{"pageNumber":"384","pageRowStart":"9575","pageSize":"25","recordCount":184776,"records":[{"id":70255203,"text":"70255203 - 2022 - Multidecadal trends in body size of Puget Sound Chinook Salmon: Analysis of data from the Tengu Derby, a culturally unique fishery","interactions":[],"lastModifiedDate":"2024-06-13T15:41:53.528254","indexId":"70255203","displayToPublicDate":"2022-05-19T10:35:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Multidecadal trends in body size of Puget Sound Chinook Salmon: Analysis of data from the Tengu Derby, a culturally unique fishery","docAbstract":"<p><span>In Pacific salmon&nbsp;</span><i>Oncorhynchus</i><span>&nbsp;spp., downward trends in size and abundance have been reported for species and stocks for over 40 years, but the patterns are inconsistent among regions and species. Interpretation of these trends is complicated by many possible contributing factors, including short time series, data comprising a mix of stocks, and varying gear types. Here, we present data on the mass of individual Chinook Salmon&nbsp;</span><i>Oncorhynchus tshawytscha</i><span>&nbsp;caught in the winter from 1946 to 2019 in central Puget Sound, Washington, by participants in what may be the longest running Pacific salmon derby in North America, the Tengu Derby. In this annual recreational fishing competition, established by Japanese Americans immediately after release from internment camps at the end of World War II, participants follow strict gear, area, and methods regulations and catch almost exclusively salmonids originating from and remaining in Puget Sound. Records revealed an overall decline in fish mass over the decades, with a high degree of variability throughout the time series. Specifically, resident Chinook Salmon exhibited several shifts, including a decrease in size from a high in the 1950s to a low around 1980, followed by an increase to another high around 1990 and then a decline over the most recent 30 years. These size trends of residents differed from those of Puget Sound Chinook Salmon as a whole. We infer that the resident fish experienced ecological conditions affecting their growth that were distinct from those of fish feeding along the Pacific Ocean in the same periods. These distinct trends in size of Chinook Salmon from common origins indicate that the different migration patterns of fish within stocks must be considered in the analysis and interpretation of body size trends and also in patterns of survival.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10205","usgsCitation":"Quinn, T.P., Scheuerell, M.D., Losee, J.P., and Hanada, D., 2022, Multidecadal trends in body size of Puget Sound Chinook Salmon: Analysis of data from the Tengu Derby, a culturally unique fishery: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 14, no. 3, e10205, 9 p., https://doi.org/10.1002/mcf2.10205.","productDescription":"e10205, 9 p.","ipdsId":"IP-134579","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":447727,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/mcf2.10205","text":"External Repository"},{"id":430144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elliott Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.43455658105538,\n              47.64585062253411\n            ],\n            [\n              -122.43455658105538,\n              47.57080816427981\n            ],\n            [\n              -122.33689033923267,\n              47.57080816427981\n            ],\n            [\n              -122.33689033923267,\n              47.64585062253411\n            ],\n            [\n              -122.43455658105538,\n              47.64585062253411\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Quinn, Thomas P.","contributorId":167272,"corporation":false,"usgs":false,"family":"Quinn","given":"Thomas","email":"","middleInitial":"P.","affiliations":[{"id":24671,"text":"School of Aquatic and Fsiery Sciences, UW, Box 355020, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":903720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scheuerell, Mark David 0000-0002-8284-1254","orcid":"https://orcid.org/0000-0002-8284-1254","contributorId":288621,"corporation":false,"usgs":true,"family":"Scheuerell","given":"Mark","email":"","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Losee, James P","contributorId":239689,"corporation":false,"usgs":false,"family":"Losee","given":"James","email":"","middleInitial":"P","affiliations":[{"id":47976,"text":"Washington Department of Fish and Wildlife, Fish Program, Olympia, WA, 98501, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":903722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanada, Doug","contributorId":338983,"corporation":false,"usgs":false,"family":"Hanada","given":"Doug","email":"","affiliations":[{"id":81223,"text":"Tengu Club President","active":true,"usgs":false}],"preferred":false,"id":903723,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256677,"text":"70256677 - 2022 - Local populations of eastern oyster from Louisiana differ in low salinity tolerance","interactions":[],"lastModifiedDate":"2024-08-30T15:13:48.665336","indexId":"70256677","displayToPublicDate":"2022-05-19T10:05:17","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Local populations of eastern oyster from Louisiana differ in low salinity tolerance","docAbstract":"<p><span>Eastern oysters&nbsp;</span><i>Crassostrea virginica</i><span>&nbsp;support a critical commercial industry and provide many ecosystem services to coastal estuaries yet are currently threatened by changing estuarine conditions. A changing climate and the effects of river and coastal management are altering freshwater inflows into productive oyster areas, causing more frequent and extreme salinity exposure. Although eastern oysters are tolerant to a wide range of salinity means and variations, more frequent and extreme exposure to low salinity (&lt;5‰) impacts oyster populations and aquaculture operations. This study assessed four Louisiana eastern oyster stocks to explore population-specific responses to low-salinity exposure. Hatchery-produced progeny (10–25 mm) were deployed in baskets kept off-bottom on longline systems in a low-salinity (mean ± 1 standard error of the mean daily salinity = 8.7 ± 0.2‰; range = 1.2–19.0‰) and a moderate-salinity (16.8 ± 0.3‰; 4.8–30.0‰) environment for 1 year, beginning in December 2019, with growth and mortality determined monthly. Significant differences in cumulative mortality between stocks at the end of the study were found at the low-salinity site, with the greatest increase in cumulative mortality occurring mid-July to mid-August. Mortality differences between stocks suggest that some eastern oyster populations (i.e., stocks) may be better suited to low salinity or low-salinity events than others. This difference may be attributed to similarity between site of origin and grow-out site conditions and/or to greater salinity variability and therefore higher phenotypic plasticity in some eastern oyster populations compared with others. The identification of oyster stocks able to survive under extreme low-salinity conditions may facilitate the development of “low-salinity-tolerant” broodstock to support aquaculture in areas experiencing and predicted to experience low-salinity events.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/naaq.10248","usgsCitation":"Swam, L., La Peyre, M., Callam, B., and La Peyre, J., 2022, Local populations of eastern oyster from Louisiana differ in low salinity tolerance: North American Journal of Aquaculture, v. 84, no. 3, p. 381-391, https://doi.org/10.1002/naaq.10248.","productDescription":"11 p.","startPage":"381","endPage":"391","ipdsId":"IP-135300","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467183,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/62209","text":"External Repository"},{"id":433370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.0434688771042,\n              30.101527013125377\n            ],\n            [\n              -94.01703847779518,\n              29.552930802352776\n            ],\n            [\n              -89.01824912136517,\n              28.988744299850225\n            ],\n            [\n              -89.10895991675187,\n              29.46576988537774\n            ],\n            [\n              -94.0434688771042,\n              30.101527013125377\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"84","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Swam, Lauren","contributorId":341557,"corporation":false,"usgs":false,"family":"Swam","given":"Lauren","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":908614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Callam, Brian","contributorId":341558,"corporation":false,"usgs":false,"family":"Callam","given":"Brian","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":908616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Peyre, Jerome F.","contributorId":341559,"corporation":false,"usgs":false,"family":"La Peyre","given":"Jerome F.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":908617,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70231753,"text":"70231753 - 2022 - Opportunities for businesses to use and support development of SEEA-aligned natural capital accounts","interactions":[],"lastModifiedDate":"2022-05-25T15:05:09.521893","indexId":"70231753","displayToPublicDate":"2022-05-19T10:01:36","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1477,"text":"Ecosystem Services","active":true,"publicationSubtype":{"id":10}},"title":"Opportunities for businesses to use and support development of SEEA-aligned natural capital accounts","docAbstract":"<p><span>Global understanding of the interconnections between the environment and economy has increased, driving the development of frameworks and standards that support the measurement and valuation of natural capital and ecosystem services by both governments and businesses. This paper outlines how businesses can use natural capital accounts (NCA) aligned to the System of Environmental Economic Accounting (SEEA) standard described in this special issue to support identification, management, and valuation of natural capital not typically listed on corporate balance sheets. Such accounts have direct applications for business&nbsp;strategic planning, investment decisions,&nbsp;</span>supply chain management<span>, operations management, risk management, and corporate reporting. Businesses also have important roles to play in advancing SEEA-aligned NCA by providing information that would be useful to include in the accounts and by helping to shape accounts to provide decision-relevant information for both the private and the public sectors. Current pilot SEEA-aligned NCA data and analyses developed for the United States can help address some of the common challenges that businesses face in using natural capital data such as accessibility, quality, and credibility, important for business decision making. However, improvements are needed to fill data gaps and produce more frequent and timely estimates aligned to the temporal resolution needed by businesses.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoser.2022.101434","usgsCitation":"Carter Ingram, J., Bagstad, K.J., Vardon, M., Rhodes, C., Posner, S.M., Casey, C.F., Glynn, P.D., and Shapiro, C.D., 2022, Opportunities for businesses to use and support development of SEEA-aligned natural capital accounts: Ecosystem Services, v. 55, 101434, 11 p., https://doi.org/10.1016/j.ecoser.2022.101434.","productDescription":"101434, 11 p.","ipdsId":"IP-130097","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":447732,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoser.2022.101434","text":"Publisher Index Page"},{"id":401046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carter Ingram, Jane 0000-0002-9710-4935","orcid":"https://orcid.org/0000-0002-9710-4935","contributorId":266189,"corporation":false,"usgs":false,"family":"Carter Ingram","given":"Jane","email":"","affiliations":[{"id":54943,"text":"Pollination Group","active":true,"usgs":false}],"preferred":false,"id":843683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":843684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vardon, Michael","contributorId":211875,"corporation":false,"usgs":false,"family":"Vardon","given":"Michael","email":"","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":843685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rhodes, Charles 0000-0002-9040-3684","orcid":"https://orcid.org/0000-0002-9040-3684","contributorId":245881,"corporation":false,"usgs":true,"family":"Rhodes","given":"Charles","email":"","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":843686,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Posner, Stephen M.","contributorId":211872,"corporation":false,"usgs":false,"family":"Posner","given":"Stephen","email":"","middleInitial":"M.","affiliations":[{"id":38335,"text":"COMPASS","active":true,"usgs":false}],"preferred":false,"id":843687,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Casey, Clyde F. 0000-0001-6960-5129","orcid":"https://orcid.org/0000-0001-6960-5129","contributorId":223854,"corporation":false,"usgs":true,"family":"Casey","given":"Clyde","email":"","middleInitial":"F.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":843688,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":843689,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shapiro, Carl D. 0000-0002-9868-7896 cshapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-9868-7896","contributorId":211863,"corporation":false,"usgs":true,"family":"Shapiro","given":"Carl","email":"cshapiro@usgs.gov","middleInitial":"D.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":843690,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70238944,"text":"70238944 - 2022 - Are you sleeping? Are you sleeping? Predicting invasion potential of sleeper species","interactions":[],"lastModifiedDate":"2022-12-19T15:38:46.975749","indexId":"70238944","displayToPublicDate":"2022-05-19T09:32:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Are you sleeping? Are you sleeping? Predicting invasion potential of sleeper species","docAbstract":"<p>Sleeper species are non-native species that are established in a region and could become invasive as climate change makes conditions more favorable for many non-native species. Before we can manage potential sleepers, we must first know their identity. We analyzed non-native, established plants in the Northeast United States (CT, MA, ME, NH, NY, RI, VT) using the Environmental Impact Classification for Alien Taxa (EICAT) protocol to identify species that have negative impacts on native ecological communities as well as negative impacts on agriculture, economies, or human health. Here, we highlight four potential sleeper species to watch out for. A full list of potential sleeper species and reported impacts can be found at https://doi.org/10.7275/yfss-tt69.</p>","language":"English","publisher":"Northeast RISCC Management","doi":"10.7275/7mep-fp25","usgsCitation":"O’Uhuru, A., Barker-Plotkin, A., Dalaba, J., Pfadenhauer, W., Suzzi, A., and Morelli, T.L., 2022, Are you sleeping? Are you sleeping? Predicting invasion potential of sleeper species, 2 p., https://doi.org/10.7275/7mep-fp25.","productDescription":"2 p.","ipdsId":"IP-141067","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":410713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island, 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,{"id":70241460,"text":"70241460 - 2022 - Vegetation type conversion in the US Southwest: Frontline observations and management responses","interactions":[],"lastModifiedDate":"2023-03-21T13:41:34.192541","indexId":"70241460","displayToPublicDate":"2022-05-19T08:35:45","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation type conversion in the US Southwest: Frontline observations and management responses","docAbstract":"Forest and nonforest ecosystems of the western United States are experiencing major transformations in response to land-use change, climate warming, and their interactive effects with wildland fire. Some ecosystems are transitioning to persistent alternative types, hereafter called “vegetation type conversion” (VTC). VTC is one of the most pressing management issues in the southwestern US, yet current strategies to intervene and address change often use trial-and-error approaches devised after the fact. To better understand how to manage VTC, we gathered managers, scientists, and practitioners from across the southwestern US to collect their experiences with VTC challenges, management responses, and outcomes.","language":"English","publisher":"Springer","doi":"10.1186/s42408-022-00131-w","usgsCitation":"Guiterman, C.H., Gregg, R.M., Marshall, L., Beckmann, J., van Mantgem, P., Falk, D.A., Keeley, J., Caprio, A.C., Coop, J.D., Fornwalt, P.J., Haffey, C., Hagmann, R.K., Jackson, S., Lynch, A.M., Margolis, E.Q., Marks, C., Meyer, M.D., Safford, H., Syphard, A.D., Taylor, A.H., Wilcox, C., Carril, D., Enquist, C.A., Huffman, D., Iniguez, J., Molinari, N.A., Restaino, C.M., and Stevens, J., 2022, Vegetation type conversion in the US Southwest: Frontline observations and management responses: Fire Ecology, v. 18, 6, 16 p., https://doi.org/10.1186/s42408-022-00131-w.","productDescription":"6, 16 p.","ipdsId":"IP-134108","costCenters":[{"id":291,"text":"Fort Collins Science 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Keala","contributorId":265575,"corporation":false,"usgs":false,"family":"Hagmann","given":"R.","email":"","middleInitial":"Keala","affiliations":[],"preferred":false,"id":866909,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jackson, Stephen 0000-0002-1487-4652","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":219995,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":866910,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lynch, Ann M.","contributorId":303253,"corporation":false,"usgs":false,"family":"Lynch","given":"Ann","email":"","middleInitial":"M.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":866911,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":866912,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Marks, Christopher","contributorId":289236,"corporation":false,"usgs":false,"family":"Marks","given":"Christopher","email":"","affiliations":[{"id":62075,"text":"National Park Service, Grand Canyon National Park","active":true,"usgs":false}],"preferred":false,"id":866913,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Meyer, Marc D.","contributorId":146492,"corporation":false,"usgs":false,"family":"Meyer","given":"Marc","email":"","middleInitial":"D.","affiliations":[{"id":16711,"text":"USDA Forest Service, Clovis, CA","active":true,"usgs":false}],"preferred":false,"id":866914,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Safford, Hugh","contributorId":210918,"corporation":false,"usgs":false,"family":"Safford","given":"Hugh","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":866915,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Syphard, Alexandra Dunya","contributorId":303254,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"Dunya","affiliations":[{"id":65731,"text":"Vertus Wildfire; San Diego State University","active":true,"usgs":false}],"preferred":false,"id":866916,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Taylor, Alan H.","contributorId":204202,"corporation":false,"usgs":false,"family":"Taylor","given":"Alan","email":"","middleInitial":"H.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":866917,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Wilcox, Craig","contributorId":219868,"corporation":false,"usgs":false,"family":"Wilcox","given":"Craig","email":"","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":866918,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Carril, Dennis","contributorId":289233,"corporation":false,"usgs":false,"family":"Carril","given":"Dennis","email":"","affiliations":[{"id":62074,"text":"US Forest Service Santa Fe National Forest","active":true,"usgs":false}],"preferred":false,"id":866919,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Enquist, Carolyn Armstrong 0000-0001-6677-7064","orcid":"https://orcid.org/0000-0001-6677-7064","contributorId":244370,"corporation":false,"usgs":true,"family":"Enquist","given":"Carolyn","email":"","middleInitial":"Armstrong","affiliations":[{"id":41166,"text":"Southwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":866920,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Huffman, David W.","contributorId":298183,"corporation":false,"usgs":false,"family":"Huffman","given":"David W.","affiliations":[{"id":64511,"text":"Ecological Restoration Institute, Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":866921,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Iniguez, Jose","contributorId":298184,"corporation":false,"usgs":false,"family":"Iniguez","given":"Jose","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":866922,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Molinari, Nicole A.","contributorId":204452,"corporation":false,"usgs":false,"family":"Molinari","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":866923,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Restaino, Christina M","contributorId":173657,"corporation":false,"usgs":false,"family":"Restaino","given":"Christina","email":"","middleInitial":"M","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":866924,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Stevens, Jens T. 0000-0002-2234-1960","orcid":"https://orcid.org/0000-0002-2234-1960","contributorId":289230,"corporation":false,"usgs":false,"family":"Stevens","given":"Jens T.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":866925,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}}
,{"id":70239089,"text":"70239089 - 2022 - Long-term change in metabolism phenology in north temperate lakes","interactions":[],"lastModifiedDate":"2022-12-27T13:39:30.240752","indexId":"70239089","displayToPublicDate":"2022-05-19T07:38:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Long-term change in metabolism phenology in north temperate lakes","docAbstract":"<p><span>The phenology of dissolved oxygen (DO) dynamics and metabolism in north temperate lakes offers a basis for comparing metabolic cycles over multi-year time scales. Although proximal control over lake DO can be attributed to metabolism and physical processes, how those processes evolve over decades largely remains unexplored. Metabolism phenology may reveal the importance of coherence among lakes and facilitate general conclusions about the controls on lake metabolism at regional scales. We developed a Bayesian modeling framework to estimate DO concentrations and metabolism in eight lakes in contrasting landscapes in Wisconsin, USA. We identify the DO and metabolism phenologies for each lake, and use those to compare how decadal patterns relate to trophic state and landscape setting. We show that lakes can be categorized by their hypolimnetic oxygen consumption dynamics, with oligotrophic lakes having a diverse set of patterns and eutrophic lakes having uniform trends of increased oxygen consumption over the last decade. Metabolism phenology is likewise diverse for oligotrophic lakes, whereas eutrophic lakes in southern Wisconsin share consistent long-term patterns of metabolic trends and seasonal DO consumption highlighting the importance of trophic state driving metabolism. Eutrophic lakes had higher magnitudes and more seasonal variation in net ecosystem production in contrast to oligotrophic lakes. Generally, long-term metabolic trends of north temperate lakes suggest a limited influence of climate on lake metabolism and that temporal coherence of long-term metabolism change is driven primarily by the landscape setting.</span></p>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.12098","usgsCitation":"Ladwig, R., Appling, A.P., Delany, A.D., Dugan, H.A., Gao, Q., Lottig, N.R., Stachelek, J., and Hanson, P.C., 2022, Long-term change in metabolism phenology in north temperate lakes: Limnology and Oceanography, v. 67, no. 7, p. 1502-1521, https://doi.org/10.1002/lno.12098.","productDescription":"20 p.","startPage":"1502","endPage":"1521","ipdsId":"IP-129194","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":447736,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.12098","text":"Publisher Index Page"},{"id":411060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Allequash Lake, Big Muskellunge Lake, Crystal Lake, Fish Lake, Lake Mendota, Lake Monona, Sparkling Lake, Trout Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.44583741086252,\n              45.42713733091776\n            ],\n            [\n              -88.27482912542216,\n              45.99753910716336\n            ],\n            [\n              -88.7975276230434,\n              46.05026750966283\n            ],\n            [\n              -90.15312902790299,\n              46.38060711023613\n            ],\n            [\n              -90.38437972463896,\n              45.961454334292114\n            ],\n            [\n              -89.8140799906678,\n              45.500331944022975\n            ],\n            [\n              -88.94409606777147,\n              45.36243948465693\n            ],\n            [\n              -88.44583741086252,\n              45.42713733091776\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.67903684016268,\n              43.304999439250366\n            ],\n            [\n              -89.67903684016268,\n              43.02721851894691\n            ],\n            [\n              -89.30681011972743,\n              43.02721851894691\n            ],\n            [\n              -89.30681011972743,\n              43.304999439250366\n            ],\n            [\n              -89.67903684016268,\n              43.304999439250366\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"67","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Ladwig, Robert 0000-0001-8443-1999","orcid":"https://orcid.org/0000-0001-8443-1999","contributorId":268211,"corporation":false,"usgs":false,"family":"Ladwig","given":"Robert","email":"","affiliations":[],"preferred":false,"id":860012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":860013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delany, Austin D.","contributorId":297480,"corporation":false,"usgs":false,"family":"Delany","given":"Austin","email":"","middleInitial":"D.","affiliations":[{"id":64412,"text":"University of Wisconsin – Madison, Center for Limnology, Madison, Wisconsin, USA","active":true,"usgs":false}],"preferred":false,"id":860014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugan, Hilary A. 0000-0003-4674-1149","orcid":"https://orcid.org/0000-0003-4674-1149","contributorId":300341,"corporation":false,"usgs":false,"family":"Dugan","given":"Hilary","email":"","middleInitial":"A.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":860015,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gao, Qiantong","contributorId":300342,"corporation":false,"usgs":false,"family":"Gao","given":"Qiantong","email":"","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":860016,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lottig, Noah R.","contributorId":172031,"corporation":false,"usgs":false,"family":"Lottig","given":"Noah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":860017,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stachelek, Jemma","contributorId":274864,"corporation":false,"usgs":false,"family":"Stachelek","given":"Jemma","email":"","affiliations":[],"preferred":false,"id":860018,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":860019,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70259617,"text":"70259617 - 2022 - Late Holocene human-environment interactions on the central California coast, USA, inferred from Morro Bay salt marsh sediments","interactions":[],"lastModifiedDate":"2024-10-17T12:11:25.905893","indexId":"70259617","displayToPublicDate":"2022-05-19T07:09:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":815,"text":"Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Late Holocene human-environment interactions on the central California coast, USA, inferred from Morro Bay salt marsh sediments","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><div id=\"sp0050\" class=\"u-margin-s-bottom\"><span>Coastal salt&nbsp;marshes&nbsp;and&nbsp;estuaries&nbsp;provide valuable ecosystem services, yet are susceptible to alteration from human activities. Records of past environmental change in these ecosystems can elucidate relationships between human activities, such as land-use practices, and physical and ecological processes, such as sediment accretion and vegetation changes. To reconstruct the environmental history of one such site, we present inferences based on analysis of&nbsp;sediment cores&nbsp;(including&nbsp;magnetic susceptibility, loss-on-ignition, and pollen) from the Morro Bay salt marsh, located in California’s central coast in the&nbsp;USA. Chronologic control for the sediments was established using radiocarbon dates, a spike in lead (Pb) sourced from gasoline combustion exhaust, and the first identified occurrences of the non-native taxa&nbsp;</span><span>Erodium</span><span>&nbsp;</span>cf.<span>&nbsp;</span><i>cicutarium</i><span>&nbsp;</span>(filaree) and<span>&nbsp;</span><span>Eucalyptus</span><span>. We demonstrate that the Morro Bay watershed was significantly altered following Spanish settlement in the region. Environmental changes associated with&nbsp;livestock&nbsp;grazing and&nbsp;agriculture&nbsp;become evident in the data starting after 1772 CE, when the Mission San Luis Obispo de Tolosa was established nearby. The most prominent changes observed are an increase in the accumulation rate of terrigenous sediment, organic matter, and carbonates, as well as a reduction in arboreal taxa concomitant with increased abundances of shrubs, herbs, and grasses. The expansion of&nbsp;</span><span>Salicornia</span><span>&nbsp;(pickleweed) in the 19th century suggests the salt marsh expanded at this time due to increased sediment accumulation and a resulting increase in&nbsp;local elevation. The timing and character of changes recorded in the Morro Bay salt marsh sediments are similar to those documented across California in&nbsp;estuaries,&nbsp;marshes, lakes, and meadows, demonstrating the magnitude of the impacts of European settlement and associated land-use practices in this region.</span></div></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ancene.2022.100339","usgsCitation":"Broadman, E., Reidy, L.M., and Wahl, D., 2022, Late Holocene human-environment interactions on the central California coast, USA, inferred from Morro Bay salt marsh sediments: Anthropocene, v. 38, 100339, https://doi.org/10.1016/j.ancene.2022.100339.","productDescription":"100339","ipdsId":"IP-099787","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":462941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Broadman, Ellie 0000-0002-6794-3922","orcid":"https://orcid.org/0000-0002-6794-3922","contributorId":345205,"corporation":false,"usgs":false,"family":"Broadman","given":"Ellie","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":915984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reidy, Liam M.","contributorId":105372,"corporation":false,"usgs":true,"family":"Reidy","given":"Liam","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":916036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wahl, David 0000-0002-0451-3554","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":206113,"corporation":false,"usgs":true,"family":"Wahl","given":"David","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":915985,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231727,"text":"70231727 - 2022 - Streambank and floodplain geomorphic change and contribution to watershed material budgets","interactions":[],"lastModifiedDate":"2022-05-25T11:55:02.13662","indexId":"70231727","displayToPublicDate":"2022-05-19T06:50:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Streambank and floodplain geomorphic change and contribution to watershed material budgets","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Stream geomorphic change is highly spatially variable but critical to landform evolution, human infrastructure, habitat, and watershed pollutant transport. However, measurements and process models of streambank erosion and floodplain deposition and resulting sediment fluxes are currently insufficient to predict these rates in all perennial streams over large regions. Here we measured long-term lateral streambank and vertical floodplain change and sediment fluxes using dendrogeomorphology in streams around the U.S. Mid-Atlantic, and then statistically modeled and extrapolated these rates to all 74 133 perennial, nontidal streams in the region using watershed- and reach-scale predictors. Measured long-term rates of streambank erosion and floodplain deposition were highly spatially variable across the landscape from the mountains to the coast. Random Forest regression identified that geomorphic change and resulting fluxes of sediment and nutrients, for both streambank and floodplain, were most influenced by urban and agricultural land use and the drainage area of the upstream watershed. Modeled rates for headwater streams were net erosional whereas downstream reaches were on average net depositional, leading to regional cumulative sediment loads from streambank erosion (−5.1 Tg yr<sup>−1</sup>) being nearly balanced by floodplain deposition (+5.3 Tg yr<sup>−1</sup>). Geomorphic changes in stream valleys had substantial influence on watershed sediment, phosphorus, carbon, and nitrogen budgets in comparison to existing predictions of upland erosion and delivery to streams and of downstream sediment loading. The unprecedented scale of these novel findings provides important insights into the balance of erosion and deposition in streams within disturbed landscapes and the importance of geomorphic change to stream water quality and carbon sequestration, and provides vital understanding for targeting management actions to restore watersheds.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ac6e47","usgsCitation":"Noe, G.E., Hopkins, K.G., Claggett, P., Schenk, E., Metes, M.J., Ahmed, L., Doody, T.R., and Hupp, C.R., 2022, Streambank and floodplain geomorphic change and contribution to watershed material budgets: Environmental Research Letters, v. 17, 064015, 14 p., https://doi.org/10.1088/1748-9326/ac6e47.","productDescription":"064015, 14 p.","ipdsId":"IP-122680","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":447738,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac6e47","text":"Publisher Index Page"},{"id":435845,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93OUWYZ","text":"USGS data release","linkHelpText":"Predictions of floodplain and streambank geomorphic change and flux of sediment and nutrients, and streambed characteristics, for stream reaches in the Chesapeake Bay and Delaware River watersheds"},{"id":401036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.1904296875,\n              38.41916639395372\n            ],\n            [\n              -75.223388671875,\n       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khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":843597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Claggett, Peter 0000-0002-5335-2857","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":238920,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":843600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schenk, Edward R.","contributorId":202017,"corporation":false,"usgs":false,"family":"Schenk","given":"Edward R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":843602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Metes, Marina J. 0000-0002-6797-9837","orcid":"https://orcid.org/0000-0002-6797-9837","contributorId":204835,"corporation":false,"usgs":true,"family":"Metes","given":"Marina","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843598,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ahmed, Labeeb","contributorId":224412,"corporation":false,"usgs":false,"family":"Ahmed","given":"Labeeb","affiliations":[{"id":40879,"text":"Attain LLC","active":true,"usgs":false}],"preferred":false,"id":843599,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Doody, Thomas Rossiter 0000-0002-2102-738X tdoody@contractor.usgs.gov","orcid":"https://orcid.org/0000-0002-2102-738X","contributorId":223569,"corporation":false,"usgs":true,"family":"Doody","given":"Thomas","email":"tdoody@contractor.usgs.gov","middleInitial":"Rossiter","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":843601,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":843603,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70232125,"text":"70232125 - 2022 - Ecological divergence of wild birds drives avian influenza spillover and global spread","interactions":[],"lastModifiedDate":"2022-06-07T11:50:12.052979","indexId":"70232125","displayToPublicDate":"2022-05-19T06:47:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2981,"text":"PLoS Pathogens","active":true,"publicationSubtype":{"id":10}},"title":"Ecological divergence of wild birds drives avian influenza spillover and global spread","docAbstract":"<div class=\"abstract toc-section abstract-type-\"><div class=\"abstract-content\"><p>The diversity of influenza A viruses (IAV) is primarily hosted by two highly divergent avian orders: Anseriformes (ducks, swans and geese) and Charadriiformes (gulls, terns and shorebirds). Studies of IAV have historically focused on Anseriformes, specifically dabbling ducks, overlooking the diversity of hosts in nature, including gull and goose species that have successfully adapted to human habitats. This study sought to address this imbalance by characterizing spillover dynamics and global transmission patterns of IAV over 10 years at greater taxonomic resolution than previously considered. Furthermore, the circulation of viral subtypes in birds that are either host-adapted (low pathogenic H13, H16) or host-generalist (highly pathogenic avian influenza—HPAI H5) provided a unique opportunity to test and extend models of viral evolution. Using Bayesian phylodynamic modelling we uncovered a complex transmission network that relied on ecologically divergent bird hosts. The generalist subtype, HPAI H5 was driven largely by wild geese and swans that acted as a source for wild ducks, gulls, land birds, and domestic geese. Gulls were responsible for moving HPAI H5 more rapidly than any other host, a finding that may reflect their long-distance, pelagic movements and their immuno-naïve status against this subtype. Wild ducks, long viewed as primary hosts for spillover, occupied an optimal space for viral transmission, contributing to geographic expansion and rapid dispersal of HPAI H5. Evidence of inter-hemispheric dispersal via both the Pacific and Atlantic Rims was detected, supporting surveillance at high latitudes along continental margins to achieve early detection. Both neutral (geographic expansion) and non-neutral (antigenic selection) evolutionary processes were found to shape subtype evolution which manifested as unique geographic hotspots for each subtype at the global scale. This study reveals how a diversity of avian hosts contribute to viral spread and spillover with the potential to improve surveillance in an era of rapid global change.</p></div></div>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.ppat.1010062","usgsCitation":"Hill, N.J., Bishop, M., Trovao, N.S., Ineson, K., Schaefer, A., Puryear, W., Zhou, K., Foss, A., Clark, D., McKenzie, K., Gass, J.D., Borkenhagen, L., Hall, J.S., and Runstadler, J.A., 2022, Ecological divergence of wild birds drives avian influenza spillover and global spread: PLoS Pathogens, v. 18, no. 5, e1010062, 25 p., https://doi.org/10.1371/journal.ppat.1010062.","productDescription":"e1010062, 25 p.","ipdsId":"IP-135752","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":447742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.ppat.1010062","text":"Publisher Index Page"},{"id":401846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Hill, Nichola J.","contributorId":189563,"corporation":false,"usgs":false,"family":"Hill","given":"Nichola","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":844266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bishop, Mary Anne","contributorId":258847,"corporation":false,"usgs":false,"family":"Bishop","given":"Mary Anne","affiliations":[{"id":13600,"text":"Prince William Sound Science Center","active":true,"usgs":false}],"preferred":false,"id":844267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trovao, Nidia S.","contributorId":292310,"corporation":false,"usgs":false,"family":"Trovao","given":"Nidia","email":"","middleInitial":"S.","affiliations":[{"id":62865,"text":"Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, 20892, USA","active":true,"usgs":false}],"preferred":false,"id":844268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ineson, Katherine","contributorId":292311,"corporation":false,"usgs":false,"family":"Ineson","given":"Katherine","affiliations":[{"id":62867,"text":"Department of Natural Resources & the Environment, University of New Hampshire, Durham, NH 03824, USA","active":true,"usgs":false}],"preferred":false,"id":844269,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaefer, Anne","contributorId":292312,"corporation":false,"usgs":false,"family":"Schaefer","given":"Anne","email":"","affiliations":[{"id":62868,"text":"Prince William Sound Science Center, Cordova, AK, 99574, USA","active":true,"usgs":false}],"preferred":false,"id":844270,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Puryear, Wendy B.","contributorId":292313,"corporation":false,"usgs":false,"family":"Puryear","given":"Wendy B.","affiliations":[{"id":62870,"text":"Department of Infectious Disease and Global Health, Tufts University, North Grafton, MA 01536, USA","active":true,"usgs":false}],"preferred":false,"id":844271,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhou, Katherine","contributorId":292314,"corporation":false,"usgs":false,"family":"Zhou","given":"Katherine","email":"","affiliations":[{"id":62871,"text":"College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA","active":true,"usgs":false}],"preferred":false,"id":844272,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Foss, Alexa","contributorId":292315,"corporation":false,"usgs":false,"family":"Foss","given":"Alexa","email":"","affiliations":[{"id":62870,"text":"Department of Infectious Disease and Global Health, Tufts University, North Grafton, MA 01536, USA","active":true,"usgs":false}],"preferred":false,"id":844273,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Clark, Dan","contributorId":175111,"corporation":false,"usgs":false,"family":"Clark","given":"Dan","email":"","affiliations":[],"preferred":false,"id":844274,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McKenzie, Ken","contributorId":292316,"corporation":false,"usgs":false,"family":"McKenzie","given":"Ken","email":"","affiliations":[{"id":62872,"text":"Division of Water Supply Protection, Massachusetts Department of Conservation and Recreation, West Boylston, MA 01583, USA","active":true,"usgs":false}],"preferred":false,"id":844275,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gass, Jonathan D.","contributorId":292317,"corporation":false,"usgs":false,"family":"Gass","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[{"id":62870,"text":"Department of Infectious Disease and Global Health, Tufts University, North Grafton, MA 01536, USA","active":true,"usgs":false}],"preferred":false,"id":844276,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Borkenhagen, Laura","contributorId":292318,"corporation":false,"usgs":false,"family":"Borkenhagen","given":"Laura","email":"","affiliations":[{"id":62870,"text":"Department of Infectious Disease and Global Health, Tufts University, North Grafton, MA 01536, USA","active":true,"usgs":false}],"preferred":false,"id":844277,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":844279,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Runstadler, Jonathan A.","contributorId":24706,"corporation":false,"usgs":false,"family":"Runstadler","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":844280,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70231726,"text":"70231726 - 2022 - Integrating data types to estimate spatial patterns of avian migration across the Western Hemisphere","interactions":[],"lastModifiedDate":"2022-10-17T15:29:45.909866","indexId":"70231726","displayToPublicDate":"2022-05-19T06:43:20","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Integrating data types to estimate spatial patterns of avian migration across the Western Hemisphere","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>For many avian species, spatial migration patterns remain largely undescribed, especially across hemispheric extents. Recent advancements in tracking technologies and high-resolution species distribution models (i.e., eBird Status and Trends products) provide new insights into migratory bird movements and offer a promising opportunity for integrating independent data sources to describe avian migration. Here, we present a three-stage modeling framework for estimating spatial patterns of avian migration. First, we integrate tracking and band re-encounter data to quantify migratory connectivity, defined as the relative proportions of individuals migrating between breeding and nonbreeding regions. Next, we use estimated connectivity proportions along with eBird occurrence probabilities to produce probabilistic least-cost path (LCP) indices. In a final step, we use generalized additive mixed models (GAMMs) both to evaluate the ability of LCP indices to accurately predict (i.e., as a covariate) observed locations derived from tracking and band re-encounter datasets versus pseudo-absence locations during migratory periods, and to create a fully integrated (i.e., eBird occurrence, LCP, and tracking/band re-encounter data) spatial prediction index for mapping species-specific seasonal migrations. To illustrate this approach, we apply this framework to describe seasonal migrations of 12 bird species across the Western Hemisphere during pre- and post-breeding migratory periods (i.e., spring and fall, respectively). We found that including LCP indices with eBird occurrence in GAMMs generally improved the ability to accurately predict observed migratory locations, when compared to models with eBird occurrence alone. Using three performance metrics, the eBird + LCP model demonstrated equivalent or superior fit relative to the eBird-only model for 22 of 24 species-season GAMMs. In particular, the integrated index filled in spatial gaps for species with over-water movements and those that migrated over land where there were few eBird sightings, and thus, low predictive ability of eBird occurrence probabilities (e.g., Amazonian rainforest in South America). This methodology of combining individual-based seasonal movement data with temporally dynamic species distribution models provides a comprehensive approach for integrating multiple data types to describe broad-scale spatial patterns of animal movement. Further development and customization of this approach will continue to advance knowledge about the full annual cycle and conservation of migratory birds.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2679","usgsCitation":"Meehan, T., Saunders, S.P., DeLuca, W., Michel, N.L., Grand, J., Deppe, J., JImenez, M., Knight, E., Seavy, N.E., Smith, M., Taylor, L., Witko, C., Akresh, M., Barber, D.S., Bayne, D., Beasley, J., Belant, J.L., Bierregaard, R.O., Bildstein, K.L., Boves, T.J., Brzorad, J.N., Campbell, S.B., Celis-Murillo, A., Cooke, H., Domenech, R., Goodrich, L.J., Gow, E.A., Haines, A., Hallworth, M.T., Hill, J.M., Holland, A.E., Jennings, S., Kays, R., King, T., MacFarland, K., Mckenzie, S., Marra, P.P., McCabe, R., McFarland, K.P., McGrady, M.J., Melcer, J., Norris, R., Norvell, R., Rhodes Jr., O., Rimmer, C.C., Scarpignato, A.L., Shreading, A., Watson, J., and Wilsey, C., 2022, Integrating data types to estimate spatial patterns of avian migration across the Western Hemisphere: Ecological Applications, v. 32, no. 7, e2679, 17 p., https://doi.org/10.1002/eap.2679.","productDescription":"e2679, 17 p.","ipdsId":"IP-129775","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":447746,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2679","text":"Publisher Index Page"},{"id":401035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-07-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Meehan, Timothy","contributorId":291963,"corporation":false,"usgs":false,"family":"Meehan","given":"Timothy","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saunders, Sarah P.","contributorId":192752,"corporation":false,"usgs":false,"family":"Saunders","given":"Sarah","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":843549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeLuca, William","contributorId":192836,"corporation":false,"usgs":false,"family":"DeLuca","given":"William","affiliations":[],"preferred":false,"id":843550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Michel, Nicole L","contributorId":237015,"corporation":false,"usgs":false,"family":"Michel","given":"Nicole","email":"","middleInitial":"L","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843551,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grand, Joanna","contributorId":291964,"corporation":false,"usgs":false,"family":"Grand","given":"Joanna","email":"","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843552,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Deppe, JIll","contributorId":291965,"corporation":false,"usgs":false,"family":"Deppe","given":"JIll","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843553,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"JImenez, MIguel","contributorId":291966,"corporation":false,"usgs":false,"family":"JImenez","given":"MIguel","email":"","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843554,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Knight, Erika","contributorId":291969,"corporation":false,"usgs":false,"family":"Knight","given":"Erika","email":"","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843555,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Seavy, Nathaniel E.","contributorId":191595,"corporation":false,"usgs":false,"family":"Seavy","given":"Nathaniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":843556,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, Melanie A.","contributorId":261673,"corporation":false,"usgs":false,"family":"Smith","given":"Melanie A.","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843557,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Taylor, Lotem","contributorId":291970,"corporation":false,"usgs":false,"family":"Taylor","given":"Lotem","email":"","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843558,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Witko, Chad","contributorId":291974,"corporation":false,"usgs":false,"family":"Witko","given":"Chad","email":"","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843559,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Akresh, Michael","contributorId":291979,"corporation":false,"usgs":false,"family":"Akresh","given":"Michael","email":"","affiliations":[{"id":62791,"text":"Department of Environmental Studies, Antioch University New England","active":true,"usgs":false}],"preferred":false,"id":843560,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Barber, David S.","contributorId":177195,"corporation":false,"usgs":false,"family":"Barber","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":843561,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bayne, David","contributorId":291982,"corporation":false,"usgs":false,"family":"Bayne","given":"David","email":"","affiliations":[{"id":62792,"text":"Department of Biological Sciences, University of Alberta, Edmonton","active":true,"usgs":false}],"preferred":false,"id":843562,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Beasley, James","contributorId":172814,"corporation":false,"usgs":false,"family":"Beasley","given":"James","affiliations":[{"id":27094,"text":"University of Georgia, Savannah River Ecology Laboratory, Warnell School of Forestry and Natural Resources, PO Drawer E, Aiken, SC 29802","active":true,"usgs":false}],"preferred":false,"id":843563,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Belant, Jerrold L.","contributorId":108394,"corporation":false,"usgs":false,"family":"Belant","given":"Jerrold","email":"","middleInitial":"L.","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":843564,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Bierregaard, Richard O","contributorId":245032,"corporation":false,"usgs":false,"family":"Bierregaard","given":"Richard","email":"","middleInitial":"O","affiliations":[{"id":12436,"text":"University of North Carolina at Charlotte","active":true,"usgs":false}],"preferred":false,"id":843565,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Bildstein, Keith L.","contributorId":150854,"corporation":false,"usgs":false,"family":"Bildstein","given":"Keith","email":"","middleInitial":"L.","affiliations":[{"id":18119,"text":"Hawk Mountain Sanctuary, Acopian Center for Conservation Learning","active":true,"usgs":false}],"preferred":false,"id":843566,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Boves, Than J.","contributorId":169750,"corporation":false,"usgs":false,"family":"Boves","given":"Than","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":843567,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Brzorad, John N.","contributorId":245085,"corporation":false,"usgs":false,"family":"Brzorad","given":"John","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":843568,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Campbell, Steven B.","contributorId":219259,"corporation":false,"usgs":false,"family":"Campbell","given":"Steven","email":"","middleInitial":"B.","affiliations":[{"id":39979,"text":"USDA Natural Resources Conservation Service, Portland, OR","active":true,"usgs":false}],"preferred":false,"id":843569,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Celis-Murillo, Antonio 0000-0002-3371-6529","orcid":"https://orcid.org/0000-0002-3371-6529","contributorId":237851,"corporation":false,"usgs":true,"family":"Celis-Murillo","given":"Antonio","email":"","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":843570,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Cooke, Hillary","contributorId":291986,"corporation":false,"usgs":false,"family":"Cooke","given":"Hillary","email":"","affiliations":[{"id":36893,"text":"Wildlife Conservation Society Canada","active":true,"usgs":false}],"preferred":false,"id":843571,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Domenech, Robert","contributorId":199743,"corporation":false,"usgs":false,"family":"Domenech","given":"Robert","email":"","affiliations":[{"id":35594,"text":"Raptor View Research Institute","active":true,"usgs":false}],"preferred":false,"id":843572,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Goodrich, Laurie J. 0000-0001-8558-6538","orcid":"https://orcid.org/0000-0001-8558-6538","contributorId":257071,"corporation":false,"usgs":false,"family":"Goodrich","given":"Laurie","email":"","middleInitial":"J.","affiliations":[{"id":51980,"text":"Hawk Mountain Sanctuary","active":true,"usgs":false}],"preferred":false,"id":843573,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Gow, Elizabeth A.","contributorId":261670,"corporation":false,"usgs":false,"family":"Gow","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":843574,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Haines, Aaron","contributorId":291987,"corporation":false,"usgs":false,"family":"Haines","given":"Aaron","affiliations":[{"id":62795,"text":"Millersville University, Biology Department","active":true,"usgs":false}],"preferred":false,"id":843575,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Hallworth, Michael T.","contributorId":213805,"corporation":false,"usgs":false,"family":"Hallworth","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":38879,"text":"National Zoological Park, Migratory Bird Center","active":true,"usgs":false}],"preferred":false,"id":843576,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Hill, Jason M.","contributorId":191616,"corporation":false,"usgs":false,"family":"Hill","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":843577,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Holland, Amanda E.","contributorId":139205,"corporation":false,"usgs":false,"family":"Holland","given":"Amanda","email":"","middleInitial":"E.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":843578,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Jennings, Scott","contributorId":275175,"corporation":false,"usgs":false,"family":"Jennings","given":"Scott","affiliations":[{"id":56739,"text":"cypres grove","active":true,"usgs":false}],"preferred":false,"id":843579,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Kays, Roland","contributorId":243449,"corporation":false,"usgs":false,"family":"Kays","given":"Roland","affiliations":[],"preferred":false,"id":843580,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"King, Tommy","contributorId":291988,"corporation":false,"usgs":false,"family":"King","given":"Tommy","email":"","affiliations":[{"id":62796,"text":"U.S. Department of Agriculture, Wildlife Services, National Wildlife Research Center, Mississippi Field Station","active":true,"usgs":false}],"preferred":false,"id":843581,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"MacFarland, Kent","contributorId":291989,"corporation":false,"usgs":false,"family":"MacFarland","given":"Kent","email":"","affiliations":[{"id":62797,"text":"Cary Institute of Ecosystem Studies and Vermont Center for Ecostudies","active":true,"usgs":false}],"preferred":false,"id":843582,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Mckenzie, Stewart","contributorId":291990,"corporation":false,"usgs":false,"family":"Mckenzie","given":"Stewart","email":"","affiliations":[{"id":62798,"text":"BIrds Canada","active":true,"usgs":false}],"preferred":false,"id":843583,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Marra, Peter P.","contributorId":190140,"corporation":false,"usgs":false,"family":"Marra","given":"Peter","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":843584,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"McCabe, Rebbeca","contributorId":291991,"corporation":false,"usgs":false,"family":"McCabe","given":"Rebbeca","email":"","affiliations":[{"id":62799,"text":"Acopian Center for Conservation Learning, Hawk Mountain Sanctuary Association","active":true,"usgs":false}],"preferred":false,"id":843585,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"McFarland, Kent P.","contributorId":213789,"corporation":false,"usgs":false,"family":"McFarland","given":"Kent","email":"","middleInitial":"P.","affiliations":[{"id":38867,"text":"Vermont Center for Ecostudies","active":true,"usgs":false}],"preferred":false,"id":843627,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"McGrady, Michael J.","contributorId":189117,"corporation":false,"usgs":false,"family":"McGrady","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":843586,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Melcer, John","contributorId":291992,"corporation":false,"usgs":false,"family":"Melcer","given":"John","email":"","affiliations":[{"id":62800,"text":"California State Parks and Geography Graduate Group, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":843587,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Norris, Ryan","contributorId":171614,"corporation":false,"usgs":false,"family":"Norris","given":"Ryan","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":843588,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Norvell, Russell","contributorId":291993,"corporation":false,"usgs":false,"family":"Norvell","given":"Russell","email":"","affiliations":[{"id":49122,"text":"Utah Division of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":843589,"contributorType":{"id":1,"text":"Authors"},"rank":43},{"text":"Rhodes Jr., Olin","contributorId":291994,"corporation":false,"usgs":false,"family":"Rhodes Jr.","given":"Olin","affiliations":[{"id":37542,"text":"Savannah River Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":843590,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Rimmer, Christopher C.","contributorId":213817,"corporation":false,"usgs":false,"family":"Rimmer","given":"Christopher","email":"","middleInitial":"C.","affiliations":[{"id":38867,"text":"Vermont Center for Ecostudies","active":true,"usgs":false}],"preferred":false,"id":843591,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Scarpignato, Amy L.","contributorId":190139,"corporation":false,"usgs":false,"family":"Scarpignato","given":"Amy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":843592,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Shreading, Adam","contributorId":199745,"corporation":false,"usgs":false,"family":"Shreading","given":"Adam","email":"","affiliations":[{"id":35594,"text":"Raptor View Research Institute","active":true,"usgs":false}],"preferred":false,"id":843593,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Watson, Jesse","contributorId":243506,"corporation":false,"usgs":false,"family":"Watson","given":"Jesse","email":"","affiliations":[],"preferred":false,"id":843594,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Wilsey, Chad 0000-0002-1448-1445","orcid":"https://orcid.org/0000-0002-1448-1445","contributorId":229630,"corporation":false,"usgs":false,"family":"Wilsey","given":"Chad","email":"","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":843595,"contributorType":{"id":1,"text":"Authors"},"rank":49}]}}
,{"id":70255081,"text":"70255081 - 2022 - Whooping and sandhill cranes visit upland ponds proportional to migration phenology on the Texas coast","interactions":[],"lastModifiedDate":"2024-06-12T23:24:24.932813","indexId":"70255081","displayToPublicDate":"2022-05-18T18:21:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Whooping and sandhill cranes visit upland ponds proportional to migration phenology on the Texas coast","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Two crane species, whooping cranes (<i>Grus americana</i>) and sandhill cranes (<i>Antigone canadensis</i>), overwinter along the Texas Gulf Coast. Periodic, extreme drought conditions have prompted concerns that potential freshwater limitations could hinder conservation of cranes, especially endangered whooping cranes. In response, land managers constructed and maintained freshwater ponds in upland areas near saltmarshes on the wintering grounds. We monitored 30 of those constructed ponds using camera traps (1 Oct 2013–31 May 2014) to quantify crane visits. For each species, we modeled pond visits as a function of migration phenology and environmental variables at 2 scales. Pond-scale variables included distance to saltmarsh and monthly salinity, and broad-scale variables included bay salinity, drought index, and tide level. We found pond visits by both crane species followed migration phenology with the greatest pond use in January–February. Both crane species visited ponds more on the mainland than on Matagorda Island. Sandhill crane visits were fewer at ponds with higher salinities and those filled by well water. Cranes visited ponds during the diurnal period and tended to avoid visiting ponds during the first 10% of the day. Pond visits by whooping cranes were ≤0.15 times/pond/day and by sandhill cranes were ≤0.28 times/pond/day. Our results suggested crane visits to constructed ponds may not be as frequent as once assumed nor driven by tidal and salinity conditions in the bay. The greater number of crane visits to constructed ponds on the mainland compared to Matagorda Island may be related to shrub encroachment around natural freshwater swale wetlands on the mainland, which is not as prevalent of a problem on the island. With proper management, swales on the mainland may provide alternatives to constructed ponds for cranes to obtain freshwater and forage.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.1290","usgsCitation":"Butler, M.J., Metzger, K.L., Sanspree, C.R., Cain, J.W., and Harris, G.M., 2022, Whooping and sandhill cranes visit upland ponds proportional to migration phenology on the Texas coast: Wildlife Society Bulletin, v. 46, no. 3, e1290, 15 p., https://doi.org/10.1002/wsb.1290.","productDescription":"e1290, 15 p.","ipdsId":"IP-127633","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","volume":"46","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Butler, Matthew J","contributorId":239688,"corporation":false,"usgs":false,"family":"Butler","given":"Matthew","email":"","middleInitial":"J","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":903332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Metzger, Kristine L.","contributorId":147144,"corporation":false,"usgs":false,"family":"Metzger","given":"Kristine","email":"","middleInitial":"L.","affiliations":[{"id":16794,"text":"USFWS, Div of Biol Serv, Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":903333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanspree, Colt R.","contributorId":274816,"corporation":false,"usgs":false,"family":"Sanspree","given":"Colt","email":"","middleInitial":"R.","affiliations":[{"id":56661,"text":"U.S. Fish and Wildlife Service, Austwell, TX USA","active":true,"usgs":false}],"preferred":false,"id":903334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harris, Grant M","contributorId":290710,"corporation":false,"usgs":false,"family":"Harris","given":"Grant","email":"","middleInitial":"M","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903335,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231652,"text":"ofr20221045 - 2022 - Yuma Ridgway’s rail selenium exposure and occupancy within managed and unmanaged emergent marshes at the Salton Sea","interactions":[],"lastModifiedDate":"2026-03-27T20:17:10.887094","indexId":"ofr20221045","displayToPublicDate":"2022-05-18T12:28:11","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1045","displayTitle":"Yuma Ridgway’s Rail Selenium Exposure and Occupancy Within Managed and Unmanaged Emergent Marshes at the Salton Sea","title":"Yuma Ridgway’s rail selenium exposure and occupancy within managed and unmanaged emergent marshes at the Salton Sea","docAbstract":"<p>Yuma Ridgway’s rail (<i>Rallus obsoletus yumanensis</i>, hereafter, rail) is an endangered species for which patches of emergent marsh within the Salton Sea watershed comprise a substantial part of habitat for the species’ disjointed range in the southwestern United States. These areas of emergent marsh include (1) marshes managed by federal (particularly the U.S. Fish and Wildlife Service’s Sonny Bono Salton Sea National Wildlife Refuge), state (California Department of Fish and Wildlife), and local (Imperial Irrigation District) resource agencies that are sustained by direct deliveries of Colorado River water and (2) unmanaged marshes sustained by agricultural drainage water. Management of rail habitat in this arid environment is complicated by increasingly limited availability of unimpaired freshwater owing to water management decisions associated with the Quantification Settlement Agreement and risks posed by potentially harmful concentrations of selenium found in agricultural drainage water that can readily bioaccumulate in aquatic food webs.</p><p>To provide timely science for managers, herein we report summary statistics for managed and unmanaged emergent marshes sampled at the Salton Sea during the rail breeding season of 2016 pertaining to (1) selenium concentrations in food webs representing dietary pathways of selenium exposure and (2) patterns of rail occupancy and inter-marsh movements, estimated abundance, and regional population size of rail. For selenium-specific objectives, we sampled unfiltered surface water, midge larvae (Chironomidae), water boatmen (Corixidae), mosquitofish (<i>Gambusia</i> spp.), and crayfish (Astacidae). Selenium samples were collected from 15 fixed sampling points, each in managed and unmanaged marshes, during late February, April, and June 2016, which corresponded to rail pre-nesting, nesting, and fledgling reproductive life-stages, respectively. Two areas within the two treatment types (managed versus unmanaged marsh) were of particular interest to help assess risks associated with changing sea dynamics and different water-management strategies: (1) a large unmanaged marsh (Morton Bay) unintentionally created in approximately 2008 when it became separated from the Salton Sea as water inflows began to drop and a berm formed from accumulated sediment and (2) a restored marsh (HZ9A) managed by the Sonny Bono Salton Sea National Wildlife Refuge, which is currently supplied with Colorado River water but may be sustained in the future by a blend of clean (that is, low selenium) Colorado River and agricultural drainage water with higher selenium from the Alamo River. Hence, baseline data for these marshes are important for future management decisions. We also report selenium concentrations in rail blood, head feathers, and breast feathers from rails captured as part of the movement study. Results indicated relatively higher risks from dietary selenium exposure for rails occupying unmanaged marshes compared to managed marshes and similar risks among unmanaged marshes. However, risks also were potentially elevated for rails occupying some managed marshes (that is, the Hazard Marshes), where relatively high proportions of Chironomidae and mosquitofish exceeded dietary thresholds for selenium effects on avian reproduction.</p><p>For rail-specific objectives, we quantified occupancy and spatial distribution using call count data analyzed with imperfect detection models. Imperfect detection models allowed us to jointly estimate detection probability and abundance of detected rails in association with habitats. We then used estimates of detection probability and abundance at the habitat level to extrapolate rail population abundance for the Salton Sea region. Inter- and intra-marsh movements were described from over 5,000 locations obtained from 15 radio-marked rails. Resultant space use patterns indicated that, in general, selenium risk to individuals is not equally shared because of high levels of territoriality and very limited movement throughout the landscape. Moreover, the largest contiguous blocks of habitat are associated with unmanaged marshlands located on the former southeastern shoreline and outside traditional management areas and authorities. Thus, a substantial proportion of the rail population that is using unmanaged marsh on the southeastern shoreline may have disproportionate risk of elevated selenium exposure, yet how that risk translates to population-level effects remains unknown.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221045","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Ricca, M.A., Overton, C.T., Anderson, T.W., Merritt, A., Harrity, E., Matchett, E., and Casazza, M.L., 2022, Yuma Ridgway’s rail selenium exposure and occupancy within managed and unmanaged emergent marshes at the Salton Sea: U.S. Geological Survey Open-File Report 2022–1045, 49 p., https://doi.org/10.3133/ofr20221045.","productDescription":"Report: x, 49 p.; 2 Data Releases","numberOfPages":"49","onlineOnly":"Y","ipdsId":"IP-115651","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":400780,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1045/ofr20221045.xml"},{"id":501775,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113059.htm","linkFileType":{"id":5,"text":"html"}},{"id":400770,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R39F33","text":"Selenium concentrations in Yuma Ridgway's Rails occupying managed and unmanaged emergent marshes at the Salton Sea","description":"Ricca, M.A, Overton, C.T., Anderson, T.W., Merritt, A., Harrity, E. Matchett, E., and Casazza, M.L., 2022, Selenium concentrations in Yuma Ridgway’s Rails occupying managed and unmanaged emergent marshes at the Salton Sea: U.S. Geological Survey data release, https://doi.org/10.5066/P9R39F33."},{"id":400769,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JRP0L6","text":"Yuma Ridgway’s Rail (<i>Rallus obsoletus yumanensis</i>) Population Surveys, Rail Movement, and Potential Habitat at the Salton Sea of California","description":"Overton, C.T., Ricca, M.A., Anderson, T.W., Merritt, A.M., Harrity, E., Matchett, E.L., Casazza, M.L., 2022, Yuma Ridgway’s rail (Rallus obsoletus yumanensis) population surveys, rail movement, and potential habitat at the Salton Sea of California: U.S. Geological Survey data release, https://doi.org/10.5066/P9JRP0L6."},{"id":400768,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1045/images"},{"id":400767,"rank":3,"type":{"id":39,"text":"HTML 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Cited&nbsp;</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2022-05-18","noUsgsAuthors":false,"publicationDate":"2022-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":843240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":843241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Thomas W.","contributorId":44049,"corporation":false,"usgs":true,"family":"Anderson","given":"Thomas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":843242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merritt, Angela amerritt@usgs.gov","contributorId":5894,"corporation":false,"usgs":true,"family":"Merritt","given":"Angela","email":"amerritt@usgs.gov","affiliations":[],"preferred":true,"id":843243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harrity, Eamon","contributorId":279973,"corporation":false,"usgs":false,"family":"Harrity","given":"Eamon","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":843244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":843245,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":843246,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70231650,"text":"fs20223032 - 2022 - Oklahoma and Landsat","interactions":[],"lastModifiedDate":"2022-09-27T12:12:05.638573","indexId":"fs20223032","displayToPublicDate":"2022-05-18T10:48:40","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3032","displayTitle":"Oklahoma and Landsat","title":"Oklahoma and Landsat","docAbstract":"<p>Oklahoma benefits from a varied landscape abundant in resources. Mountains, grasslands, reservoirs, rivers, fields, and forests offer employment and enjoyment in a State that epitomizes the transition from north to south and east to west. Wheat grows in northern Oklahoma; cotton grows in the south. Wetter deciduous forest lands in the southeast contrast with drier mesas in the northwest. Among the many lakes and reservoirs, the Great Salt Plains Lake on the Arkansas River has thousands of acres of salt flats with unique hourglass-shaped selenite crystals.</p><p>Grassland and grazing permeate the Sooner State, which is the second largest cattle producer in the country. Oil, natural gas, and coal have long played a key role in Oklahoma’s economy and energy industry, whereas wind farms in western Oklahoma are a more recent addition.</p><p>The Landsat series of Earth observation satellites has allowed analysts to search for oil in Oklahoma from hundreds of miles above the Earth. The satellite program also helps Oklahoma’s agriculture industry keep an eye on the condition of crops and grazing land.</p><p>Here are just a few ways Landsat has benefited Oklahoma.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223032","usgsCitation":"U.S. Geological Survey, 2022, Oklahoma and Landsat: U.S. Geological Survey Fact Sheet 2022–3032, 2 p., https://doi.org/10.3133/fs20223032.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-139807","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":400758,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223032/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":400753,"rank":3,"type":{"id":31,"text":"Publication 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 \"}}]}","contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\">National Land Imaging Program</a> <br>U.S. Geological Survey <br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Viewing Fields</li><li>Characterizing Wildfires</li><li>Examining Tornado Damage</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-05-18","noUsgsAuthors":false,"publicationDate":"2022-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":127955,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":843232,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70256674,"text":"70256674 - 2022 - Changes in waterfowl migration phenologies in central North America: Implications for future waterfowl conservation","interactions":[],"lastModifiedDate":"2024-08-30T14:39:03.113118","indexId":"70256674","displayToPublicDate":"2022-05-18T09:32:42","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Changes in waterfowl migration phenologies in central North America: Implications for future waterfowl conservation","docAbstract":"<p><span>Globally, migration phenologies of numerous avian species have shifted over the past half-century. Despite North American waterfowl being well researched, published data on shifts in waterfowl migration phenologies remain scarce. Understanding shifts in waterfowl migration phenologies along with potential drivers is critical for guiding future conservation efforts. Therefore, we utilized historical (1955–2008) nonbreeding waterfowl survey data collected at 21 National Wildlife Refuges in the mid- to lower portion of the Central Flyway to summarize changes in spring and autumn migration phenology. We examined changes in the timing of peak abundance from survey data at monthly intervals for each refuge and species (or species group;&nbsp;</span><i>n</i><span>&nbsp;= 22) by year and site-specific temperature for spring (Jan–Mar) and autumn (Oct–Dec) migration periods. For spring (</span><i>n</i><span>&nbsp;= 187) and autumn (</span><i>n</i><span>&nbsp;= 194) data sets, 13% and 9% exhibited statistically significant changes in the timing of peak migration across years, respectively, while the corresponding numbers for increasing temperatures were 4% and 9%. During spring migration, ≥80% of significant changes in the timing of spring peak indicated advancements, while 67% of significant changes in autumn peak timing indicated delays both across years and with increasing temperatures. Four refuges showed a consistent pattern across species of advancing spring migration peaks over time. Advancements in spring peak across years became proportionally less common among species with increasing latitude, while delays in autumn peak with increasing temperature became proportionally more common. Our study represents the first comprehensive summary of changes in spring and autumn migration phenology for Central Flyway waterfowl and demonstrates significant phenological changes during the latter part of the twentieth century.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0266785","usgsCitation":"Andersson, K., Craig A. Davis, Grant Harris, and Haukos, D.A., 2022, Changes in waterfowl migration phenologies in central North America: Implications for future waterfowl conservation: PLoS ONE, v. 17, no. 5, e0266785, 19 p., https://doi.org/10.1371/journal.pone.0266785.","productDescription":"e0266785, 19 p.","ipdsId":"IP-135751","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":447749,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0266785","text":"Publisher Index Page"},{"id":433367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas, Nebraska, New Mexico, Oklahoma, 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,{"id":70231643,"text":"fs20223008 - 2022 - Geospatial analysis delineates lode gold prospectivity in Alaska","interactions":[],"lastModifiedDate":"2026-03-24T21:10:26.673974","indexId":"fs20223008","displayToPublicDate":"2022-05-18T09:20:26","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3008","displayTitle":"Geospatial Analyses Delineate Lode Gold Prospectivity in Alaska","title":"Geospatial analysis delineates lode gold prospectivity in Alaska","docAbstract":"<p>Comprehensive, data-driven geographic information system analyses utilize publicly available lithologic, geochemical, geophysical, and mineral occurrence datasets to delineate gold resource potential in Alaska. These prospectivity analyses successfully identify areas containing known lode gold occurrences, expand areas of high prospectivity around known occurrences, improve the precision of delineation of areas of high prospectivity for lode gold deposit types, and determine new areas that may have potential for gold deposits. These analyses indicate prospectivity in areas where exposure is good and in areas where exposure is poor, which provide useful guidance for land-use decisions and exploration strategies.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223008","collaboration":"Prepared in cooperation with the Alaska Division of Geological & Geophysical Surveys and the Bureau of Land Management","usgsCitation":"Karl, S.M., Kreiner, D.C., Case, G.N.D., and Labay, K., 2022, Geospatial analysis delineates lode gold prospectivity in Alaska: U.S. Geological Survey Fact Sheet 2022–3008, 4 p., https://doi.org/10.3133/fs20223008.","productDescription":"Report: 4 p.; Data Release","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-130560","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":400745,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CAM3F9","text":"Data and 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href=\"https://www.usgs.gov/centers/asc/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/connect\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, Alaska 99508</p>","tableOfContents":"<ul><li>GIS-Based Method of Analysis&nbsp;</li><li>Results of Prospectivity Analyses for Conventional Lode Gold Deposit Types in Alaska&nbsp;&nbsp;</li><li>Prospectivity Models for Lode Gold-Forming Systems in Alaska&nbsp;</li><li>Comparison of Gold Ore-Forming Systems&nbsp;</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-05-18","noUsgsAuthors":false,"publicationDate":"2022-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":843209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":843210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Case, George N.D. 0000-0001-9826-5661 gcase@usgs.gov","orcid":"https://orcid.org/0000-0001-9826-5661","contributorId":224941,"corporation":false,"usgs":true,"family":"Case","given":"George","email":"gcase@usgs.gov","middleInitial":"N.D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":843211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":217714,"corporation":false,"usgs":true,"family":"Labay","given":"Keith","email":"klabay@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":843212,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70231775,"text":"70231775 - 2022 - Accelerated sea-level rise is suppressing CO2 stimulation of tidal marsh productivity: A 33-year study","interactions":[],"lastModifiedDate":"2022-05-27T14:20:46.931686","indexId":"70231775","displayToPublicDate":"2022-05-18T08:50:02","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Accelerated sea-level rise is suppressing CO<sub>2</sub> stimulation of tidal marsh productivity: A 33-year study","title":"Accelerated sea-level rise is suppressing CO2 stimulation of tidal marsh productivity: A 33-year study","docAbstract":"<p><span>Accelerating relative sea-level rise (RSLR) is threatening coastal wetlands. However, rising CO</span><sub>2</sub><span>&nbsp;concentrations may also stimulate carbon sequestration and vertical accretion, counterbalancing RSLR. A coastal wetland dominated by a C</span><sub>3</sub><span>&nbsp;plant species was exposed to ambient and elevated levels of CO</span><sub>2</sub><span>&nbsp;in situ from 1987 to 2019 during which time ambient CO</span><sub>2</sub><span>&nbsp;concentration increased 18% and sea level rose 23 cm. Plant production did not increase in response to gradually rising ambient CO</span><sub>2</sub><span>&nbsp;concentration during this period. Elevated CO</span><sub>2</sub><span>&nbsp;increased shoot production relative to ambient CO</span><sub>2</sub><span>&nbsp;for the first two decades, but from 2005 to 2019, elevated CO</span><sub>2</sub><span>&nbsp;stimulation of production was diminished. The decline coincided with increases in relative sea level above a threshold that hindered root productivity. While elevated CO</span><sub>2</sub><span>&nbsp;stimulation of elevation gain has the potential to moderate the negative impacts of RSLR on tidal wetland productivity, benefits for coastal wetland resilience will diminish in the long term as rates of RSLR accelerate.</span></p>","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.abn0054","usgsCitation":"Zhu, C., Langley, J.A., Ziska, L.H., Cahoon, D., and Megonigal, J.P., 2022, Accelerated sea-level rise is suppressing CO2 stimulation of tidal marsh productivity: A 33-year study: Science Advances, v. 8, no. 20, eabn0054, 7 p., https://doi.org/10.1126/sciadv.abn0054.","productDescription":"eabn0054, 7 p.","ipdsId":"IP-134602","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":447751,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1126/sciadv.abn0054","text":"External Repository"},{"id":401299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"20","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhu, Chunwu","contributorId":292081,"corporation":false,"usgs":false,"family":"Zhu","given":"Chunwu","email":"","affiliations":[{"id":62828,"text":"Institute of Soil Science, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":843796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langley, J. Adam","contributorId":292082,"corporation":false,"usgs":false,"family":"Langley","given":"J.","email":"","middleInitial":"Adam","affiliations":[{"id":12766,"text":"Villanova University","active":true,"usgs":false}],"preferred":false,"id":843797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziska, Lewis H.","contributorId":292083,"corporation":false,"usgs":false,"family":"Ziska","given":"Lewis","email":"","middleInitial":"H.","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":843798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":219657,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":843799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Megonigal, J. Patrick","contributorId":288317,"corporation":false,"usgs":false,"family":"Megonigal","given":"J.","email":"","middleInitial":"Patrick","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":843800,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231764,"text":"70231764 - 2022 - Variation of cisco egg size among Laurentian Great Lakes populations","interactions":[],"lastModifiedDate":"2022-05-27T12:17:35.856938","indexId":"70231764","displayToPublicDate":"2022-05-18T07:15:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Variation of cisco egg size among Laurentian Great Lakes populations","docAbstract":"<p>Many fish species display inter-population and inter-individual egg size variation. Intra-specific differences in egg size seemingly reflect both energetic experiences of individual spawning fish and long-term population responses to differing ecosystems. Optimal egg size theory implies that selection influences a population’s mean egg size in response to its early-life environment, given the well-established trade-off between egg size and fecundity. Currently, there is strong interest in rehabilitation of Laurentian Great Lakes cisco, Coregonus artedi, which is characterized by inter-population variation of morphological and behavioral traits. However, the extent of cisco egg size variation is under-described. In fall 2018 and 2019, we collected egg samples by stripping ripe females at seven total locations in four Great Lakes. We measured unfertilized egg diameters using imaging software and compared mean egg diameters among locations with and without including maternal total length as a covariate. Lake Michigan females produced the largest eggs overall but were excluded from analyses using the total length covariate because of their significantly larger body sizes. Maternal length had a positive effect on egg size, and when accounting for this effect, females in Lake Huron produced the largest eggs followed by Lake Ontario and Lake Superior. We also found that egg size varied among locations within Lake Superior. These findings aligned with observations of morphological and behavioral differences among populations and suggest that cisco phenotypic variation at a fine spatial scale extends to reproductive biology. Consideration of cisco reproductive traits, such as egg size, may inform restoration strategies, including supplemental stocking.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2022.03.006","usgsCitation":"Koenigbauer, S.T., Yule, D.L., Dey, K., Olds, C., Connerton, M., and Hook, T.O., 2022, Variation of cisco egg size among Laurentian Great Lakes populations: Journal of Great Lakes Research, v. 48, no. 3, p. 790-797, https://doi.org/10.1016/j.jglr.2022.03.006.","productDescription":"8 p.","startPage":"790","endPage":"797","ipdsId":"IP-122186","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":401290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": 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T","contributorId":292057,"corporation":false,"usgs":false,"family":"Koenigbauer","given":"Scott","email":"","middleInitial":"T","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":843738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yule, Daniel L. 0000-0002-0117-5115","orcid":"https://orcid.org/0000-0002-0117-5115","contributorId":248693,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":843739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dey, Kristopher","contributorId":275305,"corporation":false,"usgs":false,"family":"Dey","given":"Kristopher","email":"","affiliations":[{"id":33110,"text":"Little Traverse Bay Bands of Odawa Indians","active":true,"usgs":false}],"preferred":false,"id":843740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olds, Chris","contributorId":218041,"corporation":false,"usgs":false,"family":"Olds","given":"Chris","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":843741,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connerton, Michael J.","contributorId":25495,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael J.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":843742,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hook, Tomas O","contributorId":292058,"corporation":false,"usgs":false,"family":"Hook","given":"Tomas","email":"","middleInitial":"O","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":843743,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70231595,"text":"ofr20221024 - 2022 - Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2020","interactions":[],"lastModifiedDate":"2026-03-27T20:03:48.787042","indexId":"ofr20221024","displayToPublicDate":"2022-05-17T14:31:30","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1024","displayTitle":"Continuous Stream Discharge, Salinity, and Associated Data Collected in the Lower St. Johns River and Its Tributaries, Florida, 2020","title":"Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2020","docAbstract":"<p>The U.S. Army Corps of Engineers, Jacksonville District, is deepening the St. Johns River channel in Jacksonville, Florida, from 40 to 47 feet along 13 miles of the river channel beginning at the mouth of the river at the Atlantic Ocean, in order to accommodate larger, fully loaded cargo vessels. The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, monitored stage, discharge, and (or) water temperature and salinity at 26 continuous data collection stations in the St. Johns River and its tributaries.</p><p>This is the fifth annual report by the U.S. Geological Survey on data collection for the Jacksonville Harbor deepening project. The report contains information pertinent to data collection during the 2020 water year, from October 2019 to September 2020. The addition of water-quality data collection at St. Johns River at Buffalo Bluff near Satsuma was the only modification to the previously installed network.</p><p>Discharge and salinity varied widely during the data collection period, which included above-average rainfall for 3 of the 5 counties in the study area. Total annual rainfall for all counties ranked third among the annual totals computed for the 5 years considered for this study. Annual mean discharge at Clapboard Creek was highest among the tributaries, followed by Ortega River, Durbin Creek, Pottsburg Creek at U.S. 90, Cedar River, Trout River, Julington Creek, Pottsburg Creek near South Jacksonville, Dunn Creek, and Broward River, whose annual mean was lowest. Annual mean discharge at 8 of the 10 tributary monitoring sites was higher for the 2020 water year than for the 2019 water year, and the computed annual mean flow at Clapboard Creek was the highest over the 5 years considered for this study. The annual mean discharge for each of the main-stem sites was higher for the 2020 water year than for the 2019 water year except for Buffalo Bluff, which remained the same.</p><p>Among the tributary sites, annual mean salinity was highest at Clapboard Creek, the site closest to the Atlantic Ocean, and was lowest at Durbin Creek, the site farthest from the ocean. Annual mean salinity data from the main-stem sites on the St. Johns River indicate that salinity decreased with distance upstream from the ocean, which was expected. Relative to annual mean salinity calculated for the 2019 water year, annual mean salinity at all monitoring locations was higher for the 2020 water year except at the tributary sites of Trout River, Dunn Creek, and Clapboard Creek, which were lower, and Durbin Creek, which remained the same. The 2020 annual mean salinity on the main-stem of the St. Johns River was the highest since the beginning of the study in 2016 at Dancy Point, Racy Point, Shands Bridge, below Shands Bridge, above Buckman Bridge, and Jacksonville (Acosta Bridge). Among the tributary sites, annual mean salinity rankings for 2020 were highest for Julington Creek and Ortega River, which were the second-highest on record for those sites.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221024","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Ryan, P.J., 2022, Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2020: U.S. Geological Survey Open-File Report 2022–1024, 48 p., https://doi.org/10.3133/ofr20221024.","productDescription":"Report: ix, 48 p.; Dataset","numberOfPages":"62","onlineOnly":"Y","ipdsId":"IP-133884","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":400657,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1024/coverthb.jpg"},{"id":400658,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1024/ofr20221024.pdf","text":"Report","size":"3.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1024"},{"id":400659,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1024/ofr20221024.XML"},{"id":400660,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1024/images"},{"id":400661,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":401171,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/ofr20221024/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":501767,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113057.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"St. Johns River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.27935791015625,\n              29.14736383122664\n            ],\n            [\n              -80.38970947265625,\n              29.14736383122664\n            ],\n            [\n              -80.38970947265625,\n              30.56226095049944\n            ],\n            [\n              -82.27935791015625,\n              30.56226095049944\n            ],\n            [\n              -82.27935791015625,\n              29.14736383122664\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/car-fl-water\" data-mce-href=\"https://www.usgs.gov/centers/car-fl-water\">Caribbean-Florida Water Science Center</a> <br>U.S. Geological Survey <br>4446 Pet Lane, Suite 108 <br>Lutz, FL 33559</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2022-05-17","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Patrick J. 0000-0002-1490-4938 pryan@usgs.gov","orcid":"https://orcid.org/0000-0002-1490-4938","contributorId":203974,"corporation":false,"usgs":true,"family":"Ryan","given":"Patrick","email":"pryan@usgs.gov","middleInitial":"J.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":843091,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70231507,"text":"sir20225027 - 2022 - Water quality in the Missouri River alluvial aquifer near the Independence, Missouri, well field, 1997–2018","interactions":[],"lastModifiedDate":"2026-04-09T17:05:32.40873","indexId":"sir20225027","displayToPublicDate":"2022-05-17T14:15:50","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5027","displayTitle":"Water Quality in the Missouri River Alluvial Aquifer near the Independence, Missouri, Well Field, 1997–2018","title":"Water quality in the Missouri River alluvial aquifer near the Independence, Missouri, well field, 1997–2018","docAbstract":"<p>Groundwater-quality data collected from 1997 through 2018 from 68 monitoring locations open to the Missouri River alluvial aquifer (hereafter referred to as the “alluvial aquifer”) near the Independence, Missouri, well field were analyzed by the U.S. Geological Survey, in cooperation with the City of Independence, Missouri. This analysis was done to assess the quality of the water in the alluvial aquifer near the well field, identify trends in water quality in the alluvial aquifer from 1997 through 2018, assess hydraulic interaction between the Missouri River and the groundwater system, identify potential threats to the potability of the water extracted from the well field, and identify ways to improve the monitoring effort. Water-quality data indicate that water from the Missouri River recharges the alluvial aquifer. Recharge is exacerbated by pumping from the well field so that the quality of the water pumped from the well field is similar to that of the river for many constituents. Water-quality data indicate that the alluvial aquifer is under oxygen- and nitrate-reducing conditions, and iron- and manganese-reducing conditions are present in most of the alluvial aquifer. Sulfate-reducing conditions are present along the northern and western parts of the monitoring network north of the Missouri River. Maximum contaminant levels for antimony, arsenic, barium, lead, selenium, and uranium were exceeded in at least one sample, and the median concentrations of arsenic exceeded the maximum contaminant level in several monitoring wells on the periphery of the well field. Secondary maximum contaminant levels were exceeded for iron, manganese, and sulfate in multiple wells. Low concentrations of a variety of organic compounds, primarily derived from recharge from the Missouri River with lesser amounts potentially derived from application at land surface in the study area, are present in the alluvial aquifer and in water extracted from the well field.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225027","collaboration":"Prepared in cooperation with the City of Independence, Missouri","usgsCitation":"Kay, R.T., Krempa, H.M., and Hulsey, K.M., 2022, Water quality in the Missouri River alluvial aquifer near the Independence, Missouri, well field, 1997–2018: U.S. Geological Survey Scientific Investigations Report 2022–5027, 63 p., https://doi.org/10.3133/sir20225027.","productDescription":"Report: vi, 63 p.; Appendixes; Dataset","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-113521","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":400531,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5027/images"},{"id":400528,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5027/coverthb.jpg"},{"id":400529,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5027/sir20225027.pdf","text":"Report","size":"3.89 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5027"},{"id":400530,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5027/sir20225027.XML"},{"id":400533,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5027/sir20225027_appendix1.xlsx","text":"Appendix 1","size":"204 kB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"—Tables 1.1 to 1.70"},{"id":400534,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5027/sir20225027_appendix1.zip","text":"Appendix 1","size":"61 kB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"—Tables 1.1 to 1.70"},{"id":400535,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5027/sir20225027_appendix2.xlsx","text":"Appendix 2","size":"68.8 kB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"—Tables 2.1 to 2.30"},{"id":400536,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5027/sir20225027_appendix2.zip","text":"Appendix 2","size":"16 kB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"—Tables 2.1 to 2.30"},{"id":400537,"rank":9,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":400723,"rank":10,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20225027/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":502384,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113058.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Missouri","city":"Independence","otherGeospatial":"Missouri River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.46765899658203,\n              39.08876842889136\n            ],\n            [\n              -94.37633514404297,\n              39.08876842889136\n            ],\n            [\n              -94.37633514404297,\n              39.165471994238374\n            ],\n            [\n              -94.46765899658203,\n              39.165471994238374\n            ],\n            [\n              -94.46765899658203,\n              39.08876842889136\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a> <br>U.S. Geological Survey<br>1400 Independence Road <br>Rolla, MO 65401</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Sample Collection, Laboratory Analysis, and Data Reporting</li><li>Data Analysis</li><li>Water Quality near the Independence Well Field</li><li>Implications for Future Monitoring</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Summary Statistics for Selected Constituents in Samples from the Independence Well Field, 2008–18</li><li>Appendix 2. Summary of Organic Compounds Detected in Samples from the Independence Well Field, 2008–18</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-05-17","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Kay, Robert T. 0000-0002-6281-8997 rtkay@usgs.gov","orcid":"https://orcid.org/0000-0002-6281-8997","contributorId":1122,"corporation":false,"usgs":true,"family":"Kay","given":"Robert","email":"rtkay@usgs.gov","middleInitial":"T.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krempa, Heather M. 0000-0002-1556-6934 hkrempa@usgs.gov","orcid":"https://orcid.org/0000-0002-1556-6934","contributorId":148999,"corporation":false,"usgs":true,"family":"Krempa","given":"Heather","email":"hkrempa@usgs.gov","middleInitial":"M.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":false,"id":842804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hulsey, Katie M. 0000-0003-2126-5975","orcid":"https://orcid.org/0000-0003-2126-5975","contributorId":291641,"corporation":false,"usgs":false,"family":"Hulsey","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842805,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231442,"text":"ofr20221026 - 2022 - Aqueous geochemistry of waters and hydrogeology of alluvial deposits, Pinnacles National Park, California","interactions":[],"lastModifiedDate":"2022-05-18T13:39:36.214057","indexId":"ofr20221026","displayToPublicDate":"2022-05-17T13:38:28","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1026","displayTitle":"Aqueous Geochemistry of Waters and Hydrogeology of Alluvial Deposits, Pinnacles National Park, California","title":"Aqueous geochemistry of waters and hydrogeology of alluvial deposits, Pinnacles National Park, California","docAbstract":"<p>A cooperative study between the National Park Service (NPS) and the U.S. Geological Survey (USGS) characterized groundwater quality and hydrogeology in parts of Pinnacles National Park. The water-quality investigation assessed the geochemistry of springs, wells, surface water, and precipitation and analyzed geochemistry of rock formations that affect the water chemistry through water-rock interaction. The hydrogeology investigation used geophysical and groundwater level data to characterize groundwater-flow processes in the alluvial deposits of Bear Valley and the Chalone Creek watershed.</p><p>Analysis of aqueous geochemical parameters in water samples from perennial springs, water-supply wells, and surface waters was conducted for samples collected after the dry season (autumnal) and after the wet season (vernal) to assess changes in geochemistry due to changes in groundwater levels or flow resulting from precipitation. The chemistry of bulk precipitation collected during the wet season was also analyzed. Bedrock samples were analyzed for geochemical parameters to help constrain groundwater sources, flow paths, and weathering. The geochemical investigations show a correspondence between the source rock and the spring-water chemistry that can be attributed to the mineralogy of the source rock. The narrow range of strontium isotopes in water samples, sourced in geochemically and mineralogically disparate rocks, indicates that the bedrock groundwater is relatively old and has reached quasi-steady state with respect to weathering of susceptible minerals.</p><p>Groundwater-level monitoring indicated that the water table is shallow—from 0 to 10 meters (m) below land surface. In southern Bear Valley and in the Chalone Creek alluvium, water levels rose and declined by several meters over each annual cycle of this study. In northern Bear Valley, water levels rose modestly over two wet seasons but declined during a third wet season. In Bear Valley, groundwater/surface-water interaction occurs along the perennial reach of Sandy Creek. Groundwater discharges to the upstream part of the reach, becomes surface water and is partly consumed by evapotranspiration, and infiltrates farther downstream. In the Chalone Creek alluvium, runoff-generated surface-water flow in intermittent stream reaches is a major component of groundwater recharge. After the onset of significant streamflow, creek water rapidly recharges groundwater until water levels rise to nearly the creek level. Groundwater levels generally remain high throughout the wet season, then gradually decline after the creek becomes dry.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221026","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Scheiderich, K., Tiedeman, C.R., Hsieh, P.A., 2022, Aqueous geochemistry of waters and hydrogeology of alluvial deposits, Pinnacles National Park, California: U.S. Geological Survey Open-File Report 2022-1026, 39 p., https://doi.org/10.3133/ofr20221026.","productDescription":"Report: viii, 39 p.; 3 Data Releases","numberOfPages":"39","onlineOnly":"Y","ipdsId":"IP-129434","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":400733,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IZXRC0","text":"Streamflow data collected by the wading method, Pinnacles National Park, California, 2018","description":"Tiedeman, C.R., Ingebritsen, S.E., and Hsieh, P.A., 2021, Streamflow data collected by the wading method, Pinnacles National Park, California, 2018: U.S. Geological Survey data release, https://doi.org/10.5066/P9IZXRC0."},{"id":400732,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AMDH71","text":"Passive Seismic Data Collected for the Horizontal-to-Vertical Spectral Ratio (HVSR) Method, Pinnacles National Park, California, 2018-2020","description":"Tiedeman, C.R., and Hsieh, P.A., 2021, Passive Seismic Data Collected for the Horizontal-to-Vertical Spectral Ratio (HVSR) Method, Pinnacles National Park, California, 2018-2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9AMDH71."},{"id":400435,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1026/covrthb.jpg"},{"id":400731,"rank":3,"type":{"id":30,"text":"Data 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data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources\" href=\"https://www.usgs.gov/mission-areas/water-resources\" target=\"_blank\" rel=\"noopener\">WMA- Laboratory &amp; Analytical Services Division</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>USGS Headquarters<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Description of Study Area&nbsp;&nbsp;</li><li>Geochemistry&nbsp;&nbsp;</li><li>Hydrogeology of Bear Valley Alluvium and Chalone Creek Alluvium&nbsp;&nbsp;</li><li>Summary&nbsp;&nbsp;</li><li>Reference Cited&nbsp;&nbsp;</li><li>Appendix 1. Photographs of Selected Springs&nbsp;&nbsp;</li><li>Appendix 2. Constituents of Concern in Wells, Springs, and Surface Water&nbsp;&nbsp;</li><li>Appendix 3. Seismic Velocities</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-05-17","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Scheiderich, Kathleen 0000-0002-3756-8324","orcid":"https://orcid.org/0000-0002-3756-8324","contributorId":221339,"corporation":false,"usgs":true,"family":"Scheiderich","given":"Kathleen","email":"","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":842616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":842617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hsieh, Paul A. 0000-0003-4873-4874 pahsieh@usgs.gov","orcid":"https://orcid.org/0000-0003-4873-4874","contributorId":1634,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","email":"pahsieh@usgs.gov","middleInitial":"A.","affiliations":[{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":842618,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231641,"text":"fs20223031 - 2022 - 2022 Emergency Assistance Act — USGS recovery activities","interactions":[],"lastModifiedDate":"2022-05-17T17:00:03.310739","indexId":"fs20223031","displayToPublicDate":"2022-05-17T11:32:38","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3031","displayTitle":"2022 Emergency Assistance Act—USGS Recovery Activities","title":"2022 Emergency Assistance Act — USGS recovery activities","docAbstract":"<p>The Extending Government Funding and Delivering Emergency Assistance Act (Public Law 117-43) was enacted on September 30, 2021. The U.S. Geological Survey received $26.3 million in supplemental funding to repair and replace facilities and equipment, collect high-resolution elevation data, and complete scientific assessments to support direct recovery and rebuilding decisions in areas affected by declared disasters—earthquakes, wildfires, hurricanes, and floods—that occurred between 2019 and 2021.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223031","usgsCitation":"Hinck, J.E., and Stachyra, J., 2022, 2022 Emergency Assistance Act—USGS recovery activities: U.S. Geological Survey Fact Sheet 2022–3031, 4 p., https://doi.org/10.3133/fs20223031.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-139600","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":400692,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3031/fs20223031.XML"},{"id":400691,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3031/fs20223031.pdf","text":"Report","size":"3.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3031"},{"id":400690,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3031/coverthb.jpg"}],"contact":"<p>Associate Director, Natural Hazards Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>USGS Role in Recovery</li><li>Earthquake Response</li><li>Wildfire Response</li><li>Hurricane Response</li><li>Severe Storm Response</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-05-17","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":843198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stachyra, Joseph 0000-0002-1153-1742 jstachyra@usgs.gov","orcid":"https://orcid.org/0000-0002-1153-1742","contributorId":142,"corporation":false,"usgs":true,"family":"Stachyra","given":"Joseph","email":"jstachyra@usgs.gov","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":843199,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70231645,"text":"70231645 - 2022 - Combining process-based and data-driven approaches to forecast beach and dune change","interactions":[],"lastModifiedDate":"2022-05-18T14:05:43.161766","indexId":"70231645","displayToPublicDate":"2022-05-17T09:01:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7164,"text":"Environmental Modelling & Software","active":true,"publicationSubtype":{"id":10}},"title":"Combining process-based and data-driven approaches to forecast beach and dune change","docAbstract":"<p><span>Producing accurate hindcasts and forecasts with coupled models is challenging due to complex parameterizations that are difficult to ground in&nbsp;observational data. We present a calibration workflow that utilizes a series of&nbsp;machine learning algorithms&nbsp;paired with Windsurf, a coupled beach-dune model (Aeolis, the&nbsp;Coastal Dune&nbsp;Model, and XBeach), to produce hindcasts and forecasts of morphologic change along Bogue Banks, North Carolina.&nbsp;</span>Neural networks<span>&nbsp;paired with genetic algorithms allow us to fine tune calibration parameters for the hindcast, and then a long short-term memory neural network, trained on the hindcast, produces a 4-year forecast. We compare our hindcasts to observations from 2016 to 2017 and find they successfully reproduce observed modes of dune and beach change except for seaward growth of the dune face. We compare our forecasts to observations from 2016 to 2020 and find that they produce reasonably accurate predictions of dune change except when there are significant instances of erosion during the forecast period.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2022.105404","usgsCitation":"Itzkin, M., Moore, L.J., Ruggiero, P., Hovenga, P.A., and Hacker, S.D., 2022, Combining process-based and data-driven approaches to forecast beach and dune change: Environmental Modelling & Software, v. 153, 105404, 14 p., https://doi.org/10.1016/j.envsoft.2022.105404.","productDescription":"105404, 14 p.","ipdsId":"IP-134588","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":487468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2022.105404","text":"Publisher Index Page"},{"id":400757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Bogue Banks","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.10479736328125,\n              34.6252978589571\n            ],\n            [\n              -76.66534423828124,\n              34.6252978589571\n            ],\n            [\n              -76.66534423828124,\n              34.74838307098529\n            ],\n            [\n              -77.10479736328125,\n              34.74838307098529\n            ],\n            [\n              -77.10479736328125,\n              34.6252978589571\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"153","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Itzkin, Michael 0000-0003-0693-0607","orcid":"https://orcid.org/0000-0003-0693-0607","contributorId":291846,"corporation":false,"usgs":true,"family":"Itzkin","given":"Michael","email":"","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":843218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Laura J.","contributorId":195973,"corporation":false,"usgs":false,"family":"Moore","given":"Laura","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":843219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruggiero, Peter","contributorId":15709,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":843220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hovenga, Paige A. 0000-0002-3569-0123","orcid":"https://orcid.org/0000-0002-3569-0123","contributorId":267191,"corporation":false,"usgs":false,"family":"Hovenga","given":"Paige","email":"","middleInitial":"A.","affiliations":[{"id":55435,"text":"College of Engineering, Oregon State University, Corvallis, OR, USA","active":true,"usgs":false}],"preferred":false,"id":843221,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hacker, Sally D.","contributorId":291847,"corporation":false,"usgs":false,"family":"Hacker","given":"Sally","email":"","middleInitial":"D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":843222,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70234249,"text":"70234249 - 2022 - Hot spots and hot moments in the Critical Zone: Identification of and incorporation into reactive transport models","interactions":[],"lastModifiedDate":"2022-08-05T13:52:04.318024","indexId":"70234249","displayToPublicDate":"2022-05-17T08:46:59","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Hot spots and hot moments in the Critical Zone: Identification of and incorporation into reactive transport models","docAbstract":"<p><span>Biogeochemical processes are often spatially discrete (hot spots) and temporally isolated (hot moments) due to variability in controlling factors like hydrologic fluxes, lithological characteristics, bio-geomorphic features, and external forcing. Although these hot spots and hot moments (HSHMs) account for a high percentage of carbon, nitrogen and nutrient cycling within the Critical Zone, the ability to identify and incorporate them into reactive transport models remains a significant challenge. This chapter provides an overview of the hot spots hot moments (HSHMs) concepts, where past work has largely focused on carbon and nitrogen dynamics within riverine systems. This work is summarized in the context of process-based and data-driven modeling approaches, including a brief description of recent research that casts a wider net to incorporate Hg, Fe and other Critical Zone elements, and focuses on interdisciplinary approaches and concepts. The broader goal of this chapter is to provide an overview of the gaps in our current understanding of HSHMs, and the opportunities therein, while specifically focusing on the underlying parameters and processes leading to their prognostic and diagnostic representation in reactive transport models.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biogeochemistry of the Critical Zone","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Nature","doi":"10.1007/978-3-030-95921-0_2","usgsCitation":"Arora, B., Briggs, M., Zarnetske, J.P., Stegen, J., Gomez-Velez, J., and Dwivedi, D., 2022, Hot spots and hot moments in the Critical Zone: Identification of and incorporation into reactive transport models, chap. <i>of</i> Biogeochemistry of the Critical Zone, p. 9-47, https://doi.org/10.1007/978-3-030-95921-0_2.","productDescription":"39 p.","startPage":"9","endPage":"47","ipdsId":"IP-114081","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":404874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Arora, Bhavna 0000-0001-7841-886X","orcid":"https://orcid.org/0000-0001-7841-886X","contributorId":290532,"corporation":false,"usgs":false,"family":"Arora","given":"Bhavna","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":848330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222756,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":848331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zarnetske, Jay P.","contributorId":210073,"corporation":false,"usgs":false,"family":"Zarnetske","given":"Jay","email":"","middleInitial":"P.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":848332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stegen, James","contributorId":242792,"corporation":false,"usgs":false,"family":"Stegen","given":"James","affiliations":[{"id":48525,"text":"Earth and Biological Sciences Division, Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":848333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gomez-Velez, Jesus","contributorId":219087,"corporation":false,"usgs":false,"family":"Gomez-Velez","given":"Jesus","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":848334,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dwivedi, D.","contributorId":294554,"corporation":false,"usgs":false,"family":"Dwivedi","given":"D.","affiliations":[{"id":36254,"text":"LBNL","active":true,"usgs":false}],"preferred":false,"id":848335,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70234225,"text":"70234225 - 2022 - Velocity modeling of supercritical pore fluids through porous media under reservoir conditions with applications for petroleum secondary migration and carbon sequestration plumes","interactions":[],"lastModifiedDate":"2022-08-04T13:38:44.407482","indexId":"70234225","displayToPublicDate":"2022-05-17T08:31:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11447,"text":"SEG-AAPG Interpretation","active":true,"publicationSubtype":{"id":10}},"title":"Velocity modeling of supercritical pore fluids through porous media under reservoir conditions with applications for petroleum secondary migration and carbon sequestration plumes","docAbstract":"Computational methods to characterize secondary migration in porous media traditionally rely on fluid transport equations with assumptions of time invariance, such as flowpath modeling of buoyancy vectors, statistical percolation algorithms, capillary pressure curves, or a form of Darcy’s Law which presumes instantaneous fluid transport. However, in petroleum systems modeling, the timeframe of secondary migration from source to reservoir is important to quantify in relation to other geologic factors such as timing of petroleum generation, fault movement, and seal formation. Additionally, quantifying migration velocities enables an estimation of the distance a plume of geologically sequestered carbon dioxide travels over time, as well as the identification of low-permeability strata appropriate for long-term containment. This study introduces a method to quantify transport velocities of supercritical fluids in low-permeability lithologies for a broad range of rock and fluid properties likely encountered in the sedimentary sequence. A time-dependent form of Darcy’s Law for pressure-driven viscous flow through homogeneous isotropic porous media was used to model flow velocities within a carrier bed. Thermodynamic equations of state were used to determine thermophysical properties of supercritical pore fluids under reservoir pressures ranging from 0–200 MPa (0–29,000 psi) to constrain the momentum equations. Three case studies were examined that (1) estimated fluid flow velocities of methane within the low-permeability Upper Jurassic Haynesville Formation, (2) defined permeability-based flow units to evaluate saline formations for long-term geologic carbon sequestration, and (3) calculated the migration distance of carbon dioxide plumes at the Decatur, Illinois injection and sequestration project.","language":"English","publisher":"Society of Economic Geologists","doi":"10.1190/int-2021-0182.1","usgsCitation":"Burke, L.A., 2022, Velocity modeling of supercritical pore fluids through porous media under reservoir conditions with applications for petroleum secondary migration and carbon sequestration plumes: SEG-AAPG Interpretation, v. 10, no. 3, p. SG1-SG9, https://doi.org/10.1190/int-2021-0182.1.","productDescription":"9 p.","startPage":"SG1","endPage":"SG9","ipdsId":"IP-126541","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":447759,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1190/int-2021-0182.1","text":"Publisher Index Page"},{"id":435846,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GT9TWK","text":"USGS data release","linkHelpText":"Data tables associated with velocity modeling of supercritical pore fluids through porous media at reservoir conditions with applications for petroleum secondary migration and carbon sequestration plumes"},{"id":404814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Burke, Lauri A. 0000-0002-2035-8048 lburke@usgs.gov","orcid":"https://orcid.org/0000-0002-2035-8048","contributorId":3859,"corporation":false,"usgs":true,"family":"Burke","given":"Lauri","email":"lburke@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":848241,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70233241,"text":"70233241 - 2022 - Revealing active Mars with HiRISE digital terrain models","interactions":[],"lastModifiedDate":"2022-07-19T12:14:27.972653","indexId":"70233241","displayToPublicDate":"2022-05-17T07:09:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Revealing active Mars with HiRISE digital terrain models","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Many discoveries of active surface processes on Mars have been made due to the availability of repeat high-resolution images from the High Resolution Imaging Science Experiment (HiRISE) onboard the Mars Reconnaissance Orbiter. HiRISE stereo images are used to make digital terrain models (DTMs) and orthorectified images (orthoimages). HiRISE DTMs and orthoimage time series have been crucial for advancing the study of active processes such as recurring slope lineae, dune migration, gully activity, and polar processes. We describe the process of making HiRISE DTMs, orthoimage time series, DTM mosaics, and the difference of DTMs, specifically using the ISIS/SOCET Set workflow. HiRISE DTMs are produced at a 1 and 2 m ground sample distance, with a corresponding estimated vertical precision of tens of cm and ∼1 m, respectively. To date, more than 6000 stereo pairs have been acquired by HiRISE and, of these, more than 800 DTMs and 2700 orthoimages have been produced and made available to the public via the Planetary Data System. The intended audiences of this paper are producers, as well as users, of HiRISE DTMs and orthoimages. We discuss the factors that determine the effective resolution, as well as the quality, precision, and accuracy of HiRISE DTMs, and provide examples of their use in time series analyses of active surface processes on Mars.<span>&nbsp;</span></div>","language":"English","publisher":"MDPI","doi":"10.3390/rs14102403","usgsCitation":"Sutton, S.S., Chojnacki, M., McEwen, A.S., Kirk, R.L., Dundas, C., Schaefer, E.I., Conway, S.J., Diniega, S., Portyankina, G., Landis, M., Baugh, N.F., Heyd, R., Byrne, S., Tornabene, L.L., Ojha, L., and Hamilton, C.W., 2022, Revealing active Mars with HiRISE digital terrain models: Remote Sensing, v. 14, no. 10, 2403, 40 p., https://doi.org/10.3390/rs14102403.","productDescription":"2403, 40 p.","ipdsId":"IP-133937","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":447765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs14102403","text":"Publisher Index Page"},{"id":404000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Sutton, Sarah S.","contributorId":203706,"corporation":false,"usgs":false,"family":"Sutton","given":"Sarah","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":846872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chojnacki, Matthew","contributorId":201621,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":846873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":846874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":846875,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dundas, Colin M. 0000-0003-2343-7224","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":237028,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":846876,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schaefer, Ethan I","contributorId":269971,"corporation":false,"usgs":false,"family":"Schaefer","given":"Ethan","email":"","middleInitial":"I","affiliations":[{"id":33186,"text":"Western University","active":true,"usgs":false}],"preferred":false,"id":846877,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conway, Susan J.","contributorId":203697,"corporation":false,"usgs":false,"family":"Conway","given":"Susan","email":"","middleInitial":"J.","affiliations":[{"id":36693,"text":"University of Nantes","active":true,"usgs":false}],"preferred":false,"id":846878,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Diniega, Serina","contributorId":212017,"corporation":false,"usgs":false,"family":"Diniega","given":"Serina","email":"","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":846879,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Portyankina, Ganna","contributorId":200703,"corporation":false,"usgs":false,"family":"Portyankina","given":"Ganna","email":"","affiliations":[],"preferred":false,"id":846880,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Landis, Margaret E.","contributorId":176713,"corporation":false,"usgs":false,"family":"Landis","given":"Margaret E.","affiliations":[{"id":25655,"text":"Lunar and Planetary Laboratory, 1629 E. University Blvd., The University of Arizona, Tucson, AZ 85721, United States","active":true,"usgs":false}],"preferred":false,"id":846881,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Baugh, Nicole F","contributorId":293258,"corporation":false,"usgs":false,"family":"Baugh","given":"Nicole","email":"","middleInitial":"F","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":846882,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Heyd, Rodney","contributorId":210542,"corporation":false,"usgs":false,"family":"Heyd","given":"Rodney","email":"","affiliations":[],"preferred":false,"id":846883,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Byrne, Shane","contributorId":192609,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","email":"","affiliations":[],"preferred":false,"id":846884,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tornabene, Livio L.","contributorId":203691,"corporation":false,"usgs":false,"family":"Tornabene","given":"Livio","email":"","middleInitial":"L.","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":846885,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ojha, Lujendra","contributorId":201619,"corporation":false,"usgs":false,"family":"Ojha","given":"Lujendra","email":"","affiliations":[{"id":36219,"text":"Johns Hopkins","active":true,"usgs":false}],"preferred":false,"id":846886,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hamilton, Christopher W.","contributorId":196266,"corporation":false,"usgs":false,"family":"Hamilton","given":"Christopher","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":846887,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
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