":"Appendix 1","size":"61 kB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"—Tables 1.1 to 1.70"},{"id":400535,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5027/sir20225027_appendix2.xlsx","text":"Appendix 2","size":"68.8 kB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"—Tables 2.1 to 2.30"},{"id":400536,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5027/sir20225027_appendix2.zip","text":"Appendix 2","size":"16 kB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"—Tables 2.1 to 2.30"},{"id":400537,"rank":9,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":400723,"rank":10,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20225027/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":502384,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113058.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Missouri","city":"Independence","otherGeospatial":"Missouri River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.46765899658203,\n              39.08876842889136\n            ],\n            [\n              -94.37633514404297,\n              39.08876842889136\n            ],\n            [\n              -94.37633514404297,\n              39.165471994238374\n            ],\n            [\n              -94.46765899658203,\n              39.165471994238374\n            ],\n            [\n              -94.46765899658203,\n              39.08876842889136\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a> <br>U.S. Geological Survey<br>1400 Independence Road <br>Rolla, MO 65401</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Sample Collection, Laboratory Analysis, and Data Reporting</li><li>Data Analysis</li><li>Water Quality near the Independence Well Field</li><li>Implications for Future Monitoring</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Summary Statistics for Selected Constituents in Samples from the Independence Well Field, 2008–18</li><li>Appendix 2. Summary of Organic Compounds Detected in Samples from the Independence Well Field, 2008–18</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-05-17","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Kay, Robert T. 0000-0002-6281-8997 rtkay@usgs.gov","orcid":"https://orcid.org/0000-0002-6281-8997","contributorId":1122,"corporation":false,"usgs":true,"family":"Kay","given":"Robert","email":"rtkay@usgs.gov","middleInitial":"T.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krempa, Heather M. 0000-0002-1556-6934 hkrempa@usgs.gov","orcid":"https://orcid.org/0000-0002-1556-6934","contributorId":148999,"corporation":false,"usgs":true,"family":"Krempa","given":"Heather","email":"hkrempa@usgs.gov","middleInitial":"M.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":false,"id":842804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hulsey, Katie M. 0000-0003-2126-5975","orcid":"https://orcid.org/0000-0003-2126-5975","contributorId":291641,"corporation":false,"usgs":false,"family":"Hulsey","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842805,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231442,"text":"ofr20221026 - 2022 - Aqueous geochemistry of waters and hydrogeology of alluvial deposits, Pinnacles National Park, California","interactions":[],"lastModifiedDate":"2022-05-18T13:39:36.214057","indexId":"ofr20221026","displayToPublicDate":"2022-05-17T13:38:28","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1026","displayTitle":"Aqueous Geochemistry of Waters and Hydrogeology of Alluvial Deposits, Pinnacles National Park, California","title":"Aqueous geochemistry of waters and hydrogeology of alluvial deposits, Pinnacles National Park, California","docAbstract":"<p>A cooperative study between the National Park Service (NPS) and the U.S. Geological Survey (USGS) characterized groundwater quality and hydrogeology in parts of Pinnacles National Park. The water-quality investigation assessed the geochemistry of springs, wells, surface water, and precipitation and analyzed geochemistry of rock formations that affect the water chemistry through water-rock interaction. The hydrogeology investigation used geophysical and groundwater level data to characterize groundwater-flow processes in the alluvial deposits of Bear Valley and the Chalone Creek watershed.</p><p>Analysis of aqueous geochemical parameters in water samples from perennial springs, water-supply wells, and surface waters was conducted for samples collected after the dry season (autumnal) and after the wet season (vernal) to assess changes in geochemistry due to changes in groundwater levels or flow resulting from precipitation. The chemistry of bulk precipitation collected during the wet season was also analyzed. Bedrock samples were analyzed for geochemical parameters to help constrain groundwater sources, flow paths, and weathering. The geochemical investigations show a correspondence between the source rock and the spring-water chemistry that can be attributed to the mineralogy of the source rock. The narrow range of strontium isotopes in water samples, sourced in geochemically and mineralogically disparate rocks, indicates that the bedrock groundwater is relatively old and has reached quasi-steady state with respect to weathering of susceptible minerals.</p><p>Groundwater-level monitoring indicated that the water table is shallow—from 0 to 10 meters (m) below land surface. In southern Bear Valley and in the Chalone Creek alluvium, water levels rose and declined by several meters over each annual cycle of this study. In northern Bear Valley, water levels rose modestly over two wet seasons but declined during a third wet season. In Bear Valley, groundwater/surface-water interaction occurs along the perennial reach of Sandy Creek. Groundwater discharges to the upstream part of the reach, becomes surface water and is partly consumed by evapotranspiration, and infiltrates farther downstream. In the Chalone Creek alluvium, runoff-generated surface-water flow in intermittent stream reaches is a major component of groundwater recharge. After the onset of significant streamflow, creek water rapidly recharges groundwater until water levels rise to nearly the creek level. Groundwater levels generally remain high throughout the wet season, then gradually decline after the creek becomes dry.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221026","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Scheiderich, K., Tiedeman, C.R., Hsieh, P.A., 2022, Aqueous geochemistry of waters and hydrogeology of alluvial deposits, Pinnacles National Park, California: U.S. Geological Survey Open-File Report 2022-1026, 39 p., https://doi.org/10.3133/ofr20221026.","productDescription":"Report: viii, 39 p.; 3 Data Releases","numberOfPages":"39","onlineOnly":"Y","ipdsId":"IP-129434","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":400733,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IZXRC0","text":"Streamflow data collected by the wading method, Pinnacles National Park, California, 2018","description":"Tiedeman, C.R., Ingebritsen, S.E., and Hsieh, P.A., 2021, Streamflow data collected by the wading method, Pinnacles National Park, California, 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9IZXRC0."},{"id":400732,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AMDH71","text":"Passive Seismic Data Collected for the Horizontal-to-Vertical Spectral Ratio (HVSR) Method, Pinnacles National Park, California, 2018-2020","description":"Tiedeman, C.R., and Hsieh, P.A., 2021, Passive Seismic Data Collected for the Horizontal-to-Vertical Spectral Ratio (HVSR) Method, Pinnacles National Park, California, 2018-2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9AMDH71."},{"id":400435,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1026/covrthb.jpg"},{"id":400731,"rank":3,"type":{"id":30,"text":"Data 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data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources\" href=\"https://www.usgs.gov/mission-areas/water-resources\" target=\"_blank\" rel=\"noopener\">WMA- Laboratory &amp; Analytical Services Division</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>USGS Headquarters<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Description of Study Area&nbsp;&nbsp;</li><li>Geochemistry&nbsp;&nbsp;</li><li>Hydrogeology of Bear Valley Alluvium and Chalone Creek Alluvium&nbsp;&nbsp;</li><li>Summary&nbsp;&nbsp;</li><li>Reference Cited&nbsp;&nbsp;</li><li>Appendix 1. Photographs of Selected Springs&nbsp;&nbsp;</li><li>Appendix 2. Constituents of Concern in Wells, Springs, and Surface Water&nbsp;&nbsp;</li><li>Appendix 3. Seismic Velocities</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-05-17","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Scheiderich, Kathleen 0000-0002-3756-8324","orcid":"https://orcid.org/0000-0002-3756-8324","contributorId":221339,"corporation":false,"usgs":true,"family":"Scheiderich","given":"Kathleen","email":"","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":842616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":842617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hsieh, Paul A. 0000-0003-4873-4874 pahsieh@usgs.gov","orcid":"https://orcid.org/0000-0003-4873-4874","contributorId":1634,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","email":"pahsieh@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":842618,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231641,"text":"fs20223031 - 2022 - 2022 Emergency Assistance Act — USGS recovery activities","interactions":[],"lastModifiedDate":"2022-05-17T17:00:03.310739","indexId":"fs20223031","displayToPublicDate":"2022-05-17T11:32:38","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3031","displayTitle":"2022 Emergency Assistance Act—USGS Recovery Activities","title":"2022 Emergency Assistance Act — USGS recovery activities","docAbstract":"<p>The Extending Government Funding and Delivering Emergency Assistance Act (Public Law 117-43) was enacted on September 30, 2021. The U.S. Geological Survey received $26.3 million in supplemental funding to repair and replace facilities and equipment, collect high-resolution elevation data, and complete scientific assessments to support direct recovery and rebuilding decisions in areas affected by declared disasters—earthquakes, wildfires, hurricanes, and floods—that occurred between 2019 and 2021.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223031","usgsCitation":"Hinck, J.E., and Stachyra, J., 2022, 2022 Emergency Assistance Act—USGS recovery activities: U.S. Geological Survey Fact Sheet 2022–3031, 4 p., https://doi.org/10.3133/fs20223031.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-139600","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":400692,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3031/fs20223031.XML"},{"id":400691,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3031/fs20223031.pdf","text":"Report","size":"3.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3031"},{"id":400690,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3031/coverthb.jpg"}],"contact":"<p>Associate Director, Natural Hazards Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>USGS Role in Recovery</li><li>Earthquake Response</li><li>Wildfire Response</li><li>Hurricane Response</li><li>Severe Storm Response</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-05-17","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":843198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stachyra, Joseph 0000-0002-1153-1742 jstachyra@usgs.gov","orcid":"https://orcid.org/0000-0002-1153-1742","contributorId":142,"corporation":false,"usgs":true,"family":"Stachyra","given":"Joseph","email":"jstachyra@usgs.gov","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":843199,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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