High-frequency recordings of valve opening behavior (VOB) in bivalves are often used to detect changes in environmental conditions. However, generally a single variable such as temperature or the presence of toxicants in the water is the focus. A description of routine VOB under non-stressful conditions is also important for interpreting responses to environmental changes. Here we present the first detailed quantitative investigation of the in-situ VOB of eastern oysters (Crassostrea virginica) to environmental variables typically not considered stressful. The VOB of eight individuals was monitored for seven weeks in a Louisiana estuary. We examined the relationships between VOB metrics (variance in mean % max opening among oysters, the probability of an oyster being closed, and the rate of valve closure), and temperature, salinity, chlorophyll-a (chl-a) concentration, the rate of change in those environmental variables, and the rate of change in water depth. Relationships were analyzed through statistical models including rates of change over 0, 0.25, 1-, 6-, 12-, and 24-hours. All the responses were best explained by the 12-hour time step model. The interaction effect between salinity and the rate of change of salinity had the greatest impact on variance in oysters’ behavior. Oysters closed faster at higher salinities and were more likely to be closed at lower chl-a concentrations. Significant interactions were found between many environmental variables, indicating a high level of complexity of oyster behavior in the natural environment. This study contributes to a better understanding of the impact of environmental conditions on oyster behavior and can help inform predictive tools for restoration initiatives and fisheries practices.
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Maps depicting various eelgrass metrics, such as percent cover and modeled biomass, were generated using summaries of the ground data that spatially intersected each spectral class. Comparisons between the 2016 and 2020 Sentinel-2 maps of eelgrass distributional extent, as well as a 2006 Landsat map, indicated that areas where eelgrass presence may have declined between 2006 and 2020 were most prevalent in the central part Izembek Lagoon, while areas of possible biomass decline were more prevalent in the southern part between 2016 and 2020. Monitoring eelgrass conditions at Izembek Lagoon with satellite imagery and concurrent ground data provides capabilities for making comparisons over time, but the influences of tide levels, growing season phenology, and spatiotemporal co-registration accuracy should be considered when designing and interpreting change detection analyses.
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Our results make clear that the Amazon Basin provides stopover habitat for a large number of shorebirds: more than 74% of individuals tracked crossing the Amazon Basin stopped over in the region for an average of 2–14 days, with some spending the entire nonbreeding season there. All species selected stopover sites along the region’s many rivers and lakes, while within stopover sites each species exhibited distinct habitat preferences. The timing of stopovers within sub-basins of the Amazon Basin also coincided with periods of low water, when the muddy, shallow water habitats preferred by most shorebirds are likely plentiful. Together, our results highlight the need for detailed investigations into shorebird abundance and distribution within the Amazon Basin, threats to shorebirds within particular subbasins, and links between shorebird conservation efforts and those targeting the myriad other species that inhabit this dynamic, hyper-diverse region.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duae034","usgsCitation":"Linscott, J.A., Basso, E., Bathrick, R., Bosi de Almeida, J., Anderson, A., Angulo-Pratolongo, F., Ballard, B.M., Bety, J., Brown, S., Christie, K.S., Clements, S.J., Friis, C., Gesmundo, C., Giroux, M., Harrison, A., Harwood, C.M., Hill, J.M., Johnson, J.A., Kempenaers, B., Laliberte, B., Lamarre, J., Lanctot, R., Latty, C., Lecomte, N., McDuffie, L.A., Navedo, J.G., Nol, E., Pohlen, Z.M., Rausch, J., Renfrew, R., Ruiz, J., Russell, M., Ruthrauff, D.R., Saalfeld, S.T., Sandercock, B., Schulte, S., Smith, P.A., Taylor, A.R., Tibbitts, T., Valcu, M., Weegman, M., Wright, J.R., and Senner, N.R., 2024, The Amazon Basin’s rivers and lakes support Nearctic-breeding shorebirds during southward migration: Ornithological Applications, v. 126, no. 4, duae034, 18 p., https://doi.org/10.1093/ornithapp/duae034.","productDescription":"duae034, 18 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Canada","active":true,"usgs":false}],"preferred":false,"id":912733,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Renfrew, R.B.","contributorId":104671,"corporation":false,"usgs":true,"family":"Renfrew","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":912734,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Ruiz, Jorge","contributorId":344058,"corporation":false,"usgs":false,"family":"Ruiz","given":"Jorge","email":"","affiliations":[],"preferred":false,"id":912735,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Russell, Mike","contributorId":344059,"corporation":false,"usgs":false,"family":"Russell","given":"Mike","email":"","affiliations":[],"preferred":false,"id":912736,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":912651,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Saalfeld, Sarah T.","contributorId":208223,"corporation":false,"usgs":false,"family":"Saalfeld","given":"Sarah","email":"","middleInitial":"T.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":912737,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Sandercock, Brett K.","contributorId":223926,"corporation":false,"usgs":false,"family":"Sandercock","given":"Brett K.","affiliations":[],"preferred":false,"id":912738,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Schulte, Shiloh A.","contributorId":39911,"corporation":false,"usgs":true,"family":"Schulte","given":"Shiloh A.","affiliations":[],"preferred":false,"id":912739,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Smith, Paul A 0000-0001-9573-5218","orcid":"https://orcid.org/0000-0001-9573-5218","contributorId":216272,"corporation":false,"usgs":false,"family":"Smith","given":"Paul","email":"","middleInitial":"A","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":912740,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Taylor, Audrey R.","contributorId":10396,"corporation":false,"usgs":false,"family":"Taylor","given":"Audrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":912741,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":224104,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T. Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":912652,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Valcu, Mihai 0000-0002-6907-7802","orcid":"https://orcid.org/0000-0002-6907-7802","contributorId":216254,"corporation":false,"usgs":false,"family":"Valcu","given":"Mihai","email":"","affiliations":[{"id":12472,"text":"Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":912742,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Weegman, Mitch D.","contributorId":207459,"corporation":false,"usgs":false,"family":"Weegman","given":"Mitch D.","affiliations":[],"preferred":false,"id":912743,"contributorType":{"id":1,"text":"Authors"},"rank":41},{"text":"Wright, James R.","contributorId":299052,"corporation":false,"usgs":false,"family":"Wright","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":912744,"contributorType":{"id":1,"text":"Authors"},"rank":42},{"text":"Senner, Nathan R.","contributorId":140465,"corporation":false,"usgs":false,"family":"Senner","given":"Nathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":912654,"contributorType":{"id":1,"text":"Authors"},"rank":43}]}} ,{"id":70259095,"text":"70259095 - 2024 - Comparison of imaging flow cytometry and microscopy for freshwater algal bloom detection","interactions":[],"lastModifiedDate":"2024-09-27T11:59:37.62189","indexId":"70259095","displayToPublicDate":"2024-08-09T06:54:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of imaging flow cytometry and microscopy for freshwater algal bloom detection","docAbstract":"Imaging flow cytometry (IFC) is an emerging tool that allows for rapid identification and enumeration of phytoplankton in freshwater systems. However, few studies have assessed the effects of preservation on IFC results or compared live IFC and microscopy results in freshwater systems. Understanding the effects of preservation and differences between IFC and microscopy will improve interpretation of these data and inform strategies to use IFC-based approaches in freshwater systems. Our study objectives were to compare IFC and phase contrast with epifluorescence microscopy as techniques for phytoplankton identification and enumeration, and the effects of sample preservation with an emphasis on taxa forming harmful cyanobacterial blooms (HCBs). During June through October 2020, samples were collected from 2 lakes in the Finger Lakes region of New York. Live and preserved samples were analyzed by laboratory-based IFC, and preserved samples were analyzed by microscopy. The IFC approach captured community dynamics while detecting potential cyanobacterial bloom-forming taxa earlier and at lower abundances than microscopy. Laboratory-based IFC allowed for an intermediate level of taxonomic information when compared to microscopy, gross techniques, such as extracted chlorophyll a or fluorescence sensors, and field-based operation of IFC approaches. The laboratory-based application of IFC in this study allowed receipt of results in 5 d or less, a substantial improvement over microscopy, which can be time-consuming to conduct. However, the laboratory-based IFC approach had some limitations. Imaging flow cytometry-estimated biovolume may be less accurate than microscopy for some taxa because of the algorithms used to calculate biovolume, particularly for chrysophytes and coccoid cyanobacteria. Colonial dissociation during preservation appeared to affect detection of Microcystis by IFC less than for other fragile bloom-forming taxa like chrysophytes. Our study results advance understanding of how IFC may translate to field-based approaches for early harmful algal bloom indicators in freshwater.
O le Atu-Samoa o le tasi lenei o faʻasologa motu mauga mu i le Vasa Pasefika i Saute. O motu e pito i sasaʻe o nei faʻasologa mauga mu o le Atu-Samoa, o motu ia o Amerika Samoa. E tofu lava mauga mu taʻitasi o Amerika Samoa ma ona talaaga aemaise tulaga e tutupu e ono pa ai i le lumanai. O loʻo galulue faʻatasi le Ofisa o le U.S. Geological Survey (USGS) ma le National Oceanic and Atmospheric Administration Ofisa Vaʻai Tau i Pago Pago e faailoa i tagatanuʻu ma tagata asiasi o tulaga lamatia e ono tutupu. O loʻo faʻapupula atili atu iʻi auala na gaosia ai motu nei faʻapea auala o loʻo fesoasoani ai le vaega e mataʻituina mauga mū e puipui tagata ma mea-totino mai tulaga lamatia o mauga mū.
American Samoa comprises the easternmost islands of a volcanic island chain in the South Pacific Ocean. Each island of American Samoa has a unique eruptive history and a possibility for future eruptions. The U.S. Geological Survey (USGS) collaborates with the Pago Pago office of the National Oceanic and Atmospheric Administration National Weather Service to inform residents and travelers of potential hazards. Insights are provided herein on how the islands formed and how volcano monitoring helps protect people and property from volcanic hazards.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233022","collaboration":"Prepared in collaboration with the National Oceanic and Atmospheric Administration and the National Weather Service","usgsCitation":"Deligne, N.I., Downs, D.T., Lutu-McMoore, E., Sobieszczyk, S., and Stovall, W., 2024, Volcanoes of American Samoa: U.S. Geological Survey Fact Sheet 2023–3022, 6 p., https://doi.org/10.3133/fs20233022.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-149293","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499110,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117165.htm","linkFileType":{"id":5,"text":"html"}},{"id":432365,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3022/fs20233022.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":432364,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3022/covrthb.jpg"}],"otherGeospatial":"American Samoa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -171.0463763705247,\n -14.086896858027984\n ],\n [\n -171.0463763705247,\n -14.491460518612314\n ],\n [\n -170.44762148771224,\n -14.491460518612314\n ],\n [\n -170.44762148771224,\n -14.086896858027984\n ],\n [\n -171.0463763705247,\n -14.086896858027984\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Volcano Science Center
U.S. Geological Survey
4210 University Drive
Anchorage, AK 99508
Globally, winter temperatures are rising, and snowpack is shrinking or disappearing entirely. Despite previous research and published literature reviews, it remains unknown whether biomes across the globe will cross important thresholds in winter temperature and precipitation that will lead to significant ecological changes. Here, we combine the widely used Köppen–Geiger climate classification system with worst-case-scenario projected changes in global monthly temperature and precipitation to illustrate how multiple climatic zones across Earth may experience shifting winter conditions by the end of this century. We then examine how these shifts may affect ecosystems within corresponding biomes. Our analysis demonstrates potential widespread losses of extreme cold (<−20°C) in Arctic, boreal, and cool temperate regions. We also show the possible disappearance of freezing temperatures (<0°C) and large decreases in snowfall in warm temperate and dryland areas. We identify important and potentially irreversible ecological changes associated with crossing these winter climate thresholds.
","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-ecolsys-110421-102101","usgsCitation":"Contosta, A., Arndt, K.A., Baulch, H.M., Casson, N.J., Harpold, A., Morelli, T.L., Siren, A., and Templer, P.H., 2024, Threshold changes in winter temperature and precipitation drive threshold responses across nine global climate zones and associated biomes: Annual Review of Ecology, Evolution, and Systematics, v. 55, p. 271-300, https://doi.org/10.1146/annurev-ecolsys-110421-102101.","productDescription":"30 p.","startPage":"271","endPage":"300","ipdsId":"IP-163898","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":490132,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-ecolsys-110421-102101","text":"Publisher Index Page"},{"id":486088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Contosta, Alexandra R.","contributorId":355411,"corporation":false,"usgs":false,"family":"Contosta","given":"Alexandra R.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":937252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arndt, Kyle A.","contributorId":243098,"corporation":false,"usgs":false,"family":"Arndt","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":937253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baulch, Helen M.","contributorId":194573,"corporation":false,"usgs":false,"family":"Baulch","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":937254,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casson, Nora J.","contributorId":169271,"corporation":false,"usgs":false,"family":"Casson","given":"Nora","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":937255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harpold, Adrian","contributorId":269949,"corporation":false,"usgs":false,"family":"Harpold","given":"Adrian","affiliations":[{"id":56052,"text":"University of Nevada, Reno, Department of Natural Resources and Environmental Science","active":true,"usgs":false}],"preferred":false,"id":937256,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":937257,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Siren, Alexej P.K.","contributorId":355399,"corporation":false,"usgs":false,"family":"Siren","given":"Alexej P.K.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":937258,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Templer, Pamela H.","contributorId":167457,"corporation":false,"usgs":false,"family":"Templer","given":"Pamela","email":"","middleInitial":"H.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":937259,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70264349,"text":"70264349 - 2024 - Shallow faulting and folding beneath south‐central Seattle, Washington State, from land‐based high‐resolution seismic‐reflection imaging","interactions":[],"lastModifiedDate":"2025-03-12T13:55:43.660255","indexId":"70264349","displayToPublicDate":"2024-08-08T08:50:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Shallow faulting and folding beneath south‐central Seattle, Washington State, from land‐based high‐resolution seismic‐reflection imaging","docAbstract":"The geologic framework of the Seattle fault zone (SFZ) has been extensively studied, but the structure and fault strand locations in the central portion of the fault zone through the city of Seattle have remained controversial. Much of what is known about the SFZ has come from light detection and ranging (lidar)‐topographic surveys and paleoseismic investigations of fault scarps primarily west of Puget Sound, regional gravity and aeromagnetic modeling, and multiscale marine seismic imaging in waters both west and east of Seattle. We analyze ∼24 km of land‐based P‐wave seismic‐reflection data that fill in a critical gap in our understanding of the SFZ beneath the urban areas of West Seattle, south‐central Seattle, and Mercer Island. These data image deformed strata in the upper 1 km, including upwarped Tertiary rock and younger sediments. Collectively, these data provide evidence for multiple Quaternary‐active thrust faults, back thrusts, and sub‐basins within the SFZ beneath the city of Seattle. The results indicate that multiple and potentially active back thrusts in the upper ∼500 m extend across the length of the SFZ and the entire urban corridor that may be analogous to those on Bainbridge Island west of Puget Sound.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320230050","usgsCitation":"Stephenson, W.J., Odum, J.K., and Pratt, T.L., 2024, Shallow faulting and folding beneath south‐central Seattle, Washington State, from land‐based high‐resolution seismic‐reflection imaging: The Seismic Record, v. 4, no. 3, p. 184-193, https://doi.org/10.1785/0320230050.","productDescription":"10 p.","startPage":"184","endPage":"193","ipdsId":"IP-159620","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":487948,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320230050","text":"Publisher Index Page"},{"id":483230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Seattle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.72997503110628,\n 47.62004863663242\n ],\n [\n -122.72997503110628,\n 47.4020813981619\n ],\n [\n -122.11956470840835,\n 47.4020813981619\n ],\n [\n -122.11956470840835,\n 47.62004863663242\n ],\n [\n -122.72997503110628,\n 47.62004863663242\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":930477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Odum, Jack K. 0000-0002-3162-0355","orcid":"https://orcid.org/0000-0002-3162-0355","contributorId":97900,"corporation":false,"usgs":true,"family":"Odum","given":"Jack","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":930478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":930479,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257062,"text":"70257062 - 2024 - Dopaminergic and anti-estrogenic responses in juvenile steelhead (Oncorhynchus mykiss) exposed to bifenthrin","interactions":[],"lastModifiedDate":"2024-08-09T11:05:58.442724","indexId":"70257062","displayToPublicDate":"2024-08-08T06:00:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18327,"text":"Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology","active":true,"publicationSubtype":{"id":10}},"title":"Dopaminergic and anti-estrogenic responses in juvenile steelhead (Oncorhynchus mykiss) exposed to bifenthrin","docAbstract":"The frequency of detection and concentrations of bifenthrin, a pyrethroid insecticide, in the waterways inhabited by the endangered species, steelhead trout (Oncorhynchus mykiss), has become a significant concern for regulatory agencies. Endocrine disruption has been observed with estrogenic and anti-estrogenic responses in fish species at different life stages. Since several studies have indicated alterations in dopaminergic signaling associated with endocrine responses, juvenile steelhead were exposed to environmentally relevant concentrations of 60 or 120 ng/L bifenthrin for two weeks. Fish brains were assessed for dopamine levels and the expression of genes involved in dopaminergic and estrogenic processes, such as catechol-o-methyltransferase (comt) and monoamine oxidase (mao). Vitellogenin (vtg) and estrogenic receptors (ERα1, ERβ1, and ERβ2) were also evaluated in livers of the animals. Dopamine concentrations were significantly higher in fish brains following bifenthrin exposure. Consistent with a reduction in dopamine clearance, there was a significant decrease in the mRNA expression of comt with increased bifenthrin concentration. Hepatic expression of ERα1 and ERβ2 mRNA was significantly decreased with increased bifenthrin concentration. These data support the possible mechanism of bifenthrin altering the dopaminergic pathway at low ng/L concentrations, in juvenile steelhead, which could interfere with endocrine feedback loops. These findings support the need for and importance of identifying species and life stage differences in pesticide modes of action to reduce uncertainties in risk assessments.
Fish stranding has been studied in select rivers worldwide, often with the purpose of determining how to mitigate adverse effects of dam operations on highly valued salmon and trout populations. However, where a reduction in trout population size is desired by resource managers, as is the case downstream of the Glen Canyon Dam on the Colorado River, flow manipulations termed trout management flows (TMFs) may be used to optimize fish stranding and mortality. To inform the design and implementation of potential future TMFs, we reviewed relevant literature to identify key factors that influence fish stranding. We found that key factors were highly interdependent and site-specific, but general trends suggest that down-ramping (decreasing flow) at rapid rates in daytime during the late spring to summer emergence period would lead to stranding of age-0 rainbow trout in shallow shoreline habitat. A hypsometric analysis was then used to predict stranding risk for age-0 rainbow trout in Glen Canyon for a range of TMFs, which incorporated existing bathymetric data and flow and habitat suitability models. Our results indicate that a TMF with a steady high flow ranging from 12,000 to 16,000 cubic feet per second (ft3/s) combined with a minimum flow ranging from 3,000 to 5,000 ft3/s may effectively strand age-0 fish while also minimizing risk to water storage in Lake Powell and other resources. This strategy implemented under normal hydropeaking operations was predicted to lead to a substantive stranding risk when paired with low flows of 5,000 ft3/s, and especially 3,000 ft3/s. However, there remains uncertainty associated with elements of implementing an effective TMF downstream from Glen Canyon Dam. The main uncertainties include (1) the down-ramp rate that maximizes stranding of age-0 trout, (2) the duration of drawdown to maximize stranding mortality while minimizing impact to downstream resources, (3) duration of high flows required for age-0 fish to colonize newly created shoreline habitat (this is only for certain TMF hydrographs), (4) number of repetitions of TMF cycles to minimize compensatory survival response, and (5) recruitment threshold of both rainbow and brown trout populations to trigger TMF implementation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241033","collaboration":"Prepared in cooperation with Ecometric Research Inc.","usgsCitation":"Giardina, M., Korman, J., Yard, M.D., Wright, S., Kaplinski, M., and Bennett, G., 2024, A literature review and hypsometric analysis to support decisions on trout management flows on the Colorado River downstream from Glen Canyon Dam: U.S. Geological Survey Open-File Report 2024–1033, 50 p., https://doi.org/10.3133/ofr20241033.","productDescription":"Report: viii, 50 p.; Data Release","numberOfPages":"50","onlineOnly":"Y","ipdsId":"IP-133316","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":432181,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241033/full"},{"id":432178,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L1XEZO","text":"USGS Data Release","description":"Korman, J., Giardina, M.A., Yard, M.D., Wright, S.A., Kaplinski, M., and Bennett, G., 2024, Colorado River milage system and ancillary attribute data for connecting to hydrodynamic model output in Glen Canyon, AZ: U.S. Geological Survey data release, https://doi.org/10.5066/P9L1XEZO.","linkHelpText":"Colorado River milage system and ancillary attribute data for connecting to hydrodynamic model output in Glen Canyon, AZ"},{"id":432177,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1033/ofr20241033.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":432179,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1033/ofr20241033.xml"},{"id":432180,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1033/images"},{"id":432176,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1033/covrthb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Glen Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.636412112225,\n 36.82347668968964\n ],\n [\n -111.44233548505323,\n 36.82347668968964\n ],\n [\n -111.44233548505323,\n 36.96315377672772\n ],\n [\n -111.636412112225,\n 36.96315377672772\n ],\n [\n -111.636412112225,\n 36.82347668968964\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Southwest Biological Science Center
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2255 N. Gemini Drive
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The Arctic is warming four times faster than the rest of the world, threatening the persistence of many Arctic species. It is uncertain if Arctic wildlife will have sufficient time to adapt to such rapidly warming environments. We used genetic forecasting to measure the risk of maladaptation to warming temperatures and sea ice loss in polar bears (Ursus maritimus) sampled across the Canadian Arctic. We found evidence for local adaptation to sea ice conditions and temperature. Forecasting of genome-environment mismatches for predicted climate scenarios suggested that polar bears in the Canadian high Arctic had the greatest risk of becoming maladapted to climate warming. While Canadian high Arctic bears may be the most likely to become maladapted, all polar bears face potentially negative outcomes to climate change. Given the importance of the sea ice habitat to polar bears, we expect that maladaptation to future warming is already widespread across Canada.
","language":"English","publisher":"Wiley","doi":"10.1111/ele.14486","usgsCitation":"Rivkin, L.R., Richardson, E., Miller, J.D., Atwood, T.C., Baryluk, S., Born, E.W., Davis, C., Dyck, M., de Greef, E., Laidre, K.L., Lunn, N., McCarthy-Neumann, S., Obbard, M.E., Owen, M.A., Pilfold, N., Roberto-Charro, A., Wiig, O., Wilder, A., and Garroway, C., 2024, Assessing the risk of climate maladaptation for Canadian polar bears: Ecology Letters, v. 27, no. 8, e14486, 12 p., https://doi.org/10.1111/ele.14486.","productDescription":"e14486, 12 p.","ipdsId":"IP-161512","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":439226,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.14486","text":"Publisher Index Page"},{"id":432443,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Greenland, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -146.10087704851642,\n 70.29891199784112\n ],\n [\n -145.9619431732809,\n 67.68484265716987\n ],\n [\n -80.58830225082843,\n 50.78569841585616\n ],\n [\n -57.738527856271816,\n 49.8939749619428\n ],\n [\n -32.269899477418875,\n 83.56677160868358\n ],\n [\n -95.17610629927108,\n 80.76625534866342\n ],\n [\n -146.10087704851642,\n 70.29891199784112\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Rivkin, L. 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Manitoba","active":true,"usgs":false}],"preferred":false,"id":909419,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70257100,"text":"70257100 - 2024 - Role of tributary cyanobacterial and nutrient transport and sediment processes on cyanobacterial bloom initiation in Lake Superior nearshore","interactions":[],"lastModifiedDate":"2025-01-27T16:25:43.673149","indexId":"70257100","displayToPublicDate":"2024-08-07T08:36:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Role of tributary cyanobacterial and nutrient transport and sediment processes on cyanobacterial bloom initiation in Lake Superior nearshore","docAbstract":"Watershed fluxes of suspended sediment (SS), nutrients, in particular phosphorus (P), and cyanobacteria may play a role in driving cyanobacterial blooms along the southwestern shore of oligotrophic Lake Superior. To understand how tributary loads contribute to nearshore blooms, we sampled two southwestern shore tributaries, Bois Brule and Siskiwit Rivers. We collected water-quality samples to compute nutrient and sediment loads and to assess cyanobacteria community composition from the tributaries to the nearshore. We collected suspended and streambed sediment to assess the capacity for sediment to store and transport bioavailable P and to assess cyanobacteria community composition. Storm flows drove export of SS, total P, and total nitrogen, with the majority of total P being particulate P. Equilibrium P concentrations revealed that SS sorbed P as it is moved through the stream network across sites and seasons and was a potential source of P to the nearshore. However, streambed sediment in the Bois Brule and Siskiwit River watersheds were P sinks during summer, which potentially delayed transport of dissolved P to the lake. The cyanobacteria community varied spatially and temporally relating to multiple environmental variables including nutrients (P, N, and C) and specific conductivity. Cyanobacteria capable of producing cyanotoxins were present in tributaries and found across multiple environmental compartments indicating a potential for fluvial flow to the nearshore. This study demonstrated that streamflow is a primary driver of total nutrient and sediment loading in both watersheds, which indicates the potential for algal loading to the nearshore via suspended sediment or water.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102409","usgsCitation":"Kreiling, R.M., Givens, C.E., Baker, A., Kiesling, R.L., Dantoin, E.D., Perner, P.M., Sterner, S.P., Gierke, K., and Reneau, P., 2024, Role of tributary cyanobacterial and nutrient transport and sediment processes on cyanobacterial bloom initiation in Lake Superior nearshore: Journal of Great Lakes Research, v. 51, no. 1, 102409, 16 p., https://doi.org/10.1016/j.jglr.2024.102409.","productDescription":"102409, 16 p.","ipdsId":"IP-163435","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":432442,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":439227,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102409","text":"Publisher Index Page"}],"country":"United 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J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":909395,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reneau, Paul 0000-0002-1335-7573","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":217293,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909396,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70257517,"text":"70257517 - 2024 - Asymmetric mate preference and reproductive interference mediate climate-induced changes in mate availability in a small mammal hybrid zone","interactions":[],"lastModifiedDate":"2024-09-09T15:50:42.511689","indexId":"70257517","displayToPublicDate":"2024-08-07T08:36:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal 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Here, we present field-measured parentage data that document the reproductive outcomes of changes in mate availability at a secondary contact zone between two species of woodrat in the genus Neotoma. Changes in mate availability resulted from drought-driven differential survival between the species and their hybrids. As the availability of conspecifc mates declined, rates of hybridization increased, leading to the accumulation of admixed individuals in the zone of contact. Patterns of reproductive success in the wild appear to be the result of a combination of both pre-mating isolation and post-zygotic selection resulting from genomic incompatibilities between the parental lineages. Evidence of asymmetric mate preference between the parental lineages came from both skewed reproductive output in the field and laboratory preference trials. Moreover, partial genomic incompatibility was evident from the near-zero reproductive success of F1 males and because nearly all surviving hybrids had one pure parent. Nonetheless, the high reproductive success of F1 females and backcrossing in both parental directions allow for introgression between the parental species. These findings reveal how climate change may alter evolutionary outcomes for species at the edge of their ranges through an interplay of behavioral, demographic, and genetic mechanisms.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/evolut/qpae110","usgsCitation":"Matocq, M.D., Hunter, E.A., Murphy, P.J., Adkins, C.L., and Shoemaker, K.T., 2024, Asymmetric mate preference and reproductive interference mediate climate-induced changes in mate availability in a small mammal hybrid zone: Evolution, qpae110, 13 p., https://doi.org/10.1093/evolut/qpae110.","productDescription":"qpae110, 13 p.","ipdsId":"IP-145596","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498268,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/evolut/qpae110","text":"Publisher Index Page"},{"id":433627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Camp Roberts Military reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.79598611853271,\n 35.785590501974994\n ],\n [\n -120.79598611853271,\n 35.758103908925094\n ],\n [\n -120.7544854283608,\n 35.758103908925094\n ],\n [\n -120.7544854283608,\n 35.785590501974994\n ],\n [\n -120.79598611853271,\n 35.785590501974994\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Matocq, Marjorie D.","contributorId":343055,"corporation":false,"usgs":false,"family":"Matocq","given":"Marjorie","email":"","middleInitial":"D.","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":910597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Peter J.","contributorId":343058,"corporation":false,"usgs":false,"family":"Murphy","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":910599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adkins, Casey L.","contributorId":344062,"corporation":false,"usgs":false,"family":"Adkins","given":"Casey","email":"","middleInitial":"L.","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":912758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shoemaker, Kevin T.","contributorId":343060,"corporation":false,"usgs":false,"family":"Shoemaker","given":"Kevin","email":"","middleInitial":"T.","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":910600,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70270165,"text":"70270165 - 2024 - The 2023 Alaska National Seismic Hazard Model","interactions":[],"lastModifiedDate":"2025-08-12T14:54:28.804879","indexId":"70270165","displayToPublicDate":"2024-08-07T07:48:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"The 2023 Alaska National Seismic Hazard Model","docAbstract":"US Geological Survey (USGS) National Seismic Hazard Models (NSHMs) are used extensively for seismic design regulations in the United States and earthquake scenario development, as well as risk assessment and mitigation for both buildings and infrastructure. This 2023 update of the long-term, time-independent Alaska NSHM includes substantial changes to both the earthquake rupture forecast (ERF) and ground motion models (GMMs). The ERF includes numerous additions to the finite-fault model, considers two deformation models, and introduces updated declustering and smoothing algorithms in the gridded background seismicity model. For the Alaska–Aleutian subduction zone, megathrust earthquakes occur on an updated structural and segmentation model, and the moment magnitude (M) 8+ rupture and rate model include a logic tree branch that considers slip rates derived from geodetic models of interface coupling. The megathrust model considers multiple models of down-dip width, and magnitudes are computed using newly developed scaling relations. For subduction intraslab events and subduction interface events with M < 7, the 2023 update uses a smoothed seismicity model with rupture depths derived from Slab2. The 2023 model updates GMMs in all tectonic settings using the recently published Next Generation Attenuation Subduction (NGA-Sub) GMMs for subduction interface and intraslab events, and the NGA-West2 GMMs for active crustal settings. Collectively, additions and updates to the Alaska NSHM result in hazard increases across most of south-central Alaska relative to the previous model, published in 2007. These changes are primarily due to the adoption of updated rate models for the large-magnitude interface events and the NGA-Sub GMMs that have much higher aleatory variability (sigma), consistent with global observations, and that include models of epistemic uncertainty.
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Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Altekruse, Jason M. 0000-0002-8798-9514","orcid":"https://orcid.org/0000-0002-8798-9514","contributorId":291308,"corporation":false,"usgs":true,"family":"Altekruse","given":"Jason","email":"","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":945607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":945608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haynie, Kirstie Lafon 0000-0001-9930-6736","orcid":"https://orcid.org/0000-0001-9930-6736","contributorId":289894,"corporation":false,"usgs":true,"family":"Haynie","given":"Kirstie","email":"","middleInitial":"Lafon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945609,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":945610,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bender, Adrian 0000-0001-7469-1957","orcid":"https://orcid.org/0000-0001-7469-1957","contributorId":219952,"corporation":false,"usgs":true,"family":"Bender","given":"Adrian","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":945611,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":238513,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945612,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945613,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, James Andrew 0000-0002-5565-9254 jimsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-9254","contributorId":332933,"corporation":false,"usgs":true,"family":"Smith","given":"James","email":"jimsmith@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":945614,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945615,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":219962,"corporation":false,"usgs":true,"family":"Witter","given":"Robert","email":"rwitter@usgs.gov","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":945616,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Mueller, Charles 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":140380,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":945617,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Zeng, Yuehua 0000-0003-1161-1264 zeng@usgs.gov","orcid":"https://orcid.org/0000-0003-1161-1264","contributorId":145693,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945618,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Girot, Demi Leafar 0000-0002-4954-1858","orcid":"https://orcid.org/0000-0002-4954-1858","contributorId":332931,"corporation":false,"usgs":true,"family":"Girot","given":"Demi","email":"","middleInitial":"Leafar","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":945619,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Herrick, Julie A. 0000-0003-0682-760X","orcid":"https://orcid.org/0000-0003-0682-760X","contributorId":243649,"corporation":false,"usgs":true,"family":"Herrick","given":"Julie","middleInitial":"A.","affiliations":[],"preferred":true,"id":945620,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Shumway, Allison 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945621,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":945622,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70258105,"text":"70258105 - 2024 - Unforeseen plant phenotypic diversity in a dry and grazed world","interactions":[],"lastModifiedDate":"2024-09-04T12:15:26.144456","indexId":"70258105","displayToPublicDate":"2024-08-07T07:11:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Unforeseen plant phenotypic diversity in a dry and grazed world","docAbstract":"Earth harbours an extraordinary plant phenotypic diversity1 that is at risk from ongoing global changes2,3. However, it remains unknown how increasing aridity and livestock grazing pressure—two major drivers of global change4,5,6—shape the trait covariation that underlies plant phenotypic diversity1,7. Here we assessed how covariation among 20 chemical and morphological traits responds to aridity and grazing pressure within global drylands. Our analysis involved 133,769 trait measurements spanning 1,347 observations of 301 perennial plant species surveyed across 326 plots from 6 continents. Crossing an aridity threshold of approximately 0.7 (close to the transition between semi-arid and arid zones) led to an unexpected 88% increase in trait diversity. This threshold appeared in the presence of grazers, and moved toward lower aridity levels with increasing grazing pressure. Moreover, 57% of observed trait diversity occurred only in the most arid and grazed drylands, highlighting the phenotypic uniqueness of these extreme environments. Our work indicates that drylands act as a global reservoir of plant phenotypic diversity and challenge the pervasive view that harsh environmental conditions reduce plant trait diversity8,9,10. They also highlight that many alternative strategies may enable plants to cope with increases in environmental stress induced by climate change and land-use intensification.
Hydrologic stress is increasing in Fremont cottonwood (Populus fremontii) forests across the southwestern United States because of increased temperature and streamflow diversion. The spatial variability of this stress is large yet poorly understood. Along the Yampa and Green Rivers in Colorado and Utah, vapour pressure deficit and flow diversions increase downstream. To investigate effects of this gradient on cottonwoods, we measured the percent live canopy and height of randomly selected trees at three sites: Deerlodge Park on the Yampa River (DLP), Island Park on the upper Green (ILP) and Canyonlands National Park on the lower Green (CAN). From these same trees, we took increment cores to understand differences in tree growth in each forest over time. We then related tree metrics to local water availability, streamflow and climatic data. Cottonwoods at CAN were shorter and had lower percent live canopy and growth rate than similarly aged trees upstream. CAN trees that grew higher above the water surface also tended to have lower tree growth, height and live canopy percentage. Furthermore, the correlation between tree growth and maximum vapour pressure deficit showed a much stronger negative shift since 1990 at CAN than at the other sites. All of these differences suggest higher hydrologic stress at CAN, which we attribute to the combined effects of peak flow declines from Flaming Gorge Reservoir, flow diversion and the higher and increasing vapour pressure deficit at CAN. Further research on the variability of hydrologic stress on cottonwoods could help managers anticipate and mitigate the effects of drought stress in these iconic forests.
Aftershocks offer valuable clues to earthquake behavior. The challenge: quickly deploying sensors to capture the early details of earthquake ruptures within the zone of aftershocks. Telecommunication fibers might be an answer, providing denser networks in otherwise difficult areas, potentially faster than traditional methods.
","conferenceTitle":"2024 IEEE Photonics Society Summer Topicals Meeting Series","conferenceDate":"July 15-17, 2024","conferenceLocation":"Bridgetown, Barbados","language":"English","publisher":"IEEE","doi":"10.1109/SUM60964.2024.10614569","usgsCitation":"Barbour, A.J., 2024, Telecommunications fiber for sensing earthquake aftershocks: Progress and hurdles, 2024 IEEE Photonics Society Summer Topicals Meeting Series, Bridgetown, Barbados, July 15-17, 2024, 3 p., https://doi.org/10.1109/SUM60964.2024.10614569.","productDescription":"3 p.","ipdsId":"IP-164550","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":501741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barbour, Andrew J. 0000-0002-6890-2452 abarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":197158,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","email":"abarbour@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906599,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70257043,"text":"70257043 - 2024 - Bayesian multistate models for measuring invasive carp movement and evaluating telemetry array performance","interactions":[],"lastModifiedDate":"2024-08-09T16:14:16.630524","indexId":"70257043","displayToPublicDate":"2024-08-06T10:54:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian multistate models for measuring invasive carp movement and evaluating telemetry array performance","docAbstract":"Understanding the movement patterns of an invasive species can be a powerful tool in designing effective management and control strategies. Here, we used a Bayesian multistate model to investigate the movement of two invasive carp species, silver carp (Hypophthalmichthys molitrix) and bighead carp (H. nobilis), using acoustic telemetry. The invaded portions of the Illinois and Des Plaines Rivers, USA, are a high priority management zone in the broader efforts to combat the spread of invasive carps from reaching the Laurentian Great Lakes. Our main objective was to characterize the rates of upstream and downstream movements by carps between river pools that are maintained by navigation lock and dam structures. However, we also aimed to evaluate the efficacy of the available telemetry infrastructure to monitor carp movements through this system. We found that, on a monthly basis, most individuals of both species remained within their current river pools: averaging 76.2% of silver carp and 75.5% of bighead carp. Conversely, a smaller proportion of silver carp, averaging 14.2%, and bighead carp, averaging 13.9%, moved to downstream river pools. Movements towards upstream pools were the least likely for both species, with silver carp at an average of 6.7% and bighead carp at 7.9%. The highest probabilities for upstream movements were for fish originating from the three most downstream river pools, where most of the population recruitment occurs. However, our evaluation of the telemetry array’s effectiveness indicated low probability to detect fish in this portion of the river. We provide insights to enhance the placement and use of these monitoring tools, aiming to deepen our comprehension of these species’ movement patterns in the system.
","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.17834","usgsCitation":"Stanton, J.C., Brey, M.K., Coulter, A.A., Stewart, D.R., and Knights, B., 2024, Bayesian multistate models for measuring invasive carp movement and evaluating telemetry array performance: PeerJ, v. 12, e17834, 24 p., https://doi.org/10.7717/peerj.17834.","productDescription":"e17834, 24 p.","ipdsId":"IP-151880","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":439228,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.17834","text":"Publisher Index Page"},{"id":432445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois Waterway","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.49554914748546,\n 41.90688869415442\n ],\n [\n -89.45630498792075,\n 41.4339499690158\n ],\n [\n -90.8325528903585,\n 39.87365631252747\n ],\n [\n -90.76518343836855,\n 38.31770023259065\n ],\n [\n -89.99975174472505,\n 40.02128386582143\n ],\n [\n -88.86084431751425,\n 41.19214478105948\n ],\n [\n -87.61745601726525,\n 41.47177424129181\n ],\n [\n -87.49554914748546,\n 41.90688869415442\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":909278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":909279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coulter, Alison A.","contributorId":90992,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison","email":"","middleInitial":"A.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false},{"id":26877,"text":"Southern Illinois University, Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":909281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, David R.","contributorId":337778,"corporation":false,"usgs":false,"family":"Stewart","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":909282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knights, Brent 0000-0001-8526-8468","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":304124,"corporation":false,"usgs":false,"family":"Knights","given":"Brent","affiliations":[{"id":65975,"text":"UMESC Retired","active":true,"usgs":false}],"preferred":false,"id":909280,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257144,"text":"70257144 - 2024 - Spatial patterns of seed removal by harvester ants in a seed tray experiment","interactions":[],"lastModifiedDate":"2025-02-11T23:01:42.188472","indexId":"70257144","displayToPublicDate":"2024-08-06T06:16:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1536,"text":"Environmental Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns of seed removal by harvester ants in a seed tray experiment","docAbstract":"Using a selection of native grass and forb seeds commonly seeded in local restoration projects, we conducted a field experiment to evaluate the effects of seed species, distance of seed patches from nests, and distance between patches on patterns of seed removal by Owyhee harvester ants, Pogonomyrmex salinus (Olsen) (Hymenoptera: Formicidae). To provide context for ants’ seed preferences, we evaluated differences in handling time among seed species. In addition, we assessed the influences of cheatgrass, Bromus tectorum (L.) (Poales: Poaceae), and Sandberg bluegrass, Poa secunda (J. Presl) (Poales: Poaceae), cover on seed removal. We found significant differences in removal rates among seed species. In general, seeds placed closer to nests were more vulnerable to predation than those placed farther away, and seeds in closely spaced patches were more vulnerable than seeds in widely spaced patches. However, the strength of these effects differed by seed species. Differences in handling time among seed species may help to explain these findings; the protective effect of from-nest distance was weaker for species that required less time to transport. For 2 of the seed species, there was an interaction between the distance of seed patches from nests and the distance between patches such that the protective effect of distance between patches decreased as the distance from nests increased. Cheatgrass and bluegrass cover both had small protective effects on seeds. Taken together, these results offer insight into the spatial ecology of harvester ant foraging and may provide context for the successful implementation of restoration efforts where harvester ants are present.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ee/nvae069","usgsCitation":"Grossklaus, M.R., Pilliod, D., Caughlin, T.T., and Robertson, I.C., 2024, Spatial patterns of seed removal by harvester ants in a seed tray experiment: Environmental Entomology, nvae069, https://doi.org/10.1093/ee/nvae069.","productDescription":"nvae069","ipdsId":"IP-164771","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":502630,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":432478,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Grossklaus, Michaela Ray 0009-0002-0890-6520","orcid":"https://orcid.org/0009-0002-0890-6520","contributorId":342051,"corporation":false,"usgs":true,"family":"Grossklaus","given":"Michaela","email":"","middleInitial":"Ray","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":909560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":909561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caughlin, T. Trevor","contributorId":218133,"corporation":false,"usgs":false,"family":"Caughlin","given":"T.","email":"","middleInitial":"Trevor","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":909562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robertson, Ian C.","contributorId":342053,"corporation":false,"usgs":false,"family":"Robertson","given":"Ian","email":"","middleInitial":"C.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":909563,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266288,"text":"70266288 - 2024 - A protocol for assessing bias and robustness of social network metrics using GPS based radio-telemetry data","interactions":[],"lastModifiedDate":"2026-02-10T17:59:55.306147","indexId":"70266288","displayToPublicDate":"2024-08-06T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"A protocol for assessing bias and robustness of social network metrics using GPS based radio-telemetry data","docAbstract":"Background
Social network analysis of animal societies allows scientists to test hypotheses about social evolution, behaviour, and dynamic processes. However, the accuracy of estimated metrics depends on data characteristics like sample proportion, sample size, and frequency. A protocol is urgently needed to assess for bias and robustness of social network metrics estimated for the animal populations especially when a limited number of individuals are monitored.
Methods
We used GPS telemetry datasets of five ungulate species to combine known social network approaches with novel ones into a comprehensive five-step protocol. To quantify the bias and uncertainty in the network metrics obtained from a partial population, we presented novel statistical methods which are particularly suited for autocorrelated data, such as telemetry relocations. The protocol was validated using a sixth species, the fallow deer, with a known population size where ⇠ 85% of the individuals have been directly monitored.
Results
Through the protocol, we demonstrated how pre-network data permu tations allow researchers to assess non-random aspects of interactions within a population. The protocol assesses bias in global network metrics, obtains confidence intervals, and quantifies uncertainty of global and node-level network metrics based on the number of nodes in the network. We found that global network metrics like density remained robust even with a lowered sample size, while local network metrics like eigenvector centrality were unreliable for four of the species. The fallow deer network showed low uncertainty and bias even at lower sampling proportions, indicating the importance of a thoroughly sampled population while demonstrating the accuracy of our evaluation methods for smaller samples.
Conclusions
The protocol allows researchers to analyse GPS-based radio telemetry or other data to determine the reliability of social network metrics. The estimates enable the statistical comparison of networks under di↵erent conditions, such as analysing daily and seasonal changes in the density of a network. The methods can also guide methodological decisions in animal social network research, such as sampling design and allow more accurate ecological inferences from the available data. The R package aniSNA enables researchers to implement this workflow on their dataset, generating reliable inferences and guiding methodological decisions
","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-024-00494-6","usgsCitation":"Kaur, P., Ciuti, S., Ossi, F., Cagnacci, F., Morellet, N., Loison, A., Atmeh, K., McLoughlin, P., Reinking, A., Beck, J.L., Ortega, A.C., Kauffman, M., Boyce, M.S., Haigh, A., David, A., Griffin, L., Conteddu, K., Faull, J., and Salter-Townshend, M., 2024, A protocol for assessing bias and robustness of social network metrics using GPS based radio-telemetry data, v. 12, 55, 36 p., https://doi.org/10.1186/s40462-024-00494-6.","productDescription":"55, 36 p.","ipdsId":"IP-167767","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485356,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":487941,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-024-00494-6","text":"Publisher Index Page"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2024-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Kaur, Prabhleen","contributorId":354311,"corporation":false,"usgs":false,"family":"Kaur","given":"Prabhleen","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ciuti, Simone","contributorId":348021,"corporation":false,"usgs":false,"family":"Ciuti","given":"Simone","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ossi, Federico","contributorId":342386,"corporation":false,"usgs":false,"family":"Ossi","given":"Federico","email":"","affiliations":[{"id":81867,"text":"Research and Innovation Centre, Fondazione Edmund Mach","active":true,"usgs":false}],"preferred":false,"id":935389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cagnacci, Francesca","contributorId":342410,"corporation":false,"usgs":false,"family":"Cagnacci","given":"Francesca","affiliations":[{"id":81867,"text":"Research and Innovation Centre, Fondazione Edmund Mach","active":true,"usgs":false}],"preferred":false,"id":935390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morellet, Nicolas","contributorId":342402,"corporation":false,"usgs":false,"family":"Morellet","given":"Nicolas","affiliations":[{"id":41661,"text":"Université de Toulouse","active":true,"usgs":false}],"preferred":false,"id":935391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loison, Anne","contributorId":284699,"corporation":false,"usgs":false,"family":"Loison","given":"Anne","email":"","affiliations":[],"preferred":false,"id":935392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Atmeh, Kamal","contributorId":348008,"corporation":false,"usgs":false,"family":"Atmeh","given":"Kamal","affiliations":[{"id":83278,"text":"Laboratoire Biometrie; Universit´e de Savoie Mont-Blanc","active":true,"usgs":false}],"preferred":false,"id":935393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McLoughlin, Philip","contributorId":348034,"corporation":false,"usgs":false,"family":"McLoughlin","given":"Philip","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":935394,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reinking, Adele K.","contributorId":348037,"corporation":false,"usgs":false,"family":"Reinking","given":"Adele K.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":935395,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Beck, Jeffrey L.","contributorId":287806,"corporation":false,"usgs":false,"family":"Beck","given":"Jeffrey","middleInitial":"L.","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":935396,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ortega, Anna C.","contributorId":280169,"corporation":false,"usgs":false,"family":"Ortega","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":935397,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935398,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Boyce, Mark S.","contributorId":113205,"corporation":false,"usgs":false,"family":"Boyce","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":12980,"text":"Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":935399,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Haigh, Amy","contributorId":354314,"corporation":false,"usgs":false,"family":"Haigh","given":"Amy","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935400,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"David, Anna","contributorId":354317,"corporation":false,"usgs":false,"family":"David","given":"Anna","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935401,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Griffin, Laura L.","contributorId":354320,"corporation":false,"usgs":false,"family":"Griffin","given":"Laura L.","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935402,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Conteddu, Kimberly","contributorId":354323,"corporation":false,"usgs":false,"family":"Conteddu","given":"Kimberly","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935403,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Faull, Jane","contributorId":354326,"corporation":false,"usgs":false,"family":"Faull","given":"Jane","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935404,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Salter-Townshend, Michael","contributorId":354329,"corporation":false,"usgs":false,"family":"Salter-Townshend","given":"Michael","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935405,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70256979,"text":"fs20243022 - 2024 - Projected sea-level rise and high tide flooding at Big Cypress National Preserve, Florida","interactions":[],"lastModifiedDate":"2026-01-27T18:01:19.988278","indexId":"fs20243022","displayToPublicDate":"2024-08-05T13:26:49","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3022","displayTitle":"Projected Sea-Level Rise and High Tide Flooding at Big Cypress National Preserve, Florida","title":"Projected sea-level rise and high tide flooding at Big Cypress National Preserve, Florida","docAbstract":"National parks and preserves in the South Atlantic-Gulf Region contain valuable coastal habitats such as tidal wetlands and mangrove forests, as well as irreplaceable historic buildings and archeological sites located in low-lying areas. These natural and cultural resources are vulnerable to accelerated sea-level rise and escalating high tide flooding events. Through a Natural Resources Preservation Program-funded project during 2021–23, the U.S. Geological Survey, in collaboration with the National Park Service, estimated the probability of inundation at Big Cypress National Preserve, Florida, and several other parks under various sea-level rise scenarios and contemporary high tide flooding thresholds. The maps produced for this effort can be used to assess potential habitat change and explore how infrastructure and cultural resources within the park may be exposed to future flooding-related hazards.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243022","issn":"2327-6932","collaboration":"Prepared in collaboration with the National Park Service","usgsCitation":"Thurman, H.R., Enwright, N.M., Osland, M.J., Passeri, D.L., Day, R.H., Simons, B.M., Danielson, J.J., and Cushing, W.M., 2024, Projected sea-level rise and high tide flooding at Big Cypress National Preserve, Florida: U.S. Geological Survey Fact Sheet 2024–3022, 6 p., https://doi.org/10.3133/fs20243022.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-156829","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":499121,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117163.htm","linkFileType":{"id":5,"text":"html"}},{"id":432199,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3022/coverthb.jpg"},{"id":462367,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243023","text":"USGS Fact Sheet 2024-3023","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Dry Tortugas National Park, Florida"},{"id":462366,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243021","text":"USGS Fact Sheet 2024-3021","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at San Juan National Historic Site, Puerto Rico"},{"id":462365,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243016","text":"USGS Fact Sheet 2024-3016","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at De Soto National Memorial, Florida"},{"id":462364,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243008","text":"USGS Fact Sheet 2024-3008","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Timucuan Ecological and Historic Preserve, Florida"},{"id":432201,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JH8KQN","text":"USGS Data Release","linkHelpText":"Sea-level rise and high tide flooding inundation probability and depth statistics at Big Cypress National Preserve, Florida"},{"id":432200,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3022/fs20243022.pdf","size":"5.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2024-3022"},{"id":462368,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243024","text":"USGS Fact Sheet 2024-3024","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Biscayne National Park, Florida"}],"country":"United States","state":"Florida","otherGeospatial":"Big Cypress National Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.46349653045958,\n 26.067266018456394\n ],\n [\n -81.46349653045958,\n 25.57788455042902\n ],\n [\n -80.80175594994878,\n 25.57788455042902\n ],\n [\n -80.80175594994878,\n 26.067266018456394\n ],\n [\n -81.46349653045958,\n 26.067266018456394\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Wetland and Aquatic Research Center
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700 Cajundome Blvd.
Lafayette, LA 70506–3152
Contact Us- USGS Publications Warehouse
","tableOfContents":"Rivers and surface-water reservoirs supply drinking water to most residents throughout the Triangle area in North Carolina. These drinking-water supplies may be at risk because of rapid and continued land use change throughout the region. In partnership with the U.S. Geological Survey, several Triangle-area municipalities established a long-term water-quality and streamflow monitoring program to quantify changes in water quality and water availability over time and to evaluate the relative risk of potential contaminants in these drinking-water sources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243032","issn":"2327-6916, 2327-6932","collaboration":"Prepared in cooperation with the Town of Apex, Town of Cary, Chatham County, City of Durham, Town of Hillsborough, Town of Morrisville, Orange County, Orange Water and Sewer Authority, and Central Pines Regional Council","usgsCitation":"Fanelli, R., Hardesty, D., and Diaz, J., 2024, Triangle Area Water Supply Monitoring Project, North Carolina: U.S. Geological Survey Fact Sheet 2024-3032, 4 p., https://doi.org/10.3133/fs20243032.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-149662","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":499127,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117162.htm","linkFileType":{"id":5,"text":"html"}},{"id":432175,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3032/fs20243032.pdf","size":"3.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3032"},{"id":432174,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3032/coverthb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Triangle area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.25,\n 36.25\n ],\n [\n -79.25,\n 35.666\n ],\n [\n -78.55,\n 35.666\n ],\n [\n -78.55,\n 36.25\n ],\n [\n -79.25,\n 36.25\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, South Atlantic Water Science Center
1770 Corporate Drive, Suite 500
Norcross, GA 30093
Contact Us- USGS Publications Warehouse
","tableOfContents":"Groundwater resources are utilized near areas of intensive oil and gas development in California’s San Joaquin Valley. In this study, we examined chemical and isotopic data to assess if thermogenic gas or saline water from oil producing formations have mixed with groundwater near the Elk Hills and North Coles Levee Oil Fields in the southwestern San Joaquin Valley. Major ion concentrations and stable isotope compositions were largely consistent with natural processes, including mixing of different recharge sources and water-rock interactions. Trace methane concentrations likely resulted from microbial rather than thermogenic sources. Trace concentrations of benzene and other dissolved hydrocarbons in three wells had uncertain sources that could occur naturally or be derived from oil and gas development activities or other anthropogenic sources. In the mid-1990s, two industrial supply wells had increasing Cl and B concentrations likely explained by mixing with up to 15 percent saline oil-field water injected for disposal in nearby injection disposal wells. Shallow groundwater along the western margin of Buena Vista Lake Bed had elevated Cl, B, and SO4 concentrations that could be explained by accumulation of salts during natural wetting and drying cycles or, alternatively, legacy surface disposal of saline oil-field water in upgradient ephemeral drainages. This study showed that groundwater had relatively little evidence of thermogenic gas or saline water from oil and gas sources in most parts of the study area. However, the evidence for groundwater mixing with injected disposal water, and possibly legacy surface disposal water, demonstrates produced water management practices as a potential risk factor for groundwater-quality degradation near oil and gas fields. Additional studies in the San Joaquin Valley and elsewhere could improve understanding of such risks by assessing the locations, volumes, and types of produced water disposal practices used during the life of oil fields.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pwat.0000258","usgsCitation":"Warden, J.G., Landon, M.K., Stephens, M.J., Davis, T., Gillespie, J.M., McMahon, P.B., Kulongoski, J.T., Hunt, A., Shimabukuro, D.H., Gannon, R., and Ball, L.B., 2024, Assessing potential effects of oil and gas development activities on groundwater quality near and overlying the Elk Hills and North Coles Levee Oil Fields, San Joaquin Valley, California: PLOS Water, v. 3, no. 8, e0000258, 37 p., https://doi.org/10.1371/journal.pwat.0000258.","productDescription":"e0000258, 37 p.","ipdsId":"IP-153863","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":439229,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pwat.0000258","text":"Publisher Index Page"},{"id":432337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Elk Hills and North Coles Levee Oil Fields, San Joaquin Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.10617619335798,\n 35.413607176236184\n ],\n [\n -120.10617619335798,\n 34.779786117322814\n ],\n [\n -119.0959554577856,\n 34.779786117322814\n ],\n [\n -119.0959554577856,\n 35.413607176236184\n ],\n [\n -120.10617619335798,\n 35.413607176236184\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Warden, John G. 0000-0003-1384-458X","orcid":"https://orcid.org/0000-0003-1384-458X","contributorId":215846,"corporation":false,"usgs":true,"family":"Warden","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephens, Michael J. 0000-0001-8995-9928","orcid":"https://orcid.org/0000-0001-8995-9928","contributorId":205895,"corporation":false,"usgs":true,"family":"Stephens","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Tracy 0000-0003-0253-6661 tadavis@usgs.gov","orcid":"https://orcid.org/0000-0003-0253-6661","contributorId":176921,"corporation":false,"usgs":true,"family":"Davis","given":"Tracy","email":"tadavis@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gillespie, Janice M. 0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":219675,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice","email":"","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909256,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hunt, Andrew G. 0000-0002-3810-8610","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":206197,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":909257,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shimabukuro, David H. 0000-0002-6106-5284","orcid":"https://orcid.org/0000-0002-6106-5284","contributorId":208209,"corporation":false,"usgs":false,"family":"Shimabukuro","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":909258,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gannon, Riley 0000-0002-1239-1083","orcid":"https://orcid.org/0000-0002-1239-1083","contributorId":205967,"corporation":false,"usgs":true,"family":"Gannon","given":"Riley","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909259,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":909260,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70256992,"text":"70256992 - 2024 - Quantifying the coastal hazard risk reduction benefits of coral reef restoration in the U.S. Virgin Islands","interactions":[],"lastModifiedDate":"2024-08-06T14:06:28.452215","indexId":"70256992","displayToPublicDate":"2024-08-05T08:52:43","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Quantifying the coastal hazard risk reduction benefits of coral reef restoration in the U.S. Virgin Islands","docAbstract":"Coastal habitat restoration, especially of coral reef ecosystems, can significantly reduce the exposure of coastal communities to natural hazards and, consequently, the risk of wave-driven flooding. Likewise, reef degradation can increase coastal flood risks to people and property. In this study, the valuation of coral reefs in the United States Virgin Islands (USVI), along the coasts of St. Croix, St. John, and St. Thomas, demonstrated the social and economic benefits provided by these natural defenses. Across the territory, more than 481 people and $31.2 million of infrastructure were estimated to receive protection from coral reefs per year (2010 U.S. dollars). In 2017, Hurricanes Irma and Maria significantly damaged coral reefs throughout the archipelago. By combining engineering, ecological, geospatial, social, and economic data and tools, this study provided a rigorous valuation of where potential coral reef restoration projects could help rebuild these damaged habitats and decrease the risks from coastal hazards faced by USVI’s reef-fronted communities. Multiple restoration scenarios were considered in the analysis, two of which are detailed in this report. These include (1) ‘Ecological’ restoration, where restoration creates a structure that is 0.25 m high and 25-m-wide reef, and (2) ‘Hybrid’ restoration, where restoration creates a structure that is 1.25 m high and 5 m wide. There are many ways that such structures could be developed. In the hydrodynamic analyses, there are no assumptions about how the restoration is developed. Many practitioners of both coral (and oyster reef) restoration consider that a reef height of 0.25 m might be delivered from planting corals alone and that 1.25 m might require a combination of artificial structures and coral planting. In a third scenario, the analysis investigated the reduction of protection benefits that would occur through the reduction of 1 meter of naturally occurring reef height due to reef degradation. The reduction of protection due to the loss of reefs can also be interpreted as the protection value of the existing reefs.
In all studied restoration scenarios, it was assumed that the planting of corals would enhance hydrodynamic roughness, effectively dissipating incident wave energy and reducing the potential for coastal flooding. A standardized approach was employed to strategically locate potential restoration projects along the entire linear extent of existing reefs bordering the USVI, and to identify where coral reef restoration could offer valuable benefits in flood reduction. Potential restoration projects were only located within the existing distribution of reefs across the region, even though numerous sites were positioned far offshore (2-3 km), and some were at relatively deep depths (up to 7 m). Risk-based valuation approaches were followed to delineate flood zones at a 10 m2 resolution along the entire region's reef-lined shorelines for all the potential coral reef restoration scenarios. These were subsequently compared to flood zones without coral reef restoration.
The potential reduction in coastal flood risk provided by coral reef restoration, and the protection value of existing reefs, were quantified utilizing the latest information available at the time of analysis from the U.S. Census Bureau, Federal Emergency Management Agency (FEMA), and Bureau of Economic Analysis for return-interval storm events. The change in Expected Annual Damages (EAD), a metric indicating the annual protection gained due to coral reef restoration, was calculated based on the damages associated with each storm probability. The findings suggest that the benefits of reef restoration are spatially variable within the USVI. In some areas, the analysis showed limited benefits from reef restoration, which may be attributed to the depth or offshore distances of proposed restoration sites. However, there were a number of key areas where reef restoration could have substantial benefits for flood risk reduction.
The annual flood risk reduction attributed to potential ‘ecological’ coral reef restoration in the USVI was 99 people and $6.1 million (2010 U.S. dollars). The Benefit-to-Cost Ratio (BCR) for this restoration approach was found to be larger than 1 (i.e., cost-effective) along 11% of the St. Croix coastline, 4.9% of the St. John coastline, and 8.7% of the St. Thomas coastline. This analysis offers stakeholders and decision-makers a spatially explicit and rigorous evaluation that illustrates how, where, and when potential coral reef restoration efforts in St. Croix, St. John, and St. Thomas could be instrumental to reducing coastal storm-induced flooding. Understanding areas where reef management, recovery, and restoration could effectively reduce climate hazard-related risks is crucial to protect and enhance the resilience of coastal communities in USVI.
","language":"English","publisher":"UC Santa Cruz: Institute of Marine Sciences","doi":"10.48330/E2KW29","usgsCitation":"Gaido-Lasserre, C., Pietsch McNulty, V., Storlazzi, C.D., Reguero, B., Perez, D., Fogg, S., Cumming, K., Ward, J., Schill, S., Jarvis, C., and Beck, M.W., 2024, Quantifying the coastal hazard risk reduction benefits of coral reef restoration in the U.S. Virgin Islands, 52 p., https://doi.org/10.48330/E2KW29.","productDescription":"52 p.","ipdsId":"IP-166374","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":432280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"U.S. Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -64.89853627285596,\n 17.78032509548528\n ],\n [\n -64.91534633574153,\n 17.668791399601787\n ],\n [\n -64.7512199315826,\n 17.679655895654207\n ],\n [\n -64.58471325012687,\n 17.717983581310648\n ],\n [\n -64.5498897191522,\n 17.749725036967973\n ],\n [\n -64.56550026752014,\n 17.786043025182423\n ],\n [\n -64.70644862596937,\n 17.76402533808748\n ],\n [\n -64.75365398809546,\n 17.790039662933943\n ],\n [\n -64.89853627285596,\n 17.78032509548528\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -64.64779747071468,\n 18.337344893286186\n ],\n [\n -64.69865461415212,\n 18.370867325054306\n ],\n [\n -64.76432177201092,\n 18.37852365574379\n ],\n [\n -64.92299348980592,\n 18.425573025133914\n ],\n [\n -65.07670671641762,\n 18.407342918929515\n ],\n [\n -65.09406143555093,\n 18.320870676847917\n ],\n [\n -64.84613687650035,\n 18.25907830893395\n ],\n [\n -64.67630855355056,\n 18.29027149536941\n ],\n [\n -64.64779747071468,\n 18.337344893286186\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gaido-Lasserre, Camila","contributorId":341891,"corporation":false,"usgs":false,"family":"Gaido-Lasserre","given":"Camila","email":"","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":909092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pietsch McNulty, Valerie","contributorId":341893,"corporation":false,"usgs":false,"family":"Pietsch McNulty","given":"Valerie","email":"","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":909093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909094,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reguero, Borja","contributorId":264485,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":909095,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perez, Denise","contributorId":341897,"corporation":false,"usgs":false,"family":"Perez","given":"Denise","email":"","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":909096,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fogg, Sandra","contributorId":341899,"corporation":false,"usgs":false,"family":"Fogg","given":"Sandra","email":"","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":909097,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cumming, Kristen A. 0000-0003-3647-2678","orcid":"https://orcid.org/0000-0003-3647-2678","contributorId":257561,"corporation":false,"usgs":true,"family":"Cumming","given":"Kristen A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909098,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ward, Jessica","contributorId":174856,"corporation":false,"usgs":false,"family":"Ward","given":"Jessica","affiliations":[],"preferred":false,"id":909099,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schill, Steve","contributorId":26184,"corporation":false,"usgs":true,"family":"Schill","given":"Steve","email":"","affiliations":[],"preferred":false,"id":909100,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jarvis, Celeste","contributorId":341906,"corporation":false,"usgs":false,"family":"Jarvis","given":"Celeste","email":"","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":909101,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Beck, Michael W.","contributorId":259298,"corporation":false,"usgs":false,"family":"Beck","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":909102,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70257033,"text":"70257033 - 2024 - Seasonal drought treatments impact plant and microbial uptake of nitrogen in a mixed shrub grassland on the Colorado Plateau","interactions":[],"lastModifiedDate":"2024-09-11T16:23:02.998792","indexId":"70257033","displayToPublicDate":"2024-08-05T06:55:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal drought treatments impact plant and microbial uptake of nitrogen in a mixed shrub grassland on the Colorado Plateau","docAbstract":"For many drylands, both long- and short-term drought conditions can accentuate landscape heterogeneity at both temporal (e.g., role of seasonal patterns) and spatial (e.g., patchy plant cover) scales. Furthermore, short-term drought conditions occurring over one season can exacerbate long-term, multidecadal droughts or aridification, by limiting soil water recharge, decreasing plant growth, and altering biogeochemical cycles. Here, we examine how experimentally altered seasonal precipitation regimes in a mixed shrub grassland on the Colorado Plateau impact soil moisture, vegetation, and carbon and nitrogen cycling. The experiment was conducted from 2015 to 2019, during a regional multidecadal drought event, and consisted of three precipitation treatments, which were implemented with removable drought shelters intercepting ~66% of incoming precipitation including: control (ambient precipitation conditions, no shelter), warm season drought (sheltered April–October), and cool season drought (sheltered November–March). To track changes in vegetation, we measured biomass of the dominant shrub, Ephedra viridis, and estimated perennial plant and ground cover in the spring and the fall. Soil moisture dynamics suggested that warm season experimental drought had longer and more consistent drought legacy effects (occurring two out of the four drought cycles) than either cool season drought or ambient conditions, even during the driest years. We also found that E. viridis biomass remained consistent across treatments, while bunchgrass cover declined by 25% by 2019 across all treatments, with the earliest declines noticeable in the warm season drought plots. Extractable dissolved inorganic nitrogen and microbial biomass nitrogen concentrations appeared sensitive to seasonal drought conditions, with dissolved inorganic nitrogen increasing and microbial biomass nitrogen decreasing with reduced soil volumetric water content. Carbon stocks were not sensitive to drought but were greater under E. viridis patches. Additionally, we found that under E. viridis, there was a negative relationship between dissolved inorganic nitrogen and microbial biomass nitrogen, suggesting that drought-induced increases in dissolved inorganic nitrogen may be due to declines in nitrogen uptake from microbes and plants alike. This work suggests that perennial grass plant–soil feedbacks are more vulnerable to both short-term (seasonal) and long-term (multiyear) drought events than shrubs, which can impact the future trajectory of dryland mixed shrub grassland ecosystems as drought frequency and intensity will likely continue to increase with ongoing climate change.