Constructed water quality wetlands, designed to accept tile drainage and surface runoff, are a promising solution for reducing surface water nutrient loading from agricultural systems. In addition to their water quality benefits, these systems may also offset losses of migratory waterbird stopover sites resulting from historical and future agricultural drainage modernization. To assess this possibility, we developed spatially explicit habitat models informed with expert opinion to explore the: 1) potential of water quality wetlands to provide suitable stopover resources for waterbirds during spring migration; and 2) the extent these wetlands can offset likely losses of stopover resources due to drainage modernization. We focused our modeling on the Iowa portion of the Prairie Pothole Region of North America as it was a historically important area within this vital region for waterbirds, but it has experienced widespread subsurface drainage. Model results indicate that unmitigated drainage modernization is likely to have a large negative effect on spring migratory resources for dabbling ducks and shorebirds and minimal effect on diving ducks. Water quality wetland installations are likely to provide habitat for dabbling and diving ducks, but wetland installation is unlikely to completely offset habitat losses for dabbling ducks and shorebirds. Drainage modernization aside, our results indicate that water quality wetlands can address several environmental issues associated with agricultural expansion and intensification by improving water quality and providing wetland resources for waterbirds and other organisms. Field-scale research is needed to validate these results.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-025-01930-y","usgsCitation":"Mitchell, M., Anteau, M.J., Pearse, A.T., Newcomer-Johnson, T., Christensen, J.R., Crumpton, W.R., Dyson, B., Canfield, T.J., Helmers, M., Green, D., and Forshay, K.J., 2025, Modeling wetland resources for spring migratory waterbirds under different agricultural management scenarios in the Iowa portion of the Prairie Pothole Region, USA: Wetlands, v. 45, 48, 19 p., https://doi.org/10.1007/s13157-025-01930-y.","productDescription":"48, 19 p.","ipdsId":"IP-167627","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":499637,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13157-025-01930-y","text":"Publisher Index Page"},{"id":499372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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R.","contributorId":238115,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","middleInitial":"R.","affiliations":[],"preferred":false,"id":954811,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crumpton, William R.","contributorId":167788,"corporation":false,"usgs":false,"family":"Crumpton","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":954812,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dyson, Brian","contributorId":365794,"corporation":false,"usgs":false,"family":"Dyson","given":"Brian","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":954813,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Canfield, Timothy J.","contributorId":217452,"corporation":false,"usgs":false,"family":"Canfield","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":39634,"text":"U.S. Environmental Protection Agency, Ada, OK USA","active":true,"usgs":false}],"preferred":false,"id":954814,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Helmers, Matthew","contributorId":189905,"corporation":false,"usgs":false,"family":"Helmers","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":954815,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Green, David","contributorId":167789,"corporation":false,"usgs":false,"family":"Green","given":"David","affiliations":[],"preferred":false,"id":954816,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Forshay, Kenneth J.","contributorId":221060,"corporation":false,"usgs":false,"family":"Forshay","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":954817,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70269350,"text":"70269350 - 2025 - Keystone interdependence: Sea otter responses to a prey surplus following the collapse of a rocky intertidal predator","interactions":[],"lastModifiedDate":"2025-07-18T14:55:33.746143","indexId":"70269350","displayToPublicDate":"2025-04-30T09:50:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Keystone interdependence: Sea otter responses to a prey surplus following the collapse of a rocky intertidal predator","docAbstract":"The sea star Pisaster ochraceus and sea otters (Enhydra lutris) are two predators capable of shaping rocky intertidal and kelp forest community structure and functioning. In 2013, a sea star wasting event decimated populations of Pisaster along the west coast of North America. The collapse of this species in the rocky intertidal revealed an unexpected relationship between two keystone predators. In this study, we show how the loss of Pisaster along the Monterey Peninsula, CA, USA led to an increase in mussel (Mytilus californianus) size and expansion into lower tidal zones. Before the sea star wasting event, the local sea otter population fluctuated around a near equilibrium. However, in the absence of Pisaster, sea otters increased their dietary intake on mussels, which contributed in part to a local population-level rise. These results demonstrate how the loss of a keystone predator in one ecosystem may impart population-level changes to another.
","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.adu1028","usgsCitation":"Smith, J., Fujii, J.A., Gaddam, R., Konrad, L., Lyon, S., Nicholson, T.E., Raimondi, P.T., Ridlon, A., Staedler, M.M., Tomoleoni, J.A., Yee, J.L., and Tinker, M., 2025, Keystone interdependence: Sea otter responses to a prey surplus following the collapse of a rocky intertidal predator: Science Advances, v. 11, no. 18, eadu1028, 10 p., https://doi.org/10.1126/sciadv.adu1028.","productDescription":"eadu1028, 10 p.","ipdsId":"IP-172421","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":492867,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adu1028","text":"Publisher Index Page"},{"id":492539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Big Sur, Monterey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.79326693963907,\n 36.7976100275401\n ],\n [\n -122.04548266991989,\n 36.7976100275401\n ],\n [\n -122.04548266991989,\n 36.190847738526045\n ],\n [\n -121.79326693963907,\n 36.190847738526045\n ],\n [\n -121.79326693963907,\n 36.7976100275401\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","issue":"18","noUsgsAuthors":false,"publicationDate":"2025-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Joshua G.","contributorId":358309,"corporation":false,"usgs":false,"family":"Smith","given":"Joshua G.","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":943500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fujii, Jessica A. 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Tim 0000-0002-3314-839X","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":221787,"corporation":false,"usgs":false,"family":"Tinker","given":"M. 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These waters also support planktonic and benthic cyanobacteria that produce cyanotoxins that may degrade water quality for drinking, recreation, aquatic life, and other beneficial uses. This 2016–2020 survey examined the sources and transport of four cyanotoxins—microcystins, cylindrospermopsins, anatoxins, and saxitoxins—in six river systems feeding 18 drinking water treatment plants (DWTPs) in northwestern Oregon. Benthic cyanobacteria, plankton net tows, and (or) Solid-Phase Adsorption Toxin Tracking (SPATT) samples were collected from 65 sites, including tributaries, reservoirs, main stems, and sites at or upstream from DWTPs. Concentrated extracts (320 samples) were analyzed with enzyme-linked immuno-sorbent assays (ELISA), resulting in >90% detection. Benthic cyanobacteria (n = 80) mostly Nostoc, Phormidium, Microcoleus, and Oscillatoria, yielded microcystins (76% detection), cylindrospermopsins (41%), anatoxins (45%), and saxitoxins (39%). Plankton net tow samples from tributaries and main stems (n = 94) contained saxitoxins (84%), microcystins (77%), anatoxins (25%), and cylindrospermopsins (22%), revealing their transport in seston. SPATT sampler extracts (n = 146) yielded anatoxins (81%), microcystins (66%), saxitoxins (37%), and cylindrospermopsins (32%), indicating their presence dissolved in the water. Reservoir plankton net tow samples (n = 15), most often containing Dolichospermum, yielded microcystins (87%), cylindrospermopsins (73%), and anatoxins (47%), but no saxitoxins. The high detection frequencies of cyanotoxins at sites upstream from DWTP intakes, and at sites popular for recreation, where salmon and steelhead continue to exist, highlight the need for additional study on these cyanobacteria and the factors that promote production of cyanotoxins to minimize effects on humans, aquatic ecosystems, and economies.
","language":"English","publisher":"MDPI","doi":"10.3390/phycology5020016","usgsCitation":"Carpenter, K.D., Rosen, B.H., Donahue, D., Duncan, K., Hilbrandt, B., Lewis, C., Swan, K., Triplett, T., and Welch, E., 2025, Reservoir and riverine sources of cyanotoxins in Oregon’s Cascade Range rivers tapped for municipal drinking water supply: Phycology, v. 5, no. 2, 16, 33 p., https://doi.org/10.3390/phycology5020016.","productDescription":"16, 33 p.","ipdsId":"IP-147561","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":488593,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/phycology5020016","text":"Publisher Index Page"},{"id":485991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Cascade Range rivers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.30282481409498,\n 45.719342390992665\n ],\n [\n -123.30282481409498,\n 43.15097016782153\n ],\n [\n -121.6655656767986,\n 43.15097016782153\n ],\n [\n -121.6655656767986,\n 45.719342390992665\n ],\n [\n -123.30282481409498,\n 45.719342390992665\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Carpenter, Kurt D. 0000-0002-6231-8335 kdcar@usgs.gov","orcid":"https://orcid.org/0000-0002-6231-8335","contributorId":127442,"corporation":false,"usgs":true,"family":"Carpenter","given":"Kurt","email":"kdcar@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":937118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosen, Barry H.","contributorId":317976,"corporation":false,"usgs":false,"family":"Rosen","given":"Barry","email":"","middleInitial":"H.","affiliations":[{"id":40458,"text":"Florida Gulf Coast University","active":true,"usgs":false}],"preferred":false,"id":937119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donahue, David","contributorId":294722,"corporation":false,"usgs":false,"family":"Donahue","given":"David","email":"","affiliations":[{"id":12713,"text":"Eugene Water and Electric Board","active":true,"usgs":false}],"preferred":false,"id":937120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duncan, Kari","contributorId":355201,"corporation":false,"usgs":false,"family":"Duncan","given":"Kari","affiliations":[{"id":84729,"text":"City of Lake Oswego, OR (formerly)","active":true,"usgs":false}],"preferred":false,"id":937121,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hilbrandt, Brandin","contributorId":355202,"corporation":false,"usgs":false,"family":"Hilbrandt","given":"Brandin","affiliations":[{"id":84731,"text":"North Santiam Watershed Council, Salem, OR","active":true,"usgs":false}],"preferred":false,"id":937122,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lewis, Christopher","contributorId":190155,"corporation":false,"usgs":false,"family":"Lewis","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":937123,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swan, Kim","contributorId":355203,"corporation":false,"usgs":false,"family":"Swan","given":"Kim","affiliations":[{"id":84732,"text":"Clackamas River Water Providers, Clackamas, OR","active":true,"usgs":false}],"preferred":false,"id":937124,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Triplett, Tracy","contributorId":355204,"corporation":false,"usgs":false,"family":"Triplett","given":"Tracy","affiliations":[{"id":84733,"text":"Clackamas River Water, Clackamas, OR","active":true,"usgs":false}],"preferred":false,"id":937125,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Welch, Elijah","contributorId":355205,"corporation":false,"usgs":false,"family":"Welch","given":"Elijah","affiliations":[{"id":84734,"text":"City of Salem, OR","active":true,"usgs":false}],"preferred":false,"id":937126,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70268896,"text":"70268896 - 2025 - Experimental evaluation of Eastern box turtle (Terrapene carolina carolina) detectability in visual search surveys","interactions":[],"lastModifiedDate":"2025-07-10T14:28:35.360554","indexId":"70268896","displayToPublicDate":"2025-04-30T09:09:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Experimental evaluation of Eastern box turtle (Terrapene carolina carolina) detectability in visual search surveys","docAbstract":"Understanding how detection probability varies over time, space, or in response to measurable covariates is important to inform the monitoring and assessment of many species. A standard model to understand detectability, the availability/perception model, admits that detection probability is the composite of two components: availability and ability of surveyors to detect the target. Availability is largely affected by environmental and behavioral factors, whereas perception is primarily affected by attributes of individual observers and survey protocols, and thus can potentially be partially controlled by survey design. We designed and implemented a field study to understand the perception component of detection for Eastern Box Turtles (Terrapene carolina carolina) using visual encounter surveys. We obtained and deployed museum specimens of Eastern Box Turtle shells and subjected them to visual search surveys by observers in realistic field situations. Overall, about 50% of the box turtle shells were detected by observers, including 41.5% in what we categorized as partially visible and 63.0% as fully visible. There were significant differences among observers, which may be due to observer-specific variation in search technique; the observers varied in how well they achieved the protocol guidance. Therefore, in visual search surveys, care in study design and analysis should be taken to account for variation in perception to determine detectability, as our study suggests 37% of perceptible targets are missed by surveyors.
","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Heinle, W., Beswick, N., Wapman, E., and Royle, A., 2025, Experimental evaluation of Eastern box turtle (Terrapene carolina carolina) detectability in visual search surveys: Herpetological Conservation and Biology, v. 20, no. 1, p. 82-93.","productDescription":"12 p.","startPage":"82","endPage":"93","ipdsId":"IP-160033","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":492011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":491993,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol20_issue1.html"}],"country":"United States","state":"Maryland","otherGeospatial":"Patuxent Research Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.809722,\n 39.050556\n ],\n [\n -76.809722,\n 39.047222\n ],\n [\n -76.805556,\n 39.047222\n ],\n [\n -76.805556,\n 39.050556\n ],\n [\n -76.809722,\n 39.050556\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Heinle, William","contributorId":357763,"corporation":false,"usgs":false,"family":"Heinle","given":"William","affiliations":[{"id":85554,"text":"Dept. of Biology, Univ. Richmond","active":true,"usgs":false}],"preferred":false,"id":942537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beswick, Noelle","contributorId":357764,"corporation":false,"usgs":false,"family":"Beswick","given":"Noelle","affiliations":[{"id":85555,"text":"Dept. of Biology, University of Richmond","active":true,"usgs":false}],"preferred":false,"id":942538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wapman, Emily","contributorId":357765,"corporation":false,"usgs":false,"family":"Wapman","given":"Emily","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":942539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":942540,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267841,"text":"70267841 - 2025 - Coastal fine-grained sediment plumes from beach nourishment near Santa Barbara, California","interactions":[],"lastModifiedDate":"2025-08-18T15:08:09.593383","indexId":"70267841","displayToPublicDate":"2025-04-30T09:07:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21808,"text":"Coastal Engineering Journal","active":true,"publicationSubtype":{"id":10}},"title":"Coastal fine-grained sediment plumes from beach nourishment near Santa Barbara, California","docAbstract":"Terrestrial sediments captured by flood control facilities such as dams, debris basins, and engineered stream channels can reduce sediment fluxes to littoral cells. The beneficial use of these sediments for beach nourishment may induce negative environmental effects from turbidity or sedimentation caused by the source material. Here, we examine the size and extent of turbid coastal plumes produced by beach nourishment with sediment containing significant fine-grained (silt and clay) fractions near Santa Barbara, California, to evaluate the potential effects of beneficial use of fluvial sediment captured in upstream facilities. Using remotely sensed imagery and hydrodynamic and sediment transport model simulations, we find that wave height, wind speed and direction, and sediment settling velocity have strong controls on the direction and extent of the turbid plume produced by beach nourishment. These results are consistent with monitored nourishment projects, suggesting generalizable patterns and processes across the studies. Additionally, we find that sediment placement method (hauling versus dredging) can influence the magnitude and duration of fine-sediment concentrations in the adjacent coastal waters. Combined, these results will inform sediment management strategies that intend to minimize the environmental effects of beach nourishment within the study area and across similar coastal sites.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/21664250.2025.2497705","usgsCitation":"Warrick, J.A., Stevens, A.W., and Tehranirad, B., 2025, Coastal fine-grained sediment plumes from beach nourishment near Santa Barbara, California: Coastal Engineering Journal, v. 67, no. 3, p. 558-582, https://doi.org/10.1080/21664250.2025.2497705.","productDescription":"25 p.","startPage":"558","endPage":"582","ipdsId":"IP-172366","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":489545,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":490617,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/21664250.2025.2497705","text":"Publisher Index Page"}],"country":"United States","state":"California","city":"Santa Barbara","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.84691794723162,\n 34.42243236962841\n ],\n [\n -119.84691794723162,\n 34.399358663431116\n ],\n [\n -119.7692183271959,\n 34.399358663431116\n ],\n [\n -119.7692183271959,\n 34.42243236962841\n ],\n [\n -119.84691794723162,\n 34.42243236962841\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"67","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":939109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":939110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tehranirad, Babak 0000-0002-1634-9165","orcid":"https://orcid.org/0000-0002-1634-9165","contributorId":299107,"corporation":false,"usgs":false,"family":"Tehranirad","given":"Babak","affiliations":[{"id":64774,"text":"contracted to USGS PCMSC","active":true,"usgs":false}],"preferred":false,"id":939111,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70270593,"text":"70270593 - 2025 - Two-stage models improve machine learning classifiers in wildlife research: A case study in identifying false positive detections of Ruffed Grouse","interactions":[],"lastModifiedDate":"2025-08-21T14:57:31.436416","indexId":"70270593","displayToPublicDate":"2025-04-30T07:46:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Two-stage models improve machine learning classifiers in wildlife research: A case study in identifying false positive detections of Ruffed Grouse","docAbstract":"Autonomous recording units are increasingly being used to monitor wildlife on large geographic and temporal scales, paired with machine learning (ML) to automate detection of wildlife. However, false positive detections from ML classifiers can result in erroneous ecological models that can lead to misguided management and conservation actions. We used a two-stage general approach to understand and reduce false positive detections, a technique in which outputs of the primary classification model are passed to a secondary classification model to yield the probability that a detection from the primary model is a true positive detection. This approach is demonstrated on two open-source models that detect Ruffed Grouse (Bonasa umbellus). We analyzed over 9500 h of acoustic data collected in 2022–2023 from the Green Mountain National Forest in Vermont, USA, and found the two models detected different types of acoustic signals associated with differing life history traits. The first model yielded 4106 detections (71.5 % true positives) while the second model yielded 524 detections (17.0 % true positives). Secondary logistic regression models separated true positives and false positives with high accuracy (84.5 % and 89.8 % respectively). Our findings go beyond improving Ruffed Grouse monitoring and conservation efforts to, more broadly, illustrate how two-stage ML approaches can improve the use of model-derived detections in wildlife research.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoinf.2025.103166","usgsCitation":"Clarfeld, L.A., Gieder, K.D., Abrams, R., Bernier, C., Cahill, J., Staats, S., Wixsom, S., and Donovan, T.M., 2025, Two-stage models improve machine learning classifiers in wildlife research: A case study in identifying false positive detections of Ruffed Grouse: Ecological Informatics, v. 89, 103166, 14 p., https://doi.org/10.1016/j.ecoinf.2025.103166.","productDescription":"103166, 14 p.","ipdsId":"IP-172423","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":494459,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoinf.2025.103166","text":"Publisher Index Page"},{"id":494382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Green Mountain National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.16516605268014,\n 43.209373047171994\n ],\n [\n -73.16516605268014,\n 42.88542467752458\n ],\n [\n -72.86267666610819,\n 42.88542467752458\n ],\n [\n -72.86267666610819,\n 43.209373047171994\n ],\n [\n -73.16516605268014,\n 43.209373047171994\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clarfeld, Laurence A.","contributorId":359990,"corporation":false,"usgs":false,"family":"Clarfeld","given":"Laurence","middleInitial":"A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":946634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gieder, Katherina D.","contributorId":359991,"corporation":false,"usgs":false,"family":"Gieder","given":"Katherina","middleInitial":"D.","affiliations":[{"id":39587,"text":"Vermont Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":946635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abrams, Robert","contributorId":359992,"corporation":false,"usgs":false,"family":"Abrams","given":"Robert","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":946636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernier, Christopher","contributorId":359993,"corporation":false,"usgs":false,"family":"Bernier","given":"Christopher","affiliations":[{"id":39587,"text":"Vermont Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":946637,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cahill, Joseph","contributorId":359994,"corporation":false,"usgs":false,"family":"Cahill","given":"Joseph","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":946638,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Staats, Susan","contributorId":359995,"corporation":false,"usgs":false,"family":"Staats","given":"Susan","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":946639,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wixsom, Scott","contributorId":359996,"corporation":false,"usgs":false,"family":"Wixsom","given":"Scott","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":946640,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":946641,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70266126,"text":"70266126 - 2025 - Oligocene–Miocene development and evolution of the south Dome Rock Mountains basin, lower Colorado River corridor, Arizona, USA","interactions":[],"lastModifiedDate":"2025-05-28T15:00:42.424731","indexId":"70266126","displayToPublicDate":"2025-04-29T10:10:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Oligocene–Miocene development and evolution of the south Dome Rock Mountains basin, lower Colorado River corridor, Arizona, USA","docAbstract":"Sedimentary basins in the Colorado River extensional corridor record large-magnitude Basin and Range extension and younger dextral shear deformation in the evolving Pacific−North America plate boundary. The south Dome Rock Mountains basin is located in west-central Arizona (USA), where the history of basin evolution, style of deformation, and timing of the transition between extension and dextral shear are not well constrained. We integrate new geologic mapping of the south Dome Rock Mountains basin with zircon U-Pb geochronology of six marker beds to characterize the timing of basin evolution and the slip history of the south Dome Rock Mountains normal fault. Structural analysis defines structures consistent with regional extension and younger dextral shear deformation. We use sedimentological and petrological analysis to interpret the depositional environments of three basin sequences. A lower basin sequence consists of fluvial strata deposited in an internally drained intermontane basin from ca. 35 Ma to 24.4 Ma. A sequence of volcanic rocks was emplaced in the basin between 24.4 Ma and 23.3 Ma, before the onset of local extensional faulting. An upper basin sequence of coarse conglomerate and sedimentary breccia was deposited on the hanging wall of a half graben structure after 23.3 Ma and through ca. 12.8 Ma, synchronous with 3−7 km of dip slip on the west-dipping, listric south Dome Rock Mountains fault. The basin was subsequently deformed by dextral shear after 12.8 Ma and before 4.8 Ma. These results document how distributed deformation related to the evolving Pacific−North America plate boundary occurred >100 km from the primary plate boundary.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02754.1","usgsCitation":"Brickey, T., Umhoefer, P.J., Bennett, S.E., Regalla, C., Riggs, N.R., and Mavor, S.P., 2025, Oligocene–Miocene development and evolution of the south Dome Rock Mountains basin, lower Colorado River corridor, Arizona, USA: Geosphere, v. 21, no. 3, p. 352-389, https://doi.org/10.1130/GES02754.1.","productDescription":"38 p.","startPage":"352","endPage":"389","ipdsId":"IP-160185","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":488521,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02754.1","text":"Publisher Index Page"},{"id":485997,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, California","otherGeospatial":"lower Colorado River corridor","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116,\n 35\n ],\n [\n -116,\n 32.5\n ],\n [\n -113,\n 32.5\n ],\n [\n -113,\n 35\n ],\n [\n -116,\n 35\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Brickey, Timothy A. 0009-0007-8961-5800","orcid":"https://orcid.org/0009-0007-8961-5800","contributorId":353900,"corporation":false,"usgs":false,"family":"Brickey","given":"Timothy A.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":934688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Umhoefer, Paul J.","contributorId":200335,"corporation":false,"usgs":false,"family":"Umhoefer","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":934689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":934690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regalla, Christine 0000-0003-2975-8336","orcid":"https://orcid.org/0000-0003-2975-8336","contributorId":254361,"corporation":false,"usgs":false,"family":"Regalla","given":"Christine","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":934691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riggs, Nancy R.","contributorId":243564,"corporation":false,"usgs":false,"family":"Riggs","given":"Nancy","email":"","middleInitial":"R.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":934692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mavor, Skyler Pendleton 0000-0002-3174-8148","orcid":"https://orcid.org/0000-0002-3174-8148","contributorId":297148,"corporation":false,"usgs":true,"family":"Mavor","given":"Skyler","email":"","middleInitial":"Pendleton","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":934693,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70266480,"text":"70266480 - 2025 - Exposure to ultraviolet radiation induces escape hatching of Cisco (Coregonus artedi) embryos","interactions":[],"lastModifiedDate":"2025-05-08T14:59:37.345953","indexId":"70266480","displayToPublicDate":"2025-04-29T09:42:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Exposure to ultraviolet radiation induces escape hatching of Cisco (Coregonus artedi) embryos","title":"Exposure to ultraviolet radiation induces escape hatching of Cisco (Coregonus artedi) embryos","docAbstract":"Human expansion is a major driver of both declining wildlife abundance and the contraction of species’ distributions, increasing the risk of genetic erosion and the need for genetic monitoring. Rapidly advancing technology has expanded the types of genetic data that are available for wildlife conservation. However, inferences from different genetic markers could result in different management decisions and, thus, must be considered carefully. Rebounding from near extinction in the early 1900s, the majority of North American plains bison (Bison bison bison) are managed as small and isolated herds. Microsatellite-based analyses have been used to inform management of the US Federal bison conservation herds since the early 2000s. Transitioning from monitoring with tens of multiallelic loci (e.g., microsatellite loci) to thousands of biallelic loci (e.g., single nucleotide polymorphisms [SNPs]) could increase genotyping efficiency and improve the precision of population genetic inference but would require an understanding of the inferential differences between genetic marker types. We compared microsatellite-based measures of genetic diversity, differentiation, and population structure for 20 bison conservation herds (17 Federal, 1 Tribal, 2 Canadian) to inference from SNP-based analyses for the Tribal herd and 15 of the Federal herds. Data from both genetic marker types found that all herds have remarkably high genetic diversity given the severity of the bottleneck from which these populations recovered, and that population structure was consistent with founding histories. Importantly, SNPs had greater power to describe differences in genetic diversity and groups of related herds, but only if analyses are based on 250 or more loci. Overall, we found that microsatellite and SNP data can provide comparable conservation insight, but SNPs must be carefully selected to ensure continuity in genetic monitoring and to achieve the increased precision in genetic diversity and differentiation among herds that we observed in this study.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-025-01694-2","usgsCitation":"Zimmerman, S.J., Giglio, R.M., Geremia, C., Jones, L.C., McCann, B., Smyser, T., Moynahan, B., and Oyler-McCance, S.J., 2025, Assessing shifting technology in genetic monitoring of the North American plains bison Federal conservation herds: Conservation Genetics, v. 26, p. 657-675, https://doi.org/10.1007/s10592-025-01694-2.","productDescription":"19 p.","startPage":"657","endPage":"675","ipdsId":"IP-173854","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":493794,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-025-01694-2","text":"Publisher Index Page"},{"id":493702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -146.74982924220123,\n 62.319889623215204\n ],\n [\n -146.74982924220123,\n 60.050354825822524\n ],\n [\n -141.15732876701173,\n 60.050354825822524\n ],\n [\n -141.15732876701173,\n 62.319889623215204\n ],\n [\n -146.74982924220123,\n 62.319889623215204\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.93203198873124,\n 41.19789082705029\n ],\n [\n -93.82025773762055,\n 43.447825451740954\n ],\n [\n -96.53923057809567,\n 43.48568465261209\n ],\n [\n -97.51261309387726,\n 49.01137962251394\n ],\n [\n -102.70844049359903,\n 49.077826013780054\n ],\n [\n -104.14200709086836,\n 50.33750955968034\n ],\n [\n -110.37081769862942,\n 50.868615510500746\n ],\n [\n -112.04515283367434,\n 55.5934880978719\n ],\n [\n -117.30381962124295,\n 55.54671257826419\n ],\n [\n -115.8522945282119,\n 47.82016072075669\n ],\n [\n -113.40856360416473,\n 35.02771626023211\n ],\n [\n -95.01110871200419,\n 33.855695645018855\n ],\n [\n -94.67708565107958,\n 39.244443215981875\n ],\n [\n -95.50121702733813,\n 40.447141721228434\n ],\n [\n -91.93203198873124,\n 41.19789082705029\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2025-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmerman, Shawna J 0000-0003-3394-6102 szimmerman@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-6102","contributorId":238076,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Shawna","email":"szimmerman@usgs.gov","middleInitial":"J","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":945012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giglio, Rachael Marie 0000-0003-4183-3546","orcid":"https://orcid.org/0000-0003-4183-3546","contributorId":359173,"corporation":false,"usgs":false,"family":"Giglio","given":"Rachael","middleInitial":"Marie","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":945013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geremia, Chris","contributorId":167003,"corporation":false,"usgs":false,"family":"Geremia","given":"Chris","email":"","affiliations":[],"preferred":false,"id":945014,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Lee C.","contributorId":149998,"corporation":false,"usgs":false,"family":"Jones","given":"Lee","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":945015,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCann, Blake","contributorId":347580,"corporation":false,"usgs":false,"family":"McCann","given":"Blake","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":945016,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smyser, Timothy J 0000-0003-4542-3077","orcid":"https://orcid.org/0000-0003-4542-3077","contributorId":359176,"corporation":false,"usgs":false,"family":"Smyser","given":"Timothy J","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":945017,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moynahan, Brendan J","contributorId":347582,"corporation":false,"usgs":false,"family":"Moynahan","given":"Brendan J","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":945018,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":945019,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70266220,"text":"70266220 - 2025 - The tortoise and the antilocaprid: Adapting GPS tracking and terrain data to model wildlife walking functions","interactions":[],"lastModifiedDate":"2025-04-30T16:05:14.416417","indexId":"70266220","displayToPublicDate":"2025-04-29T08:53:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The tortoise and the antilocaprid: Adapting GPS tracking and terrain data to model wildlife walking functions","docAbstract":"Context
The relationship between slope and terrestrial animal locomotion is key to landscape ecology but underexplored across species. This is partly due to a lack of scalable methodology that applies to a diversity of wildlife.
Objectives
This study investigates the slope-speed relationship for two species, Texas tortoise (Gopherus berlandieri) and pronghorn (Antilocapra americana), through the combined application of remote sensing, GPS tracking, behavior models, and parametric distribution. While using readily available Digital Elevation Models (DEM) for pronghorn, we explore the use of very high-resolution lidar Digital Terrain Models (DTM) from Unoccupied Aerial Systems (UAS) to characterize tortoise movements at micro-scales.
Methods
After classifying animal behavior with GPS tracking data and Hidden Markov Models (HMMs), we analyzed the relationship between the speed of the animals and the slope of the terrain using a 30-m DEM for pronghorn, and a fine-scale UAS DTM for Texas tortoise, and three nonlinear models: Laplace, Gauss, and Lorentz.
Results
High-resolution DTM, coupled with GPS tracking, accurately models the relationship of speed and slope at a micro-scale, while a DEM is suitable for a larger scale. Laplace models best predicted the speed of both the Texas tortoise and pronghorn. Models showed tortoises, which are not known for rapid and agile movement like the pronghorn, have a broader tolerance for varying slopes at a fine scale.
Conclusions
These findings enhance understanding of species-specific movement offering valuable insights for habitat management and conservation tailored to species’ behaviors and capabilities.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10980-025-02092-2","usgsCitation":"Chambers, S.N., Von Nonn, J.W., Burgess, M.A., Brady, L., Bracewell, J., Guerra, D., and Villarreal, M.L., 2025, The tortoise and the antilocaprid: Adapting GPS tracking and terrain data to model wildlife walking functions: Landscape Ecology, v. 42, 92, 11 p., https://doi.org/10.1007/s10980-025-02092-2.","productDescription":"92, 11 p.","ipdsId":"IP-169903","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":487892,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-025-02092-2","text":"Publisher Index Page"},{"id":485213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Texas, 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A.","contributorId":354033,"corporation":false,"usgs":false,"family":"Guerra","given":"Daniel A.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":934986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":934981,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70266188,"text":"ofr20211030V - 2025 - System characterization report on Resourcesat-2A Advanced Wide Field Sensor","interactions":[{"subject":{"id":70266188,"text":"ofr20211030V - 2025 - System characterization report on Resourcesat-2A Advanced Wide Field Sensor","indexId":"ofr20211030V","publicationYear":"2025","noYear":false,"chapter":"V","displayTitle":"System Characterization Report on Resourcesat-2A Advanced Wide Field Sensor","title":"System characterization report on Resourcesat-2A Advanced Wide Field Sensor"},"predicate":"IS_PART_OF","object":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"id":1}],"isPartOf":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation 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These reports describe the methodology and procedures used for characterization, present technical and operational information about the specific sensing system being evaluated, and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.
Resourcesat-2A was launched in 2016 on the Polar Satellite Launch Vehicle-C36; it is identical to Resourcesat-2, and together, they decrease imaging revisit time from 5 days to 2–3 days, providing data continuity and improved temporal resolution. Resourcesat-2 and -2A carry the AWiFS, Linear Imaging Self Scanning-3, and Linear Imaging Self Scanning-4 medium-resolution imaging sensors, continuing the legacy of the Indian Space Research Organisation’s Indian Remote Sensing-1C/1D/P3 satellite programs. More information about Indian Space Research Organisation satellites and sensors is available through the Joint Agency Commercial Imagery Evaluation Earth Observing Satellites Online Compendium and from the Indian Space Research Organisation at https://www.isro.gov.in/.
The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team assessed the geometric, radiometric, and spatial performance of the Resourcesat-2A AWiFS sensor. Geometric performance is divided into the interior geometric performance of band-to-band registration and the exterior geometric performance of geolocation accuracy. The interior geometric performance had offsets in the range of −1.10 meters (m; −0.020 pixel) to 3.67 m (0.066 pixel) in easting and −5.68 m (−0.101 pixel) to 10.38 m (0.185 pixel) in northing with root mean square error values from 5.60 m (0.100 pixel) to 11.31 m (0.202 pixel) in easting and from 3.00 m (0.054 pixel) to 13.52 m (0.241 pixel) in northing.
The exterior geometric performance had mean offsets of −25.29 m in easting and 16.22 m northing with root mean square error values of 26.07 m in easting and 17.60 m in northing compared to the Landsat 8 Operational Land Imager sensor. The radiometric performance had offsets from −0.002 to 0.029 and slopes from 0.733 to 1.012. Spatial performance was in the range of 1.354 to 1.639 pixels for full width at half maximum with a modulation transfer function at a Nyquist frequency in the range of 0.108 to 0.174.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030V","usgsCitation":"Shrestha, M., Kim, M., Sampath, A., and Clausen, J., 2025, System characterization report on Resourcesat-2A Advanced Wide Field Sensor, chap. V of Ramaseri Chandra, S.N., comp., System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, 18 p., https://doi.org/10.3133/ofr20211030V.","productDescription":"v, 18 p.","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-170096","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":485174,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20211030V/full"},{"id":485170,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/v/coverthb.jpg"},{"id":485171,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/v/ofr20211030v.pdf","text":"Report","size":"2.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1030-V"},{"id":485172,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1030/v/ofr20211030v.XML"},{"id":485173,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1030/v/images/"}],"contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
The overarching issue we address here is how to extract clear and actionable ecological and management insights from real-world field data that often do not satisfy traditional statistical assumptions. Toward this goal, we developed a general 12+6 step adaptive management framework tool. We applied this framework tool to existing biodiversity monitoring data to create a proof-of-concept result that addresses the overarching question of “why might a specific native stream fish taxon be present or absent at specific locations?” Our multi-step framework tool links established steps and steps that are unique to our framework through weight-of evidence (WOE) integration, an approach that combines quantitative results from multiple visualization and statistical procedures. The systematic use of all steps in our framework can provide improved conservation outcomes compared to a single analysis. Advantages accrue from our approach because our framework tool refines the overarching goal into related sub-questions, applies a specific quantitative procedure to each sub-step, combines results from all sub-questions using a WOE integration, identifies testable questions that elucidate ambiguities and gaps revealed through WOE integration, and proposes practical field methods for obtaining this clarifying information through future research and data collections. The process of considering multiple visualizations and analyses as individual pieces of a shared puzzle offers a new way to approach the use of existing data. Our team-based approach transforms the collection and analysis of existing data into a series of field tests that can guide future actions (e.g., data collection-analysis events, restoration initiatives, research). Habitat and impact regressors will vary with taxa and system, but our structured process tool has broad generality for a range of conservation issues in which freshwater systems are threatened by human impacts.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/ffwsc.2025.1520312","usgsCitation":"Rode, O., Mather, M.E., Oliver, D., Nelson, K., Reed, V., Moore, T., and Pratap, S., 2025, A framework tool that applies weight-of-evidence integration to the analysis of existing datasets to guide freshwater conservation: Frontiers in Freshwater Science, v. 3, 1520312, 22 p., https://doi.org/10.3389/ffwsc.2025.1520312.","productDescription":"1520312, 22 p.","ipdsId":"IP-162976","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":497411,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffwsc.2025.1520312","text":"Publisher Index Page"},{"id":497280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -102.02756449525691,\n 39.99175254524536\n ],\n [\n -102.02756449525691,\n 37.01810081729228\n ],\n [\n -94.52122428405349,\n 37.01810081729228\n ],\n [\n -94.52122428405349,\n 39.99175254524536\n ],\n [\n -102.02756449525691,\n 39.99175254524536\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2025-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Rode, Olivia","contributorId":363581,"corporation":false,"usgs":false,"family":"Rode","given":"Olivia","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":951801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":951802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oliver, Devon","contributorId":195899,"corporation":false,"usgs":false,"family":"Oliver","given":"Devon","affiliations":[],"preferred":false,"id":951803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Katherine","contributorId":363584,"corporation":false,"usgs":false,"family":"Nelson","given":"Katherine","affiliations":[{"id":86724,"text":"Department of Geography & Geospatial Sciences","active":true,"usgs":false}],"preferred":false,"id":951804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Victoria","contributorId":363585,"corporation":false,"usgs":false,"family":"Reed","given":"Victoria","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":951805,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moore, Trisha","contributorId":353634,"corporation":false,"usgs":false,"family":"Moore","given":"Trisha","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":951806,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pratap, Suyash","contributorId":363586,"corporation":false,"usgs":false,"family":"Pratap","given":"Suyash","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":951807,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70266216,"text":"70266216 - 2025 - Bridging social and ecological science to create spatially-explicit models of human-caused mortality of carnivores","interactions":[],"lastModifiedDate":"2025-08-04T15:39:56.471945","indexId":"70266216","displayToPublicDate":"2025-04-29T08:08:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":698,"text":"Ambio","active":true,"publicationSubtype":{"id":10}},"title":"Bridging social and ecological science to create spatially-explicit models of human-caused mortality of carnivores","docAbstract":"Research indicates that human-caused mortality (HCM) is a key factor limiting numerous large carnivore populations. However, efforts to represent HCM in spatially explicit models have generally been limited in scope—often relying on proxies, such as road or human density. Yet such efforts fail to distinguish different sources of HCM, which can arise from different antecedent processes. We offer a systems-based conceptual framework for understanding the antecedents of HCMs that is grounded in theory from the social and behavioral sciences. Specifically, we first explain how HCMs are usefully distinguished into four types (e.g., accidental, harvest, illicit, control actions), then discuss how these different types tend to be driven by different sets of psychological and sociopolitical processes. We contend that improvements in understanding the spatial variation in HCMs would rise from more explicit attention to the various antecedent processes that precede each mortality type.","language":"English","publisher":"Springer Nature","doi":"10.1007/s13280-025-02165-1","usgsCitation":"Bruskotter, J.T., Carter, N.H., Berl, R.E., Hinton, J.W., Murphy, J., Elbroch, L.M., and Vucetich, J.A., 2025, Bridging social and ecological science to create spatially-explicit models of human-caused mortality of carnivores: Ambio, v. 54, p. 1479-1490, https://doi.org/10.1007/s13280-025-02165-1.","productDescription":"12 p.","startPage":"1479","endPage":"1490","ipdsId":"IP-170006","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":485205,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":487885,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13280-025-02165-1","text":"Publisher Index Page"}],"volume":"54","noUsgsAuthors":false,"publicationDate":"2025-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Bruskotter, Jeremy T.","contributorId":171472,"corporation":false,"usgs":false,"family":"Bruskotter","given":"Jeremy","email":"","middleInitial":"T.","affiliations":[{"id":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false}],"preferred":false,"id":934964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Neil H.","contributorId":338283,"corporation":false,"usgs":false,"family":"Carter","given":"Neil","email":"","middleInitial":"H.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":934965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berl, Richard Eugene Waggaman 0000-0002-4154-1319","orcid":"https://orcid.org/0000-0002-4154-1319","contributorId":336851,"corporation":false,"usgs":true,"family":"Berl","given":"Richard","email":"","middleInitial":"Eugene Waggaman","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":934966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hinton, Joseph W.","contributorId":179346,"corporation":false,"usgs":false,"family":"Hinton","given":"Joseph","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":934967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murphy, Jazmin","contributorId":354020,"corporation":false,"usgs":false,"family":"Murphy","given":"Jazmin","affiliations":[{"id":84538,"text":"Wolf Conservation Center","active":true,"usgs":false}],"preferred":false,"id":934968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elbroch, L. Mark","contributorId":337813,"corporation":false,"usgs":false,"family":"Elbroch","given":"L.","email":"","middleInitial":"Mark","affiliations":[{"id":81049,"text":"Panthera","active":true,"usgs":false}],"preferred":false,"id":934969,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vucetich, John A.","contributorId":219329,"corporation":false,"usgs":false,"family":"Vucetich","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":39990,"text":"School of Forest Resources and Environmental Science, Michigan Tech, Houghton","active":true,"usgs":false}],"preferred":false,"id":934970,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268437,"text":"70268437 - 2025 - Integrating marine historical ecology into management of Alaska’s Pacific cod fishery for climate readiness","interactions":[],"lastModifiedDate":"2025-06-25T14:47:04.627818","indexId":"70268437","displayToPublicDate":"2025-04-29T07:41:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1936,"text":"ICES Journal of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Integrating marine historical ecology into management of Alaska’s Pacific cod fishery for climate readiness","docAbstract":"The Pacific cod (Gadus macrocephalus) fishery was closed in 2020 after a rapid decline in biomass caused by the marine heat waves of 2014–2019. Pacific cod are exceptionally thermally sensitive and management of this fishery is now challenged by increasingly unpredictable climate conditions. Fisheries monitoring is critical for climate readiness, but short-term monitoring data may be inadequate for recognizing and anticipating change under rapid climate changes. We propose an interdisciplinary, marine historical ecology framework that looks to long-term records (local and traditional knowledge, history, archaeology, and paleoclimatology) to capture a long range of ecological variability and provide historical context for management. In order to connect to contemporary fisheries management, this framework must be built on a common vocabulary and an understanding of the key metrics used in fisheries stock assessments. Here, we propose metrics derived from Pacific cod stock assessment and synthesize information relevant to understanding the effects of past warming periods on cod populations across the Gulf of Alaska and Bering Sea. This case study provides a framework for thinking about how to use these historical records in the context of fisheries management under rapidly changing climate conditions.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/icesjms/fsaf056","usgsCitation":"West, C., McClenachan, L., Barbeaux, S.J., Spies, I.B., Addison, J.A., Anderson, B., Hofman, C.A., Reedy, K., Smith, E., Etnier, M., Helser, T.E., and Finney, B., 2025, Integrating marine historical ecology into management of Alaska’s Pacific cod fishery for climate readiness: ICES Journal of Marine Science, v. 82, no. 4, fsaf056, 17 p., https://doi.org/10.1093/icesjms/fsaf056.","productDescription":"fsaf056, 17 p.","ipdsId":"IP-170032","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":491443,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/icesjms/fsaf056","text":"Publisher Index Page"},{"id":491279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -203.937437508192,\n 54.954559063654074\n ],\n [\n -203.937437508192,\n 50.326282088235786\n ],\n [\n -148.52655859208141,\n 50.326282088235786\n ],\n [\n -148.52655859208141,\n 54.954559063654074\n ],\n [\n -203.937437508192,\n 54.954559063654074\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"82","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"West, Catherine F. 0000-0001-5177-9235","orcid":"https://orcid.org/0000-0001-5177-9235","contributorId":345839,"corporation":false,"usgs":false,"family":"West","given":"Catherine F.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":941291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McClenachan, Loren","contributorId":260606,"corporation":false,"usgs":false,"family":"McClenachan","given":"Loren","email":"","affiliations":[{"id":51887,"text":"Colby College","active":true,"usgs":false}],"preferred":false,"id":941292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbeaux, Steven J.","contributorId":256680,"corporation":false,"usgs":false,"family":"Barbeaux","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":34572,"text":"NOAA, National Marine Fisheries Service, Alaska Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":941293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spies, Ingrid B.","contributorId":256688,"corporation":false,"usgs":false,"family":"Spies","given":"Ingrid","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":941294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":941295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Bruce T. 0000-0001-7006-5967","orcid":"https://orcid.org/0000-0001-7006-5967","contributorId":345835,"corporation":false,"usgs":false,"family":"Anderson","given":"Bruce T.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":941296,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hofman, Courtney A.","contributorId":127441,"corporation":false,"usgs":false,"family":"Hofman","given":"Courtney","email":"","middleInitial":"A.","affiliations":[{"id":6997,"text":"Department of Anthropology, Smithsonian Institution National Museum of Natural History (NMNH)","active":true,"usgs":false}],"preferred":false,"id":941297,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reedy, Katherine L.","contributorId":345838,"corporation":false,"usgs":false,"family":"Reedy","given":"Katherine L.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":941298,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Emma A. Elliott 0000-0002-3221-0737","orcid":"https://orcid.org/0000-0002-3221-0737","contributorId":357366,"corporation":false,"usgs":false,"family":"Smith","given":"Emma A. Elliott","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":941299,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Etnier, Michael A. 0000-0002-6546-7854","orcid":"https://orcid.org/0000-0002-6546-7854","contributorId":357369,"corporation":false,"usgs":false,"family":"Etnier","given":"Michael A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":941300,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Helser, Thomas E.","contributorId":203203,"corporation":false,"usgs":false,"family":"Helser","given":"Thomas","email":"","middleInitial":"E.","affiliations":[{"id":36580,"text":"Alaska Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, Washington","active":true,"usgs":false}],"preferred":false,"id":941301,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Finney, Bruce P.","contributorId":267775,"corporation":false,"usgs":false,"family":"Finney","given":"Bruce P.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":941302,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70270724,"text":"70270724 - 2025 - Comparison of two benthic assemblage sampling gears for use on intertidal oyster reefs in Louisiana","interactions":[],"lastModifiedDate":"2025-09-22T16:05:13.473914","indexId":"70270724","displayToPublicDate":"2025-04-28T11:03:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":860,"text":"Aquatic Biology","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of two benthic assemblage sampling gears for use on intertidal oyster reefs in Louisiana","docAbstract":"Background
Estuarine biodiversity plays a vital role in supporting ecosystem functions yet remains threatened by climate change and anthropogenic activity. Tracking and identifying estuarine biodiversity trends helps management ensure long-term provisions of human and environmental benefits by contributing to the estimation of habitat loss and the monitoring of restoration and conservation progress. However, the sampling gear and biodiversity metric used may indicate different conclusions, which can lead to uncertainty in the actual state of the ecosystem-level biodiversity. Sampling benthic biodiversity in complex estuarine habitats, such as oyster reefs, is particularly challenging because no one gear type captures entire target assemblages, and differences in gear efficiency on these complex habitats make comparisons across gear types challenging.
Methods
We investigated how estimates of oyster reef-associated benthic taxa abundance, richness, Pielou’s evenness, and Shannon-Wiener diversity differed across three Crassostrea virginica reefs in Louisiana between suction sampler and substrate tray sampling gears (n = 6), and how gear influenced comparisons across reefs (3 reefs × 6 replicates × 2 gears).
Results
Abundance and richness were higher, and Pielou’s evenness was lower, in trays compared to suction samples at all reefs. Shannon-Wiener diversity was similar in suction samples and trays at two out of three reefs. Amphipod taxa were numerically dominant in trays, skewing the distribution of abundances and driving the reef assemblage differences between gears. Abundance and Shannon-Wiener diversity were similar across reefs within each gear. However, there were significant differences in richness across reefs in tray samples only, while evenness differed across reefs only in suction samples. Our results highlight that gear choices, along with biodiversity metrics tracked, can result in different conclusions in biodiversity trends, ultimately affecting conservation decisions and management.
","language":"English","publisher":"Peer J","doi":"10.7717/peerj.19346","usgsCitation":"Campanino, F.M., Archer, S.K., Tuptiza, J.C., Glaspie, C.N., and La Peyre, M., 2025, Comparison of two benthic assemblage sampling gears for use on intertidal oyster reefs in Louisiana: Aquatic Biology, v. 13, e19346, 13 p., https://doi.org/10.7717/peerj.19346.","productDescription":"e19346, 13 p.","ipdsId":"IP-159581","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495051,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.19346","text":"Publisher Index Page"},{"id":494566,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.18844430172265,\n 33.05933747886088\n ],\n [\n -93.93839548881195,\n 29.657698500033632\n ],\n [\n -91.47053061521939,\n 28.941858732825423\n ],\n [\n -89.65507085191668,\n 29.110391374618672\n ],\n [\n -89.27077210572385,\n 29.664235014130195\n ],\n [\n -91.45664556469545,\n 31.116558532764905\n ],\n [\n -90.9367332746039,\n 32.812492651944765\n ],\n [\n -94.18844430172265,\n 33.05933747886088\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Campanino, Finella M.","contributorId":360220,"corporation":false,"usgs":false,"family":"Campanino","given":"Finella","middleInitial":"M.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":946900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archer, Stephanie K.","contributorId":360222,"corporation":false,"usgs":false,"family":"Archer","given":"Stephanie","middleInitial":"K.","affiliations":[{"id":12699,"text":"Louisiana Universities Marine Consortium","active":true,"usgs":false}],"preferred":false,"id":946901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tuptiza, Jillian C.","contributorId":360224,"corporation":false,"usgs":false,"family":"Tuptiza","given":"Jillian","middleInitial":"C.","affiliations":[{"id":85986,"text":"Louisiana State University and Agricultural and Mechanical College","active":true,"usgs":false}],"preferred":false,"id":946902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glaspie, Cassandra N.","contributorId":360225,"corporation":false,"usgs":false,"family":"Glaspie","given":"Cassandra","middleInitial":"N.","affiliations":[{"id":85986,"text":"Louisiana State University and Agricultural and Mechanical College","active":true,"usgs":false}],"preferred":false,"id":946903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946904,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70266856,"text":"70266856 - 2025 - Three decades of World Recreational Fishing Conferences: What have we learned about the dynamics of recreational fisheries?","interactions":[],"lastModifiedDate":"2025-07-21T15:30:37.382955","indexId":"70266856","displayToPublicDate":"2025-04-28T09:55:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Three decades of World Recreational Fishing Conferences: What have we learned about the dynamics of recreational fisheries?","docAbstract":"Recreational fishing extends beyond catching fish, connecting individuals with nature, generating environmental stewards and contributing significantly to both local, regional and national economies. Assessing potential impacts on ecosystems and social-ecological systems requires dedicated multi- and interdisciplinary research and integrative management and policy approaches. Managing recreational fisheries effectively also necessitates transdisciplinary thinking, yet this poses continued challenges, as researchers and managers balance specialized expertise with innovative, boundary-crossing perspectives in light of limited funding in a rapidly changing social-ecological environment. The World Recreational Fishing Conference (WRFC) serves as the leading global scientific forum for addressing these challenges, fostering interdisciplinary exchange among scientists, managers, policy makers and stakeholders. The papers in this special issue represent the output of the last WRFC in Melbourne, Australia in 2023. By reviewing the content of the papers published in the present special issue, we illustrate the critical role of collaborative spaces, such as the WRFC, in bridging different expertise and approaches and fostering innovation, thereby securing adaptive management and conservation of recreational fisheries in response to global changes. Evaluating the development of the WRFC over three decades highlights how this conference series represents a leading think tank serving the entire network of recreational fisheries professionals globally.","language":"English","publisher":"Wiley","doi":"10.1111/fme.12815","usgsCitation":"Sbragaglia, V., Arlinghaus, R., Ochwada-Doyle, F., Embke, H.S., Griffin, L., and Hunt, T., 2025, Three decades of World Recreational Fishing Conferences: What have we learned about the dynamics of recreational fisheries?: Fisheries Management and Ecology, v. 32, no. 4, p. 2-10, https://doi.org/10.1111/fme.12815.","productDescription":"9 p.","startPage":"2","endPage":"10","ipdsId":"IP-174479","costCenters":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":485811,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":488175,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fme.12815","text":"Publisher Index Page"}],"volume":"32","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Sbragaglia, Valerio","contributorId":355146,"corporation":false,"usgs":false,"family":"Sbragaglia","given":"Valerio","affiliations":[],"preferred":false,"id":936931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arlinghaus, Robert","contributorId":32425,"corporation":false,"usgs":false,"family":"Arlinghaus","given":"Robert","email":"","affiliations":[{"id":17980,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":936932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ochwada-Doyle, Faith","contributorId":355147,"corporation":false,"usgs":false,"family":"Ochwada-Doyle","given":"Faith","affiliations":[],"preferred":false,"id":936933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":270754,"corporation":false,"usgs":true,"family":"Embke","given":"Holly","email":"","middleInitial":"Susan","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":936934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffin, Lucas P","contributorId":228796,"corporation":false,"usgs":false,"family":"Griffin","given":"Lucas P","affiliations":[{"id":41510,"text":"Department of Environmental Conservation, University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":936935,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunt, Taylor","contributorId":355148,"corporation":false,"usgs":false,"family":"Hunt","given":"Taylor","affiliations":[],"preferred":false,"id":936936,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70266796,"text":"70266796 - 2025 - International gas hydrate research and development","interactions":[],"lastModifiedDate":"2025-05-13T14:46:34.567905","indexId":"70266796","displayToPublicDate":"2025-04-28T09:42:36","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"International gas hydrate research and development","docAbstract":"Gas hydrates are increasingly acknowledged as a potential future natural gas resource, sparking extensive global research into their geological characteristics and the technology needed for production. This paper offers a comprehensive review of gas hydrate-related research initiatives and production testing activities, including those in the Alaska North Slope (USA), Mackenzie Delta (Canada), Gulf of America (USA), South China Sea (PRC), Nankai Trough (Japan), Bay of Bengal (India), and Black Sea (Turkey).
Recent studies have demonstrated successful gas production from hydrates found in sand-rich sediments using existing conventional technologies, particularly depressurization techniques. This review highlights the production trials conducted in Alaska, Canada, China, and Japan, providing insight into gas hydrate production feasibility. In addition, the implications of the completed production trials are reviewed relative to their energy planning considerations. This review also emphasizes research opportunities for technological advancements to effectively utilize the substantial volumes of gas stored in gas hydrates across various global geological settings. This compilation underscores the critical role that gas hydrates could play in meeting future energy demands.
","conferenceTitle":"Offshore Technology Conference","conferenceDate":"May 5-8, 2025","conferenceLocation":"Houston, TX","language":"English","publisher":"OnePetro","doi":"10.4043/35912-MS","usgsCitation":"Collett, T., 2025, International gas hydrate research and development, Offshore Technology Conference, Houston, TX, May 5-8, 2025, 25 p., https://doi.org/10.4043/35912-MS.","productDescription":"25 p.","ipdsId":"IP-174405","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":485808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220812,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":936801,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70266408,"text":"70266408 - 2025 - Increased flood exposure in the Pacific Northwest following earthquake-driven subsidence and sea-level rise","interactions":[],"lastModifiedDate":"2025-05-06T14:24:28.816171","indexId":"70266408","displayToPublicDate":"2025-04-28T09:18:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Increased flood exposure in the Pacific Northwest following earthquake-driven subsidence and sea-level rise","docAbstract":"Climate-driven sea-level rise is increasing the frequency of coastal flooding worldwide, exacerbated locally by factors like land subsidence from groundwater and resource extraction. However, a process rarely considered in future sea-level rise scenarios is sudden (over minutes) land subsidence associated with great (>M8) earthquakes, which can exceed 1 m. Along the Washington, Oregon, and northern California coasts, the next great Cascadia subduction zone earthquake could cause up to 2 m of sudden coastal subsidence, dramatically raising sea level, expanding floodplains, and increasing the flood risk to local communities. Here, we quantify the potential expansion of the 1% floodplain (i.e., the area with an annual flood risk of 1%) under low (~0.5 m), medium (~1 m), and high (~2 m) earthquake-driven subsidence scenarios at 24 Cascadia estuaries. If a great earthquake occurred today, floodplains could expand by 90 km2 (low), 160 km2 (medium), or 300 km2 (high subsidence), more than doubling the flooding exposure of residents, structures, and roads under the high subsidence scenario. By 2100, when climate-driven sea-level rise will compound the hazard, a great earthquake could expand floodplains by 170 km2 (low), 240 km2 (medium), or 370 km2 (high subsidence), more than tripling the flooding exposure of residents, structures, and roads under the high subsidence scenario compared to the 2023 floodplain. Our findings can support decision-makers and coastal communities along the Cascadia subduction zone as they prepare for compound hazards from the earthquake cycle and climate-driven sea-level rise and provide critical insights for tectonically active coastlines globally.
","language":"English","publisher":"National Academy of Sciences of the United States","doi":"10.1073/pnas.2424659122","usgsCitation":"Dura, T., Chilton, W., Small, D., Garner, A., Hawkes, A.D., Melgar, D., Engelhart, S.E., Staisch, L.M., Witter, R., Nelson, A., Kelsey, H., Allan, J., Bruce, D.S., DePaolis, J., Priddy, M., Briggs, R.W., Weiss, R., La Selle, S., Willis, M.J., and Horton, B.P., 2025, Increased flood exposure in the Pacific Northwest following earthquake-driven subsidence and sea-level rise: PNAS, v. 122, no. 18, e2424659122, 9 p., https://doi.org/10.1073/pnas.2424659122.","productDescription":"e2424659122, 9 p.","ipdsId":"IP-176650","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488123,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2424659122","text":"Publisher Index Page"},{"id":485446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -127.97536588577248,\n 47.44031706213207\n ],\n [\n -127.97536588577248,\n 40.23117017976111\n ],\n [\n -121.9496452484936,\n 40.23117017976111\n ],\n [\n -121.9496452484936,\n 47.44031706213207\n ],\n [\n -127.97536588577248,\n 47.44031706213207\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"122","issue":"18","noUsgsAuthors":false,"publicationDate":"2025-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Dura, Tina","contributorId":195530,"corporation":false,"usgs":false,"family":"Dura","given":"Tina","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":935842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chilton, William 0009-0001-9186-4167","orcid":"https://orcid.org/0009-0001-9186-4167","contributorId":354553,"corporation":false,"usgs":false,"family":"Chilton","given":"William","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":935843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Small, David 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Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":935849,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":935850,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nelson, Alan 0000-0001-7117-7098","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":216700,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":935851,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kelsey, Harvey","contributorId":254376,"corporation":false,"usgs":false,"family":"Kelsey","given":"Harvey","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":935852,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Allan, Jonathan","contributorId":46847,"corporation":false,"usgs":false,"family":"Allan","given":"Jonathan","affiliations":[{"id":7198,"text":"Oregon Department Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":935853,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bruce, David S.","contributorId":188228,"corporation":false,"usgs":false,"family":"Bruce","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":935854,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"DePaolis, Jessica","contributorId":334364,"corporation":false,"usgs":false,"family":"DePaolis","given":"Jessica","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":935855,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Priddy, Mike","contributorId":354556,"corporation":false,"usgs":false,"family":"Priddy","given":"Mike","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":935856,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"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":935857,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Weiss, Robert","contributorId":306163,"corporation":false,"usgs":false,"family":"Weiss","given":"Robert","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":935858,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":935859,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Willis, Michael J. 0000-0003-1308-2888","orcid":"https://orcid.org/0000-0003-1308-2888","contributorId":242617,"corporation":false,"usgs":false,"family":"Willis","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":935860,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Horton, Benjamin P.","contributorId":192807,"corporation":false,"usgs":false,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false},{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":935861,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70271909,"text":"70271909 - 2025 - Mapping predicted ecological states at landscape scales using remote sensing data and machine learning","interactions":[],"lastModifiedDate":"2025-09-24T15:44:17.513747","indexId":"70271909","displayToPublicDate":"2025-04-28T08:37:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Mapping predicted ecological states at landscape scales using remote sensing data and machine learning","docAbstract":"Dryland ecosystems, covering 45% of the Earth's land and supporting over one-third of the global population, face significant threats from land degradation and ecological state change. Managing these ecosystems is complex, and science-based frameworks like Ecological Site Descriptions and state-and-transition models are essential tools for guiding decisions to support ecological health while maintaining stakeholder values such as grazing, wildlife, and recreation. However, alignment of these frameworks with smaller scale soil survey maps limits their applicability to broader ecological processes. Here, we extend these frameworks to larger landscapes with a machine learning approach that integrates large-scale, high-resolution vegetation data with identified ecological states from a data-driven state-and-transition model developed for a landscape-scale Ecological Site Group. A “global” model, which used combined inputs from multiple remotely sensed datasets, outperformed individual dataset models based on evaluation with independent data. Ecological state maps generated through this approach broaden the utility of state-and-transition models across Ecological Site Groups, providing a more spatially robust tool for land management at watershed and larger landscape scales. These methods, and the associated ecological state maps, can help meet critical needs for improved land condition assessments that support development of resource management plans and help identify priority areas for restoration and conservation.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70243","usgsCitation":"Kleist, N.J., Domschke, C.T., Knight, A.C., Nauman, T.W., Duniway, M.C., and Carter, S.K., 2025, Mapping predicted ecological states at landscape scales using remote sensing data and machine learning: Ecosphere, v. 16, no. 4, e70243, 16 p., https://doi.org/10.1002/ecs2.70243.","productDescription":"e70243, 16 p.","ipdsId":"IP-157413","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":496158,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70243","text":"Publisher Index Page"},{"id":496018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.0509637142687,\n 42.64630716588371\n ],\n [\n -111.8266792759012,\n 39.96910670756075\n ],\n [\n -114.76249387460862,\n 35.930067724930424\n ],\n [\n -108.04708953433448,\n 35.58278337785393\n ],\n [\n -107.09257565522607,\n 37.663677272255455\n ],\n [\n -107.38346712125988,\n 40.56490356337224\n ],\n [\n -108.74500520215983,\n 41.22226787777939\n ],\n [\n -111.0509637142687,\n 42.64630716588371\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Kleist, Nathan J. 0000-0002-2468-4318","orcid":"https://orcid.org/0000-0002-2468-4318","contributorId":260598,"corporation":false,"usgs":true,"family":"Kleist","given":"Nathan","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":949335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Domschke, Christopher T.","contributorId":361734,"corporation":false,"usgs":false,"family":"Domschke","given":"Christopher","middleInitial":"T.","affiliations":[{"id":86338,"text":"Bureau of Land Management, Colorado State Office, 2850 Youngfield St., Lakewood, CO 80215","active":true,"usgs":false}],"preferred":false,"id":949336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Anna C. 0000-0002-9455-2855","orcid":"https://orcid.org/0000-0002-9455-2855","contributorId":255113,"corporation":false,"usgs":true,"family":"Knight","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nauman, Travis W.","contributorId":360619,"corporation":false,"usgs":false,"family":"Nauman","given":"Travis","middleInitial":"W.","affiliations":[{"id":86060,"text":"USDA Natural Resources Conservation Service, Soil and Plant Science Division, Moab, UT, USA","active":true,"usgs":false}],"preferred":false,"id":949338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":219284,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949339,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":949340,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70266300,"text":"70266300 - 2025 - Slow rupture, long rise times, and multi-fault geometry: The 2020 M6.4 southwestern Puerto Rico mainshock","interactions":[],"lastModifiedDate":"2025-05-02T15:13:47.284869","indexId":"70266300","displayToPublicDate":"2025-04-28T08:08:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Slow rupture, long rise times, and multi-fault geometry: The 2020 M6.4 southwestern Puerto Rico mainshock","docAbstract":"The M6.4 mainshock of the southwestern Puerto Rico seismic sequence on 7 January 2020, was one of the most impactful modern earthquakes in the northeastern Caribbean. Due to its offshore location and complex aftershock distribution, its source kinematics remain poorly constrained. This active sequence illuminated a complex set of previously unrecognized structures that indicate multiple causative faults may have slipped during its rupture. Here, we utilize seismic and geodetic observations to enhance model resolution, estimate the finite slip of the mainshock, and test a multi-segment, geologically realistic fault geometry. Our refined model finds a lower rupture velocity and longer rise times than typical for an event of this magnitude. This indicates a slow-evolving rupture process that resembles characteristics of a tsunami earthquake. Although this normal/strike-slip faulting event was not tsunamigenic, these qualities, if pervasive for this region, have important implications for future seismic monitoring and hazards in southwestern Puerto Rico.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL109740","usgsCitation":"Solares-Colón, M., Goldberg, D.E., Melgar, D., Vanacore, E.A., Sahakian, V., Yeck, W.L., Hernández, F., and Lopez-Venegas, A., 2025, Slow rupture, long rise times, and multi-fault geometry: The 2020 M6.4 southwestern Puerto Rico mainshock: Geophysical Research Letters, v. 52, no. 8, e2024GL109740, 12 p., https://doi.org/10.1029/2024GL109740.","productDescription":"e2024GL109740, 12 p.","ipdsId":"IP-170544","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":487926,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl109740","text":"Publisher Index Page"},{"id":485330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.39442494689831,\n 18.578883979264447\n ],\n [\n -67.39442494689831,\n 17.849447857579676\n ],\n [\n -65.47820852132409,\n 17.849447857579676\n ],\n [\n -65.47820852132409,\n 18.578883979264447\n ],\n [\n -67.39442494689831,\n 18.578883979264447\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Solares-Colón, Margarita M. 0000-0002-9387-7551","orcid":"https://orcid.org/0000-0002-9387-7551","contributorId":353919,"corporation":false,"usgs":false,"family":"Solares-Colón","given":"Margarita M.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":935442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldberg, Dara Elyse 0000-0002-0923-3180","orcid":"https://orcid.org/0000-0002-0923-3180","contributorId":289891,"corporation":false,"usgs":true,"family":"Goldberg","given":"Dara","email":"","middleInitial":"Elyse","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":935443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Melgar, Diego","contributorId":341315,"corporation":false,"usgs":false,"family":"Melgar","given":"Diego","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":935444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanacore, Elizabeth A.","contributorId":316311,"corporation":false,"usgs":false,"family":"Vanacore","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":62735,"text":"University of Puerto Rico Mayagüez","active":true,"usgs":false}],"preferred":false,"id":935445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sahakian, Valerie J.","contributorId":208097,"corporation":false,"usgs":false,"family":"Sahakian","given":"Valerie J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":935446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":935447,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hernández, Francisco","contributorId":353921,"corporation":false,"usgs":false,"family":"Hernández","given":"Francisco","affiliations":[{"id":62735,"text":"University of Puerto Rico Mayagüez","active":true,"usgs":false}],"preferred":false,"id":935448,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lopez-Venegas, Alberto 0000-0002-3413-0546","orcid":"https://orcid.org/0000-0002-3413-0546","contributorId":350939,"corporation":false,"usgs":false,"family":"Lopez-Venegas","given":"Alberto","affiliations":[{"id":34129,"text":"University of Puerto Rico Mayaguez","active":true,"usgs":false}],"preferred":false,"id":935449,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70269031,"text":"70269031 - 2025 - Advancing broadscale spatial evapotranspiration modelling by incorporating sun-induced chlorophyll fluorescence measurements","interactions":[],"lastModifiedDate":"2025-07-14T14:48:30.146948","indexId":"70269031","displayToPublicDate":"2025-04-28T07:43:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Advancing broadscale spatial evapotranspiration modelling by incorporating sun-induced chlorophyll fluorescence measurements","docAbstract":"Evapotranspiration (ET) describes the sum of water transfer from the ground surface through soil evaporation and water loss from leaf stomata into the atmosphere − critical factors linking the global water and carbon cycles. Myriad ET models based on remote sensing data provide spatially continuous estimates of ET; however, leaf photosynthetic information is critical to ensure accurate ET estimates, which are difficult to measure from space. Remotely sensed sun-induced chlorophyll fluorescence (SIF) provides a proxy of stomatal conductance activity with high performance in predicting plant transpiration, which can account for a large proportion of terrestrial and riverine ET. This study aims to improve estimates of tree water use in semi-arid to arid environments. In this study, a fixed stomatal conductance model and three SIF-driven canopy conductance (gsc) models were applied to model potential ET (PET). The models estimated PET using the Penman-Monteith equation with: (1) a constant leaf stomatal conductance; (2) a transpiration-driven gsc model; (3) a gsc model based on electron-transfer rate and vapor pressure deficit, and a (4) Ball-Berry stomatal conductance model. A machine learning model was then applied to scale PET to actual ET (AET) using remote sensing and climate data. Accordingly, four AET models were cross-validated with in-situ measured AET at 52 sites, including 21 eddy covariance flux tower sites, and 31 sap-flow measurement sites (semi-arid and plantation area), for various plant functional types in Australia. This study demonstrated that SIF effectively captured seasonal variations of gsc, finding that AET models with SIF-driven gsc models correlated well with in-situ measured AET (R2 = 0.64). Modelled AET with dynamic variations of gsc generated lower prediction error (0.85 mm day−1), while the AET model with fixed stomatal conductance tended to overestimate AET in floodplains and underestimate it in evergreen broadleaf forests, indicating using fixed stomatal conductance results in unstable performance when modelling AET. This study demonstrated that SIF-driven AET models improved broadscale estimation of ET. Our findings provide vital broadscale hydrological data to assist catchment and regional water management, particularly over unmonitored areas at risk of future climate-driven reductions in rainfall.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2025.133404","usgsCitation":"Gao, S., Nagler, P.L., Woodgate, W., Huete, A., and Doody, T.M., 2025, Advancing broadscale spatial evapotranspiration modelling by incorporating sun-induced chlorophyll fluorescence measurements: Journal of Hydrology, v. 660, no. Part B, 133404, 16 p., https://doi.org/10.1016/j.jhydrol.2025.133404.","productDescription":"133404, 16 p.","ipdsId":"IP-172126","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":499843,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2025.133404","text":"Publisher Index Page"},{"id":492203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 123.28690979572599,\n -14.507783026538078\n ],\n [\n 113.28039887008524,\n -21.66065633263682\n ],\n [\n 112.17079996753354,\n -24.994521175001637\n ],\n [\n 115.10354300417447,\n -36.486501164702105\n ],\n [\n 122.24168422144697,\n -35.62034073401294\n ],\n [\n 131.93124828895753,\n -32.58906983701101\n ],\n [\n 141.10544225154464,\n -40.23302031896691\n ],\n [\n 152.81278701443853,\n -40.33448456027517\n ],\n [\n 155.92719705356842,\n -24.451431761649573\n ],\n [\n 144.11359477726128,\n -8.385497835754798\n ],\n [\n 130.88500806969773,\n -10.415819254694402\n ],\n [\n 123.28690979572599,\n -14.507783026538078\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"660","issue":"Part B","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gao, Sicong","contributorId":303040,"corporation":false,"usgs":false,"family":"Gao","given":"Sicong","email":"","affiliations":[{"id":65623,"text":"CSIRO, Land and Water, Waite Campus, Adelaide, South Australia, Australia; University of Canberra, Canberra, Australian Capital Territory, Australia","active":true,"usgs":false}],"preferred":false,"id":942957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":942958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodgate, William","contributorId":357983,"corporation":false,"usgs":false,"family":"Woodgate","given":"William","affiliations":[{"id":85572,"text":"Earth Observation Research Centre, School of the Environment, The University of Queensland, Brisbane, QLD 4072, Australia; CSIRO, Space and Astronomy, Kensington, 6151, WA, Australia","active":true,"usgs":false}],"preferred":false,"id":942959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huete, Alfredo 0000-0003-2809-2376","orcid":"https://orcid.org/0000-0003-2809-2376","contributorId":208294,"corporation":false,"usgs":false,"family":"Huete","given":"Alfredo","email":"","affiliations":[],"preferred":false,"id":942960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doody, Tanya M.","contributorId":138691,"corporation":false,"usgs":false,"family":"Doody","given":"Tanya","email":"","middleInitial":"M.","affiliations":[{"id":12494,"text":"CSIRO Land and Water, Australia","active":true,"usgs":false}],"preferred":false,"id":942961,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268941,"text":"70268941 - 2025 - A psychologically wise intervention to inform relational organizing in the face of climate and ocean change","interactions":[],"lastModifiedDate":"2025-07-11T15:04:56.510852","indexId":"70268941","displayToPublicDate":"2025-04-27T09:56:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21993,"text":"npj Ocean Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"A psychologically wise intervention to inform relational organizing in the face of climate and ocean change","docAbstract":"Widespread climate action is broadly recognized as necessary to reduce climate change impacts on oceans (“ocean change”), but threats to ocean ecosystems are commonly perceived as distant, irrelevant, and unchangeable. Communicating about ocean change, therefore, requires message framing strategies targeting evidence-based psychological precursors to behavior. In a pre-registered case study of coastal visitors in Oregon, United States (n = 2414), we tested the influence of psychologically wise message about ocean change on climate action intentions. We primarily focused on influencing relational organizing: people’s willingness to encourage others to act. A behavior-specific message targeting relational organizing efficacy beliefs significantly but weakly increased intentions for relational organizing regarding ocean change compared to a control. Neither a connectedness to coast (place-based) message nor an ocean acidification (proximate threat-based) message had detectable effects on intentions. Our results suggest that targeting relational organizing efficacy may increase climate action intentions for the protection of coastal ecosystems.
","language":"English","publisher":"Nature","doi":"10.1038/s44183-025-00115-8","usgsCitation":"Waldo, J., Swearingen, T., and Jones, M.S., 2025, A psychologically wise intervention to inform relational organizing in the face of climate and ocean change: npj Ocean Sustainability, v. 4, 17, 10 p., https://doi.org/10.1038/s44183-025-00115-8.","productDescription":"17, 10 p.","ipdsId":"IP-171105","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492474,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s44183-025-00115-8","text":"Publisher Index Page"},{"id":492132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationDate":"2025-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Waldo, Jennifer L.","contributorId":357840,"corporation":false,"usgs":false,"family":"Waldo","given":"Jennifer L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":942681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swearingen, Thomas C.","contributorId":357842,"corporation":false,"usgs":false,"family":"Swearingen","given":"Thomas C.","affiliations":[{"id":85558,"text":"Oregon Department of Fish & Wildlife","active":true,"usgs":false}],"preferred":false,"id":942682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Megan Siobhan 0000-0002-4284-3650","orcid":"https://orcid.org/0000-0002-4284-3650","contributorId":294651,"corporation":false,"usgs":true,"family":"Jones","given":"Megan","email":"","middleInitial":"Siobhan","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":942683,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70266138,"text":"70266138 - 2025 - Machine learning provides reconnaissance-type estimates of carbon dioxide storage resources in oil and gas reservoirs","interactions":[],"lastModifiedDate":"2025-04-29T15:23:06.190421","indexId":"70266138","displayToPublicDate":"2025-04-27T08:15:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16456,"text":"Frontiers in Enviornmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Machine learning provides reconnaissance-type estimates of carbon dioxide storage resources in oil and gas reservoirs","docAbstract":"Oil and gas reservoirs represent suitable containers to sequester carbon dioxide (CO2) in a supercritical state because they are accessible, reservoir properties are known, and they previously contained stored buoyant fluids. However, planners must quantify the relative magnitude of the CO2 storage resource in these reservoirs to formulate a comprehensive strategy for CO2 mitigation. Even reconnaissance-type estimates of CO2 storage resources of known oil and gas reservoirs may require complicated calculations involving 1) estimates of recoverable oil and gas, 2) reservoir properties (depth, temperature, pressure, etc.), and 3) the physical qualities of the retained fluids. We demonstrate the application of machine learning (ML) algorithms to bypass these computations to yield more rapid estimates of CO2 storage resources in reservoirs capable of hosting CO2 in a supercritical state. ML algorithms are computationally efficient because they do not impose the strong assumptions on the data-generating process that standard statistical or engineering procedures require. Further, ML algorithms can capture highly complex, particularly nonlinear, relationships among predictor variables. We demonstrate the application of four different ML algorithms using data from onshore and offshore oil and gas reservoirs in Europe, and show they perform well when predictions are compared to engineering estimates. The proposed methods and models provide an effective and novel way to more rapidly and directly determine the subsurface CO2 storage capacity of oil and gas reservoirs around the world, information that operators, researchers, and policymakers alike require to meet energy transition and decarbonization goals.
","language":"English","publisher":"frontiers","doi":"10.3389/fenvs.2025.1562087","usgsCitation":"Attanasi, E., Freeman, P., and Coburn, T.C., 2025, Machine learning provides reconnaissance-type estimates of carbon dioxide storage resources in oil and gas reservoirs: Frontiers in Enviornmental Science, v. 13, 1562087, 14 p., https://doi.org/10.3389/fenvs.2025.1562087.","productDescription":"1562087, 14 p.","ipdsId":"IP-166626","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":487848,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2025.1562087","text":"Publisher Index Page"},{"id":485138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"western Europe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -13.428924366035233,\n 54.504852491541925\n ],\n [\n -13.428924366035233,\n 41.74320075493446\n ],\n [\n 28.707525813502826,\n 41.74320075493446\n ],\n [\n 28.707525813502826,\n 54.504852491541925\n ],\n [\n -13.428924366035233,\n 54.504852491541925\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Attanasi, Emil 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":1809,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":934732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Philip A. 0000-0002-0863-7431 pfreeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":193093,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","email":"pfreeman@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":934733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coburn, Timothy C.","contributorId":26011,"corporation":false,"usgs":true,"family":"Coburn","given":"Timothy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":934734,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70266322,"text":"70266322 - 2025 - Bølling-Allerød productivity in the subarctic Pacific driven by seasonal upwelling","interactions":[],"lastModifiedDate":"2025-05-02T15:09:54.928503","indexId":"70266322","displayToPublicDate":"2025-04-26T10:03:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Bølling-Allerød productivity in the subarctic Pacific driven by seasonal upwelling","docAbstract":"The Bølling-Allerød deglacial event is marked by high diatom productivity and opal deposition throughout the subarctic Pacific. This opal could either constitute a strengthened biological pump and thus carbon sequestration, or a weakened biological pump and release of marine-sequestered CO2 to the atmosphere. We quantify silicic acid supply at IODP Site U1340 in the Bering Sea using biogenic opal and δ30Si of Coscinodiscus, a diatom genus. These records, along with diatom environmental indicators, suggest the Bølling-Allerød had high silicic acid availability related to a shift from stratification to seasonal upwelling dynamics. We thus propose the primary cause of the high productivity event was increased macronutrient supply from vertical exchange that injected old, nutrient-rich, CO2-rich waters into the surface. Enhanced CO2 release from the subarctic Pacific may help explain critical intervals of CO2 rise that occur at the onsets of the Bølling-Allerød and PreBoreal.
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