{"pageNumber":"303","pageRowStart":"7550","pageSize":"25","recordCount":165309,"records":[{"id":70238758,"text":"70238758 - 2023 - Modeling the dynamic penetration depth of post-1950s water in unconfined aquifers using environmental tracers: Central Valley, California","interactions":[],"lastModifiedDate":"2022-12-07T13:11:33.679909","indexId":"70238758","displayToPublicDate":"2022-12-05T07:09:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the dynamic penetration depth of post-1950s water in unconfined aquifers using environmental tracers: Central Valley, California","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">The penetration depth of post-1950s recharge (D-1950) in aquifers is a marker that is frequently used to identify groundwater that is susceptible to anthropogenic contamination. Here, we compute D-1950 values at wells, interpolate them in space, and project them across time to map the moving front of modern recharge in four dimensions in the Central Valley aquifer system, California, USA. Tracers of groundwater age (tritium, carbon-14, noble gases, sulfur hexafluoride, and chlorofluorocarbons) were collected at 650 wells spatially distributed throughout the Central Valley and were fit to a lumped-parameter model that assumes a logarithmic age-depth profile in the aquifer. For samples where tritium was present (&gt;0.3 tritium units), the model was used to predict D-1950 at wells screened above or across the modern-premodern interface (n&nbsp;=&nbsp;484). Wells with samples where tritium was absent (≤0.3 tritium units) were used to define the depth beyond which groundwater is completely premodern (n&nbsp;=&nbsp;166). Predicted D-1950 values were below the depth of screen bottoms for wells where groundwater is completely modern, and above the depth of screen tops for wells where groundwater is completely premodern. The interpolated surface of D-1950 is dynamic, less prone to extreme values, and produces maps with lower interpolation errors due to a higher spatial density of wells than maps based on the depth of premodern groundwater. Between 2005 and 2025, D-1950 is expected to deepen by 11 and 12&nbsp;m in the northern and southern parts of the Central Valley, respectively. Areas where D-1950 increases rapidly are likely to see increases in nitrate and other anthropogenic contaminants associated with the downward moving front of modern water.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2022.128818","usgsCitation":"Faulkner, K., Jurgens, B., Voss, S., Dupuy, D., and Levy, Z., 2023, Modeling the dynamic penetration depth of post-1950s water in unconfined aquifers using environmental tracers: Central Valley, California: Journal of Hydrology, v. 616, 128818, 14 p., https://doi.org/10.1016/j.jhydrol.2022.128818.","productDescription":"128818, 14 p.","ipdsId":"IP-130865","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":435552,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MA4MBP","text":"USGS data release","linkHelpText":"Central Valley Aquifer Age Dating Web Tool"},{"id":435551,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CL07RX","text":"USGS data release","linkHelpText":"Data for assessing the penetration depth post-1950s water in the Central Valley aquifer system, California (July 2022)"},{"id":410157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.8909609860649,\n              40.725785462097406\n            ],\n            [\n              -123.12090740207057,\n              41.057846544130285\n            ],\n            [\n              -122.81342079806942,\n              39.65201564752738\n            ],\n            [\n              -122.02274095920826,\n              37.69748533018377\n            ],\n            [\n              -120.74886788548812,\n              35.654353146053566\n            ],\n            [\n              -118.72824163062074,\n              34.54025513434168\n            ],\n            [\n              -117.67400184547287,\n              35.43991112996163\n            ],\n            [\n              -120.35352796605754,\n              38.389359440096\n            ],\n            [\n              -121.8909609860649,\n              40.725785462097406\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"616","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Faulkner, Kirsten 0000-0003-1628-2877","orcid":"https://orcid.org/0000-0003-1628-2877","contributorId":222341,"corporation":false,"usgs":true,"family":"Faulkner","given":"Kirsten","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":203430,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Stefan 0000-0003-1214-9358","orcid":"https://orcid.org/0000-0003-1214-9358","contributorId":217888,"corporation":false,"usgs":true,"family":"Voss","given":"Stefan","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dupuy, Danielle 0000-0001-9007-641X","orcid":"https://orcid.org/0000-0001-9007-641X","contributorId":222277,"corporation":false,"usgs":true,"family":"Dupuy","given":"Danielle","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Levy, Zeno F. 0000-0003-4580-2309","orcid":"https://orcid.org/0000-0003-4580-2309","contributorId":222340,"corporation":false,"usgs":true,"family":"Levy","given":"Zeno","middleInitial":"F.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858492,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70238779,"text":"70238779 - 2023 - Provenance, genotype, and flooding influence growth and resource acquisition characteristics in a clonal, riparian shrub","interactions":[],"lastModifiedDate":"2023-03-01T17:01:49.516963","indexId":"70238779","displayToPublicDate":"2022-12-03T08:59:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":724,"text":"American Journal of Botany","active":true,"publicationSubtype":{"id":10}},"title":"Provenance, genotype, and flooding influence growth and resource acquisition characteristics in a clonal, riparian shrub","docAbstract":"<h3 id=\"ajb216115-sec-0010-title\" class=\"article-section__sub-title section1\">Premise</h3><p>Riparian plants can exhibit intraspecific phenotypic variability across the landscape related to temperature and flooding gradients. Phenotypes that vary across a climate gradient are often partly genetically determined and may differ in their response to inundation. Changes to inundation patterns across a climate gradient could thus result in site-specific inundation responses. Phenotypic variability is more often studied in riparian trees, yet riparian shrubs are key elements of riparian systems and may differ from trees in phenotypic variability and environmental responses.</p><h3 id=\"ajb216115-sec-0020-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We tested if individuals of a clonal, riparian shrub,<span>&nbsp;</span><i>Pluchea sericea</i>, collected from provenances spanning a temperature gradient differed in their phenotypes and responses to inundation and to what degree such differences were related to genotype. Plants were subjected to different inundation depths and a subset genotyped. Variables related to growth and resource acquisition were measured and analyzed using hierarchical, multivariate Bayesian linear regressions.</p><h3 id=\"ajb216115-sec-0030-title\" class=\"article-section__sub-title section1\">Results</h3><p>Individuals from different provenances differed in their phenotypes, but not in their response to inundation. Phenotypes were not related to provenance temperature but were partially governed by genotype. Growth was more strongly influenced by inundation, while resource acquisition was more strongly controlled by genotype.</p><h3 id=\"ajb216115-sec-0040-title\" class=\"article-section__sub-title section1\">Conclusions</h3><p>Growth and resource acquisition responses in a clonal, riparian shrub are affected by changes to inundation and plant demographics in unique ways. Shrubs appear to differ from trees in their responses to environmental change. Understanding environmental effects on shrubs separately from those of trees will be a key part of evaluating environmental change impacts on riparian ecosystems.</p>","language":"English","publisher":"Botanical Society of America","doi":"10.1002/ajb2.16115","usgsCitation":"Palmquist, E.C., Ogle, K., Whitham, T.G., Allan, G.J., Shafroth, P., and Butterfield, B.J., 2023, Provenance, genotype, and flooding influence growth and resource acquisition characteristics in a clonal, riparian shrub: American Journal of Botany, v. 110, no. 2, e16115, 14 p., https://doi.org/10.1002/ajb2.16115.","productDescription":"e16115, 14 p.","ipdsId":"IP-141477","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":445175,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ajb2.16115","text":"Publisher Index Page"},{"id":435553,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9412RYV","text":"USGS data release","linkHelpText":"Arrowweed (Pluchea sericea) morphological and physiological response data from a greenhouse inundation experiment"},{"id":410282,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"110","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":858568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ogle, Kiona","contributorId":248351,"corporation":false,"usgs":false,"family":"Ogle","given":"Kiona","email":"","affiliations":[],"preferred":false,"id":858569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitham, Thomas G.","contributorId":174327,"corporation":false,"usgs":false,"family":"Whitham","given":"Thomas","email":"","middleInitial":"G.","affiliations":[{"id":27416,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Nothern Arizona University, Flagstaff, AZ 86011 USA","active":true,"usgs":false}],"preferred":false,"id":858570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allan, Gerard J.","contributorId":189075,"corporation":false,"usgs":false,"family":"Allan","given":"Gerard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":858571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":858572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":858573,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70238826,"text":"70238826 - 2023 - Learning from arid and urban aquatic ecosystems to inform more sustainable and resilient futures","interactions":[],"lastModifiedDate":"2022-12-13T12:52:49.994084","indexId":"70238826","displayToPublicDate":"2022-12-02T06:50:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Learning from arid and urban aquatic ecosystems to inform more sustainable and resilient futures","docAbstract":"<div id=\"ab015\" class=\"abstract author\"><div id=\"as015\"><p id=\"sp0015\">The hydrology and aquatic ecology of arid environments has long been understudied relative to temperate regions. Yet spatially and temporally intermittent and ephemeral waters characterized by flashy hydrographs typify arid regions that comprise a substantial proportion of the Earth. Additionally, drought, intense storms, and human modification of landscapes increasingly affect many temperate regions, resulting in hydrologic regimes more similar to aridlands. Here we review the contributions of Dr. Nancy Grimm to aridland hydrology and ecology, and applications of these insights to urban ecosystems and resilience of social-ecological-technological systems. Grimm catalyzed study of nitrogen cycling in streams and characterized feedbacks between surface water-groundwater exchange, nitrogen transformations, and aquatic biota. In aridlands, outcomes of these interactions depend on short- and long-term variation in the hydrologic regime. Grimm and colleagues applied hydrological and biogeochemical insights gained from study of aridland streams to urban ecosystems, integrating engineering, social and behavioral sciences, and geography. These studies evolved from characterizing the spatial heterogeneity of urban systems (i.e., watersheds, novel aquatic systems) and its influence on nutrient dynamics to an approach that evaluated human decision-making as a driver of disturbance regimes and changes in ecosystem function. Finally, Grimm and colleagues have applied principles of urban ecology to look toward the future of cities, considering scenarios of sustainable and resilient futures. We identify cross-cutting themes and approaches that have motivated discoveries across Grimm’s multi-decadal career, including spatial and temporal heterogeneity, hydrologic connectivity and regime, disturbance, systems thinking, and resilience. Finally, we emphasize Grimm’s broad contributions to science via support of long-term research, dedication to mentoring, and extensive collaborations that facilitated transdisciplinary research.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2022.128841","usgsCitation":"McPhillips, L., Berbes-Blazquez, M., Hale, R., Harms, T., Bisht, V., Caughman, L., Clinton, S., Cook, E., Dong, X., Edmonds, J., Gergel, S., Gomez, R., Hopkins, K.G., Iwaniec, D., Kim, Y., Kuhn, A., Larson, L., Lewis, D., Marti, E., Palta, M.M., Roach, W.J., and Ye, L., 2023, Learning from arid and urban aquatic ecosystems to inform more sustainable and resilient futures: Journal of Hydrology, v. 616, 128841, 13 p., https://doi.org/10.1016/j.jhydrol.2022.128841.","productDescription":"128841, 13 p.","ipdsId":"IP-145383","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":445177,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2022.128841","text":"Publisher Index Page"},{"id":410355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"616","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McPhillips, Lauren","contributorId":270777,"corporation":false,"usgs":false,"family":"McPhillips","given":"Lauren","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":858804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berbes-Blazquez, Marta","contributorId":299828,"corporation":false,"usgs":false,"family":"Berbes-Blazquez","given":"Marta","email":"","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":858805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hale, Rebecca 0000-0002-3552-3691","orcid":"https://orcid.org/0000-0002-3552-3691","contributorId":195753,"corporation":false,"usgs":false,"family":"Hale","given":"Rebecca","email":"","affiliations":[{"id":12865,"text":"Smithsonian Institute","active":true,"usgs":false}],"preferred":false,"id":858806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harms, Tamara K","contributorId":217764,"corporation":false,"usgs":false,"family":"Harms","given":"Tamara K","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":858807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bisht, Vanya","contributorId":299829,"corporation":false,"usgs":false,"family":"Bisht","given":"Vanya","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":858808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caughman, Lilana","contributorId":299830,"corporation":false,"usgs":false,"family":"Caughman","given":"Lilana","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":858809,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clinton, Sandra","contributorId":299831,"corporation":false,"usgs":false,"family":"Clinton","given":"Sandra","email":"","affiliations":[{"id":36866,"text":"University of North Carolina Charlotte","active":true,"usgs":false}],"preferred":false,"id":858810,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cook, Elizabeth","contributorId":299832,"corporation":false,"usgs":false,"family":"Cook","given":"Elizabeth","email":"","affiliations":[{"id":64959,"text":"Barnard College-Columbia University","active":true,"usgs":false}],"preferred":false,"id":858811,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dong, Xiaoli","contributorId":299833,"corporation":false,"usgs":false,"family":"Dong","given":"Xiaoli","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":858812,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Edmonds, Jennifer","contributorId":299834,"corporation":false,"usgs":false,"family":"Edmonds","given":"Jennifer","email":"","affiliations":[{"id":24777,"text":"Nevada State College","active":true,"usgs":false}],"preferred":false,"id":858813,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gergel, Sarah","contributorId":299835,"corporation":false,"usgs":false,"family":"Gergel","given":"Sarah","email":"","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":858814,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gomez, Rosa","contributorId":299836,"corporation":false,"usgs":false,"family":"Gomez","given":"Rosa","email":"","affiliations":[{"id":47555,"text":"University of Murcia","active":true,"usgs":false}],"preferred":false,"id":858815,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858816,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Iwaniec, David","contributorId":299837,"corporation":false,"usgs":false,"family":"Iwaniec","given":"David","email":"","affiliations":[{"id":52554,"text":"Georgia State University","active":true,"usgs":false}],"preferred":false,"id":858817,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kim, Yeowon","contributorId":299838,"corporation":false,"usgs":false,"family":"Kim","given":"Yeowon","email":"","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":858818,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Kuhn, Amanda","contributorId":299839,"corporation":false,"usgs":false,"family":"Kuhn","given":"Amanda","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":858819,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Larson, Libby","contributorId":299840,"corporation":false,"usgs":false,"family":"Larson","given":"Libby","email":"","affiliations":[{"id":64960,"text":"NASA Goddard Space Flight Center/SSAI","active":true,"usgs":false}],"preferred":false,"id":858820,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Lewis, David Bruce","contributorId":156433,"corporation":false,"usgs":false,"family":"Lewis","given":"David Bruce","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":858821,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Marti, Eugenia","contributorId":299842,"corporation":false,"usgs":false,"family":"Marti","given":"Eugenia","email":"","affiliations":[{"id":64961,"text":"Centre d’Estudis Avançats de Blanes","active":true,"usgs":false}],"preferred":false,"id":858822,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Palta, Monica M.","contributorId":221680,"corporation":false,"usgs":false,"family":"Palta","given":"Monica","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":858823,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Roach, W. John","contributorId":299845,"corporation":false,"usgs":false,"family":"Roach","given":"W.","email":"","middleInitial":"John","affiliations":[{"id":64962,"text":"SimBio","active":true,"usgs":false}],"preferred":false,"id":858824,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Ye, Lin","contributorId":299848,"corporation":false,"usgs":false,"family":"Ye","given":"Lin","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":858825,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70238973,"text":"70238973 - 2023 - Assessment of resource potential from mine tailings using geostatistical modeling for compositions: A methodology and application to Katherine Mine site, Arizona, USA","interactions":[],"lastModifiedDate":"2022-12-20T12:49:04.741255","indexId":"70238973","displayToPublicDate":"2022-12-02T06:37:23","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of resource potential from mine tailings using geostatistical modeling for compositions: A methodology and application to Katherine Mine site, Arizona, USA","docAbstract":"<p id=\"sp0135\">The mining industry, in most cases, targets a specific valuable commodity that is present in small quantities within large volumes of extracted material. After milling and processing, most of the extracted material and the effluents are stored as waste (tailings) in impoundments, such as dams or waste dumps, or are backfilled into underground mines. In time, tailing materials may become an issue of environmental and health concern due to the hazardous elements, ions, and oxides contained within the waste material. In addition, handling and storage of such waste in dams may pose the risk of dam failure with catastrophic consequences to nature and nearby communities. On the other hand, tailings may offer potential as secondary sources of critical elements (CEs), including rare earth elements (REEs), which may have been overlooked during primary production and processing. Therefore, treating mine tailings as a resource has economic and environmental benefits by reducing the waste from new and historical mine sites through remining. One of the critical steps for taking advantage of these benefits is to spatially quantify the resources and the pollutants, which require the application of adequate data analysis and modeling methods, often to compositional geochemical data. Utilizing adequate methods is especially important for correctly quantifying resource potential, as the quantities will often be at low concentrations.</p><p id=\"sp0140\">This work presents quantification of resource potential (Au, Ag, Cu, Zn, Pb) and elements of environmental concern (Hg and As) from the tailings of a historic mine site, Katherine Mine, AZ, USA. Data reported by the U.S. Bureau of Mines (USBM) after extensive field campaigns in the 1990s, including sampling from tailing impoundment and surrounding areas for geochemical characterization and geophysical surveys, were used. First, compositional data (CoDa) analysis was employed to explore associations of sampling locations, geochemical parts, and the clustering of samples. Next, sequential Gaussian simulation (SGSIM) was applied to samples that showed a genetic link to tailing material after isometric log-ratio transformation (ilr) and mix/max autocorrelation factor (MAF) transformation for spatial modeling and uncertainty evaluation. Geostatistical results revealed spatial variability of concentrations within the tailing area. Uncertainty evaluation based on realizations indicated that Cu (14.27–20.01&nbsp;t), Zn (44.23–76.23&nbsp;t), and Pb (22.56–38.28&nbsp;t) are the most abundant elements within a 5&nbsp;%–95&nbsp;% interval, followed by Ag and Au (~5.3 and 0.18&nbsp;t, at 50th percentile), respectively. Of the elements of health concern, As was found to be ~4.8&nbsp;t (50th percentile) in the tailing area. The work also showed that ~0.51&nbsp;t As, 0.005&nbsp;t Hg, 0.020&nbsp;t of Au, and 0.62&nbsp;t of Ag were carried to Lake Mohave by an ephemeral stream called Katherine Wash, which transects the tailings.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2022.107142","usgsCitation":"Karacan, C.O., Erten, O., and Martin-Fernandez, J.A., 2023, Assessment of resource potential from mine tailings using geostatistical modeling for compositions: A methodology and application to Katherine Mine site, Arizona, USA: Journal of Geochemical Exploration, v. 245, 107142, 23 p., https://doi.org/10.1016/j.gexplo.2022.107142.","productDescription":"107142, 23 p.","ipdsId":"IP-142163","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":410781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Katherine Mine site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.66102965470434,\n              35.592576061702815\n            ],\n            [\n              -114.66102965470434,\n              35.179363749635115\n            ],\n            [\n              -114.1226599998257,\n              35.179363749635115\n            ],\n            [\n              -114.1226599998257,\n              35.592576061702815\n            ],\n            [\n              -114.66102965470434,\n              35.592576061702815\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"245","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":859489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erten, Oktay","contributorId":300145,"corporation":false,"usgs":false,"family":"Erten","given":"Oktay","email":"","affiliations":[],"preferred":false,"id":859490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin-Fernandez, Josep Antoni","contributorId":300146,"corporation":false,"usgs":false,"family":"Martin-Fernandez","given":"Josep","email":"","middleInitial":"Antoni","affiliations":[],"preferred":false,"id":859491,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70256602,"text":"70256602 - 2023 - Differential hypoxia tolerance of eastern oysters from the northern Gulf of Mexico at elevated temperature","interactions":[],"lastModifiedDate":"2024-08-23T16:39:24.755117","indexId":"70256602","displayToPublicDate":"2022-12-01T11:33:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2277,"text":"Journal of Experimental Marine Biology and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Differential hypoxia tolerance of eastern oysters from the northern Gulf of Mexico at elevated temperature","docAbstract":"<p><span>Increasing prevalence of&nbsp;hypoxia&nbsp;in shallow waters of U.S. Gulf of Mexico (GoM)&nbsp;estuaries&nbsp;can pose a serious threat to&nbsp;eastern oysters&nbsp;(</span><i>Crassostrea virginica</i><span>). Their tolerance to&nbsp;hypoxia, however, is not well characterized, especially at elevated temperatures (&gt;30&nbsp;°C) typical of GoM&nbsp;estuaries&nbsp;in summer. Moreover, it is unknown whether differences in&nbsp;hypoxia&nbsp;tolerance exist between GoM oyster populations growing in estuaries differing in local environmental conditions. Wild oyster&nbsp;broodstocks&nbsp;were collected from four estuarine sites in Texas (Packery Channel, PC and Aransas Bay, AB) and Louisiana (Calcasieu Lake, CL and Vermilion Bay, VB) and their adult progenies (F1) were tested (Study 1) under continuous&nbsp;hypoxia&nbsp;(&lt;2.0&nbsp;mg O</span><sub>2</sub><span>&nbsp;L</span><sup>−1</sup><span>) at 32&nbsp;°C. Significant differences in hypoxia tolerance were found between F1 populations with calculated median lethal time (LT</span><sub>50</sub><span>) ranging from 3.9 to 12.5&nbsp;days. PC and CL oysters were the most and least tolerant populations, respectively. The study was repeated twice more (Studies 2 and 3) using PC and CL oysters, and their responses at the organismic, cellular, and biochemical levels were investigated. Valve movement was monitored, and oysters were sampled to measure&nbsp;hemocyte&nbsp;density,&nbsp;plasma protein, calcium and&nbsp;glutathione&nbsp;concentrations, and digestive gland&nbsp;alanine&nbsp;and&nbsp;succinate&nbsp;concentrations after either 3–5&nbsp;days (Study 2) or 1–3&nbsp;days (Study 3) of hypoxia exposure. From the onset of hypoxia until their death, oysters stayed opened 13–32% of the time compared to 53–64% under&nbsp;normoxia, but no differences between populations were detected under hypoxia. PC oyster but not CL oyster plasma&nbsp;glutathione&nbsp;concentrations increased significantly in both studies. Under longer (3–5&nbsp;days) hypoxia exposure,&nbsp;plasma calcium&nbsp;and&nbsp;glutathione&nbsp;concentrations of PC oysters were significantly higher than CL oysters. These results suggest PC oysters were better able to protect tissues against acidosis and oxidative damage during hypoxia and high temperature stress than CL oysters. Overall, our results indicate that oyster populations originating from the GoM vary in their response to hypoxia and high temperature stress and possess differential tolerance.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jembe.2022.151840","usgsCitation":"Coxe, N., Casas, S.M., Marshall, D., La Peyre, M., Kelly, M.W., and La Peyre, J.F., 2023, Differential hypoxia tolerance of eastern oysters from the northern Gulf of Mexico at elevated temperature: Journal of Experimental Marine Biology and Ecology, v. 559, 151840, 11 p., https://doi.org/10.1016/j.jembe.2022.151840.","productDescription":"151840, 11 p.","ipdsId":"IP-142239","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499844,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/animalsciences_pubs/2258","text":"External Repository"},{"id":433112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Louisiana, Mississippi, Texas","otherGeospatial":"Northern Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.41593828686382,\n              26.24620150154975\n            ],\n            [\n              -87.8147474310154,\n              30.18094270243091\n            ],\n            [\n              -88.19816867786844,\n              31.00775203702119\n            ],\n            [\n              -95.65904444535767,\n              29.715904561157274\n            ],\n            [\n              -98.19488550583708,\n              27.38532092313082\n            ],\n            [\n              -97.41593828686382,\n              26.24620150154975\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"559","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Coxe, Nicholas","contributorId":341331,"corporation":false,"usgs":false,"family":"Coxe","given":"Nicholas","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":908246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casas, Sandra M.","contributorId":145452,"corporation":false,"usgs":false,"family":"Casas","given":"Sandra","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":908247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Danielle A.","contributorId":239867,"corporation":false,"usgs":false,"family":"Marshall","given":"Danielle A.","affiliations":[{"id":48014,"text":"School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":908248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908249,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelly, Morgan W.","contributorId":341332,"corporation":false,"usgs":false,"family":"Kelly","given":"Morgan","email":"","middleInitial":"W.","affiliations":[{"id":13321,"text":"Texas A & M University","active":true,"usgs":false}],"preferred":false,"id":908250,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"La Peyre, Jerome F.","contributorId":177346,"corporation":false,"usgs":false,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":908252,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70256608,"text":"70256608 - 2023 - Can spatial food web subsidies associated with river hydrology and lateral connectivity be detected using stable isotopes?","interactions":[],"lastModifiedDate":"2024-08-26T15:56:50.395757","indexId":"70256608","displayToPublicDate":"2022-12-01T10:39:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"title":"Can spatial food web subsidies associated with river hydrology and lateral connectivity be detected using stable isotopes?","docAbstract":"<p><span>During and following lateral connections,&nbsp;aquatic organisms&nbsp;residing in the river channel may assimilate material from sources imported from oxbows, and oxbow residents may consume and assimilate material imported from the channel. Hydrology, lateral connectivity, and&nbsp;stable isotope&nbsp;ratios of fishes and mussels were analyzed for evidence of spatial food web subsidies between the active channel and&nbsp;oxbow lakes&nbsp;in the&nbsp;floodplain&nbsp;of the Guadalupe River, Texas. During surveys conducted between March 2016 and April 2017, fish, mussel, periphyton,&nbsp;seston, and riparian plant samples were collected in and around two oxbows and adjacent channel sites for analysis of&nbsp;stable isotope&nbsp;ratios. Biplots of δ</span><sup>13</sup><span>C and δ</span><sup>15</sup><span>N were graphed for basal sources and specimens of six common fish species, four&nbsp;sunfish&nbsp;species (</span><span>Lepomis<i>&nbsp;spp.</i></span><span>&nbsp;combined), and two mussel species (Unionidae combined) captured from oxbows and the channel. Within each graph, polygons were drawn to indicate the space occupied by animals that could have assimilated feasible combinations of source materials originating from either oxbows or the river channel. Based on positions of animals within source polygons, riparian C4 grasses were not an important source of organic matter supporting biomass of fishes and mussels within the channel or oxbows. Overall, 84% of organisms had isotopic signatures consistent with assimilation of&nbsp;</span><i>in situ</i><span>&nbsp;sources, but also 76% of all organisms were inconclusive with regards to cross-habitat exchanges. Outliers that may have assimilated&nbsp;</span><i>ex situ</i><span>&nbsp;source material were observed for only 4% of 313 organisms from oxbows and 9% of 232 organisms from the channel, and some but not all of these cases followed high flow pulses that connected oxbows for extended periods. Several issues that compromise inferences from stable isotope analysis were identified, and estimation of spatial food web subsidies in fluvial systems could be enhanced by analyzing additional biomarkers, such as&nbsp;isotopic ratios&nbsp;of other elements and compound-specific stable isotopes, as well as additional sources, time-specific biotracers, and experimental approaches that directly track movement of sources and organisms in spatially structured food webs.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2022.e00264","usgsCitation":"Winemiller, K.O., Andrade, M.C., Arantes, C.C., Bokhutlo, T., Bower, L.M., Cunha, E.R., Keppeler, F.W., Lopez-Delgado, E.O., Quintana, Y., Saenz, D.E., Mayes, K.B., and Robertson, C.R., 2023, Can spatial food web subsidies associated with river hydrology and lateral connectivity be detected using stable isotopes?: Food Webs, v. 34, e00264, 18 p., https://doi.org/10.1016/j.fooweb.2022.e00264.","productDescription":"e00264, 18 p.","ipdsId":"IP-142927","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Guadalupe River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.5,\n              29.5\n            ],\n            [\n              -97.5,\n              28.5\n            ],\n            [\n              -96.75,\n              28.5\n            ],\n            [\n              -96.75,\n              29.5\n            ],\n            [\n              -97.5,\n              29.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Winemiller, Kirk O.","contributorId":265134,"corporation":false,"usgs":false,"family":"Winemiller","given":"Kirk","email":"","middleInitial":"O.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrade, Marcelo C.","contributorId":341348,"corporation":false,"usgs":false,"family":"Andrade","given":"Marcelo","email":"","middleInitial":"C.","affiliations":[{"id":41700,"text":"Universidade Federal do Pará","active":true,"usgs":false}],"preferred":false,"id":908278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arantes, Caroline C.","contributorId":169463,"corporation":false,"usgs":false,"family":"Arantes","given":"Caroline","email":"","middleInitial":"C.","affiliations":[{"id":13321,"text":"Texas A & M University","active":true,"usgs":false}],"preferred":false,"id":908279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bokhutlo, Thethela","contributorId":341350,"corporation":false,"usgs":false,"family":"Bokhutlo","given":"Thethela","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bower, Luke Max 0000-0002-0739-858X","orcid":"https://orcid.org/0000-0002-0739-858X","contributorId":341034,"corporation":false,"usgs":true,"family":"Bower","given":"Luke","email":"","middleInitial":"Max","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908280,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cunha, Eduardo R.","contributorId":341351,"corporation":false,"usgs":false,"family":"Cunha","given":"Eduardo","email":"","middleInitial":"R.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908282,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Keppeler, Friedrich W.","contributorId":341352,"corporation":false,"usgs":false,"family":"Keppeler","given":"Friedrich","email":"","middleInitial":"W.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908283,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lopez-Delgado, Edwin O.","contributorId":341353,"corporation":false,"usgs":false,"family":"Lopez-Delgado","given":"Edwin","email":"","middleInitial":"O.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908284,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Quintana, Yasmin","contributorId":341354,"corporation":false,"usgs":false,"family":"Quintana","given":"Yasmin","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908285,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Saenz, David E.","contributorId":341355,"corporation":false,"usgs":false,"family":"Saenz","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908286,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mayes, Kevin B.","contributorId":341356,"corporation":false,"usgs":false,"family":"Mayes","given":"Kevin","email":"","middleInitial":"B.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":908287,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Robertson, Clint R.","contributorId":341357,"corporation":false,"usgs":false,"family":"Robertson","given":"Clint","email":"","middleInitial":"R.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":908288,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70248260,"text":"70248260 - 2023 - Hydroclimate and fire paleorecords across the southern Rockies and Colorado Plateau over the common era","interactions":[],"lastModifiedDate":"2026-03-19T14:46:05.60671","indexId":"70248260","displayToPublicDate":"2022-12-01T09:44:02","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydroclimate and fire paleorecords across the southern Rockies and Colorado Plateau over the common era","docAbstract":"<p>The southwestern US has been experiencing a severe drought and increased fire activity over the past two decades, affecting people’s health, homes, and businesses. Many individual fires occurring in the Southwest are the most severe in recorded history both in terms of dollars of damages as well as in fire extent. It is essential to be able to place the present drought and fires into the context of the current changing climate as well as in the framework of climate variability and human activity over centennial to millennial timescales. Dendrochronology can determine both the seasonality of fires as well as changes in precipitation. Charcoal, pollen, and the biomarkers levoglucosan, mannosan, and galactosan can help determine fire activity and the type of burned vegetation. People have controlled and utilized fire in the southwestern US for thousands of years. While proxies cannot yet determine if people ignited a specific fire, fecal sterols can determine if people were within an individual watershed. Here, we examine the strengths and weaknesses of using high-resolution tree-ring data in conjunction with biomarkers in ice and lake cores from the southwestern US to study interactions between changes in hydroclimate, fires, and human activity.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 89th annual western snow conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Western Snow Conference","usgsCitation":"Kehrwald, N.M., and Brice, R.L., 2023, Hydroclimate and fire paleorecords across the southern Rockies and Colorado Plateau over the common era, <i>in</i> Proceedings of the 89th annual western snow conference, p. 41-45.","productDescription":"5 p.","startPage":"41","endPage":"45","ipdsId":"IP-143647","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":420531,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://westernsnowconference.org/proceedings/"},{"id":501308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kehrwald, Natalie M. 0000-0002-9160-2239 nkehrwald@usgs.gov","orcid":"https://orcid.org/0000-0002-9160-2239","contributorId":168918,"corporation":false,"usgs":true,"family":"Kehrwald","given":"Natalie","email":"nkehrwald@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":882138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brice, Rebecca Lynn 0000-0003-0023-5988","orcid":"https://orcid.org/0000-0003-0023-5988","contributorId":247868,"corporation":false,"usgs":true,"family":"Brice","given":"Rebecca","email":"","middleInitial":"Lynn","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":882139,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70248044,"text":"70248044 - 2023 - Burmese python size and reproduction: Fact vs fiction","interactions":[],"lastModifiedDate":"2023-09-01T14:43:46.360439","indexId":"70248044","displayToPublicDate":"2022-12-01T09:43:11","publicationYear":"2023","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":16298,"text":"Everglades Cooperative Invasive Species Management Area Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"Burmese python size and reproduction: Fact vs fiction","docAbstract":"We’ve probably all heard rumors about monster 25-foot snakes or baby pythons emerging from under neighbors houses year-round, but what is fact vs fiction? To help us sort truth from myth, invasive pythons that were removed from the Everglades and surrendered to the National Park Service (NPS) were scientifically investigated via a partnership with the U.S. Geological Survey Fort Collins Science Center’s (USGS FORT) Invasive Species Science Branch. Other contributing partners were South Florida Water Management District and Florida Fish and Wildlife Conservation Commission’s Python Contractor and Agent programs. Over the past 25 years more than 4,000 wild Burmese pythons have been found and removed from southern Florida’s Greater Everglades Ecosystem.","language":"English","usgsCitation":"Sandfoss, M.R., 2023, Burmese python size and reproduction: Fact vs fiction: Everglades Cooperative Invasive Species Management Area Newsletter, v. 12.","productDescription":"1 p.","startPage":"11","ipdsId":"IP-147852","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":420411,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.evergladescisma.org/publications-and-tools/","linkFileType":{"id":5,"text":"html"}},{"id":420412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sandfoss, Mark Robert 0000-0002-0162-7265","orcid":"https://orcid.org/0000-0002-0162-7265","contributorId":328884,"corporation":false,"usgs":true,"family":"Sandfoss","given":"Mark","email":"","middleInitial":"Robert","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":881606,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70239116,"text":"70239116 - 2023 - Porosity, strength, and alteration – Towards a new volcano stability assessment tool using VNIR-SWIR reflectance spectroscopy","interactions":[],"lastModifiedDate":"2022-12-28T13:48:14.915737","indexId":"70239116","displayToPublicDate":"2022-11-30T07:43:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Porosity, strength, and alteration – Towards a new volcano stability assessment tool using VNIR-SWIR reflectance spectroscopy","docAbstract":"<div id=\"ab0010\" class=\"abstract author\"><div id=\"as0010\"><p id=\"sp0090\">Volcano slope stability analysis is a critical component of volcanic hazard assessments and monitoring. However, traditional methods for assessing rock strength require physical samples of rock which may be difficult to obtain or characterize in bulk. Here, visible to shortwave infrared (350–2500 nm; VNIR–SWIR) reflected light spectroscopy on laboratory-tested rock samples from Ruapehu, Ohakuri, Whakaari, and Banks Peninsula (New Zealand), Merapi (Indonesia), Chaos Crags (USA), Styrian Basin (Austria) and La Soufrière de Guadeloupe (Eastern Caribbean) volcanoes was used to design a novel rapid chemometric-based method to estimate uniaxial compressive strength (UCS) and porosity. Our Partial Least Squares Regression models return moderate accuracies for both UCS and porosity, with R<sup>2</sup><span>&nbsp;</span>of 0.43–0.49 and Mean Absolute Percentage Error (MAPE) of 0.2–0.4. When laboratory-measured porosity is included with spectral data, UCS prediction reaches an R<sup>2</sup><span>&nbsp;</span>of 0.82 and MAPE of 0.11. Our models highlight that the observed changes in the UCS are coupled with subtle mineralogical changes due to hydrothermal alteration at wavelengths of 360–438, 532–597, 1405–1455, 2179–2272, 2332–2386, and 2460–2490 nm. These mineralogical changes include mineral replacement, precipitation hydrothermal alteration processes which impact the strength of volcanic rocks, such as mineral replacement, precipitation, and/or silicification. Our approach highlights that spectroscopy can provide a first order assessment of rock strength and/or porosity or be used to complement laboratory porosity-based predictive models. VNIR-SWIR spectroscopy therefore provides an accurate non-destructive way of assessing rock strength and alteration mineralogy, even from remote sensing platforms.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2022.117929","usgsCitation":"Kereszturi, G., Heap, M.J., Schaefer, L.N., Darmawan, H., Deegan, F.M., Kennedy, B.M., Komorowski, J., Mead, S., Rosas-Carbajal, M., Ryan, A., Troll, V.R., Villeneuve, M.C., and Walter, T., 2023, Porosity, strength, and alteration – Towards a new volcano stability assessment tool using VNIR-SWIR reflectance spectroscopy: Earth and Planetary Science Letters, v. 602, 117929, 12 p., https://doi.org/10.1016/j.epsl.2022.117929.","productDescription":"117929, 12 p.","ipdsId":"IP-144625","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":445187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2022.117929","text":"Publisher Index Page"},{"id":411116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"602","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kereszturi, Gabor 0000-0003-4336-2012","orcid":"https://orcid.org/0000-0003-4336-2012","contributorId":247601,"corporation":false,"usgs":false,"family":"Kereszturi","given":"Gabor","email":"","affiliations":[{"id":49587,"text":"Volcanic Risk Solutions, Massey University, Palmerston North, 4474, New Zealand","active":true,"usgs":false}],"preferred":false,"id":860100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heap, Michael J. 0000-0002-4748-735X","orcid":"https://orcid.org/0000-0002-4748-735X","contributorId":297882,"corporation":false,"usgs":false,"family":"Heap","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":64429,"text":"Université de Strasbourg","active":true,"usgs":false}],"preferred":false,"id":860101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaefer, Lauren N. 0000-0003-3216-7983","orcid":"https://orcid.org/0000-0003-3216-7983","contributorId":241997,"corporation":false,"usgs":true,"family":"Schaefer","given":"Lauren","email":"","middleInitial":"N.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":860102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Darmawan, Herlan","contributorId":300363,"corporation":false,"usgs":false,"family":"Darmawan","given":"Herlan","email":"","affiliations":[{"id":65091,"text":"Universitas Gadjah Mada","active":true,"usgs":false}],"preferred":false,"id":860103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deegan, Frances M. 0000-0002-9065-9225","orcid":"https://orcid.org/0000-0002-9065-9225","contributorId":300364,"corporation":false,"usgs":false,"family":"Deegan","given":"Frances","email":"","middleInitial":"M.","affiliations":[{"id":37671,"text":"Uppsala University","active":true,"usgs":false}],"preferred":false,"id":860104,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kennedy, Ben M. 0000-0001-7235-6493","orcid":"https://orcid.org/0000-0001-7235-6493","contributorId":270276,"corporation":false,"usgs":false,"family":"Kennedy","given":"Ben","email":"","middleInitial":"M.","affiliations":[{"id":37172,"text":"University of Canterbury","active":true,"usgs":false}],"preferred":false,"id":860105,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Komorowski, Jean-Christophe","contributorId":300365,"corporation":false,"usgs":false,"family":"Komorowski","given":"Jean-Christophe","affiliations":[{"id":65092,"text":"Université de Paris","active":true,"usgs":false}],"preferred":false,"id":860106,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mead, Stuart","contributorId":300366,"corporation":false,"usgs":false,"family":"Mead","given":"Stuart","affiliations":[{"id":13571,"text":"Massey University","active":true,"usgs":false}],"preferred":false,"id":860107,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rosas-Carbajal, Marina 0000-0002-5393-0389","orcid":"https://orcid.org/0000-0002-5393-0389","contributorId":300367,"corporation":false,"usgs":false,"family":"Rosas-Carbajal","given":"Marina","email":"","affiliations":[{"id":65092,"text":"Université de Paris","active":true,"usgs":false}],"preferred":false,"id":860108,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ryan, Amy","contributorId":300368,"corporation":false,"usgs":false,"family":"Ryan","given":"Amy","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":860109,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Troll, Valentin R.","contributorId":300369,"corporation":false,"usgs":false,"family":"Troll","given":"Valentin","email":"","middleInitial":"R.","affiliations":[{"id":37671,"text":"Uppsala University","active":true,"usgs":false}],"preferred":false,"id":860110,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Villeneuve, Marlene C. 0000-0001-6001-0786","orcid":"https://orcid.org/0000-0001-6001-0786","contributorId":300370,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Marlene","email":"","middleInitial":"C.","affiliations":[{"id":65093,"text":"Montanuniversität Leoben","active":true,"usgs":false}],"preferred":false,"id":860111,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Walter, Thomas R.","contributorId":300371,"corporation":false,"usgs":false,"family":"Walter","given":"Thomas R.","affiliations":[{"id":39797,"text":"GFZ German Research Centre for Geosciences","active":true,"usgs":false}],"preferred":false,"id":860112,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70240118,"text":"70240118 - 2023 - Understanding local adaptation to prepare populations for climate change","interactions":[],"lastModifiedDate":"2023-03-21T15:58:21.92008","indexId":"70240118","displayToPublicDate":"2022-11-30T07:21:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Understanding local adaptation to prepare populations for climate change","docAbstract":"<p class=\"chapter-para\">Adaptation within species to local environments is widespread in nature. Better understanding this local adaptation is critical to conserving biodiversity. However, conservation practices can rely on species’ trait averages or can broadly assume homogeneity across the range to inform management. Recent methodological advances for studying local adaptation provide the opportunity to fine-tune efforts for managing and conserving species. The implementation of these advances will allow us to better identify populations at greatest risk of decline because of climate change, as well as highlighting possible strategies for improving the likelihood of population persistence amid climate change. In the present article, we review recent advances in the study of local adaptation and highlight ways these tools can be applied in conservation efforts. Cutting-edge tools are available to help better identify and characterize local adaptation. Indeed, increased incorporation of local adaptation in management decisions may help meet the imminent demands of managing species amid a rapidly changing world.</p>","language":"English","publisher":"American Institute of Biological Sciences","doi":"10.1093/biosci/biac101","usgsCitation":"Meek, M.H., Beever, E.A., Barbosa, S., Fitzpatrick, S.W., Fletcher, N.K., Mittan-Moreau, C.S., Reid, B.N., Campbell-Staton, S.C., Green, N., and Hellmann, J.J., 2023, Understanding local adaptation to prepare populations for climate change: BioScience, v. 73, no. 1, p. 36-47, https://doi.org/10.1093/biosci/biac101.","productDescription":"12 p.","startPage":"36","endPage":"47","ipdsId":"IP-107188","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":445189,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/17748","text":"External Repository"},{"id":412404,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Meek, Mariah H.","contributorId":289676,"corporation":false,"usgs":false,"family":"Meek","given":"Mariah","email":"","middleInitial":"H.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":862637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":862638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbosa, Soraia","contributorId":275352,"corporation":false,"usgs":false,"family":"Barbosa","given":"Soraia","email":"","affiliations":[{"id":33345,"text":" University of Idaho","active":true,"usgs":false}],"preferred":false,"id":862639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzpatrick, Sarah W.","contributorId":301818,"corporation":false,"usgs":false,"family":"Fitzpatrick","given":"Sarah","email":"","middleInitial":"W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":862641,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fletcher, Nicholas K.","contributorId":301819,"corporation":false,"usgs":false,"family":"Fletcher","given":"Nicholas","email":"","middleInitial":"K.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":862642,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mittan-Moreau, Cinnamon S.","contributorId":301224,"corporation":false,"usgs":false,"family":"Mittan-Moreau","given":"Cinnamon","email":"","middleInitial":"S.","affiliations":[{"id":65335,"text":"Kellogg Biological Station, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":862644,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reid, Brendan N.","contributorId":301820,"corporation":false,"usgs":false,"family":"Reid","given":"Brendan","email":"","middleInitial":"N.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":862645,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Campbell-Staton, Shane C.","contributorId":301817,"corporation":false,"usgs":false,"family":"Campbell-Staton","given":"Shane","email":"","middleInitial":"C.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":862663,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Green, Nancy","contributorId":147691,"corporation":false,"usgs":false,"family":"Green","given":"Nancy","email":"","affiliations":[{"id":16902,"text":"U.S. Fish and Wildlife Service, Ecological Services Program, Washington, D.C., 20240, USA","active":true,"usgs":false}],"preferred":false,"id":862664,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hellmann, Jessica J.","contributorId":149219,"corporation":false,"usgs":false,"family":"Hellmann","given":"Jessica","email":"","middleInitial":"J.","affiliations":[{"id":17677,"text":"Department of Biological Sciences, University of Notre Dame, Notre Dame, IN","active":true,"usgs":false}],"preferred":false,"id":862643,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70240107,"text":"70240107 - 2023 - Impeding access to tributary spawning habitat and releasing experimental fall-timed floods increases brown trout immigration into a dam's tailwater","interactions":[],"lastModifiedDate":"2023-03-01T17:18:46.29359","indexId":"70240107","displayToPublicDate":"2022-11-30T06:36:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Impeding access to tributary spawning habitat and releasing experimental fall-timed floods increases brown trout immigration into a dam's tailwater","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>River ecosystems have been altered by flow regulation and species introductions. Regulated flow regimes often include releases designed to benefit certain species or restore ecosystem processes, and invasive species suppression programs may include efforts to restrict access to spawning habitat. The impacts of these management interventions are often uncertain. Here, we assess hypotheses regarding introduced brown trout (Salmo trutta) movement in a regulated river. We model mark-recapture data in a multistate framework to assess whether movement was affected by the operation of a tributary weir (restricting access to spawning habitat), experimental releases of fall-timed High Flow Experiments (Fall HFEs), or simply increased during the fall, spawning season. Our results suggest that the presence of the weir led to reduced tributary homing and the release of Fall HFEs stimulated upstream movement and straying. Both effects are of a similar magnitude, however the fall HFE effect is more certain. Our results suggest the expansion of an invasive species was stimulated by management interventions, and demonstrate the potential for unanticipated outcomes of restoration in highly altered river ecosystems.</div></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2022-0231","usgsCitation":"Healy, B.D., Yackulic, C., and Schelly, R.C., 2023, Impeding access to tributary spawning habitat and releasing experimental fall-timed floods increases brown trout immigration into a dam's tailwater: Canadian Journal of Fisheries and Aquatic Sciences, v. 80, no. 3, p. 614-627, https://doi.org/10.1139/cjfas-2022-0231.","productDescription":"14 p.","startPage":"614","endPage":"627","ipdsId":"IP-145826","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":445192,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2022-0231","text":"Publisher Index Page"},{"id":412397,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah","otherGeospatial":"Bright Angel Creek, Colorado River, Glen Canyon Dam tailwater, Grand Canyon National Park, Lake Powell,","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.5,\n              37.1\n            ],\n            [\n              -114,\n              37.1\n            ],\n            [\n              -114,\n              35.5\n            ],\n            [\n              -111.5,\n              35.5\n            ],\n            [\n              -111.5,\n              37.1\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"80","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Healy, Brian D. 0000-0002-4402-638X","orcid":"https://orcid.org/0000-0002-4402-638X","contributorId":301150,"corporation":false,"usgs":false,"family":"Healy","given":"Brian","email":"","middleInitial":"D.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":862601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":862602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schelly, Robert C.","contributorId":301154,"corporation":false,"usgs":false,"family":"Schelly","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":65320,"text":"Native Fish Ecology and Conservation Program","active":true,"usgs":false}],"preferred":false,"id":862603,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70238685,"text":"70238685 - 2023 - Longitudinal analyses of catch-at-age data for reconstructing year-class strength, with an application to lake trout (Salvelinus namaycush) in the main basin of Lake Huron","interactions":[],"lastModifiedDate":"2023-01-18T17:23:24.019675","indexId":"70238685","displayToPublicDate":"2022-11-29T06:48:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Longitudinal analyses of catch-at-age data for reconstructing year-class strength, with an application to lake trout (<i>Salvelinus namaycush</i>) in the main basin of Lake Huron","title":"Longitudinal analyses of catch-at-age data for reconstructing year-class strength, with an application to lake trout (Salvelinus namaycush) in the main basin of Lake Huron","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>We investigated using longitudinal models to reconstruct year-class strength (YCS) from catch-at-age data, with an example application to lake trout (<i>Salvelinus namaycush</i>) in the main basin of Lake Huron. The best model structure depended on the age range used for model implementation. The YCS trajectory from the full age range (3–30 years) was similar to the trajectory from a narrow age range that approximated the age of recruitment to the fishing gears (5–7 years), but YCS estimates from the full age range included additional variations due to time-dependent selectivity and mortality. When using ages younger or older than the likely ages of recruitment, YCS estimates did not represent recruitment abundances and were also biased by trends in age-specific selectivity and mortality across years. Longitudinal YCS estimates are likely more robust than single-age recruitment indices, which are often subject to interannual changes in catchability and selectivity. Our findings provide guidance for future applications of the longitudinal YCS reconstruction that in turn may inform and supplement more comprehensive research and management programs for understanding fish recruitment dynamics.</div></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2022-0140","usgsCitation":"He, J.X., Honsey, A.E., Staples, D.F., Bence, J., and Claramunt, T.L., 2023, Longitudinal analyses of catch-at-age data for reconstructing year-class strength, with an application to lake trout (Salvelinus namaycush) in the main basin of Lake Huron: Canadian Journal of Fisheries and Aquatic Sciences, v. 80, no. 1, p. 183-194, https://doi.org/10.1139/cjfas-2022-0140.","productDescription":"12 p.","startPage":"183","endPage":"194","ipdsId":"IP-141874","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":445195,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2022-0140","text":"Publisher Index Page"},{"id":410046,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.76832469460116,\n              46.293576597554534\n            ],\n            [\n              -84.76832469460116,\n              42.93351105858869\n            ],\n            [\n              -80.6831455271525,\n              42.93351105858869\n            ],\n            [\n              -80.6831455271525,\n              46.293576597554534\n            ],\n            [\n              -84.76832469460116,\n              46.293576597554534\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"80","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"He, Ji X.","contributorId":181528,"corporation":false,"usgs":false,"family":"He","given":"Ji","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":858269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Honsey, Andrew Edgar 0000-0001-7535-1321","orcid":"https://orcid.org/0000-0001-7535-1321","contributorId":295468,"corporation":false,"usgs":true,"family":"Honsey","given":"Andrew","email":"","middleInitial":"Edgar","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":858270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staples, David F.","contributorId":150561,"corporation":false,"usgs":false,"family":"Staples","given":"David","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":858271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bence, James R.","contributorId":95026,"corporation":false,"usgs":false,"family":"Bence","given":"James R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":858272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Claramunt, Tracy L.","contributorId":215447,"corporation":false,"usgs":false,"family":"Claramunt","given":"Tracy","email":"","middleInitial":"L.","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":858273,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256610,"text":"70256610 - 2023 - Using fiber-optic distributed temperature sensing in fisheries applications: An example from the Ozark Highlands","interactions":[],"lastModifiedDate":"2024-08-12T22:52:34.750915","indexId":"70256610","displayToPublicDate":"2022-11-28T17:44:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Using fiber-optic distributed temperature sensing in fisheries applications: An example from the Ozark Highlands","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><p id=\"sp0035\"><span>Studies of thermal selection by organisms, including fishes, are common and provide data that are useful for conservation and management. Advances in temperature sensing technology have improved these studies; however, the benefits of new technology (e.g., increased accuracy and greater deployment flexibility) should be carefully considered and compared to disadvantages (e.g., higher costs and training requirements). Fiber-optic distributed temperature sensing (FO-DTS) has become more common in aquatic applications and may provide a novel and useful method of relating thermal patchiness to habitat selection by fishes or other&nbsp;aquatic organisms. We present a&nbsp;case study&nbsp;using FO-DTS to conduct a microhabitat-scale resource selection study using stream fishes of the Ozark Highland ecoregion in the south-central United States. We describe the setup and deployment of FO-DTS and how it was integrated into traditional&nbsp;microhabitat&nbsp;survey methods at three stream sites that were repeatedly surveyed over consecutive days. We successfully used FO-DTS to characterize thermal selection by Neosho Bass&nbsp;</span><span>Micropterus<i>&nbsp;velox</i></span><span>&nbsp;</span>at our sites and conclude that the technology would be applicable to similar, microhabitat-scale evaluations. We then compare costs, benefits, and disadvantages of FO-DTS to other sensing methods that could have been used to complete our study. We found that FO-DTS provided accurate measures and greater coverage compared to most alternatives but that equipment costs were far greater. We provide suggestions for additional fisheries applications where FO-DTS may be useful while acknowledging that in some instances, the upfront costs of the technology may outweigh the potential benefits.</p></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2022.106542","usgsCitation":"Wolf, S.L., Swedberg, D.A., Tanner, E.P., Fuhlendorf, S., and Brewer, S.K., 2023, Using fiber-optic distributed temperature sensing in fisheries applications: An example from the Ozark Highlands: Fisheries Research, v. 258, 106542, https://doi.org/10.1016/j.fishres.2022.106542.","productDescription":"106542","ipdsId":"IP-140955","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"258","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wolf, Skylar L.","contributorId":341359,"corporation":false,"usgs":false,"family":"Wolf","given":"Skylar","email":"","middleInitial":"L.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":908295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swedberg, Dusty A.","contributorId":341360,"corporation":false,"usgs":false,"family":"Swedberg","given":"Dusty","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":908296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tanner, Evan P.","contributorId":341361,"corporation":false,"usgs":false,"family":"Tanner","given":"Evan","email":"","middleInitial":"P.","affiliations":[{"id":13724,"text":"Texas A&M University-Kingsville","active":true,"usgs":false}],"preferred":false,"id":908297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuhlendorf, Samuel D.","contributorId":341362,"corporation":false,"usgs":false,"family":"Fuhlendorf","given":"Samuel D.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":908298,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":908299,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70239059,"text":"70239059 - 2023 - Bioavailability of dissolved organic matter varies with anthropogenic landcover in the Upper Mississippi River Basin","interactions":[],"lastModifiedDate":"2022-12-22T12:44:51.457844","indexId":"70239059","displayToPublicDate":"2022-11-28T06:42:04","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Bioavailability of dissolved organic matter varies with anthropogenic landcover in the Upper Mississippi River Basin","docAbstract":"<div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara010\">Anthropogenic conversion of forests and wetlands to agricultural and urban landcovers impacts dissolved organic matter (DOM) within streams draining these catchments. Research on how landcover conversion impacts DOM molecular level composition and bioavailability, however, is lacking. In the Upper Mississippi River Basin (UMRB), water from low-order streams and rivers draining one of three dominant landcovers (forest, agriculture, urban) was incubated for 28 days to determine bioavailable DOC (BDOC) concentrations and changes in DOM composition. The BDOC concentration averaged 0.49 ± 0.30 mg L<sup>−1</sup><span>&nbsp;</span>across all samples and was significantly higher in streams draining urban catchments (0.72 ± 0.34 mg L<sup>−1</sup>) compared to streams draining agricultural (0.28 ± 0.15 mg L<sup>−1</sup>) and forested (0.47 ± 0.17 mg L<sup>−1</sup>) catchments. Percent BDOC was significantly greater in urban (10% ± 4.4%) streams compared to forested streams (5.6% ± 3.2%), corresponding with greater relative abundances of aliphatic and N-containing aliphatic compounds in urban streams. Aliphatic compound relative abundance decreased across all landcovers during the bioincubation (average -4.1% ± 10%), whereas polyphenolics and condensed aromatics increased in relative abundance across all landcovers (average of +1.4% ± 5.9% and +1.8% ± 10%, respectively). Overall, the conversion of forested to urban landcover had a larger impact on stream DOM bioavailability in the UMRB compared to conversion to agricultural landcover. Future research examining the impacts of anthropogenic landcover conversion on stream DOM composition and bioavailability needs to be expanded to a range of spatial scales and to different ecotones, especially with continued landcover alterations.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2022.119357","usgsCitation":"Vaughn, D.R., Kellerman, A.M., Wickland, K., Striegl, R.G., Podgorski, D.C., Hawkings, J.R., Nienhuis, J.H., Dornblaser, M.M., Stets, E.G., and Spencer, R., 2023, Bioavailability of dissolved organic matter varies with anthropogenic landcover in the Upper Mississippi River Basin: Water Research, v. 229, 119357, 11 p., https://doi.org/10.1016/j.watres.2022.119357.","productDescription":"119357, 11 p.","ipdsId":"IP-146292","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":445199,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2022.119357","text":"Publisher Index Page"},{"id":410921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Iowa, North Dakota, South Dakota, Wisconsin","otherGeospatial":"Upper Mississippi River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.54014310622625,\n              47.81267654671956\n            ],\n            [\n              -97.54014310622625,\n              43.006254798709676\n            ],\n            [\n              -90.11653795247621,\n              43.006254798709676\n            ],\n            [\n              -90.11653795247621,\n              47.81267654671956\n            ],\n            [\n              -97.54014310622625,\n              47.81267654671956\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"229","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vaughn, Derrick R.","contributorId":267313,"corporation":false,"usgs":false,"family":"Vaughn","given":"Derrick","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":859867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kellerman, Anne M.","contributorId":204172,"corporation":false,"usgs":false,"family":"Kellerman","given":"Anne","email":"","middleInitial":"M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":859868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":859869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"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}],"preferred":false,"id":859870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Podgorski, David C.","contributorId":178153,"corporation":false,"usgs":false,"family":"Podgorski","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":859871,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hawkings, Jon R.","contributorId":267314,"corporation":false,"usgs":false,"family":"Hawkings","given":"Jon","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":859872,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nienhuis, Jaap H.","contributorId":300295,"corporation":false,"usgs":false,"family":"Nienhuis","given":"Jaap","email":"","middleInitial":"H.","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":859873,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dornblaser, Mark M.","contributorId":300296,"corporation":false,"usgs":false,"family":"Dornblaser","given":"Mark","email":"","middleInitial":"M.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":859874,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":859875,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Spencer, Robert G.M.","contributorId":173304,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G.M.","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":859876,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70238737,"text":"70238737 - 2023 - Towards a unified drag coefficient formula for quantifying wave energy reduction by salt marshes","interactions":[],"lastModifiedDate":"2022-12-15T16:01:07.181311","indexId":"70238737","displayToPublicDate":"2022-11-27T06:44:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Towards a unified drag coefficient formula for quantifying wave energy reduction by salt marshes","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"d1e1297\" class=\"abstract author\"><div id=\"d1e1300\"><p id=\"d1e1301\"><span>Coastal regions are susceptible to increasing flood risks amid climate change. Coastal wetlands play an important role in mitigating coastal hazards. Vegetation exerts a drag force to the flow and dampens storm surges and wind waves. The prediction of wave attenuation by vegetation typically relies on a pre-determined drag coefficient&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-7-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>C</mi></mrow><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>D</mi></mrow></msub></math>\"><span class=\"MJX_Assistive_MathML\">C<sub>D</sub></span></span></span><span>. Existing&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-8-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>C</mi></mrow><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>D</mi></mrow></msub></math>\"><span class=\"MJX_Assistive_MathML\">C<sub>D</sub></span></span></span><span>&nbsp;formulas are subject to vegetation biomechanical properties, especially the flexibility. Accounting for vegetation flexibility through the effective plant height (EPH), we propose and validate a species-independent relationship between&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-9-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>C</mi></mrow><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>D</mi></mrow></msub></math>\"><span class=\"MJX_Assistive_MathML\">C<sub>D</sub></span></span></span><span>&nbsp;and the Reynolds number&nbsp;</span><i><span class=\"math\"><span id=\"MathJax-Element-10-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>R</mi><mi is=&quot;true&quot;>e</mi></mrow></math>\"><span class=\"MJX_Assistive_MathML\">Re</span></span></span></i><span>&nbsp;based on three independent datasets that cover a wide range of hydrodynamic conditions and vegetation traits. The proposed&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-11-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>C</mi></mrow><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>D</mi></mrow></msub><mo linebreak=&quot;goodbreak&quot; linebreakstyle=&quot;after&quot; is=&quot;true&quot;>&amp;#x2212;</mo><mi is=&quot;true&quot;>R</mi><mi is=&quot;true&quot;>e</mi></mrow></math>\"><span class=\"MJX_Assistive_MathML\">C<sub>D</sub>−<i>Re</i></span></span></span><span>&nbsp;relationship, used together with EPH, allows for predicting wave attenuation in salt marshes with high accuracy. Furthermore, a total of 308,000 numerical experiments with diverse wave conditions are conducted using the proposed&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-12-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>C</mi></mrow><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>D</mi></mrow></msub><mo linebreak=&quot;goodbreak&quot; linebreakstyle=&quot;after&quot; is=&quot;true&quot;>&amp;#x2212;</mo><mi is=&quot;true&quot;>R</mi><mi is=&quot;true&quot;>e</mi></mrow></math>\"><span class=\"MJX_Assistive_MathML\">C<sub>D</sub>−<i>Re</i></span></span></span><span>&nbsp;relationship and EPH to quantify the wave attenuation capacity of two typical salt mash species:&nbsp;</span><i>Elymus athericus</i><span>&nbsp;(highly flexible) and&nbsp;</span><i>Spartina alterniflora</i><span>&nbsp;(relatively rigid). It is found that wave attenuation is controlled by wave height to water depth ratio and EPH to water depth ratio. When swaying in large waves in shallow to intermediate water depth, a 50-m-long&nbsp;</span><i>Elymus athericus</i><span>&nbsp;field may lose up to 30% capacity for wave attenuation. As wave height increases, highly flexible vegetation causes reduced wave attenuation, whereas relatively rigid vegetation induces increased wave attenuation. The leaf contribution to wave attenuation is highly dependent on the leaf rigidity. It is recommended that leaf properties, especially its Young’s modulus be collected in future field experiments.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2022.104256","usgsCitation":"Zhu, L., Chen, Q., Ding, Y., Jafari, N., Wang, H., and Johnson, B.D., 2023, Towards a unified drag coefficient formula for quantifying wave energy reduction by salt marshes: Coastal Engineering, v. 180, 104256, 14 p., https://doi.org/10.1016/j.coastaleng.2022.104256.","productDescription":"104256, 14 p.","ipdsId":"IP-121483","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":445202,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2022.104256","text":"Publisher Index Page"},{"id":410152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"180","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhu, Ling 0000-0003-0261-6848","orcid":"https://orcid.org/0000-0003-0261-6848","contributorId":222169,"corporation":false,"usgs":false,"family":"Zhu","given":"Ling","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":858451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Q. 0000-0002-6540-8758","orcid":"https://orcid.org/0000-0002-6540-8758","contributorId":56532,"corporation":false,"usgs":false,"family":"Chen","given":"Q.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":true,"id":858452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ding, Yan","contributorId":299723,"corporation":false,"usgs":false,"family":"Ding","given":"Yan","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":858453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jafari, Navid H.","contributorId":214730,"corporation":false,"usgs":false,"family":"Jafari","given":"Navid H.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":858454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Hongqing 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":221902,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":858455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Bradley D.","contributorId":299724,"corporation":false,"usgs":false,"family":"Johnson","given":"Bradley","email":"","middleInitial":"D.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":858456,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70238541,"text":"70238541 - 2023 - A 1.8 million year history of Amazon vegetation","interactions":[],"lastModifiedDate":"2022-11-29T12:50:42.574938","indexId":"70238541","displayToPublicDate":"2022-11-26T06:47:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A 1.8 million year history of Amazon vegetation","docAbstract":"<p id=\"abspara0010\">During the Pleistocene, long-term trends in global climate were controlled by orbital cycles leading to high amplitude glacial-interglacial variability. The history of Amazonian vegetation during this period is largely unknown since no continuous record from the lowland basin extends significantly beyond the last glacial stage. Here we present a paleoenvironmental record spanning the last 1800 kyr based on palynological data, biome reconstructions, and biodiversity metrics from a marine sediment core that preserves a continuous archive of sediments from the Amazon River.</p><p id=\"abspara0015\">Tropical rainforests dominated the Amazonian lowlands during the last 1800 ka interchanging with surrounding warm-temperate rainforests and tropical seasonal forests. Between 1800 and 1000 ka, rainforest biomes were present in the Amazon drainage basin, along with extensive riparian wetland vegetation. Tropical rainforest expansion occurred during the relatively warm Marine Isotope Stages 33 and 31 (ca. 1110 to 1060 ka), followed by a contraction of both forests and wetlands until ca. 800 ka. Between 800 and 400 ka, low pollen concentration and low diversity of palynological assemblages renders difficult the interpretation of Amazonian vegetation. A strong synchronicity between vegetation changes and glacial-interglacial global climate cycles was established around 400 ka. After 400 ka, interglacial vegetation was dominated by lowland tropical rainforest in association with warmer temperatures and higher CO<sub>2</sub>. During cooler temperatures and lower CO<sub>2</sub><span>&nbsp;</span>of glacial stages, tropical seasonal forests expanded, presumably towards eastern Amazonia. While this study provides no evidence supporting a significant expansion of savanna or steppe vegetation within the Amazonian lowlands during glacial periods, there were changes in the rainforest composition in some parts of the basin towards a higher proportion of deciduous elements, pointing to less humid conditions and/or greater seasonality of precipitation. Nevertheless, rainforest persisted during both glacial and interglacial periods. These findings confirm the sensitivity of tropical lowland vegetation to changes in CO<sub>2</sub>, temperature, and moisture availability and the most suitable conditions for tropical rainforests occurred during the warmest stages of the Mid Pleistocene Transition and during the interglacial stages of the past 400 kyr.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2022.107867","usgsCitation":"Kern, A.K., Akabane, T.K., Ferreira, J.Q., Chiessi, C.M., Willard, D., Ferreira, F., Sanders, A.O., Silva, C.G., Rigsby, C., Cruz, F.W., Dwyer, G.S., Fritz, S., and Baker, P., 2023, A 1.8 million year history of Amazon vegetation: Quaternary Science Reviews, v. 299, 107867, 18 p., https://doi.org/10.1016/j.quascirev.2022.107867.","productDescription":"107867, 18 p.","ipdsId":"IP-142066","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":445204,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1016/j.quascirev.2022.107867","text":"Publisher Index Page"},{"id":409786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Amazon Rainforest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -45.58398035875993,\n              -1.7307999886068473\n            ],\n            [\n              -46.11110025133385,\n              0.2017092387972923\n            ],\n            [\n              -51.558005807931494,\n              6.94931359605215\n            ],\n            [\n              -60.34333735083105,\n              11.11303261065737\n            ],\n            [\n              -65.70238959199979,\n              10.336169965708578\n            ],\n            [\n              -68.42584237029888,\n              7.559361210396787\n            ],\n            [\n              -77.65044049034344,\n              1.2558488707586548\n            ],\n            [\n              -78.26541369834682,\n              -7.769025120402304\n            ],\n            [\n              -72.46709488003303,\n              -14.828548187322383\n            ],\n            [\n              -66.93233600800598,\n              -22.47946684713675\n            ],\n            [\n              -57.79559120339029,\n              -22.965672887097426\n            ],\n            [\n              -46.286806882191655,\n              -18.113693655143877\n            ],\n            [\n              -45.58398035875993,\n              -1.7307999886068473\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"299","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kern, Andrea K.","contributorId":299425,"corporation":false,"usgs":false,"family":"Kern","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":857792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akabane, Thomas K.","contributorId":299427,"corporation":false,"usgs":false,"family":"Akabane","given":"Thomas","email":"","middleInitial":"K.","affiliations":[{"id":48623,"text":"University of Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":857793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferreira, Jaqueline Q.","contributorId":299429,"corporation":false,"usgs":false,"family":"Ferreira","given":"Jaqueline","email":"","middleInitial":"Q.","affiliations":[{"id":48623,"text":"University of Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":857794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chiessi, Cristiano M.","contributorId":299431,"corporation":false,"usgs":false,"family":"Chiessi","given":"Cristiano","email":"","middleInitial":"M.","affiliations":[{"id":48623,"text":"University of Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":857795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":269840,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":true,"id":857796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferreira, Fabricio","contributorId":299433,"corporation":false,"usgs":false,"family":"Ferreira","given":"Fabricio","email":"","affiliations":[{"id":41699,"text":"Universidade Federal Fluminense","active":true,"usgs":false}],"preferred":false,"id":857797,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanders, Allan O.","contributorId":299435,"corporation":false,"usgs":false,"family":"Sanders","given":"Allan","email":"","middleInitial":"O.","affiliations":[{"id":41699,"text":"Universidade Federal Fluminense","active":true,"usgs":false}],"preferred":false,"id":857798,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Silva, Cleverson G.","contributorId":299437,"corporation":false,"usgs":false,"family":"Silva","given":"Cleverson","email":"","middleInitial":"G.","affiliations":[{"id":41699,"text":"Universidade Federal Fluminense","active":true,"usgs":false}],"preferred":false,"id":857799,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rigsby, Catherine","contributorId":299439,"corporation":false,"usgs":false,"family":"Rigsby","given":"Catherine","affiliations":[{"id":36317,"text":"East Carolina University","active":true,"usgs":false}],"preferred":false,"id":857800,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cruz, Francisco W.","contributorId":299441,"corporation":false,"usgs":false,"family":"Cruz","given":"Francisco","email":"","middleInitial":"W.","affiliations":[{"id":48623,"text":"University of Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":857801,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dwyer, Gary S.","contributorId":197070,"corporation":false,"usgs":false,"family":"Dwyer","given":"Gary","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":857802,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fritz, Sherilyn C.","contributorId":299443,"corporation":false,"usgs":false,"family":"Fritz","given":"Sherilyn C.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":857803,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Baker, Paul A.","contributorId":299445,"corporation":false,"usgs":false,"family":"Baker","given":"Paul A.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":857804,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70254592,"text":"70254592 - 2023 - The Far-Field imprint of the late Paleozoic Ice Age, its demise, and the onset of a dust-house climate across the Eastern Shelf of the Midland Basin, Texas","interactions":[],"lastModifiedDate":"2024-06-04T11:38:15.455109","indexId":"70254592","displayToPublicDate":"2022-11-25T06:35:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1848,"text":"Gondwana Research","active":true,"publicationSubtype":{"id":10}},"title":"The Far-Field imprint of the late Paleozoic Ice Age, its demise, and the onset of a dust-house climate across the Eastern Shelf of the Midland Basin, Texas","docAbstract":"<div id=\"ab015\" class=\"abstract author\"><div id=\"as015\"><p id=\"sp0015\">The late Paleozoic is a period of pronounced climatic and tectonic change, characterized by the onset and disappearance of continental-scale glaciers across polar Gondwana, the formation of Pangea, and widespread large igneous province volcanism. The low-latitude equatorial tropics are assumed to be places of persistent warm and wet climatic conditions throughout the Phanerozoic, which through intense silicate weathering, exert a major influence on Earth’s climate via the consumption of atmospheric carbon through carbonic hydrolytic weathering, formation of clay minerals and deliverability of alkalinity to ocean basins. Here we investigate the late Paleozoic sedimentary record of the Eastern Shelf of the Midland Basin in order to refine the climatic and provenance record of this region. The Eastern Shelf of the Midland Basin was situated within the equatorial tropics throughout the late Paleozoic and was connected to the open ocean through a network of fluvial systems that drained into the marine Midland Basin. We present new U-Pb zircon geochronology (19 samples, 2591 analyses) and sedimentary petrography (11 samples, 5800 grain counts), which we integrate with previously published paleobotany, paleosol chemistry and clay mineralogy to provide a holistic climate and tectonic record from this region. We observe major changes in sedimentary processes that we attribute to the formation of Pangea, eustatic changes linked to a dynamic high-latitude glaciation and teleconnections with low latitude hydrology, and a long-term shift in the Earth climate system all of which result in a dynamic sediment provenance history. Late Pennsylvanian and earliest Permian deposits are enriched in zircons with local affinity and interpreted to reflect local uplift and repeat incision across the basin margin, the latter a result of glacioeustatic forcing during an “everwet” climate. A major paleoenvironmental shift occurs in the late early Permian, which is reflected by the transition from fluvial to mixed fluvial-aeolian and ultimately aeolian dominant sedimentation by the late Permian. The transition from fluvial to aeolian dominant sedimentation is accompanied by a change in clay chemistry, sedimentary rock textual maturity, paleosol morphology and a threefold increase in Paleozoic zircons in the mid to late Permian strata. Widespread loess deposits across equatorial Pangea during the Permian have been used to argue for the possibility of equatorial glaciers situated in highland settings during the early Permian. Conversely, our data suggest initiation of a substantial component of aeolian deposition across the field areas, which is coincident with widespread ice loss across high latitude Gondwana, and ultimately highlights the teleconnections between high latitude glaciation and the low latitude hydrologic cycle.</p></div></div><div id=\"ab005\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gr.2022.11.004","usgsCitation":"Griffis, N.P., Tabor, N., Stockli, D., and Stockli, L., 2023, The Far-Field imprint of the late Paleozoic Ice Age, its demise, and the onset of a dust-house climate across the Eastern Shelf of the Midland Basin, Texas: Gondwana Research, v. 115, p. 17-36, https://doi.org/10.1016/j.gr.2022.11.004.","productDescription":"20 p.","startPage":"17","endPage":"36","ipdsId":"IP-140504","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":445206,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gr.2022.11.004","text":"Publisher Index Page"},{"id":429491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Midland Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.1009038432658,\n              37.54785246377509\n            ],\n            [\n              -108.1009038432658,\n              28.65565552971603\n            ],\n            [\n              -97.46613821826628,\n              28.65565552971603\n            ],\n            [\n              -97.46613821826628,\n              37.54785246377509\n            ],\n            [\n              -108.1009038432658,\n              37.54785246377509\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"115","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Griffis, Neil Patrick 0000-0002-2506-7549","orcid":"https://orcid.org/0000-0002-2506-7549","contributorId":330218,"corporation":false,"usgs":true,"family":"Griffis","given":"Neil","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":902041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tabor, Neil","contributorId":337120,"corporation":false,"usgs":false,"family":"Tabor","given":"Neil","email":"","affiliations":[{"id":20300,"text":"Southern Methodist University","active":true,"usgs":false}],"preferred":false,"id":902042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockli, Daniel","contributorId":337121,"corporation":false,"usgs":false,"family":"Stockli","given":"Daniel","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":902043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stockli, Lisa","contributorId":337122,"corporation":false,"usgs":false,"family":"Stockli","given":"Lisa","email":"","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":902044,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70240777,"text":"70240777 - 2023 - Vegetative buffer strips show limited effectiveness for reducing antibiotic transport in surface runoff","interactions":[],"lastModifiedDate":"2023-02-22T13:26:34.812484","indexId":"70240777","displayToPublicDate":"2022-11-23T07:25:02","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Vegetative buffer strips show limited effectiveness for reducing antibiotic transport in surface runoff","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Vegetative buffer strips (VBS) have been demonstrated to effectively reduce loads of sediment, nutrients, and herbicides in surface runoff, but their effectiveness for reducing veterinary antibiotic (VA) loads in runoff has not been well documented. The objective of this study was to determine the effectiveness of VBS vegetation and width on surface runoff loads of the VAs sulfamethazine (SMZ) and lincomycin (LIN). Experimental design of the plots (1.5&nbsp;×&nbsp;25&nbsp;m) was a two-way factorial with four vegetation treatments (tall fescue [<i>Festuca aruninacea</i><span>&nbsp;</span>Schreb.]; tall fescue with switchgrass [<i>Panicum virgatum</i><span>&nbsp;</span>L.] hedge; warm-season native grass mix; and continuous fallow control), and four buffer widths (0, 2, 5, and 9&nbsp;m). Turkey litter spiked with SMZ and LIN was applied to the source area (upper 7&nbsp;m) of each plot, and runoff was collected at each width. Runoff was generated with a rotating boom simulator. Results showed VA loads in runoff at the 0-m sampler ranged from 3.8 to 5.9% of applied, and overall VA transport in runoff was predominately in the dissolved phase (90% for SMZ and 99% for LIN). Among vegetation treatments, only tall fescue significantly reduced loads of SMZ and LIN compared with the control, with load reductions of ∼30% for both VAs. Estimated field-scale reductions in VA loads showed that source-to-buffer area ratios (SBARs) of 10:1 to 20:1 reduced VA loads by only 7 to 16%. Overall, the grass VBS tested here were less effective at reducing SMZ and LIN loads in surface runoff than has been previously demonstrated for sediment, nutrients, and herbicides.</p></div></div>","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/jeq2.20441","usgsCitation":"Moody, A.H., Lerch, R., Goyne, K.W., Anderson, S., Mendoza-Cozatl, D., and Alvarez, D.A., 2023, Vegetative buffer strips show limited effectiveness for reducing antibiotic transport in surface runoff: Journal of Environmental Quality, v. 52, no. 1, p. 137-148, https://doi.org/10.1002/jeq2.20441.","productDescription":"12 p.","startPage":"137","endPage":"148","ipdsId":"IP-142925","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":445209,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://hdl.handle.net/10919/114469","text":"Publisher Index Page"},{"id":435554,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FIX717","text":"USGS data release","linkHelpText":"Veterinary antibiotic residues in surface runoff flowing through vegetative buffer strip plots located at the University of Missouri Bradford Research and Extension Center (Columbia, MO) in September 2020"},{"id":413279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Moody, Adam H. 0000-0001-6160-7920","orcid":"https://orcid.org/0000-0001-6160-7920","contributorId":302592,"corporation":false,"usgs":true,"family":"Moody","given":"Adam","email":"","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":864797,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lerch, Robert N.","contributorId":189360,"corporation":false,"usgs":false,"family":"Lerch","given":"Robert N.","affiliations":[],"preferred":false,"id":864798,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goyne, Keith W.","contributorId":204931,"corporation":false,"usgs":false,"family":"Goyne","given":"Keith","email":"","middleInitial":"W.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":864799,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Stephen H.","contributorId":204932,"corporation":false,"usgs":false,"family":"Anderson","given":"Stephen H.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":864800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mendoza-Cozatl, David","contributorId":302593,"corporation":false,"usgs":false,"family":"Mendoza-Cozatl","given":"David","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":864801,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alvarez, David A. 0000-0002-6918-2709","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":220763,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":864802,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70240690,"text":"70240690 - 2023 - Hawaiian waterbird movement across a developed landscape","interactions":[],"lastModifiedDate":"2023-02-15T12:48:09.392983","indexId":"70240690","displayToPublicDate":"2022-11-23T06:45:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Hawaiian waterbird movement across a developed landscape","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>A key component for biologists managing mobile species is understanding where and when a species occurs at different locations and scaling management to fit the spatial and temporal patterns of movement. We established an automated radio-telemetry tracking network to document multi-year movement in 2016–2018 of 3 endangered waterbirds among wetlands on Oʻahu, Hawaiʻi, USA: ʻalae ʻula or Hawaiian gallinule (gallinule;<span>&nbsp;</span><i>Gallinula galeata sandvicensis</i>), ʻalae keʻokeʻo or Hawaiian coot (coot;<span>&nbsp;</span><i>Fulica alai</i>), and aeʻo or Hawaiian stilt (stilt;<span>&nbsp;</span><i>Himantopus mexicanus knudseni</i>), each with different ecological requirements. There were marked differences in the movement propensity of the species, with no movement among sites detected in gallinules, 31% of coots moving among wetlands, and very high levels of daily movement in stilts. A network analysis revealed strong evidence for fidelity among individual stilts to specific wetlands, indicating different groups of wetlands supported different birds. There was also strong evidence for patterns in daily and seasonal movement patterns of stilts. Our work indicates the importance of each wetland to the waterbirds they support, as each individual had strong fidelity to a single wetland. In addition, for Hawaiian coots and stilts, which were documented moving among multiple wetlands, a network of wetlands may be key for long-term persistence of these endangered species, and coordinated regional management of waterbirds as a shared resource could provide greater benefits to waterbirds than independent management of each wetland.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.22336","usgsCitation":"Paxton, E.H., Paxton, K.L., Kawasaki, M., Gorresen, P., van Rees, C.B., and Underwood, J., 2023, Hawaiian waterbird movement across a developed landscape: Journal of Wildlife Management, v. 87, no. 1, e22336, 29 p., https://doi.org/10.1002/jwmg.22336.","productDescription":"e22336, 29 p.","ipdsId":"IP-137941","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":435555,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q8FE9Q","text":"USGS data release","linkHelpText":"O'ahu waterbird movement from 2016 to 2018"},{"id":413095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Oahu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -158.34887466241196,\n              21.70200490535362\n            ],\n            [\n              -158.33240216576903,\n              21.421142210553228\n            ],\n            [\n              -158.14022303826806,\n              21.23701140969804\n            ],\n            [\n              -157.79979144098067,\n              21.160222194735198\n            ],\n            [\n              -157.58015815240813,\n              21.249805729020665\n            ],\n            [\n              -157.76959186380196,\n              21.5999359931226\n            ],\n            [\n              -157.9617709913028,\n              21.81419717471141\n            ],\n            [\n              -158.34887466241196,\n              21.70200490535362\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"87","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":864310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paxton, Kristina L. 0000-0003-2321-5090","orcid":"https://orcid.org/0000-0003-2321-5090","contributorId":41917,"corporation":false,"usgs":false,"family":"Paxton","given":"Kristina","email":"","middleInitial":"L.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":864311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kawasaki, Martha","contributorId":222802,"corporation":false,"usgs":false,"family":"Kawasaki","given":"Martha","email":"","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":864312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorresen, P. Marcos 0000-0002-0707-9212","orcid":"https://orcid.org/0000-0002-0707-9212","contributorId":196628,"corporation":false,"usgs":false,"family":"Gorresen","given":"P. Marcos","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":864313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Rees, Charles B.","contributorId":198604,"corporation":false,"usgs":false,"family":"van Rees","given":"Charles","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":864314,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Underwood, Jared G.","contributorId":139332,"corporation":false,"usgs":false,"family":"Underwood","given":"Jared G.","affiliations":[],"preferred":false,"id":864315,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70240238,"text":"70240238 - 2023 - Vein-type gold formation during late extensional collapse of the Eastern Desert, Egypt: the Gidami deposit","interactions":[],"lastModifiedDate":"2023-03-15T15:08:13.838441","indexId":"70240238","displayToPublicDate":"2022-11-22T09:42:35","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Vein-type gold formation during late extensional collapse of the Eastern Desert, Egypt: the Gidami deposit","docAbstract":"<p><span>Orogenic gold deposits, though construed to focused fluid flow during orogenesis, commonly post-date the main accretionary events. Several lines of evidence indicate that orogenic gold formation in the Arabian–Nubian Shield continued through the orogen collapse stage and associated rapid exhumation and thermal re-equilibration. The Gidami gold deposit in the Eastern Desert of Egypt is associated with post-foliation, brittle-ductile shear zones that deformed a weakly foliated tonalite-trondhjemite massif dated as ~ 704&nbsp;Ma (U–Pb zircon age). Gold-sulfide quartz veins exhibit textural features indicative of repeated mylonitization, recrystallization, and muscovite crystallization. New&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages of muscovite flakes from the auriferous quartz veins and from the altered wallrock overlap within analytical uncertainty at ~ 583&nbsp;Ma, which corresponds to the climax of extension-related wrenching and rapid exhumation in the region (~ 596 to 582&nbsp;Ma). Laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) data coupled with microtextural characteristics suggest that early formed pyrite generations experienced substantial fluid-mediated recrystallization, and that a set of metals was remobilized by later fluids. A late generation of fibrous pyrite, ubiquitous in microfractures, deposited while the veins re-opened and deformed. The occurrence of free gold particles along with a late-paragenetic assemblage of galena-sphalerite-chalcopyrite(± hessite ± cervelleite) was related to influx of low salinity, metalliferous H</span><sub>2</sub><span>O-NaCl-CO</span><sub>2</sub><span>-CH</span><sub>4</sub><span>&nbsp;fluids as indicated by the fluid inclusion&nbsp;laser Raman spectroscopy and microthermometry results. Au-mobilization and redeposition at&nbsp;</span><i>T</i><span> ≤ 350&nbsp;°C and&nbsp;</span><i>P</i><span> ~ 1 to 1.7 kbar, triggered by intermittent fluid pluses and thermal re-equilibration, were most likely stimulated by extensional structures and within-plate magmatism. Coincident province- and deposit-scale pressure–temperature-time data highlight the pivotal role of the orogenic collapse tectonics in gold endowment in the Central Eastern Desert’s crust.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00126-022-01152-w","usgsCitation":"Zoheir, B., McAleer, R.J., Steele-MacInnis, M., Zeh, A., Bain, W.M., and Poulette, S., 2023, Vein-type gold formation during late extensional collapse of the Eastern Desert, Egypt: the Gidami deposit: Mineralium Deposita, v. 58, p. 681-706, https://doi.org/10.1007/s00126-022-01152-w.","productDescription":"26 p.","startPage":"681","endPage":"706","ipdsId":"IP-137403","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":445212,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00126-022-01152-w","text":"Publisher Index Page"},{"id":435556,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TQJM2X","text":"USGS data release","linkHelpText":"40Ar/39Ar data from the Gidami gold deposit, Egypt"},{"id":412618,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Egypt","otherGeospatial":"Gidami deposit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              32.901847411522795,\n              26.860406314926138\n            ],\n            [\n              32.901847411522795,\n              26.278618243726157\n            ],\n            [\n              33.8609616296647,\n              26.278618243726157\n            ],\n            [\n              33.8609616296647,\n              26.860406314926138\n            ],\n            [\n              32.901847411522795,\n              26.860406314926138\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"58","noUsgsAuthors":false,"publicationDate":"2022-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Zoheir, Basem 0000-0003-1792-9134","orcid":"https://orcid.org/0000-0003-1792-9134","contributorId":256944,"corporation":false,"usgs":false,"family":"Zoheir","given":"Basem","email":"","affiliations":[{"id":51910,"text":"Benha University","active":true,"usgs":false}],"preferred":false,"id":863051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":863052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steele-MacInnis, Matthew","contributorId":261191,"corporation":false,"usgs":false,"family":"Steele-MacInnis","given":"Matthew","email":"","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":863053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zeh, Armin 0000-0001-9476-8501","orcid":"https://orcid.org/0000-0001-9476-8501","contributorId":256945,"corporation":false,"usgs":false,"family":"Zeh","given":"Armin","email":"","affiliations":[{"id":51911,"text":"Karlsruher Institut für Technologie","active":true,"usgs":false}],"preferred":false,"id":863054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bain, Wyatt M.","contributorId":301916,"corporation":false,"usgs":false,"family":"Bain","given":"Wyatt","email":"","middleInitial":"M.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":863055,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poulette, Spencer","contributorId":301917,"corporation":false,"usgs":false,"family":"Poulette","given":"Spencer","email":"","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":863056,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70238909,"text":"70238909 - 2023 - Addressing detection uncertainty in Bombus affinis (Hymenoptera: Apidae) surveys can improve inferences made from monitoring","interactions":[],"lastModifiedDate":"2023-03-01T17:03:18.36297","indexId":"70238909","displayToPublicDate":"2022-11-22T09:32:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1536,"text":"Environmental Entomology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Addressing detection uncertainty in <i>Bombus affinis</i> (Hymenoptera: Apidae) surveys can improve inferences made from monitoring","title":"Addressing detection uncertainty in Bombus affinis (Hymenoptera: Apidae) surveys can improve inferences made from monitoring","docAbstract":"<p><span>The U.S. Fish and Wildlife Service developed national guidelines to track species recovery of the endangered rusty patched bumble bee [</span><i>Bombus affinis</i><span>&nbsp;Cresson (Hymenoptera: Apidae)] and to investigate changes in species occupancy across space and time. As with other native bee monitoring efforts, managers have specifically acknowledged the need to address species detection uncertainty and determine the sampling effort required to infer species absence within sites. We used single-season, single-species occupancy models fit to field data collected in four states to estimate imperfect detection of&nbsp;</span><i>B. affinis</i><span>&nbsp;and to determine the survey effort required to achieve high confidence of species detection. Our analysis revealed a precipitous, seasonal, decline in&nbsp;</span><i>B. affinis</i><span>&nbsp;detection probability throughout the July through September sampling window in 2021. We estimated that six, 30-min surveys conducted in early July are required to achieve a 95% cumulative detection probability, whereas &gt;10 surveys would be required in early August to achieve the same level of confidence. Our analysis also showed&nbsp;</span><i>B. affinis</i><span>&nbsp;was less likely to be detected during hot and humid days and at patches of reduced habitat quality.&nbsp;</span><i>Bombus affinis</i><span>&nbsp;was frequently observed on&nbsp;</span><i>Monarda fistulosa</i><span>&nbsp;(Lamiales: Lamiaceae), followed by [</span><i>Pycnanthemum virginianum</i><span>&nbsp;Rob. and Fernald (Lamiales: Lamiaceae)]</span><i>, Eutrochium maculatum</i><span>&nbsp;Lamont (Asterales: Asteraceae), and&nbsp;</span><i>Veronicastrum virginicum</i><span>&nbsp;Farw. (Lamiales: Plantaginaceae). Although our research is focused on&nbsp;</span><i>B. affinis</i><span>, it is relevant for monitoring other bumble bees of conservation concern, such as&nbsp;</span><i>B. occidentalis</i><span>&nbsp;Greene (Hymenoptera: Apidae) and&nbsp;</span><i>B. terricola</i><span>&nbsp;Kirby (Hymenoptera: Apidae) for which monitoring efforts have been recently initiated and occupancy is a variable of conservation interest.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ee/nvac090","usgsCitation":"Otto, C., Schrage, A., Bailey, L., Mola, J.M., Smith, T.A., Pearse, I., Simanonok, S.C., and Grundel, R., 2023, Addressing detection uncertainty in Bombus affinis (Hymenoptera: Apidae) surveys can improve inferences made from monitoring: Environmental Entomology, v. 52, no. 1, p. 108-118, https://doi.org/10.1093/ee/nvac090.","productDescription":"11 p.","startPage":"108","endPage":"118","ipdsId":"IP-142627","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":445215,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ee/nvac090","text":"Publisher Index Page"},{"id":435557,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KCT9HS","text":"USGS data release","linkHelpText":"Dataset: Addressing detection uncertainty in Bombus affinis (Hymenoptera: Apidae) surveys can improve inferences made from monitoring"},{"id":410629,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n 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L.","contributorId":229353,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":859125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mola, John Michael 0000-0002-5394-9071","orcid":"https://orcid.org/0000-0002-5394-9071","contributorId":224281,"corporation":false,"usgs":true,"family":"Mola","given":"John","email":"","middleInitial":"Michael","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":859126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Tamara A.","contributorId":257977,"corporation":false,"usgs":false,"family":"Smith","given":"Tamara","email":"","middleInitial":"A.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":859127,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":859128,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Simanonok, Stacy C. 0000-0002-0287-3871","orcid":"https://orcid.org/0000-0002-0287-3871","contributorId":229607,"corporation":false,"usgs":true,"family":"Simanonok","given":"Stacy","email":"","middleInitial":"C.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":859129,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grundel, Ralph 0000-0002-2949-7087 rgrundel@usgs.gov","orcid":"https://orcid.org/0000-0002-2949-7087","contributorId":2444,"corporation":false,"usgs":true,"family":"Grundel","given":"Ralph","email":"rgrundel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":859130,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70239856,"text":"70239856 - 2023 - Density surface and excursion sets modeling as an approach to estimating population densities","interactions":[],"lastModifiedDate":"2023-01-23T15:11:32.487505","indexId":"70239856","displayToPublicDate":"2022-11-22T08:59:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Density surface and excursion sets modeling as an approach to estimating population densities","docAbstract":"<p><span>Effective species management and conservation require knowledge of species distribution and status. We used point-transect distance sampling surveys of the endangered palila (</span><i>Loxioides bailleui</i><span>), a honeycreeper currently found only on the Island of Hawai'i, USA, to generate robust estimates of total abundance and simultaneously model the distribution, abundance, and spatial correlation of the species as a density surface model (DSM). Point-transect distance sampling is a widely applied method to estimate bird densities accounting for imperfect detection probability. For the DSM we used a generalized additive model framework and soap film smoothers to control the effects of boundary features. This modeling approach allowed us to account for imperfect detection and propagate detection probability uncertainty. We compared the uncertainty in palila abundance estimates using standard point-transect distance sampling to estimates from the DSM. The DSM, accounting for both distance-sampling-derived detection probability variance and the generalized additive model density estimate variance, did not improve population estimator precision; however, it provided insight into the species' distribution, density, and uncertainty. We also applied excursion sets analysis to objectively identify areas where the species occurs in high densities. The 2017 global population of &lt;2,000 individuals was limited to an excursion area of 1,500 ha. Our findings can help management and regulatory agencies by simultaneously mapping a species' distribution and density, improving survey protocols, and providing information important to species conservation.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22332","usgsCitation":"Camp, R.J., Asing, C.K., Banko, P.C., Berry, L., Brinck, K., Farmer, C., and Genz, A., 2023, Density surface and excursion sets modeling as an approach to estimating population densities: Journal of Wildlife Management, v. 87, no. 2, e22332, 18 p., https://doi.org/10.1002/jwmg.22332.","productDescription":"e22332, 18 p.","ipdsId":"IP-131687","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":445216,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22332","text":"Publisher Index Page"},{"id":412215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Kea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.75,\n              20\n            ],\n            [\n              -155.75,\n              19.666\n            ],\n            [\n              -155.25,\n              19.666\n            ],\n            [\n              -155.25,\n              20\n            ],\n            [\n              -155.75,\n              20\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"87","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":862155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asing, Chauncey K.","contributorId":272645,"corporation":false,"usgs":false,"family":"Asing","given":"Chauncey","email":"","middleInitial":"K.","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":862156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":862157,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, Lainie","contributorId":272646,"corporation":false,"usgs":false,"family":"Berry","given":"Lainie","email":"","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":862158,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":3847,"corporation":false,"usgs":true,"family":"Brinck","given":"Kevin W.","email":"kbrinck@usgs.gov","affiliations":[],"preferred":false,"id":862159,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farmer, Chris","contributorId":150179,"corporation":false,"usgs":false,"family":"Farmer","given":"Chris","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":862160,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Genz, Ayesha 0000-0002-2916-1436","orcid":"https://orcid.org/0000-0002-2916-1436","contributorId":196671,"corporation":false,"usgs":false,"family":"Genz","given":"Ayesha","email":"","affiliations":[],"preferred":false,"id":862161,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70238616,"text":"70238616 - 2023 - Geophysical data provide three dimensional insights into porphyry copper systems in the Silverton caldera, Colorado, USA","interactions":[],"lastModifiedDate":"2022-12-01T14:03:23.274569","indexId":"70238616","displayToPublicDate":"2022-11-22T07:56:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical data provide three dimensional insights into porphyry copper systems in the Silverton caldera, Colorado, USA","docAbstract":"<p><span>The Silverton caldera in southwest Colorado, USA hosts polymetallic veins and pervasively altered rocks indicative of porphyry copper systems. Nearly a kilometer of erosion has exposed multiple levels of the hydrothermal systems from shallow lithocaps down to quartz-sericite-pyrite veins. New airborne electromagnetic and magnetic survey data are integrated with previous alteration mapping and porphyry models to show the subsurface geophysical response of shallow to deep levels of the porphyry system. Qualitative map views show lateral changes in the magnetization and resistivity of the hydrothermally altered rocks. The volcanic terrain exhibits high magnetization and high amplitude anomalies map near-surface plutonic rocks associated with porphyry systems. Magnetic susceptibility measurements on outcrops of hydrothermally altered rocks indicate magnetite content decreases upward and outward from the source intrusions where magnetic anomaly lows are observed over the lithocaps. The resistivity maps highlight hydrothermal alteration as resistivity lows with exception being rocks having propylitic alteration. Quantitative resistivity models show low resistivity zones with an apparent thickness around 50–150&nbsp;m beneath quartz-sericite-pyrite veins interpreted to be the result of supergene processes that may continue today, and the calculated magnetic source depths occur near the top of this zone. The resistivity models also show rocks having propylitic, silicic, and quartz-alunite-pyrophyllite assemblages exhibit high resistivity with depth, and argillic alteration assemblages had high resistivity due to high quartz content. This integrated approach presented in a three-dimensional environment provides guidance when exploring for porphyry copper systems in less exposed terrains.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2022.105223","usgsCitation":"Anderson, E., Yager, D., Deszcz-Pan, M., Hoogenboom, B.E., Rodriguez, B.D., and Smith, B., 2023, Geophysical data provide three dimensional insights into porphyry copper systems in the Silverton caldera, Colorado, USA: Ore Geology Reviews, v. 152, 105223, 22 p., https://doi.org/10.1016/j.oregeorev.2022.105223.","productDescription":"105223, 22 p.","ipdsId":"IP-139706","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":445219,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2022.105223","text":"Publisher Index Page"},{"id":435558,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99JRNU2","text":"USGS data release","linkHelpText":"Magnetic susceptibility measurements on hydrothermally altered rocks in the Silverton caldera, southwest Colorado"},{"id":409918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Silverton caldera","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.41198468872895,\n              38.21942984890151\n            ],\n            [\n              -108.41198468872895,\n              37.34604421849235\n            ],\n            [\n              -107.19637481288558,\n              37.34604421849235\n            ],\n            [\n              -107.19637481288558,\n              38.21942984890151\n            ],\n            [\n              -108.41198468872895,\n              38.21942984890151\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"152","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Eric D. 0000-0002-0138-6166","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":202072,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":858106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yager, Douglas 0000-0001-5074-4022","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":202073,"corporation":false,"usgs":true,"family":"Yager","given":"Douglas","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":858107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deszcz-Pan, Maria 0000-0002-6298-5314 maryla@usgs.gov","orcid":"https://orcid.org/0000-0002-6298-5314","contributorId":1263,"corporation":false,"usgs":true,"family":"Deszcz-Pan","given":"Maria","email":"maryla@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":858108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoogenboom, Bennett Eugene 0000-0001-8096-3533","orcid":"https://orcid.org/0000-0001-8096-3533","contributorId":239871,"corporation":false,"usgs":true,"family":"Hoogenboom","given":"Bennett","email":"","middleInitial":"Eugene","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":858109,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":858110,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Bruce 0000-0002-1643-2997","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":214824,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":858111,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70242079,"text":"70242079 - 2023 - Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: A multi-model study","interactions":[],"lastModifiedDate":"2023-04-06T14:06:36.348726","indexId":"70242079","displayToPublicDate":"2022-11-22T07:04:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13786,"text":"The Lancet Regional Health - Americas","active":true,"publicationSubtype":{"id":10}},"title":"Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: A multi-model study","docAbstract":"<div id=\"abssec0010\"><h3 id=\"sectitle0015\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Background</h3><p id=\"abspara0010\">The COVID-19 Scenario Modeling Hub convened nine modeling teams to project the impact of expanding SARS-CoV-2 vaccination to children aged 5–11 years on COVID-19 burden and resilience against variant strains.</p></div><div id=\"abssec0015\"><h3 id=\"sectitle0020\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Methods</h3><p id=\"abspara0015\">Teams contributed state- and national-level weekly projections of cases, hospitalizations, and deaths in the United States from September 12, 2021 to March 12, 2022. Four scenarios covered all combinations of 1) vaccination (or not) of children aged 5–11 years (starting November 1, 2021), and 2) emergence (or not) of a variant more transmissible than the Delta variant (emerging November 15, 2021). Individual team projections were linearly pooled. The effect of childhood vaccination on overall and age-specific outcomes was estimated using meta-analyses.</p></div><div id=\"abssec0020\"><h3 id=\"sectitle0025\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Findings</h3><p id=\"abspara0020\">Assuming that a new variant would not emerge, all-age COVID-19 outcomes were projected to decrease nationally through mid-March 2022. In this setting, vaccination of children 5–11 years old was associated with reductions in projections for all-age cumulative cases (7.2%, mean incidence ratio [IR] 0.928, 95% confidence interval [CI] 0.880–0.977), hospitalizations (8.7%, mean IR 0.913, 95% CI 0.834–0.992), and deaths (9.2%, mean IR 0.908, 95% CI 0.797–1.020) compared with scenarios without childhood vaccination. Vaccine benefits increased for scenarios including a hypothesized more transmissible variant, assuming similar vaccine effectiveness. Projected relative reductions in cumulative outcomes were larger for children than for the entire population. State-level variation was observed.</p></div><div id=\"abssec0025\"><h3 id=\"sectitle0030\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Interpretation</h3><p id=\"abspara0025\">Given the scenario assumptions (defined before the emergence of Omicron), expanding vaccination to children 5–11 years old would provide measurable direct benefits, as well as indirect benefits to the all-age U.S. population, including resilience to more transmissible variants.</p></div><div id=\"abssec0030\"><h3 id=\"sectitle0035\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Funding</h3><p id=\"abspara0030\">Various (see acknowledgments).</p></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.lana.2022.100398","usgsCitation":"Borchering, R.K., Mullany, L.C., Howerton, E., Chinazzi, M., Smith, C.P., Qin, M., Reich, N.G., Contamin, L., Levander, J., Kerr, J., Espino, J., Hochheiser, H., Lovett, K., Kinsey, M., Tallaksen, K., Wilson, S., Shin, L., Lemaitre, J., Dent Hulse, J., Kaminsky, J., Lee, E.C., Hill, A., Davis, J., Mu, K., Xiong, X., Pastore y Piontti, A., Vespignani, A., Srivastava, A., Porebski, P., Venkatramanan, S., Adiga, A., Lewis, B., Klahn, B., Outten, J., Hurt, B., Chen, J., Mortveit, H., Wilson, A., Marathe, M., Hoops, S., Bhattacharya, P., Machi, D., Chen, S., Paul, R., Janies, D., Thill, J., Galanti, M., Yamana, T., Pei, S., Shaman, J.L., Espana, G., Cavany, S., Moore, S., Perkins, A., Healy, J., Slayton, R.B., Johansson, M.A., Biggerstaff, M., Shea, K., Truelove, S., Runge, M.C., Viboud, C., and Lessler, J., 2023, Impact of SARS-CoV-2 vaccination of children ages 5–11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021–March 2022: A multi-model study: The Lancet Regional Health - Americas, v. 17, 100398, 11 p., https://doi.org/10.1016/j.lana.2022.100398.","productDescription":"100398, 11 p.","ipdsId":"IP-136782","costCenters":[{"id":50464,"text":"Eastern Ecological Science 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,{"id":70249769,"text":"70249769 - 2023 - Automatic recorders monitor wolves at rendezvous sites: do wolves adjust howling to live near humans?","interactions":[],"lastModifiedDate":"2023-10-27T11:39:30.4958","indexId":"70249769","displayToPublicDate":"2022-11-22T06:37:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Automatic recorders monitor wolves at rendezvous sites: do wolves adjust howling to live near humans?","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>We used automatic sound recorders to study spontaneous vocalizations of wild wolves during the pup-rearing season around rendezvous sites from 24 wolf packs in six study areas across North America, Asia, and Europe. Between 2018 and 2021, for a total of 1225 pack-days, we recorded 605 spontaneous wolf chorus howls and 224 solo-howl series. Howling occurrence varied across areas, from 12.50 to 94.12% days with howling. Daily howling ranged from 0.00 to 3.47 solo howls/day and 0.13 to 5.29 chorus howls/day. Generally, spontaneous chorus howls peaked between sunset and sunrise. Howling rate depended on area, pack size, and density of people living nearby, being greater where fewer people lived. High rates in Yellowstone National Park, (800,000+ visitors during the study) could reflect accommodation to human activities such as wolf watching. One to six automatic recorders per site within 1000&nbsp;m of rendezvous sites needed 4–15&nbsp;days to detect the pack (average 9.5) and 5–21&nbsp;days (average 11.3) to detect pups, both with a probability of 95%. Our results may guide wolf-monitoring programs using automatic sound recorders, a promising method offering advantages over howling surveys, especially in human-dominated landscapes.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10531-022-02506-6","usgsCitation":"Palacios, V., Marti-Domken, B., Barber-Meyer, S., Habib, B., Lopez-Bao, J.V., Smith, D.W., Stahler, D.R., Garcia, E.J., Sazatornil, V., and Mech, L.D., 2023, Automatic recorders monitor wolves at rendezvous sites: do wolves adjust howling to live near humans?: Biodiversity and Conservation, v. 23, p. 363-383, https://doi.org/10.1007/s10531-022-02506-6.","productDescription":"21 p.","startPage":"363","endPage":"383","ipdsId":"IP-141017","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":422180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","noUsgsAuthors":false,"publicationDate":"2022-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Palacios, Vicente","contributorId":270224,"corporation":false,"usgs":false,"family":"Palacios","given":"Vicente","affiliations":[{"id":56116,"text":"ARCA / ACNHE Spain","active":true,"usgs":false}],"preferred":false,"id":886983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marti-Domken, Barbara","contributorId":268183,"corporation":false,"usgs":false,"family":"Marti-Domken","given":"Barbara","email":"","affiliations":[{"id":56116,"text":"ARCA / ACNHE Spain","active":true,"usgs":false}],"preferred":false,"id":886984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber-Meyer, Shannon","contributorId":331217,"corporation":false,"usgs":false,"family":"Barber-Meyer","given":"Shannon","affiliations":[{"id":79155,"text":"Pacific Whale Foundation","active":true,"usgs":false}],"preferred":false,"id":886985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Habib, Bilal","contributorId":331218,"corporation":false,"usgs":false,"family":"Habib","given":"Bilal","email":"","affiliations":[{"id":79157,"text":"Wildlife Institute of Indian, Dehra Dun, Uttarakhand India","active":true,"usgs":false}],"preferred":false,"id":886986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lopez-Bao, Jose Vicente","contributorId":331219,"corporation":false,"usgs":false,"family":"Lopez-Bao","given":"Jose","email":"","middleInitial":"Vicente","affiliations":[{"id":79159,"text":"Biodiversity Research Institute (CSIC - Oviedo University","active":true,"usgs":false}],"preferred":false,"id":886987,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Douglas W.","contributorId":207018,"corporation":false,"usgs":false,"family":"Smith","given":"Douglas","email":"","middleInitial":"W.","affiliations":[{"id":37432,"text":"Yellowstone National Park","active":true,"usgs":false}],"preferred":false,"id":886988,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stahler, Daniel R.","contributorId":179180,"corporation":false,"usgs":false,"family":"Stahler","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":886989,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Garcia, Emilio Jose","contributorId":331220,"corporation":false,"usgs":false,"family":"Garcia","given":"Emilio","email":"","middleInitial":"Jose","affiliations":[{"id":79160,"text":"ARCA, People and Nature, SL, Spain.","active":true,"usgs":false}],"preferred":false,"id":886990,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sazatornil, Victor","contributorId":331221,"corporation":false,"usgs":false,"family":"Sazatornil","given":"Victor","email":"","affiliations":[{"id":79161,"text":"Forest Science and Technology Center of Catalonia","active":true,"usgs":false}],"preferred":false,"id":886991,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":886992,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
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