{"pageNumber":"141","pageRowStart":"3500","pageSize":"25","recordCount":165309,"records":[{"id":70263400,"text":"70263400 - 2024 - Status and performance of the ShakeAlert® earthquake early warning system: 2019-2023","interactions":[],"lastModifiedDate":"2025-02-10T16:47:16.140108","indexId":"70263400","displayToPublicDate":"2024-08-16T10:42:40","publicationYear":"2024","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":"Status and performance of the ShakeAlert® earthquake early warning system: 2019-2023","docAbstract":"<p><span>The U.S. Geological Survey (USGS)‐operated ShakeAlert® system is the United States West Coast earthquake early warning system (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf41\">Given<span>&nbsp;</span><i>et&nbsp;al.</i>, 2018</a><span>). In this study we detail ShakeAlert’s performance during some of the largest events seen by the system thus far. Statewide public alerting using ShakeAlert messages was authorized in California in October 2019. Over the next few years, public alerts were expanded into Oregon and then into Washington (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf79\">U.S. Geological Survey, 2024</a><span>). ShakeAlert source results are routinely compared to the USGS Comprehensive Catalog (ComCat;&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf43\">Guy<span>&nbsp;</span><i>et&nbsp;al.</i>, 2015</a><span>;&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf80\">U.S. Geological Survey, Earthquake Hazards Program, 2017</a><span>), which contains the earthquake location and magnitude determined using complete waveform data.&nbsp;</span><strong>M</strong><span>&nbsp;4.5 and larger is the threshold used for public alerting and was deliberately set below the level where damage is likely to compensate for cases where the system underestimates the magnitude. Between 17 October 2019 and 1 September 2023, the ShakeAlert system created 95 events with maximum magnitude estimates of&nbsp;</span><strong>M</strong><span>&nbsp;≥4.5, the public alerting threshold. 94 of the 95 events were due to real earthquakes. Seven were categorized “false” per ShakeAlert’s internal definition that there was no matching catalog event within 100&nbsp;km and 30&nbsp;s of origin time; however, all but one of these were real earthquakes that were poorly located, primarily because they were at the edges of the seismic network. Three detected events were labeled “missed” because they were very poorly located (&gt;100&nbsp;km location error). In addition, the system did not produce solutions for four ComCat events&nbsp;</span><strong>M</strong><span>&nbsp;≥4.5 (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf80\">U.S. Geological Survey, Earthquake Hazards Program, 2017</a><span>), which were all at the edge of the alerting and network boundaries. The ShakeAlert system has accurately detected the majority of earthquakes that have occurred within the operational region since completing the public rollout, and alerts from the system have been delivered to millions of cell phone users throughout the West Coast.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230259","usgsCitation":"Lux, A., Smith, D., Böse, M., McGuire, J., Saunders, J., Huynh, M., Stubailo, I., Andrews, J.R., Lotto, G., Crowell, B., Crane, S., Allen, R.M., Given, D.D., Hartog, R., Heaton, T., Husker, A., Marty, J., O'Driscoll, L., Tobin, H.J., McBride, S.K., and Toomey, D., 2024, Status and performance of the ShakeAlert® earthquake early warning system: 2019-2023: Bulletin of the Seismological Society of America, v. 114, no. 6, p. 3041-3062, https://doi.org/10.1785/0120230259.","productDescription":"22 p.","startPage":"3041","endPage":"3062","ipdsId":"IP-158989","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, 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Technology","active":true,"usgs":false}],"preferred":false,"id":926835,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Huynh, Minh 0000-0002-5856-121X","orcid":"https://orcid.org/0000-0002-5856-121X","contributorId":350725,"corporation":false,"usgs":true,"family":"Huynh","given":"Minh","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926836,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stubailo, I.","contributorId":350737,"corporation":false,"usgs":false,"family":"Stubailo","given":"I.","affiliations":[{"id":83820,"text":"California Institute of Technology (Caltech) Seismological Laboratory","active":true,"usgs":false}],"preferred":false,"id":926837,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Andrews, Jennifer R 0000-0002-5679-5565","orcid":"https://orcid.org/0000-0002-5679-5565","contributorId":263435,"corporation":false,"usgs":false,"family":"Andrews","given":"Jennifer","email":"","middleInitial":"R","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":926838,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lotto, G.","contributorId":350738,"corporation":false,"usgs":false,"family":"Lotto","given":"G.","affiliations":[{"id":83821,"text":"University of Washington (UW), Seattle","active":true,"usgs":false}],"preferred":false,"id":926839,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crowell, B.","contributorId":350722,"corporation":false,"usgs":false,"family":"Crowell","given":"B.","affiliations":[{"id":28238,"text":"Univ of Washington","active":true,"usgs":false}],"preferred":false,"id":926840,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Crane, S.","contributorId":350739,"corporation":false,"usgs":false,"family":"Crane","given":"S.","affiliations":[{"id":83822,"text":"Natural Resources Canada (NRCAN), Ottawa","active":true,"usgs":false}],"preferred":false,"id":926841,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Allen, R. M.","contributorId":36170,"corporation":false,"usgs":false,"family":"Allen","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":926842,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Given, Douglas D. 0000-0002-3277-5121 doug@usgs.gov","orcid":"https://orcid.org/0000-0002-3277-5121","contributorId":201870,"corporation":false,"usgs":true,"family":"Given","given":"Douglas","email":"doug@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926843,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hartog, R.","contributorId":201873,"corporation":false,"usgs":false,"family":"Hartog","given":"R.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":926844,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Heaton, T.","contributorId":222141,"corporation":false,"usgs":false,"family":"Heaton","given":"T.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":926845,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Husker, A.","contributorId":350740,"corporation":false,"usgs":false,"family":"Husker","given":"A.","affiliations":[{"id":83820,"text":"California Institute of Technology (Caltech) Seismological Laboratory","active":true,"usgs":false}],"preferred":false,"id":926846,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Marty, J.","contributorId":350741,"corporation":false,"usgs":false,"family":"Marty","given":"J.","affiliations":[{"id":83823,"text":"UC Berkeley Seismological Laboratory (UCB)","active":true,"usgs":false}],"preferred":false,"id":926847,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"O'Driscoll, Leland","contributorId":350742,"corporation":false,"usgs":false,"family":"O'Driscoll","given":"Leland","affiliations":[{"id":83824,"text":"University of Oregon (UO), Eugene","active":true,"usgs":false}],"preferred":false,"id":926848,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Tobin, Harold J.","contributorId":350743,"corporation":false,"usgs":false,"family":"Tobin","given":"Harold","middleInitial":"J.","affiliations":[{"id":83821,"text":"University of Washington (UW), Seattle","active":true,"usgs":false}],"preferred":false,"id":926849,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"McBride, Sara K. 0000-0002-8062-6542 skmcbride@usgs.gov","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":224627,"corporation":false,"usgs":true,"family":"McBride","given":"Sara","email":"skmcbride@usgs.gov","middleInitial":"K.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":926944,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Toomey, D.","contributorId":350744,"corporation":false,"usgs":false,"family":"Toomey","given":"D.","affiliations":[{"id":83824,"text":"University of Oregon (UO), Eugene","active":true,"usgs":false}],"preferred":false,"id":926850,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70257569,"text":"70257569 - 2024 - Spatial variability of water temperature within the White River basin, Mount Rainier National Park Washington","interactions":[{"subject":{"id":70257569,"text":"70257569 - 2024 - Spatial variability of water temperature within the White River basin, Mount Rainier National Park Washington","indexId":"70257569","publicationYear":"2024","noYear":false,"title":"Spatial variability of water temperature within the White River basin, Mount Rainier National Park Washington"},"predicate":"SUPERSEDED_BY","object":{"id":70265982,"text":"sir20255029 - 2025 - Spatial stream network modeling of water temperature within the White River Basin, Mount Rainier National Park, Washington","indexId":"sir20255029","publicationYear":"2025","noYear":false,"title":"Spatial stream network modeling of water temperature within the White River Basin, Mount Rainier National Park, Washington"},"id":1}],"supersededBy":{"id":70265982,"text":"sir20255029 - 2025 - Spatial stream network modeling of water temperature within the White River Basin, Mount Rainier National Park, Washington","indexId":"sir20255029","publicationYear":"2025","noYear":false,"title":"Spatial stream network modeling of water temperature within the White River Basin, Mount Rainier National Park, Washington"},"lastModifiedDate":"2025-04-28T15:40:31.008668","indexId":"70257569","displayToPublicDate":"2024-08-16T10:22:40","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Spatial variability of water temperature within the White River basin, Mount Rainier National Park Washington","docAbstract":"<p><span>Water temperature is a primary control on the occurrence and distribution of cold-water species. Rivers draining Mount Rainier in western Washington, including the White River along its northern flank, support several cold-water fish populations, but the spatial distribution of water temperatures, particularly during late-summer base flow between August and September, and the climatic, hydrologic, and physical processes regulating this temperature distribution are not well understood. Spatial stream network (SSN) models, which are generalized linear models that incorporate streamwise spatial autocovariance structures, were fit to mean and seven-day average daily maximum water temperature for August and September for the White River basin located with Mount Rainier National Park. The SSN models were calibrated using water temperature measurements collected between 2010 and 2020. Significant covariates within the best-fit models included the proportion of ice cover and forest cover within the basin, mean August air temperature, the proportion of consolidated geologic units, and snow water equivalent. Statistical models that included spatial autocovariance structures had better predictive performance than those that did not. In addition, models of mean August and September water temperature had better predictive performance than those of seven-day average daily maximum temperature in August and September. Predictions of the spatial distribution of water temperature were similar between August and September with a general warming in the downstream part of main-stem White River compared to cooler water temperatures in the high-elevation headwater streams. Estimated water temperatures for the upper White River model are three to four degrees Celsius warmer for tributaries but one to two degrees cooler for the main stem compared to the regional-scale model. Differences between the upper White River SSN model and the regional-scale SSN model are attributed the upper White River SSN including water temperature observations specific to the upper White River, whereas water temperature observations from lower elevation streams and downstream of the Mount Rainer National Park boundary were used in the regional-scale model.</span></p>","language":"English","publisher":"EarthArXiv","doi":"10.31223/X5712P","usgsCitation":"Gendaszek, A., Leach, A.C., and Jaeger, K.L., 2024, Spatial variability of water temperature within the White River basin, Mount Rainier National Park Washington: EarthArXiv, https://doi.org/10.31223/X5712P.","productDescription":"33 p.","ipdsId":"IP-166723","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":433007,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":439208,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.31223/x5712p","text":"External Repository"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":343378,"corporation":false,"usgs":false,"family":"Gendaszek","given":"Andrew","middleInitial":"S.","affiliations":[{"id":82076,"text":"King County","active":true,"usgs":false}],"preferred":false,"id":910876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leach, Anya Clare 0000-0001-7828-8858","orcid":"https://orcid.org/0000-0001-7828-8858","contributorId":339960,"corporation":false,"usgs":true,"family":"Leach","given":"Anya","email":"","middleInitial":"Clare","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":910877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaeger, Kristin L. 0000-0002-1209-8506","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":206935,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":910878,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257561,"text":"70257561 - 2024 - Simulated sea level rise in coastal peat oils stimulates mercury methylation","interactions":[],"lastModifiedDate":"2024-09-23T16:20:31.643081","indexId":"70257561","displayToPublicDate":"2024-08-16T08:36:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5615,"text":"ACS Earth and Space Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Simulated sea level rise in coastal peat oils stimulates mercury methylation","docAbstract":"<p><span>Coastal wetlands are vulnerable to sea level rise with unknown consequences for mercury (Hg) cycling, particularly the potential for exacerbating neurotoxic methylmercury (MeHg) production and bioaccumulation in food webs. Here, the effect of sea level rise on MeHg formation in the Florida Everglades was evaluated by incubating peat cores from a freshwater wetland for 0–20 days in the laboratory at five salinity conditions (0.16–6.0 parts-per-thousand; 0.20–454 mg L</span><sup>–1</sup><span>&nbsp;sulfate (SO</span><sub>4</sub><sup>2–</sup><span>)) to simulate the onset of sea level rise within coastal margins. Isotopically enriched inorganic mercury (</span><sup>201</sup><span>Hg(II)) was used to track MeHg formation and peat-porewater partitioning. In all five salinity treatments, porewaters became anoxic within 1 day and became progressively enriched in dissolved organic matter (DOM) of greater aromatic composition over the 20 days compared to ambient conditions. In the four highest salinity treatments, SO</span><sub>4</sub><sup>2–</sup><span>&nbsp;concentrations decreased and sulfide concentrations increased over time due to microbial dissimilatory SO</span><sub>4</sub><sup>2–</sup><span>&nbsp;reduction that was concurrent with&nbsp;</span><sup>201</sup><span>Hg(II) methylation. Importantly, elevated salinity resulted in a greater proportion of produced Me</span><sup>201</sup><span>Hg observed in porewaters as opposed to bound to peat, interpreted to be due to the complexation of MeHg with aromatic DOM released from peat. The findings highlight the potential for enhanced production and mobilization of MeHg in coastal wetlands of the Florida Everglades due to the onset of saltwater intrusion.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsearthspacechem.4c00124","usgsCitation":"Cook, B.A., Peterson, B.D., Ogorek, J.M., Janssen, S., and Poulin, B., 2024, Simulated sea level rise in coastal peat oils stimulates mercury methylation: ACS Earth and Space Chemistry, v. 8, no. 9, p. 1784-1796, https://doi.org/10.1021/acsearthspacechem.4c00124.","productDescription":"13 p.","startPage":"1784","endPage":"1796","ipdsId":"IP-163692","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439209,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsearthspacechem.4c00124","text":"Publisher Index Page"},{"id":432933,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":434914,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P139NMHU","text":"USGS data release","linkHelpText":"Mercury Methylation Assay Along a Salinity Gradient in Coastal Peat Soils in the Florida Everglades"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.26748408478383,\n              26.417153260709895\n            ],\n            [\n              -81.55705618538097,\n              26.417153260709895\n            ],\n            [\n              -81.55705618538097,\n              25.075472168285998\n            ],\n            [\n              -80.26748408478383,\n              25.075472168285998\n            ],\n            [\n              -80.26748408478383,\n              26.417153260709895\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"8","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Cook, Bryce A.","contributorId":340463,"corporation":false,"usgs":false,"family":"Cook","given":"Bryce","email":"","middleInitial":"A.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":910839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Benjamin D.","contributorId":328487,"corporation":false,"usgs":false,"family":"Peterson","given":"Benjamin","email":"","middleInitial":"D.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":910840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":910841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":910842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poulin, Brett A.","contributorId":328488,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett A.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":910843,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257678,"text":"70257678 - 2024 - Trail sustainability broadly defined","interactions":[],"lastModifiedDate":"2024-08-23T13:43:06.541821","indexId":"70257678","displayToPublicDate":"2024-08-16T06:59:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5520,"text":"Journal of Outdoor Recreation and Tourism","active":true,"publicationSubtype":{"id":10}},"title":"Trail sustainability broadly defined","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">In this paper we provide a concise yet comprehensive examination of the importance and sustainability of trail networks, considering a diverse array of perspectives. Sustainability related to recreation infrastructure elements has been variously defined, with different disciplines often only considering one or two aspects of sustainability. In the context of trail networks, we suggest that there must be an equilibrium or harmony between human uses and the long-term sustainable management of the trail network's infrastructure, its protections of environmental and historic/cultural resources, and provision of diverse socio-economic benefits to visitors and surrounding communities. While trail sustainability has often been narrowly defined as accommodating visitation while minimizing environmental degradation, we emphasize a broader definition that encompasses four interconnected domains: managerial, resource, social, and economic. We suggest that a network of trails cannot be truly sustainable until scientists, land managers, and trail stewards fully consider and effectively address each of these dimensions.</p></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jort.2024.100805","usgsCitation":"Marion, J.L., and Wilkins, E.J., 2024, Trail sustainability broadly defined: Journal of Outdoor Recreation and Tourism, v. 47, 100805, 8 p., https://doi.org/10.1016/j.jort.2024.100805.","productDescription":"100805, 8 p.","ipdsId":"IP-141981","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":433054,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marion, Jeffrey L. 0000-0003-2226-689X jeff_marion@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-689X","contributorId":3614,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"jeff_marion@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":911389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilkins, Emily J. 0000-0003-3055-4808","orcid":"https://orcid.org/0000-0003-3055-4808","contributorId":328409,"corporation":false,"usgs":true,"family":"Wilkins","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":911390,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257160,"text":"70257160 - 2024 - Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data","interactions":[],"lastModifiedDate":"2024-08-12T12:11:35.568056","indexId":"70257160","displayToPublicDate":"2024-08-16T06:51:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3554,"text":"The Cryosphere","active":true,"publicationSubtype":{"id":10}},"title":"Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data","docAbstract":"<div id=\"abstract\" class=\"abstract sec\"><div class=\"abstract-content show-no-js\"><p id=\"d1e565\">Observations of glacier mass changes are key to understanding the response of glaciers to climate change and related impacts, such as regional runoff, ecosystem changes, and global sea level rise. Spaceborne optical and radar sensors make it possible to quantify glacier elevation changes, and thus multi-annual mass changes, on a regional and global scale. However, estimates from a growing number of studies show a wide range of results with differences often beyond uncertainty bounds. Here, we present the outcome of a community-based inter-comparison experiment using spaceborne optical stereo (ASTER) and synthetic aperture radar interferometry (TanDEM-X) data to estimate elevation changes for defined glaciers and target periods that pose different assessment challenges. Using provided or self-processed digital elevation models (DEMs) for five test sites, 12 research groups provided a total of 97 spaceborne elevation-change datasets using various processing approaches. Validation with airborne data showed that using an ensemble estimate is promising to reduce random errors from different instruments and processing methods but still requires a more comprehensive investigation and correction of systematic errors. We found that scene selection, DEM processing, and co-registration have the biggest impact on the results. Other processing steps, such as treating spatial data voids, differences in survey periods, or radar penetration, can still be important for individual cases. Future research should focus on testing different implementations of individual processing steps (e.g. co-registration) and addressing issues related to temporal corrections, radar penetration, glacier area changes, and density conversion. Finally, there is a clear need for our community to develop best practices, use open, reproducible software, and assess overall uncertainty to enhance inter-comparison and empower physical process insights across glacier elevation-change studies.</p></div></div><div id=\"citation-footer\" class=\"sec\"><br></div>","language":"English","publisher":"European Geophysical Union","doi":"10.5194/tc-18-3195-2024","usgsCitation":"Piermattei, L., Zemp, M., Sommer, C., Brun, F., Braun, M.H., Andreassen, L.M., Belart, J.M., Berthier, E., Bhattacharya, A., Boehm Vock, L., Bolch, T., Dehecq, A., Dussaillant, I., Falaschi, D., Florentine, C., Floricioiu, D., Ginzler, C., Guillet, G., Hugonnet, R., Kaab, A., King, O., Klug, C., Knuth, F., Krieger, L., La Frenierre, J., McNabb, R., McNeil, C., Prinz, R., Sass, L., Seehaus, T., Shean, D., Treichler, D., Wendt, A., and Yang, R., 2024, Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data: The Cryosphere, v. 18, no. 7, p. 3195-3230, https://doi.org/10.5194/tc-18-3195-2024.","productDescription":"36 p.","startPage":"3195","endPage":"3230","ipdsId":"IP-154831","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":439210,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-18-3195-2024","text":"Publisher Index Page"},{"id":432482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Piermattei, Livia","contributorId":342083,"corporation":false,"usgs":false,"family":"Piermattei","given":"Livia","email":"","affiliations":[],"preferred":false,"id":909583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zemp, Michael","contributorId":342071,"corporation":false,"usgs":false,"family":"Zemp","given":"Michael","email":"","affiliations":[],"preferred":false,"id":909600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sommer, Christian","contributorId":342072,"corporation":false,"usgs":false,"family":"Sommer","given":"Christian","email":"","affiliations":[],"preferred":false,"id":909601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brun, Fanny","contributorId":342073,"corporation":false,"usgs":false,"family":"Brun","given":"Fanny","email":"","affiliations":[],"preferred":false,"id":909602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Braun, Matthias H.","contributorId":342074,"corporation":false,"usgs":false,"family":"Braun","given":"Matthias","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":909603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andreassen, Liss M.","contributorId":342075,"corporation":false,"usgs":false,"family":"Andreassen","given":"Liss","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":909604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belart, Joaquin M. C.","contributorId":342076,"corporation":false,"usgs":false,"family":"Belart","given":"Joaquin","email":"","middleInitial":"M. C.","affiliations":[],"preferred":false,"id":909605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berthier, Etienne","contributorId":342077,"corporation":false,"usgs":false,"family":"Berthier","given":"Etienne","email":"","affiliations":[],"preferred":false,"id":909606,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bhattacharya, Atanu","contributorId":342078,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"Atanu","email":"","affiliations":[],"preferred":false,"id":909607,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Boehm Vock, Laura","contributorId":342079,"corporation":false,"usgs":false,"family":"Boehm Vock","given":"Laura","email":"","affiliations":[],"preferred":false,"id":909608,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bolch, Tobias","contributorId":342080,"corporation":false,"usgs":false,"family":"Bolch","given":"Tobias","email":"","affiliations":[],"preferred":false,"id":909609,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dehecq, Amaury","contributorId":299746,"corporation":false,"usgs":false,"family":"Dehecq","given":"Amaury","email":"","affiliations":[],"preferred":false,"id":909610,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dussaillant, Ines","contributorId":342081,"corporation":false,"usgs":false,"family":"Dussaillant","given":"Ines","email":"","affiliations":[],"preferred":false,"id":909611,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Falaschi, Daniel","contributorId":342082,"corporation":false,"usgs":false,"family":"Falaschi","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":909612,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":909613,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Floricioiu, Dana","contributorId":342084,"corporation":false,"usgs":false,"family":"Floricioiu","given":"Dana","email":"","affiliations":[],"preferred":false,"id":909614,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ginzler, Christian","contributorId":342085,"corporation":false,"usgs":false,"family":"Ginzler","given":"Christian","email":"","affiliations":[],"preferred":false,"id":909615,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Guillet, Gregoire","contributorId":342086,"corporation":false,"usgs":false,"family":"Guillet","given":"Gregoire","email":"","affiliations":[],"preferred":false,"id":909616,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Hugonnet, Romain","contributorId":342087,"corporation":false,"usgs":false,"family":"Hugonnet","given":"Romain","email":"","affiliations":[],"preferred":false,"id":909617,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Kaab, Andreas","contributorId":53175,"corporation":false,"usgs":false,"family":"Kaab","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":909618,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"King, Owen","contributorId":342089,"corporation":false,"usgs":false,"family":"King","given":"Owen","email":"","affiliations":[],"preferred":false,"id":909619,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Klug, Christoph","contributorId":342090,"corporation":false,"usgs":false,"family":"Klug","given":"Christoph","email":"","affiliations":[],"preferred":false,"id":909620,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Knuth, Friedrich","contributorId":299741,"corporation":false,"usgs":false,"family":"Knuth","given":"Friedrich","email":"","affiliations":[],"preferred":false,"id":909621,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Krieger, Lukas","contributorId":342091,"corporation":false,"usgs":false,"family":"Krieger","given":"Lukas","email":"","affiliations":[],"preferred":false,"id":909622,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"La Frenierre, Jeff","contributorId":342092,"corporation":false,"usgs":false,"family":"La Frenierre","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":909623,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"McNabb, Robert 0000-0003-0016-493X","orcid":"https://orcid.org/0000-0003-0016-493X","contributorId":293147,"corporation":false,"usgs":false,"family":"McNabb","given":"Robert","email":"","affiliations":[{"id":54679,"text":"Ulster University","active":true,"usgs":false}],"preferred":false,"id":909624,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"McNeil, Christopher 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":220853,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher","email":"cmcneil@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":909625,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Prinz, Rainer","contributorId":342093,"corporation":false,"usgs":false,"family":"Prinz","given":"Rainer","email":"","affiliations":[],"preferred":false,"id":909626,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":909627,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Seehaus, Thorsten","contributorId":342094,"corporation":false,"usgs":false,"family":"Seehaus","given":"Thorsten","email":"","affiliations":[],"preferred":false,"id":909628,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Shean, David","contributorId":299742,"corporation":false,"usgs":false,"family":"Shean","given":"David","affiliations":[],"preferred":false,"id":909629,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Treichler, Desiree","contributorId":342095,"corporation":false,"usgs":false,"family":"Treichler","given":"Desiree","email":"","affiliations":[],"preferred":false,"id":909630,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Wendt, Anja","contributorId":342096,"corporation":false,"usgs":false,"family":"Wendt","given":"Anja","email":"","affiliations":[],"preferred":false,"id":909631,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Yang, Ruitang","contributorId":342097,"corporation":false,"usgs":false,"family":"Yang","given":"Ruitang","email":"","affiliations":[],"preferred":false,"id":909632,"contributorType":{"id":1,"text":"Authors"},"rank":34}]}}
,{"id":70257731,"text":"70257731 - 2024 - Projected changes in mangrove distribution and vegetation structure under climate change in the southeastern United States","interactions":[],"lastModifiedDate":"2024-10-23T16:04:36.22601","indexId":"70257731","displayToPublicDate":"2024-08-16T06:37:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Projected changes in mangrove distribution and vegetation structure under climate change in the southeastern United States","docAbstract":"<h3 id=\"jbi14985-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>The climate change-induced transition from grass-dominated marshes to woody-plant-dominated mangrove forests has the potential to impact the ecosystem goods and services provided by coastal wetlands. To better anticipate and prepare for these impacts, there is a need to advance understanding of future changes in mangrove distribution and coastal wetland vegetation structural properties due to warming winters.</p><h3 id=\"jbi14985-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Southeastern United States.</p><h3 id=\"jbi14985-sec-0003-title\" class=\"article-section__sub-title section1\">Time Period</h3><p>Recent (1981–2010) and future (2071–2100).</p><h3 id=\"jbi14985-sec-0004-title\" class=\"article-section__sub-title section1\">Major Taxa Studied</h3><p>Coastal wetland vegetation.</p><h3 id=\"jbi14985-sec-0005-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We estimated changes in mangrove distribution and coastal wetland vegetation structure using known climate-ecological relationships, recent climate data for the period 1981–2010, and future projected climate data for the period 2071–2100. We quantified potential changes in mangrove presence, mangrove relative abundance, coastal wetland vegetation height, and coastal wetland vegetation aboveground biomass under two Shared Socio-Economic Pathway scenarios (SSPs; SSP2-4.5 and SSP5-8.5), which correspond to intermediate and high greenhouse gas emissions scenarios, respectively.</p><h3 id=\"jbi14985-sec-0006-title\" class=\"article-section__sub-title section1\">Results</h3><p>Our analyses indicate that mangrove presence and relative abundance will dramatically increase in the northern Gulf of Mexico and the southeast Atlantic coast of the United States, particularly under the high emissions scenario. Because of the higher stature of mangroves relative to salt marsh vegetation, this expansion will cause a transformative change in coastal wetland vegetation height and aboveground biomass in many areas. However, along the arid southern Texas coast, low precipitation and high salinities are expected to constrain mangrove expansion and growth.</p><h3 id=\"jbi14985-sec-0007-title\" class=\"article-section__sub-title section1\">Main Conclusions</h3><p>Our results show where and to what extent climate change, in the form of winter temperature warming, is projected to enable the transition from shorter, grass-dominated salt marshes to taller, woody plant-dominated mangrove forests in the southeastern United States, with consequent impacts on ecosystem goods and services.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jbi.14985","usgsCitation":"Bardou, R., Osland, M., Alemu I, J., Feher, L.C., Harlan, D.P., Scyphers, S.B., Shepard, C., Swinea, S.H., Thorne, K., Andrew, J.E., and Hughes, A.R., 2024, Projected changes in mangrove distribution and vegetation structure under climate change in the southeastern United States: Journal of Biogeography, v. 51, no. 11, p. 2285-2297, https://doi.org/10.1111/jbi.14985.","productDescription":"13 p.","startPage":"2285","endPage":"2297","ipdsId":"IP-159771","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439211,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jbi.14985","text":"Publisher Index Page"},{"id":433149,"rank":2,"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              -99.39786032599629,\n              24.136736510479963\n            ],\n            [\n              -75.31582907599602,\n              24.136736510479963\n            ],\n            [\n              -75.31582907599602,\n              38.69409218113995\n            ],\n            [\n              -99.39786032599629,\n              38.69409218113995\n            ],\n            [\n              -99.39786032599629,\n              24.136736510479963\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Bardou, Remi","contributorId":274822,"corporation":false,"usgs":false,"family":"Bardou","given":"Remi","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":911539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219805,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":911540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alemu I, Jahson B.","contributorId":343615,"corporation":false,"usgs":false,"family":"Alemu I","given":"Jahson B.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":911541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feher, Laura Colleen 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":336523,"corporation":false,"usgs":false,"family":"Feher","given":"Laura","email":"","middleInitial":"Colleen","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":911542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harlan, David P.","contributorId":343618,"corporation":false,"usgs":false,"family":"Harlan","given":"David","email":"","middleInitial":"P.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":911543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scyphers, Steven B.","contributorId":274810,"corporation":false,"usgs":false,"family":"Scyphers","given":"Steven","middleInitial":"B.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":911544,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shepard, Christine C.","contributorId":274812,"corporation":false,"usgs":false,"family":"Shepard","given":"Christine C.","affiliations":[{"id":56655,"text":"The Nature Conservancy, Gulf of Mexico Program, Key West, FL USA","active":true,"usgs":false}],"preferred":false,"id":911545,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Swinea, Savannah H.","contributorId":274811,"corporation":false,"usgs":false,"family":"Swinea","given":"Savannah","email":"","middleInitial":"H.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":911546,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thorne, Kalaina","contributorId":290482,"corporation":false,"usgs":false,"family":"Thorne","given":"Kalaina","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":911547,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Andrew, Jill E.","contributorId":343621,"corporation":false,"usgs":false,"family":"Andrew","given":"Jill","email":"","middleInitial":"E.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":911548,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hughes, A. Randall","contributorId":177827,"corporation":false,"usgs":false,"family":"Hughes","given":"A.","email":"","middleInitial":"Randall","affiliations":[],"preferred":false,"id":911549,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70263690,"text":"70263690 - 2024 - The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster Crassostrea virginica example","interactions":[],"lastModifiedDate":"2025-02-20T22:09:37.912852","indexId":"70263690","displayToPublicDate":"2024-08-15T16:06:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster <i>Crassostrea virginica </i>example","title":"The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster Crassostrea virginica example","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">Increasing reliance on numerical simulation models to help inform management and restoration choices benefits from careful consideration of critical early steps in model development. Along the northern coast of the Gulf of Mexico, the eastern oyster<span>&nbsp;</span><i>Crassostrea virginica</i><span>&nbsp;</span>fulfills important ecological and economic roles. Using the eastern oyster as an example, we draw on several recent frameworks outlining best practices for model development and application for restoration, conservation, and management.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">We identify priority model questions, outline a conceptual ecological model (CEM) to guide numerical model development, and use this framework to identify uncertainties and research needs.</p></div><div class=\" sec\"><div class=\"title\">Result</div><p class=\"chapter-para\">The CEM uses a nested design, identifying explicit vital rates, processes, attributes, and outcomes for the species (oysters), population, and metapopulation (i.e., network of populations) levels in response to drivers of species, population, and metapopulation changes and changing environmental factors. Most management actions related to oyster restoration and harvest affect population attributes directly, but many coastal management actions and changes (i.e., climate change and coastal and water resource engineering) impact environmental factors that alter vital rates and attributes of oysters, populations, and metapopulations.</p></div><div class=\" sec\"><div class=\"title\">Conclusion</div><p class=\"chapter-para\">Investment in studies targeting individual oyster‐ and population‐level multi‐stressor responses (filtration, respiration, growth, and reproduction) and improving hydrodynamic and environmental models targeting drivers that influence metapopulation vital rates and attributes (i.e., connectivity and substrate persistence) would contribute to reducing uncertainties. Development of numerical models covering the entire oyster life cycle and connectivity of populations using hydrodynamic models of current and predicted conditions to provide key abiotic and biotic factors influencing larval movement, recruitment, and on‐reef oyster vital rates would assist in balancing the goals of conservation, restoration, and fisheries management of this foundational estuarine species.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1002/mcf2.10297","usgsCitation":"La Peyre, M., Sable, S., Marshall, D., Irwin, E.R., and Hanson, C., 2024, The use of conceptual ecological models to identify critical data and uncertainties to support numerical modeling: The northern Gulf of Mexico eastern oyster Crassostrea virginica example: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 16, no. 4, 10297, 16 p., https://doi.org/10.1002/mcf2.10297.","productDescription":"10297, 16 p.","ipdsId":"IP-159595","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487658,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10297","text":"Publisher Index Page"},{"id":482302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":927834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sable, Shaye","contributorId":147275,"corporation":false,"usgs":false,"family":"Sable","given":"Shaye","affiliations":[{"id":16816,"text":"Dynamic Solutions, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":927835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Danielle A.","contributorId":239867,"corporation":false,"usgs":false,"family":"Marshall","given":"Danielle A.","affiliations":[{"id":48014,"text":"School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":927836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":927837,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hanson, Chad W.","contributorId":351071,"corporation":false,"usgs":false,"family":"Hanson","given":"Chad W.","affiliations":[{"id":65917,"text":"The Pew Charitable Trusts","active":true,"usgs":false}],"preferred":false,"id":927838,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257195,"text":"ofr20241040 - 2024 - Least Bell's Vireos and Southwestern Willow Flycatchers—Breeding activities and habitat use—2023 annual report","interactions":[],"lastModifiedDate":"2026-02-09T17:14:31.244181","indexId":"ofr20241040","displayToPublicDate":"2024-08-15T13:48:22","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1040","displayTitle":"Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey Flood Risk Management Project Area in San Diego County, California: Breeding Activities and Habitat Use—2023 Annual Report","title":"Least Bell's Vireos and Southwestern Willow Flycatchers—Breeding activities and habitat use—2023 annual report","docAbstract":"<h1>Executive Summary</h1><p>We completed four protocol surveys for Least Bell’s Vireos (<i>Vireo bellii pusillus</i>; hereinafter vireo) during the breeding season, supplemented by weekly territory monitoring visits between April 6 and July 20 at the San Luis Rey Flood Risk Management Project Area (hereinafter Project Area). We identified a total of 136 territorial male vireos; 121 were confirmed as paired, and 4 were confirmed as single males. For the remaining 11 territories, we were unable to confirm breeding status. In 2023, two transient vireos were detected. The vireo population in the Project Area increased by 2 percent from 2022 to 2023. Populations in southern San Diego County also increased (by 6 percent on the Otay River) or were stable (Salt Creek/Wolf Canyon). In contrast, the vireo population at Marine Corps Base Camp Pendleton (MCBCP) and at Marine Corps Air Station decreased by 2 and 10 percent, respectively.</p><p>We used an index of treatment (hereinafter Treatment Index) to evaluate the effect of ongoing vegetation clearing on the Project Area vireo population. The Treatment Index measures the cumulative effect of vegetation treatment within a territory by using the percentage area treated weighted by the number of years since treatment. We determined that the Treatment Index for an unoccupied habitat was more than four times higher than that of an occupied habitat, indicating that vireos selected habitats that were less treated in which to settle.</p><p>We monitored vireo nests at three general site types: (1) within the flood channel where non-native and native vegetation removal has occurred regularly (hereinafter Channel), (2) three sites near the flood channel where limited non-native and native vegetation removal has occurred (hereinafter Off-channel), and (3) three sites that have been actively restored by planting native vegetation (hereinafter Restoration). Nesting activity was monitored in 84 territories, 4 of which were occupied by single males. Overall, 46 percent of completed nests were successful, and nest success did not differ among the three sites. In 2023, we found that territories in the Channel had greater hatching success per egg compared to Off-channel, but there were no other differences with regard to clutch size, hatching, or fledging success among Channel, Off-channel, and Restoration sites. Overall breeding success and productivity were slightly higher in 2023 than in 2022, with pairs fledging an average±standard deviation of 3.1±2.1 young and 79 percent of pairs fledging at least 1 young.</p><p>To investigate if the cumulative years of treatment had an effect on vireo reproductive effort, we looked at the effects of the Treatment Index on reproductive parameters. Results from generalized linear models indicated that treatment did not have an effect on vireo nesting effort (the number of nest attempts) or the number of vireo fledglings per pair produced in 2023. Similarly, we did not detect an effect of Treatment Index on the daily survival rate (DSR) of nests.</p><p>Analysis of vegetation data collected at vireo nests from 2006 to 2023 did not reveal an effect of vegetation cover at the nest on DSR. We did find, however, that Channel nests were placed higher in and farther from the edge of the host plant than Off-channel nests. Within sites, we did not detect any differences in vegetation cover between successful and unsuccessful nests.</p><p>Red/arroyo willow (<i>Salix laevigata</i> or <i>Salix lasiolepis</i>) and mule fat (<i>Baccharis salicifolia</i>) were the species most commonly selected for nesting by vireos in all three site types. Black willow (<i>Salix gooddingii</i>) and sandbar willow (<i>Salix exigua</i>) also were commonly used. Vireos used a wider variety of species for nesting in Channel and Off-channel sites (10 and 13 species, respectively) compared to Restoration sites (2 species), although there was limited nesting in Restoration sites in 2023.</p><p>There were 51 vireos banded before the 2023 breeding season that were resighted and identified at the Project Area in 2023. Two of these vireos were originally banded outside of the Project Area, at the Santa Margarita River on MCBCP. Adult birds of known age ranged from 1 to 7 years old. Between 2006 and 2023, survival of males (66±11 percent) was consistently higher than that of females (60±12 percent). First-year birds from 2006 to 2022 had an average annual survival of 15±5 percent.</p><p>First-year dispersal in 2023 averaged 20.2±31.3 kilometers (km), with the longest dispersal (76.3 km) by a female that was recaptured at Wolf Canyon, a tributary to Otay River. From 2007 to 2012, most returning first-year vireos returned to the Project Area, whereas from 2014 to 2016, a greater proportion of returning birds dispersed to areas outside of the Project Area. From 2018 to 2022, the trend shifted, and more first-year vireos returned to the Project Area, except for 2022 when only one out of five first-year vireos returned to the Project Area. This trend continued in 2023: 71 percent of all first-year vireos returned to the Project Area, and 29 percent dispersed to areas outside of the Project Area (San Diego River and Wolf Canyon).</p><p>Most of the returning adult male vireos showed strong between-year fidelity to their previous territories. In 2023, 94 percent of males (34/36) occupied a territory that they had defended in 2022 (within 100 meters [m]). In 2023, 33 percent of females (1/3) detected returned to a territory they occupied in 2022. The average between-year movement for returning adult vireos was 0.2±0.9 km. The amount of treatment at adults’ 2022 territories did not affect the distance adults moved to their 2023 territories.</p><p>We completed four protocol surveys for the endangered Southwestern Willow Flycatcher (<i>Empidonax traillii extimus</i>; hereinafter flycatcher) at the Project Area between May 15 and July 21, 2023. In 2023, four transient Willow Flycatchers were detected in the Project Area. Two transients were detected in Reach 1, one in Reach 3a, and one in Whelan Mitigation. No resident flycatchers were documented in the Project Area in 2023.</p><p>A total of 46 vegetation transects (516 points) were sampled in the Project Area in 2023. There were 71 percent (368/516) of points located in the Channel, and 22 percent (113/516) were in Upper Pond. The remaining 7 percent (35/516) of points were at the Whelan Restoration site. Foliage cover below 1 m was higher at the Channel points and Upper Pond compared to Whelan Restoration. From 1 to 3 m, foliage cover was similar at all 3 sites; however, above 3 m foliage cover was higher in the Channel compared to the Upper Pond and Whelan Restoration sites. Average canopy height was higher in the Channel (5.6±3.8 m) compared to Upper Pond (4.7±2.7 m) and Whelan Restoration (4.0±2.0 m). From 2006 to 2023, total foliage cover declined from 2 to 3 m and above 6 m in the Channel, in contrast to Upper Pond and Whelan Restoration, where little directional change in vegetation cover has occurred and where vegetation cover has largely recovered to 2006 levels. Within the Channel, the steepest declines occurred between 2009 and 2013 and between 2014 and 2016. Since 2016, we observed an increase in foliage cover, largely herbaceous, between 0 and 2 m within the Channel. Although increases were observed at all height classes after 2016, percentage cover has remained below levels measured before 2009.</p><p>We sampled vegetation at 45 vireo nests and 45 random plots (territory plots) within territories in the Channel and Upper Pond after the 2023 breeding season. Vireos in the Channel established territories in areas with significantly more cover from 3 to 7 m but less cover below 1 m relative to the available habitat. Within territories, Channel vireos selected nest sites largely at random, but with significantly less foliage cover from 4 to 5 m. Vireos at Upper Pond established territories in areas with significantly more foliage cover below 4 m and from 5 to 6 m relative to available habitat. Within territories, Upper Pond vireos also selected nest sites at random except for a preference for sites with significantly less foliage cover below 1 m.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241040","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Houston, A., Allen, L.D., Mendia, S.M., and Kus, B.E., 2024, Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey Flood Risk Management Project Area in San Diego County, California: Breeding activities and habitat use—2023 Annual report: U.S. Geological Survey Open-File Report 2024–1040, 77 p., https://doi.org/10.3133/ofr20241040.","productDescription":"x, 77 p.","numberOfPages":"77","onlineOnly":"Y","ipdsId":"IP-163418","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":432608,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241040/full"},{"id":432607,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1040/images"},{"id":432606,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1040/ofr20241040.xml"},{"id":432605,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1040/ofr20241040.pdf","text":"Report","size":"5.7 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":432604,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1040/covrthb.jpg"}],"contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusion</li><li>References Cited</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-08-15","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Houston, Alexandra 0000-0002-8599-8265 ahouston@usgs.gov","orcid":"https://orcid.org/0000-0002-8599-8265","contributorId":139460,"corporation":false,"usgs":true,"family":"Houston","given":"Alexandra","email":"ahouston@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Lisa D. 0000-0002-6147-3165 ldallen@usgs.gov","orcid":"https://orcid.org/0000-0002-6147-3165","contributorId":196789,"corporation":false,"usgs":true,"family":"Allen","given":"Lisa","email":"ldallen@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendia, Shannon M. 0000-0003-4520-7024","orcid":"https://orcid.org/0000-0003-4520-7024","contributorId":223100,"corporation":false,"usgs":true,"family":"Mendia","given":"Shannon M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909708,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257564,"text":"70257564 - 2024 - Climate and weather drivers in southern California Santa Ana Wind and non-Santa Wind fires","interactions":[],"lastModifiedDate":"2024-09-09T17:11:00.235641","indexId":"70257564","displayToPublicDate":"2024-08-15T10:03:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Climate and weather drivers in southern California Santa Ana Wind and non-Santa Wind fires","docAbstract":"Background. Autumn and winter Santa Ana Winds (SAW) are responsible for the largest and most destructive wildfires in southern California. Aims. 1) To contrast fires ignited on SAW days vs non-SAW days, 2) evaluate the predictive ability of the Canadian Fire Weather Index (CFWI) for these two fire types, and 3) determine climate and weather factors responsible for the largest wildfires. Methods. Cal Fire FRAP fire data were coupled with hourly climate data from 4 stations, and with regional indices of SAW wind speed, and with seasonal drought from the Palmer Drought Severity Index. Key results. Fires on non-SAW days were more numerous and burned more area, and were significant May to October. CFWI indices were tied to fire occurrence and size for both non-SAW and SAW days, and in the days following ignition. Multiple regression models for months with greatest area burned explained up to a quarter of variation in area burned. Conclusions. The drivers of fire size differ between non-SAW and SAW fires. The best predictor of fire size for non-SAW fires was drought during the prior five years, followed by current-year vapor pressure deficit. For SAW fires, wind speed followed by drought were most important.","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF23190","usgsCitation":"Keeley, J., Flannigan, M., Brown, T.J., Rolinski, T., Cayan, D., Syphard, A., Guzman-Morales, J., and Gershunov, A., 2024, Climate and weather drivers in southern California Santa Ana Wind and non-Santa Wind fires: International Journal of Wildland Fire, v. 33, WF23190, 16 p., https://doi.org/10.1071/WF23190.","productDescription":"WF23190, 16 p.","ipdsId":"IP-158752","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439212,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wf23190","text":"Publisher Index Page"},{"id":433636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.89507141501502,\n              35.25764436587998\n            ],\n            [\n              -120.89507141501502,\n              32.577742693551556\n            ],\n            [\n              -116.66533508689008,\n              32.577742693551556\n            ],\n            [\n              -116.66533508689008,\n              35.25764436587998\n            ],\n            [\n              -120.89507141501502,\n              35.25764436587998\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"33","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":910844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flannigan, Michael","contributorId":343369,"corporation":false,"usgs":false,"family":"Flannigan","given":"Michael","affiliations":[{"id":64504,"text":"Thompson Rivers University","active":true,"usgs":false}],"preferred":false,"id":910845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Tim J.","contributorId":343370,"corporation":false,"usgs":false,"family":"Brown","given":"Tim","email":"","middleInitial":"J.","affiliations":[{"id":37795,"text":"Southern California Edison","active":true,"usgs":false}],"preferred":false,"id":910846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rolinski, Tom","contributorId":343372,"corporation":false,"usgs":false,"family":"Rolinski","given":"Tom","email":"","affiliations":[{"id":37795,"text":"Southern California Edison","active":true,"usgs":false}],"preferred":false,"id":910847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cayan, Daniel","contributorId":213044,"corporation":false,"usgs":false,"family":"Cayan","given":"Daniel","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":910848,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Syphard, Alexandra D.","contributorId":298289,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra D.","affiliations":[{"id":38279,"text":"Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":910849,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guzman-Morales, Janin","contributorId":343375,"corporation":false,"usgs":false,"family":"Guzman-Morales","given":"Janin","email":"","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":910850,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gershunov, Alexander","contributorId":261326,"corporation":false,"usgs":false,"family":"Gershunov","given":"Alexander","affiliations":[{"id":52819,"text":"Climate, Atmospheric Science and Physical Oceanography Division, Scripps Institution of Oceanography, University of California, San Diego, San Diego, CA 92093, USA","active":true,"usgs":false}],"preferred":false,"id":910851,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70257286,"text":"sim3523 - 2024 - Estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia","interactions":[],"lastModifiedDate":"2025-08-14T19:12:11.272365","indexId":"sim3523","displayToPublicDate":"2024-08-15T08:38:34","publicationYear":"2024","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":"3523","displayTitle":"Estimation of Reservoir Storage Capacity and Geomorphic Change Detection Analysis From a Multibeam Bathymetric Survey of Randy Poynter Lake, Rockdale County, Georgia","title":"Estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia","docAbstract":"<p><span>Rockdale County Department of Water Resources has a directive to update estimates of the reservoir storage capacity of Randy Poynter Lake, located in northern Georgia, and to assess recent sedimentation and associated storage capacity loss. In 2022, the U.S. Geological Survey completed a multibeam bathymetric survey of Randy Poynter Lake to update storage capacity estimates and to quantify storage capacity change since the first multibeam bathymetric survey in 2012 in consideration of estimated errors inherent to bathymetric surveys. Data from the 2022 survey were used to generate contours of the reservoir as well as compute storage capacity at regular increments of water-surface elevation. Storage capacity comparisons between 2012 and 2022 at Randy Poynter Lake show minimal changes that are within the estimated uncertainties, with consistent or slightly increased storage capacities observed at most water-surface elevations and reductions observed at the remaining few elevations. Comparison of the multibeam bathymetric data collected in 2012 with data collected in 2022 further allowed for a formal geomorphic change detection analysis to map, quantify, and infer causation of morphological change over time with respect to a level of detectable change. The volume change in Randy Poynter Lake for the decade between 2012 and 2022 was slightly net-depositional and within the estimated uncertainty. The spatial distribution of sediment deposition was primarily concentrated in the northern portion of the lake, where the principal tributary flows into Randy Poynter Lake. The results of the geomorphic change analysis were used to further understand the future implications to storage capacity change. Despite the challenges of confirming systematic biases because of uncertainties exceeding the observed changes, insights from the study help predict long-term reservoir sediment accumulation, indicating a reservoir half-life extending about 650 years from 2022 on the basis of the current sediment yield estimates.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3523","issn":"2329-132X","collaboration":"Prepared in cooperation with the Rockdale County Department of Water Resources","usgsCitation":"Whaling, A.R., and Bolton, W.J., 2024, Estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia (ver. 1.1, 2025): U.S. Geological Survey Scientific Investigations Map 3523, 2 sheets, https://doi.org/10.3133/sim3523.","productDescription":"2 Sheets: 47.00 x 32.23 inches; 2 Data Releases","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-157799","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":494128,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118630.htm","linkFileType":{"id":5,"text":"html"}},{"id":432656,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3523/sim3523.pdf","size":"13.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3523"},{"id":432655,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3523/coverthb2.jpg"},{"id":432657,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G8HZTY","text":"USGS Data Release","linkHelpText":"Watershed characteristics and streamwater constituent load data, models, and estimates for 15 watersheds in Gwinnett County, Georgia, 2000–2021"},{"id":432658,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G9YVDU","text":"USGS Data Release","linkHelpText":"Bathymetric and supporting data for estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia"},{"id":489473,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3523/sim3523_verHist.txt","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"Georgia","county":"Rockdale County","otherGeospatial":"Randy Poynter Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.9579460131726,\n              33.762755823898075\n            ],\n            [\n              -83.9579460131726,\n              33.72795567856667\n            ],\n            [\n              -83.92619350646511,\n              33.72795567856667\n            ],\n            [\n              -83.92619350646511,\n              33.762755823898075\n            ],\n            [\n              -83.9579460131726,\n              33.762755823898075\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: August 15, 2024; Version 1.1: June 03, 2025","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\" href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211<br></p><p><a id=\"LPlnk\" class=\"OWAAutoLink\" title=\"https://pubs.usgs.gov/contact\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Geomorphic Change Detection</li><li>Uncertainty</li><li>Storage Capacity Change</li><li>Potential Implications to Reservoir Life</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-08-15","revisedDate":"2025-06-03","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Whaling, A.R. 0000-0003-1375-8323","orcid":"https://orcid.org/0000-0003-1375-8323","contributorId":342233,"corporation":false,"usgs":true,"family":"Whaling","given":"A.R.","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolton, W.J. 0000-0002-5120-2695","orcid":"https://orcid.org/0000-0002-5120-2695","contributorId":342234,"corporation":false,"usgs":true,"family":"Bolton","given":"W.J.","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909853,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257483,"text":"70257483 - 2024 - Foraging ecology of southern sea otters at the northern range extent informs regional population dynamics","interactions":[],"lastModifiedDate":"2024-08-16T12:21:45.4335","indexId":"70257483","displayToPublicDate":"2024-08-15T07:19:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Foraging ecology of southern sea otters at the northern range extent informs regional population dynamics","docAbstract":"<p class=\"abstract_block\">Sea otters<span>&nbsp;</span><i>Enhydra lutris</i><span>&nbsp;</span>are vital keystone predators throughout the North Pacific that were nearly extirpated during the maritime fur trade. Recovery of southern sea otters<span>&nbsp;</span><i>E. l. nereis</i><span>&nbsp;</span>has proceeded slowly, with much of their historical range remaining unoccupied, resulting in reduced ecosystem functioning. Numerous studies have used foraging metrics to assess the population status of southern sea otters throughout their current range, but little is known about the northern range extent, where a stall in expansion has limited recovery. Thus, we collected census and foraging data of sea otters at Año Nuevo State Park, California, from 2019 to 2021 to determine sea otter abundance, diet composition, diet diversity, and average energy intake rate at the northern range edge. We then assessed regional population status by comparing values from Año Nuevo with previously collected data from other locations in California, including high-density, range center sites and low-density, range periphery sites. We found that sea otter density at Año Nuevo was greater than surrounding areas at the northern range periphery, and the average (±95% CI) energy intake (9.51 ± 0.91 kcal min<sup>-1</sup>) more closely resembled values observed at high-density sites. Further, dietary diversity (using the Shannon-Wiener index,<span>&nbsp;</span><i>H</i>) was intermediate between previously studied high- and low-density populations (<i>H</i><span>&nbsp;</span>= 1.81), with crabs making up the largest proportion of the diet (~56%). Overall, this study highlights possible effects of occupation time and range stagnation, identifies unique aspects of the prey resource base at Año Nuevo, and provides insight into the ongoing lack of northern range expansion.</p>","language":"English","publisher":"Inter-Research","doi":"10.3354/esr01348","usgsCitation":"Lyon, S., Tomoleoni, J.A., Yee, J.L., Fujii, J., and Thometz, N.M., 2024, Foraging ecology of southern sea otters at the northern range extent informs regional population dynamics: Endangered Species Research, v. 54, p. 383-394, https://doi.org/10.3354/esr01348.","productDescription":"12 p.","startPage":"383","endPage":"394","ipdsId":"IP-165429","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01348","text":"Publisher Index Page"},{"id":432853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Año Nuevo State Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.40204225488112,\n              37.18784613344222\n            ],\n            [\n              -122.40204225488112,\n              37.091990782817675\n            ],\n            [\n              -122.26301521264912,\n              37.091990782817675\n            ],\n            [\n              -122.26301521264912,\n              37.18784613344222\n            ],\n            [\n              -122.40204225488112,\n              37.18784613344222\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"54","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Lyon, Sophia N.","contributorId":342938,"corporation":false,"usgs":false,"family":"Lyon","given":"Sophia N.","affiliations":[{"id":16849,"text":"University of San Francisco","active":true,"usgs":false}],"preferred":false,"id":910514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tomoleoni, Joseph A. 0000-0001-6980-251X jtomoleoni@usgs.gov","orcid":"https://orcid.org/0000-0001-6980-251X","contributorId":167551,"corporation":false,"usgs":true,"family":"Tomoleoni","given":"Joseph","email":"jtomoleoni@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":910515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":910516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fujii, Jessica 0000-0003-4794-479X","orcid":"https://orcid.org/0000-0003-4794-479X","contributorId":139956,"corporation":false,"usgs":false,"family":"Fujii","given":"Jessica","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":910517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thometz, Nicole M.","contributorId":342939,"corporation":false,"usgs":false,"family":"Thometz","given":"Nicole","email":"","middleInitial":"M.","affiliations":[{"id":16849,"text":"University of San Francisco","active":true,"usgs":false}],"preferred":false,"id":910518,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257632,"text":"70257632 - 2024 - Paired comparisons with quiet surface drones show evidence of fish behavioral response to motorized vessels during acoustic surveys in Lake Superior","interactions":[],"lastModifiedDate":"2024-12-10T15:13:27.024267","indexId":"70257632","displayToPublicDate":"2024-08-15T07:02:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Paired comparisons with quiet surface drones show evidence of fish behavioral response to motorized vessels during acoustic surveys in Lake Superior","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>Acoustic surveys are important for fish stock assessments, but fish responses to survey vessels can bias acoustic estimates. We leveraged quiet uncrewed surface vessels (USVs) to characterize potential bias in acoustic surveys. Five conventional motorized ships overtook USVs from astern over 2 km transects at night in Lake Superior in 2022. We examined the difference in acoustic backscatter, average target depth, and average target strength (TS) between USV and motorized vessels. Although sound level measurements from the motorized vessels sometimes exceeded recommendations for scientific vessels, we did not detect differences in acoustic measures among survey vessels. However, the USVs recorded 2 dB higher acoustic backscatter and TS than motorized vessels, leading to ~15% higher fish densities with drones when using in situ TS and echo integration. Differences in fish density would increase to 30-60% if a standard TS value was applied. Target depth did not differ between USVs and motorized ships. These results are consistent with a change in orientation but not depth of insonified fish and limited horizontal avoidance of motorized survey vessels.</div></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0087","usgsCitation":"Evans, T.M., Rudstam, L.G., Sethi, S.A., Yule, D.L., Warner, D., Farha, S., Barnard, A.R., Dufour, M.R., O’Brien, T.P., Nasworthy, K., Harding, I., Ray, B.A., Isaac, E., Blankenheim, J., Blair, H.B., Watkins, J.M., Senczyszyn, S.A., Roberts, J., and Esselman, P., 2024, Paired comparisons with quiet surface drones show evidence of fish behavioral response to motorized vessels during acoustic surveys in Lake Superior: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 12, p. 1740-1851, https://doi.org/10.1139/cjfas-2024-0087.","productDescription":"12 p.","startPage":"1740","endPage":"1851","ipdsId":"IP-163912","costCenters":[{"id":191,"text":"Colorado Water Science 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,{"id":70257196,"text":"sir20245072 - 2024 - Water-quality constituent concentrations and loads computed using real-time water-quality data for the Republican River, Clay Center, Kansas, August 2018 through July 2023","interactions":[],"lastModifiedDate":"2024-08-15T14:58:29.532097","indexId":"sir20245072","displayToPublicDate":"2024-08-15T06:48:21","publicationYear":"2024","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":"2024-5072","displayTitle":"Water-Quality Constituent Concentrations and Loads Computed Using Real-Time Water-Quality Data for the Republican River, Clay Center, Kansas, August 2018 through July 2023","title":"Water-quality constituent concentrations and loads computed using real-time water-quality data for the Republican River, Clay Center, Kansas, August 2018 through July 2023","docAbstract":"<p>Milford Lake, the largest reservoir by surface area in Kansas, has had confirmed harmful algal blooms every summer since reporting began in 2011, except 2018–19. Milford Lake has been listed as impaired and designated hypereutrophic under section 303(d) of the 1972 Clean Water Act. In 2014, the Kansas Department of Health and Environment established a total maximum daily load for eutrophication and dissolved oxygen impairments. In 2018, the Natural Resources Conservation Service funded the Regional Conservation Partnership Program for the Milford Lake Watershed to focus on best management practices in the Lower Republican River Basin. The U.S. Geological Survey, in cooperation with the Kansas Water Office, completed this study to assess and quantify water-quality constituent concentrations and loads for total nitrogen (TN), total phosphorus (TP), and suspended sediment (SS) using previously published models for the Republican River near Clay Center, Kansas (U.S. Geological Survey station 06856600), about 15 miles upstream from Milford Lake, during August 1, 2018, through July 31, 2023. TN, TP, and SS concentrations and loads were monitored because of their relation to water supply and water-quality issues in Milford Lake, including nutrient and sediment transport, taste-and-odor events, potentially toxic cyano-harmful algal bloom events, and subsequent downstream transport of contaminants. Data from this report can be used to evaluate changing conditions, provide science-based information for decision making, and help meet regulatory requirements.</p><p>The study mean annual loads for TN and TP were greater than the reported mean annual total maximum daily load and exceeded the watershed reduction goals as well as Kansas nonpoint source reduction goals defined by the Watershed Restoration and Protection Strategy for the Lower Republican watershed. TN and TP annual loads during 2019–20 were greater than the defined mean annual total maximum daily load. During 2022, TN and TP annual loads were less than the Kansas nonpoint source reduction goal and during 2023 were less than the watershed reduction goal. SS loads were less than the mean annual sedimentation rate computed from the total maximum daily load for the entirety of the study period, and the study mean annual load was 72 percent less than the designed annual reservoir sedimentation rate for Milford Lake.</p><p>Data collected during the study period represented a wide range of streamflow and water-quality conditions at the Clay Center site, ranging from low-flow with less frequent runoff during 2023 to high-flow with frequent runoff during 2018. Nutrient reduction goals were only met in the final 2 years of the study period when annual mean flow conditions were lower than normal, indicating that goals may be unattainable during average or high-flow conditions. In all years except 2019, the annual mean SS load was less than the 20-year sediment load reduction target. Although annual SS loads at the Clay Center site generally decreased over time, corresponding reductions in annual streamflow indicated that these reductions may primarily be related to less frequent runoff from the upstream basin. Continued water-quality monitoring and tracking of best management practices are necessary to understand the success of Regional Conservation Partnership Program efforts to reduce nutrient transport in the Milford Lake Watershed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245072","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Kramer, A.R., and Abel, J.R., 2024, Water-quality constituent concentrations and loads computed using real-time water-quality data for the Republican River, Clay Center, Kansas, August 2018 through July 2023: U.S. Geological Survey Scientific Investigations Report 2024–5072, 21 p., https://doi.org/10.3133/sir20245072.","productDescription":"Report: v, 21 p.; Dataset","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-160554","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":432611,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5072/coverthb.jpg"},{"id":432612,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5072/sir20245072.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5072"},{"id":432613,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5072/sir20245072.XML"},{"id":432614,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5072/images/"},{"id":432615,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245072/full"},{"id":432616,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"}],"country":"United States","state":"Kansas","otherGeospatial":"Clay Center, Republican River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.25,\n              40\n            ],\n            [\n              -98.25,\n              39\n            ],\n            [\n              -96.5,\n              39\n            ],\n            [\n              -96.5,\n              40\n            ],\n            [\n              -98.25,\n              40\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/kswsc\" data-mce-href=\"https://www.usgs.gov/centers/kswsc\">Kansas Water Science Center</a><br>U.S. Geological Survey<br>1217 Biltmore Drive<br>Lawrence, KS 66049</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction and Background</li><li>Purpose and Scope</li><li>Methods</li><li>Continuous and Discretely Monitored Water-Quality Variables</li><li>Computed Concentrations, Loads, and Comparison to Watershed Goals</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Supplemental data for discrete water-quality samples collected at the Republican River near Clay Center, Kansas</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-08-15","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kramer, Ariele R. 0000-0002-7075-3310 akramer@usgs.gov","orcid":"https://orcid.org/0000-0002-7075-3310","contributorId":185245,"corporation":false,"usgs":true,"family":"Kramer","given":"Ariele","email":"akramer@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":909709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abel, Justin R. 0000-0003-0191-8000 jabel@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-8000","contributorId":250679,"corporation":false,"usgs":true,"family":"Abel","given":"Justin","email":"jabel@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":909710,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70259649,"text":"70259649 - 2024 - Using systematic conservation planning to recover climate resilient habitat for threatened and endangered species while retaining areas of cultural importance","interactions":[],"lastModifiedDate":"2024-10-18T12:14:07.089363","indexId":"70259649","displayToPublicDate":"2024-08-14T07:11:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18016,"text":"Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Using systematic conservation planning to recover climate resilient habitat for threatened and endangered species while retaining areas of cultural importance","docAbstract":"<div class=\"html-p\">The effective management of at-risk species often requires fine-scale actions by natural resource managers. However, balancing these actions with concurrent land uses is challenging, particularly when compounded by the interplay of climate shifts, and escalating wildland–urban interface conflicts. We used spatial prioritization tools designed for biodiversity conservation to help resource managers on the Island of Lānaʻi prioritize mutually exclusive land use objectives: endangered species recovery and subsistence and recreational hunting. We weighed the current and anticipated future distributions of threatened and endangered plant species against the distribution of non-native game mammals to plan for species recovery more effectively. Prioritization results identified multiple footprints that could support recovery of all endangered species targets in climate resilient areas while retaining the majority of existing hunting areas. However, very little native vegetation was retained in conservation footprints without deliberate inclusion, which increased footprint area by 268%. Scenarios which prioritized contiguous conservation areas also dramatically increased conservation footprint area, although these scenarios may reduce associated fencing costs. This work demonstrates how spatial prioritization may guide localized species recovery efforts by supporting long-term conservation planning that addresses anticipated climate-driven increases in conflict between conservation and other land uses, with clear applicability beyond Lānaʻi.</div><div id=\"html-keywords\"><br></div>","language":"English","publisher":"MDPI","doi":"10.3390/conservation4030028","usgsCitation":"Leopold, C., Fortini, L., Sprague, J., Sprague, R., and Hess, S.C., 2024, Using systematic conservation planning to recover climate resilient habitat for threatened and endangered species while retaining areas of cultural importance: Conservation, v. 4, no. 3, p. 435-451, https://doi.org/10.3390/conservation4030028.","productDescription":"17 p.","startPage":"435","endPage":"451","ipdsId":"IP-131052","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":466966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/conservation4030028","text":"Publisher Index Page"},{"id":462996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Leopold, Christina 0000-0003-0499-3196","orcid":"https://orcid.org/0000-0003-0499-3196","contributorId":178961,"corporation":false,"usgs":false,"family":"Leopold","given":"Christina","affiliations":[],"preferred":false,"id":916138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":916139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sprague, Jonathan","contributorId":240998,"corporation":false,"usgs":false,"family":"Sprague","given":"Jonathan","email":"","affiliations":[{"id":48186,"text":"Pulama Lana‘i","active":true,"usgs":false}],"preferred":false,"id":916140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sprague, Rachel","contributorId":334926,"corporation":false,"usgs":false,"family":"Sprague","given":"Rachel","email":"","affiliations":[{"id":80285,"text":"Pūulama Lanai","active":true,"usgs":false}],"preferred":false,"id":916141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hess, Steven C.","contributorId":176679,"corporation":false,"usgs":false,"family":"Hess","given":"Steven","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":916142,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257747,"text":"70257747 - 2024 - Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests","interactions":[],"lastModifiedDate":"2024-08-26T11:56:03.560648","indexId":"70257747","displayToPublicDate":"2024-08-14T06:53:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1028,"text":"Biology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests","docAbstract":"<div class=\"article__body \"><div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Characterizing the population density of species is a central interest in ecology. Eastern North America is the global hotspot for biodiversity of plethodontid salamanders, an inconspicuous component of terrestrial vertebrate communities, and among the most widespread is the eastern red-backed salamander,<span>&nbsp;</span><i>Plethodon cinereus</i>. Previous work suggests population densities are high with significant geographic variation, but comparisons among locations are challenged by lack of standardization of methods and failure to accommodate imperfect detection. We present results from a large-scale research network that accounts for detection uncertainty using systematic survey protocols and robust statistical models. We analysed mark–recapture data from 18 study areas across much of the species range. Estimated salamander densities ranged from 1950 to 34 300 salamanders ha<sup>−1</sup>, with a median of 9965 salamanders ha<sup>−1</sup>. We compared these results to previous estimates for<span>&nbsp;</span><i>P. cinereus</i><span>&nbsp;</span>and other abundant terrestrial vertebrates. We demonstrate that overall the biomass of<span>&nbsp;</span><i>P. cinereus</i>, a secondary consumer, is of similar or greater magnitude to widespread primary consumers such as white-tailed deer (<i>Odocoileus virginianus</i>) and<span>&nbsp;</span><i>Peromyscus</i><span>&nbsp;</span>mice, and two to three orders of magnitude greater than common secondary consumer species. Our results add empirical evidence that<span>&nbsp;</span><i>P. cinereus</i>, and amphibians in general, are an outsized component of terrestrial vertebrate communities in temperate ecosystems.</p></div></div></div>","language":"English","publisher":"The Royal Society","doi":"10.1098/rsbl.2024.0033","usgsCitation":"Campbell Grant, E.H., Fleming, J.E., Bastiaans, E., Brand, A., Brooks, J., Devlin, C., Epp, K., Evans, M., Fisher-Reid, M., Gratwicke, B., Grayson, K., Haydt, N., Hernandez-Pacheco, R., Hocking, D.J., Hyde, A., Losito, M., MacKnight, M., Matlaga, T., Mead, L., Munoz, D.J., Peterman, W.B., Puza, V., Shafer, C., Sterrett, S., Sutherland, C., Thompson, L.M., Warwick, A.R., Wright, A.D., Yurewicz, K., and Miller, D., 2024, Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests: Biology Letters, v. 20, no. 8, https://doi.org/10.1098/rsbl.2024.0033.","ipdsId":"IP-160646","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":494430,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1098/rsbl.2024.0033","text":"External Repository"},{"id":433152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":911571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleming, Jillian Elizabeth 0000-0003-2570-914X","orcid":"https://orcid.org/0000-0003-2570-914X","contributorId":238931,"corporation":false,"usgs":true,"family":"Fleming","given":"Jillian","email":"","middleInitial":"Elizabeth","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":911572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bastiaans, Elizabeth","contributorId":343640,"corporation":false,"usgs":false,"family":"Bastiaans","given":"Elizabeth","email":"","affiliations":[{"id":82135,"text":"Department of Biology, State University of New York - College at Oneonta,","active":true,"usgs":false}],"preferred":false,"id":911573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brand, Adrianne 0000-0003-2664-0041","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":304281,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":911574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, Jacey","contributorId":343641,"corporation":false,"usgs":false,"family":"Brooks","given":"Jacey","email":"","affiliations":[{"id":39006,"text":"Frostburg State University","active":true,"usgs":false}],"preferred":false,"id":911575,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Devlin, Catherine","contributorId":343642,"corporation":false,"usgs":false,"family":"Devlin","given":"Catherine","email":"","affiliations":[{"id":82138,"text":"Greenfield Community College","active":true,"usgs":false}],"preferred":false,"id":911576,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Epp, Kristen","contributorId":343643,"corporation":false,"usgs":false,"family":"Epp","given":"Kristen","email":"","affiliations":[{"id":82139,"text":"Department of Biology, Eastern Connecticut State University,","active":true,"usgs":false}],"preferred":false,"id":911577,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evans, Matt","contributorId":343644,"corporation":false,"usgs":false,"family":"Evans","given":"Matt","email":"","affiliations":[{"id":82140,"text":"National Zoo and Conservation Biology Institute, Department of Herpetology,","active":true,"usgs":false}],"preferred":false,"id":911578,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fisher-Reid, M. Caitlin","contributorId":343645,"corporation":false,"usgs":false,"family":"Fisher-Reid","given":"M. Caitlin","affiliations":[{"id":82141,"text":"Department of Biological Sciences, Bridgewater State University","active":true,"usgs":false}],"preferred":false,"id":911579,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gratwicke, Brian 0000-0002-7332-4060","orcid":"https://orcid.org/0000-0002-7332-4060","contributorId":329542,"corporation":false,"usgs":false,"family":"Gratwicke","given":"Brian","email":"","affiliations":[{"id":78635,"text":"Smithsonian’s National Zoo and Conservation Biology Institute, Center for Species Survival, USA","active":true,"usgs":false}],"preferred":false,"id":911580,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Grayson, Kristine","contributorId":303669,"corporation":false,"usgs":false,"family":"Grayson","given":"Kristine","email":"","affiliations":[{"id":65870,"text":"University of Richmond; Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":911581,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Haydt, Natalie","contributorId":343646,"corporation":false,"usgs":false,"family":"Haydt","given":"Natalie","email":"","affiliations":[{"id":39006,"text":"Frostburg State University","active":true,"usgs":false}],"preferred":false,"id":911582,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hernandez-Pacheco, Raisa","contributorId":343647,"corporation":false,"usgs":false,"family":"Hernandez-Pacheco","given":"Raisa","email":"","affiliations":[{"id":82142,"text":"University of Richmond; California State University","active":true,"usgs":false}],"preferred":false,"id":911583,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hocking, Daniel J.","contributorId":214288,"corporation":false,"usgs":false,"family":"Hocking","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":39006,"text":"Frostburg State University","active":true,"usgs":false}],"preferred":false,"id":911584,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hyde, Amanda","contributorId":343648,"corporation":false,"usgs":false,"family":"Hyde","given":"Amanda","email":"","affiliations":[{"id":82138,"text":"Greenfield Community College","active":true,"usgs":false}],"preferred":false,"id":911585,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Losito, Michael","contributorId":343649,"corporation":false,"usgs":false,"family":"Losito","given":"Michael","email":"","affiliations":[{"id":82143,"text":"Department of Fisheries, Wildlife and Environmental Science SUNY","active":true,"usgs":false}],"preferred":false,"id":911586,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"MacKnight, Maisie","contributorId":343650,"corporation":false,"usgs":false,"family":"MacKnight","given":"Maisie","email":"","affiliations":[{"id":82144,"text":"Department of Ecosystem Science and Management, Penn State University","active":true,"usgs":false}],"preferred":false,"id":911587,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Matlaga, Tanya","contributorId":343651,"corporation":false,"usgs":false,"family":"Matlaga","given":"Tanya","email":"","affiliations":[{"id":82145,"text":"Department of Biology, Susquehanna University","active":true,"usgs":false}],"preferred":false,"id":911588,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Mead, Louise","contributorId":343652,"corporation":false,"usgs":false,"family":"Mead","given":"Louise","email":"","affiliations":[{"id":82146,"text":"Department of Integrative Biology, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":911589,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Munoz, David J.","contributorId":343653,"corporation":false,"usgs":false,"family":"Munoz","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":82144,"text":"Department of Ecosystem Science and Management, Penn State University","active":true,"usgs":false}],"preferred":false,"id":911590,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Peterman, William B.","contributorId":343654,"corporation":false,"usgs":false,"family":"Peterman","given":"William","email":"","middleInitial":"B.","affiliations":[{"id":82147,"text":"School of Environment and Natural Resources, The Ohio State Uniiversity","active":true,"usgs":false}],"preferred":false,"id":911591,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Puza, Veronica","contributorId":343655,"corporation":false,"usgs":false,"family":"Puza","given":"Veronica","email":"","affiliations":[{"id":82148,"text":"The New Jersey School of Conservation","active":true,"usgs":false}],"preferred":false,"id":911592,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Shafer, Charles 0000-0002-1864-2461 cshafer@usgs.gov","orcid":"https://orcid.org/0000-0002-1864-2461","contributorId":238932,"corporation":false,"usgs":true,"family":"Shafer","given":"Charles","email":"cshafer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":911593,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Sterrett, Sean","contributorId":274333,"corporation":false,"usgs":false,"family":"Sterrett","given":"Sean","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":911594,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Sutherland, Chris","contributorId":150670,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[],"preferred":false,"id":911595,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Thompson, Lily M.","contributorId":343656,"corporation":false,"usgs":false,"family":"Thompson","given":"Lily","email":"","middleInitial":"M.","affiliations":[{"id":82149,"text":"Department of Foresty and Environmental Conservation, Clemson University","active":true,"usgs":false}],"preferred":false,"id":911596,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Warwick, Alexa R.","contributorId":343657,"corporation":false,"usgs":false,"family":"Warwick","given":"Alexa","email":"","middleInitial":"R.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":911597,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Wright, Alexander D.","contributorId":343658,"corporation":false,"usgs":false,"family":"Wright","given":"Alexander","email":"","middleInitial":"D.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":911598,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Yurewicz, Kerry","contributorId":343659,"corporation":false,"usgs":false,"family":"Yurewicz","given":"Kerry","email":"","affiliations":[{"id":82150,"text":"Biological Sciences, Plymouth State University","active":true,"usgs":false}],"preferred":false,"id":911599,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Miller, David A. W.","contributorId":332095,"corporation":false,"usgs":false,"family":"Miller","given":"David A. W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":911600,"contributorType":{"id":1,"text":"Authors"},"rank":30}]}}
,{"id":70257165,"text":"sir20245043 - 2024 - Wildland fire effects on sediment, salinity, and selenium yields in a basin underlain by Cretaceous marine shales near Rangely, Colorado","interactions":[],"lastModifiedDate":"2024-08-21T18:00:17.340563","indexId":"sir20245043","displayToPublicDate":"2024-08-13T16:30:00","publicationYear":"2024","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":"2024-5043","displayTitle":"Wildland Fire Effects on Sediment, Salinity, and Selenium Yields in a Basin Underlain by Cretaceous Marine Shales near Rangely, Colorado","title":"Wildland fire effects on sediment, salinity, and selenium yields in a basin underlain by Cretaceous marine shales near Rangely, Colorado","docAbstract":"<p>Understanding and quantifying soil erosion from rangelands is a high priority for land managers, especially in areas underlain by Cretaceous Mancos Shale, which is a natural source of sediment, salinity, and selenium to surface waters in many areas of western Colorado and eastern Utah. The purpose of this report is to present the results of a U.S. Geological Survey study that assessed sediment, salinity, and selenium yields after the Dead Dog wildfire (fire began June 11, 2017) in northwestern Colorado. Two methodologies were used to quantify erosion, with different data requirements and analytical complexity. The first approach was the use of a process-based erosion model, the Watershed Erosion Prediction Project, which uses inputs of climate, topography, vegetation, and soils data from existing datasets to predict erosion, making this approach easily extensible to other areas. The second approach required more complex data collection and was used to measure erosion and deposition by differencing digital elevation models created from uncrewed aerial vehicle imagery collected in 2016 (pre-fire) and 2021 (post-fire). Sediment, salinity, and selenium yields were calculated from the volumetric estimates of erosion from both methods, and a discussion of factors that may have contributed to overall findings, including vegetation, fire effects, and soil characteristics, is included.</p><p>The two approaches yielded different outputs. Results from the Watershed Erosion Prediction Project model indicated that almost no erosion occurred after the Dead Dog fire. However, morphological changes in the study basin after the Dead Dog fire were visible in the pre- and post-fire imagery and measured in the digital elevation model differencing technique, with net erosion occurring in channel and landscape extents, though calculated erosion rates and salinity and selenium yields were relatively small. Visible and measured morphological changes consisted primarily of incision and deposition within stream channels and rill incision and expansion on steeper slopes. Widespread sheet erosion was not evident. Much of the new erosion originated within, and immediately below, previously vegetated areas that were then burned by the wildfire. Greater erosion rates and salinity and selenium yields were measured in the channel extent relative to the landscape extent. Calculated erosion rates ranged from 0.24 to 0.45 megagrams per hectare per year. These results indicate that the Dead Dog fire resulted in increased erosion in the study basin, yet these effects were relatively small based on the overall magnitude of modeled and measured erosion from the Watershed Erosion Prediction Project and the digital elevation model differencing technique. Minimal erosion in the basin is likely due to local site characteristics typical of soils derived from Mancos Shale, including the presence of robust physical crusts and biological soil crusts, and limitations of the methods based on data availability. Focusing uncrewed aerial vehicle flights on key areas (individual steep slopes, high-intensity burn areas, specific stream reaches) could likely increase understanding of erosional process with less effort and error than doing landscape-level flights.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245043","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Day, N.K., Preston, T.M., and Longley, P.C., 2024, Wildland fire effects on sediment, salinity, and selenium yields in a basin underlain by Cretaceous marine shales near Rangely, Colorado: U.S. Geological Survey Scientific Investigations Report 2024–5043, 31 p., https://doi.org/10.3133/sir20245043.","productDescription":"Report: vi, 31 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-144341","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":433027,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245043/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5043"},{"id":432498,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5043/coverthb.jpg"},{"id":432499,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5043/sir20245043.pdf","text":"Report","size":"21.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5043"},{"id":432500,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91KRAAD","text":"USGS data release","linkHelpText":"Orthoimagery, digital elevation, digital terrain, final surface, and vegetation classification models for four stream catchments in western Colorado 2016"},{"id":432501,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZA125K","text":"USGS data release","linkHelpText":"Erosion rates and salinity and selenium yields in a basin near Rangely, Colorado following the 2017 Dead Dog wildfire as modeled by WEPP and measured from UAV"},{"id":432610,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5043/sir20245043.xml"},{"id":432609,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5043/images"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.99103575578066,\n              40.20515709262918\n            ],\n            [\n              -108.99103575578066,\n              40.015728339502004\n            ],\n            [\n              -108.68461550797593,\n              40.015728339502004\n            ],\n            [\n  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0000-0002-8768-5705","orcid":"https://orcid.org/0000-0002-8768-5705","contributorId":207302,"corporation":false,"usgs":true,"family":"Day","given":"Natalie","middleInitial":"K.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Preston, Todd M. 0000-0002-8812-9233","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":204676,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":909636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Longley, Patrick C. 0000-0001-8767-5577","orcid":"https://orcid.org/0000-0001-8767-5577","contributorId":268147,"corporation":false,"usgs":true,"family":"Longley","given":"Patrick","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909637,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257042,"text":"sir20245022 - 2024 - Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York","interactions":[],"lastModifiedDate":"2026-02-03T18:05:12.063702","indexId":"sir20245022","displayToPublicDate":"2024-08-13T11:55:00","publicationYear":"2024","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":"2024-5022","displayTitle":"Monitoring and Simulation of Hydrology, Suspended Sediment, and Nutrients in Selected Tributary Watersheds of Lake Erie, New York","title":"Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York","docAbstract":"<p>The U.S. Geological Survey, in cooperation with Erie County, New York, the New York State Department of Environmental Conservation, and the Great Lakes Restoration Initiative, collected water-quality samples in nine selected New York tributaries to Lake Erie, computed estimates of suspended sediment and nutrient loads using the R scripting package rloadest and used the Soil and Water Assessment Tool (SWAT) to simulate hydrology and suspended sediment and nutrient loads from these tributaries. This project was undertaken to better understand the water quality of New York’s inputs into eastern Lake Erie.</p><p>Water-quality samples for suspended sediment, nitrogen, and phosphorus were collected at 19 sampling sites in the Lake Erie Basin in New York. Daily and monthly suspended sediment and nutrient loads were computed with regressions of streamflow and suspended sediment and nutrient concentrations using rloadest.</p><p>SWAT models of nine watersheds were created using publicly available data; and the loads calculated by rloadest. Twenty-six SWAT model scenarios were created to explore the effects that best management practices (BMPs; 21 scenarios), point source discharges (4 scenarios), and green infrastructure (1 scenario) can have on the water quality of the nine tributaries to Lake Erie. BMP scenarios for the watershed models included combinations of agricultural BMPs applied at varying implementation levels across the study watersheds, including cover crops, reduced tillage, nutrient management plans, and filter strips. The BMP scenarios showed small reductions of total nitrogen and total phosphorus. The scenarios have variable suspended sediment load results, with both increases and decreases of sediment modeled. The point source scenarios result in lower total phosphorus loads. The green infrastructure scenario shows only minimal reduction of suspended sediment and nutrient loads from the Buffalo River watershed but shows substantial reductions locally.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245022","collaboration":"Prepared in cooperation with Erie County, New York, the New York State Department of Environmental Conservation, and the Great Lakes Restoration Initiative","usgsCitation":"Merriman, K.R., Fisher, B.N., Nystrom, E.A., Bunch, A.R., Welk, R.J., and Kappel, W.M., 2024, Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York: U.S. Geological Survey Scientific Investigations Report 2024–5022, 152 p., https://doi.org/10.3133/sir20245022.","productDescription":"Report: xii, 152 p.; 2 Data Releases","numberOfPages":"152","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-142479","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":432349,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5022/images/"},{"id":432347,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245022/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5022 HTML"},{"id":432346,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5022/sir20245022.pdf","text":"Report","size":"49.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5022 PDF"},{"id":432345,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5022/coverthb.jpg"},{"id":432350,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N6IQZT","text":"USGS data release","linkHelpText":"Data and rloadest models used to estimate sediment and nutrient loads in selected New York tributaries to eastern Lake Erie"},{"id":499450,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117172.htm","linkFileType":{"id":5,"text":"html"}},{"id":432351,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U2IF5I","text":"USGS data release","linkHelpText":"SWAT Model Archive for Simulation of Hydrology, Suspended Sediment and Nutrients in Selected Tributary Watersheds of Lake Erie, New York"},{"id":432348,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5022/sir20245022.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5022 XML"}],"country":"United States","state":"New York","otherGeospatial":"Lake Erie watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.05117923155397,\n              43.180030390880034\n            ],\n            [\n              -79.03978515463244,\n              43.13847304512555\n            ],\n            [\n              -79.06582875902379,\n              43.119465987668804\n            ],\n            [\n              -79.05606240737677,\n              43.10639520955428\n            ],\n            [\n              -79.07233966012183,\n              43.07667851399174\n            ],\n            [\n              -78.99420884694702,\n              43.056462925290475\n            ],\n            [\n              -79.0235079018874,\n              43.00648994913769\n            ],\n            [\n              -79.01048609969206,\n              42.9779156948116\n            ],\n            [\n              -78.95514344035962,\n              42.9540936681897\n            ],\n            [\n         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and Validation</li><li>SWAT Model Results</li><li>Model Limitations</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Sensitivity Analysis of Soil and Water Assessment Tool Model Parameters</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-08-13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Merriman, Katherine R. 0000-0002-1303-2410","orcid":"https://orcid.org/0000-0002-1303-2410","contributorId":203352,"corporation":false,"usgs":true,"family":"Merriman","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Benjamin N. 0000-0003-1308-1906","orcid":"https://orcid.org/0000-0003-1308-1906","contributorId":220916,"corporation":false,"usgs":true,"family":"Fisher","given":"Benjamin","email":"","middleInitial":"N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunch, Aubrey R. 0000-0002-2453-3624 aurbunch@usgs.gov","orcid":"https://orcid.org/0000-0002-2453-3624","contributorId":4351,"corporation":false,"usgs":true,"family":"Bunch","given":"Aubrey","email":"aurbunch@usgs.gov","middleInitial":"R.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909269,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welk, Robert J. 0000-0003-0852-5584","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":202876,"corporation":false,"usgs":true,"family":"Welk","given":"Robert J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909270,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909271,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257115,"text":"dr1199 - 2024 - Developing version 2 of satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands","interactions":[],"lastModifiedDate":"2026-01-27T17:33:44.344417","indexId":"dr1199","displayToPublicDate":"2024-08-13T11:41:16","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1199","displayTitle":"Developing Version 2 of Satellite-Estimated Precipitation Monthly Reports for Selected Locations in the Republic of the Marshall Islands","title":"Developing version 2 of satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands","docAbstract":"The Republic of the Marshall Islands (RMI; also known as the Marshall Islands) is a nation of more than 30 low-lying atolls and islands, most of which are inhabited, dispersed across an Exclusive Economic Zone over 770,000 square miles in the tropical central north Pacific Ocean. The study objectives and methods were originally presented in U.S. Geological Survey Data Report 1181 and are summarized herein. Monitoring environmental conditions for potential drought risk is challenging in such a dispersed island nation, and current drought hazard products provide generalities regarding conditions on a broad geographic scale. In 2022–23, a team of U.S. Geological Survey scientists, and managers of natural resources and natural hazards in the RMI, used Integrated Multi-satellitE Retrievals for Global Precipitation Measurement satellite estimates of precipitation to develop content and a template for timely monthly reporting of precipitation for 23 inhabited atolls and islands. After a year of report production and user feedback, the team incorporated lessons learned and revised user priorities to update the content and layout of the template. This data report describes the collaboration process and results of revising the report content and layout into version 2 of the monthly satellite-estimated precipitation report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1199","usgsCitation":"Senay, G.B., Helweg, D.A., Kagone, S., Cecere, T., Eastmond, T., Koch, A., Nelson, K., and Jack, R., 2024, Developing version 2 of satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands: U.S. Geological Survey Data Report 1199, 5 p., https://doi.org/10.3133/dr1199.","productDescription":"Repoort: v, 5 p.; Data Release","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-165909","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":499109,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117173.htm","linkFileType":{"id":5,"text":"html"}},{"id":432440,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1199/full"},{"id":432439,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1199/images/"},{"id":432434,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1199/coverthb.jpg"},{"id":432441,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90J1426","text":"USGS data release","linkHelpText":"Monthly satellite-estimated precipitation reports for the Republic of the Marshall Islands (ver. 2.0, February 2024)"},{"id":432436,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1199/dr1199.XML"},{"id":432435,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1199/dr1199.pdf","text":"Report","size":"793 kB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1199"}],"otherGeospatial":"Marshall Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              162.8861369517378,\n              13.791877936345344\n            ],\n            [\n              162.8861369517378,\n              3.8606298266441286\n            ],\n            [\n              173.2572307017365,\n              3.8606298266441286\n            ],\n            [\n              173.2572307017365,\n              13.791877936345344\n            ],\n            [\n              162.8861369517378,\n              13.791877936345344\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/eros\" href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-08-13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":909461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helweg, David A. 0000-0002-8640-9856","orcid":"https://orcid.org/0000-0002-8640-9856","contributorId":221111,"corporation":false,"usgs":true,"family":"Helweg","given":"David A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":909462,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":216913,"corporation":false,"usgs":true,"family":"Kagone","given":"Stefanie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":909463,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cecere, Thomas 0000-0001-5254-8404 tcecere@usgs.gov","orcid":"https://orcid.org/0000-0001-5254-8404","contributorId":221727,"corporation":false,"usgs":true,"family":"Cecere","given":"Thomas","email":"tcecere@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":909464,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eastmond, Tiare","contributorId":304080,"corporation":false,"usgs":false,"family":"Eastmond","given":"Tiare","email":"","affiliations":[{"id":25469,"text":"U.S. Agency for International Development","active":true,"usgs":false}],"preferred":false,"id":909469,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koch, Amy","contributorId":304081,"corporation":false,"usgs":false,"family":"Koch","given":"Amy","email":"","affiliations":[{"id":65354,"text":"USDA Natural Resources Conservation Service","active":true,"usgs":false}],"preferred":false,"id":909470,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nelson, Kurtis 0000-0003-4911-4511 knelson@usgs.gov","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":3602,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis","email":"knelson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":909465,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Randon, Jack","contributorId":342007,"corporation":false,"usgs":false,"family":"Randon","given":"Jack","email":"","affiliations":[{"id":65963,"text":"Ministry of Natural Resources and Commerce, Republic of the Marshall Islands","active":true,"usgs":false}],"preferred":false,"id":909471,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263804,"text":"70263804 - 2024 - Fish size structures in lakes of the Lower Mississippi River floodplain","interactions":[],"lastModifiedDate":"2025-02-25T15:18:18.696211","indexId":"70263804","displayToPublicDate":"2024-08-13T09:13:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Fish size structures in lakes of the Lower Mississippi River floodplain","docAbstract":"<ol class=\"\"><li>The Lower Mississippi River has a floodplain that includes &gt;1350 perennial lakes carved by shifts in river courses and other hydro-fluvial processes over eons. Notwithstanding their similar provenances, these waterbodies exhibit an immense variety of morphologies and successional stages that illustrate their natural trajectory from aquatic to forested wetlands. A result of this geographical, morphological and temporal diversity is dynamic and varied fish communities. We examined how size structures of fish communities in these floodplain lakes were associated with key in-lake and off-lake environmental drivers.</li><li>Fish lengths were collected with standardised procedures in a sample of 30 of these lakes to construct a lake-by-length group matrix. Likewise, in-lake and off-lake environmental descriptors were collected to construct a lake-by-covariate matrix. Distance-based linear models were used to assess associations between fish size structure and environmental descriptors.</li><li>Smaller fish were typically associated with increasing levels of turbidity, chlorophyll-<i>a</i>, phycocyanin and surrounding agriculture. Shallow, hypereutrophic floodplain lakes associated with agricultural landscapes and reduced connectivity experience harsh physicochemical environments. These conditions appeared to hinder the formation of sustained fish communities but may confer a survival advantage to juveniles or small short-lived species. Conversely, larger fish were associated with increasing lake depth, water clarity, connectivity, and extent of surrounding forests-wetlands. Enhanced stability and size structure were observed in communities residing in deeper and clearer lakes, suggesting that these conditions facilitated the development of longer-lived species spanning multiple age groups. The enhanced connectivity that facilitated this increased stability also permitted the presence of larger itinerant species.</li><li>Size-structure assessments can serve as a valuable ecological and biodiversity indicator in floodplain lakes.</li><li>Size-structure assessments could supplement and, depending on objectives, even supplant conventional taxonomic analyses, and enhance surveillance of this vast and important natural resource.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.14313","usgsCitation":"Miranda, L.E., and Dembkowski, D., 2024, Fish size structures in lakes of the Lower Mississippi River floodplain: Freshwater Biology, v. 69, no. 10, p. 1390-1398, https://doi.org/10.1111/fwb.14313.","productDescription":"9 p.","startPage":"1390","endPage":"1398","ipdsId":"IP-161581","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":482441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.42422555551806,\n              37.11747567598016\n            ],\n            [\n              -90.97390221584965,\n              37.04144127940464\n            ],\n            [\n              -92.58621074174947,\n              33.10588945297861\n            ],\n            [\n              -92.45243908525825,\n              29.099651301594108\n            ],\n            [\n              -89.06436076922489,\n              29.11098036129748\n            ],\n            [\n              -89.09009988261171,\n              32.8776191962395\n            ],\n            [\n              -88.42422555551806,\n              37.11747567598016\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"69","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":928353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dembkowski, D.J.","contributorId":351300,"corporation":false,"usgs":false,"family":"Dembkowski","given":"D.J.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":928354,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257572,"text":"70257572 - 2024 - Large-scale dam removal and ecosystem restoration","interactions":[],"lastModifiedDate":"2024-09-10T13:17:13.749365","indexId":"70257572","displayToPublicDate":"2024-08-13T08:13:44","publicationYear":"2024","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":"Large-scale dam removal and ecosystem restoration","docAbstract":"<p><span>Rivers underpin vital ecosystems that support aquatic and terrestrial biodiversity and many ecosystem services, including food, water, culture, and recreation (</span>Dudgeon et al. 2006<span>). After centuries of building dams on rivers across the world, river restoration via dam removal is receiving increased public attention, financial investment, and scientific study because of various issues of regarding dam infrastructure, such as obsolescence, sedimentation, and ecosystem degradation (</span>Duda and Bellmore, 2022<span>;&nbsp;</span>East and Grant, 2023<span>). Most dam removal projects to date have focused on smaller structures, but larger structures &gt; 10 m tall have also started to be removed in increasing numbers. Recent estimates suggest that only a small fraction of all dam removals have been scientifically studied, with most focused on small dams and short time scales (</span>Bellmore et&nbsp;al., 2016<span>). Understanding the outcomes of large dam removal, where case studies are much more limited, depends on sustained research and monitoring efforts aimed at understanding restoration processes over large spatial and temporal scales (</span>Figure&nbsp;1<span>). The ecological and socio-ecological study of large dam removal represents a new frontier in dam removal research: projects are larger, more recent, and provide an opportunity to understand the complex ecological changes and impacts to humans that occur with these transformative restoration projects.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2024.1471146","usgsCitation":"McCaffery, R.M., Duda, J.J., Soissons, L., and Roussel, J., 2024, Large-scale dam removal and ecosystem restoration: Frontiers in Ecology and Evolution, v. 12, 1471146, 6 p., https://doi.org/10.3389/fevo.2024.1471146.","productDescription":"1471146, 6 p.","ipdsId":"IP-167494","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":439215,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2024.1471146","text":"Publisher Index Page"},{"id":433658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2024-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"McCaffery, Rebecca M. 0000-0002-0396-0387","orcid":"https://orcid.org/0000-0002-0396-0387","contributorId":211539,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":910888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":910889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soissons, Laura","contributorId":343380,"corporation":false,"usgs":false,"family":"Soissons","given":"Laura","email":"","affiliations":[{"id":81705,"text":"INRAe","active":true,"usgs":false}],"preferred":false,"id":910890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roussel, Jean-Marc","contributorId":343381,"corporation":false,"usgs":false,"family":"Roussel","given":"Jean-Marc","email":"","affiliations":[{"id":81705,"text":"INRAe","active":true,"usgs":false}],"preferred":false,"id":910891,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257296,"text":"70257296 - 2024 - Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA","interactions":[],"lastModifiedDate":"2024-10-30T21:41:50.825406","indexId":"70257296","displayToPublicDate":"2024-08-13T06:49:56","publicationYear":"2024","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":"Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA","docAbstract":"<p>Severe fire on steep slopes increases stormwater runoff and the occurrence of runoff-initiated debris flows. Predicting locations of debris flows and their downstream effects on trunk streams requires watershed-scale high-resolution topographic data. Intense precipitation in July and September 2013 following the June 2011 Las Conchas Fire in the Jemez Mountains, New Mexico, led to widespread debris flows in the watershed of Rito de los Frijoles. We differenced lidar Digital Elevation Models (DEMs) collected in 2010 and 2016 to map subwatersheds experiencing debris flows and changes in elevation of the trunk stream. Debris flow occurrence was well predicted by previous assessments of debris-flow hazard; debris flows occurred in 7 of 9 sub-basins where the debris-flow hazard was above 60% for the 25-year rainfall event, and in 0 of 21 basins where debris flow hazard was less than 60%. Debris flows resulted in fan deposition at the confluence with the trunk stream followed by transport during three documented floods. The bed of the 22 km trunk stream increased in elevation by a mean of 0.29 m, but the local change in thalweg elevation was controlled by inputs of water and sediment and longitudinal variation in gradient. Downstream of the mouths of tributaries with debris flows, the thalweg of the trunk stream rose as much as 2&nbsp;m. Downstream of the mouths of tributaries without debris flows the thalweg of the main stem degraded by as much as 2&nbsp;m, mobilizing sediment that was then deposited further downstream where the gradient of the trunk stream decreases. In conclusion, the transport of sediment generated by debris flows was predictably related to spatial variation in sediment supply, discharge and gradient.</p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5964","usgsCitation":"Friedman, J.M., Tillery, A.C., Alfieri, S.J., Skaggs, E.R., Shafroth, P., and Allen, C., 2024, Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA: Earth Surface Processes and Landforms, v. 49, no. 13, p. 4263-4274, https://doi.org/10.1002/esp.5964.","productDescription":"12 p.; Data Release","startPage":"4263","endPage":"4274","ipdsId":"IP-156621","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":499236,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.5964","text":"Publisher Index Page"},{"id":434915,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1RFRU9T","text":"USGS data release","linkHelpText":"Elevation change in the watershed of Rito de los Frijoles, Bandelier National Monument, New Mexico from 2010 to 2016"},{"id":432752,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.61483704481206,\n              36.569202251890104\n            ],\n            [\n              -107.61483704481206,\n              35.28806357199453\n            ],\n            [\n              -105.60419519739077,\n              35.28806357199453\n            ],\n            [\n              -105.60419519739077,\n              36.569202251890104\n            ],\n            [\n              -107.61483704481206,\n              36.569202251890104\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","issue":"13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alfieri, Samuel J.","contributorId":329742,"corporation":false,"usgs":false,"family":"Alfieri","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":78705,"text":"self","active":true,"usgs":false}],"preferred":false,"id":909905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skaggs, Elizabeth Rachaelann 0000-0001-9672-641X","orcid":"https://orcid.org/0000-0001-9672-641X","contributorId":342031,"corporation":false,"usgs":true,"family":"Skaggs","given":"Elizabeth","email":"","middleInitial":"Rachaelann","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allen, Craig D.","contributorId":289211,"corporation":false,"usgs":false,"family":"Allen","given":"Craig D.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":909908,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70270090,"text":"70270090 - 2024 - Developing, testing, and communicating earthquake forecasts: Current practices and future directions","interactions":[],"lastModifiedDate":"2025-08-08T15:07:40.812629","indexId":"70270090","displayToPublicDate":"2024-08-13T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Developing, testing, and communicating earthquake forecasts: Current practices and future directions","docAbstract":"<p><span>While deterministically predicting the time and location of earthquakes remains impossible, earthquake forecasting models can provide estimates of the probabilities of earthquakes occurring within some region over time. To enable informed decision-making of civil protection, governmental agencies, or the public, Operational Earthquake Forecasting (OEF) systems aim to provide authoritative earthquake forecasts based on current earthquake activity in near-real time. Establishing OEF systems involves several nontrivial choices. This review captures the current state of OEF worldwide and analyzes expert recommendations on the development, testing, and communication of earthquake forecasts. An introductory summary of OEF-related research is followed by a description of OEF systems in Italy, New Zealand, and the United States. Combined, these two parts provide an informative and transparent snapshot of today's OEF landscape. In Section 4, we analyze the results of an expert elicitation that was conducted to seek guidance for the establishment of OEF systems. The elicitation identifies consensus and dissent on OEF issues among a non-representative group of 20 international earthquake forecasting experts. While the experts agree that communication products should be developed in collaboration with the forecast user groups, they disagree on whether forecasting models and testing methods should be user-dependent. No recommendations of strict model requirements could be elicited, but benchmark comparisons, prospective testing, reproducibility, and transparency are encouraged. Section 5 gives an outlook on the future of OEF. Besides covering recent research on earthquake forecasting model development and testing, upcoming OEF initiatives are described in the context of the expert elicitation findings.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023RG000823","usgsCitation":"Mizrahi, L., Dallo, I., van der Elst, N., Christophersen, A., Spassiani, I., Werner, M.J., Iturrieta, P., Bayona, J., Iervolino, I., Schneider, M., Page, M.T., Zhuang, J., Herrmann, M., Michael, A.J., Falcone, G., Marzocchi, W., Rhoades, D.A., Gerstenberger, M., Gulia, L., Schorlemmer, D., Becker, J., Han, M., Kuratle, L., Marti, M., and Wiemer, S., 2024, Developing, testing, and communicating earthquake forecasts: Current practices and future directions: Reviews of Geophysics, v. 63, no. 3, e2023RG000823, 70 p., https://doi.org/10.1029/2023RG000823.","productDescription":"e2023RG000823, 70 p.","ipdsId":"IP-164941","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":494183,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023rg000823","text":"Publisher Index Page"},{"id":493845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Mizrahi, Leila","contributorId":359434,"corporation":false,"usgs":false,"family":"Mizrahi","given":"Leila","affiliations":[{"id":85809,"text":"Swiss Seismological Service at ETH Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":945401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dallo, Irina","contributorId":351572,"corporation":false,"usgs":false,"family":"Dallo","given":"Irina","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":945402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":945403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christophersen, Annemarie","contributorId":175090,"corporation":false,"usgs":false,"family":"Christophersen","given":"Annemarie","email":"","affiliations":[],"preferred":false,"id":945404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spassiani, Ilaria","contributorId":359435,"corporation":false,"usgs":false,"family":"Spassiani","given":"Ilaria","affiliations":[{"id":85810,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV),","active":true,"usgs":false}],"preferred":false,"id":945405,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Werner, Maximillian J.","contributorId":359436,"corporation":false,"usgs":false,"family":"Werner","given":"Maximillian","middleInitial":"J.","affiliations":[{"id":38325,"text":"University of Bristol, UK","active":true,"usgs":false}],"preferred":false,"id":945406,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Iturrieta, Pablo","contributorId":359437,"corporation":false,"usgs":false,"family":"Iturrieta","given":"Pablo","affiliations":[{"id":85811,"text":"GFZ German Research Centre for Geosciences,","active":true,"usgs":false}],"preferred":false,"id":945407,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bayona, Jose","contributorId":359438,"corporation":false,"usgs":false,"family":"Bayona","given":"Jose","affiliations":[{"id":38325,"text":"University of Bristol, UK","active":true,"usgs":false}],"preferred":false,"id":945408,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Iervolino, Iunio","contributorId":359439,"corporation":false,"usgs":false,"family":"Iervolino","given":"Iunio","affiliations":[{"id":85812,"text":"The University of Naples Federico II","active":true,"usgs":false}],"preferred":false,"id":945409,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schneider, Max 0000-0003-2945-7904","orcid":"https://orcid.org/0000-0003-2945-7904","contributorId":340346,"corporation":false,"usgs":true,"family":"Schneider","given":"Max","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":945410,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":945411,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zhuang, Jiancang","contributorId":359440,"corporation":false,"usgs":false,"family":"Zhuang","given":"Jiancang","affiliations":[{"id":85813,"text":"The Institute of Statistical Mathematics, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":945412,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Herrmann, Marcus","contributorId":359441,"corporation":false,"usgs":false,"family":"Herrmann","given":"Marcus","affiliations":[{"id":85812,"text":"The University of Naples Federico II","active":true,"usgs":false}],"preferred":false,"id":945413,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":945414,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Falcone, Guiseppe","contributorId":172716,"corporation":false,"usgs":false,"family":"Falcone","given":"Guiseppe","email":"","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":945415,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Marzocchi, 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,{"id":70260465,"text":"70260465 - 2024 - Effects of temporal hydrologic shifts on the population biology of an endangered freshwater fish in a dryland river ecosystem","interactions":[],"lastModifiedDate":"2024-11-04T17:47:39.059629","indexId":"70260465","displayToPublicDate":"2024-08-12T11:41:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Effects of temporal hydrologic shifts on the population biology of an endangered freshwater fish in a dryland river ecosystem","docAbstract":"<p><span>Species occupying dryland river ecosystems often experience “boom-and-bust” demographic cycles that coincide with shifts in habitat availability. Knowing whether declines are within natural thresholds versus those caused by acute human disturbance is critical for managing protected species. We investigated temporal shifts in abundance and habitat use of an endangered population of the threespine stickleback&nbsp;</span><i>Gasterosteus aculeatus</i><span>&nbsp;in southern California, where a Mediterranean climate leads to ephemeral habitat in one of the regions' least hydrologically modified rivers, the Santa Clara River. We conducted population surveys over a period of below-average rainfall in the upper watershed in Soledad Canyon, with predefined reaches surveyed multiple times per year to capture different hydrologic conditions. Abundances were stable across years but varied significantly depending on location, with some reaches remaining dry and others drying seasonally to varying degrees. Occupancy models showed that the presence of stable perennial reaches, drying regime, and other site-specific factors were important predictors of habitat use, and that certain reaches may be key to ensuring source-sink dynamics as flow dissipates over the dry season. Low occupancy in two sections was driven by different predominant mechanisms, one by diel cycles of evapotranspiration and the other by cattails (</span><i>Typha</i><span>&nbsp;spp.), with both having greater effects during the hotter, drier parts of the year. As dryland river ecosystems are vulnerable to the effects of anthropogenic-induced climate change, this study demonstrates how temporal monitoring can delimit dry-state benchmarks for improving management interventions (i.e., translocation and habitat restoration) for protected species under conditions that are predicted to worsen in the coming years.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/aqc.4211","usgsCitation":"Richmond, J.Q., Gould, P.R., Pareti, J., Aitken, A., Morrissette, E., Backlin, A.R., Dellith, C., and Fisher, R., 2024, Effects of temporal hydrologic shifts on the population biology of an endangered freshwater fish in a dryland river ecosystem: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 34, no. 8, e4211, 13 p., https://doi.org/10.1002/aqc.4211.","productDescription":"e4211, 13 p.","ipdsId":"IP-166124","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":463600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Soledad Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.40734591539739,\n              34.491979597799684\n            ],\n            [\n              -118.40734591539739,\n              34.36899750284367\n            ],\n            [\n              -118.07881365289235,\n              34.36899750284367\n            ],\n            [\n              -118.07881365289235,\n              34.491979597799684\n            ],\n            [\n              -118.40734591539739,\n              34.491979597799684\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gould, Philip Robert 0000-0002-8871-0968","orcid":"https://orcid.org/0000-0002-8871-0968","contributorId":294694,"corporation":false,"usgs":true,"family":"Gould","given":"Philip","email":"","middleInitial":"Robert","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pareti, Jennifer","contributorId":345858,"corporation":false,"usgs":false,"family":"Pareti","given":"Jennifer","email":"","affiliations":[{"id":54562,"text":"cdfw","active":true,"usgs":false}],"preferred":false,"id":917754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aitken, Andrew","contributorId":345859,"corporation":false,"usgs":false,"family":"Aitken","given":"Andrew","email":"","affiliations":[{"id":54562,"text":"cdfw","active":true,"usgs":false}],"preferred":false,"id":917755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrissette, Eric","contributorId":237012,"corporation":false,"usgs":false,"family":"Morrissette","given":"Eric","email":"","affiliations":[],"preferred":false,"id":917756,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dellith, Chris","contributorId":139396,"corporation":false,"usgs":false,"family":"Dellith","given":"Chris","email":"","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":917758,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917759,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70260464,"text":"70260464 - 2024 - Variation in dietary ecology of two invasive American Bullfrog (Lithobates catesbeianus) populations in Southern California","interactions":[],"lastModifiedDate":"2024-11-05T15:15:40.693376","indexId":"70260464","displayToPublicDate":"2024-08-12T11:24:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Variation in dietary ecology of two invasive American Bullfrog (<i>Lithobates catesbeianus</i>) populations in Southern California","title":"Variation in dietary ecology of two invasive American Bullfrog (Lithobates catesbeianus) populations in Southern California","docAbstract":"<p><span>Invasive American Bullfrogs (Lithobates catesbeianus) are a threat to native species in riparian ecosystems worldwide. They are indiscriminate predators consuming both vertebrate and invertebrate prey, negatively affecting biodiversity. Documenting the diet and feeding ecology of invasive L. catesbeianus can help management agencies identify affected species and facilitate eradication efforts. We present a dietary analysis of two invasive L. catesbeianus populations over multiple breeding seasons (2016–2020), elucidating ontogenetic changes in diet and dietary differences between sexes and habitats. This is the first study to analyze dietary variation from contemporary populations of invasive L. catesbeianus occupying different watersheds in Southern California, an area where their invasion presents acute conservation challenges. Our analysis of 667 gut contents shows that adult females had more prey in their guts than adult males, even though male and female body size was not significantly different. Adults were more likely than juveniles to consume vertebrate prey, and juveniles were more likely than adults to have empty stomachs. We also found that invasive Red Swamp Crayfish (Procambarus clarkii), made up a substantial portion of the diet of adult L. catesbeianus at the site where they were present. These results provide an important ecological context for designing mitigation actions that ameliorate the impacts of invasive L. catesbeianus.</span></p>","language":"English","publisher":"The Herpetologists' League","doi":"10.1655/Herpetologica-D-23-00057","usgsCitation":"Smith, N.W., Hanscom, R.J., Richmond, J.Q., Fisher, R., and Clark, R.W., 2024, Variation in dietary ecology of two invasive American Bullfrog (Lithobates catesbeianus) populations in Southern California: Herpetologica, v. 80, no. 3, p. 241-247, https://doi.org/10.1655/Herpetologica-D-23-00057.","productDescription":"7 p.","startPage":"241","endPage":"247","ipdsId":"IP-166137","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498874,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1655/herpetologica-d-23-00057","text":"Publisher Index 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,{"id":70256978,"text":"tm6A64 - 2024 - Revision of ModelMuse to support the use of PEST software with MODFLOW and SUTRA models","interactions":[],"lastModifiedDate":"2024-08-12T15:36:25.638887","indexId":"tm6A64","displayToPublicDate":"2024-08-12T11:18:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A64","displayTitle":"Revision of ModelMuse to Support the Use of PEST Software With MODFLOW and SUTRA Models","title":"Revision of ModelMuse to support the use of PEST software with MODFLOW and SUTRA models","docAbstract":"<h1>Executive Summary</h1><p>ModelMuse is a graphical user interface for several groundwater modeling programs. ModelMuse was updated to generate the input files for the parameter estimation software suite PEST. The software is used with MODFLOW or SUTRA models to run PEST-based parameter estimation and display the updated model inputs after parameter estimation. The PEST input files can also be used with the PEST++ version 5 software suite.</p><p>Parameter estimation typically requires defining the parameters being adjusted during calibration and observations for assessing calibration quality. After a parameter is defined in ModelMuse, it can be applied to all or part of a model dataset. Pilot points—a parameterization device that facilitates higher levels of parameterization—can be used to assign spatially variable distributions of model inputs. Parameters can be applied to temporally varying features, such as boundary conditions, by either applying them to all the values in a series in one step or by applying separate parameters to individual members of a series. ModelMuse allows the definition of many observation types from various model output files. For MODFLOW 6 and SUTRA models, new options were added to ModelMuse to allow it to display the changed input after parameter estimation is complete. For MODFLOW–2005 and MODFLOW–NWT models, ModelMuse can import an entire model for visualization. An example illustrates the use of PEST with a MODFLOW 6 model in ModelMuse.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A64","programNote":"Water Availability and Use Science Program","usgsCitation":"Winston, R.B., 2024, Revision of ModelMuse to support the use of PEST software with MODFLOW and SUTRA models: U.S. Geological Survey Techniques and Methods book 6, chap. A64, 56 p., https://doi.org/10.3133/tm6A64.","productDescription":"Report viii, 56 p.; Software Release","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-134686","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":497969,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P132ZP7T","text":"USGS data release","linkHelpText":"ModelMuse version 5.4"},{"id":432191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/06/a64/coverthb.jpg"},{"id":432193,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm6A64/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"TM 6-A64 HTML"},{"id":432194,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/06/a64/tm6a64.XML","linkFileType":{"id":8,"text":"xml"},"description":"TM 6-A64 XML"},{"id":432192,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/06/a64/tm6a64.pdf","text":"Report","size":"9.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 6-A64 PDF"},{"id":432195,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/06/a64/images/"},{"id":432196,"rank":6,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P1AZMVXV","text":"USGS software release","linkHelpText":"- ModelMuse: A Graphical User Interface for Groundwater Models (version 5.3.0.0)"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/mission-areas/water-resources/integrated-modeling-and-prediction-division\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources/integrated-modeling-and-prediction-division\">Integrated Modeling and Prediction Division</a><br>Water Resources Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston VA, 20192</p><p>Email: <a href=\"mailto:modflow@usgs.gov\" data-mce-href=\"mailto:modflow@usgs.gov\">modflow@usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Installing PEST</li><li>Using Parameters With Datasets</li><li>Using PEST Parameters With Model Features</li><li>PEST Calibration Observations</li><li>PEST Control Variables</li><li>Running PEST</li><li>Using SVD-Assist</li><li>Visualizing Residuals</li><li>Visualizing Modified Model Input</li><li>Limitations</li><li>Example</li><li>Summary</li><li>References Cited</li><li>Appendix 1. \"EnhancedTemplateProcessor\"</li><li>Appendix 2. \"Mf6ObsExtractor\"</li><li>Appendix 3. \"Mf2005ObsExtractor\"</li><li>Appendix 4. \"SutraObsExtractor\"</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-08-12","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":909055,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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