{"pageNumber":"59","pageRowStart":"1450","pageSize":"25","recordCount":184605,"records":[{"id":70268890,"text":"70268890 - 2025 - Soil-microbial communities respond less than plant communities to synthetic- or bio-herbicides applied to address the exotic grass-fire cycle in rangelands","interactions":[],"lastModifiedDate":"2025-07-10T13:44:52.101126","indexId":"70268890","displayToPublicDate":"2025-06-19T08:37:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Soil-microbial communities respond less than plant communities to synthetic- or bio-herbicides applied to address the exotic grass-fire cycle in rangelands","docAbstract":"

The exotic grass-fire cycle is degrading semiarid rangelands, such as the vast areas of shrub-steppe in North America now invaded by fire-promoting cheatgrass. Chemical- or bio-herbicides are sprayed onto soils to inhibit the invaders, but information on chemical- or bio-herbicide impacts to soil microbial communities is limited. We asked how the soil-microbiome responded to the bioherbicide Pseudomonas fluorescens strain ACK55 in comparison to the separate and combined effects of a conventional pre-emergent chemical herbicide, imazapic, in two cheatgrass-invaded sagebrush-steppe sites. First-year microbial responses were evaluated using targeted sequencing of the 16S and LSU rRNA genes for bacteria+archaea and fungi, respectively, and were related to plant-community responses. A strong cheatgrass reduction with imazapic at one site was accompanied by a small shift in bacteria+archaea (16S) community composition with no effect on microbial alpha diversity, and this shift was small in comparison to natural microbiome variation between sites. ACK55 was not detected in soil a year after application, and it caused only transient and marginally significant reductions in annual grass cover accompanied by small reductions in soil fungi species richness. Full-length sequencing of the ACK55 16S rRNA gene and phylogenetic analyses revealed that ACK55 is more likely P. salmonii than P. fluorescens. Knowledge gaps remain on the duration and consequences of microbial-community shifts with imazapic and why molecular analyses showed ACK55 did not persist in soils. Confusion regarding microbial biopesticides can result where isolation, effectiveness testing, commercial release, and regulation are not guided by molecular taxonomic analyses.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.179831","usgsCitation":"Lazarus, B., Mueller, R., and Germino, M., 2025, Soil-microbial communities respond less than plant communities to synthetic- or bio-herbicides applied to address the exotic grass-fire cycle in rangelands: Science of the Total Environment, v. 991, 179831, 11 p., https://doi.org/10.1016/j.scitotenv.2025.179831.","productDescription":"179831, 11 p.","ipdsId":"IP-171773","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":492005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Snake River Plain","volume":"991","noUsgsAuthors":false,"publicationDate":"2025-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Lazarus, Brynne E 0000-0002-6352-486X","orcid":"https://orcid.org/0000-0002-6352-486X","contributorId":357758,"corporation":false,"usgs":true,"family":"Lazarus","given":"Brynne E","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":942509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, Rebecca","contributorId":357759,"corporation":false,"usgs":false,"family":"Mueller","given":"Rebecca","affiliations":[{"id":85553,"text":"USDA-ARS Western Regional Research Center, Albany, CA","active":true,"usgs":false}],"preferred":false,"id":942510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":218007,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":942511,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70269030,"text":"70269030 - 2025 - Navigating the possibilities and pitfalls of biocrust recovery in a changing climate","interactions":[],"lastModifiedDate":"2025-07-14T13:33:03.584001","indexId":"70269030","displayToPublicDate":"2025-06-19T08:31:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":724,"text":"American Journal of Botany","active":true,"publicationSubtype":{"id":10}},"title":"Navigating the possibilities and pitfalls of biocrust recovery in a changing climate","docAbstract":"

Biological soil crusts are complex communities composed of lichens, mosses, bacteria, and cyanobacteria that create a living skin on the soil surface across drylands worldwide. Although small in size, the vast area that biocrusts cover and the critical functions they provide make them a cornerstone of dryland health and resiliency. In addition to being important, biocrusts are exceptionally vulnerable to certain types of disturbance. Although they can withstand a wide range of temperatures and long periods without precipitation, biocrusts are highly sensitive to land-use change and are vulnerable to physical and compressional disturbance (i.e., trampling, vehicles, cattle, heavy machinery). In the face of these disturbances, a critical, long-standing question of interest to dryland ecologists is: Can biocrusts recover following disturbance without active intervention. If so, how long does it take? Early estimates of biocrust recovery suggested recovery can be incredibly slow (on the order of thousands of years), with more modern studies finding potential for faster recovery, especially with intervention. Multiple lines of evidence agree that recovery is context dependent, differing across climates, soils, and with the types of disturbance and biocrust. Additionally, active restoration of biocrusts is becoming more common as tractable strategies are developed for facilitating the establishment of biocrusts after disturbance. Here, we add to the body of knowledge about biocrust recovery following disturbances by reviewing recovery patterns, their connection to climate change, considerations for recovery in changing climates, and the role of restoration.

","language":"English","publisher":"Botanical Society of AMerica","doi":"10.1002/ajb2.70055","usgsCitation":"Phillips, M.L., Young, K.E., Lauria, C.M., Jech, S., Giraldo-Silva, A., and Reed, S., 2025, Navigating the possibilities and pitfalls of biocrust recovery in a changing climate: American Journal of Botany, v. 112, e70055, 8 p., https://doi.org/10.1002/ajb2.70055.","productDescription":"e70055, 8 p.","ipdsId":"IP-176307","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":492481,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ajb2.70055","text":"Publisher Index Page"},{"id":492193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","noUsgsAuthors":false,"publicationDate":"2025-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Phillips, Michala Lee 0000-0001-7005-8740","orcid":"https://orcid.org/0000-0001-7005-8740","contributorId":245186,"corporation":false,"usgs":true,"family":"Phillips","given":"Michala","email":"","middleInitial":"Lee","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":942951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Kristina E.","contributorId":210572,"corporation":false,"usgs":false,"family":"Young","given":"Kristina","email":"","middleInitial":"E.","affiliations":[{"id":38116,"text":"Department of Biological Sciences, University of Texas at El Paso, El Paso, TX 79902, USA","active":true,"usgs":false}],"preferred":false,"id":942952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lauria, Cara Marie 0000-0001-8914-8041","orcid":"https://orcid.org/0000-0001-8914-8041","contributorId":271066,"corporation":false,"usgs":true,"family":"Lauria","given":"Cara","email":"","middleInitial":"Marie","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":942953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jech, Sierra","contributorId":292726,"corporation":false,"usgs":false,"family":"Jech","given":"Sierra","email":"","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":942954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Giraldo-Silva, Ana","contributorId":357982,"corporation":false,"usgs":false,"family":"Giraldo-Silva","given":"Ana","affiliations":[{"id":85571,"text":"Public University of Navarre","active":true,"usgs":false}],"preferred":false,"id":942955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":207498,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":942956,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268144,"text":"fs20253032 - 2025 - An estimate of undiscovered, technically recoverable oil and gas resources underlying Federal lands of the onshore United States, 2025","interactions":[],"lastModifiedDate":"2025-06-18T17:53:50.118297","indexId":"fs20253032","displayToPublicDate":"2025-06-18T11:50:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3032","displayTitle":"An Estimate of Undiscovered, Technically Recoverable Oil and Gas Resources Underlying Federal Lands of the Onshore United States, 2025","title":"An estimate of undiscovered, technically recoverable oil and gas resources underlying Federal lands of the onshore United States, 2025","docAbstract":"

Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean allocated resources of 29.4 billion barrels of oil, 391.6 trillion cubic feet of gas, and 8.4 billion barrels of natural gas liquids underlying Federal lands of the onshore United States.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253032","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., and the 1995–2025 National and Global Oil and Gas Assessment Project Federal Lands Resource Allocation Team, 2025, An estimate of undiscovered, technically recoverable oil and gas resources underlying Federal lands of the onshore United States, 2025: U.S. Geological Survey Fact Sheet 2025–3032, 6 p., https://doi.org/10.3133/fs20253032.","productDescription":"Report: 5 p.; Data Release","onlineOnly":"N","ipdsId":"IP-177732","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":490929,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253032/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 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Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046

","tableOfContents":"","publishedDate":"2025-06-18","noUsgsAuthors":false,"publicationDate":"2025-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":940328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":255366,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":940329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"the 1995–2025 National and Global Oil and Gas Assessment Project Federal Lands Resource Allocation Team","contributorId":356740,"corporation":true,"usgs":false,"organization":"the 1995–2025 National and Global Oil and Gas Assessment Project Federal Lands Resource Allocation Team","id":940330,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268938,"text":"70268938 - 2025 - Causes of differential migration distance: Test of seven mechanistic hypotheses in an arctic raptor","interactions":[],"lastModifiedDate":"2025-07-11T15:15:54.278729","indexId":"70268938","displayToPublicDate":"2025-06-18T10:13:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":981,"text":"Behavioral Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Causes of differential migration distance: Test of seven mechanistic hypotheses in an arctic raptor","docAbstract":"

Exploring the causes of differential migration, or variation in migration distance, has increased our understanding of the remarkable variation in migratory behavior exhibited by birds more generally. However, considerable uncertainty exists regarding the mechanisms underlying differential migration distance in birds despite it being a common phenomenon. We leveraged migration distances from GPS-tracked rough-legged hawks Buteo lagopus to test predictions deduced from seven hypotheses proposed to explain the underlying cause(s) of differential migration distance. We provide the first empirical evidence in support of a social dominance food maximization hypothesis whereby dominant individuals migrate to higher quality nonbreeding locations with respect to foraging efficiency regardless of migration distance. Within females, larger more dominant individuals migrated intermediate distances while smaller, subordinate individuals migrated both longer and shorter distances. We also found support for the social dominance distance minimization hypothesis because more aggressive females migrated shorter distances, although increased aggression at shorter distances may be a consequence of poor body condition. Within males, we found some support for the fasting endurance and thermal tolerance hypotheses because body size was negatively correlated with migration distance. Body size was also negatively correlated with food availability and winter minimum temperatures within both sexes, providing additional mechanistic support for the fasting endurance and thermal tolerance hypotheses. Overall, our results suggest differential migration distance within rough-legged hawks is caused by a combination of competition for nonbreeding resources and constraints on fasting endurance or thermal tolerance, but is unrelated to competition for breeding opportunities, dietary preferences, or flight efficiency.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/beheco/araf072","usgsCitation":"Paprocki, N., Kidd, J., Warne, R., Macedo, A., and Conway, C.J., 2025, Causes of differential migration distance: Test of seven mechanistic hypotheses in an arctic raptor: Behavioral Ecology, v. 36, no. 4, araf072, https://doi.org/10.1093/beheco/araf072.","productDescription":"araf072","ipdsId":"IP-173781","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Paprocki, Neil","contributorId":354983,"corporation":false,"usgs":false,"family":"Paprocki","given":"Neil","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":942674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kidd, Jeff W","contributorId":243473,"corporation":false,"usgs":false,"family":"Kidd","given":"Jeff W","affiliations":[],"preferred":false,"id":942675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warne, Robin","contributorId":274838,"corporation":false,"usgs":false,"family":"Warne","given":"Robin","email":"","affiliations":[{"id":56665,"text":"Cooperative Wildlife Research Laboratory and School of Biological Sciences, Southern Illinois University, Carbondale, IL USA 62901","active":true,"usgs":false}],"preferred":false,"id":942676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Macedo, Adrian","contributorId":357839,"corporation":false,"usgs":false,"family":"Macedo","given":"Adrian","affiliations":[{"id":85556,"text":"Southern Illinois University Carbondale","active":true,"usgs":false}],"preferred":false,"id":942677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":942678,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268278,"text":"70268278 - 2025 - Discovery of an intact Quaternary paleosol, Georgia Bight, USA","interactions":[],"lastModifiedDate":"2025-06-20T14:16:38.069571","indexId":"70268278","displayToPublicDate":"2025-06-18T09:08:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5841,"text":"Applied Sciences","onlineIssn":"2076-3417","active":true,"publicationSubtype":{"id":10}},"title":"Discovery of an intact Quaternary paleosol, Georgia Bight, USA","docAbstract":"

A previously buried paleosol was found on the continental shelf during a study of sea floor scour, nucleated by large artificial reef structures such as vessel hulks, barges, train cars, military vehicles, etc., called “scour nuclei”. It is a relic paleo-land surface of sapling-sized tree stumps, root systems, and fossil animal bone exhumed by scour processes active adjacent to the artificial reef structure. Over the span of five research cruises to the site in 2022–2024, soil samples were taken using hand excavation, PONAR grab samplers, split spoon, hollow tube auger, and a modified Shelby-style push box. High-definition (HD) video was taken using a Remotely Operated Vehicle (ROV) and diver-held cameras. Radiocarbon dating of wood samples returned ages of 42,015–43,417 calibrated years before present (cal yrBP). Pollen studies, together with the recovered macrobotanical remains, support our interpretation of the site as a freshwater forested wetland whose keystone tree species was Taxodium distichum—bald cypress. The paleosol was identified as an Aquult, a sub-order of Ultisols where water tables are at or near the surface year-round. A deep (0.25 m+) argillic horizon comprised the bulk of the preserved soil. Comparable Ultisols found in Georgia wetlands include Typic Paleaquult (Grady and Bayboro series) soils.

","language":"English","publisher":"MDPI","doi":"10.3390/app15126859","usgsCitation":"Garrison, E., Newton, M., Prueitt, B., Jones, E., and Willard, D., 2025, Discovery of an intact Quaternary paleosol, Georgia Bight, USA: Applied Sciences, v. 15, 6859, 13 p., https://doi.org/10.3390/app15126859.","productDescription":"6859, 13 p.","ipdsId":"IP-177145","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":491444,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/app15126859","text":"Publisher Index Page"},{"id":491020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Georgia Bight","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.6037065174064,\n 32.05700383452627\n ],\n [\n -80.87744613056587,\n 32.073340398276045\n ],\n [\n -81.16853543751718,\n 31.739498148416956\n ],\n [\n -81.50026399128812,\n 31.09261341173041\n ],\n [\n -81.51308221190993,\n 30.689275547735463\n ],\n [\n -81.13422317222164,\n 30.688050731677237\n ],\n [\n -80.6037065174064,\n 32.05700383452627\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Garrison, Ervan G.","contributorId":357067,"corporation":false,"usgs":false,"family":"Garrison","given":"Ervan G.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":940686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newton, Matthew","contributorId":357068,"corporation":false,"usgs":false,"family":"Newton","given":"Matthew","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":940687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prueitt, Benjamin","contributorId":357071,"corporation":false,"usgs":false,"family":"Prueitt","given":"Benjamin","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":940689,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Emily C.","contributorId":357073,"corporation":false,"usgs":false,"family":"Jones","given":"Emily C.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":940690,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":269840,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":true,"id":940693,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70270396,"text":"70270396 - 2025 - Biological implications for contaminants of emerging concern in the Great Lakes–Upper St Lawrence River drainage: An effect-based ecological hazard assessment in fish","interactions":[],"lastModifiedDate":"2025-11-20T16:51:50.588392","indexId":"70270396","displayToPublicDate":"2025-06-18T08:43:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Biological implications for contaminants of emerging concern in the Great Lakes–Upper St Lawrence River drainage: An effect-based ecological hazard assessment in fish","docAbstract":"

Contaminants of emerging concern (CECs) are released widely and continuously into the Great Lakes Basin–Upper St Lawrence River study area, with many detected in surface water at concentrations known to adversely affect fish. We applied a recent ecological hazard assessment methodology to identify the biological significance of a database of 21,441 surface water CEC concentrations compiled from 7,162 surface water samples collected at 1,021 sampling sites in 387 individual waterbodies throughout the Great Lakes Basin. We assessed hazard to fish in 12 effect categories (e.g., mortality, developmental, reproductive) from aqueous exposure to 16 emerging contaminants. Our hazard assessment used pairs of screening values to generate contaminant- and effect-specific ordinal hazard scores. Using this novel methodology, we generated a database of 93,864 hazard scores. We found the highest level of hazard to fish, indicating probable adverse impacts, was broadly distributed and often associated with municipalities. Mortality, reproductive, and developmental effect categories combined accounted for 17.5% of high hazard observations. Low hazard, indicating possible adverse effects, was prevalent for numerous effect categories and occurred throughout the period 1991–2021. For mortality, reproductive, and developmental effect categories, the incidence of elevated hazard (low or high hazard) among assessed water samples was 20.4%, 39.5%, and 20.3%, respectively. On a local scale, effect-based assessment is an efficient and conceptually simple tool for natural resource managers to obtain effect- and site-specific hazard information concerning CEC effects in fish that can be used in project planning and results interpretation for natural resource monitoring, restoration, and protection.

","language":"English","publisher":"Oxford University Press","doi":"10.1093/etojnl/vgaf147","usgsCitation":"Gefell, D.J., Bellamy, A.R., Kiesling, R.L., Elliott, S.M., and Hummel, S.L., 2025, Biological implications for contaminants of emerging concern in the Great Lakes–Upper St Lawrence River drainage: An effect-based ecological hazard assessment in fish: Environmental Toxicology and Chemistry, v. 44, no. 10, p. 3004-3023, https://doi.org/10.1093/etojnl/vgaf147.","productDescription":"20 p.","startPage":"3004","endPage":"3023","ipdsId":"IP-147082","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":494969,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93MA2EU","text":"USGS data release","linkHelpText":"Compilation of contaminant of emerging concern concentrations (1991 - 2021) and associated hazard scores for assessment of potential hazard to fish in the Great Lakes Basin"},{"id":494295,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes–Upper St Lawrence River study area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.12093747053447,\n 50.24282738097176\n ],\n [\n -93.18555897072864,\n 46.549737302479485\n ],\n [\n -89.35016735282879,\n 41.120841480697436\n ],\n [\n -81.2766505886645,\n 40.818536101438454\n ],\n [\n -73.52805108109916,\n 43.298089640713215\n ],\n [\n -68.77067561630659,\n 48.516842742090205\n ],\n [\n -77.03461005100947,\n 47.16888316144038\n ],\n [\n -86.53622259614193,\n 49.82835744099062\n ],\n [\n -90.12093747053447,\n 50.24282738097176\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Gefell, Daniel J.","contributorId":138671,"corporation":false,"usgs":false,"family":"Gefell","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":946302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bellamy, Amber R","contributorId":265773,"corporation":false,"usgs":false,"family":"Bellamy","given":"Amber","email":"","middleInitial":"R","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":946304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946305,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hummel, Stephanie L.","contributorId":359795,"corporation":false,"usgs":false,"family":"Hummel","given":"Stephanie","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":946306,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268250,"text":"70268250 - 2025 - Mixed natal origins present management challenges for a non-native fish established throughout a modified river network","interactions":[],"lastModifiedDate":"2025-07-10T14:56:29.491021","indexId":"70268250","displayToPublicDate":"2025-06-18T08:25:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Mixed natal origins present management challenges for a non-native fish established throughout a modified river network","docAbstract":"

Expansion of non-native brown trout (Salmo trutta) in the Colorado River below Glen Canyon Dam motivated reevaluation of suppression strategies to minimize potential impacts to native fishes in the Grand Canyon, Arizona, USA. Brown trout are one of several non-native fish species of management concern in this river reach, and understanding their natal sources and movement patterns may assist managers in planning suppression strategies. We identified trace elements in brown trout otoliths, which, when coupled with location-specific water chemistry data, identified brown trout natal origins over 19 years. Strontium and manganese concentrations revealed distinct emigration patterns from natal tributary streams and the mainstem Colorado River over two periods. Adult brown trout collected from throughout our study area showed mixed tributary and mainstem natal origins, which persisted during suppression efforts in a known spawning tributary. Unexpectedly, we found evidence of brown trout reproduction in the Colorado River for at least a decade before documentation through field monitoring. Our findings may inform but complicate the development of management strategies for system-wide brown trout suppression.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0267","usgsCitation":"Akland, M., Limburg, K., Healy, B.D., and Pine, W.E., 2025, Mixed natal origins present management challenges for a non-native fish established throughout a modified river network: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-13, https://doi.org/10.1139/cjfas-2024-0267.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-168922","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":490920,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.63077077053144,\n 36.80786020404963\n ],\n [\n -111.65750425155792,\n 36.81141589124036\n ],\n [\n -111.76698028633918,\n 36.68345426369245\n ],\n [\n -111.88230163058687,\n 36.503023995019646\n ],\n [\n -111.84019781092644,\n 36.499299737249814\n ],\n [\n -111.68048884893217,\n 36.68934775789845\n ],\n [\n -111.63077077053144,\n 36.80786020404963\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Akland, Michael K.","contributorId":357023,"corporation":false,"usgs":false,"family":"Akland","given":"Michael K.","affiliations":[{"id":85311,"text":"Department of Environmental and Forest Biology, State University of New York College of Environmental Science and Forestry, Syracuse, New York, USA","active":true,"usgs":false}],"preferred":false,"id":940600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Limburg, Karin E.","contributorId":356369,"corporation":false,"usgs":false,"family":"Limburg","given":"Karin E.","affiliations":[{"id":33387,"text":"SUNY-ESF","active":true,"usgs":false}],"preferred":false,"id":940601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Healy, Brian D. 0000-0002-4402-638X","orcid":"https://orcid.org/0000-0002-4402-638X","contributorId":304257,"corporation":false,"usgs":true,"family":"Healy","given":"Brian","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":940602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pine, William E. III","contributorId":139959,"corporation":false,"usgs":false,"family":"Pine","given":"William","suffix":"III","email":"","middleInitial":"E.","affiliations":[{"id":13332,"text":"Uni. of Florida Department of Wildlife Ecology and Conservation","active":true,"usgs":false}],"preferred":false,"id":940603,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269667,"text":"70269667 - 2025 - Fine-scale spatial risk models to predict avian collisions with power lines","interactions":[],"lastModifiedDate":"2025-08-19T15:31:40.484785","indexId":"70269667","displayToPublicDate":"2025-06-18T08:12:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fine-scale spatial risk models to predict avian collisions with power lines","docAbstract":"

1. Avian fatalities caused by collisions with overhead power lines are an important conservation issue worldwide. Although mitigation strategies can help reduce mortalities, given their considerable cost and the vast scale of power line infrastructure, cost-effective action requires that these efforts be prioritised to areas with the highest potential risk to birds. To date, this risk assessment has usually been guided by potentially biased information on the location of recorded fatalities.

2. Here we use five years of GPS tracking data from endangered Tasmanian wedge-tailed eagles to develop an alternative approach to risk assessment: fine-scale spatial risk models based on behavioural analyses. We built and cross-validated a model that generates spatially explicit predictions of the probability that eagles would cross power lines at hazardous altitudes throughout the entire Tasmanian electricity distribution network.

3. In our model, probability of power line crossings was most strongly associated with the proportion of forest edges, wet forest, open habitat, freshwater sources, and rural residential developments in the area surrounding the power lines. Cross-validation indicated that the model effectively predicted where Tasmanian wedge-tailed eagles cross power lines at low altitude.

4. Model validation suggested our approach was a powerful predictor of the locations of power line collisions involving eagles. The locations of almost all (94%) confirmed eagle fatalities were in the half of the total Tasmanian power line area assigned the higher risk by the model, and 50% of incidents occurred in the 30% of the power line area estimated to be highest risk.

5. Synthesis and applications. Our study illustrates a framework for using bird movement data to provide insights into avian behaviour and the risk they encounter around power line infrastructure. Electricity delivery industries can use these models to identify the electrical infrastructure that poses the highest risk to avian survival and prioritise mitigation efforts, thereby optimizing the benefit of investments to reduce detrimental effects on biodiversity. Our model can direct pre-emptive mitigation across Tasmania’s 20,310 km of distribution infrastructure to meet management targets aiming to reduce the negative effects of power lines on the Tasmanian wedge-tailed eagle.

","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.70076","usgsCitation":"Pay, J.M., Cameron, E.Z., Hawkins, C.E., Johnson, C., Koch, A.J., Wiersma, J., and Katzner, T., 2025, Fine-scale spatial risk models to predict avian collisions with power lines: Journal of Applied Ecology, v. 62, no. 8, p. 1820-1830, https://doi.org/10.1111/1365-2664.70076.","productDescription":"11 p.","startPage":"1820","endPage":"1830","ipdsId":"IP-163294","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":493113,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":493326,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.70076","text":"Publisher Index Page"}],"country":"Australia","otherGeospatial":"Tasmania","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 143.86088831282336,\n -40.405798345451885\n ],\n [\n 143.86088831282336,\n -44.063653865697944\n ],\n [\n 149.28385412411444,\n -44.063653865697944\n ],\n [\n 149.28385412411444,\n -40.405798345451885\n ],\n [\n 143.86088831282336,\n -40.405798345451885\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Pay, James M.","contributorId":245078,"corporation":false,"usgs":false,"family":"Pay","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":944335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cameron, Elissa Z.","contributorId":245084,"corporation":false,"usgs":false,"family":"Cameron","given":"Elissa","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":944336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawkins, Clare E.","contributorId":245079,"corporation":false,"usgs":false,"family":"Hawkins","given":"Clare","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":944337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Christopher","contributorId":334072,"corporation":false,"usgs":false,"family":"Johnson","given":"Christopher","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":944338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koch, Amelia J.","contributorId":245080,"corporation":false,"usgs":false,"family":"Koch","given":"Amelia","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":944339,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wiersma, Jason M.","contributorId":358878,"corporation":false,"usgs":false,"family":"Wiersma","given":"Jason M.","affiliations":[{"id":85698,"text":"Forest Practices Authority, 30 Patrick St, Hobart, TAS, AustraliaForest Practices Authority, 30 Patrick St, Hobart, TAS, Australia","active":true,"usgs":false}],"preferred":false,"id":944340,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":944341,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268377,"text":"70268377 - 2025 - Borehole geophysical time-series logging to monitor passive ISCO treatment of residual chlorinated-ethenes in a confining bed, NAS Pensacola, Florida","interactions":[],"lastModifiedDate":"2025-06-24T14:49:19.213209","indexId":"70268377","displayToPublicDate":"2025-06-18T07:43:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21827,"text":"Hydrology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Borehole geophysical time-series logging to monitor passive ISCO treatment of residual chlorinated-ethenes in a confining bed, NAS Pensacola, Florida","docAbstract":"

In-situ chemical oxidation (ISCO) is a common method to remediate chlorinated ethene contaminants in groundwater. Monitoring the effectiveness of ISCO can be hindered because of insufficient observations to assess oxidant delivery. Advantageously, potassium permanganate, one type of oxidant, provides the opportunity to use its strong electrical signal as a surrogate to track oxidant delivery using time-series borehole geophysical methods, like electromagnetic (EM) induction logging. Here we report a passive ISCO (P-ISCO) experiment, using potassium permanganate cylinders emplaced in boreholes, at a chlorinated ethene contamination site, Naval Air Station Pensacola, Florida. The contaminants are found primarily at the base of a shallow sandy aquifer in contact with an underlying silty-clay confining bed. We used results of the time-series borehole logging collected between 2017 and 2022 in 4 monitoring wells to track oxidant delivery. The EM-induction logs from the monitoring wells showed an increase in EM response primarily along the contact, likely from pooling of the oxidant, during P-ISCO treatment in 2021. Interestingly, concurrent natural gamma-ray (NGR) logging showed a decrease in NGR response at 3 of the 4 wells possibly from the formation of manganese precipitates coating sediments. The coupling of time-series logging and well-chemistry data allowed for an improved assessment of passive ISCO treatment effectiveness.

","language":"English","publisher":"MDPI","doi":"10.3390/hydrology12060155","usgsCitation":"Harte, P., Singletary, M., and Landmeyer, J., 2025, Borehole geophysical time-series logging to monitor passive ISCO treatment of residual chlorinated-ethenes in a confining bed, NAS Pensacola, Florida: Hydrology Journal, v. 12, no. 6, 155, 21 p., https://doi.org/10.3390/hydrology12060155.","productDescription":"155, 21 p.","ipdsId":"IP-172305","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":491498,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/hydrology12060155","text":"Publisher Index Page"},{"id":491184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","city":"Pensacola","otherGeospatial":"NAS Pensacola","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.35238712915951,\n 30.378828812173666\n ],\n [\n -87.35238712915951,\n 30.32983549008638\n ],\n [\n -87.23991634365869,\n 30.32983549008638\n ],\n [\n -87.23991634365869,\n 30.378828812173666\n ],\n [\n -87.35238712915951,\n 30.378828812173666\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Harte, Philip 0000-0002-7718-1204","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":217273,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singletary, Michael A.","contributorId":357307,"corporation":false,"usgs":false,"family":"Singletary","given":"Michael A.","affiliations":[{"id":85401,"text":"U.S. Navy Facilities Command, Southeast","active":true,"usgs":false}],"preferred":false,"id":941146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landmeyer, James E. 0000-0002-5640-3816","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":346430,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James E.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941147,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274278,"text":"70274278 - 2025 - Considerations for using tag-returns to monitor targeted removal of invasive fishes","interactions":[],"lastModifiedDate":"2026-03-24T16:46:08.980961","indexId":"70274278","displayToPublicDate":"2025-06-18T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Considerations for using tag-returns to monitor targeted removal of invasive fishes","docAbstract":"

Objective

Targeted removals are used for management of some invasive fish populations. Tag–return studies are one approach that can be used to assess the efficacy of targeted removals. However, there are many decisions to make when designing a tag–return study. We used simulation modeling to outline general guidelines for consideration when designing efficient tag–return studies to measure annual removal rates of invasive fish, particularly invasive carps.

Methods

We simulated data sets using scenarios with varying numbers of fish tagged per year, removal rates, tag reporting rates, tag retention rates, and study durations. We generated the data sets under a set of “known” parameters with added stochasticity; we then fitted the simulated data sets to a Bayesian tag–return model and measured the precision and accuracy of the model-estimated removal rates.

Results

We found that the model was able to predict removal rates without bias for most of the scenarios. However, we did find patterns in the precision of the predictions that could help to inform tag–return studies. When the proportion of the population removed through harvest was constant, the proportion of the population removed per year and the probability that harvested tags were reported had the largest effect on precision. The number of tags released per year and the study duration also had moderate effects. For scenarios testing the ability of the model to predict removal rates in stochastic populations, the precision of the model was primarily influenced by the number of fish tagged, the underlying nature of the stochasticity, and whether fish were tagged during the year of the prediction.

Conclusions

Based on our simulations, we outline how study objectives, the underlying population variability, and the tolerance range for error can guide decisions regarding the number of fish to tag, how to monitor tag return rates, and how long to conduct a study.

","language":"English","publisher":"American Fisheries Society","doi":"10.1093/najfmt/vqaf049","usgsCitation":"Stanton, J.C., Marcek, B.J., and Brey, M.K., 2025, Considerations for using tag-returns to monitor targeted removal of invasive fishes: North American Journal of Fisheries Management, v. 45, no. 4, p. 669-683, https://doi.org/10.1093/najfmt/vqaf049.","productDescription":"15 p.","startPage":"669","endPage":"683","ipdsId":"IP-164064","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":501964,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13DJCBK","text":"USGS data release","linkHelpText":"Code release for simulated tag-return study for monitoring invasive fish removals"},{"id":501681,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/najfmt/vqaf049","text":"Publisher Index Page"},{"id":501474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcek, Benjamin J.","contributorId":367732,"corporation":false,"usgs":false,"family":"Marcek","given":"Benjamin","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":957556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957557,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268060,"text":"sir20255051 - 2025 - Estimated hydrogeologic, spatial, and temporal distribution of self-supplied domestic groundwater withdrawals for aquifers of the Virginia Coastal Plain","interactions":[],"lastModifiedDate":"2025-08-14T19:36:34.867035","indexId":"sir20255051","displayToPublicDate":"2025-06-17T10:40:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5051","displayTitle":"Estimated Hydrogeologic, Spatial, and Temporal Distribution of Self-Supplied Domestic Groundwater Withdrawals for Aquifers of the Virginia Coastal Plain","title":"Estimated hydrogeologic, spatial, and temporal distribution of self-supplied domestic groundwater withdrawals for aquifers of the Virginia Coastal Plain","docAbstract":"

Water use from private-domestic wells accounts for nearly 40 percent of total groundwater withdrawals in the Virginia Coastal Plain Physiographic Province (henceforth called the Virginia Coastal Plain). However, because self-supplied domestic water use generally falls below the Virginia Department of Environmental Quality (VDEQ) reporting and management threshold of 300,000 gallons per month, quantifying these withdrawals is challenging. This report builds upon the foundation of previous U.S. Geological Survey investigations by providing revised techniques to improve estimates of the aquifer source, spatial distribution, and monthly magnitude of these groundwater withdrawals.

The aquifer sources of private-domestic wells in the Virginia Coastal Plain were estimated by cross-referencing 8,264 well records from the VDEQ and the Virginia Department of Health to a digital model of the Virginia Coastal Plain hydrogeologic framework. This analysis highlights the regional importance of the Yorktown-Eastover, Potomac, and surficial aquifers. Collectively, these three aquifers account for 80 percent of self-supplied domestic groundwater withdrawals.

The population using self-supplied domestic water was estimated using census blocks, well-use ratios, building footprints, and land-use and land-cover data to produce a high-resolution, disaggregated, raster-based dataset. This approach improves upon previous models at the census-block or road-network scale by reducing the low-density spread of the self-supplied domestic population across undeveloped areas and concentrating the population and its corresponding water use in the areas where it is most likely to occur. Results show that an estimated 475,332 people comprise the 2020 self-supplied domestic population of the Virginia Coastal Plain, an increase of 5.7 percent since 2010, and the greatest concentrations of self-supplied domestic population surround large cities. Estimates could be further refined with the addition of current and complete spatial data on public water-system service areas.

The quantity of water used by the self-supplied domestic population was estimated by modifying published state per-capita water-use coefficients with the corresponding monthly variability assessed from Virginia Coastal Plain public water-system withdrawal data. This analysis estimates an average increase of 12 percent from June through August and an average decrease of 8 percent from December through March from the baseline annual average of 80 gallons per day per capita, which generally matches similar studies in the eastern United States.

The application of these revised methodologies for the estimation of private-domestic wells and the self-supplied domestic population improves understanding of domestic groundwater use in the Virginia Coastal Plain across hydrogeologic, spatial, and temporal scales. These revisions help better inform water-resource managers and decision makers and support higher resolution groundwater modeling. Furthermore, these methods are transferrable to other areas where self-supplied domestic water withdrawals are important to the overall water budget.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255051","isbn":"978-1-4113-4609-3","collaboration":"Prepared in cooperation with Virginia Department of Environmental Quality","usgsCitation":"Kearns, M.R., and Pope, J.P., 2025, Estimated hydrogeologic, spatial, and temporal distribution of self-supplied domestic groundwater withdrawals for aquifers of the Virginia Coastal Plain: U.S. Geological Survey Scientific Investigations Report 2025–5051, 45 p., https://doi.org/10.3133/sir20255051.","productDescription":"Report: vii, 45 p.; Data release","numberOfPages":"45","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-168850","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":494146,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118651.htm","linkFileType":{"id":5,"text":"html"}},{"id":490433,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1QJQ2CB","text":"USGS data release","linkHelpText":"Estimated aquifer distribution for private domestic wells; estimated spatial distribution of the self-supplied domestic population for 2020 and 2010; and estimated monthly domestic self-supplied withdrawals of groundwater for the Virginia Coastal Plain"},{"id":490432,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5051/images/"},{"id":490431,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5051/sir20255051.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5051 XML"},{"id":490428,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5051/coverthb.jpg"},{"id":490429,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5051/sir20255051.pdf","text":"Report","size":"13.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5051 PDF"},{"id":490430,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255051/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5051 HTML"}],"country":"United States","state":"Virginia","otherGeospatial":"Virginia Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.32710341724686,\n 36.556784944765795\n ],\n [\n -75.86947557927473,\n 36.55265452745853\n ],\n [\n -75.8900431225546,\n 37.161549677245205\n ],\n [\n -75.32957756818404,\n 38.02121666772172\n ],\n [\n -76.21912381502888,\n 37.907709637048185\n ],\n [\n -76.67160976718064,\n 38.146680392024706\n ],\n [\n -77.04182554621384,\n 38.31631983320398\n ],\n [\n -77.04182554621384,\n 38.40904986490523\n ],\n [\n -77.23721720737078,\n 38.34052172806261\n ],\n [\n -77.30406172302983,\n 38.39293143681613\n ],\n [\n -77.18579834917193,\n 38.64236292442064\n ],\n [\n -77.00583234547452,\n 38.722640223692224\n ],\n [\n -77.03717799709146,\n 38.83873960192227\n ],\n [\n -77.1282913174048,\n 38.95928536652022\n ],\n [\n -77.23580503537455,\n 38.99328476178536\n ],\n [\n -77.29958450463103,\n 39.054158449342225\n ],\n [\n -77.6385260561967,\n 39.00744529354114\n ],\n [\n -77.6421696520891,\n 38.07245238381515\n ],\n [\n -77.5875012530419,\n 36.77147021603372\n ],\n [\n -77.58567879299983,\n 36.54488432804379\n ],\n [\n -76.32710341724686,\n 36.556784944765795\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
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","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2025-06-17","noUsgsAuthors":false,"publicationDate":"2025-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Kearns, Matthew R. 0000-0002-7338-5146","orcid":"https://orcid.org/0000-0002-7338-5146","contributorId":288957,"corporation":false,"usgs":true,"family":"Kearns","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":940077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Jason P. 0000-0003-3199-993X jpope@usgs.gov","orcid":"https://orcid.org/0000-0003-3199-993X","contributorId":2044,"corporation":false,"usgs":true,"family":"Pope","given":"Jason","email":"jpope@usgs.gov","middleInitial":"P.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940078,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70270412,"text":"70270412 - 2025 - Modeling daily ice cover in northern hemisphere lakes with a long short‐term memory neural network","interactions":[],"lastModifiedDate":"2025-08-19T15:16:54.496662","indexId":"70270412","displayToPublicDate":"2025-06-17T10:15:13","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":"Modeling daily ice cover in northern hemisphere lakes with a long short‐term memory neural network","docAbstract":"

Quantifying lake ice loss is crucial for understanding the impact of climate change on lake ecosystems. In this study, we trained a deep learning model (Long-Short Term Memory with Landsat observations, 1984–2012) to simulate Northern Hemisphere lake ice changes at a fine spatial scale (> 0.1 km2) from 1980 to 2022. The model achieved good performance overall during the test period (2013–2022), and the derived ice-on and ice-off matched well with two independent ice phenology data sets. Results reveal a 76.8% increase in intermittently ice-covered lakes from the 1980s to the 2010s, alongside a 10.7-day shorter ice duration and a 3.9 percentage-points reduction in annual mean ice cover fractions. The model can track daily partial ice cover changes, providing a novel contribution to understanding shifts in lake ice cover with climate change. These findings can provide valuable insights for future limnology studies, such as improving estimates of greenhouse gas emissions from lakes.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024gl113544","usgsCitation":"He, X., Andreadis, K.M., Roy, A.H., Langhorst, T., Kumar, A., and Butler, C.S., 2025, Modeling daily ice cover in northern hemisphere lakes with a long short‐term memory neural network: Geophysical Research Letters, v. 52, no. 12, e2024GL113544,10 p., https://doi.org/10.1029/2024gl113544.","productDescription":"e2024GL113544,10 p.","ipdsId":"IP-165442","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":494970,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13ZGUGE","text":"USGS data release","linkHelpText":"A Long Short Term Memory model for predicting daily lake ice cover changes in the Northern Hemisphere"},{"id":494456,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl113544","text":"Publisher Index Page"},{"id":494313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"He, Xinchen","contributorId":316775,"corporation":false,"usgs":false,"family":"He","given":"Xinchen","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":946355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andreadis, Konstantinos M.","contributorId":359867,"corporation":false,"usgs":false,"family":"Andreadis","given":"Konstantinos","middleInitial":"M.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":946356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":946357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langhorst, Theodore","contributorId":292528,"corporation":false,"usgs":false,"family":"Langhorst","given":"Theodore","email":"","affiliations":[{"id":27517,"text":"University of North Carolina - Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":946358,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kumar, Abhishek","contributorId":316778,"corporation":false,"usgs":false,"family":"Kumar","given":"Abhishek","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":946359,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butler, Caitlyn S.","contributorId":359869,"corporation":false,"usgs":false,"family":"Butler","given":"Caitlyn","middleInitial":"S.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":946360,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268839,"text":"70268839 - 2025 - The impact of burial diagenesis on soil-formed minerals in paleosols using stable isotopes of phyllosilicates and carbonate clumped isotopes","interactions":[],"lastModifiedDate":"2025-07-08T17:13:17.514089","indexId":"70268839","displayToPublicDate":"2025-06-17T10:09:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"The impact of burial diagenesis on soil-formed minerals in paleosols using stable isotopes of phyllosilicates and carbonate clumped isotopes","docAbstract":"

To understand the effects of burial diagenesis on the stable isotope geochemistry of soil-formed clay and carbonate minerals in paleosols, samples were collected from seven cores, spanning middle- to upper-Pennsylvanian strata of the Illinois Basin, with varied maximum burial depths of 1–3 km. Mixed-layer illite-smectite and kaolinite mixtures give δ2H and δ18O values of −83 ‰ to −36 ‰ and 11.9 ‰ to 21.1 ‰ (VSMOW), respectively. After carbonates were screened petrographically for diagenetic textures using transmitted light and cathodoluminescence, measured clumped isotope Δ47 values range from 0.504 to 0.563 ‰ (I-CDES). Resulting mineral formation temperatures for phyllosilicate mineral mixtures are 28 to 66 °C (mean = 47 °C), whereas T(Δ47) estimates for calcites are 36 to 61 °C (mean = 45 °C). Calculated δ18Owater values from which phyllosilicate minerals and calcites precipitated under isotopic equilibrium ranges from −7.1 to −1.2 ‰ and − 1.4 to +4.9 ‰, respectively. Closed and open-system phyllosilicate-fluid exchange modeling indicates that phyllosilicate alteration occurred in the presence of a low temperature brine or meteoric water and is interpreted to occur in a layer-by-layer illitization transformation. Due to the lack of diagenetic textures and positively correlated T(Δ47) and δ18Owater, calcites are interpreted to have undergone solid-state bond reordering. Despite low to moderate temperatures (<125 °C) and varying depths of shallow burial (1–3 km), solid-state transformation of phyllosilicates and calcites indicates paleosols had prolonged exposure to burial conditions which has implications for the use of paleosol minerals for paleoenvironmental reconstructions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2025.122941","usgsCitation":"McIntosh, J.A., Tabor, N., and Montañez, I., 2025, The impact of burial diagenesis on soil-formed minerals in paleosols using stable isotopes of phyllosilicates and carbonate clumped isotopes: Chemical Geology, v. 692, 122941, 17 p., https://doi.org/10.1016/j.chemgeo.2025.122941.","productDescription":"122941, 17 p.","ipdsId":"IP-171865","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":492072,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2025.122941","text":"Publisher Index Page"},{"id":491834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Kentucky","otherGeospatial":"Illinois Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.26016848796888,\n 41.70274182675729\n ],\n [\n -90.26016848796888,\n 36.61086981521096\n ],\n [\n -86.39382164848195,\n 36.61086981521096\n ],\n [\n -86.39382164848195,\n 41.70274182675729\n ],\n [\n -90.26016848796888,\n 41.70274182675729\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"692","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McIntosh, Julia A. 0000-0003-2819-8664","orcid":"https://orcid.org/0000-0003-2819-8664","contributorId":331662,"corporation":false,"usgs":true,"family":"McIntosh","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":942314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tabor, Neil J. 0000-0001-8582-9886","orcid":"https://orcid.org/0000-0001-8582-9886","contributorId":357718,"corporation":false,"usgs":false,"family":"Tabor","given":"Neil J.","affiliations":[{"id":20300,"text":"Southern Methodist University","active":true,"usgs":false}],"preferred":false,"id":942315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montañez, Isabel P. 0000-0003-0492-3796","orcid":"https://orcid.org/0000-0003-0492-3796","contributorId":357719,"corporation":false,"usgs":false,"family":"Montañez","given":"Isabel P.","affiliations":[{"id":17619,"text":"University of California at Davis","active":true,"usgs":false}],"preferred":false,"id":942316,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268299,"text":"70268299 - 2025 - Are equilibrium shoreline models just convolutions?","interactions":[],"lastModifiedDate":"2025-06-20T14:52:37.1233","indexId":"70268299","displayToPublicDate":"2025-06-17T09:48:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Are equilibrium shoreline models just convolutions?","docAbstract":"

Yes. Equilibrium shoreline models, which simulate wave-driven cross-shore erosion and accretion, are mathematically equivalent to a discrete convolution (i.e., a weighted, moving average) of a time series of wave-forcing conditions with a parameterized memory-decay kernel function. The direct equivalence between equilibrium shoreline models and convolutions reveals key theoretical aspects of equilibrium behavior. Convolutions (representing quasi-low-pass filter operations) provide an intuitive theoretical description of shoreline erosion and accretion behavior in response to waves: that is, shoreline position often mirrors the weighted moving average of wave time series. Model-convolution equivalence also provides a conceptual basis to interpret, evaluate, and construct data-driven Machine-Learning/Deep-Learning (ML/DL) models that use convolutions to extract features from data and then apply them for prediction (e.g., Convolutional Neural Networks (CNNs)). Finally, our findings provide a methodological pathway (based on Fourier transforms) for future understanding of wave-driven shoreline change, which can be used to interpret the coherence between the frequency spectrum of the processes of waves and shoreline change and construct more computationally efficient and effective shoreline-modeling approaches.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JF008452","usgsCitation":"Vitousek, S., Buscombe, D.D., Gomez-de la Peña, E., Calcraft, K., Lundine, M.A., Splinter, K., Giovanni Coco, and Barnard, P.L., 2025, Are equilibrium shoreline models just convolutions?: JGR Earth Surface, v. 130, no. 6, e2025JF008452, 30 p., https://doi.org/10.1029/2025JF008452.","productDescription":"e2025JF008452, 30 p.","ipdsId":"IP-172699","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491493,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jf008452","text":"Publisher Index Page"},{"id":491025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":198817,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","middleInitial":"D.","affiliations":[],"preferred":false,"id":940731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gomez-de la Peña, Eduardo","contributorId":357091,"corporation":false,"usgs":false,"family":"Gomez-de la Peña","given":"Eduardo","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":940732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calcraft, Kit","contributorId":357094,"corporation":false,"usgs":false,"family":"Calcraft","given":"Kit","affiliations":[{"id":65517,"text":"University of New South Wales - Sydney","active":true,"usgs":false}],"preferred":false,"id":940733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lundine, Mark A. 0000-0002-2878-1713","orcid":"https://orcid.org/0000-0002-2878-1713","contributorId":339934,"corporation":false,"usgs":true,"family":"Lundine","given":"Mark","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940734,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Splinter, Kristen D.","contributorId":357097,"corporation":false,"usgs":false,"family":"Splinter","given":"Kristen D.","affiliations":[{"id":65517,"text":"University of New South Wales - Sydney","active":true,"usgs":false}],"preferred":false,"id":940735,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Giovanni Coco","contributorId":357100,"corporation":false,"usgs":false,"family":"Giovanni Coco","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":940736,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940737,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70268936,"text":"70268936 - 2025 - Evaluating mark–resight survey design performance using simulation: A case study of endangered Steller sea lions","interactions":[],"lastModifiedDate":"2025-07-11T14:54:44.035754","indexId":"70268936","displayToPublicDate":"2025-06-17T09:36:31","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":"Evaluating mark–resight survey design performance using simulation: A case study of endangered Steller sea lions","docAbstract":"

Effective monitoring is fundamental to estimating wildlife population parameters with a level of accuracy and precision that is adequate to inform management decisions. However, managers must balance trade-offs between the costs of monitoring and the resulting data quality to identify cost-effective monitoring survey designs. As such, evaluating the expected performance of monitoring surveys relative to monitoring objectives prior to survey implementation is critical. In this study, we present a simulation framework for examining the accuracy and precision of age-specific survival estimates and the probability of detecting a change in survival within the context of mark–resight monitoring programs. We consider 90 survey designs that vary across marked cohort size, marking frequency, study duration, and resight probability (i.e., detection of marked individuals). We apply this approach to the design of a monitoring program for Steller sea lions (Eumetopias jubatus), which is complicated by heterogeneity in rookery accessibility, population sizes, and abundance trends across the species' range. To identify cost-effective survey designs in the absence of actual survey costs, we evaluated performance with respect to a relative-costs schema. Our results highlight survey designs that reliably meet pre-defined precision targets, with precision and accuracy strongly affected by marked cohort size, marking frequency, and study duration. We found that historical mark–resight survey effort for Steller sea lions has been sufficient to reliably achieve precision targets for younger age class survival probabilities only for rookeries where abundance has been stable or increasing. In contrast, the probability of achieving survival estimates with target levels of precision at rookeries where abundance has been declining is low (<25%) due to smaller marked cohort sizes, less frequent marking at remote sites, and fewer years of available data. Our results indicate that the precision of survival estimates for subpopulations of conservation concern can be improved by longer-term monitoring, although the constraints of monitoring small populations may limit the ability of biologists to detect changes in population dynamics on management-relevant time horizons. Our survey design evaluation framework can be applied in a variety of contexts to assist natural resource managers in developing cost-effective monitoring programs.

","language":"English","doi":"10.1002/ecs2.70269","usgsCitation":"Warlick, A., Fadely, B., Mahoney, P., Melin, S., Gelatt, T., Raum-Suryan, K., and Converse, S.J., 2025, Evaluating mark–resight survey design performance using simulation: A case study of endangered Steller sea lions: Ecosphere, v. 16, no. 6, e70269, 17 p., https://doi.org/10.1002/ecs2.70269.","productDescription":"e70269, 17 p.","ipdsId":"IP-168290","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70269","text":"Publisher Index Page"},{"id":492130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, California, Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.99700186840911,\n 41.31024763734865\n ],\n [\n -123.89828231655736,\n 41.31024763734865\n ],\n [\n -123.89828231655736,\n 42.83541342747955\n ],\n [\n -124.99700186840911,\n 42.83541342747955\n ],\n [\n -124.99700186840911,\n 41.31024763734865\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -144.57099977378806,\n 60.210094564021404\n ],\n [\n -147.42530516272413,\n 61.01900360893788\n ],\n [\n -154.4685777266192,\n 57.192476031998496\n ],\n [\n -152.2042265367527,\n 56.548737899102974\n ],\n [\n -144.57099977378806,\n 60.210094564021404\n ]\n ]\n ],\n \"type\": \"Polygon\"\n },\n \"id\": 1\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -165.19786387100083,\n 54.59601974006466\n ],\n [\n -170.2829916648963,\n 54.59601974006466\n ],\n [\n -170.2829916648963,\n 52.18453814660984\n ],\n [\n -165.19786387100083,\n 52.18453814660984\n ],\n [\n -165.19786387100083,\n 54.59601974006466\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -177.36041702727837,\n 52.31061080382415\n ],\n [\n -179.99,\n 52.31061080382415\n ],\n [\n -179.99,\n 50.50167438998409\n ],\n [\n -177.36041702727837,\n 50.50167438998409\n ],\n [\n -177.36041702727837,\n 52.31061080382415\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 165,\n 55.932146006102926\n ],\n [\n 165,\n 54.00170250852281\n ],\n [\n 170,\n 54.00170250852281\n ],\n [\n 170,\n 55.932146006102926\n ],\n [\n 165,\n 55.932146006102926\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Warlick, Amanda J.","contributorId":357827,"corporation":false,"usgs":false,"family":"Warlick","given":"Amanda J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":942667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fadely, Brian S.","contributorId":357828,"corporation":false,"usgs":false,"family":"Fadely","given":"Brian S.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":942668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahoney, Peter","contributorId":357829,"corporation":false,"usgs":false,"family":"Mahoney","given":"Peter","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":942669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melin, Sharon R.","contributorId":357830,"corporation":false,"usgs":false,"family":"Melin","given":"Sharon R.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":942670,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gelatt, Tom","contributorId":357831,"corporation":false,"usgs":false,"family":"Gelatt","given":"Tom","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":942671,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Raum-Suryan, Kim","contributorId":357832,"corporation":false,"usgs":false,"family":"Raum-Suryan","given":"Kim","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":942672,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":942673,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70266861,"text":"sir20245061 - 2025 - Estimating daily public supply water use by drinking water service area in New Jersey","interactions":[],"lastModifiedDate":"2025-06-17T13:40:29.748047","indexId":"sir20245061","displayToPublicDate":"2025-06-17T09:05:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5061","displayTitle":"Estimating Daily Public Supply Water Use by Drinking Water Service Area in New Jersey","title":"Estimating daily public supply water use by drinking water service area in New Jersey","docAbstract":"

This report, prepared in cooperation with the New Jersey Department of Environmental Protection, presents a method for estimating daily public supply water use by drinking water service area systems for New Jersey. The ability to accurately estimate daily public supply water use could help water supply planners in New Jersey better understand and manage the state’s limited water resources and balance the competing needs for freshwater resources. Data sources for this work include daily public supply water-use data from 2016 through 2020 acquired from New Jersey American Water for 15 drinking water service areas and monthly data exported from the New Jersey Department of Environmental Protection’s online water transfer data model database (known as NJWaTr). The two datasets were compared by aggregating the daily data to a monthly timescale. Statistical regression analysis was applied to the daily data, along with climate data, to evaluate what factors are influential in estimating daily fluctuations and trends in daily public supply water use. Fifteen regression equations were developed, one for each of the 15 drinking water service area systems for which daily data were acquired. Regression equations for systems that had seasonal patterns performed better than equations for non-seasonal systems. For the test year (2020), the average adjusted coefficient of determination for the linear regression with autoregressive errors model among systems with seasonality was 0.78; the average adjusted coefficient of determination for the linear regression with autoregressive errors model among systems with little or no seasonality was 0.25. The effects of anomalous data in the regression analysis were examined by comparing adjusted coefficient of determination values when the atypical data points were removed versus when they were retained in the analysis. Overall, including the anomalous data did not have a large effect on the results, and thus the data were retained for this study. 

In addition to developing regression equations, all 589 unique drinking water service area systems in New Jersey were characterized based on socio-economic data and monthly water-use data from NJWaTr. Systems that are located near the New Jersey coast, serve populations larger than 1,970 people, or serve areas that have median property values over $256,250 tended to demonstrate seasonal water-use behaviors. Systems that have mostly urban residential land use tended to show little to no seasonal water-use behaviors. Finally, a method was developed to disaggregate monthly data to a daily timescale and was tested against systems for which daily data were not available. Two regression equation forms were developed to be applied to systems beyond the 15 systems from which the original equations were developed; one equation was developed for use when all drinking water service area systems showed little to no seasonality, and the other equation was developed for use when systems displayed seasonal behavior. 

To the extent possible, uncertainty and possible sources of error were identified and examined in relation to the regression model equations developed. Additional daily data from these 15 systems (over different years) and daily data from different systems could be used to further evaluate the results of the disaggregation through a comprehensive assessment of error. Further adjustments to the regression equations could be made, ultimately enhancing their accuracy. 

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Jersey\",\"nation\":\"USA \"}}]}","contact":"

Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike
Suite 110
Lawrenceville, NJ 08648

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2025-06-17","noUsgsAuthors":false,"publicationDate":"2025-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Shourds, Jennifer L. 0000-0002-7631-9734 jshourds@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-9734","contributorId":5821,"corporation":false,"usgs":true,"family":"Shourds","given":"Jennifer","email":"jshourds@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":936965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Malia H. 0000-0002-1393-1512","orcid":"https://orcid.org/0000-0002-1393-1512","contributorId":350909,"corporation":false,"usgs":true,"family":"Scott","given":"Malia H.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":936966,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70267978,"text":"70267978 - 2025 - The stratigraphic record of the mid-Piacenzian warm period on the Atlantic Coastal Plain","interactions":[],"lastModifiedDate":"2025-09-09T16:04:07.775087","indexId":"70267978","displayToPublicDate":"2025-06-16T10:58:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"The stratigraphic record of the mid-Piacenzian warm period on the Atlantic Coastal Plain","docAbstract":"

Anthropogenic climate change is an existential threat to our planet, impacting everything from the delicate balance of ecosystems to the availability of vital resources. Coastal regions, particularly vulnerable to the impacts of climate change due to rising sea levels and changing weather patterns, are experiencing increased erosion, flooding, and habitat loss. Understanding how coastal regions responded to past warming is crucial for developing effective adaptation and mitigation strategies. One past interval commonly used to examine and compare with climate model projections of near future conditions is the mid-Piacenzian Warm Period (MPWP) which occurred between*3.3 and 3.0 Ma. Here we review the stratigraphy of Atlantic Coastal Plain (ACP) sediments to determine the stratigraphic position of the MPWP by evaluating ages based upon existing and new planktic foraminifer occurrence data calibrated to the current geologic time scale (GTS2020). We identify geologic formations representing pre-, syn-, and post-MPWP environments. The Sunken Meadow Member of the Yorktown Formation in Virginia and North Carolina and the Wabasso beds in the subsurface of Georgia and Florida both fall within Planktic Foraminiferal Zone PL1 and represent pre-MPWP Pliocene deposits. Parts of the Yorktown Formation in southeastern Virginia and northern North Carolina, the Duplin Formation in North Carolina and South Carolina, and the Raysor Formation in South Carolina and Georgia, fall within Planktic Foraminiferal Zone PL3 and were deposited following a major regression associated with a global drop in sea level during Marine Isotope Stage (MIS) M2 and represent syn-MPWP deposits. Representing the immediately post-MPWP climate conditions (Planktic Foraminiferal Zone PL5) are the Chowan River, Bear Bluff, and Cypresshead Formations. This work provides a record of the MPWP from Georgia to Virginia and provides a stratigraphic framework within which the impacts of a profound global warming on the east coast of the United States can be assessed.

","language":"English","publisher":"Micropaleontological Press","doi":"10.47894/stra.22.2.00","usgsCitation":"Dowsett, H., and Spivey, W., 2025, The stratigraphic record of the mid-Piacenzian warm period on the Atlantic Coastal Plain: Stratigraphy, v. 22, no. 2, p. 81-97, https://doi.org/10.47894/stra.22.2.00.","productDescription":"17 p.","startPage":"81","endPage":"97","ipdsId":"IP-167251","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":490297,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-412/article-2424","linkFileType":{"id":5,"text":"html"}},{"id":495251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina, South Carolina, Virginia","otherGeospatial":"Atlantic Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.2540064137628,\n 37.9661310516864\n ],\n [\n -77.45393664738447,\n 37.57788480662157\n ],\n [\n -82.81553889394615,\n 31.49173122752032\n ],\n [\n -82.4849451212944,\n 30.69984073209814\n ],\n [\n -81.58807068387608,\n 30.841401404258605\n ],\n [\n -78.7009680731669,\n 33.43137207763918\n ],\n [\n -75.88995103042635,\n 34.91166522689612\n ],\n [\n -75.2540064137628,\n 37.9661310516864\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"22","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":316789,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":939852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spivey, Whittney 0000-0003-1111-3361 wspivey@usgs.gov","orcid":"https://orcid.org/0000-0003-1111-3361","contributorId":214849,"corporation":false,"usgs":true,"family":"Spivey","given":"Whittney","email":"wspivey@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":939853,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70270596,"text":"70270596 - 2025 - Stakeholders' priorities for management of a restored elk (Cervus canadensis) population in northeast Minnesota","interactions":[],"lastModifiedDate":"2025-08-21T15:41:31.430173","indexId":"70270596","displayToPublicDate":"2025-06-16T10:30:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Stakeholders' priorities for management of a restored elk (Cervus canadensis) population in northeast Minnesota","title":"Stakeholders' priorities for management of a restored elk (Cervus canadensis) population in northeast Minnesota","docAbstract":"

Wildlife reintroduction projects are an important tool for restoring traditional wildlife heritage, increasing species diversity, providing subsistence and sport hunting and other recreational opportunities, and assisting ecosystem adaption to future climate change. In Minnesota, the Fond du Lac Band of Lake Superior Chippewa and some conservationists advocate for the expansion of existing elk range to other parts of the state. For reintroduction projects to be successful, it is helpful if managers understand stakeholders' preferences for management objectives. We used best-worst scaling (BWS) to assess residents' preferences for management objective alternatives. The University of Minnesota, in collaboration with the Fond du Lac Band of Lake Superior Chippewa and the Rocky Mountain Elk Foundation, conducted a mail-back questionnaire of landowners (n = 4500) and the general public (n = 4000) in northeastern Minnesota to determine their attitudes toward elk reintroduction. Results suggest that the most preferred objectives were minimizing negative impacts on existing wildlife populations and reintroducing native species. In contrast, the least important objectives were related to providing elk viewing opportunities or maximizing economic opportunities through elk-related tourism. These findings help inform management objectives related to the reintroduction proposal, provide insight to minimize potential conflict and help develop future communication material related to elk reintroduction.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13200","usgsCitation":"Smith, K., Landon, A., Eric Waller, Fulton, D.C., Schrage, M.W., McCann, N., and Forester, J., 2025, Stakeholders' priorities for management of a restored elk (Cervus canadensis) population in northeast Minnesota: Conservation Science and Practice, v. 7, no. 7, e13200, 13 p., https://doi.org/10.1111/csp2.13200.","productDescription":"e13200, 13 p.","ipdsId":"IP-156969","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":494464,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13200","text":"Publisher Index Page"},{"id":494387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.5,\n 47.333\n ],\n [\n -93.333,\n 47.333\n ],\n [\n -93.333,\n 46\n ],\n [\n -91.5,\n 46\n ],\n [\n -91.5,\n 47.333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"7","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Kyle","contributorId":280045,"corporation":false,"usgs":false,"family":"Smith","given":"Kyle","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":946642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Adam","contributorId":279439,"corporation":false,"usgs":false,"family":"Landon","given":"Adam","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":946643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eric Waller","contributorId":332298,"corporation":false,"usgs":false,"family":"Eric Waller","affiliations":[{"id":27609,"text":"Contractor to USGS","active":true,"usgs":false}],"preferred":false,"id":946644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fulton, David C. 0000-0001-5763-7887","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":333043,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":79716,"text":"Minnesota Cooperative Unit","active":true,"usgs":false}],"preferred":true,"id":946645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schrage, Michael W.","contributorId":288729,"corporation":false,"usgs":false,"family":"Schrage","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":61835,"text":"Fond du Lac Band of Lake Superior Chippewa","active":true,"usgs":false}],"preferred":false,"id":946646,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCann, Nicholas","contributorId":360015,"corporation":false,"usgs":false,"family":"McCann","given":"Nicholas","affiliations":[{"id":33108,"text":"University of Minnesota Twin Cities","active":true,"usgs":false}],"preferred":false,"id":946647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Forester, James","contributorId":360016,"corporation":false,"usgs":false,"family":"Forester","given":"James","affiliations":[{"id":33108,"text":"University of Minnesota Twin Cities","active":true,"usgs":false}],"preferred":false,"id":946648,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70270319,"text":"70270319 - 2025 - Combining ecological and genomic diversity surveys to inform conservation and restoration of an endangered wetland plant, soft salty bird’s-beak (Chloropyron molle ssp. molle)","interactions":[],"lastModifiedDate":"2025-08-14T14:30:41.617611","indexId":"70270319","displayToPublicDate":"2025-06-16T09:23:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Combining ecological and genomic diversity surveys to inform conservation and restoration of an endangered wetland plant, soft salty bird’s-beak (Chloropyron molle ssp. molle)","docAbstract":"

Emergent tidal wetlands are declining globally as a result of sea level rise and land use change. This habitat loss can keenly affect rare plant species within wetlands, and may require restoration to meet species recovery goals related to retaining populations throughout species' ranges. Soft salty bird’s-beak (Chloropyron molle ssp. molle) is a federally- and state-endangered hemi-parasitic plant that occurs at the upper marsh transition zone in the San Francisco Bay–Delta, California, USA. We combined field surveys to document habitat associations and trends in abundance with genomic surveys to understand patterns of genetic structure in this rare endemic. We found that C. molle ssp. molle persisted at nine previously occupied marsh sites, although four sites (Hill Slough, MOTCO East, Fagan Marsh, and Joice Island) were smaller in population size than when surveyed in the 1990s. Additionally, twelve sites contained plots with suitable but unoccupied habitat that could be further assessed for restoration. Genomic analysis of over 40,000 single-nucleotide polymorphisms (SNPs) and 253 individuals grouped C. molle ssp. molle into six to seven regional genetic clusters with isolation by distance, and confirmed that C. molle ssp. molle is genetically distinct from adjacent populations of its closest relative (C. molle ssp. hispidum). The western-most C. molle ssp. molle sites of Point Pinole and Fagan Marsh were the most genetically and geographically isolated and had the lowest genome-wide diversity. Heterozygosity in sets of genes associated with tidal elevation, salinity, and annual and summer precipitation varied independently across populations. Overall, these genomic patterns indicate that selecting donor sites with similar environmental conditions and utilizing composite seeding approaches from multiple sites could allow for local adaptation to a range of possible environmental conditions. This comprehensive survey of habitat and genomic patterns can allow for the development of restoration actions and build climate-adaptation planning to help prevent the loss of a rare plant.

","language":"English","publisher":"University of California Davis","doi":"10.15447/sfews.2025v23iss2art5","usgsCitation":"Vandergast, A.G., Jones, S., Rankin, L.L., Bristow, M.L., Wood, D., and Thorne, K., 2025, Combining ecological and genomic diversity surveys to inform conservation and restoration of an endangered wetland plant, soft salty bird’s-beak (Chloropyron molle ssp. molle): San Francisco Estuary and Watershed Science, v. 23, no. 2, 5, 19 p., https://doi.org/10.15447/sfews.2025v23iss2art5.","productDescription":"5, 19 p.","ipdsId":"IP-166821","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":494200,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2025v23iss2art5","text":"Publisher Index Page"},{"id":494092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay-Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.62798204641327,\n 38.26781285138546\n ],\n [\n -122.62798204641327,\n 37.82370904712592\n ],\n [\n -121.42723094876217,\n 37.82370904712592\n ],\n [\n -121.42723094876217,\n 38.26781285138546\n ],\n [\n -122.62798204641327,\n 38.26781285138546\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Scott F. 0000-0002-1056-3785","orcid":"https://orcid.org/0000-0002-1056-3785","contributorId":204137,"corporation":false,"usgs":false,"family":"Jones","given":"Scott F.","affiliations":[{"id":36864,"text":"University of Louisiana Lafayette","active":true,"usgs":false}],"preferred":false,"id":946028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rankin, Lyndsay L. 0000-0003-4968-1946","orcid":"https://orcid.org/0000-0003-4968-1946","contributorId":332147,"corporation":false,"usgs":true,"family":"Rankin","given":"Lyndsay","email":"","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946029,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bristow, McKenna Leigh 0000-0003-2284-1380","orcid":"https://orcid.org/0000-0003-2284-1380","contributorId":330403,"corporation":false,"usgs":true,"family":"Bristow","given":"McKenna","middleInitial":"Leigh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946030,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wood, Dustin 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":195223,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","affiliations":[],"preferred":true,"id":946031,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946032,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268280,"text":"70268280 - 2025 - Scoping decision-maker needs and science availability to support regional natural capital accounting in the U.S. Colorado River Basin","interactions":[],"lastModifiedDate":"2025-06-20T14:25:55.873314","indexId":"70268280","displayToPublicDate":"2025-06-16T09:18:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5943,"text":"One Ecosystem","active":true,"publicationSubtype":{"id":10}},"title":"Scoping decision-maker needs and science availability to support regional natural capital accounting in the U.S. Colorado River Basin","docAbstract":"

Natural capital accounting has the potential to yield important policy insights at multiple scales, but there remains a disconnect between regional-scale natural capital accounts and their use for informing policy. In this paper, we propose a roadmap that could lead to the creation of policy-relevant regional accounts, with steps split across an initial scoping phase and a subsequent development phase. We demonstrate the scoping steps in action with an application to the Colorado River Basin (“Basin”), a large watershed in the southwestern United States (U.S.) that has faced aridification and substantial high-profile tradeoffs around the use of its water and other natural resources. Drawing on prior U.S. Geological Survey science co-production efforts, we conducted a series of eight discussion sessions with 41 scientists and science representatives whose work is relevant to Basin water, riparian and riverine ecosystems, upland ecosystems and energy and minerals. We summarise participants' thoughts on key topics and economic linkages, their insights and questions of interest and their recommendations on existing scientific data sources and gaps. We evaluate the suitability of the available data for construction of System of Environmental-Economic Accounting (SEEA) Central Framework and SEEA Ecosystem Accounting accounts, including those for land, water, forests, energy and minerals and ecosystems (covering extent, condition and ecosystem services). We present a series of lessons learned during the scoping phase, as well as lessons that could be relevant for future practitioners engaging in the development phase. The information can help guide the development of timely and relevant regional-scale environmental-economic accounts in the U.S. and beyond.

","language":"English","publisher":"Pensoft","doi":"10.3897/oneeco.10.e147848","usgsCitation":"Enriquez, A.J., Bagstad, K.J., Dahm, K., Torregrosa, A.A., and Schuster, R., 2025, Scoping decision-maker needs and science availability to support regional natural capital accounting in the U.S. Colorado River Basin: One Ecosystem, v. 10, e147848, 52 p., https://doi.org/10.3897/oneeco.10.e147848.","productDescription":"e147848, 52 p.","ipdsId":"IP-174023","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":491491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/oneeco.10.e147848","text":"Publisher Index Page"},{"id":491021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah, Wyoming","otherGeospatial":"U.S. Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.17764090281825,\n 35.12554291280361\n ],\n [\n -115.22388348576852,\n 32.6714960288822\n ],\n [\n -114.64523348546022,\n 32.6959720389348\n ],\n [\n -114.5582296837352,\n 32.46385000374262\n ],\n [\n -110.89393838404563,\n 31.28075591535938\n ],\n [\n -108.2173723487556,\n 31.3251446765358\n ],\n [\n -108.06400182207712,\n 32.5291268823845\n ],\n [\n -107.30272225391106,\n 34.32342052943805\n ],\n [\n -106.69789963396444,\n 36.602443067829526\n ],\n [\n -106.09388936806188,\n 39.1986266984284\n ],\n [\n -106.25789166159434,\n 41.01272550000448\n ],\n [\n -107.60805391608476,\n 43.093170001656574\n ],\n [\n -109.76114321368557,\n 43.59470695967647\n ],\n [\n -110.44713900844467,\n 40.552785978119346\n ],\n [\n -111.67118335490603,\n 38.90891919021175\n ],\n [\n -113.11999353237276,\n 37.78177191496151\n ],\n [\n -114.42766368760466,\n 37.956578120783476\n ],\n [\n -115.13223455603163,\n 39.522533859344065\n ],\n [\n -116.8897305478193,\n 39.50565015228386\n ],\n [\n -116.08173233860414,\n 36.32307104415649\n ],\n [\n -115.17764090281825,\n 35.12554291280361\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Enriquez, Aaron Joey 0000-0002-0305-4333","orcid":"https://orcid.org/0000-0002-0305-4333","contributorId":346485,"corporation":false,"usgs":true,"family":"Enriquez","given":"Aaron","email":"","middleInitial":"Joey","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":940694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":940695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dahm, Katharine G.","contributorId":357078,"corporation":false,"usgs":false,"family":"Dahm","given":"Katharine G.","affiliations":[{"id":85322,"text":"Office of Natural Resources Revenue","active":true,"usgs":false}],"preferred":false,"id":940696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":940697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":940698,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268193,"text":"70268193 - 2025 - Drought and deluge— Opportunities for climate-change adaptation in US national parks","interactions":[],"lastModifiedDate":"2025-09-09T14:39:38.872041","indexId":"70268193","displayToPublicDate":"2025-06-16T09:06:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Drought and deluge— Opportunities for climate-change adaptation in US national parks","docAbstract":"

In a changing climate, resource management depends on anticipating changes and considering uncertainties. To facilitate effective decision making on public lands, we regionally summarized the magnitude and uncertainty of projected change in management-relevant climate variables for 332 national park units across the contiguous US. Temperature, frequency of extreme precipitation events, and drought exposure are all projected to increase within seven regions delineated in the US National Climate Assessment. In particular, the anticipated collective impacts of droughts and flooding events will lead to unique management challenges, including combinations of management actions that may seem inconsistent. Furthermore, uncertainty in the magnitude of change varied by region and climate variable considered, pointing to specific opportunities for prioritization, transferability, and innovation of climate adaptation regionally and at the park-unit scale.

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No abstract available.

","language":"English","publisher":"Louisiana Department of Wildlife and Fisheries","usgsCitation":"Clark, J.D., and Hanks, J., 2025, Louisiana black bear monitoring report, 8 p.","productDescription":"8 p.","ipdsId":"IP-180132","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":494941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":494934,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.wlf.louisiana.gov/resources/category/black-bear","linkFileType":{"id":5,"text":"html"}}],"country":"United 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\"}}]}","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":947423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanks, John","contributorId":360685,"corporation":false,"usgs":false,"family":"Hanks","given":"John","affiliations":[{"id":62256,"text":"LDWF","active":true,"usgs":false}],"preferred":false,"id":947424,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70268362,"text":"70268362 - 2025 - Characterizing water-quality response after the 2020 Cameron Peak Fire using a novel application of the Weighted Regressions on Time, Discharge, and Season method","interactions":[],"lastModifiedDate":"2025-06-24T14:08:12.18671","indexId":"70268362","displayToPublicDate":"2025-06-16T09:02:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing water-quality response after the 2020 Cameron Peak Fire using a novel application of the Weighted Regressions on Time, Discharge, and Season method","docAbstract":"

The frequency and severity of wildfire activity in the western United States emphasises the utility of hydrologic models to predict water-quality response. This study presents a novel application of the Weighted Regressions on Time, Discharge and Season (WRTDS) method to assess potential changes in water quality in two watersheds draining the North Fork Big Thompson River and Buckhorn Creek in Larimer County, Colorado that were affected by the 2020 Cameron Peak Fire. WRTDS models were developed using 12 years of pre-fire data and used to estimate the expected constituent concentrations for each sample collected in the post-fire record. The predicted constituent concentrations modelled in this manner are representative of conditions in the absence of fire and allow pre-fire and post-fire stream chemistry to be quantitatively compared. Nitrate and total phosphorus concentrations showed the greatest differences between the observed and predicted concentrations, which were up to 153% greater than expected. We linked changes in source inputs and elevation as likely controls on the difference in magnitude and timing of response between the two watersheds. Post-fire arsenic and manganese concentrations were greater than the predicted concentrations in both watersheds, with arsenic up to 42% greater and manganese up to 85% greater than the model predictions. Post-fire calcium, magnesium, chloride and sulphate concentrations were greater than model predictions at the North Fork and less than the predictions at Buckhorn. We argue that greater burn severity at Buckhorn likely reduced soil–water infiltration and led to bypassed subsurface flow paths through a major lithologic source of these constituents. Post-fire changes in total organic carbon and dissolved iron concentrations were weakly supported by the model results, as observed concentrations were largely within the bounds of expected values calculated from the pre-fire model. The novel approach to WRTDS presented in this study could be a useful tool for water-quality assessments after land disturbances in the western United States.

","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70178","usgsCitation":"Ruckhaus, M.H., Clow, D.W., Hirsch, R.M., and Chapin, T.W., 2025, Characterizing water-quality response after the 2020 Cameron Peak Fire using a novel application of the Weighted Regressions on Time, Discharge, and Season method: Hydrological Processes, v. 39, no. 6, e70178, 21 p., https://doi.org/10.1002/hyp.70178.","productDescription":"e70178, 21 p.","ipdsId":"IP-171701","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":491489,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.70178","text":"Publisher Index Page"},{"id":491178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Larimer County","otherGeospatial":"Buckhorn Creek watershed, North Fork Big Thompson River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.1667,\n 40.75\n ],\n [\n -106,\n 40.75\n ],\n [\n -106,\n 40.333\n ],\n [\n -105.1667,\n 40.333\n ],\n [\n -105.1667,\n 40.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"39","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruckhaus, Manya Helene 0009-0006-3111-1127","orcid":"https://orcid.org/0009-0006-3111-1127","contributorId":344234,"corporation":false,"usgs":true,"family":"Ruckhaus","given":"Manya","email":"","middleInitial":"Helene","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":941105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapin, Tanner William 0000-0003-3905-3241","orcid":"https://orcid.org/0000-0003-3905-3241","contributorId":297923,"corporation":false,"usgs":true,"family":"Chapin","given":"Tanner","email":"","middleInitial":"William","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941106,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273481,"text":"70273481 - 2025 - Evaluating slash piles as habitat for a threatened salamander","interactions":[],"lastModifiedDate":"2026-01-16T15:07:00.084464","indexId":"70273481","displayToPublicDate":"2025-06-16T09:02:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating slash piles as habitat for a threatened salamander","docAbstract":"

Background

Amplified wildfire activity in forests of the western United States threatens biodiversity. Fuel treatments can reduce fire severity, modify fire behavior, and restore forest structure and composition, yet impacts of some treatments, including slash piling and burning, on wildlife have received little attention. Piling of residual woody material may create habitable microenvironments for species that require cool, moist microclimates for all biological and ecological functions. One such species, the Sacramento Mountain salamander (Aneides hardii Taylor), a relictual, endemic salamander narrowly distributed in the mountains of south-central New Mexico, USA, has been found below constructed slash piles within its range, but the characteristics of occupied slash piles and the extent of their occupancy has not yet been quantified. We surveyed for Sacramento Mountain salamanders in slash piles and under logs (cover objects) adjacent to piles and within a surrounding survey plot, and related salamander occupancy to slash pile and cover object characteristics, soil moisture and temperature, and environmental setting.

Results

We found Sacramento Mountain salamanders in 50% of surveyed slash piles. About 90% of salamanders were found in piles that contained black plastic sheeting, which held accumulations of moist leaf litter and other forest debris. We found no differences in pile characteristics, soil variables, or environmental setting between piles occupied by salamanders and piles in which no salamanders were detected. Salamander density was highest in slash piles, ~ 10% lower under cover objects in the survey area, and ~ 23% lower under cover objects adjacent to slash piles.

Conclusions

Slash piles serve as habitat for Sacramento Mountain salamanders. Our results suggest that within our study area or similar environments within the species range, any comparable slash pile has the potential to be occupied by salamanders. Species and habitat conservation measures indicated by this study and the timing of historical detections into mid-October include constructing smaller, pyramidal piles that minimize log-on-log or log-ground contact, avoiding the inclusion of black plastic in piles, limiting residence time of piles on the landscape, and initiating pile burning in late October or early November, when most salamanders are likely to have retreated below the ground surface.

","language":"English","publisher":"Springer","doi":"10.1186/s42408-025-00381-4","collaboration":"University of Rhode Island","usgsCitation":"Loehman, R.A., and Karraker, N.E., 2025, Evaluating slash piles as habitat for a threatened salamander: Fire Ecology, v. 21, 36, 18 p., https://doi.org/10.1186/s42408-025-00381-4.","productDescription":"36, 18 p.","ipdsId":"IP-124527","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":498916,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-025-00381-4","text":"Publisher Index Page"},{"id":498739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Lincoln National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.4616018244409,\n 32.86352310900293\n ],\n [\n -105.4616018244409,\n 32.775897714349966\n ],\n [\n -105.30671714574738,\n 32.775897714349966\n ],\n [\n -105.30671714574738,\n 32.86352310900293\n ],\n [\n -105.4616018244409,\n 32.86352310900293\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":953895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karraker, Nancy E","contributorId":365192,"corporation":false,"usgs":false,"family":"Karraker","given":"Nancy","middleInitial":"E","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":953896,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70270652,"text":"70270652 - 2025 - Adoption of non‐related goslings and intergenerational family cohesion among Greenland White‐fronted Geese (Anser albifrons flavirostris)","interactions":[],"lastModifiedDate":"2025-09-22T16:02:21.137379","indexId":"70270652","displayToPublicDate":"2025-06-16T08:51:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5306,"text":"International Journal of Avian Science ","active":true,"publicationSubtype":{"id":10}},"title":"Adoption of non‐related goslings and intergenerational family cohesion among Greenland White‐fronted Geese (Anser albifrons flavirostris)","docAbstract":"

Greenland White-fronted Geese Anser albifrons flavirostris exhibit prolonged parent–offspring and sibling–sibling associations, suggesting fitness advantages to such behaviour, so we used reduced representation genome sequence data to determine the degree to which marked flock members observed associating in apparent parent–offspring and sibling–sibling relationships in the field were genetically related. Among 50 bled, marked and released geese, we genetically identified members of 11 different family groups, confirming all observed male parent–offspring relationships as genetically predicted, but only 10 out of 12 (83%) possible female parent–offspring relationships (i.e. two offspring were not genetically related to the adult female in their family groups observed in the field); these two ‘adopted’ offspring were responsible for four (15%) of the cases where observed ‘siblings’ were not genetically related to other family-member first-winter birds with which they associated. One multigenerational family consisted of three genetically confirmed grandmother–mother–sibling offspring relationships, not previously reported in arctic-nesting geese, as well as one of the two ‘adopted’ first-winter geese.

","language":"English","publisher":"Wiley","doi":"10.1111/ibi.13427","usgsCitation":"Wilson, R.E., Sonsthagen, S.A., Walsh, A.J., and Fox, A.D., 2025, Adoption of non‐related goslings and intergenerational family cohesion among Greenland White‐fronted Geese (Anser albifrons flavirostris): International Journal of Avian Science , v. 167, no. 4, p. 1080-1088, https://doi.org/10.1111/ibi.13427.","productDescription":"9 p.","startPage":"1080","endPage":"1088","ipdsId":"IP-174546","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494530,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":495044,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ibi.13427","text":"Publisher Index Page"}],"country":"Ireland","otherGeospatial":"Wexford Slobs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -6.553981049791275,\n 52.35040040236751\n ],\n [\n -6.553981049791275,\n 52.30553195975094\n ],\n [\n -6.437262464425345,\n 52.30553195975094\n ],\n [\n -6.437262464425345,\n 52.35040040236751\n ],\n [\n -6.553981049791275,\n 52.35040040236751\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"167","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Robert E.","contributorId":360078,"corporation":false,"usgs":false,"family":"Wilson","given":"Robert","middleInitial":"E.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":946771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":353767,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Alyn J.","contributorId":360080,"corporation":false,"usgs":false,"family":"Walsh","given":"Alyn","middleInitial":"J.","affiliations":[{"id":85967,"text":"National Parks and Wildlife Service, Ireland","active":true,"usgs":false}],"preferred":false,"id":946773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fox, Anthony D.","contributorId":360082,"corporation":false,"usgs":false,"family":"Fox","given":"Anthony","middleInitial":"D.","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":946774,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}