{"pageNumber":"289","pageRowStart":"7200","pageSize":"25","recordCount":165309,"records":[{"id":70248367,"text":"70248367 - 2023 - Genetic diversity and IUCN Red List status","interactions":[],"lastModifiedDate":"2023-09-11T12:05:49.416745","indexId":"70248367","displayToPublicDate":"2023-02-08T07:03:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Genetic diversity and IUCN Red List status","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>The International Union for Conservation of Nature (IUCN) Red List is an important and widely used tool for conservation assessment. The IUCN uses information about a species’ range, population size, habitat quality and fragmentation levels, and trends in abundance to assess extinction risk. Genetic diversity is not considered, although it affects extinction risk. Declining populations are more strongly affected by genetic drift and higher rates of inbreeding, which can reduce the efficiency of selection, lead to fitness declines, and hinder species’ capacities to adapt to environmental change. Given the importance of conserving genetic diversity, attempts have been made to find relationships between red-list status and genetic diversity. Yet, there is still no consensus on whether genetic diversity is captured by the current IUCN Red List categories in a way that is informative for conservation. To assess the predictive power of correlations between genetic diversity and IUCN Red List status in vertebrates, we synthesized previous work and reanalyzed data sets based on 3&nbsp;types of genetic data: mitochondrial DNA, microsatellites, and whole genomes. Consistent with previous work, species with higher extinction risk status tended to have lower genetic diversity for all marker types, but these relationships were weak and varied across taxa. Regardless of marker type, genetic diversity did not accurately identify threatened species for any taxonomic group. Our results indicate that red-list status is not a useful metric for informing species-specific decisions about the protection of genetic diversity and that genetic data cannot be used to identify threat status in the absence of demographic data. Thus, there is a need to develop and assess metrics specifically designed to assess genetic diversity and inform conservation policy, including policies recently adopted by the UN's Convention on Biological Diversity Kunming-Montreal Global Biodiversity Framework.</p></div></div>","language":"English","publisher":"The Society for Conservation Biology","doi":"10.1111/cobi.14064","usgsCitation":"Schmidt, C., Hoban, S.M., Hunter, M., Paz-Vinas, I., and Garroway, C.J., 2023, Genetic diversity and IUCN Red List status: Conservation Biology, v. 37, no. 4, e14064, 10 p., https://doi.org/10.1111/cobi.14064.","productDescription":"e14064, 10 p.","ipdsId":"IP-140674","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444531,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.14064","text":"Publisher Index Page"},{"id":420698,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Chloe","contributorId":329610,"corporation":false,"usgs":false,"family":"Schmidt","given":"Chloe","affiliations":[{"id":62676,"text":"Department of Ecology and Evolutionary Biology, Yale University","active":true,"usgs":false}],"preferred":false,"id":882710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoban, Sean M. 0000-0002-0348-8449","orcid":"https://orcid.org/0000-0002-0348-8449","contributorId":206582,"corporation":false,"usgs":false,"family":"Hoban","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":882711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214958,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":882712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paz-Vinas, Ivan","contributorId":239614,"corporation":false,"usgs":false,"family":"Paz-Vinas","given":"Ivan","email":"","affiliations":[{"id":47934,"text":"Laboratoire Ecologie Fonctionnelle et Environnement, Université de Toulouse","active":true,"usgs":false}],"preferred":false,"id":882713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garroway, Colin J.","contributorId":329611,"corporation":false,"usgs":false,"family":"Garroway","given":"Colin","email":"","middleInitial":"J.","affiliations":[{"id":78674,"text":"Department of Biological Sciences, University of Manitoba, Canada","active":true,"usgs":false}],"preferred":false,"id":882714,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240672,"text":"70240672 - 2023 - eDNA Metabarcoding Analyses of Diet in Yellow-Billed Loons of Northern Alaska","interactions":[],"lastModifiedDate":"2023-02-14T13:02:06.372886","indexId":"70240672","displayToPublicDate":"2023-02-08T06:57:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"eDNA Metabarcoding Analyses of Diet in Yellow-Billed Loons of Northern Alaska","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">Environmental DNA is a burgeoning tool used to address wide-ranging scientific questions, including determining diets of difficult-to-sample predators. Loons are large piscivorous diving birds that capture and consume prey underwater, making it nearly impossible to visually determine their diet via observation alone. Identifying species' diets is important for understanding basic life history traits, and revealing key prey species can clarify species' roles in complex trophic webs, aid in understanding population and community dynamics, and help identify critical habitat for protection. Current information about loon diet is largely anecdotal, and traditional non-observational methods for quantifying loon diet have limitations. Analysis of eDNA from loon feces may provide biologists with a non-invasive technique for determining diet without negative sampling effects, and with increased resolution as compared to other techniques. We surveyed lakes in two areas of northern Alaska for Yellow-billed Loons (<i>Gavia adamsii</i>). Loon fecal samples were collected opportunistically from latrine sites without disturbing any animals and analyzed using novel marker sets to determine loon species and diet. Fish species were detected in all fecal samples, the most common being Alaska blackfish (<i>Dallia pectoralis</i>), and ninespine stickleback (<i>Pungitius pungitius</i>). This research demonstrates that eDNA metabarcoding analyses of loon fecal samples can determine the specific loon species that deposited the feces and characterize the piscine portion of their diet with limited disturbance to the animals.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.1675/063.045.0206","usgsCitation":"Menning, D.M., Uher-Koch, B.D., Flamme, M.J., Simmons, T., Schmutz, J., and Talbot, S., 2023, eDNA Metabarcoding Analyses of Diet in Yellow-Billed Loons of Northern Alaska: Waterbirds, v. 45, no. 2, p. 159-166, https://doi.org/10.1675/063.045.0206.","productDescription":"8 p.","startPage":"159","endPage":"166","ipdsId":"IP-120624","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":435462,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VMYY4J","text":"USGS data release","linkHelpText":"Gavia Species Identification and Diet Composition from Feces, Central North Slope, Alaska, 2012-2014"},{"id":413042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -158.06202980568528,\n              71.43299923512149\n            ],\n            [\n              -158.06202980568528,\n              69.63367046649975\n            ],\n            [\n              -150.7702046250785,\n              69.63367046649975\n            ],\n            [\n              -150.7702046250785,\n              71.43299923512149\n            ],\n            [\n              -158.06202980568528,\n              71.43299923512149\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"45","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Menning, Damian M. 0000-0003-3547-3062 dmenning@usgs.gov","orcid":"https://orcid.org/0000-0003-3547-3062","contributorId":205131,"corporation":false,"usgs":true,"family":"Menning","given":"Damian","email":"dmenning@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":864230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":864231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flamme, Melanie J.","contributorId":200585,"corporation":false,"usgs":false,"family":"Flamme","given":"Melanie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":864232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simmons, Trey","contributorId":211686,"corporation":false,"usgs":false,"family":"Simmons","given":"Trey","email":"","affiliations":[],"preferred":false,"id":864233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmutz, Joel 0000-0002-6516-0836","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":264776,"corporation":false,"usgs":false,"family":"Schmutz","given":"Joel","affiliations":[{"id":54549,"text":"retired from USGS Alaska Science Center","active":true,"usgs":false}],"preferred":false,"id":864234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Talbot, Sandra","contributorId":291357,"corporation":false,"usgs":false,"family":"Talbot","given":"Sandra","affiliations":[{"id":40349,"text":"USGS Alaska Science Center (former employee)","active":true,"usgs":false}],"preferred":false,"id":864235,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70240635,"text":"70240635 - 2023 - Mapping ancient sedimentary organic matter molecular structure at nanoscales using optical photothermal infrared spectroscopy","interactions":[],"lastModifiedDate":"2023-02-10T12:50:55.509649","indexId":"70240635","displayToPublicDate":"2023-02-08T06:47:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Mapping ancient sedimentary organic matter molecular structure at nanoscales using optical photothermal infrared spectroscopy","docAbstract":"<p id=\"sp0010\">Elucidating the molecular structure of sedimentary organic matter (SOM) is key to understanding petroleum generation processes, as well as ancient sedimentary environments. SOM structure is primarily controlled by biogenic source material (e.g., marine vs. terrigenous), depositional conditions, and subsurface thermal history. Additional factors, e.g., strain, may also impact the molecular structure of SOM. Multiple spatially resolved approaches exist for in situ evaluation of SOM, including Raman and infrared spectroscopies, as well as mass spectrometric methods. While these methods have enabled increased understanding of the occurrence and distribution of SOM functional groups, they suffer from disadvantages including low spatial resolution (infrared spectroscopy), limited molecular information (Raman spectroscopy), and sample destruction (mass spectrometric methods). Recent technological advances have resulted in infrared spectrometers capable of breaking the Abbe diffraction limit, greatly increasing the spatial resolutions accessible for an infrared measurement.</p><p id=\"sp0015\">Here we utilize optical photothermal infrared spectroscopy (O-PTIR) to record maps of functional group distributions at 500 nm spatial resolution in<span>&nbsp;</span><i>Tasmanites</i><span>&nbsp;</span>(algal microfossils) from the Upper Devonian Ohio Shale. These data allow for discrimination between<span>&nbsp;</span><i>Tasmanites</i>, adjacent SOM, and fine-grained minerals. Additionally, functional group distributions within<span>&nbsp;</span><i>Tasmanites</i><span>&nbsp;</span>were found to be generally homogenous, although slight variations exist between the body and fold apices (zones of greatest deformation) which may indicate strain-induced chemical reactions. The data presented here represent the first application of O-PTIR to study SOM, highlighting the promise of this analytical approach for future studies evaluating the molecular composition of geologic materials at sub-micron scales.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.orggeochem.2023.104569","usgsCitation":"Jubb, A., Stokes, M., McAleer, R.J., Hackley, P.C., Dillion, E., and Qu, J., 2023, Mapping ancient sedimentary organic matter molecular structure at nanoscales using optical photothermal infrared spectroscopy: Organic Geochemistry, v. 177, 104569, 9 p., https://doi.org/10.1016/j.orggeochem.2023.104569.","productDescription":"104569, 9 p.","ipdsId":"IP-140733","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":444534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.orggeochem.2023.104569","text":"Publisher Index Page"},{"id":412936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"177","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":864038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stokes, Martha 0000-0002-2838-8380","orcid":"https://orcid.org/0000-0002-2838-8380","contributorId":269608,"corporation":false,"usgs":true,"family":"Stokes","given":"Martha","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":864040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":864041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":864039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dillion, Eoghan","contributorId":302334,"corporation":false,"usgs":false,"family":"Dillion","given":"Eoghan","email":"","affiliations":[{"id":65459,"text":"Photothermal Spectroscopy Corporation","active":true,"usgs":false}],"preferred":false,"id":864043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Qu, Jing","contributorId":242671,"corporation":false,"usgs":false,"family":"Qu","given":"Jing","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":864042,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250259,"text":"70250259 - 2023 - Declines in body size of sockeye salmon associated with increased competition in the ocean","interactions":[],"lastModifiedDate":"2023-11-30T12:40:47.734268","indexId":"70250259","displayToPublicDate":"2023-02-08T06:36:23","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"Declines in body size of sockeye salmon associated with increased competition in the ocean","docAbstract":"Declining body sizes have been documented for several species of Pacific salmon; however, whether size declines are caused mainly by ocean warming or other ecological factors, and whether they result primarily from trends in age at maturation or changing growth rates remain poorly understood. We quantified changes in mean body size and contributions from shifting size-at-age and age structure of mature sockeye salmon returning to Bristol Bay, Alaska, over the past 60 years. Mean length declined by 3%, corresponding to a 10% decline in mean body mass, since the early 1960s, though much of this decline occurred since the early 2000s. Changes in size-at-age were the dominant cause of body size declines and were more consistent than trends in age structure among the major rivers that flow into Bristol Bay. Annual variation in size-at-age was largely explained by competition among Bristol Bay sockeye salmon and interspecific competition with other salmon in the North Pacific Ocean. Warm winters were associated with better growth of sockeye salmon, whereas warm summers were associated with reduced growth. Our findings point to competition at sea as the main driver of sockeye salmon size declines, and emphasize the trade-off between fish abundance and body size.","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2022.2248","usgsCitation":"Ohlberger, J., Cline, T.J., Schindler, D., and Lewis, B., 2023, Declines in body size of sockeye salmon associated with increased competition in the ocean: Proceedings of the Royal Society B, v. 290, 20222248, 11 p., https://doi.org/10.1098/rspb.2022.2248.","productDescription":"20222248, 11 p.","ipdsId":"IP-141416","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":444539,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2022.2248","text":"Publisher Index Page"},{"id":423084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bristol Bay region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -161.69630706616215,\n              59.420798704014004\n            ],\n            [\n              -161.69630706616215,\n              56.31443387551198\n            ],\n            [\n              -155.6757992536623,\n              56.31443387551198\n            ],\n            [\n              -155.6757992536623,\n              59.420798704014004\n            ],\n            [\n              -161.69630706616215,\n              59.420798704014004\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"290","noUsgsAuthors":false,"publicationDate":"2023-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Ohlberger, Jan","contributorId":331939,"corporation":false,"usgs":false,"family":"Ohlberger","given":"Jan","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":889123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cline, Timothy Joseph 0000-0002-4955-654X","orcid":"https://orcid.org/0000-0002-4955-654X","contributorId":228871,"corporation":false,"usgs":true,"family":"Cline","given":"Timothy","email":"","middleInitial":"Joseph","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":889124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schindler, Daniel","contributorId":331940,"corporation":false,"usgs":false,"family":"Schindler","given":"Daniel","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":889125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Bert","contributorId":331941,"corporation":false,"usgs":false,"family":"Lewis","given":"Bert","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":889126,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70240663,"text":"70240663 - 2023 - The Volcanic Hazard Maps Database: An initiative of the IAVCEI Commission on Volcanic Hazards and Risk","interactions":[],"lastModifiedDate":"2023-02-13T12:31:58.70134","indexId":"70240663","displayToPublicDate":"2023-02-08T06:30:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3841,"text":"Journal of Applied Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"The Volcanic Hazard Maps Database: An initiative of the IAVCEI Commission on Volcanic Hazards and Risk","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section c-article-content-visibility\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>In this work we present the International Association of Volcanology and Chemistry of the Earth’s Interior (IAVCEI) Commission on Volcanic Hazards and Risk (CVHR) Volcanic Hazard Maps Database and the accompanying volcanichazardmaps.org website. Using input from a series of IAVCEI CVHR Working Group on Hazard Mapping workshops, we developed a classification scheme and terminology framework for categorizing, discussing, naming, and searching for hazard maps. ≥ The database and website aim to serve as a resource for the volcanology community to explore how different aspects of hazard map development and design have been addressed in different countries, for different hazard processes, and for different intended purposes and audiences. Additionally, they act as a tool for presenting hazard map options to stakeholder groups and serve as a learning resource that can be incorporated into educational materials and training courses. In this work, we present the database and website, discuss the classification scheme, explore the enormous diversity of hazard maps, and suggest ways that the database and website can be used by the volcanic hazard mapping community.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1186/s13617-022-00128-9","usgsCitation":"Ogburn, S.E., Charlton, D., Norgaard, D., Wright, H.M., Calder, E.S., Lindsay, J., Ewert, J., Takarada, S., and Tajima, Y., 2023, The Volcanic Hazard Maps Database: An initiative of the IAVCEI Commission on Volcanic Hazards and Risk: Journal of Applied Volcanology, v. 12, no. 2, 25 p., https://doi.org/10.1186/s13617-022-00128-9.","productDescription":"25 p.","ipdsId":"IP-144781","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":444541,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13617-022-00128-9","text":"Publisher Index Page"},{"id":412982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Ogburn, Sarah E. 0000-0002-4734-2118","orcid":"https://orcid.org/0000-0002-4734-2118","contributorId":204751,"corporation":false,"usgs":true,"family":"Ogburn","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":864181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Charlton, Danielle 0000-0002-7837-514X","orcid":"https://orcid.org/0000-0002-7837-514X","contributorId":302366,"corporation":false,"usgs":false,"family":"Charlton","given":"Danielle","email":"","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":864182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norgaard, Diana 0000-0003-2626-3055","orcid":"https://orcid.org/0000-0003-2626-3055","contributorId":302367,"corporation":false,"usgs":false,"family":"Norgaard","given":"Diana","email":"","affiliations":[{"id":65465,"text":"formerly Volcano Science Center","active":true,"usgs":false}],"preferred":false,"id":864183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Heather M. 0000-0001-9013-507X hwright@usgs.gov","orcid":"https://orcid.org/0000-0001-9013-507X","contributorId":3949,"corporation":false,"usgs":true,"family":"Wright","given":"Heather","email":"hwright@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":864184,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calder, Eliza S. 0000-0002-1644-2087","orcid":"https://orcid.org/0000-0002-1644-2087","contributorId":302368,"corporation":false,"usgs":false,"family":"Calder","given":"Eliza","email":"","middleInitial":"S.","affiliations":[{"id":25497,"text":"University of Edinburgh","active":true,"usgs":false}],"preferred":false,"id":864185,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lindsay, Jan 0000-0002-8591-3399","orcid":"https://orcid.org/0000-0002-8591-3399","contributorId":302369,"corporation":false,"usgs":false,"family":"Lindsay","given":"Jan","email":"","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":864186,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ewert, John W. 0000-0003-2819-4057","orcid":"https://orcid.org/0000-0003-2819-4057","contributorId":204745,"corporation":false,"usgs":true,"family":"Ewert","given":"John W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":864187,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Takarada, Shinji 0000-0003-0284-4293","orcid":"https://orcid.org/0000-0003-0284-4293","contributorId":302370,"corporation":false,"usgs":false,"family":"Takarada","given":"Shinji","email":"","affiliations":[{"id":27746,"text":"Geological Survey of Japan","active":true,"usgs":false}],"preferred":false,"id":864188,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tajima, Yasuhisa 0000-0002-1432-516X","orcid":"https://orcid.org/0000-0002-1432-516X","contributorId":302371,"corporation":false,"usgs":false,"family":"Tajima","given":"Yasuhisa","email":"","affiliations":[{"id":65466,"text":"Nippon Koei Co., Ltd","active":true,"usgs":false}],"preferred":false,"id":864189,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70243870,"text":"70243870 - 2023 - Applications of nonergodic site response models to ShakeAlert case studies in the Los Angeles area","interactions":[],"lastModifiedDate":"2023-05-24T18:23:58.93677","indexId":"70243870","displayToPublicDate":"2023-02-07T13:15:28","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Applications of nonergodic site response models to ShakeAlert case studies in the Los Angeles area","docAbstract":"<p><span>In this study, we explore whether the&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf29\">Parker and Baltay (2022)</a><span>&nbsp;site response models for the Los Angeles (LA) basin region can improve ground‐motion forecasts in the U.S. Geological Survey ShakeAlert earthquake early warning system (hereafter ShakeAlert). We implement the peak ground acceleration and peak ground velocity site response models of&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf29\">Parker and Baltay (2022)</a><span>&nbsp;in ShakeAlert via the earthquake information to ground‐motion (hereafter eqinfo2GM) module, which predicts ground motions from the estimated earthquake parameters of magnitude, rupture length, and location. The nonergodic site response models for the greater LA area were developed using ground motions from 414&nbsp;</span><strong>M</strong><span>&nbsp;3–7.3 earthquakes in southern California. We test nonergodic ground‐motion forecasts for five earthquakes in the LA area: the 1994&nbsp;</span><strong>M</strong><span>&nbsp;6.7 Northridge earthquake, the 2008&nbsp;</span><strong>M</strong><span>&nbsp;5.4 Chino Hills earthquake, the 2019&nbsp;</span><strong>M</strong><span>&nbsp;7.1 Ridgecrest earthquake, the 2020&nbsp;</span><strong>M</strong><span>&nbsp;4.5 South El Monte earthquake, and a synthetic&nbsp;</span><strong>M</strong><span>&nbsp;7.8 earthquake on the southern San Andreas fault from the ShakeOut scenario, which was the basis of a statewide emergency response exercise. From the test results, we find that with the nonergodic site response applied, ShakeAlert not only alerts larger areas but can also result in longer warning times in LA region. In addition, the modified Mercalli intensity (MMI) ground‐motion predictions generated by the ShakeAlert eqinfo2GM module are improved in accuracy when compared with the corresponding ShakeMap ground‐truth MMI when the nonergodic site response model is applied.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120220145","usgsCitation":"Lin, R., Parker, G.A., McGuire, J., and Baltay Sundstrom, A.S., 2023, Applications of nonergodic site response models to ShakeAlert case studies in the Los Angeles area: Bulletin of the Seismological Society of America, v. 113, no. 3, p. 1324-1343, https://doi.org/10.1785/0120220145.","productDescription":"20 p.","startPage":"1324","endPage":"1343","ipdsId":"IP-142361","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":417403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.38078299074152,\n              34.43090673360663\n            ],\n            [\n              -119.38078299074152,\n              33.385811767084306\n            ],\n            [\n              -116.79288709511383,\n              33.385811767084306\n            ],\n            [\n              -116.79288709511383,\n              34.43090673360663\n            ],\n            [\n              -119.38078299074152,\n              34.43090673360663\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"113","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Lin, Rongrong 0000-0002-6234-2183","orcid":"https://orcid.org/0000-0002-6234-2183","contributorId":305696,"corporation":false,"usgs":true,"family":"Lin","given":"Rongrong","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":873570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":873571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":219786,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":873572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":873573,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70240218,"text":"sim3501 - 2023 - Colored shaded-relief bathymetric map and orthomosaic from structure-from-motion quantitative underwater imaging device with five cameras of the Lake Tahoe floor, California","interactions":[],"lastModifiedDate":"2026-02-19T17:50:10.38879","indexId":"sim3501","displayToPublicDate":"2023-02-07T12:49:09","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":"3501","displayTitle":"Colored Shaded-Relief Bathymetric Map and Orthomosaic from Structure-from-Motion Quantitative Underwater Imaging Device with Five Cameras of the Lake Tahoe Floor, California","title":"Colored shaded-relief bathymetric map and orthomosaic from structure-from-motion quantitative underwater imaging device with five cameras of the Lake Tahoe floor, California","docAbstract":"<p>This two-sheet publication displays a high-resolution colored shaded-relief bathymetric map (sheet 1) and orthomosaic (sheet 2) of part of the Lake Tahoe floor in California generated from a U.S. Geological Survey towed surface vehicle with multiple downward-looking underwater cameras. The system is named the Structure-from-Motion Quantitative Underwater Imaging Device with Five Cameras (SQUID-5). The cameras were synchronized with each other and with a survey-grade Global Navigation Satellite System. A total of 42,939 photographs were collected with nearly complete overlapping coverage of an area approximately 250 meters by 250 meters. A digital terrain model and an orthomosaic were generated from the overlapping photographs using Structure-from-Motion and photogrammetry techniques. Gaps are present in the bathymetry data owing to data-collection or -processing artifacts. These two sheets display the very fine details of the lake floor mapped using SQUID-5.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3501","usgsCitation":"Hatcher, G.A., Warrick, J.A., and Dartnell, P., 2022, Colored shaded-relief bathymetric map and orthomosaic from structure-from-motion quantitative underwater imaging device with five cameras of the Lake Tahoe floor, California: U.S. Geological Survey Scientific Investigations Map 3501, 2 sheets, scale 1:700, https://doi.org/10.3133/sim3501.","productDescription":"2 Sheets: 35.00 × 34.00 inches; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-139653","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":412576,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9934I6U","text":"USGS data release","description":"USGS data release","linkHelpText":"Point clouds, bathymetric maps, and orthoimagery generated from overlapping lakebed images acquired with the SQUID-5 system near Dollar Point, Lake Tahoe, CA, March 2021"},{"id":412577,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V44ZYS","text":"USGS data release","description":"USGS data release","linkHelpText":"Overlapping lakebed images and associated GNSS locations acquired near Dollar Point, Lake Tahoe, CA, March 2021"},{"id":412573,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3501/coverthb.jpg"},{"id":412574,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3501/sim3501_sheet1.pdf","text":"Sheet 1","size":"11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3501 Sheet 1"},{"id":412575,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3501/sim3501_sheet2.pdf","text":"Sheet 2","size":"11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3501 Sheet 2"},{"id":500207,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114342.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Lake Tahoe","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.23690229714447,\n              39.300192154621016\n            ],\n            [\n              -120.23690229714447,\n              38.87400239989947\n            ],\n            [\n              -119.8635257065711,\n              38.87400239989947\n            ],\n            [\n              -119.8635257065711,\n              39.300192154621016\n            ],\n            [\n              -120.23690229714447,\n              39.300192154621016\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/pcmsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/pcmsc\">Pacific Coastal and Marine Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>2885 Mission St.<br>Santa Cruz, CA 95060</p>","publishedDate":"2023-02-07","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Hatcher, Gerald A. 0000-0001-7705-1509","orcid":"https://orcid.org/0000-0001-7705-1509","contributorId":67586,"corporation":false,"usgs":true,"family":"Hatcher","given":"Gerald A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":862995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":139314,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":862996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":862997,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70256508,"text":"70256508 - 2023 - Bluegill population demographics as related to abiotic and biotic factors in Florida lakes","interactions":[],"lastModifiedDate":"2024-08-20T16:53:45.611917","indexId":"70256508","displayToPublicDate":"2023-02-07T11:50:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6476,"text":"Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Bluegill population demographics as related to abiotic and biotic factors in Florida lakes","docAbstract":"<p><span>Research on Bluegills,&nbsp;</span><i><span class=\"html-italic\">Lepomis macrochirus</span></i><span>&nbsp;R., is abundant but typically focuses on water bodies with similar environmental conditions. We assessed Bluegill density, relative abundance (catch per unit effort [CPUE] by electrofishing), growth, and size structure in 60 lakes with wide-ranging surface areas (2–12,412 ha), trophic states (oligotrophic–hypereutrophic), and macrophyte abundances (0.3–100 percent of lake volume inhabited [PVI]) across Florida, USA. Bluegill density and CPUE increased with lake productivity and decreased with macrophyte abundance. Bluegill growth increased with lake productivity and CPUE of stock-length Florida Bass,&nbsp;</span><span class=\"html-italic\">Micropterus floridanus</span><span>&nbsp;L., a Bluegill predator. Bluegill size structure increased with lake productivity and decreased with Bluegill density. Results indicate that Bluegill fisheries with abundant individuals of quality size (≥150 mm) require productive (&gt;25 μg/L chlorophyll-</span><span class=\"html-italic\">a</span><span>&nbsp;concentration) lakes with moderate to high macrophyte coverage (PVI 50–100), abundant stock-length Florida Bass (&gt;40 fish/h of electrofishing), and Bluegill densities &lt;300 fish/ha. This study provides an approach to predict Bluegill population demographics based on abiotic and biotic factors, establish fisheries management expectations, and develop regional and lake-specific management tools.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/fishes8020100","usgsCitation":"Carlson, A.K., and Hoyer, M.V., 2023, Bluegill population demographics as related to abiotic and biotic factors in Florida lakes: Fishes, v. 8, no. 2, 100, 19 p., https://doi.org/10.3390/fishes8020100.","productDescription":"100, 19 p.","ipdsId":"IP-139048","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":444546,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fishes8020100","text":"Publisher Index Page"},{"id":432951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":10,\"properties\":{\"name\":\"Florida\",\"nation\":\"USA  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Andrew Kenneth 0000-0002-6681-0853","orcid":"https://orcid.org/0000-0002-6681-0853","contributorId":340581,"corporation":false,"usgs":true,"family":"Carlson","given":"Andrew","email":"","middleInitial":"Kenneth","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoyer, Mark V.","contributorId":340952,"corporation":false,"usgs":false,"family":"Hoyer","given":"Mark","email":"","middleInitial":"V.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":907727,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70254881,"text":"70254881 - 2023 - An evaluation of multistate occupancy models for estimating relative abundance and population trends","interactions":[],"lastModifiedDate":"2024-06-11T16:40:06.367815","indexId":"70254881","displayToPublicDate":"2023-02-07T11:37:06","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of multistate occupancy models for estimating relative abundance and population trends","docAbstract":"<p><span>Detecting spatiotemporal changes in the abundances of organisms is key to effectively conserving species. While indices of abundance have long been used, there has been a shift toward model-based estimators that account for the detection process. Popular approaches including traditional occupancy models and N-mixture models entail tradeoffs. The traditional occupancy approach requires the researcher coarsen the characterization of abundance to the probability that a site is occupied or unoccupied. Conversely, N-mixture models make use of variation in counts, but perform poorly when individuals have low detectability or move into or out of sites between visits. Multistate occupancy models that differentiate relatively abundant from non-abundant states have the potential to fill this gap but have been underexplored. We conducted a simulation study to test whether multistate occupancy models could capture spatial abundance patterns and detect population declines in the face of low individual detection probability (</span><i>p</i><span>&nbsp;≤&nbsp;0.3) and unmodeled heterogeneity (e.g., that arising from individual movement). We considered 10,773 scenarios to examine the effects of differing amounts of heterogeneity as well as alternative study designs, population parameters, and modeling choices. We tracked bias in the proportion of sites estimated to be in the abundant state for single-season models, and power to detect a declining trend across multiple years. We also evaluated data diagnostic metrics to provide guidance to users. Multistate occupancy models were able to differentiate sites with higher abundances from sites with lower abundances when there were at least medium levels of spatial heterogeneity in true abundances. If different sites were randomly selected each year, power to detect even large population declines (65%) was poor (power&nbsp;&lt;&nbsp;0.8). However, if the same sites were surveyed each year, and a dynamic multistate occupancy was used, multistate occupancy models could detect (power&nbsp;≥&nbsp;0.8) relatively small declines (5-40%) in 20% of scenarios, and frequently detect large declines of 45-60% (mean power&nbsp;=&nbsp;0.92). Conservation decisions rely on detecting change reliably, rarely needing absolute abundance information. Multistate occupancy models can improve our ability to detect changing abundance while accommodating low individual detection probability and heterogeneity in count monitoring data.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2023.110303","usgsCitation":"Steen, V., Duarte, A., and Peterson, J., 2023, An evaluation of multistate occupancy models for estimating relative abundance and population trends: Ecological Modelling, v. 478, 110303, 9 p., https://doi.org/10.1016/j.ecolmodel.2023.110303.","productDescription":"110303, 9 p.","ipdsId":"IP-144901","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":444548,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2023.110303","text":"Publisher Index Page"},{"id":429891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"478","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Steen, Valerie A. 0000-0002-1417-8139","orcid":"https://orcid.org/0000-0002-1417-8139","contributorId":205994,"corporation":false,"usgs":false,"family":"Steen","given":"Valerie A.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":902764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duarte, Adam","contributorId":337608,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":902765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902766,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70256625,"text":"70256625 - 2023 - Support for the fasting endurance hypothesis of partial migration in a nearshore seabird","interactions":[],"lastModifiedDate":"2024-08-27T15:38:26.036411","indexId":"70256625","displayToPublicDate":"2023-02-07T10:30:25","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":"Support for the fasting endurance hypothesis of partial migration in a nearshore seabird","docAbstract":"<p><span>Partial migration occurs when only a fraction of a population migrates instead of all individuals. Considered an evolutionary precursor to full migration, understanding why some individuals choose to undertake migration while others do not may serve to inform general migratory theory. While several hypotheses currently exist for explaining the maintenance of partial migration, empirical support for many is limited. To address this gap, we analyzed GPS data acquired from brown pelicans (</span><i>Pelecanus occidentalis</i><span>;&nbsp;</span><i>n</i><span> = 74), a partially migratory seabird, nesting on six colonies in the South Atlantic Bight over the course of four autumn migrations. We estimated that approximately 74% of pelicans nesting within the study area may be migratory on an annual basis, with the remainder staying within the surrounding marine ecoregion year-round. Mean date of migration initiation was 9 November, although movements occurred from September to December. Results from Cox's proportional hazards modeling indicated significant positive and negative effects of sea surface temperatures and body condition on migration rate, respectively. We suggest that the ontogenetic migration of the primary forage species of brown pelicans from estuarine to pelagic environments causes a seasonal reduction in prey and that pelicans in poor body condition are unable to meet the energetic demands potentially associated with this decrease in prey availability (i.e., the fasting endurance hypothesis of partial migration). Although we did not find evidence for a density-dependent migratory response, the effects of intraspecific competition on migration in pelicans also appear to warrant consideration.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4365","usgsCitation":"Wilkinson, B., and Jodice, P.G., 2023, Support for the fasting endurance hypothesis of partial migration in a nearshore seabird: Ecosphere, v. 14, no. 2, e4365, 14 p., https://doi.org/10.1002/ecs2.4365.","productDescription":"e4365, 14 p.","ipdsId":"IP-138118","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":489176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4365","text":"Publisher Index Page"},{"id":433202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, South Carolina","otherGeospatial":"Southern Atlantic Bight","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.05297920929696,\n              34.03073611807265\n            ],\n            [\n              -81.51071034327317,\n              31.670634225271414\n            ],\n            [\n              -81.44326290770108,\n              30.745131881151735\n            ],\n            [\n              -78.41498319817921,\n              33.68781001381117\n            ],\n            [\n              -79.05297920929696,\n              34.03073611807265\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkinson, Bradley P.","contributorId":341414,"corporation":false,"usgs":false,"family":"Wilkinson","given":"Bradley P.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":908373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908374,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70255215,"text":"70255215 - 2023 - Anthropogenic subsidies influence resource use during a mange epizootic in a desert coyote population","interactions":[],"lastModifiedDate":"2024-06-14T13:48:23.751212","indexId":"70255215","displayToPublicDate":"2023-02-07T08:43:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic subsidies influence resource use during a mange epizootic in a desert coyote population","docAbstract":"<p><span>Colonization of urban areas by synanthropic wildlife introduces novel and complex alterations to established ecological processes, including the emergence and spread of infectious diseases. Aggregation at urban resources can increase disease transfer, with wide-ranging species potentially infecting outlying populations. The garrison at the National Training Center, Fort Irwin, California, USA, was recently colonized by mange-infected coyotes (</span><i>Canis latrans</i><span>) that also use the surrounding Mojave Desert. This situation provided an ideal opportunity to examine the effects of urban resources on disease dynamics. We evaluated seasonal space use and determined the influence of anthropogenic subsidies, water sources, and prey density on urban resource selection. We found no difference in home range size between healthy and infected individuals, but infected residents had considerably more spatial overlap with one another than healthy residents. All coyotes selected for anthropogenic subsidies during all seasons, while infected coyotes seasonally selected for urban water sources, and healthy coyotes seasonally selected for urban areas with greater densities of natural prey. These results suggest that while all coyotes were selecting for anthropogenic subsidies, infected resident coyotes demonstrated a greater tolerance for other conspecifics, which could be facilitating the horizontal transfer of sarcoptic mange to non-resident coyotes. Conversely, healthy coyotes also selected for natural prey and healthy residents exhibited a lack of spatial overlap with other coyotes suggesting they were not reliant on anthropogenic subsidies and were maintaining territories. Understanding the association between urban wildlife, zoonotic diseases, and urban resources can be critical in determining effective responses for mitigating future epizootics.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00442-023-05328-7","usgsCitation":"Reddell, C.D., Roemer, G.W., Delaney, D., Karish, T., and Cain, J.W., 2023, Anthropogenic subsidies influence resource use during a mange epizootic in a desert coyote population: Oecologia, v. 201, p. 435-447, https://doi.org/10.1007/s00442-023-05328-7.","productDescription":"13 p.","startPage":"435","endPage":"447","ipdsId":"IP-137129","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Fort Irwin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.2032931867908,\n              35.658455114584214\n            ],\n            [\n              -117.2032931867908,\n              34.96919321548317\n            ],\n            [\n              -116.06067559317455,\n              34.96919321548317\n            ],\n            [\n              -116.06067559317455,\n              35.658455114584214\n            ],\n            [\n              -117.2032931867908,\n              35.658455114584214\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"201","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Reddell, Craig D.","contributorId":276276,"corporation":false,"usgs":false,"family":"Reddell","given":"Craig","email":"","middleInitial":"D.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":903747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roemer, Gary W.","contributorId":273109,"corporation":false,"usgs":false,"family":"Roemer","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":903748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delaney, David K.","contributorId":276280,"corporation":false,"usgs":false,"family":"Delaney","given":"David K.","affiliations":[],"preferred":false,"id":903749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karish, Talesha","contributorId":337900,"corporation":false,"usgs":false,"family":"Karish","given":"Talesha","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":903750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903751,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240397,"text":"70240397 - 2023 - A review of common natural disasters as analogs for asteroid impact effects and cascading hazards","interactions":[],"lastModifiedDate":"2023-04-12T13:40:53.119991","indexId":"70240397","displayToPublicDate":"2023-02-07T08:30:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"A review of common natural disasters as analogs for asteroid impact effects and cascading hazards","docAbstract":"<p><span>Modern civilization has no collective experience with possible wide-ranging effects from a medium-sized asteroid impactor. Currently, modeling efforts that predict initial effects from a meteor impact or airburst provide needed information for initial preparation and evacuation plans, but longer-term cascading hazards are not typically considered. However, more common natural disasters, such as volcanic eruptions, earthquakes, wildfires, dust storms, and hurricanes, are likely analogs that can provide the scope and scale of these potential effects. These events, especially the larger events with cascading effects, are key for understanding the scope and complexity of mitigation, relief, and recovery efforts for a medium-sized asteroid impact event. This paper reviews the initial and cascading effects of these natural hazards, describes the state of the art for modeling these hazards, and discusses the relevance of these hazards to expected long-term effects of an asteroid impact. Emergency managers, resource managers and planners, and research scientists involved in mitigation and recovery efforts would likely derive significant benefit from a framework linking multiple hazard models to provide a seamless sequence of related forecasts.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11069-022-05722-z","usgsCitation":"Titus, T.N., Robertson, D., Sankey, J., Mastin, L.G., and Rengers, F.K., 2023, A review of common natural disasters as analogs for asteroid impact effects and cascading hazards: Natural Hazards, v. 116, p. 1355-1402, https://doi.org/10.1007/s11069-022-05722-z.","productDescription":"48 p.","startPage":"1355","endPage":"1402","ipdsId":"IP-134192","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":444554,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11069-022-05722-z","text":"Publisher Index Page"},{"id":412812,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"116","noUsgsAuthors":false,"publicationDate":"2023-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":863656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, D. G.","contributorId":178727,"corporation":false,"usgs":false,"family":"Robertson","given":"D. G.","affiliations":[],"preferred":false,"id":863657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":863658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mastin, Larry G. 0000-0002-4795-1992","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":265985,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":863659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":863660,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240420,"text":"70240420 - 2023 - From bottom-up to top-down control of invertebrate herbivores in a retrogressive chronosequence","interactions":[],"lastModifiedDate":"2023-03-01T17:24:15.482344","indexId":"70240420","displayToPublicDate":"2023-02-07T08:19:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"From bottom-up to top-down control of invertebrate herbivores in a retrogressive chronosequence","docAbstract":"In the long-term absence of disturbance, ecosystems often enter a decline or retrogressive phase which leads to reductions in primary productivity, plant biomass, nutrient cycling and foliar quality. However, the consequences of ecosystem retrogression for higher trophic levels such as herbivores and predators, are less clear. Using a post-fire forested island-chronosequence across which retrogression occurs, we provide evidence that nutrient availability strongly controls invertebrate herbivore biomass when predators are few, but that there is a switch from bottom-up to top-down control when predators are common. This trophic flip in herbivore control probably arises because invertebrate predators respond to alternative energy channels from the adjacent aquatic matrix, which were independent of terrestrial plant biomass. Our results suggest that effects of nutrient limitation resulting from ecosystem retrogression on trophic cascades are modified by nutrient-independent variation in predator abundance, and this calls for a more holistic approach to trophic ecology to better understand herbivore effects on plant communities.","language":"English","publisher":"Wiley","doi":"10.1111/ele.14161","usgsCitation":"Kempel, A., Allan, E., Gossner, M.M., Jochum, M., Grace, J., and Wardle, D., 2023, From bottom-up to top-down control of invertebrate herbivores in a retrogressive chronosequence: Ecology Letters, v. 26, no. 3, p. 411-424, https://doi.org/10.1111/ele.14161.","productDescription":"14 p.","startPage":"411","endPage":"424","ipdsId":"IP-145201","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444558,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.14161","text":"Publisher Index 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Research","active":true,"usgs":false}],"preferred":false,"id":863731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grace, James 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":220737,"corporation":false,"usgs":true,"family":"Grace","given":"James","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":863732,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wardle, David A.","contributorId":266150,"corporation":false,"usgs":false,"family":"Wardle","given":"David A.","affiliations":[{"id":54930,"text":"Asian School of the Environment, Nanyang Technological University, 50 Nanyang avenue, Singapore 639798","active":true,"usgs":false}],"preferred":false,"id":863733,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70242017,"text":"70242017 - 2023 - Six years of fluvial response to a large dam removal on the Carmel River, California, USA","interactions":[],"lastModifiedDate":"2023-06-27T16:51:13.29324","indexId":"70242017","displayToPublicDate":"2023-02-07T08:17:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Six years of fluvial response to a large dam removal on the Carmel River, California, USA","docAbstract":"<p><span>Measuring river response to dam removal affords a rare, important opportunity to study fluvial response to sediment pulses on a large field scale. We present a before–after/control–impact study of the Carmel River, California, measuring fluvial geomorphic and grain-size evolution over 8 years, six of which postdated removal of a 32 m-high dam (one of the largest dams removed worldwide) and included 11 flow events exceeding the 2-year flood magnitude. We find that the reservoir-sediment pulse following dam removal was relatively small (97 000 ± 24 000 t over 4 years), owing to deliberate reservoir-sediment stabilization. Scaled to the size of the Carmel River watershed and compared against long-term bedrock denudation rates, the post-dam-removal sediment release was slightly less than the annualized long-term sediment export from this basin. New sediment transited &gt;30 km to the river mouth in less than 2 years, assisted by floods 2 and 4 years after dam removal. The sediment pulse fined the downstream riverbed while causing mostly low-magnitude bed-elevation changes: commonly 0.5 to 1 m or smaller, occurring as discontinuous sediment patches or interstitial deposits, aside from the filling and subsequent partial scour of deep pools. There was no major geomorphic reset downstream from the dam site. Geomorphic changes were driven almost entirely by flow rather than by the modest increase in sediment supply, in contrast to recent examples from other large dam removals. The relatively minor disturbance caused by dam removal on the Carmel River is likely analogous to many future dam removals: a relatively small sediment pulse after deliberate limitation of reservoir-sediment erosion, and with an upstream dam remaining in place. Thus, a large dam removal need not lead to major downstream impacts.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5561","usgsCitation":"East, A.E., Harrison, L.R., Smith, D.P., Logan, J.B., and Bond, R., 2023, Six years of fluvial response to a large dam removal on the Carmel River, California, USA: Earth Surface Processes and Landforms, v. 48, no. 8, p. 1487-1501, https://doi.org/10.1002/esp.5561.","productDescription":"15 p.","startPage":"1487","endPage":"1501","ipdsId":"IP-146182","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":444561,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.5561","text":"Publisher Index Page"},{"id":415160,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Carmel River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.62577522165773,\n              36.36105374788829\n            ],\n            [\n              -121.58724434610056,\n              36.40905968854021\n            ],\n            [\n              -121.61843600726598,\n              36.46293870830412\n            ],\n            [\n              -121.750541866319,\n              36.53594773620604\n            ],\n            [\n              -121.8532908678046,\n              36.61551540625254\n            ],\n            [\n              -121.90741757394426,\n              36.588265345279865\n            ],\n            [\n              -121.93261880515863,\n              36.54806169091083\n            ],\n            [\n              -121.88413981443409,\n              36.520771377870034\n            ],\n            [\n              -121.79850327393265,\n              36.50047233869989\n            ],\n            [\n              -121.7839886060512,\n              36.469663631874326\n            ],\n            [\n              -121.74712134963194,\n              36.40894399256348\n            ],\n            [\n              -121.68209557572075,\n              36.36804816657221\n            ],\n            [\n              -121.62606895769773,\n              36.3610353099688\n            ],\n            [\n              -121.62577522165773,\n              36.36105374788829\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Lee R.","contributorId":174322,"corporation":false,"usgs":false,"family":"Harrison","given":"Lee","email":"","middleInitial":"R.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":868545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Douglas P.","contributorId":201716,"corporation":false,"usgs":false,"family":"Smith","given":"Douglas","email":"","middleInitial":"P.","affiliations":[{"id":35924,"text":"California State University, Monterey Bay","active":true,"usgs":false}],"preferred":false,"id":868546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Logan, Joshua B. 0000-0002-6191-4119 jlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-6191-4119","contributorId":2335,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua","email":"jlogan@usgs.gov","middleInitial":"B.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":868547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bond, Rosealea","contributorId":201717,"corporation":false,"usgs":false,"family":"Bond","given":"Rosealea","affiliations":[{"id":12520,"text":"NOAA National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":868548,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240939,"text":"70240939 - 2023 - Increasing Alaskan river discharge during the cold season is driven by recent warming","interactions":[],"lastModifiedDate":"2023-03-02T13:22:05.643107","indexId":"70240939","displayToPublicDate":"2023-02-07T07:19:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Increasing Alaskan river discharge during the cold season is driven by recent warming","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Arctic hydrology is experiencing rapid changes including earlier snow melt, permafrost degradation, increasing active layer depth, and reduced river ice, all of which are expected to lead to changes in stream flow regimes. Recently, long-term (&gt;60 years) climate reanalysis and river discharge observation data have become available. We utilized these data to assess long-term changes in discharge and their hydroclimatic drivers. River discharge during the cold season (October–April) increased by 10% per decade. The most widespread discharge increase occurred in April (15% per decade), the month of ice break-up for the majority of basins. In October, when river ice formation generally begins, average monthly discharge increased by 7% per decade. Long-term air temperature increases in October and April increased the number of days above freezing (+1.1 d per decade) resulting in increased snow ablation (20% per decade) and decreased snow water equivalent (−12% per decade). Compared to the historical period (1960–1989), mean April and October air temperature in the recent period (1990–2019) have greater correlation with monthly discharge from 0.33 to 0.68 and 0.0–0.48, respectively. This indicates that the recent increases in air temperature are directly related to these discharge changes. Ubiquitous increases in cold and shoulder-season discharge demonstrate the scale at which hydrologic and biogeochemical fluxes are being altered in the Arctic.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/acb661","usgsCitation":"Blaskey, D., Koch, J.C., Gooseff, M., Newman, A.C., Cheng, Y., O’Donnell, J.A., and Musselman, K., 2023, Increasing Alaskan river discharge during the cold season is driven by recent warming: Environmental Research Letters, v. 18, no. 2, 024042, 12 p., https://doi.org/10.1088/1748-9326/acb661.","productDescription":"024042, 12 p.","ipdsId":"IP-146328","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":444564,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/acb661","text":"Publisher Index Page"},{"id":413614,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -140.80269683804968,\n              69.90708872520639\n            ],\n            [\n              -148.88520185751725,\n              71.02309718987036\n            ],\n            [\n              -155.5620538301211,\n              71.53067530491455\n            ],\n            [\n              -161.00895938671903,\n              71.02309718987036\n            ],\n            [\n              -166.9829848358909,\n              69.04477255284121\n            ],\n            [\n              -168.74005114447075,\n              65.596108528327\n            ],\n            [\n              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   \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Blaskey, D","contributorId":302754,"corporation":false,"usgs":false,"family":"Blaskey","given":"D","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":865371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":865372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gooseff, M.","contributorId":201026,"corporation":false,"usgs":false,"family":"Gooseff","given":"M.","email":"","affiliations":[],"preferred":false,"id":865373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, A. C. 0000-0001-6621-2717","orcid":"https://orcid.org/0000-0001-6621-2717","contributorId":211589,"corporation":false,"usgs":false,"family":"Newman","given":"A.","email":"","middleInitial":"C.","affiliations":[{"id":38269,"text":"Aarhus, Denmark","active":true,"usgs":false}],"preferred":false,"id":865374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cheng, Yang","contributorId":211352,"corporation":false,"usgs":false,"family":"Cheng","given":"Yang","email":"","affiliations":[],"preferred":false,"id":865375,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":865376,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Musselman, K","contributorId":302756,"corporation":false,"usgs":false,"family":"Musselman","given":"K","email":"","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":865377,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70246694,"text":"70246694 - 2023 - Upwelling, climate change, and the shifting geography of coral reef development","interactions":[],"lastModifiedDate":"2023-07-17T12:20:56.213839","indexId":"70246694","displayToPublicDate":"2023-02-07T07:18:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Upwelling, climate change, and the shifting geography of coral reef development","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The eastern tropical Pacific is oceanographically unfavorable for coral-reef development. Nevertheless, reefs have persisted there for the last 7000&nbsp;years. Rates of vertical accretion during the Holocene have been similar in the strong-upwelling Gulf of Panamá (GoP) and the adjacent, weak-upwelling Gulf of Chiriquí (GoC); however, seasonal upwelling in the GoP exacerbated a climate-driven hiatus in reef development in the late Holocene. The situation is now reversed and seasonal upwelling in the GoP currently buffers thermal stress, creating a refuge for coral growth. We developed carbonate budget models to project the capacity of reefs in both gulfs to keep up with future sea-level rise. On average, the GoP had significantly higher net carbonate production rates than the GoC. With an estimated contemporary reef-accretion potential (RAP) of 5.5&nbsp;mm&nbsp;year<sup>−1</sup>, reefs in the GoP are projected to be able to keep up with sea-level rise if CO<sub>2</sub><span>&nbsp;</span>emissions are reduced, but not under current emissions trajectories. With an estimated RAP of just 0.3&nbsp;mm&nbsp;year<sup>−1</sup>, reefs in the GoC are likely already unable to keep up with contemporary sea-level rise in Panamá (1.4&nbsp;mm&nbsp;year<sup>−1</sup>). Whereas the GoP has the potential to support functional reefs in the near-term, our study indicates that their long-term persistence will depend on reduction of greenhouse gases.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41598-023-28489-0","usgsCitation":"Rodriguez-Ruano, V., Toth, L., Enochs, I.C., Randall, C.J., and Aronson, R.B., 2023, Upwelling, climate change, and the shifting geography of coral reef development: Scientific Reports, v. 13, 1770, 15 p., https://doi.org/10.1038/s41598-023-28489-0.","productDescription":"1770, 15 p.","ipdsId":"IP-142612","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":444566,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-023-28489-0","text":"Publisher Index Page"},{"id":418999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Panama","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.44492355404331,\n              8.765703725009672\n            ],\n            [\n              -79.44492355404331,\n              7.896453925071583\n            ],\n            [\n              -78.41265160945854,\n              7.896453925071583\n            ],\n            [\n              -78.41265160945854,\n              8.765703725009672\n            ],\n            [\n              -79.44492355404331,\n              8.765703725009672\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.40995999061637,\n              7.983464633908511\n            ],\n            [\n              -82.40995999061637,\n              7.0035723559191325\n            ],\n            [\n              -81.15805571739662,\n              7.0035723559191325\n            ],\n            [\n              -81.15805571739662,\n              7.983464633908511\n            ],\n            [\n              -82.40995999061637,\n              7.983464633908511\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Rodriguez-Ruano, Victor","contributorId":316663,"corporation":false,"usgs":false,"family":"Rodriguez-Ruano","given":"Victor","email":"","affiliations":[{"id":17748,"text":"Florida Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":878013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":878014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enochs, Ian C.","contributorId":181746,"corporation":false,"usgs":false,"family":"Enochs","given":"Ian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":878015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Randall, Carly J. 0000-0001-8112-3552","orcid":"https://orcid.org/0000-0001-8112-3552","contributorId":212696,"corporation":false,"usgs":false,"family":"Randall","given":"Carly","email":"","middleInitial":"J.","affiliations":[{"id":32935,"text":"Australian Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":878016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aronson, Richard B. 0000-0003-0383-3844","orcid":"https://orcid.org/0000-0003-0383-3844","contributorId":212695,"corporation":false,"usgs":false,"family":"Aronson","given":"Richard","email":"","middleInitial":"B.","affiliations":[{"id":17748,"text":"Florida Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":878017,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240642,"text":"70240642 - 2023 - Detection and monitoring of small-scale diamond and gold mining dredges using synthetic aperture radar on the Kadéï (Sangha) River, Central African Republic","interactions":[],"lastModifiedDate":"2023-02-10T13:01:32.364059","indexId":"70240642","displayToPublicDate":"2023-02-07T06:58:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Detection and monitoring of small-scale diamond and gold mining dredges using synthetic aperture radar on the Kadéï (Sangha) River, Central African Republic","docAbstract":"<div class=\"html-p\">Diamond and gold mining has been practiced by artisanal miners in the Central African Republic (CAR) for decades. The recent introduction of riverine dredges indicates a transition from artisanal/manual digging and sorting techniques to small-scale mining methods. This study implements a remote sensing analysis of Synthetic Aperture Radar (SAR) data to map gold and diamond dredges operating on the Kadéï (Sangha) river in the CAR. Riverine vessels are identified in Sentinel-1 SAR data between 2015 and 2019, and their activity levels are mapped over time. The number of active dredges identified on the river increased over the five years studied, with the largest increase occurring between 2016 and 2017. Detailing a method for mapping and monitoring riverine diamond and gold dredge mining is an important step in keeping up with evolving technologies and new areas of mineral exploitation and in helping address concerns over resource governance in remote and conflict-prone terrain. The use of SAR technology, with its weather-independence, broad coverage, and available wavelength combinations, allows for higher temporal resolution and improved vessel detection in the monitoring of small-scale mining (SSM) dredges.</div>","language":"English","publisher":"MDPI","doi":"10.3390/rs15040913","usgsCitation":"Alessi, M.A., Chirico, P.G., Sunder, S., and O’Pry, K.L., 2023, Detection and monitoring of small-scale diamond and gold mining dredges using synthetic aperture radar on the Kadéï (Sangha) River, Central African Republic: Remote Sensing, v. 15, no. 4, 913, 20 p., https://doi.org/10.3390/rs15040913.","productDescription":"913, 20 p.","ipdsId":"IP-145346","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":444571,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs15040913","text":"Publisher Index Page"},{"id":435463,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FWFC7R","text":"USGS data release","linkHelpText":"Locations of small-scale diamond and gold dredges detected using Synthetic Aperture Radar on the Kad&amp;amp;amp;amp;eacute;&amp;amp;amp;amp;iuml; (Sangha) River, Central African Republic"},{"id":412938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Central African Republic","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              15.570709092892002,\n              3.9129555923553028\n            ],\n            [\n              15.570709092892002,\n              2.7289487271179524\n            ],\n            [\n              16.712802193468775,\n              2.7289487271179524\n            ],\n            [\n              16.712802193468775,\n              3.9129555923553028\n            ],\n            [\n              15.570709092892002,\n              3.9129555923553028\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Alessi, Marissa Ann 0000-0002-1251-3108","orcid":"https://orcid.org/0000-0002-1251-3108","contributorId":244628,"corporation":false,"usgs":true,"family":"Alessi","given":"Marissa","email":"","middleInitial":"Ann","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":864079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chirico, Peter G. 0000-0001-8375-5342","orcid":"https://orcid.org/0000-0001-8375-5342","contributorId":63838,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter","email":"","middleInitial":"G.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":864080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sunder, Sindhuja 0000-0002-3978-3263","orcid":"https://orcid.org/0000-0002-3978-3263","contributorId":264350,"corporation":false,"usgs":false,"family":"Sunder","given":"Sindhuja","email":"","affiliations":[{"id":54446,"text":"Aperture Federal, LLC","active":true,"usgs":false}],"preferred":false,"id":864081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Pry, Kelsey L. 0000-0002-1589-4372","orcid":"https://orcid.org/0000-0002-1589-4372","contributorId":219734,"corporation":false,"usgs":false,"family":"O’Pry","given":"Kelsey","email":"","middleInitial":"L.","affiliations":[{"id":33043,"text":"Natural Systems Analysts, Inc.","active":true,"usgs":false}],"preferred":false,"id":864082,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70240733,"text":"70240733 - 2023 - Stabilising effects of karstic groundwater on stream fish communities","interactions":[],"lastModifiedDate":"2023-06-09T15:07:23.012484","indexId":"70240733","displayToPublicDate":"2023-02-07T06:52:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Stabilising effects of karstic groundwater on stream fish communities","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Although groundwater exchange processes are known to modulate atmospheric influences on stream temperature and flow, the implications for ecological stability are poorly understood. Here, we evaluated temporal change in stream fish communities across a gradient of groundwater influence defined by karst terrain (carbonate parent materials) within the Potomac River basin of eastern North America. We surveyed 12 sites in 2022 that had been sampled 29–30 years previously with similar methods. We also collected stream temperature data from each site and used the regression slope of the air-water temperature relationship to index stream thermal sensitivity and groundwater exchange processes. Sites in karst terrain exhibited strong groundwater controls on stream temperature, and fish communities were more stable over time in these locations than elsewhere. However, stream thermal sensitivity was a stronger predictor of species persistence than the spatial distribution of karst terrain in contributing areas, highlighting the ecological importance of local variation in groundwater discharge processes. The presence of calcium precipitates (marl) in stream substrates was associated with low thermal sensitivity and ecological stability over time, and we suggest such visible features may be a useful indicator of climate change refugia in stream ecosystems.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12705","usgsCitation":"Hitt, N.P., Rogers, K.M., Kessler, K.G., Briggs, M., and Fair, J.H., 2023, Stabilising effects of karstic groundwater on stream fish communities: Ecology of Freshwater Fish, v. 32, no. 3, p. 538-551, https://doi.org/10.1111/eff.12705.","productDescription":"14 p.","startPage":"538","endPage":"551","ipdsId":"IP-147077","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":444573,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12705","text":"Publisher Index Page"},{"id":413165,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":238185,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":864580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Karli M. 0000-0002-6188-7405","orcid":"https://orcid.org/0000-0002-6188-7405","contributorId":237955,"corporation":false,"usgs":true,"family":"Rogers","given":"Karli","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":864581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kessler, Karmann G. 0000-0001-5681-4909","orcid":"https://orcid.org/0000-0001-5681-4909","contributorId":242765,"corporation":false,"usgs":true,"family":"Kessler","given":"Karmann","email":"","middleInitial":"G.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":864582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":864583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fair, Jennifer H. 0000-0002-9902-1893","orcid":"https://orcid.org/0000-0002-9902-1893","contributorId":245941,"corporation":false,"usgs":true,"family":"Fair","given":"Jennifer","middleInitial":"H.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":864584,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240943,"text":"70240943 - 2023 - Sierra Nevada amphibians demonstrate stable occupancy despite precipitation volatility in the early 21st Century","interactions":[],"lastModifiedDate":"2023-03-02T12:56:42.847598","indexId":"70240943","displayToPublicDate":"2023-02-07T06:52:12","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Sierra Nevada amphibians demonstrate stable occupancy despite precipitation volatility in the early 21st Century","docAbstract":"<div class=\"JournalAbstract\"><p>Climate can have a strong influence on species distributions, and amphibians with different life histories might be affected by annual variability in precipitation in different ways. The Sierra Nevada of California, United States, experienced some of the driest and wettest years on record in the early 21st Century, with variability in annual precipitation predicted to increase with climate change. We examined the relationship between adult occupancy dynamics of three high elevation anurans and site and annual variation in measures of winter severity, summer wetness, and cumulative drought. We further evaluated how these weather conditions affected the probability that each species would reproduce, conditional on their occurrence at a site. We found that although different aspects of weather affected the occupancy dynamics of each species differently, adult occupancy probabilities were generally stable throughout our 15-year study period. The probability of reproduction, although slightly more variable than adult occupancy, was similarly stable throughout the study. Although occurrence of the three species was resilient to recent extremes in precipitation, more detailed demographic study would inform the extent to which amphibian populations will remain resilient to increasing severity, duration, and frequency of drought and flood cycles.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2022.1040114","usgsCitation":"Halstead, B., Kleeman, P.M., Rose, J.P., and Fellers, G.M., 2023, Sierra Nevada amphibians demonstrate stable occupancy despite precipitation volatility in the early 21st Century: Frontiers in Ecology and Evolution, v. 10, 1040114, 19 p., https://doi.org/10.3389/fevo.2022.1040114.","productDescription":"1040114, 19 p.","ipdsId":"IP-145172","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":444576,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2022.1040114","text":"Publisher Index Page"},{"id":435465,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VR4SH3","text":"USGS data release","linkHelpText":"Code to analyze multi-state, multi-scale dynamic occupancy models for amphibians in  Yosemite National Park"},{"id":435464,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X6SKT8","text":"USGS data release","linkHelpText":"Multi-State Occurrence Data and Predictors for Amphibians in Yosemite National Park (2007-2021)"},{"id":413609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.40789832776177,\n              38.18368535961483\n            ],\n            [\n              -120.40789832776177,\n              37.228000371894424\n            ],\n            [\n              -118.70574034132497,\n              37.228000371894424\n            ],\n            [\n              -118.70574034132497,\n              38.18368535961483\n            ],\n            [\n              -120.40789832776177,\n              38.18368535961483\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2023-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":865384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":865385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":865386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fellers, Gary M.","contributorId":209920,"corporation":false,"usgs":false,"family":"Fellers","given":"Gary","email":"","middleInitial":"M.","affiliations":[{"id":38025,"text":"9 Goldfinch Court, Novato, CA 94947; gary_fellers@worldnet.att.net","active":true,"usgs":false}],"preferred":false,"id":865387,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70240475,"text":"70240475 - 2023 - When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates","interactions":[],"lastModifiedDate":"2023-11-08T16:48:35.179325","indexId":"70240475","displayToPublicDate":"2023-02-07T06:48:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates","docAbstract":"<p id=\"spara021\">Previous moderate- and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable models are employed, expert decisions also introduce human and, thereby, model bias. This bias can present a source of error that reduces the predictive performance of the models and confidence in the resulting resource estimates.</p><p id=\"spara022\">Our study aims to develop robust data-driven methods with the goals of reducing bias and improving predictive ability. We present and compare nine favorability maps for geothermal resources in the western United States using data from the U.S. Geological Survey's 2008 geothermal resource assessment. Two favorability maps are created using the expert decision-dependent methods from the 2008 assessment (<i>i.e.,</i><span>&nbsp;</span>weight-of-evidence and logistic regression). With the same data, we then create six different favorability maps using logistic regression (without underlying expert decisions), XGBoost, and support-vector machines paired with two training strategies. The training strategies are customized to address the inherent challenges of applying machine learning to the geothermal training data, which have no negative examples and severe class imbalance. We also create another favorability map using an artificial neural network.</p><p id=\"spara023\">We demonstrate that modern machine learning approaches can improve upon systems built with expert decisions. We also find that XGBoost, a non-linear algorithm, produces greater agreement with the 2008 results than linear logistic regression without expert decisions, because the expert decisions in the 2008 assessment rendered the otherwise linear approaches non-linear despite the fact that the 2008 assessment used only linear methods. The F1 scores for all approaches appear low (F1 score &lt; 0.10), do not improve with increasing model complexity, and, therefore, indicate the fundamental limitations of the input features (<i>i.e.,</i><span>&nbsp;</span>training data). Until improved feature data are incorporated into the assessment process, simple non-linear algorithms (<i>e.g.,</i><span>&nbsp;</span>XGBoost) perform equally well or better than more complex methods (<i>e.g.,</i><span>&nbsp;</span>artificial neural networks) and remain easier to interpret.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2023.102662","usgsCitation":"Mordensky, S.P., Lipor, J., DeAngelo, J., Burns, E., and Lindsey, C.R., 2023, When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates: Geothermics, v. 110, 102662, 22 p., https://doi.org/10.1016/j.geothermics.2023.102662.","productDescription":"102662, 22 p.","ipdsId":"IP-142531","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":444577,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geothermics.2023.102662","text":"Publisher Index Page"},{"id":435466,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V1Q9XM","text":"USGS data release","linkHelpText":"Geothermal resource favorability: select features and predictions for the western United States curated for DOI 10.1016/j.geothermics.2023.102662"},{"id":412868,"rank":1,"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              -127.12518216384296,\n              49.86387644792583\n            ],\n            [\n              -127.12518216384296,\n              31.096405781605768\n            ],\n            [\n              -102.87766710543923,\n              31.096405781605768\n            ],\n            [\n              -102.87766710543923,\n              49.86387644792583\n            ],\n            [\n              -127.12518216384296,\n              49.86387644792583\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"110","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mordensky, Stanley Paul 0000-0001-8607-303X","orcid":"https://orcid.org/0000-0001-8607-303X","contributorId":292014,"corporation":false,"usgs":true,"family":"Mordensky","given":"Stanley","email":"","middleInitial":"Paul","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":863886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lipor, John 0000-0002-0990-5493","orcid":"https://orcid.org/0000-0002-0990-5493","contributorId":292015,"corporation":false,"usgs":false,"family":"Lipor","given":"John","email":"","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":863887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelo, Jacob 0000-0002-7348-7839 jdeangelo@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-7839","contributorId":237879,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":863888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":225412,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":863889,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindsey, Cary Ruth 0000-0001-5693-9664","orcid":"https://orcid.org/0000-0001-5693-9664","contributorId":292016,"corporation":false,"usgs":true,"family":"Lindsey","given":"Cary","email":"","middleInitial":"Ruth","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":863890,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240880,"text":"70240880 - 2023 - Regolith of the crater floor units, Jezero crater, Mars: Textures, composition and implications for provenance","interactions":[],"lastModifiedDate":"2023-03-15T15:12:05.585557","indexId":"70240880","displayToPublicDate":"2023-02-07T06:33:42","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13276,"text":"JGR-Planets","active":true,"publicationSubtype":{"id":10}},"title":"Regolith of the crater floor units, Jezero crater, Mars: Textures, composition and implications for provenance","docAbstract":"<div class=\"article-section__content en main\"><p>A multi-instrument study of the regolith of Jezero crater floor units by the Perseverance rover has identified three types of regolith: fine-grained, coarse-grained, and mixed-type. Mastcam-Z, WATSON, and SuperCam RMI were used to characterize regolith texture, particle size, and roundedness where possible. Mastcam-Z multispectral and SuperCam LIBS data were used to constrain the composition of the regolith types. Fine-grained regolith is found surrounding bedrock and boulders, comprising bedforms, and accumulating on top of rocks in erosional depressions. Spectral and chemical data show it is compositionally consistent with pyroxene and a ferric-oxide phase. Coarse-grained regolith consists of 1-2 mm well-sorted gray grains that are found concentrated around the base of boulders and bedrock, and armoring bedforms. Its chemistry and spectra indicate it is olivine-bearing, and spatial distribution and roundedness indicate it has been transported, likely by saltation-induced creep. Coarse grains share similarities with the olivine grains observed in the<span>&nbsp;</span><i>Séítah</i><span>&nbsp;</span>formation bedrock, making that unit a possible source for these grains. Mixed-type regolith contains fine- and coarse-grained regolith components and larger rock fragments. The rock fragments are texturally and spectrally similar to bedrock within the<span>&nbsp;</span><i>Máaz</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Séítah</i><span>&nbsp;</span>formations, indicating origins by erosion from those units, although they could also be a lag deposit from erosion of an overlying unit. The fine- and coarse-grained types are compared to their counterparts at other landing sites to inform global, regional, and local inputs to regolith formation within Jezero crater. The regolith characterization presented here informs regolith sampling efforts underway by Perseverance.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JE007437","usgsCitation":"Vaughan, A., Minitti, M.E., Cardarelli, E.L., Johnson, J.R., Kah, L.C., Pilleri, P., Rice, M.S., Sephton, M., Horgan, B.H., Wiens, R.C., Yingst, R.A., Zorzano Mier, M., Anderson, R.B., Bell, J., Brown, A.J., Cloutis, E.A., Cousin, A., Herkenhoff, K., Housrath, E.M., Hayes, A.G., Kinch, K.M., Merusi, M., Million, C.C., Sullivan, R., Siljestrom, S.M., and St. Clair, M., 2023, Regolith of the crater floor units, Jezero crater, Mars: Textures, composition and implications for provenance: JGR-Planets, v. 128, no. 3, e2022JE007437, 32 p., https://doi.org/10.1029/2022JE007437.","productDescription":"e2022JE007437, 32 p.","ipdsId":"IP-147096","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":444580,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022je007437","text":"Publisher Index Page"},{"id":413464,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Jezero Crater, Mars","volume":"128","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Vaughan, Alicia","contributorId":218576,"corporation":false,"usgs":false,"family":"Vaughan","given":"Alicia","affiliations":[],"preferred":false,"id":865141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minitti, Michelle E.","contributorId":302692,"corporation":false,"usgs":false,"family":"Minitti","given":"Michelle","email":"","middleInitial":"E.","affiliations":[{"id":65532,"text":"Framework","active":true,"usgs":false}],"preferred":false,"id":865142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cardarelli, Emily L.","contributorId":302693,"corporation":false,"usgs":false,"family":"Cardarelli","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":65533,"text":"Caltech Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":865143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Jeffrey R.","contributorId":200393,"corporation":false,"usgs":false,"family":"Johnson","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":865144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kah, Linda C.","contributorId":181497,"corporation":false,"usgs":false,"family":"Kah","given":"Linda","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":865145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pilleri, Paolo","contributorId":300176,"corporation":false,"usgs":false,"family":"Pilleri","given":"Paolo","email":"","affiliations":[{"id":27192,"text":"IRAP","active":true,"usgs":false}],"preferred":false,"id":865146,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rice, Mellisa S.","contributorId":302694,"corporation":false,"usgs":false,"family":"Rice","given":"Mellisa","email":"","middleInitial":"S.","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":865147,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sephton, Mark","contributorId":302695,"corporation":false,"usgs":false,"family":"Sephton","given":"Mark","email":"","affiliations":[{"id":49191,"text":"Imperial College","active":true,"usgs":false}],"preferred":false,"id":865148,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Horgan, Briony H. N. 0000-0001-6314-9724","orcid":"https://orcid.org/0000-0001-6314-9724","contributorId":258276,"corporation":false,"usgs":false,"family":"Horgan","given":"Briony","email":"","middleInitial":"H. N.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":865149,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wiens, Roger C.","contributorId":140330,"corporation":false,"usgs":false,"family":"Wiens","given":"Roger","email":"","middleInitial":"C.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":865150,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Yingst, R. Aileen","contributorId":214030,"corporation":false,"usgs":false,"family":"Yingst","given":"R.","email":"","middleInitial":"Aileen","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":865151,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zorzano Mier, Maria-Paz","contributorId":302696,"corporation":false,"usgs":false,"family":"Zorzano Mier","given":"Maria-Paz","email":"","affiliations":[{"id":47594,"text":"Centro de Astrobiologia","active":true,"usgs":false}],"preferred":false,"id":865152,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":170054,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":865153,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bell, James F. III","contributorId":302697,"corporation":false,"usgs":false,"family":"Bell","given":"James F. III","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":865154,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Brown, Adrian J.","contributorId":193997,"corporation":false,"usgs":false,"family":"Brown","given":"Adrian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":865155,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Cloutis, Edward A.","contributorId":156313,"corporation":false,"usgs":false,"family":"Cloutis","given":"Edward","email":"","middleInitial":"A.","affiliations":[{"id":20308,"text":"Department of Geography, University of Winnipeg, Winnipeg, MB, Canada R3B 2E9","active":true,"usgs":false}],"preferred":false,"id":865156,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Cousin, Agnes","contributorId":291470,"corporation":false,"usgs":false,"family":"Cousin","given":"Agnes","affiliations":[{"id":27192,"text":"IRAP","active":true,"usgs":false}],"preferred":false,"id":865157,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":206170,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":865158,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Housrath, Elisabeth M.","contributorId":302698,"corporation":false,"usgs":false,"family":"Housrath","given":"Elisabeth","email":"","middleInitial":"M.","affiliations":[{"id":33776,"text":"University of Nevada, Las Vegas","active":true,"usgs":false}],"preferred":false,"id":865159,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Hayes, Alexander G.","contributorId":211180,"corporation":false,"usgs":false,"family":"Hayes","given":"Alexander","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":865160,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Kinch, Kjartan M.","contributorId":302699,"corporation":false,"usgs":false,"family":"Kinch","given":"Kjartan","email":"","middleInitial":"M.","affiliations":[{"id":65536,"text":"Niels Bohr Institute","active":true,"usgs":false}],"preferred":false,"id":865161,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Merusi, Marco","contributorId":302700,"corporation":false,"usgs":false,"family":"Merusi","given":"Marco","email":"","affiliations":[{"id":65536,"text":"Niels Bohr Institute","active":true,"usgs":false}],"preferred":false,"id":865162,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Million, Chase C.","contributorId":302701,"corporation":false,"usgs":false,"family":"Million","given":"Chase","email":"","middleInitial":"C.","affiliations":[{"id":64220,"text":"Million Concepts","active":true,"usgs":false}],"preferred":false,"id":865163,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Sullivan, Robert","contributorId":229494,"corporation":false,"usgs":false,"family":"Sullivan","given":"Robert","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":865164,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Siljestrom, Sandra M.","contributorId":302702,"corporation":false,"usgs":false,"family":"Siljestrom","given":"Sandra","email":"","middleInitial":"M.","affiliations":[{"id":65537,"text":"RISE Research Institutes of Sweden","active":true,"usgs":false}],"preferred":false,"id":865165,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"St. Clair, Michael","contributorId":302703,"corporation":false,"usgs":false,"family":"St. Clair","given":"Michael","email":"","affiliations":[{"id":64220,"text":"Million Concepts","active":true,"usgs":false}],"preferred":false,"id":865166,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}}
,{"id":70240262,"text":"sir20225128 - 2023 - Groundwater quality near the Montebello Oil Field, Los Angeles County, California","interactions":[],"lastModifiedDate":"2023-09-18T19:56:22.528962","indexId":"sir20225128","displayToPublicDate":"2023-02-06T13:11:18","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5128","displayTitle":"Groundwater Quality Near the Montebello Oil Field, Los Angeles County, California","title":"Groundwater quality near the Montebello Oil Field, Los Angeles County, California","docAbstract":"<p>Groundwater quality and potential sources and migration pathways of chemical constituents associated with hydrocarbon-bearing formations were assessed by the U.S. Geological Survey for the California State Water Resources Control Board Oil and Gas Regional Monitoring Program (RMP). Groundwater samples were collected as part of the RMP from 21 preexisting wells used for public supply, monitoring, or irrigation in and near the Montebello Oil Field and analyzed for constituents associated with hydrocarbon-bearing formations and constituents used to identify recently recharged groundwater and older groundwater. The newly collected RMP data were supplemented with historical sample data from 849 groundwater wells and analyzed with respect to explanatory factors that have the potential to influence water quality. Potential sources and migration pathways of fluids (water, gas, or oil) from hydrocarbon-bearing formations that could affect groundwater quality in the Montebello Oil Field include large volumes of recycled produced water (water withdrawn from an oil well and brought to the surface that may include oil, water, and gas from the geologic formation and water or gas injected for enhanced recovery) that have been reinjected since the 1960s to enhance oil production, oil and gas wells with well-integrity issues, and oil and gas wells with an uncemented annulus that intersects groundwater resource zones.<br>Trace amounts of dissolved petroleum hydrocarbons, thermogenic gas (propane through pentane range), or both, were detected in seven groundwater samples collected in 2014 and 2018 as part of the RMP. Five of those samples also contained manufactured volatile organic compounds and at least some modern-age groundwater (recharged during or after 1953), indicating that the hydrocarbons could have originated from surficial, or shallow, sources unrelated to oil and gas development. Two samples contained low concentrations of petroleum hydrocarbons (less than 0.1 microgram per liter) and did not contain detections of manufactured volatile organic compounds in pre-modern groundwater. These samples were collected from relatively deep wells (greater than 140 meters below land surface) with perforations completed in marine sediments that may contain water with similar compositions to produced water.<br>The RMP sample results and available historical data in and near the Montebello Oil Field did not provide conclusive evidence that oil and gas development has adversely affected groundwater resources. All samples with detectable petroleum hydrocarbons, thermogenic gases, or both, were collected from sites that also are within 500 meters of anthropogenic hydrocarbon sources not associated with oil and gas development or sources. In addition, naturally occurring sources of hydrocarbons that exist at intervals shallower than, or are in areas outside of, economically productive oil- and gas-producing zones could affect groundwater quality.<br>A definitive analysis of relations of groundwater quality to potential anthropogenic and natural explanatory factors was not possible because of the low density of new and historical sampling data, particularly in parts of the Montebello Oil Field where the largest relative risks to groundwater from hydrocarbon-bearing formations exist. Areas to consider for more detailed monitoring and analysis in the future that may present the largest relative potential risks to groundwater quality include (1) areas downgradient from historical surface ponds and sumps and (2) areas with co-located high net injection (oil reservoir injection exceeds production), old oil and gas wells that may be more likely to develop well-integrity issues than newer wells, and oil and gas wells with uncemented boreholes intersecting groundwater zones. To help fill gaps resulting from sparse groundwater wells, temperature and resistivity borehole log data could be analyzed to locate anomalies that identify potential areas where relatively warm or saline water from deeper hydrocarbon-bearing formations is present in groundwater.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225128","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Stanton, J.S., Land, M., Landon, M.K., Shimabukuro, D.H., McMahon, P.B., Davis, T.A., Hunt, A.G., and Sowers, T.A., 2023, Groundwater quality near the Montebello Oil Field, Los Angeles County, California: U.S. Geological Survey Scientific Investigations Report 2022–5128, 80 p., https://doi.org/10.3133/sir20225128.","productDescription":"Report: ix, 80 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-128118","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":412628,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FZ2SBH","text":"USGS data release","description":"USGS data release","linkHelpText":"Water chemistry data for samples collected at groundwater sites in the Montebello Oil Field study area, September 2014–October 2018, Los Angeles County, California"},{"id":412629,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5128/images"},{"id":412627,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225128/full","text":"Reports","linkFileType":{"id":5,"text":"html"},"description":"SIR 2022-5128"},{"id":412626,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5128/sir20225128.pdf","text":"Report","size":"5.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5128"},{"id":412625,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5128/coverthb.jpg"},{"id":412630,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5128/sir20225128.XML"}],"country":"United States","state":"California","otherGeospatial":"Montebello Oil Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.12,\n              34.04\n            ],\n            [\n              -118.12,\n              34.00\n            ],\n            [\n              -118.02,\n              34.00\n            ],\n            [\n              -118.02,\n              34.04\n            ],\n            [\n              -118.12,\n              34.04\n            ]\n          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jstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-2520-753X","contributorId":830,"corporation":false,"usgs":true,"family":"Stanton","given":"Jennifer","email":"jstanton@usgs.gov","middleInitial":"S.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Land, Michael 0000-0001-5141-0307 mtland@usgs.gov","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":171938,"corporation":false,"usgs":true,"family":"Land","given":"Michael","email":"mtland@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shimabukuro, David H. 0000-0002-6106-5284","orcid":"https://orcid.org/0000-0002-6106-5284","contributorId":208209,"corporation":false,"usgs":false,"family":"Shimabukuro","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":863144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":863145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Tracy A. 0000-0003-0253-6661 tadavis@usgs.gov","orcid":"https://orcid.org/0000-0003-0253-6661","contributorId":2715,"corporation":false,"usgs":true,"family":"Davis","given":"Tracy","email":"tadavis@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":863146,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":863147,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sowers, Theron A. 0000-0002-3208-5411","orcid":"https://orcid.org/0000-0002-3208-5411","contributorId":301944,"corporation":false,"usgs":false,"family":"Sowers","given":"Theron A.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":863148,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70256526,"text":"70256526 - 2023 - Predicting habitat and distribution of an interior highlands regional endemic winter stonefly (Allocapnia mohri) in Arkansas using random forest models","interactions":[],"lastModifiedDate":"2024-08-22T11:07:08.990132","indexId":"70256526","displayToPublicDate":"2023-02-06T11:29:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18324,"text":"Hydrobiology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting habitat and distribution of an interior highlands regional endemic winter stonefly (Allocapnia mohri) in Arkansas using random forest models","docAbstract":"<p><span>Stoneflies are a globally threatened aquatic insect order. In Arkansas, a diverse group of winter stonefly (Capniidae:&nbsp;</span><span class=\"html-italic\">Allocapnia</span><span>) have not been surveyed since the 1980s, likely because species-level identification requires the rarely-collected adult form.&nbsp;</span><i><span class=\"html-italic\">Allocapnia mohri</span></i><span>, a regional endemic, was previously commonly found in mountainous, intermittent streams from the Ouachita Mountains ecoregion north to the Ozark Highlands, but no species distributional models including land use or climate variables exist to our knowledge. We collected adults from 71 stream reaches from the historic Arkansas range from November to April 2020 and 2021. We modeled distributions using random forest (RF) models populated with landscape, climate, and both data to determine which were most predictive of species presence. Correlations between landscape or climate variables and presence were examined using multiple logistic regression. The landscape RF models performed better than the climate or landscape + climate RF models.&nbsp;</span><i><span class=\"html-italic\">A. mohri</span></i><span>&nbsp;presence sites tended to have a greater elevation, a lower mean July temperature, and a greater percentage of very slow infiltration soils in the watershed, compared to absence sites.&nbsp;</span><i><span class=\"html-italic\">A. mohri</span></i><span>&nbsp;was absent at the Ouachita Mountains sites and may be experiencing a range contraction or migration northward.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/hydrobiology2010013","usgsCitation":"Annaratone, B., Larson, C., Prater, C., Dowling, A., Magoulick, D.D., and Evans-White, M.A., 2023, Predicting habitat and distribution of an interior highlands regional endemic winter stonefly (Allocapnia mohri) in Arkansas using random forest models: Hydrobiology, v. 2, no. 1, p. 196-211, https://doi.org/10.3390/hydrobiology2010013.","productDescription":"16 p.","startPage":"196","endPage":"211","ipdsId":"IP-148164","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":444581,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/hydrobiology2010013","text":"Publisher Index Page"},{"id":433011,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.01694463644638,\n              36.49973760721201\n            ],\n            [\n              -94.64880267254001,\n              36.47406350173745\n            ],\n            [\n              -94.42836217709565,\n              35.38954127077116\n            ],\n            [\n              -94.47263609475836,\n              33.690237372303145\n            ],\n            [\n              -93.92329526083718,\n              33.50875350986783\n            ],\n            [\n              -93.15882305498532,\n              33.95704519399207\n            ],\n            [\n              -92.44070215460535,\n              34.644196725743356\n            ],\n            [\n              -91.1183522293626,\n              35.76377161713451\n            ],\n            [\n              -91.01694463644638,\n              36.49973760721201\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"2","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Annaratone, Brianna","contributorId":341024,"corporation":false,"usgs":false,"family":"Annaratone","given":"Brianna","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Camryn","contributorId":341025,"corporation":false,"usgs":false,"family":"Larson","given":"Camryn","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prater, Clay","contributorId":341026,"corporation":false,"usgs":false,"family":"Prater","given":"Clay","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dowling, Ashley","contributorId":341027,"corporation":false,"usgs":false,"family":"Dowling","given":"Ashley","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","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":907822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evans-White, Michelle A.","contributorId":341028,"corporation":false,"usgs":false,"family":"Evans-White","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":907823,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70266378,"text":"70266378 - 2023 - Evaluating the institutional and ecological effects of invasive species prevention policy: A case study from the U.S. Fish and Wildlife Service","interactions":[],"lastModifiedDate":"2025-05-06T13:53:23.902518","indexId":"70266378","displayToPublicDate":"2023-02-06T08:50:27","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":"Evaluating the institutional and ecological effects of invasive species prevention policy: A case study from the U.S. Fish and Wildlife Service","docAbstract":"<p>Wildlife and natural resource institutions play key roles in invasive species monitoring and management. Paradoxically, the extensive fieldwork undertaken by these institutions and their partners may result in the inadvertent movement and spread of invasive species within and between sensitive ecosystems. In this work, we consider the potential effects of internal guidelines and policies designed to prevent the spread of invasive species by the field activities of management institutions and their partners. Such policies could be high-leverage tools for invasive species prevention, however, as large, complex organizations seek to implement policies to limit the spread of invasive species, it may be challenging to accommodate the wide diversity of potential invasion pathways and mitigation efforts facilitated via the programs, activities, and ecosystems they manage. Prevention policies may also be met with resistance due to the costs of implementation unless concrete benefits can be demonstrated. Assessing and communicating the effects of prevention policies could motivate improved implementation and adherence by institutional units and partners and could help inform adaptive policy changes. However, assessing the effectiveness of invasive species prevention presents a unique set of challenges, including incomplete data on invasive species distribution and pathways, that make it difficult to measure the effects of prevention efforts. In this work, we present a conceptual framework for evaluating institutional policies for invasive species prevention. We describe a flexible, multifaceted approach that considers policy implementation and adherence as well as ecological outcomes. We discuss potential application of this framework using a policy recently implemented by the Pacific Region of the U.S. Fish and Wildlife Service to prevent the introduction and spread of invasive species by service personnel and partners during field activities as a case study. </p>","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2023.14.2.06","usgsCitation":"Couch, C., Peterson, J., and Heimowitz, P., 2023, Evaluating the institutional and ecological effects of invasive species prevention policy: A case study from the U.S. Fish and Wildlife Service: Management of Biological Invasions, v. 14, no. 2, p. 269-288, https://doi.org/10.3391/mbi.2023.14.2.06.","productDescription":"20 p.","startPage":"269","endPage":"288","ipdsId":"IP-136898","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490102,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.3391/mbi.2023.14.2.06","text":"Publisher Index Page"},{"id":485442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Couch, Claire E.","contributorId":354510,"corporation":false,"usgs":false,"family":"Couch","given":"Claire E.","affiliations":[{"id":84634,"text":"Oregon State University Department of Fisheries","active":true,"usgs":false}],"preferred":false,"id":935782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heimowitz, Paul","contributorId":354511,"corporation":false,"usgs":false,"family":"Heimowitz","given":"Paul","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":935784,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70241253,"text":"70241253 - 2023 - Ice and ocean constraints on early human migrations into North America along the Pacific Coast","interactions":[],"lastModifiedDate":"2023-03-16T13:29:11.876097","indexId":"70241253","displayToPublicDate":"2023-02-06T08:21:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Ice and ocean constraints on early human migrations into North America along the Pacific Coast","docAbstract":"<p><span>Founding populations of the first Americans likely occupied parts of Beringia during the Last Glacial Maximum (LGM). The timing, pathways, and modes of their southward transit remain unknown, but blockage of the interior route by North American ice sheets between ~26 and 14 cal kyr BP (ka) favors a coastal route during this period. Using models and paleoceanographic data from the North Pacific,&nbsp;we identify climatically favorable intervals when humans could have plausibly traversed the Cordilleran coastal corridor during the terminal Pleistocene. Model simulations suggest that northward coastal currents strengthened during the LGM and at times of enhanced freshwater input, making southward transit by boat more difficult. Repeated Cordilleran glacial-calving events would have further challenged coastal transit on land and at sea. Following these events, ice-free coastal areas opened and seasonal sea ice was present along the Alaskan margin until at least 15 ka. Given evidence for humans south of the ice sheets by 16 ka and possibly earlier, we posit that early people may have taken advantage of winter sea ice that connected islands and coastal refugia. Marine ice-edge habitats offer a rich food supply and traversing coastal sea ice could have mitigated the difficulty of traveling southward in watercraft or on land over glaciers.&nbsp;We identify 24.5 to 22 ka and 16.4 to 14.8 ka as environmentally favorable time periods for coastal migration, when climate conditions provided both winter sea ice and ice-free summer conditions that facilitated year-round marine resource diversity and multiple modes of mobility along the&nbsp;North Pacific coast.</span></p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2208738120","usgsCitation":"Praetorius, S.K., Alder, J.R., Condron, A., Mix, A., Walczak, M., Caissie, B.E., and Erlandson, J., 2023, Ice and ocean constraints on early human migrations into North America along the Pacific Coast: Proceedings of the National Academy of Sciences, v. 120, no. 7, e2208738120, 11 p., https://doi.org/10.1073/pnas.2208738120.","productDescription":"e2208738120, 11 p.","ipdsId":"IP-133916","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":444585,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://archimer.ifremer.fr/doc/00820/93170/","text":"Publisher Index Page"},{"id":435467,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95V8DP2","text":"USGS data release","linkHelpText":"Data release for Ice and ocean constraints on early human migrations into North America along the Pacific coast"},{"id":414279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Pacific Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.72062762561171,\n              38.37875574725757\n            ],\n            [\n              -119.99459846253501,\n              39.301388384686106\n            ],\n            [\n              -122.4899431341521,\n              50.08880882681328\n            ],\n            [\n              -133.2466928684764,\n              60.77522068257534\n            ],\n            [\n              -146.986168078397,\n              63.47516560131629\n            ],\n            [\n              -159.91403683656446,\n              70.55186684208343\n            ],\n            [\n              -169.5393000094379,\n              69.74709289484804\n            ],\n            [\n              -170.83530973680112,\n              63.391879804034915\n            ],\n            [\n              -179.9,\n              50.520343621759565\n            ],\n            [\n              -156.35796682332455,\n              54.28410261306894\n            ],\n            [\n              -142.96073969458683,\n              58.298844624993336\n            ],\n            [\n              -129.39963004812796,\n              49.10107755766387\n            ],\n            [\n              -126.51878468736493,\n              43.42260588965587\n            ],\n            [\n              -123.72062762561171,\n              38.37875574725757\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"120","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Praetorius, Summer K. 0000-0003-2683-3652","orcid":"https://orcid.org/0000-0003-2683-3652","contributorId":206966,"corporation":false,"usgs":true,"family":"Praetorius","given":"Summer","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":866663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - 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