{"pageNumber":"264","pageRowStart":"6575","pageSize":"25","recordCount":184743,"records":[{"id":70245143,"text":"70245143 - 2023 - Identifying hydrologic signatures associated with streamflow depletion caused by groundwater pumping","interactions":[],"lastModifiedDate":"2023-06-19T15:55:44.490498","indexId":"70245143","displayToPublicDate":"2023-06-19T10:45:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Identifying hydrologic signatures associated with streamflow depletion caused by groundwater pumping","docAbstract":"<p><span>Groundwater pumping can reduce streamflow in nearby waterways (‘streamflow depletion’), a process which must be accounted for in integrated management of surface and groundwater resources. However, causal identification of streamflow depletion from hydrographs alone is challenging because pumping impacts are masked by other drivers of hydrologic variability. To identify potential indicators of streamflow depletion, we used synthetic hydrographs and an analytical streamflow depletion model to assess potential pumping impacts on specific hydrograph characteristics (‘hydrologic signatures’) for 215 streamgages spanning the conterminous United States (CONUS). We found that streamflow depletion commonly impacts signatures associated with seasonal and annual low flows and low flow recessions. The largest impacts occurred during dry years, suggesting streamflow depletion may be evident in dry years even where impacts are unmeasurable in wet years. Random forest models indicated that streamflow depletion could significantly impact Annual, Summer, and Fall signatures in most streams. Our finding that multiple hydrologic signatures are consistently responsive to streamflow depletion across CONUS suggests that the underlying hydrological processes linking pumping to streamflow reductions are consistent across diverse settings, information that will aid in identifying indicators of streamflow depletion from streamflow hydrographs.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.14877","usgsCitation":"Lapides, D.A., Zipper, S., and Hammond, J., 2023, Identifying hydrologic signatures associated with streamflow depletion caused by groundwater pumping: Hydrological Processes, v. 37, no. 4, e14877, 13 p., https://doi.org/10.1002/hyp.14877.","productDescription":"e14877, 13 p.","ipdsId":"IP-145169","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":443027,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.14877","text":"Publisher Index Page"},{"id":418214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                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]\n}","volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Lapides, Dana A.","contributorId":310433,"corporation":false,"usgs":false,"family":"Lapides","given":"Dana","email":"","middleInitial":"A.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":875667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipper, Samuel 0000-0002-8735-5757","orcid":"https://orcid.org/0000-0002-8735-5757","contributorId":225160,"corporation":false,"usgs":false,"family":"Zipper","given":"Samuel","email":"","affiliations":[{"id":41056,"text":"Kansas Geological Survey, University of Kansas, Lawrence KS 66047, USA","active":true,"usgs":false}],"preferred":false,"id":875668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":875669,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70245145,"text":"70245145 - 2023 - Evaluating population trends of juvenile Atlantic Sturgeon at low abundance in a dynamic estuarine environment (Hudson River, New York)","interactions":[],"lastModifiedDate":"2023-09-20T16:18:28.999697","indexId":"70245145","displayToPublicDate":"2023-06-19T10:36:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating population trends of juvenile Atlantic Sturgeon at low abundance in a dynamic estuarine environment (Hudson River, New York)","docAbstract":"<p><span>Evaluating population trends in dynamic estuarine environments can be challenging, especially when survey data include a high percentage of zero observations. In fishery-independent surveys, zeros that come from reduced susceptibility to sample gears and reduced availability of the population to the survey impact survey catchability and negatively bias relative abundance indices. A zero-inflated negative binomial model was used to standardize a juvenile Atlantic Sturgeon (</span><i>Acipenser oxyrinchus oxyrinchus</i><span>) relative abundance index (Hudson River, New York) that included a high proportion (42%) of zero observations and intra- and interannually variable covariates. Reduced susceptibility was related to low water temperature, with the percentage of zeroes increasing rapidly below 7°C. Availability was influenced by temperature and distance to salt front, as catch rates increased with temperature and peaked in mesohaline waters ~27 km downstream of the predicted salt front. An alternative index suggested significant population growth (</span><i>r</i><span> = 0.15;&nbsp;</span><i>p</i><span>-value = 0.007) occurred from 2004 to 2015. The zero-inflated model helped better understand Hudson River juvenile Atlantic Sturgeon ecology and relative trends in abundance, to better inform future management and monitoring decisions along the Atlantic Coast.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/fme.12638","usgsCitation":"Dufour, M.R., and Qian, S.S., 2023, Evaluating population trends of juvenile Atlantic Sturgeon at low abundance in a dynamic estuarine environment (Hudson River, New York): Fisheries Management and Ecology, v. 30, no. 5, p. 507-520, https://doi.org/10.1111/fme.12638.","productDescription":"14 p.","startPage":"507","endPage":"520","ipdsId":"IP-133677","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":499248,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fme.12638","text":"Publisher Index Page"},{"id":418213,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Haverstraw Bay, Hudson River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.98965367137986,\n              41.27278785874276\n            ],\n            [\n              -73.98810103364949,\n              41.21441540680195\n            ],\n            [\n              -73.96481146769594,\n              41.172354958942265\n            ],\n            [\n              -73.92754816217085,\n              41.15131460173012\n            ],\n            [\n              -73.85923210204054,\n              41.15365275277256\n            ],\n            [\n              -73.87010056615213,\n              41.1898834296822\n            ],\n            [\n              -73.9042585962173,\n              41.222590688889795\n            ],\n            [\n              -73.93686398855216,\n              41.24477558908072\n            ],\n            [\n              -73.94152190174316,\n              41.26578591767401\n            ],\n            [\n              -73.98965367137986,\n              41.27278785874276\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"30","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Dufour, Mark Richard 0000-0001-6930-7666","orcid":"https://orcid.org/0000-0001-6930-7666","contributorId":291450,"corporation":false,"usgs":true,"family":"Dufour","given":"Mark","email":"","middleInitial":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":875670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, Song S. 0000-0002-2346-4903","orcid":"https://orcid.org/0000-0002-2346-4903","contributorId":306033,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[{"id":62440,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 43606","active":true,"usgs":false}],"preferred":false,"id":875671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70246666,"text":"70246666 - 2023 - Assembly of the largest squamate reference genome to date: The western fence lizard, Sceloporus occidentalis","interactions":[],"lastModifiedDate":"2023-07-13T12:21:16.669884","indexId":"70246666","displayToPublicDate":"2023-06-19T07:19:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"title":"Assembly of the largest squamate reference genome to date: The western fence lizard, Sceloporus occidentalis","docAbstract":"<p class=\"chapter-para\">Spiny lizards (genus<span>&nbsp;</span><i>Sceloporus</i>) have long served as important systems for studies of behavior, thermal physiology, dietary ecology, vector biology, speciation, and biogeography. The western fence lizard,<span>&nbsp;</span><i>Sceloporus occidentalis</i>, is found across most of the major biogeographical regions in the western United States and northern Baja California, Mexico, inhabiting a wide range of habitats, from grassland to chaparral to open woodlands. As small ectotherms,<span>&nbsp;</span><i>Sceloporus</i><span>&nbsp;</span>lizards are particularly vulnerable to climate change, and<span>&nbsp;</span><i>S. occidentalis</i><span>&nbsp;</span>has also become an important system for studying the impacts of land use change and urbanization on small vertebrates. Here, we report a new reference genome assembly for<span>&nbsp;</span><i>S. occidentalis</i>, as part of the California Conservation Genomics Project (CCGP). Consistent with the reference genomics strategy of the CCGP, we used Pacific Biosciences HiFi long reads and Hi-C chromatin-proximity sequencing technology to produce a de novo assembled genome. The assembly comprises a total of 608 scaffolds spanning 2,856 Mb, has a contig N50 of 18.9 Mb, a scaffold N50 of 98.4 Mb, and BUSCO completeness score of 98.1% based on the tetrapod gene set. This reference genome will be valuable for understanding ecological and evolutionary dynamics in<span>&nbsp;</span><i>S. occidentalis</i>, the species status of the California endemic island fence lizard (<i>S. becki</i>), and the spectacular radiation of<span>&nbsp;</span><i>Sceloporus</i><span>&nbsp;</span>lizards.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jhered/esad037","usgsCitation":"Bishop, A.P., Westeen, E.P., Yuan, M.L., Escalona, M., Beraut, E., Fairbairn, C., Marimuthu, M.P., Nguyen, O., Chumchim, N., Toffelmier, E., Fisher, R., Shaffer, H.B., and Wang, I.J., 2023, Assembly of the largest squamate reference genome to date: The western fence lizard, Sceloporus occidentalis: Journal of Heredity, esad037, 8 p., https://doi.org/10.1093/jhered/esad037.","productDescription":"esad037, 8 p.","ipdsId":"IP-153901","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":443030,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jhered/esad037","text":"Publisher Index Page"},{"id":418925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.00587691587047,\n              38.63815584099635\n            ],\n            [\n              -120.00587691587047,\n              37.271997433540875\n            ],\n            [\n              -118.52673416891399,\n              37.271997433540875\n            ],\n            [\n              -118.52673416891399,\n              38.63815584099635\n            ],\n            [\n              -120.00587691587047,\n              38.63815584099635\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2023-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Bishop, Anusha P.","contributorId":316609,"corporation":false,"usgs":false,"family":"Bishop","given":"Anusha","email":"","middleInitial":"P.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":877839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Westeen, Erin P.","contributorId":316610,"corporation":false,"usgs":false,"family":"Westeen","given":"Erin","email":"","middleInitial":"P.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":877840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yuan, Michael L.","contributorId":316611,"corporation":false,"usgs":false,"family":"Yuan","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":877841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Escalona, Merly","contributorId":299346,"corporation":false,"usgs":false,"family":"Escalona","given":"Merly","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":877842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beraut, Eric","contributorId":299352,"corporation":false,"usgs":false,"family":"Beraut","given":"Eric","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":877843,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fairbairn, Colin","contributorId":316612,"corporation":false,"usgs":false,"family":"Fairbairn","given":"Colin","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":877844,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marimuthu, Mohan P. A.","contributorId":299347,"corporation":false,"usgs":false,"family":"Marimuthu","given":"Mohan","email":"","middleInitial":"P. A.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":877845,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nguyen, Oanh","contributorId":299348,"corporation":false,"usgs":false,"family":"Nguyen","given":"Oanh","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":877846,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chumchim, Noravit","contributorId":316613,"corporation":false,"usgs":false,"family":"Chumchim","given":"Noravit","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":877847,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Toffelmier, Erin","contributorId":299356,"corporation":false,"usgs":false,"family":"Toffelmier","given":"Erin","email":"","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":877848,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":877849,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shaffer, H. Bradley","contributorId":202769,"corporation":false,"usgs":false,"family":"Shaffer","given":"H.","email":"","middleInitial":"Bradley","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":877850,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wang, Ian J.","contributorId":315485,"corporation":false,"usgs":false,"family":"Wang","given":"Ian","email":"","middleInitial":"J.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":877851,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70248864,"text":"70248864 - 2023 - Antimycin A species sensitivity distribution: Perspectives for non-indigenous fish control","interactions":[],"lastModifiedDate":"2023-09-25T12:15:23.015113","indexId":"70248864","displayToPublicDate":"2023-06-19T07:13:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Antimycin A species sensitivity distribution: Perspectives for non-indigenous fish control","docAbstract":"The global transfer of aquatic biota outside their native geographical range has resulted in dramatic changes to biological communities. Many nonnative species introductions are facilitated by human activity and then spread intra-continentally through connected watersheds once established. Resource managers therefore utilize multiple control technologies, such as management chemicals, for fisheries management to remove non-indigenous fishes. Antimycin-A (ANT-A) is a management chemical, previously registered in the United States, that has been extensively studied and used to control non-indigenous fishes. The present study examines ANT-A species sensitivity among fish and aquatic invertebrates and summarizes factors that influence toxicity. ANT-A species sensitivity distributions 20th percentile hazard concentrations (HC20) for acute studies ≤ 24 h demonstrated fish (0.088 µg/L) are 174-fold more sensitive to ANT-A than invertebrates (15.35 µg/L). Similar to previous reports, toxicity was demonstrated to be influenced by water pH, temperature, and fish mass. Therefore, the present study and results characterize ANT-A toxicity for aquatic resource managers and future use in fisheries management.","language":"English","publisher":"REABIC (Regional Euro-Asian Biological Invasions Centre)","doi":"10.3391/mbi.2023.14.3.09","usgsCitation":"Saari, G.N., 2023, Antimycin A species sensitivity distribution: Perspectives for non-indigenous fish control: Management of Biological Invasions, v. 14, no. 3, p. 503-517, https://doi.org/10.3391/mbi.2023.14.3.09.","productDescription":"15 p.","startPage":"503","endPage":"517","ipdsId":"IP-132452","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":443032,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2023.14.3.09","text":"Publisher Index Page"},{"id":421124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Saari, Gavin N. 0000-0002-3593-5127 gsaari@usgs.gov","orcid":"https://orcid.org/0000-0002-3593-5127","contributorId":289203,"corporation":false,"usgs":true,"family":"Saari","given":"Gavin","email":"gsaari@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":883977,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70245183,"text":"70245183 - 2023 - A hierarchical modelling framework for estimating individual- and population-level reproductive success from movement data","interactions":[],"lastModifiedDate":"2023-08-08T14:19:03.582056","indexId":"70245183","displayToPublicDate":"2023-06-19T07:06:50","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A hierarchical modelling framework for estimating individual- and population-level reproductive success from movement data","docAbstract":"<ol class=\"\"><li>Rapidly advancing animal telemetry technologies paired with new statistical models can provide insight into the behaviour of otherwise unobservable free-living animals. Changes in behaviour apparent from pairing telemetry with statistical models often occur as animals undertake key life-history activities, such as reproduction. For many species that are secretive or occupy remote areas, these life-history events are difficult to detect with conventional survey techniques, and consequently, vital rates are difficult to estimate.</li><li>We present a hierarchical modelling framework, which integrates movement data observed via animal-borne telemetry and optional, infrequent survey data, to estimate individual- and population-level reproductive success. The approach combines a mechanistic movement model and survival model, and allows for assessing the effects of hypothesized individual and environmental covariates on reproductive success. We first tested our approach with simulated data, and then applied it to movement data from migratory golden eagles (<i>Aquila chrysaetos)</i><span>&nbsp;</span>breeding in southcentral Alaska across four breeding seasons.</li><li>We show that results supported our biological hypotheses that changes in movement coincided with the timing of reproductive failures, and that changes in movement could be used to assess breeding success (and failure) at the individual and population levels. The analysis also provided evidence of inter-annual variation in population-level nest success and the timing of nesting failures.</li><li>This new approach is adaptable to many species that care for young and can be tracked with telemetry devices, and can provide not only individual-level information useful for testing ecological hypotheses, but estimates of demographic parameters that can directly inform conservation and management if tagged animals are representative of the population.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14159","usgsCitation":"Eisaguirre, J.M., Williams, P.J., Brockman, J.C., Lewis, S.B., Barger, C., Breed, G.A., and Booms, T.L., 2023, A hierarchical modelling framework for estimating individual- and population-level reproductive success from movement data: Methods in Ecology and Evolution, v. 14, no. 8, p. 2110-2122, https://doi.org/10.1111/2041-210X.14159.","productDescription":"13 p.","startPage":"2110","endPage":"2122","ipdsId":"IP-147084","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":443034,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14159","text":"Publisher Index Page"},{"id":435282,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98BYRS4","text":"USGS data release","linkHelpText":"Reproductive Success from Movement Data"},{"id":418286,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Eisaguirre, Joseph Michael 0000-0002-0450-8472","orcid":"https://orcid.org/0000-0002-0450-8472","contributorId":301980,"corporation":false,"usgs":true,"family":"Eisaguirre","given":"Joseph","email":"","middleInitial":"Michael","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":875789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":875790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brockman, Julia C.","contributorId":302928,"corporation":false,"usgs":false,"family":"Brockman","given":"Julia","email":"","middleInitial":"C.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":875791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Stephen B.","contributorId":200586,"corporation":false,"usgs":false,"family":"Lewis","given":"Stephen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":875792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barger, Christopher P.","contributorId":310493,"corporation":false,"usgs":false,"family":"Barger","given":"Christopher P.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":875793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Breed, Greg A.","contributorId":181943,"corporation":false,"usgs":false,"family":"Breed","given":"Greg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":875794,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Booms, Travis L.","contributorId":199285,"corporation":false,"usgs":false,"family":"Booms","given":"Travis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":875795,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70249193,"text":"70249193 - 2023 - Evaluation of nearshore bathymetric inversion algorithms using camera observations and synthetic numerical input of surface waves during storms","interactions":[],"lastModifiedDate":"2023-10-02T12:05:24.844076","indexId":"70249193","displayToPublicDate":"2023-06-19T07:01:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of nearshore bathymetric inversion algorithms using camera observations and synthetic numerical input of surface waves during storms","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Nearshore<span>&nbsp;</span>bathymetry<span>&nbsp;is difficult to measure using survey methods when wave heights approach the breaking limit.&nbsp;Remote sensing&nbsp;using digital cameras offers a way to observe the&nbsp;surf zone&nbsp;and calculate water depths based on phase speed but comes with its challenges of potentially noisy data that can introduce error into estimates of frequency and wavenumber used in phase speed calculation. This study investigates the robustness of a new version of a bathymetric inversion algorithm (cBathy, version 2.0) in moderate to energetic wave conditions by comparing depth estimates from timeseries’ of pixel intensity with depth estimates from synthetic water level data. The synthetic data are generated by the phase-resolving numerical model, SWASH, and optical data were collected during a field experiment in 2015. Model results from SWASH computed with known bathymetry are used as input to cBathy, and depth estimates are compared to nearshore surveys. Argus camera observations are also used as input to cBathy for the same times as the SWASH simulations. The SWASH simulations resolve breaking waves and do not include (optical) changes to the relation between water surface slope and pixel intensity, termed&nbsp;modulation transfer function, that occur during wave breaking, enabling better estimates from bathymetric inversion algorithms near&nbsp;morphologic features&nbsp;like sand bars. The results indicate that improvements result from eliminating of disruptions to the modulation transfer function caused by wave breaking and residual foam. We show that the use of synthetic wave data is a valuable means of isolating errors in bathymetric inversion algorithms.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2023.104338","usgsCitation":"Oades, E., Mulligan, R., and Palmsten, M.L., 2023, Evaluation of nearshore bathymetric inversion algorithms using camera observations and synthetic numerical input of surface waves during storms: Coastal Engineering, v. 184, 104338, 14 p., https://doi.org/10.1016/j.coastaleng.2023.104338.","productDescription":"104338, 14 p.","ipdsId":"IP-150422","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":443035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2023.104338","text":"Publisher Index Page"},{"id":421458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","city":"Duck","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.88936314340529,\n              36.31922233148438\n            ],\n            [\n              -75.88936314340529,\n              36.09324415562598\n            ],\n            [\n              -75.61754120043011,\n              36.09324415562598\n            ],\n            [\n              -75.61754120043011,\n              36.31922233148438\n            ],\n            [\n              -75.88936314340529,\n              36.31922233148438\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"184","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Oades, Elora","contributorId":330361,"corporation":false,"usgs":false,"family":"Oades","given":"Elora","affiliations":[{"id":36943,"text":"Queens University","active":true,"usgs":false}],"preferred":false,"id":884765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulligan, Ryan","contributorId":330362,"corporation":false,"usgs":false,"family":"Mulligan","given":"Ryan","affiliations":[{"id":36943,"text":"Queens University","active":true,"usgs":false}],"preferred":false,"id":884766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":884767,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70245195,"text":"70245195 - 2023 - Historical DNA reveals climate adaptation in an endangered songbird","interactions":[],"lastModifiedDate":"2023-07-11T16:11:13.811565","indexId":"70245195","displayToPublicDate":"2023-06-19T06:51:46","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Historical DNA reveals climate adaptation in an endangered songbird","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>To cope with climate change, species may shift their distributions or adapt in situ to changing environmental conditions. However, clear examples of genetic changes via adaptation are limited. We explore evolutionary responses to climate change in the endangered southwestern willow flycatcher (<i>Empidonax traillii extimus</i>) through whole-genome comparisons between historical specimens, collected from 1888 to 1909 near San Diego, California, United States, and contemporary individuals from across the breeding range. Genomic analyses revealed that introgression into San Diego increased adaptive potential over time and shifted genome-wide population structure towards that of neighbouring populations. In contrast, loci linked to climate (dew point temperature and precipitation) shifted away from neighbouring populations and in a direction consistent with adaptation to climate change in southern California. This research highlights the role of admixture in facilitating adaptive shifts through its impact on genome-wide genetic variation and represents one of the few studies to document climate adaptation in a wild population.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41558-023-01696-3","usgsCitation":"Turbek, S.P., Bossu, C., Rayne, C., Gruppi, C., Kus, B., Whitfield, M.J., Smith, T.B., Paxton, E.H., Bay, R.A., and Ruegg, K.C., 2023, Historical DNA reveals climate adaptation in an endangered songbird: Nature Climate Change, v. 13, p. 735-741, https://doi.org/10.1038/s41558-023-01696-3.","productDescription":"7 p.","startPage":"735","endPage":"741","ipdsId":"IP-149706","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"links":[{"id":502518,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":418283,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2023-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Turbek, Sheela P.","contributorId":289294,"corporation":false,"usgs":false,"family":"Turbek","given":"Sheela","email":"","middleInitial":"P.","affiliations":[{"id":62097,"text":"The University of Colorado","active":true,"usgs":false}],"preferred":false,"id":875815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bossu, Christen","contributorId":310499,"corporation":false,"usgs":false,"family":"Bossu","given":"Christen","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":875816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rayne, Christine","contributorId":310500,"corporation":false,"usgs":false,"family":"Rayne","given":"Christine","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":875817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gruppi, Cristian","contributorId":310501,"corporation":false,"usgs":false,"family":"Gruppi","given":"Cristian","email":"","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":875818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":875819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitfield, Mary J.","contributorId":174933,"corporation":false,"usgs":false,"family":"Whitfield","given":"Mary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":875820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Thomas B.","contributorId":206223,"corporation":false,"usgs":false,"family":"Smith","given":"Thomas","email":"","middleInitial":"B.","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":875821,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":875822,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bay, Rachael A.","contributorId":206219,"corporation":false,"usgs":false,"family":"Bay","given":"Rachael","email":"","middleInitial":"A.","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":875823,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ruegg, Kristen C","contributorId":310502,"corporation":false,"usgs":false,"family":"Ruegg","given":"Kristen","email":"","middleInitial":"C","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":875824,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70256183,"text":"70256183 - 2023 - Using simulated GEDI waveforms to evaluate the effects of beam sensitivity and terrain slope on GEDI L2A relative height metrics over the Brazilian Amazon Forest","interactions":[],"lastModifiedDate":"2024-07-25T23:42:30.562257","indexId":"70256183","displayToPublicDate":"2023-06-18T11:05:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9346,"text":"Science of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Using simulated GEDI waveforms to evaluate the effects of beam sensitivity and terrain slope on GEDI L2A relative height metrics over the Brazilian Amazon Forest","docAbstract":"The vertical structure of forests provides important parameters for estimating aboveground biomass (AGB) and it can be measured by LiDAR sensors. The Global Ecosystem Dynamics Investigation (GEDI) full-waveform LiDAR sensor collects data systematically over the Earth’s surface from the International Space Station. Since GEDI became operational, it has collected billions of ~25 m diameter footprints. This massive dataset has been used to create higher level gridded and non-grided products. However, GEDI’s ~25 m footprints can be subject to errors associated with effects of geolocation, terrain slope, and beam sensitivity, among others, which are likely transferred to the downstream products. This study aims to (1) evaluate the effect of beam sensitivity and terrain slope on the accuracy of relative heights (RH) of GEDI product L2A version 2 through comparison with discrete-return airborne LiDAR data collected over transects in the Brazilian Amazon Forest biome, (2) assess GEDI’s geolocation uncertainty and investigate its combined effects with beam sensitivity and terrain slope, and (3) re-evaluate beam sensitivity and terrain slope effects on the GEDI L2A RHs using footprints that were geolocation-adjusted through a simple novel approach. The analysis separates GEDI footprints by acquisition time, i.e., daytime, nighttime, and combined (all-data). The discrete-return airborne LiDAR point clouds are used to derive terrain slope within the GEDI footprints, and to simulate GEDI waveforms and derive RHs comparable to the GEDI L2A product. Results indicate that terrain slope only causes significant effects on GEDI data collected during daytime because solar radiation affects waveform signal-to-noise ratio. Beam sensitivity causes significant effects on nighttime and all-data GEDI L2A RHs. If geolocation uncertainty is considered, the effects of beam sensitivity and terrain slope have just minor changes. Geolocation-adjusted data continue showing significant effects on nighttime and all-data RH differences caused by beam sensitivity but produce unbiased results. This study improves the understanding of how beam sensitivity, terrain slope and their combined effect with geolocation uncertainty may affect the GEDI L2A RH collected over the Brazilian Amazon forest during daytime and nighttime.","language":"English","publisher":"Elsevier","doi":"10.1016/j.srs.2023.100083","usgsCitation":"Oliveira, P.V., Zhang, X., Peterson, B., and Ometto, J.P., 2023, Using simulated GEDI waveforms to evaluate the effects of beam sensitivity and terrain slope on GEDI L2A relative height metrics over the Brazilian Amazon Forest: Science of Remote Sensing, v. 7, 100083, 17 p., https://doi.org/10.1016/j.srs.2023.100083.","productDescription":"100083, 17 p.","ipdsId":"IP-151686","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":443039,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.srs.2023.100083","text":"Publisher Index Page"},{"id":431447,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Brazilian Amazon Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.17735455212451,\n              8.927949738632165\n            ],\n            [\n              -76.17735455212451,\n              -16.46821635041222\n            ],\n            [\n              -43.65782330212468,\n              -16.46821635041222\n            ],\n            [\n              -43.65782330212468,\n              8.927949738632165\n            ],\n            [\n              -76.17735455212451,\n              8.927949738632165\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Oliveira, Pedro V. C.","contributorId":340385,"corporation":false,"usgs":false,"family":"Oliveira","given":"Pedro","email":"","middleInitial":"V. C.","affiliations":[{"id":81597,"text":"Imaging Center, Image Processing Laboratory, South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":907018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Xiaoyang","contributorId":340386,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiaoyang","affiliations":[{"id":81598,"text":"Geospatial Sciences Center of Excellence, Department of Geography & Geospatial Sciences, South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":907019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Birgit 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":192353,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":907020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ometto, Jean P.","contributorId":340387,"corporation":false,"usgs":false,"family":"Ometto","given":"Jean","email":"","middleInitial":"P.","affiliations":[{"id":81599,"text":"National Institute for Space Research, Earth System Science Center, Brazil","active":true,"usgs":false}],"preferred":false,"id":907021,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70246740,"text":"70246740 - 2023 - Synthesis of larval lamprey responses to dewatering: State of the science, critical uncertainties, and management implications","interactions":[],"lastModifiedDate":"2024-01-24T17:14:16.107183","indexId":"70246740","displayToPublicDate":"2023-06-17T06:50:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Synthesis of larval lamprey responses to dewatering: State of the science, critical uncertainties, and management implications","docAbstract":"<div id=\"article__content\" class=\"col-sm-12 col-md-8 col-lg-8 article__content article-row-left\"><div class=\"article__body \"><div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><h3 id=\"nafm10924-sec-0050-title\" class=\"article-section__sub-title section1\">Objective</h3><p>Dewatering of fine sediments in rivers and streams can kill many thousands of larval lampreys (order Petromyzontiformes) that are burrowed in these habitats. The larval life stage for lampreys lasts 3–10 years, and because larvae often aggregate in large numbers, negative impacts from dewatering could potentially deplete local populations and affect multiple year-classes. Larval lampreys have not traditionally been considered during instream projects, but recent efforts to increase awareness of lamprey habitats have resulted in guidance on dewatering approaches to limit impacts to lampreys. Salvage efforts to rescue and relocate lampreys aim to mitigate losses, but a lack of understanding of lamprey responses limits the optimization of dewatering and salvage procedures.</p><h3 id=\"nafm10924-sec-0051-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We summarize the state of the science for nine factors that influence larval lamprey (<i>Entosphenus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Lampetra</i><span>&nbsp;</span>spp.) responses to dewatering, including burrowing depth, the prevalence and timing of emergence, movements, survival, shoreline slope, dewatering rate, light, and lamprey size.</p><h3 id=\"nafm10924-sec-0052-title\" class=\"article-section__sub-title section1\">Result</h3><p>Research suggests that (1) shoreline slope influences movement capability, (2) hot and sunny conditions increase the risk of mortality, (3) salvage activities cause minimal direct mortality, and (4) smaller larvae are especially vulnerable to negative impacts from dewatering because they are more likely to emerge and are less capable of movement. Critical uncertainties associated with dewatering include cues that drive emergence, the influence of sediment composition and stratigraphy, vertical distribution of larvae in natural settings, use of the hyporheic zone, the scale of predation losses, and the effectiveness and impacts of salvage activities.</p><h3 id=\"nafm10924-sec-0053-title\" class=\"article-section__sub-title section1\">Conclusion</h3><p>Balancing investments in salvage operations and lamprey exclusion efforts (e.g., screening) and developing field survey approaches to evaluate lamprey use of the hyporheic zone are identified management implications and research needs. Addressing the critical uncertainties discussed here and providing updated, science-based guidance on dewatering and salvage practices are suggested management actions to support lamprey conservation.</p></div></div></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10924","usgsCitation":"Liedtke, T.L., Harris, J.E., Blanchard, M.R., Skalicky, J.J., and Grote, A.B., 2023, Synthesis of larval lamprey responses to dewatering: State of the science, critical uncertainties, and management implications: North American Journal of Fisheries Management, v. 43, no. 6, p. 1475-1491, https://doi.org/10.1002/nafm.10924.","productDescription":"17 p.","startPage":"1475","endPage":"1491","ipdsId":"IP-152321","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":499243,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10924","text":"Publisher Index Page"},{"id":419040,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":878138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Julianne E. 0000-0003-1343-5911","orcid":"https://orcid.org/0000-0003-1343-5911","contributorId":247527,"corporation":false,"usgs":false,"family":"Harris","given":"Julianne","email":"","middleInitial":"E.","affiliations":[{"id":49569,"text":"U.S. Fish and Wildlife Service, Columbia River Fish and Wildlife Conservation Office, 1211 SE Cardinal Court, Suite 100, Vancouver, Washington 98683","active":true,"usgs":false}],"preferred":false,"id":878139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blanchard, Monica R.","contributorId":316728,"corporation":false,"usgs":false,"family":"Blanchard","given":"Monica","email":"","middleInitial":"R.","affiliations":[{"id":68685,"text":"Washington Department of Fish and Wildlife, 5525 S 11th St, Ridgefield, Washington 98642","active":true,"usgs":false}],"preferred":false,"id":878140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skalicky, Joseph J. 0000-0002-6467-5037","orcid":"https://orcid.org/0000-0002-6467-5037","contributorId":247528,"corporation":false,"usgs":false,"family":"Skalicky","given":"Joseph","email":"","middleInitial":"J.","affiliations":[{"id":49569,"text":"U.S. Fish and Wildlife Service, Columbia River Fish and Wildlife Conservation Office, 1211 SE Cardinal Court, Suite 100, Vancouver, Washington 98683","active":true,"usgs":false}],"preferred":false,"id":878141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grote, Ann B.","contributorId":169715,"corporation":false,"usgs":false,"family":"Grote","given":"Ann","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":878142,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70245409,"text":"70245409 - 2023 - The Colorado River water crisis: Its origin and the future","interactions":[],"lastModifiedDate":"2023-11-07T15:04:05.989924","indexId":"70245409","displayToPublicDate":"2023-06-17T06:45:50","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"The Colorado River water crisis: Its origin and the future","docAbstract":"<p>During much of the 21st century, natural runoff in the Colorado River basin has declined, while consumption has remained relatively constant, leading to historically low reservoir storage. Between January 2000 and April 2023, the amount of water stored in Lake Mead and Lake Powell, the two largest reservoirs in the United States, declined by 33.5 million acre feet (41.3 billion cubic meters). As of April 2023, total basin-wide storage was sufficient to support the 21st century average rate of basin-wide consumption for only 15 months. Runoff in spring 2023 is predicted to be large, providing a short-term reprieve. However, it will take four to five additional unusually wet years in succession to refill Lake Powell and Lake Mead if basin-wide water use remains unchanged. Increasing evapotranspiration and dry soils associated with global climate change makes such a scenario unlikely. To stabilize reservoir storage, basin-wide use needs to equal modern runoff. To recover reservoir storage, basin-wide use needs to decline even more. Based on 21st century average runoff, a 13%–20% decline in basin-wide use would allow for stabilization and some reservoir storage recovery. Future policy debate about reservoir operations will inevitably concern whether most, or all, reservoir storage should be in Lake Mead or in Lake Powell. The choice of one or the other will result in significantly different environmental and recreational outcomes for Glen Canyon and the Grand Canyon.</p>","language":"English","publisher":"Wiley Interdisciplinary Reviews","doi":"10.1002/wat2.1672","usgsCitation":"Schmidt, J.C., Yackulic, C., and Kuhn, E., 2023, The Colorado River water crisis: Its origin and the future: WIREs Water, v. 10, no. 6, e1672, 11 p., https://doi.org/10.1002/wat2.1672.","productDescription":"e1672, 11 p.","ipdsId":"IP-148177","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":443043,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1672","text":"Publisher Index Page"},{"id":418391,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, Baja California, California, Colorado, Nevada, New Mexico, Sonora, Utah, Wyoming","otherGeospatial":"Colorado River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.48421418796046,\n              31.35434215860566\n            ],\n            [\n              -113.65259586662187,\n              32.23920414412936\n            ],\n            [\n              -112.21089756604964,\n              31.90052568352887\n            ],\n            [\n              -111.87558421754458,\n              32.20952085093056\n            ],\n            [\n              -111.28541066018629,\n              32.11399667847604\n            ],\n            [\n              -111.23279241837177,\n              31.437228609979257\n            ],\n            [\n              -110.94817616136105,\n              30.97237021578711\n            ],\n            [\n              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]\n}","volume":"10","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, John C.","contributorId":207751,"corporation":false,"usgs":false,"family":"Schmidt","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":37627,"text":"Department of Watershed Sciences, Utah State University, Logan, UT, USA","active":true,"usgs":false}],"preferred":false,"id":876047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":876048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuhn, Eric","contributorId":311212,"corporation":false,"usgs":false,"family":"Kuhn","given":"Eric","email":"","affiliations":[{"id":67359,"text":"General Manager, Colorado River Water Conservation District (retired)  Glenwood Springs, CO","active":true,"usgs":false}],"preferred":false,"id":876049,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70247935,"text":"70247935 - 2023 - Modeling the effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine-dominant estuary","interactions":[],"lastModifiedDate":"2023-08-24T12:02:06.018325","indexId":"70247935","displayToPublicDate":"2023-06-16T06:55:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine-dominant estuary","docAbstract":"<div class=\"JournalAbstract\"><p>The effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine dominant estuary (Grand Bay, Alabama, U.S.A) are investigated using a two-dimensional model, the Discontinuous-Galerkin Shallow Water Equations Model (DG-SWEM). Three restoration alternatives are simulated for present-day conditions, as well as under 0.5 m of sea level rise (SLR). Model results show that the restoration alternatives have no impact on tidal range within the estuary but change maximum tidal velocities by ±5 cm/s in the present-day scenarios and by ±7 cm/s in the scenarios with 0.5 m of SLR. Differences in average salinity concentrations for simulated tropical and frontal seasons show increases and decreases on the order of 2 pss in the embayments surrounding the restoration alternatives; differences were larger (on the order of ±4 pss) for the scenarios with 0.5 m of SLR. There were minimal changes in average salinity outside of the estuary and no changes offshore. The size and position of the alternatives played a role in the salinity response as a result of changing the estuarine shoreline geometry and affecting the fetch within the bay. SLR was more impactful in increasing exposure to low salinity values (i.e., less than 5 pss) than the presence of the restoration alternatives. Overall, the modeled results indicate that these large-scale restoration actions have limited and localized impacts on the hydrodynamics and salinity patterns in this open coast estuary. The results also demonstrate the nonlinear response of salinity to SLR, with increases and decreases in the maximum, mean and minimum daily salinity concentrations from present-day conditions. This nonlinear response was a result of changes in the directions of the residual currents, which affected salinity transport.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2023.1193462","usgsCitation":"Passeri, D., Jenkins, R., Poisson, A.C., Bilskie, M.V., and Bacopoulos, P., 2023, Modeling the effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine-dominant estuary: Frontiers in Marine Science, v. 10, 1193462, 19 p., https://doi.org/10.3389/fmars.2023.1193462.","productDescription":"1193462, 19 p.","ipdsId":"IP-152170","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":443047,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2023.1193462","text":"Publisher Index Page"},{"id":435283,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OO9N0O","text":"USGS data release","linkHelpText":"Modeling the Effects of Large-scale Interior Headland Restoration on Tidal Hydrodynamics and Salinity Transport in an Open Coast, Marine-dominant Estuary: Model Input and Results"},{"id":420109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Grand Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.42490237364372,\n              30.410101434734756\n            ],\n            [\n              -88.42490237364372,\n              30.33549029382921\n            ],\n            [\n              -88.26086447819436,\n              30.33549029382921\n            ],\n            [\n              -88.26086447819436,\n              30.410101434734756\n            ],\n            [\n              -88.42490237364372,\n              30.410101434734756\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2023-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":881113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Robert L. III 0000-0003-2078-4618","orcid":"https://orcid.org/0000-0003-2078-4618","contributorId":202181,"corporation":false,"usgs":true,"family":"Jenkins","given":"Robert L.","suffix":"III","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":881114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poisson, Autumn C.","contributorId":204091,"corporation":false,"usgs":false,"family":"Poisson","given":"Autumn","email":"","middleInitial":"C.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":881115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bilskie, Matthew V.","contributorId":166891,"corporation":false,"usgs":false,"family":"Bilskie","given":"Matthew","email":"","middleInitial":"V.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":881116,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bacopoulos, Peter","contributorId":328727,"corporation":false,"usgs":false,"family":"Bacopoulos","given":"Peter","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":881117,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70245204,"text":"70245204 - 2023 - Is chemical control for crayfish in hatchery fish shipments practical?","interactions":[],"lastModifiedDate":"2023-08-23T16:40:48.523759","indexId":"70245204","displayToPublicDate":"2023-06-16T06:45:35","publicationYear":"2023","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":"Is chemical control for crayfish in hatchery fish shipments practical?","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Invasive crayfish (family Cambaridae) displace native crayfish species and alter aquatic habitat, community structure, and ecosystem function. We evaluated whether chemical control can be a reliable control agent for crayfish to ensure that shipments from fish hatcheries did not result in new infestations of invasive crayfish. A series of acute (≤1 h) toxicity tests were conducted to evaluate the toxicity of cypermethrin and pyrethrin to crayfish, freshwater mussels, and fish; chemical concentrations in test organisms; effectiveness of carbon-block filters to remove cypermethrin from test waters; and the cost of chemical control relative to extra handling of fish. Cypermethrin dosed at 75 μg/L for 15 min resulted in 100% mortality of adult white river crawfish<span>&nbsp;</span><i>Procambarus acutus</i><span>&nbsp;</span>and virile crayfish<span>&nbsp;</span><i>Faxonius virilis</i><span>&nbsp;</span>but did not cause &gt;20% mortality in adult pondmussel<span>&nbsp;</span><i>Ligumia subrostrata</i>, juvenile fatmucket<span>&nbsp;</span><i>Lampsilis siliquoidea</i>, fingerling Bluegill<span>&nbsp;</span><i>Lepomis macrochirus</i>, hybrid sunfish (Bluegill × Green Sunfish<span>&nbsp;</span><i>L. cyanellus</i>), hybrid Striped Bass (White Bass<span>&nbsp;</span><i>Morone chrysops</i> × Striped Bass<span>&nbsp;</span><i>M. saxatilis</i>), yearling Paddlefish<span>&nbsp;</span><i>Polyodon spathula,</i><span>&nbsp;</span>or ready-to-eat Bluegill, hybrid sunfish, and Channel Catfish<span>&nbsp;</span><i>Ictalurus punctatus</i>. Behavioral effects, such as loss of equilibrium or head shaking, were generally limited to 1 h postexposure. Mean concentrations of cypermethrin increased in fish fillets (4–26 μg/g) and whole fish (5–1,770 μg/g); therefore, regulations limiting harvest for up to 7 d following stocking may be required. A carbon-block filtration system was effective in reducing (&lt;90%) cypermethrin concentrations and thus reducing potential effects to nontarget species in receiving waters. Extra handling of fish was more cost-effective for all fish tested except for Paddlefish, where the cost of chemical control was half that for extra handling. For all other fish tested, chemical control was 4–10 times more expensive than extra handling. Special use permits or chemical registration are needed before chemical control for crayfish could be routinely used at fish hatcheries.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/naaq.10291","usgsCitation":"Allert, A., Westrich, D., Whites, D.W., Knott, K., Storts, N., and DiStefano, R.J., 2023, Is chemical control for crayfish in hatchery fish shipments practical?: North American Journal of Aquaculture, v. 85, no. 3, p. 214-234, https://doi.org/10.1002/naaq.10291.","productDescription":"21 p.","startPage":"214","endPage":"234","ipdsId":"IP-141306","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":443050,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/naaq.10291","text":"Publisher Index Page"},{"id":435284,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OEG5LZ","text":"USGS data release","linkHelpText":"Survival, behavior, reproduction, morphometric measurements, and tissue analyses of crayfish, mussels, and fish from acute pesticide toxicity tests"},{"id":418282,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"85","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Allert, Ann 0000-0001-7063-8016 aallert@usgs.gov","orcid":"https://orcid.org/0000-0001-7063-8016","contributorId":178200,"corporation":false,"usgs":true,"family":"Allert","given":"Ann","email":"aallert@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":875841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Westrich, Daniel J.","contributorId":310511,"corporation":false,"usgs":false,"family":"Westrich","given":"Daniel J.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":875842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whites, David W. 0000-0003-3490-7906","orcid":"https://orcid.org/0000-0003-3490-7906","contributorId":310509,"corporation":false,"usgs":true,"family":"Whites","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":875843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knott, Katrina","contributorId":310513,"corporation":false,"usgs":false,"family":"Knott","given":"Katrina","email":"","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":875844,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storts, Nathan","contributorId":310515,"corporation":false,"usgs":false,"family":"Storts","given":"Nathan","email":"","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":875845,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DiStefano, Robert J.","contributorId":204893,"corporation":false,"usgs":false,"family":"DiStefano","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":875846,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70245778,"text":"70245778 - 2023 - Late Pleistocene-Holocene age and stratigraphy of the Currituck Slide Complex, U.S. mid-Atlantic continental slope: Implications for landslide triggering","interactions":[],"lastModifiedDate":"2023-06-27T11:38:58.011534","indexId":"70245778","displayToPublicDate":"2023-06-16T06:33:04","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Late Pleistocene-Holocene age and stratigraphy of the Currituck Slide Complex, U.S. mid-Atlantic continental slope: Implications for landslide triggering","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0085\"><span>Considerable effort has been made to link&nbsp;submarine slope&nbsp;failures to changes in local and global-scale environmental conditions, in order to assess&nbsp;landslide&nbsp;hazard probability. Here we provide the first radiocarbon dates of hemipelagic sediment overlying mass transport deposits and inferred failure surfaces of the Currituck Slide Complex (CSC), a prominent landslide scar on the&nbsp;U.S.&nbsp;mid-Atlantic&nbsp;continental slope. The dates, taken from both the upper and lower scars of the complex, constrain the age of the last major failure event to 13,835 and 16,020&nbsp;years BP. Time correlation of the hemipelagic sediments across the landslide scar and proximal deposit suggests a single failure of both the upper and lower parts of this 160&nbsp;km</span><sup>3</sup><span>&nbsp;volume. A higher rate of sediment supply from the periglacial Appalachian Mountains and from glacial melt-water pulses, with an exposed&nbsp;continental shelf&nbsp;at that time, may have enlarged a shelf-edge delta at the site of the CSC, which may have facilitated or triggered failure. A smaller landslide at the southern edge of the complex with a less well-defined geomorphologic footprint is dated at 5500 BP and possibly represents the reshaping of the seafloor around the CSC triggered by low-frequency earthquakes on the nearby continental margin.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2023.107080","usgsCitation":"Chaytor, J., ten Brink, U.S., and Baxter, C.D., 2023, Late Pleistocene-Holocene age and stratigraphy of the Currituck Slide Complex, U.S. mid-Atlantic continental slope: Implications for landslide triggering: Marine Geology, v. 462, 107080, 19 p., https://doi.org/10.1016/j.margeo.2023.107080.","productDescription":"107080, 19 p.","ipdsId":"IP-146791","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":443053,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2023.107080","text":"Publisher Index Page"},{"id":435285,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H74BAX","text":"USGS data release","linkHelpText":"Sedimentological and geotechnical analyses of marine sediment cores from the Currituck Landslide Complex and upper slope adjacent to Baltimore Canyon collected on USGS Field Activity 2012-007-FA"},{"id":418495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.24488211659069,\n              36.88317535115634\n            ],\n            [\n              -75.24488211659069,\n              35.4291188696381\n            ],\n            [\n              -73.07052206310391,\n              35.4291188696381\n            ],\n            [\n              -73.07052206310391,\n              36.88317535115634\n            ],\n            [\n              -75.24488211659069,\n              36.88317535115634\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"462","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":876305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":201741,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":876306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baxter, Christopher D. P.","contributorId":147084,"corporation":false,"usgs":false,"family":"Baxter","given":"Christopher","email":"","middleInitial":"D. P.","affiliations":[],"preferred":false,"id":876307,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70244724,"text":"fs20233024 - 2023 - A century of hydrologic data collection prepares western Long Island for current and future water-resources challenges","interactions":[],"lastModifiedDate":"2026-02-09T17:29:27.391578","indexId":"fs20233024","displayToPublicDate":"2023-06-15T14:00:00","publicationYear":"2023","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":"2023-3024","displayTitle":"A Century of Hydrologic Data Collection Prepares Western Long Island for Current and Future Water-Resources Challenges","title":"A century of hydrologic data collection prepares western Long Island for current and future water-resources challenges","docAbstract":"<p>Freshwater is a vital natural resource. New York is a water-rich State; however, even here, the economical use of water resources is needed to ensure there is enough water of adequate quality for human and ecological needs—now and into the future. Nowhere in New York is this more evident than on Long Island where public-water supply is obtained from the sole-source aquifers directly beneath the 3 million people that live there. The U.S. Geological Survey works in partnership with the Nassau County Department of Public Works and Department of Health to monitor streamflow, groundwater, water quality, and water use.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233024","usgsCitation":"Breault, R.F., Masterson, J.P., Busciolano, R., and Fisher, I., 2023, A century of hydrologic data collection prepares western Long Island for current and future water-resources challenges (ver. 1.1, July 2023): U.S. Geological Survey Fact Sheet 2023–3024, 4 p., https://doi.org/10.3133/fs20233024.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-145029","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":419071,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2023/3024/versionHist.txt","size":"2.88 KB","linkFileType":{"id":2,"text":"txt"}},{"id":419068,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20233024/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2023-3024"},{"id":418370,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3024/coverthb3.jpg"},{"id":499688,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114776.htm","linkFileType":{"id":5,"text":"html"}},{"id":419070,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3024/fs20233024.XML"},{"id":419069,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3024/images/"},{"id":419067,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3024/fs20233024.pdf","text":"Report","size":"4.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3024"}],"country":"United States","state":"New York","otherGeospatial":"western Long Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.47830294208853,\n              40.943716469005324\n            ],\n            [\n              -73.78304279806949,\n              40.943716469005324\n            ],\n            [\n              -73.78304279806949,\n              40.52975156287121\n            ],\n            [\n              -73.47830294208853,\n              40.52975156287121\n            ],\n            [\n              -73.47830294208853,\n              40.943716469005324\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: June 2023; Version 1.1: July 2023","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-06-15","revisedDate":"2023-07-20","noUsgsAuthors":false,"publicationDate":"2023-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Breault, Robert F. 0000-0002-2517-407X rbreault@usgs.gov","orcid":"https://orcid.org/0000-0002-2517-407X","contributorId":218990,"corporation":false,"usgs":true,"family":"Breault","given":"Robert","email":"rbreault@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":875408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masterson, John P. 0000-0003-3202-4413","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":102516,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":875409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Busciolano, Ronald 0000-0002-9257-8453 rjbuscio@usgs.gov","orcid":"https://orcid.org/0000-0002-9257-8453","contributorId":1059,"corporation":false,"usgs":true,"family":"Busciolano","given":"Ronald","email":"rjbuscio@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":875410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Irene 0000-0002-3792-7235 ifisher@usgs.gov","orcid":"https://orcid.org/0000-0002-3792-7235","contributorId":223594,"corporation":false,"usgs":true,"family":"Fisher","given":"Irene","email":"ifisher@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":875411,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70245099,"text":"70245099 - 2023 - Northwest Forest Plan — The first 25 years (1994–2018): Watershed condition status and trends","interactions":[],"lastModifiedDate":"2024-01-19T17:26:23.734397","indexId":"70245099","displayToPublicDate":"2023-06-15T10:05:53","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":295,"text":"Technical Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"PNW-GTR-1010","title":"Northwest Forest Plan — The first 25 years (1994–2018): Watershed condition status and trends","docAbstract":"<p><span>This report describes status and trends in watershed condition across the Northwest Forest Plan (NWFP) area over the first 25 years since its inception in 1994. The program charged with this task is the Aquatic and Riparian Effectiveness Monitoring Program (AREMP), which has assembled information from field data collection, spatial datasets, and a host of landscape models to evaluate the status and trends in aquatic resources in streams and watersheds. Field data included hydrologic measurements (stream wetted widths and temperatures), geomorphic responses (instream wood and sediment), and biological responses (macroinvertebrates and aquatic organism passage). Novel statistical models were used to estimate trends in these measured responses. A suite of complementary modeled results was also employed to describe hydrometeorological drivers (e.g., drought indices and stream discharge), forest cover (upslope and riparian vegetation), and geomorphic conditions (e.g., road-related estimates of chronic and shallow landslide sediment delivery risk). Collectively, information on these responses allowed us to rigorously evaluate instream responses and hypothesize watershed drivers of those responses across the NWFP area and over time. The majority of responses we observed indicated widespread and incremental improvements from active management of forests, forest roads, and road-stream crossings as envisioned by the aquatic conservation strategy of the NWFP. Additionally, many of the responses we observed were consistent with those expected under the influences of changing climates in the Pacific Northwest. Ultimately, the long-term, broad-scale information provided by AREMP is a critical foundation for evaluating the effectiveness of federal land management and the effects of changing climates on water resources that sustain the Pacific Northwest’s human and natural landscapes.</span></p>","language":"English","publisher":"U.S. Department of Agriculture, Forest Service","doi":"10.2737/PNW-GTR-1010","usgsCitation":"Dunham, J., Hirsch, C., Gordon, S., Flitcroft, R.L., Chelgren, N., Snyder, M.N., Hockman-Wert, D.P., Reeves, G.H., Andersen, H.V., Anderson, S.K., Battaglin, W., Black, T.A., Brown, J., Claeson, S., Hay, L., Heaston, E.D., Luce, C., Nelson, N., Penn, C., and Raggon, M., 2023, Northwest Forest Plan — The first 25 years (1994–2018): Watershed condition status and trends: Technical Report PNW-GTR-1010, 165 p., https://doi.org/10.2737/PNW-GTR-1010.","productDescription":"165 p.","numberOfPages":"184","ipdsId":"IP-133075","costCenters":[{"id":191,"text":"Colorado Water Science 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,{"id":70245089,"text":"70245089 - 2023 - Pathology and infectious agents of unionid mussels: A primer for pathologists in disease surveillance and investigation of mortality events","interactions":[],"lastModifiedDate":"2023-09-06T16:11:31.128796","indexId":"70245089","displayToPublicDate":"2023-06-15T09:34:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3687,"text":"Veterinary Pathology","active":true,"publicationSubtype":{"id":10}},"title":"Pathology and infectious agents of unionid mussels: A primer for pathologists in disease surveillance and investigation of mortality events","docAbstract":"<p><span>Freshwater mussels are one of the most imperiled groups of organisms in the world, and more than 30 species have gone extinct in the last century. While habitat alteration and destruction have contributed to the declines, the role of disease in mortality events is unclear. In an effort to involve veterinary pathologists in disease surveillance and the investigation of freshwater mussel mortality events, we provide information on the conservation status of unionids, sample collection and processing techniques, and unique and confounding anatomical and physiological differences. We review the published accounts of pathology and infectious agents described in freshwater mussels including neoplasms, viruses, bacteria, fungi, fungal-like agents, ciliated protists, Aspidogastrea, Digenea, Nematoda, Acari, Diptera, and Odonata. Of the identified infectious agents, a single viral disease,&nbsp;</span><i>Hyriopsis cumingii</i><span>&nbsp;plague disease, that occurs only in cultured mussels is known to cause high mortality. Parasites including ciliates, trematodes, nematodes, mites, and insects may decrease host fitness, but are not known to cause mortality. Many of the published reports identify infectious agents at the light or ultrastructural microscopy level with no lesion or molecular characterization. Although metagenomic analyses provide sequence information for infectious agents, studies often fail to link the agents to tissue changes at the light or ultrastructural level or confirm their role in disease. Pathologists can bridge this gap between identification of infectious agents and confirmation of disease, participate in disease surveillance to ensure successful propagation programs necessary to restore decimated populations, and investigate mussel mortality events to document pathology and identify causality.</span></p>","language":"English","publisher":"Sage Publishing","doi":"10.1177/03009858231171666","usgsCitation":"Knowles, S., Dennis, M., McElwain, A., Leis, E., and Richard, J.C., 2023, Pathology and infectious agents of unionid mussels: A primer for pathologists in disease surveillance and investigation of mortality events: Veterinary Pathology, v. 60, no. 5, p. 510-528, https://doi.org/10.1177/03009858231171666.","productDescription":"19 p.","startPage":"510","endPage":"528","ipdsId":"IP-145112","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":418130,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-05-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":875428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennis, Michelle 0000-0002-9075-2032","orcid":"https://orcid.org/0000-0002-9075-2032","contributorId":310343,"corporation":false,"usgs":false,"family":"Dennis","given":"Michelle","email":"","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":875429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McElwain, Andrew 0000-0001-8153-2196","orcid":"https://orcid.org/0000-0001-8153-2196","contributorId":310345,"corporation":false,"usgs":false,"family":"McElwain","given":"Andrew","email":"","affiliations":[{"id":67147,"text":"State University of New York Oswego","active":true,"usgs":false}],"preferred":false,"id":875430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leis, Eric","contributorId":179325,"corporation":false,"usgs":false,"family":"Leis","given":"Eric","affiliations":[],"preferred":false,"id":875431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richard, Jordan C. 0000-0002-9981-7832","orcid":"https://orcid.org/0000-0002-9981-7832","contributorId":270965,"corporation":false,"usgs":false,"family":"Richard","given":"Jordan","email":"","middleInitial":"C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":875432,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256541,"text":"70256541 - 2023 - Nest usurpation by a female Mississippi Kite (Ictinia mississippiensis)","interactions":[],"lastModifiedDate":"2024-08-22T14:35:59.437767","indexId":"70256541","displayToPublicDate":"2023-06-15T09:34:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Nest usurpation by a female Mississippi Kite (<i>Ictinia mississippiensis</i>)","title":"Nest usurpation by a female Mississippi Kite (Ictinia mississippiensis)","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"The Raptor Research Foundation, Inc.","doi":"10.3356/JRR-22-103","usgsCitation":"Boal, C.W., 2023, Nest usurpation by a female Mississippi Kite (Ictinia mississippiensis): Journal of Raptor Research, v. 57, no. 3, p. 485-488, https://doi.org/10.3356/JRR-22-103.","productDescription":"4 p.","startPage":"485","endPage":"488","ipdsId":"IP-146448","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":907890,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70244323,"text":"sim3504 - 2023 - Potentiometric surface map of the Southern High Plains aquifer in the Cannon Air Force Base area, Curry County, New Mexico, 2020","interactions":[],"lastModifiedDate":"2026-02-19T17:56:46.734655","indexId":"sim3504","displayToPublicDate":"2023-06-15T09:19:26","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3504","displayTitle":"Potentiometric Surface Map of the Southern High Plains Aquifer in the Cannon Air Force Base Area, Curry County, New Mexico, 2020","title":"Potentiometric surface map of the Southern High Plains aquifer in the Cannon Air Force Base area, Curry County, New Mexico, 2020","docAbstract":"<p>Declining water levels and the potential impact on water resources on and around Cannon Air Force Base (AFB), New Mexico, has necessitated an up-to-date review of the potentiometric surface to evaluate the availability of water resources for future use. Analysis of groundwater-flow directions and hydraulic gradients can provide an understanding of depletion by heavy groundwater pumping and recharge through playa lakes, as well as the relationship between the groundwater levels and underlying geology. The objectives of this study, conducted by the U.S. Geological Survey in cooperation with the U.S. Air Force Civil Engineer Center, are to assist Cannon AFB in understanding and interpreting current and local hydrologic conditions and to evaluate groundwater-level change from 2015 to 2020 using new and historical data. A groundwater potentiometric surface contour map was constructed to better understand the Southern High Plains aquifer around Cannon AFB and to show the altitude of the water-table surface and groundwater-flow patterns. Four hydrographs were created from periodic measurements of groundwater levels in wells on and around Cannon AFB to provide information about historical groundwater-level changes and visualize trends from the water-level records. The long-term trend present in all four hydrographs is a steady decline in groundwater levels, with some areas declining faster than others. The groundwater-level change map presented in this study provides a visual representation of the change in groundwater level from the winter 2015 to winter 2020 measuring events. Results show that among corresponding wells measured in 2015 and 2020, 50.7 percent indicated a decline in water levels, 29.9 percent indicated neutral water levels, and 19.4 percent indicated a rise in water levels. The region to the north of the groundwater trough on Cannon AFB contained most of the groundwater-level rises, whereas the regions located near the trough and just west of Clovis, N. Mex., contained most of the declines. These results suggest that continued monitoring of declining groundwater levels in the area would provide valuable decision-support information for assessing the sustainability of this water resource.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3504","issn":"2329-132X","collaboration":"Prepared in cooperation with the U.S. Air Force Civil Engineer Center","usgsCitation":"Goodwin, A.B., and Bell, M.T., 2023, Potentiometric surface map of the Southern High Plains aquifer in the Cannon Air Force Base area, Curry County, New Mexico, 2020: U.S. Geological Survey Scientific Investigations Map 3504, 1 sheet, 18-p. pamphlet, https://doi.org/10.3133/sim3504.","productDescription":"Report: vi, 18 p., Dataset; 1 Sheet: 21.00 × 28.00 inches","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-125645","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":418086,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS Dataset—USGS Water Data for the Nation"},{"id":418084,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sim3504/full","description":"SIM 3504 HTML"},{"id":418083,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sim/3504/sim3504.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIM 3504 XML"},{"id":418082,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3504/sim3504_sheet.pdf","text":"SIM 3504 sheet","size":"20.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3504 sheet"},{"id":418081,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3504/sim3504_pamphlet.pdf","text":"SIM 3504 pamphlet","size":"1.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3504 pamphlet"},{"id":418085,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3504/images"},{"id":418080,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3504/coverthb.jpg"},{"id":500210,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114779.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","county":"Curry County","otherGeospatial":"Cannon Air Force Base area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -103.45552475877462,\n              34.55546399201461\n            ],\n            [\n              -103.45552475877462,\n              34.26327750553342\n            ],\n            [\n              -103.09999492679654,\n              34.26327750553342\n            ],\n            [\n              -103.09999492679654,\n              34.55546399201461\n            ],\n            [\n              -103.45552475877462,\n              34.55546399201461\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/nm-water\" href=\"https://www.usgs.gov/centers/nm-water\">New Mexico Water Science Center</a> <br>U.S. Geological Survey <br>6700 Edith Blvd. NE <br>Albuquerque, NM 87113&nbsp;<br></p><div class=\"elementToProof\"><a data-mce-href=\"Contact%20Pubs Warehouse https:/pubs.er.usgs.gov/contact\" href=\"Contact%20Pubs Warehouse https:/pubs.er.usgs.gov/contact\">Contact Pubs Warehouse</a></div>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods </li><li>Results and Discussion </li><li>Summary </li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2023-06-15","noUsgsAuthors":false,"publicationDate":"2023-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodwin, A.B.","contributorId":61408,"corporation":false,"usgs":true,"family":"Goodwin","given":"A.B.","email":"","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":false,"id":875382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, Meghan T. 0000-0003-4993-1642","orcid":"https://orcid.org/0000-0003-4993-1642","contributorId":209712,"corporation":false,"usgs":true,"family":"Bell","given":"Meghan T.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":875383,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70252648,"text":"70252648 - 2023 - MLAAPDE: A machine learning dataset for determining global earthquake source parameters","interactions":[],"lastModifiedDate":"2024-04-02T14:20:57.348232","indexId":"70252648","displayToPublicDate":"2023-06-15T09:16:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"MLAAPDE: A machine learning dataset for determining global earthquake source parameters","docAbstract":"<p><span>The Machine Learning Asset Aggregation of the Preliminary Determination of Epicenters (MLAAPDE) dataset is a labeled waveform archive designed to enable rapid development of machine learning (ML) models used in seismic monitoring operations. MLAAPDE consists of more than 5.1 million recordings of 120&nbsp;s long three‐component broadband waveform data (raw counts) for&nbsp;</span><i>P</i><span>,&nbsp;</span><i>Pn</i><span>,&nbsp;</span><i>Pg</i><span>,&nbsp;</span><i>S</i><span>,&nbsp;</span><i>Sn</i><span>, and&nbsp;</span><i>Sg</i><span>&nbsp;arrivals. The labeled catalog is collected from the U.S. Geological Survey National Earthquake Information Center’s (NEIC) Preliminary Determination of Epicenters bulletin, which includes local to teleseismic observations for earthquakes ∼</span><strong>M</strong><span>&nbsp;2.5 and larger. Each arrival in the labeled dataset has been manually reviewed by NEIC staff. An accompanying Python module enables users to develop customized training datasets, which includes different time‐series lengths, distance ranges, sampling rates, and/or phase lists. MLAAPDE is distinct from other publicly available datasets in containing local (14%), regional (36%), and teleseismic (50%) observations, in which local, regional, and teleseismic distance are 0°–3°, 3°–30°, and 30°+, respectively. A recent version of the dataset is publicly available (see&nbsp;</span>Data and Resources<span>), and user‐specific versions can be generated locally with the accompanying software. MLAAPDE is an NEIC supported, curated, and periodically updated dataset that can contribute to seismological ML research and development.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220230021","usgsCitation":"Cole, H.M., Yeck, W.L., and Benz, H.M., 2023, MLAAPDE: A machine learning dataset for determining global earthquake source parameters: Seismological Research Letters, v. 94, no. 5, p. 2489-2499, https://doi.org/10.1785/0220230021.","productDescription":"11 p.","startPage":"2489","endPage":"2499","ipdsId":"IP-135344","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":427310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Cole, Hank M. 0000-0003-1684-9116","orcid":"https://orcid.org/0000-0003-1684-9116","contributorId":335228,"corporation":false,"usgs":true,"family":"Cole","given":"Hank","email":"","middleInitial":"M.","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":897818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":897819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897820,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70245088,"text":"70245088 - 2023 - The unmarked R package: Twelve years of advances in occurrence and abundance modelling in ecology","interactions":[],"lastModifiedDate":"2023-06-15T14:07:24.755563","indexId":"70245088","displayToPublicDate":"2023-06-15T08:59:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":15221,"text":"Methods in Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"The unmarked R package: Twelve years of advances in occurrence and abundance modelling in ecology","docAbstract":"<ol class=\"\"><li>Species distribution models (SDMs) are widely applied to understand the processes governing spatial and temporal variation in species abundance and distribution but often do not account for measurement errors such as false negatives and false positives.</li><li>We describe<span>&nbsp;</span><strong>unmarked</strong>, a package for the freely available and open-source R software that provides a complete workflow for modelling species distribution and abundance while explicitly accounting for measurement errors. Here we focus on recent advances in<span>&nbsp;</span><strong>unmarked</strong><span>&nbsp;</span>functionality to support multi-species, multi-state, and multi-season data, as well as support for fitting models with random effects.</li><li>For illustration, we present an analysis of Acadian Flycatcher<span>&nbsp;</span><i>Empidonax virescens</i><span>&nbsp;</span>abundance on Roanoke River National Wildlife Refuge, North Carolina, USA, over 18 years. We found that Acadian Flycatcher abundance was initially greater in hardwood plantation habitat relative to bottomland hardwood forest along river levees but that abundance declined over time in both habitats.</li><li>We plan for<span>&nbsp;</span><strong>unmarked</strong><span>&nbsp;</span>development to keep pace with advances in hierarchical modelling in ecology, including better handling of continuous-time data from camera trap and automated recording units and integrated models for multiple data streams.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.14123","usgsCitation":"Kellner, K.F., Smith, A.D., Royle, J., Kéry, M., Belant, J.L., and Chandler, R., 2023, The unmarked R package: Twelve years of advances in occurrence and abundance modelling in ecology: Methods in Ecology & Evolution, v. 14, no. 6, p. 1408-1415, https://doi.org/10.1111/2041-210X.14123.","productDescription":"8 p.","startPage":"1408","endPage":"1415","ipdsId":"IP-148655","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14123","text":"Publisher Index Page"},{"id":418129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Kellner, Kenneth F.","contributorId":310338,"corporation":false,"usgs":false,"family":"Kellner","given":"Kenneth","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":875422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Adam D.","contributorId":310339,"corporation":false,"usgs":false,"family":"Smith","given":"Adam","email":"","middleInitial":"D.","affiliations":[{"id":67145,"text":"US FWS American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":875423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":3504,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":875424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kéry, Marc","contributorId":310340,"corporation":false,"usgs":false,"family":"Kéry","given":"Marc","affiliations":[{"id":67146,"text":"Swiss Ornithological Institute","active":true,"usgs":false}],"preferred":false,"id":875425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":875426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chandler, Richard B.","contributorId":310342,"corporation":false,"usgs":false,"family":"Chandler","given":"Richard B.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":875427,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70245385,"text":"70245385 - 2023 - A comprehensive plan for in-water sea turtle data collection in the US Gulf of Mexico","interactions":[],"lastModifiedDate":"2023-06-22T14:02:40.593461","indexId":"70245385","displayToPublicDate":"2023-06-15T08:55:36","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"A comprehensive plan for in-water sea turtle data collection in the US Gulf of Mexico","docAbstract":"<p>The Deepwater Horizon Open Ocean Trustee Implementation Group (OO TIG) released a Final Open Ocean Restoration Plan 2 in 2019, which included a project titled Developing a Gulf-wide Comprehensive Plan for In-water Sea Turtle Data Collection. This document, A Comprehensive Plan for In-water Sea Turtle Data Collection in the US Gulf of Mexico (Plan), is the culmination of that OO TIG project. This Plan serves as the OO TIG project’s technical report as well as a framework for a biologically and statistically-sound plan to support coordinated in-water sea turtle data collection in the United States (US) Gulf of Mexico (GoM) to determine sea turtle abundance and population trends. </p><p>The purpose of this Plan is to act as a guide for collecting biologically and statistically robust, in-water sea turtle data in a comprehensive, coordinated, and standardized fashion in the US GoM. Several sea turtle in-water monitoring efforts are underway in the GoM; however, additional coordination and standardization of these efforts will benefit current restoration and recovery objectives. These efforts will aid in restoration project design, assess long-term effectiveness of restoration activities, and create abundance and distribution baselines across the GoM. This Plan provides guidance for researchers investigating sea turtle abundance and demographic questions, as well as for management agencies and restoration planners. </p><p>A Steering Committee (SC) was assembled to develop this Plan and to recommend a coordinated approach to the formulation of an improved understanding of sea turtle population baselines in the GoM, from which determination of large-scale population changes, effects of specific threats (e.g., oil spills, anthropogenic hazards), and effects of changes in ocean conditions (e.g., climate change) can later be evaluated. In crafting this guidance, the SC considered species distribution and life history characteristics, spatial and logistical considerations, level of effort required to detect trends, methods available and the pros and cons of each, associated assumptions and biases with suggested monitoring methods, and standardization of data collection. </p><p>Given the current level of data available, the SC has recommended species monitoring in two main phases in neritic and oceanic waters, with additional recommended sampling for surface pelagic drift communities. </p><p>The two phases in this Plan focus on 1) monitoring a limited number of sites in the first 5 to 8 years, followed by 2) a refined monitoring design. To support implementation of this Plan, the SC also considered broader programmatic needs, including supplemental data collection, program and data management, potential international partnerships, program expansion, and applications including future technology.</p>","language":"English","publisher":"National Oceanic and Atmospheric Administration","usgsCitation":"NOAA, Department of the Interior, Hart, K., Plotkin, P.T., Sasso, C., and Witherington, B.E., 2023, A comprehensive plan for in-water sea turtle data collection in the US Gulf of Mexico, v, 69 p.","productDescription":"v, 69 p.","ipdsId":"IP-152105","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":418360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418340,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.gulfspillrestoration.noaa.gov/sites/default/files/In-Water%20Sea%20Turtle%20Plan_FINAL_v2.pdf"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -86.5264253558096,\n              30.24489967358521\n            ],\n            [\n              -86.64298031887166,\n              30.53597189734414\n            ],\n            [\n              -88.10641276491391,\n              30.749707588041076\n            ],\n            [\n              -89.79330787057165,\n              30.154537825734877\n            ],\n            [\n              -90.08670236321969,\n              29.96433178516294\n            ],\n            [\n              -90.79587522647664,\n              29.472155439209743\n            ],\n            [\n              -91.18028281506544,\n              29.819820106118726\n            ],\n            [\n              -91.98695954730219,\n              30.005352165065304\n            ],\n            [\n              -93.39181791789512,\n              30.19566964652458\n            ],\n            [\n              -95.05441013086163,\n              29.88977578604954\n            ],\n            [\n              -96.86686746427104,\n              28.69085626965058\n            ],\n            [\n              -97.70099252595101,\n              27.766320123817778\n            ],\n            [\n              -97.87263263903903,\n              27.175400696917563\n            ],\n            [\n              -97.38684906161815,\n              25.941789648432064\n            ],\n            [\n              -93.94956884192511,\n              25.988756403609997\n            ],\n            [\n              -87.10787230454817,\n              26.888051400543716\n            ],\n            [\n              -85.9227099016574,\n              29.639041703135902\n            ],\n            [\n              -86.5264253558096,\n              30.24489967358521\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"NOAA","contributorId":257934,"corporation":true,"usgs":false,"organization":"NOAA","id":876026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Department of the Interior","contributorId":128058,"corporation":true,"usgs":false,"organization":"Department of the Interior","id":876027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":222407,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":875942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plotkin, Pamela T.","contributorId":200818,"corporation":false,"usgs":false,"family":"Plotkin","given":"Pamela","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":876028,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sasso, Christopher","contributorId":209797,"corporation":false,"usgs":false,"family":"Sasso","given":"Christopher","affiliations":[{"id":37992,"text":"NOAA, National Marine Fisheries Service, Southeast Fisheries Science Center, Miami, FL, USA 33149","active":true,"usgs":false}],"preferred":false,"id":876029,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Witherington, Blair E.","contributorId":60117,"corporation":false,"usgs":true,"family":"Witherington","given":"Blair","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":876030,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70245102,"text":"70245102 - 2023 - Implications of tree expansion in shrubland ecosystems for two generalist avian predators","interactions":[],"lastModifiedDate":"2023-06-15T13:58:45.922001","indexId":"70245102","displayToPublicDate":"2023-06-15T08:50:06","publicationYear":"2023","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":"Implications of tree expansion in shrubland ecosystems for two generalist avian predators","docAbstract":"<p><span>Shrublands globally have undergone structural changes due to plant invasions, including the expansion of native trees. Removal of native conifer trees, especially juniper (</span><i>Juniperus spp</i><span>.), is occurring across the Great Basin of the western U.S. to support declining sagebrush (</span><i>Artemisia</i><span>&nbsp;spp.) habitats and associated wildlife species, such as greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>). One justification for conifer removal is that it may improve survival of sagebrush-associated wildlife by reducing the abundance of avian predators. However, the relationship between conifer expansion and predator distributions has not been explicitly evaluated. Further, although structural characteristics of habitat are important for generalist predators, overall prey abundance may also affect habitat use by predators. We examined habitat use of common ravens (</span><i>Corvus corax</i><span>) and red-tailed hawks (</span><i>Buteo jamaicensis</i><span>), two generalist predators whose populations are increasing in western North America, to variation in structural characteristics and prey distributions in sagebrush habitat that has experienced conifer expansion. Structural characteristics of habitat were important predictors of habitat use for both ravens and red-tailed hawks, whereas measures of prey abundance were unimportant for both species likely because generalist predators can use a wide variety of food resources. Ravens, but not red-tailed hawks, responded positively to increasing cover of juniper and the probability of habitat use was highest (&gt; 0.95) where juniper cover within 100 m was &gt; 20%. Habitat use by red-tailed hawks, but not ravens, was greater near cliffs but was not associated with juniper cover. Our study suggests that the removal of conifer in similar environments may lower the probability of habitat use for ravens, a common predator with significant impacts on many prey species. Therefore, we suggest conifer removal may improve sage-grouse reproductive success and survival depending on responses to conifer removal from other predators. Our results may be reflective of similar changes in rangeland ecosystems around the world undergoing expansion of conifer and other woody vegetation. Though species identities differ from sagebrush habitats, generalist avian predators in other habitats may have similar relationships with structural resources.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0286478","usgsCitation":"Young, A.C., Katzner, T., Shinneman, D.J., and Johnson, T.N., 2023, Implications of tree expansion in shrubland ecosystems for two generalist avian predators: PLoS ONE, v. 18, no. 6, e0286478, 19 p., https://doi.org/10.1371/journal.pone.0286478.","productDescription":"e0286478, 19 p.","ipdsId":"IP-138528","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":443070,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0286478","text":"Publisher Index Page"},{"id":418128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Great Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.5173530797766,\n              42.071580753595896\n            ],\n            [\n              -115.5173530797766,\n              43.20939209273595\n            ],\n            [\n              -116.98604075296564,\n              43.20939209273595\n            ],\n            [\n              -116.98604075296564,\n              42.071580753595896\n            ],\n            [\n              -115.5173530797766,\n              42.071580753595896\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"18","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Aaron C. 0000-0002-7577-4081","orcid":"https://orcid.org/0000-0002-7577-4081","contributorId":306196,"corporation":false,"usgs":false,"family":"Young","given":"Aaron","email":"","middleInitial":"C.","affiliations":[{"id":33345,"text":" University of Idaho","active":true,"usgs":false}],"preferred":false,"id":875476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":875477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":875478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Tracey N. 0000-0003-3480-8596","orcid":"https://orcid.org/0000-0003-3480-8596","contributorId":223735,"corporation":false,"usgs":false,"family":"Johnson","given":"Tracey","email":"","middleInitial":"N.","affiliations":[{"id":40761,"text":"Department of Fish and Wildlife Sciences, University of Idaho, Moscow, ID 83844","active":true,"usgs":false}],"preferred":false,"id":875479,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70245111,"text":"70245111 - 2023 - Prevailing impacts of river management on microplastic transport in contrasting US streams: Rethinking global microplastic flux estimations","interactions":[],"lastModifiedDate":"2023-06-15T13:36:24.536766","indexId":"70245111","displayToPublicDate":"2023-06-15T08:31:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Prevailing impacts of river management on microplastic transport in contrasting US streams: Rethinking global microplastic flux estimations","docAbstract":"<p><span>While microplastic inputs into rivers are assumed to be correlated with anthropogenic activities and to accumulate towards the sea, the impacts of water management on downstream microplastic transport are largely unexplored. A comparative study of microplastic abundance in Boulder Creek (BC), and its less urbanized tributary South Boulder Creek (SBC), (Colorado USA), characterized the downstream evolution of microplastics in surface water and sediments, evaluating the effects of urbanization and flow diversions on the up-to-downstream profiles of microplastic concentrations and loads. Water and sediment samples were collected from 21 locations along both rivers and microplastic properties determined by fluorescence microscopy and Raman spectroscopy. The degree of catchment urbanization affected microplastic patterns, as evidenced by greater water and sediment concentrations and loads in BC than the less densely populated SBC, which is consistent with the differences in the degree of urbanization between both catchments. Microplastic removal through flow diversions was quantified, showing that water diversions removed over 500 microplastic particles per second from the river, and caused stepwise reductions of downstream loads at diversion points. This redistribution of microplastics back into the catchment should be considered in large scale models quantifying plastic fate and transport to the oceans.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/J.WATRES.2023.120112","usgsCitation":"Kukkola, A., Runkel, R.L., Schneidewind, U., Murphy, S.F., Kelleher, L., Sambrook Smith, G., Nel, H.A., Lynch, I., and Krause, S., 2023, Prevailing impacts of river management on microplastic transport in contrasting US streams: Rethinking global microplastic flux estimations: Water Research, v. 240, 120112, 10 p., https://doi.org/10.1016/J.WATRES.2023.120112.","productDescription":"120112, 10 p.","ipdsId":"IP-147093","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":443073,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2023.120112","text":"Publisher Index Page"},{"id":418126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Boulder","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.1504297135603,\n              40.115588476293226\n            ],\n            [\n              -105.63031730072807,\n              40.115588476293226\n            ],\n            [\n              -105.63031730072807,\n              39.81898339885757\n            ],\n            [\n              -105.1504297135603,\n              39.81898339885757\n            ],\n            [\n              -105.1504297135603,\n              40.115588476293226\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"240","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kukkola, Anna","contributorId":310394,"corporation":false,"usgs":false,"family":"Kukkola","given":"Anna","email":"","affiliations":[{"id":7157,"text":"University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":875534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":875535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneidewind, Uwe","contributorId":310395,"corporation":false,"usgs":false,"family":"Schneidewind","given":"Uwe","email":"","affiliations":[{"id":7157,"text":"University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":875536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - 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,{"id":70245097,"text":"70245097 - 2023 - Reconnaissance survey for potential energy storage and carbon dioxide storage resources of petroleum reservoirs in western Europe","interactions":[],"lastModifiedDate":"2023-07-11T16:10:22.582031","indexId":"70245097","displayToPublicDate":"2023-06-15T07:57:58","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Reconnaissance survey for potential energy storage and carbon dioxide storage resources of petroleum reservoirs in western Europe","docAbstract":"<p><span>Energy producers and utilities use oil and gas reservoirs for gas storage to meet peak seasonal demand or to supplement intermittent energy production. These reservoirs are also suitable for the long-term storage of carbon dioxide (CO</span><sub>2</sub><span>), a greenhouse gas. This study reports on a reconnaissance analysis of the potential magnitude of storage resources in 9424 known oil and gas reservoirs from 24 countries within highly industrialized western Europe. To standardize the storage resources of the oil and gas reservoirs, their volumetric capacity is expressed in terms of metric tons (mass) of CO</span><sub>2</sub><span>. Estimates of recoverable oil and gas at the surface are converted to subsurface volumes and then converted to the equivalent mass of CO</span><sub>2</sub><span>&nbsp;at reservoir conditions. The results indicate 36.7 gigatons of CO</span><sub>2</sub><span>&nbsp;could be stored, with oil reservoirs accounting for 32% of that total and natural gas reservoirs comprising the remaining 68%. About four-fifths of the reservoir storage resource is offshore, with about three-fourths of that offshore resource at water depths of 200&nbsp;m or less. Most countries do not have the reservoir storage resources to store 15&nbsp;years of CO</span><sub>2</sub><span>&nbsp;at 2017 emission levels. With few exceptions the bulk of the storage is offshore for countries that do have at least 15&nbsp;years of storage. The expansion of natural gas storage for strategic purposes in abandoned onshore gas reservoirs is not expected to seriously impact CO</span><sub>2</sub><span>&nbsp;storage. The contribution of this analysis is the description of the spatial distribution of potential storage and physical accessibility.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11053-023-10218-z","usgsCitation":"Attanasi, E., and Freeman, P., 2023, Reconnaissance survey for potential energy storage and carbon dioxide storage resources of petroleum reservoirs in western Europe: Natural Resources Research, v. 32, p. 1839-1858, https://doi.org/10.1007/s11053-023-10218-z.","productDescription":"20 p.","startPage":"1839","endPage":"1858","ipdsId":"IP-148007","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":443075,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11053-023-10218-z","text":"Publisher Index 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,{"id":70245106,"text":"70245106 - 2023 - Dynamic spatiotemporal modeling of a habitat-defining plant species to support wildlife management at regional scales","interactions":[],"lastModifiedDate":"2023-06-15T12:49:53.730514","indexId":"70245106","displayToPublicDate":"2023-06-15T07:32:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic spatiotemporal modeling of a habitat-defining plant species to support wildlife management at regional scales","docAbstract":"<p><span>Sagebrush (</span><i>Artemisia</i><span>&nbsp;spp.) ecosystems provide critical habitat for the Greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>), a species of conservation concern. Thus, future loss of sagebrush habitat because of land use change and global climate change is of concern. Here, we use a dynamic additive spatiotemporal model to estimate the effects of climate on sagebrush cover dynamics at 32 sage-grouse management (core) areas in Wyoming. We use the fitted models to quantify the sensitivity of each management area to precipitation and temperature, and to make probabilistic projections of sagebrush cover from present to 2100 under three climate change scenarios. Global circulation models predict an increase in temperature and no change in precipitation for Wyoming. Sensitivity to climate varied among management areas, but the most common response (70% of management areas) was a positive effect of temperature on sagebrush performance. The combination of positive sensitivity to temperature and the predicted increase in temperature under all climate change scenarios resulted in projections of increased sagebrush cover for most management areas. We characterized management areas as “optimal” or “suboptimal” based on the percentage of grid cells in each management area with sagebrush cover exceeding a nesting habitat target value. Only 18% of management areas are projected to switch from being currently optimal to suboptimal in the future. Thirty-five percent of management areas are projected to switch from being suboptimal to optimal. The most common outcome (47%) was for currently suboptimal management areas to remain suboptimal, even though average cover tended to increase in those areas. The direct effects of climate change appear to favor sagebrush performance in the future for most sage-grouse core areas in Wyoming. Our approach is broadly applicable to quantitative climate change assessments where remotely sensed estimates of habitat-defining vegetation are available.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4534","usgsCitation":"Tredennick, A.T., Monroe, A., Prebyl, T.J., Lombardi, J., and Aldridge, C.L., 2023, Dynamic spatiotemporal modeling of a habitat-defining plant species to support wildlife management at regional scales: Ecosphere, v. 14, no. 6, e4534, 20 p., https://doi.org/10.1002/ecs2.4534.","productDescription":"e4534, 20 p.","ipdsId":"IP-149244","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":443078,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4534","text":"Publisher Index Page"},{"id":435286,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G58V48","text":"USGS data release","linkHelpText":"Sagebrush projections for greater sage-grouse core areas in Wyoming, USA, 2018-2100"},{"id":418123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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