Historically, constrained temperature ranges limited the spread of invasive herpetofauna into temperate climates, but climate change is predicted to facilitate broader distributions. There are three species of tegu lizards native to South America and available in the pet trade that have a high risk of invasion and deleterious impacts to native ecosystems in the United States (US). There are four populations of the black and white tegu (Salvator merianae) in Florida and sightings as far north as North Carolina and west as California. Red tegus (S. rufescens) have been observed in Florida, and there is an established population of gold tegus (Tupinambis teguixin) in Florida. We updated previous distribution models for the contiguous United States (CONUS) that used occurrence points from their native range in South America to evaluate potential changes given current and future climate scenarios (+2 °C and +4 °C warming). Under current climate conditions, one or more tegu species have the potential to occupy most ecoregions in the CONUS. Under a + 4 °C warming scenario, suitable habitat increases by 11 % for S. merianae, 31 % for S. rufescens. The proportion of suitable habitat for T. teguixin was small under all scenarios, but increased from 0.0003 to 0.0017. For S. merianae, parts of Florida become less suitable, while suitability increases in this region for the other two species. Additionally, much of the western US is projected to be suitable for S. rufescens. Our case study underscores the potential for climate change to compound invasion threats that could outpace effective managerial responses.
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Center","active":true,"usgs":true}],"preferred":true,"id":943703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":943704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Currylow, Andrea F.","contributorId":336151,"corporation":false,"usgs":false,"family":"Currylow","given":"Andrea","email":"","middleInitial":"F.","affiliations":[{"id":27471,"text":"US Army Corp of Engineers","active":true,"usgs":false}],"preferred":false,"id":943705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":943706,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270784,"text":"70270784 - 2025 - Scalable environmental DNA methods reveal strong associations between landscape-scale forest habitat and insect richness","interactions":[],"lastModifiedDate":"2025-08-25T14:01:21.25745","indexId":"70270784","displayToPublicDate":"2025-07-16T08:57:01","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Scalable environmental DNA methods reveal strong associations between landscape-scale forest habitat and insect richness","docAbstract":"While aquatic environmental DNA (eDNA) methods have reached relative maturity, terrestrial eDNA methods are nascent and have yet to reach widespread use. Field-ready applications require eDNA survey methods where samples are easy to collect by inexperienced practitioners, easy to transport between the field and lab, and easy to process thereafter. Here, we demonstrate methods that satisfy these requirements and show strong potential for characterizing diverse terrestrial eDNA samples collected from flower and leaf surfaces.
We used novel methods to collect and process 236 flower eDNA samples and 21 leaf surface eDNA samples, obtaining 2,228 Arthropoda eDNA detections spanning 175 families using amplicon sequencing of two genetic markers.
Detected taxa were diverse and included numerous groups of conservation concern, such as bees (Hymenoptera; Anthophila, 32 genera spanning 5 families) and Lepidoptera (209 genera from 21 families). Data reveal strong associations between insect community richness and remotely sensed measures of forest habitat, providing a quantitative perspective of relevance to insect conservation.
It is increasingly clear that a variety of organisms readily disperse eDNA throughout the environment, supporting the notion that eDNA will be a powerful tool for characterizing species distributions and monitoring at-risk species. However, we conclude that researchers seeking to characterize fine-scale habitat associations or plant-pollinator interactions using eDNA will need to carefully design studies with appropriate field controls, such as the leaf surface eDNA samples collected here.
This report synthesizes current (2024) science-based knowledge related to the impacts of climate change on big sagebrush vegetation in Western North America. This effort was conducted through the U.S. Geological Survey working with the Bureau of Land Management as part of multiple science syntheses to aid management agencies developing environmental impacts assessments in response to human-related or caused events. This report reviews the potential impacts climate change may have on sagebrush vegetation and related management decisions. The body of the synthesis introduces the diverse impacts of climate change across the region by first focusing directly on what climate change may entail in terms of altered temperature and precipitation patterns. The report then discusses how these changes could likely affect individual plant species based on experimental results and scale the impacts to species distributions and community composition. The synthesis section ends by surveying efforts to model potential future changes in habitat. The report goes on to link the synthesis conclusions to individual land uses or land management decisions, such as forage resources, restoration or fuel treatment. Finally, the report provides a section that discusses the pros and cons of available datasets that model the potential future of vegetation in the sagebrush region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255045","collaboration":"Prepared in cooperation with Yale School of the Environment and Bureau of Land Management","usgsCitation":"Carpenter, S.M., Holdrege, M.C., Schlaepfer, D.R., Phillips, J., Griffin, P., Lauenroth, W.K., and Bradford, J.B., 2025, Climate change impacts on plant communities in the sagebrush region—A science synthesis to inform Bureau of Land Management resource management: U.S. Geological Survey Scientific Investigations Report 2025–5045, 60 p., https://doi.org/10.3133/sir20255045.","productDescription":"x, 60 p.","onlineOnly":"Y","ipdsId":"IP-158152","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":492288,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5045/images"},{"id":492163,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5045/sir20255045.pdf","text":"Report","size":"54.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5045"},{"id":492162,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5045/coverthb.jpg"},{"id":492435,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255045/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5045"},{"id":492289,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5045/sir20255045.xml"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, North Dakota, Oregon, South Dakota, Utah, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.47085655229651,\n 49.03087841335443\n ],\n [\n -109.36707098761016,\n 48.97533905613594\n ],\n [\n -108.59984126360919,\n 47.10350873556769\n ],\n [\n -111.17120403969128,\n 48.93205699878433\n ],\n [\n -110.72899206743233,\n 47.28774464917828\n ],\n [\n -114.81019931620497,\n 44.92767854204746\n ],\n [\n -118.26252607142581,\n 47.40161992530679\n ],\n [\n -120.96059041198399,\n 48.913826471813934\n ],\n [\n -121.51113648480029,\n 48.583049845013676\n ],\n [\n -122.22592814966379,\n 42.19558595467558\n ],\n [\n -120.23956000538604,\n 38.86950616483054\n ],\n [\n -115.16424378294235,\n 34.49668753215643\n ],\n [\n -114.66904039390542,\n 35.774420444698194\n ],\n [\n -111.91445748122553,\n 36.57404002586604\n ],\n [\n -111.08039807202803,\n 38.090459720027894\n ],\n [\n -109.66040807077158,\n 34.09264795999532\n ],\n [\n -105.49956098365757,\n 33.35306735179675\n ],\n [\n -105.1942616934904,\n 36.86164728405714\n ],\n [\n -104.46325968085759,\n 41.6756079905559\n ],\n [\n -103.67824727595544,\n 42.2158730516426\n ],\n [\n -104.8704368129265,\n 44.69923426792971\n ],\n [\n -103.37233643926561,\n 45.25198814864976\n ],\n [\n -102.99032903885458,\n 48.723152452506895\n ],\n [\n -103.77002889466604,\n 48.730618780629214\n ],\n [\n -105.59751217809955,\n 47.36393384939501\n ],\n [\n -105.88781115813256,\n 48.97431691272439\n ],\n [\n -108.47085655229651,\n 49.03087841335443\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001
Researchers and policymakers increasingly recognize the contribution of aquatic food systems, such as fisheries, to food security and nutrition. Yet governing fisheries for nutrition objectives is complicated by the multiple overlapping processes that shape availability and access to nutrients over time, including fishing sustainability, climate change, trade dynamics, and consumer preferences. Anticipating the effect of governance interventions to sustain or enhance nutritional benefits from fisheries entails accounting for these multiple interacting influences. We develop an analytical approach to link available data on aquatic foods production, nutrition, distribution, and potential climate impacts to evaluate the nutrition implications of fishery management and post-harvest allocation interventions. We demonstrate this approach using national and publicly available datasets for five case study countries: Peru, Chile, Indonesia, Sierra Leone, and Malawi. As examples, we evaluate the potential to enhance domestic supply of key nutrients to nutritionally-vulnerable populations by (a) dynamically adjusting fishing effort in response to climate impacts on fish stocks, and (b) retaining aquatic foods currently diverted via trade or foreign fishing. The results indicate substantial differences across countries in terms of anticipated climate change effects, with potential for substantially increased nutrition yield in Chile and Peru under adaptive management, vs more modest yield increases in Indonesia. The impacts of post-harvest allocation policies related to foreign fishing, exports, fishing sector, and subnational trade also vary, with exports weighing heavily on nutrient availability in Sierra Leone. This methodological approach represents a step toward operationalizing calls to manage fisheries as part of national food and nutrient supplies, in light of climate change risks.
","language":"English","publisher":"Purpose-Led Publishing","doi":"10.1088/2976-601x/add164","usgsCitation":"Bennett, A., Mason, J.G., Battista, W., Free, C.M., Gephart, J.A., Kleisner, K.M., Rice, E.D., Robinson, K.F., and Virdin, J., 2025, An analytical approach to explore prospects and limits of nutrition-sensitive fisheries governance under climate change: Environmental Research: Food Systems, v. 2, 035003, 25 p., https://doi.org/10.1088/2976-601x/add164.","productDescription":"035003, 25 p.","ipdsId":"IP-166669","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495048,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2976-601x/add164","text":"Publisher Index Page"},{"id":494537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationDate":"2025-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Bennett, Abigail","contributorId":360346,"corporation":false,"usgs":false,"family":"Bennett","given":"Abigail","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":946987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mason, Julia G.","contributorId":360348,"corporation":false,"usgs":false,"family":"Mason","given":"Julia","middleInitial":"G.","affiliations":[{"id":15310,"text":"Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":946988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Battista, Willow","contributorId":360351,"corporation":false,"usgs":false,"family":"Battista","given":"Willow","affiliations":[{"id":15310,"text":"Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":946989,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Free, Christopher M.","contributorId":360354,"corporation":false,"usgs":false,"family":"Free","given":"Christopher","middleInitial":"M.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":946990,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gephart, Jessica A.","contributorId":360357,"corporation":false,"usgs":false,"family":"Gephart","given":"Jessica","middleInitial":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":946991,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kleisner, Kristin M.","contributorId":360360,"corporation":false,"usgs":false,"family":"Kleisner","given":"Kristin","middleInitial":"M.","affiliations":[{"id":15310,"text":"Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":946992,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rice, Emma D.","contributorId":360362,"corporation":false,"usgs":false,"family":"Rice","given":"Emma","middleInitial":"D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":946993,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946994,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Virdin, John","contributorId":360366,"corporation":false,"usgs":false,"family":"Virdin","given":"John","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":946995,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70270414,"text":"70270414 - 2025 - Blueprints for riverine cod nest boxes draw from multiple design considerations","interactions":[],"lastModifiedDate":"2025-08-19T14:30:10.508448","indexId":"70270414","displayToPublicDate":"2025-07-15T09:29:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12812,"text":"Aquaculture, Fish and Fisheries","onlineIssn":"2693-8847","active":true,"publicationSubtype":{"id":10}},"title":"Blueprints for riverine cod nest boxes draw from multiple design considerations","docAbstract":"Designing aquatic nest boxes is rarely afforded detailed scientific account. Here we provide some historical context for nest boxes used in production of large-bodied fishes of the Australian freshwater cod genus Maccullochella. Our experience with eastern freshwater cod is used as a case study to: (a) convey aspects of the complexity of the nest box design process and to (b) demonstrate the importance of visual literacy in project communication across the variety of contributors to the eco-design process. Specifically, we describe a new, two-variant, triangular nest box design for application in rivers and modifications to a standard stainless steel nest box for hatchery-pond-based spawning of eastern freshwater cod M. ikei. We designed the boxes to test adult preference for single versus double entrance/exits to cavities in hatchery and field environments. An important consideration specific to hatchery production is harvesting demersal, adhesive eggs prior to hatching to minimise fungal infection of eggs and physical loss of larvae, in addition to providing critical first feeding of larvae. In contrast, field nest box design incorporated multiple factors and associated trade-offs related to both internal and external design, ranging from manufacturer capability, material types, cost, transportability, hydrological performance, biodegradability, retrievability, as well as biological and ecological function. Only preliminary findings from field nest box deployments are provided here, and we focus primarily on elements of visual language in the form of conceptual drawings, sketches and final schematics which have been central to our process. We emphasise the benefit of harnessing input from multiple fields of expertise and documenting and testing designs of nest boxes for cavity nesting fishes, under both controlled hatchery and more complex field conditions.
","language":"English","publisher":"Wiley","doi":"10.1002/aff2.70095","usgsCitation":"Ebner, B.C., Morris, S.S., St Vincent Welch, J., Ryan, P.C., Turner, M., Cameron, L.M., Poitras, N., Coonrod, B., Welsh, S.A., McLellan, M., Jess, L., Vidler, S., Ingram, B.A., Thurstan, S., Rowland, S.J., Blake, S., and Butler, G.L., 2025, Blueprints for riverine cod nest boxes draw from multiple design considerations: Aquaculture, Fish and Fisheries, v. 5, no. 4, e70095, 13 p., https://doi.org/10.1002/aff2.70095.","productDescription":"e70095, 13 p.","ipdsId":"IP-166252","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":494454,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/aff2.70095","text":"Publisher Index Page"},{"id":494307,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Ebner, Brendan C.","contributorId":359871,"corporation":false,"usgs":false,"family":"Ebner","given":"Brendan","middleInitial":"C.","affiliations":[{"id":85927,"text":"New South Wales Department of Primary Industries and Regional Development","active":true,"usgs":false}],"preferred":false,"id":946361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morris, Shaun S.","contributorId":359872,"corporation":false,"usgs":false,"family":"Morris","given":"Shaun","middleInitial":"S.","affiliations":[{"id":85930,"text":"North Coast Local Land Services","active":true,"usgs":false}],"preferred":false,"id":946362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"St Vincent Welch, John","contributorId":359873,"corporation":false,"usgs":false,"family":"St Vincent Welch","given":"John","affiliations":[{"id":85927,"text":"New South Wales Department of Primary Industries and Regional Development","active":true,"usgs":false}],"preferred":false,"id":946363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ryan, Paul C.","contributorId":359874,"corporation":false,"usgs":false,"family":"Ryan","given":"Paul","middleInitial":"C.","affiliations":[{"id":85927,"text":"New South Wales Department of Primary Industries and Regional Development","active":true,"usgs":false}],"preferred":false,"id":946364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turner, Mitch","contributorId":359875,"corporation":false,"usgs":false,"family":"Turner","given":"Mitch","affiliations":[{"id":85927,"text":"New South Wales Department of Primary Industries and Regional Development","active":true,"usgs":false}],"preferred":false,"id":946365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cameron, Leo M.","contributorId":359876,"corporation":false,"usgs":false,"family":"Cameron","given":"Leo","middleInitial":"M.","affiliations":[{"id":85927,"text":"New South Wales Department of Primary Industries and Regional Development","active":true,"usgs":false}],"preferred":false,"id":946366,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poitras, Natalie","contributorId":359877,"corporation":false,"usgs":false,"family":"Poitras","given":"Natalie","affiliations":[{"id":85927,"text":"New South Wales Department of Primary Industries and Regional Development","active":true,"usgs":false}],"preferred":false,"id":946367,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Coonrod, Brooke","contributorId":359878,"corporation":false,"usgs":false,"family":"Coonrod","given":"Brooke","affiliations":[{"id":85927,"text":"New South Wales Department of Primary Industries and Regional Development","active":true,"usgs":false}],"preferred":false,"id":946368,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Welsh, Stuart A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":217037,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"","middleInitial":"A.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946369,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McLellan, Matthew","contributorId":359879,"corporation":false,"usgs":false,"family":"McLellan","given":"Matthew","affiliations":[{"id":85927,"text":"New South Wales Department of Primary Industries and Regional Development","active":true,"usgs":false}],"preferred":false,"id":946370,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jess, Lachie","contributorId":359880,"corporation":false,"usgs":false,"family":"Jess","given":"Lachie","affiliations":[{"id":85927,"text":"New South Wales Department of Primary Industries and Regional Development","active":true,"usgs":false}],"preferred":false,"id":946371,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vidler, Stephen","contributorId":359881,"corporation":false,"usgs":false,"family":"Vidler","given":"Stephen","affiliations":[{"id":85931,"text":"Victorian Fisheries Authority","active":true,"usgs":false}],"preferred":false,"id":946372,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ingram, Brett A.","contributorId":359882,"corporation":false,"usgs":false,"family":"Ingram","given":"Brett","middleInitial":"A.","affiliations":[{"id":85931,"text":"Victorian Fisheries Authority","active":true,"usgs":false}],"preferred":false,"id":946373,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Thurstan, S.","contributorId":359883,"corporation":false,"usgs":false,"family":"Thurstan","given":"S.","affiliations":[{"id":85927,"text":"New South Wales Department of Primary Industries and Regional Development","active":true,"usgs":false}],"preferred":false,"id":946374,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rowland, S. J.","contributorId":359884,"corporation":false,"usgs":false,"family":"Rowland","given":"S.","middleInitial":"J.","affiliations":[{"id":85927,"text":"New South Wales Department of Primary Industries and Regional Development","active":true,"usgs":false}],"preferred":false,"id":946375,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Blake, S.","contributorId":359885,"corporation":false,"usgs":false,"family":"Blake","given":"S.","affiliations":[{"id":85927,"text":"New South Wales Department of Primary Industries and Regional Development","active":true,"usgs":false}],"preferred":false,"id":946376,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Butler, G. L.","contributorId":359886,"corporation":false,"usgs":false,"family":"Butler","given":"G.","middleInitial":"L.","affiliations":[{"id":85927,"text":"New South Wales Department of Primary Industries and Regional Development","active":true,"usgs":false}],"preferred":false,"id":946377,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70269228,"text":"70269228 - 2025 - Evaluation of rapid DNA extraction methods to better enable point-of-use environmental DNA detection","interactions":[],"lastModifiedDate":"2025-07-17T14:21:33.35311","indexId":"70269228","displayToPublicDate":"2025-07-15T09:18:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of rapid DNA extraction methods to better enable point-of-use environmental DNA detection","docAbstract":"Recent developments in molecular testing have created the opportunity for biologists and managers to detect environmental DNA (eDNA) of target species rapidly and without the requirement of a laboratory. These point-of-use protocols may be especially useful for early detection and rapid response for invasive species or surveillance for at-risk native species, where timely management decisions are critical. Point-of-use eDNA protocols also facilitate wider and less expensive implementation of eDNA methods. One of the key components to an effective point-of-use protocol is a rapid DNA extraction method. Several rapid extraction protocols are suitable for implementation in the field, but information regarding their relative effectiveness is lacking. We evaluated extraction efficiency of four DNA rapid extraction protocols using filters spiked with primary cultured grass carp (Ctenopharyngodon idella) gill cells. The extraction methods included two syringe-based column extractions, a lysis and extraction solution, and a divalent cation chelation resin (Chelex) extraction protocol alongside a laboratory-based control kit. We estimated DNA yield using a newly designed quantitative polymerase chain reaction (qPCR) assay targeting the grass carp nuclear genome. We evaluated two additional factors, filter type (mixed cellulose ester [MCE] and polyethersulfone [PES]) and background eDNA source (aquaculture or river). The lysis and extraction solution and Chelex extraction both had the highest overall yield, with MCE filters further increasing Chelex yield while the enzyme extraction yield was dependent on interaction with both filter and eDNA source. Our results indicate that rapid extraction protocols, such as solutions with short heating steps, are effective for DNA isolation and help to increase the overall accessibility of eDNA analyses.
","language":"English","publisher":"Wiley","doi":"10.1002/edn3.70159","usgsCitation":"Kozaczek, M., Spear, S.F., Untiedt, T., Albosta, P., Jungbluth, C., Homola, J.J., Barnhart, E.P., and Merkes, C.M., 2025, Evaluation of rapid DNA extraction methods to better enable point-of-use environmental DNA detection: Environmental DNA, v. 7, no. 4, e70159, 11 p., https://doi.org/10.1002/edn3.70159.","productDescription":"e70159, 11 p.","ipdsId":"IP-171289","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":492509,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.70159","text":"Publisher Index Page"},{"id":492416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kozaczek, Melisa E. 0009-0001-9159-2739","orcid":"https://orcid.org/0009-0001-9159-2739","contributorId":358215,"corporation":false,"usgs":false,"family":"Kozaczek","given":"Melisa E.","affiliations":[{"id":81824,"text":"Contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":943247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spear, Stephen Frank 0000-0001-8351-9382","orcid":"https://orcid.org/0000-0001-8351-9382","contributorId":293162,"corporation":false,"usgs":true,"family":"Spear","given":"Stephen","email":"","middleInitial":"Frank","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":943248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Untiedt, Tyler J. 0009-0003-9366-2627","orcid":"https://orcid.org/0009-0003-9366-2627","contributorId":358216,"corporation":false,"usgs":false,"family":"Untiedt","given":"Tyler J.","affiliations":[{"id":81824,"text":"Contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":943249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Albosta, Paul","contributorId":342642,"corporation":false,"usgs":false,"family":"Albosta","given":"Paul","email":"","affiliations":[{"id":81904,"text":"University of Wisconsin – Stevens Point,","active":true,"usgs":false}],"preferred":false,"id":943250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jungbluth, Caden","contributorId":358218,"corporation":false,"usgs":false,"family":"Jungbluth","given":"Caden","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":943251,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Homola, Jared J.","contributorId":264547,"corporation":false,"usgs":false,"family":"Homola","given":"Jared","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":943252,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":203225,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943253,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":943254,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70269490,"text":"70269490 - 2025 - Grand Canyon landslide-dam and paleolake triggered by the Meteor Crater impact at 56 ka","interactions":[],"lastModifiedDate":"2025-11-18T17:01:10.597342","indexId":"70269490","displayToPublicDate":"2025-07-15T09:03:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Grand Canyon landslide-dam and paleolake triggered by the Meteor Crater impact at 56 ka","docAbstract":"This paper hypothesizes that the Meteor Crater impact in Arizona, USA, 56,000 years ago triggered landslides in Grand Canyon that dammed the Colorado River and formed Nankoweap paleolake. This is compatible with shock and earthquake physics for the impact that infer a M5.4 seismic event, attenuated to an effective magnitude of M3.5 at Grand Canyon. Results that support the hypothesis include radiocarbon dating of driftwood and luminescence dating of associated slack-water lake sediments that are preserved in caves up to 60 m above the modern Colorado River. Radiocarbon ages from two locations, including Stanton’s Cave, date the driftwood as 55.25 ± 2.44 ka (n = 4). Sediments associated with the driftwood gave a luminescence age of 56.00 ± 6.39 ka (n = 2). These six Grand Canyon dates, and three published ages for the Meteor Crater impact, show statistically indistinguishable results that support the hypothesis for a geologically instantaneous series of events with a mean age of 55.60 ± 1.30 ka. This work highlights the value of radiocarbon dating near the limits of the technique, integration of multiple dating methods, and seismic and landslide hazards associated with meteorite impacts in regions of extreme topography like Grand Canyon.
Copper-based chemical treatments are commonly used to eradicate invasive mussels in small ponds and lakes, but their use in large rivers has been limited. In 2023, in response to a detection of invasive quagga mussels, a 10-km reach of the Snake River (Idaho, USA), was treated with an unprecedented 19,300 kg of chelated copper molluscicide to a target concentration of 1,000 µg/L for 10 days. We assessed the transport and fate of the copper and its exposure and effects on the nontarget benthic community downstream. Water samples were collected at seven locations throughout the treatment period, and sediment, periphyton, and benthic macroinvertebrates were collected pre- and posttreatment. Nearly half of the original mass of copper was removed from the water column via sedimentation, sorption to algae, or biological uptake within the 10-km treatment reach and the first 15 km downstream. Even so, dissolved copper concentrations exceeded the acute toxicity threshold at least as far as 28 km downstream for more than 2 weeks. Sediment copper increased by up to 8.3-fold, exceeding the consensus-based sediment quality threshold effect concentration at several sites. Effects on benthic macroinvertebrates varied by taxa. From 0–28 km downstream, invertebrate abundances decreased 52%–94%, with gastropods among the most affected. Of the unique taxa present at these sites pretreatment, 52%–64% were not found posttreatment but were replaced by other taxa, indicating a reorganization of the base of the food web. Additionally, from 0–15 km downstream, the percentage of individuals from tolerant taxa increased two to15-fold. Findings from this study can help watershed managers plan future invasive mussel responses while protecting culturally, economically, and ecologically important nontarget species in large rivers.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf119","usgsCitation":"Baldwin, A.K., Murray, E., Zinsser, L.M., King, T.V., Ducar, S.D., Southern, I., Thom, T., and Mebane, C.A., 2025, Fate and effects to the benthic community of a copper treatment to eradicate invasive mussels in a large western river, USA: Environmental Toxicology and Chemistry, v. 44, no. 8, p. 2166-2180, https://doi.org/10.1093/etojnl/vgaf119.","productDescription":"15 p.","startPage":"2166","endPage":"2180","ipdsId":"IP-173841","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":494190,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgaf119","text":"Publisher Index Page"},{"id":493934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.19538272232973,\n 43.32567469741488\n ],\n [\n -116.19538272232973,\n 42.22650789070423\n ],\n [\n -113.5905787354007,\n 42.22650789070423\n ],\n [\n -113.5905787354007,\n 43.32567469741488\n ],\n [\n -116.19538272232973,\n 43.32567469741488\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Erin 0000-0002-5007-3449","orcid":"https://orcid.org/0000-0002-5007-3449","contributorId":205705,"corporation":false,"usgs":true,"family":"Murray","given":"Erin","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zinsser, Lauren M. 0000-0002-8582-066X","orcid":"https://orcid.org/0000-0002-8582-066X","contributorId":205756,"corporation":false,"usgs":true,"family":"Zinsser","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ducar, Scott D. 0000-0003-0781-5598","orcid":"https://orcid.org/0000-0003-0781-5598","contributorId":297547,"corporation":false,"usgs":true,"family":"Ducar","given":"Scott","email":"","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945509,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Southern, India","contributorId":359460,"corporation":false,"usgs":false,"family":"Southern","given":"India","affiliations":[{"id":6912,"text":"Idaho Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":945510,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thom, Theresa","contributorId":224436,"corporation":false,"usgs":false,"family":"Thom","given":"Theresa","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":945511,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945512,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70268980,"text":"fs20253033 - 2025 - The 3D Elevation Program—Supporting Vermont's economy","interactions":[],"lastModifiedDate":"2026-02-03T14:26:17.064965","indexId":"fs20253033","displayToPublicDate":"2025-07-15T07:45:00","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":"2025-3033","displayTitle":"The 3D Elevation Program—Supporting Vermont’s Economy","title":"The 3D Elevation Program—Supporting Vermont's economy","docAbstract":"The geographic information system (GIS) community in Vermont has a long history of interdisciplinary and cooperative projects that have facilitated the leveraging of geospatial technology on myriad data acquisitions across the State. High-resolution elevation data are proving to be a resource of great economic value in dealing with many important issues in Vermont. Vermont attained statewide coverage of quality level 2 coverage of topographic light detection and ranging (lidar) data in 2019. Having access to elevation data that are exponentially more accurate than what was previously available is enabling GIS professionals to better support and empower decision makers in economically important efforts such as environmental protection, public safety, watershed management and water quality, geology, transportation planning, forest and wildlife management, local planning, and flood plain management. In addition, developing a consistent and seamless statewide topographic framework supplants the traditionally time consuming and costly approach of extensive field data collection by requiring less time and money, therefore adding economic benefits. Critical applications that meet the State’s management needs depend on lidar data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features.
The 3D Elevation Program (3DEP) is managed by the U.S. Geological Survey (USGS) in partnership with Federal, State, Tribal, U.S. territorial, and local agencies to acquire consistent lidar coverage at quality level 2 or better to meet the many needs of the Nation and Vermont. The status of available and in-progress 3DEP baseline lidar data in Vermont is shown in figure 1. 3DEP baseline lidar data include quality level 2 or better, 1-meter or better digital elevation models, and lidar point clouds, and must meet the Lidar Base Specification version 1.2 (https://www.usgs.gov/3dep/lidarspec) or newer requirements. The National Enhanced Elevation Assessment identified user requirements and conservatively estimated that availability of lidar data would result in at least $1.64 million in new benefits annually to the State. The top eight Vermont business uses for 3D elevation data, which are based on the estimated annual conservative benefits of 3DEP, are shown in table 2.
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\"}}]}","contact":"Director, National Geospatial Program
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 511
Reston, VA 20192
Email: 3DEP@usgs.gov
","tableOfContents":"Somatic growth rate is a fundamental trait that influences metabolism, lifespan and reproductive maturity and is critical for understanding population dynamics and informing management actions. Brown Treesnakes (Boiga irregularis) introduced to Guam are highly invasive and can reproduce year-round without discrete cohorts. We compared snake size trajectories described by the conventionally used von Bertalanffy growth function versus the Gompertz model. Using quantile regression with a regularized effect for individual snakes we modeled growth rates of 270 marked, wild snakes as a function of size. The Gompertz model explained more of the variation in growth and rendered more realistic predictions of asymptotic sizes than did the von Bertalanffy model. With the Gompertz model, growth rates were 1.05–1.16× faster in males than in females. Females reached asymptotic sizes at shorter snout-vent lengths than males. Growth rate was positively correlated with amount of precipitation, and modeling wet-dry seasonality on Guam as a sinusoidal function identified a growth peak in September—October. Effects of seasonality and precipitation, however, were minor compared to individual and sex related differences in size-adjusted growth rates. We estimated that the 50th (and 5th, 95th) growth-rate percentile males in our study population become sexually mature at an age of 33 (∞, 15) months, while females mature at 41 (∞, 18) months, where ∞ indicates that the slowest growing snakes never reach maturity. However, 50% of the snakes mature at a size below the median, and age at maturity may be as low as 10.4 (males) and 13.7 (females) months for average-sized hatchlings that grow fast. Our results have implications for the timing of management options for this species and our approach can be broadly applied to animals where repeated growth data are obtained and age is unknown.
","language":"English","doi":"10.1002/ece3.71695","usgsCitation":"Lardner, B., Cade, B.S., Savidge, J.A., Rodda, G.H., Reed, R., and Yackel Adams, A.A., 2025, Growth rate variation in Brown Treesnakes (Boiga irregularis): An invasive species of conservation concern: Ecology and Evolution, v. 15, no. 7, e71695, 13 p., https://doi.org/10.1002/ece3.71695.","productDescription":"e71695, 13 p.","ipdsId":"IP-129633","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":492872,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71695","text":"Publisher Index Page"},{"id":492628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Guam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 144.97370767089484,\n 13.602893910874045\n ],\n [\n 144.85437262594462,\n 13.66982861291649\n ],\n [\n 144.74819953448088,\n 13.502237780603025\n ],\n [\n 144.60561170503658,\n 13.462933343165659\n ],\n [\n 144.6200898538703,\n 13.238449316687053\n ],\n [\n 144.76311641509852,\n 13.23674118706542\n ],\n [\n 144.7977762259491,\n 13.410418069709003\n ],\n [\n 144.9383897623706,\n 13.516040821003134\n ],\n [\n 144.97370767089484,\n 13.602893910874045\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Lardner, Bjorn","contributorId":225066,"corporation":false,"usgs":false,"family":"Lardner","given":"Bjorn","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":943626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":943627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savidge, Julie A.","contributorId":175196,"corporation":false,"usgs":false,"family":"Savidge","given":"Julie","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":943628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodda, Gordon H. 0000-0002-6696-7308 roddag@usgs.gov","orcid":"https://orcid.org/0000-0002-6696-7308","contributorId":210066,"corporation":false,"usgs":true,"family":"Rodda","given":"Gordon","email":"roddag@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":943629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Robert 0000-0001-8349-6168","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":267796,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":943630,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":943631,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271350,"text":"70271350 - 2025 - Constraining snow water equivalent of wet snowpacks in southeast Alaska","interactions":[],"lastModifiedDate":"2025-11-20T17:01:21.899953","indexId":"70271350","displayToPublicDate":"2025-07-14T08:30:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":794,"text":"Annals of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Constraining snow water equivalent of wet snowpacks in southeast Alaska","docAbstract":"Quantifying snow water equivalent (SWE) with ground-penetrating radar (GPR) in a \nwarming climate is complicated by the incidence and variability of liquid water in snow. Snow \nsurveys conducted during the melt season serve as a valuable analog to conditions under future \nwarming. Here, we determine the variability of wet snowpack properties (relative permittivity \nand density) to quantify their impact on SWE estimates using GPR. We collected spatially \ncontinuous snowpack measurements with 400 MHz GPR in 2012 and 2021 across repeat \ntransects (~150 km each year) along with spring and summer snow depth and density \nmeasurements from snow pits and snow cores. Snow relative permittivity values ranged between \n2.06 – 2.62 in 2012 and 2.11 – 5.11 in 2021, resulting in calculated volumetric liquid water \ncontent (LWC) between 1.7% – 5.7% in 2012 and 2.1% – 16% in 2021. This variability in snow \nrelative permittivity results in SWE uncertainties between 8% – 33%, with more extreme cases\nreaching 13% – 45%. We attribute this uncertainty to spatial and temporal variability in liquid \nwater content when using GPR to estimate SWE. As snowpacks become wetter with rising\natmospheric temperatures, GPR surveys should include in-situ relative permittivity \nmeasurements to reduce depth and SWE interpretation uncertainties.","language":"English","publisher":"Cambridge University Press","doi":"10.1017/aog.2025.10014","usgsCitation":"Mannello, M., Braddock, S., Campbell, S., Erwin, E., Schild, K., and McNeil, C., 2025, Constraining snow water equivalent of wet snowpacks in southeast Alaska: Annals of Glaciology, v. 66, e21, 9 p., https://doi.org/10.1017/aog.2025.10014.","productDescription":"e21, 9 p.","ipdsId":"IP-161022","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":495387,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/aog.2025.10014","text":"Publisher Index Page"},{"id":495236,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"southeast Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -133.667,\n 59\n ],\n [\n -134.667,\n 59\n ],\n [\n -134.667,\n 58.333\n ],\n [\n -133.667,\n 58.333\n ],\n [\n -133.667,\n 59\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"66","noUsgsAuthors":false,"publicationDate":"2025-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Mannello, Mikaila","contributorId":361040,"corporation":false,"usgs":false,"family":"Mannello","given":"Mikaila","affiliations":[{"id":86169,"text":"The University of Maine Climate Change Institute","active":true,"usgs":false}],"preferred":false,"id":948165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braddock, Scott","contributorId":361041,"corporation":false,"usgs":false,"family":"Braddock","given":"Scott","affiliations":[{"id":86170,"text":"University of Maine System, Earth and Climate Sciences","active":true,"usgs":false}],"preferred":false,"id":948166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Seth","contributorId":255638,"corporation":false,"usgs":false,"family":"Campbell","given":"Seth","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":948167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erwin, Emma","contributorId":361043,"corporation":false,"usgs":false,"family":"Erwin","given":"Emma","affiliations":[{"id":86171,"text":"Climate Change Institute, University of Maine","active":true,"usgs":false}],"preferred":false,"id":948169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schild, Kristin","contributorId":361044,"corporation":false,"usgs":false,"family":"Schild","given":"Kristin","affiliations":[{"id":86172,"text":"School of Earth and Climate Science, University of Maine","active":true,"usgs":false}],"preferred":false,"id":948170,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McNeil, Christopher 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":220853,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher","email":"cmcneil@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":948172,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70270653,"text":"70270653 - 2025 - High-intensity fire supports restoration of grassland species richness and community composition following woody encroachment","interactions":[],"lastModifiedDate":"2025-08-22T15:33:08.942935","indexId":"70270653","displayToPublicDate":"2025-07-14T08:24:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"High-intensity fire supports restoration of grassland species richness and community composition following woody encroachment","docAbstract":"Woody encroachment has driven drastic declines in grassland biodiversity and productivity. In the U.S. Great Plains, high-intensity prescribed fire is increasingly being used to shift encroaching redcedar woodlands to a grassland state. High-intensity fire treatments drive redcedar mortality and increase herbaceous biomass. However, it is unclear how grassland community composition recovers following stand-consuming fire. We contrast herbaceous community composition, basal cover, and species richness in woodlands treated with stand-consuming high-intensity fire to reference grassland and woodland sites to examine whether high-intensity fires facilitate restoration of grassland communities. To determine the long-term outcomes of high-intensity fire treatments, we use a space-for-time substitute to measure changes to herbaceous community and species richness over a time-since-fire gradient of 17 years. We found that herbaceous cover and species richness increased substantially in woodlands treated with stand-consuming high-intensity fire compared to unburned woodlands, and that these values were similar to those observed in both burned and unburned grasslands. Herbaceous community composition in woodlands treated with high-intensity fire also shifted towards grasslands, though some legacies of woodland communities persisted. Time-since-fire generally did not have a large influence on total herbaceous cover or species richness through time, though grass cover decreased in woodlands treated with high-intensity fire a decade post-treatment. Our findings suggest that a single high-intensity fire can support the restoration of herbaceous plant species richness and cover, and shift community composition to a grassland regime, though additional low-intensity fire treatments may be necessary to erode legacies from the encroached state.
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University","active":true,"usgs":false}],"preferred":false,"id":946777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, Caleb Powell 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":288567,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","email":"","middleInitial":"Powell","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":947018,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Twidwell, Dirac","contributorId":341491,"corporation":false,"usgs":false,"family":"Twidwell","given":"Dirac","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":946779,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271487,"text":"70271487 - 2025 - Sensitivity of mayfly Neocloeon triangulifer to a reference toxicant is significantly impacted by the age of the diatom feed species Navicula pelliculosa","interactions":[],"lastModifiedDate":"2025-09-18T15:14:37.021576","indexId":"70271487","displayToPublicDate":"2025-07-14T08:00:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21817,"text":"Ecotoxicology and Public Health","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Sensitivity of mayfly Neocloeon triangulifer to a reference toxicant is significantly impacted by the age of the diatom feed species Navicula pelliculosa","title":"Sensitivity of mayfly Neocloeon triangulifer to a reference toxicant is significantly impacted by the age of the diatom feed species Navicula pelliculosa","docAbstract":"The development of standardized toxicity tests is critical for assessing pollutants in aquatic ecosystems. The mayfly Neocloeon triangulifer offers advantages as a test species due to its asexual reproduction, short life cycle, and high sensitivity to pollutants. However, we identified variability in response sensitivity to pollutants, which may stem from the nutritional composition and growth stage of its primary food source, Navicula spp. diatoms. This study aimed to evaluate the repeatability and reproducibility of 96 h toxicity tests to sodium chloride with N. triangulifer fed diatoms of varying ages (target concentrations: 329, 494, 741, 1111, 1666, and 2500 mg/L). We tracked Navicula spp. growth stages under controlled conditions and characterized fatty acid and lipid contents at each stage to assess how these factors influence N. triangulifer sensitivity to sodium chloride, a common reference toxicant. Sensitivity increased significantly as the diatom feed aged, highlighting the need for standardized culturing methods to improve test reliability. This study is the first to simultaneously characterize the growth stages and fatty acid profiles of Navicula spp. diatoms as feed species for N. triangulifer. This work contributes valuable insights to the optimization of standardized toxicity testing with this sensitive aquatic insect.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c04173","usgsCitation":"Ijzerman, M.M., Gallant, M.J., Soucek, D.J., Consbrock, R.A., Roshon, H., Gawronski, J., Sibley, P.K., and Prosser, R.S., 2025, Sensitivity of mayfly Neocloeon triangulifer to a reference toxicant is significantly impacted by the age of the diatom feed species Navicula pelliculosa: Ecotoxicology and Public Health, v. 59, no. 29, p. 15017-15026, https://doi.org/10.1021/acs.est.5c04173.","productDescription":"10 p.","startPage":"15017","endPage":"15026","ipdsId":"IP-179544","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":495711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"29","noUsgsAuthors":false,"publicationDate":"2025-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Ijzerman, Moira M.","contributorId":361503,"corporation":false,"usgs":false,"family":"Ijzerman","given":"Moira","middleInitial":"M.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":948927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallant, Melanie J.","contributorId":361504,"corporation":false,"usgs":false,"family":"Gallant","given":"Melanie","middleInitial":"J.","affiliations":[{"id":86302,"text":"Nautilus Environmental","active":true,"usgs":false}],"preferred":false,"id":948928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soucek, David J. 0000-0002-7741-0193 drieckssoucek@usgs.gov","orcid":"https://orcid.org/0000-0002-7741-0193","contributorId":295408,"corporation":false,"usgs":true,"family":"Soucek","given":"David","email":"drieckssoucek@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":948929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Consbrock, Rebecca A. 0000-0002-5748-7046 rconsbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":3095,"corporation":false,"usgs":true,"family":"Consbrock","given":"Rebecca","email":"rconsbrock@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":948930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roshon, Heather","contributorId":361508,"corporation":false,"usgs":false,"family":"Roshon","given":"Heather","affiliations":[{"id":86306,"text":"Canadian Phycological Culture Centre","active":true,"usgs":false}],"preferred":false,"id":948931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gawronski, Jacob","contributorId":361509,"corporation":false,"usgs":false,"family":"Gawronski","given":"Jacob","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":948932,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sibley, Paul K.","contributorId":361510,"corporation":false,"usgs":false,"family":"Sibley","given":"Paul","middleInitial":"K.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":948933,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prosser, Ryan S.","contributorId":361511,"corporation":false,"usgs":false,"family":"Prosser","given":"Ryan","middleInitial":"S.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":948934,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274275,"text":"70274275 - 2025 - Nocardia cyriacigeorgica in a Mallard (Anas platyrhynchos) from Arizona, USA","interactions":[],"lastModifiedDate":"2026-03-25T14:50:06.306843","indexId":"70274275","displayToPublicDate":"2025-07-14T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9113,"text":"Pathogens","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Nocardia cyriacigeorgica in a Mallard (Anas platyrhynchos) from Arizona, USA","title":"Nocardia cyriacigeorgica in a Mallard (Anas platyrhynchos) from Arizona, USA","docAbstract":"Nocardia spp. are opportunistic pathogens of humans, domestic animals, and wildlife that can cause high levels of morbidity and mortality. Here, we present a unique case of nocardial airsacculitis in a free-ranging mallard (Anas platyrhynchos) from Arizona, USA, and compare it to the hosts, geographic distribution, diagnostic methodology, and infection site of known nocardiosis cases in birds. A gross necropsy, histopathology, and bacterial culture were performed. There were no gross findings associated with the nocardiosis. Histopathology showed multiple granulomas expanding the air sac with intralesional filamentous bacteria that were Grocott’s methenamine silver-positive, Fite–Faraco and Ziehl–Neelsen acid-fast, positive with the Periodic acid–Schiff reaction, and variably Gram-positive. The organism was isolated in culture and identified as Nocardia cyriacigeorgica based on the sequencing of a 463 bp portion of the 16S rRNA gene. While reports of nocardiosis in the class Aves are rare and some are possibly misdiagnosed due to limited diagnostics, cases are reported globally, sometimes resulting in epizootics. More information is needed to understand whether immunosuppression plays a role in disease development in birds. Known to be an emerging pathogen in humans, N. cyriacigeorgica can be considered as a differential diagnosis for pulmonary and potentially cutaneous or disseminated infections in birds.
","language":"English","publisher":"MDPI","doi":"10.3390/pathogens14070698","usgsCitation":"Knowles, S., Berlowski-Zier, B.M., Justice-Allen, A., Bodenstein, B.L., and Lorch, J., 2025, Nocardia cyriacigeorgica in a Mallard (Anas platyrhynchos) from Arizona, USA: Pathogens, v. 14, no. 7, 698, 7 p., https://doi.org/10.3390/pathogens14070698.","productDescription":"698, 7 p.","ipdsId":"IP-177615","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":501597,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/pathogens14070698","text":"Publisher Index Page"},{"id":501461,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","city":"Chandler","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.90438332841596,\n 33.34796903850069\n ],\n [\n -111.90438332841596,\n 33.250000864812534\n ],\n [\n -111.78301758818083,\n 33.250000864812534\n ],\n [\n -111.78301758818083,\n 33.34796903850069\n ],\n [\n -111.90438332841596,\n 33.34796903850069\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":957535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berlowski-Zier, Brenda M. 0000-0002-7922-8352 bberlowski-zier@usgs.gov","orcid":"https://orcid.org/0000-0002-7922-8352","contributorId":4288,"corporation":false,"usgs":true,"family":"Berlowski-Zier","given":"Brenda","email":"bberlowski-zier@usgs.gov","middleInitial":"M.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":957536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Justice-Allen, Anne","contributorId":367726,"corporation":false,"usgs":false,"family":"Justice-Allen","given":"Anne","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":957537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bodenstein, Barbara L. 0000-0001-7946-0103 bbodenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7946-0103","contributorId":189820,"corporation":false,"usgs":true,"family":"Bodenstein","given":"Barbara","email":"bbodenstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":957538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":264594,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":957539,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271920,"text":"70271920 - 2025 - DNA metabarcoding and video camera collars yield different inferences about the summer diet of an arctic ungulate","interactions":[],"lastModifiedDate":"2025-09-24T15:46:38.131894","indexId":"70271920","displayToPublicDate":"2025-07-12T10:42:39","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":"DNA metabarcoding and video camera collars yield different inferences about the summer diet of an arctic ungulate","docAbstract":"The diets of wild ungulates are a foundational component of their ecology, influencing their behavior, body condition, and demography. With changing environmental conditions, there is a significant need to identify important forage items for ungulates, but this has often proved challenging. Declines in several barren-ground caribou herds across the North American Arctic have raised concerns about the influence of climate change on caribou forage conditions. Shifts in plant phenology, biomass, quality, and composition may be influencing caribou diets and subsequently affecting their body condition and demographic rates. Although forage is a primary driver of barren-ground caribou behavior and population dynamics, there is limited recent information about the specific foods they consume, and uncertainty about appropriate methods for identifying those foods. Investigators are increasingly using fecal DNA metabarcoding and video camera collars to assess ungulate diets, but comparative studies of these approaches are lacking. To examine the summer diets of barren-ground caribou, we used both fecal metabarcoding and video camera collars to identify forage used by the Porcupine caribou herd, which spans the Alaska–Yukon border. In 2021, we sampled the diets of adult females by collecting fecal samples and observing collar videos during 4 sampling occasions. We found that caribou consumed very specific forage items, and those items varied markedly across the growing season. Caribou predominantly consumed graminoids and lichens during early summer, and shrubs and forbs later in the season. Metabarcoding and video data provided significantly different estimates of diet for all taxonomic levels we evaluated, and inferences from the two approaches were often disparate. Metabarcoding failed to detect some items frequently consumed in videos, such as lichens, and indicated high use of other items rarely consumed, such as mosses. We found that video data provided greater taxonomic diversity and resolution for vascular plants and lichens, and more closely aligned with past research and biological expectations than data from fecal metabarcoding. Additional research is needed to be able to use these methods to identify the biomass of different forage items consumed.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70319","usgsCitation":"Johnson, H.E., Coulombe, G., Adams, L., Arnison, C., Barboza, P., Kienzler, M., Leacock, W., and Suitor, M.J., 2025, DNA metabarcoding and video camera collars yield different inferences about the summer diet of an arctic ungulate: Ecosphere, v. 16, no. 7, e70319, 19 p., https://doi.org/10.1002/ecs2.70319.","productDescription":"e70319, 19 p.","ipdsId":"IP-162922","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":496161,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70319","text":"Publisher Index Page"},{"id":496019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -144.7923723105851,\n 70.35287221669569\n ],\n [\n -144.7923723105851,\n 67.05263325896493\n ],\n [\n -135.98153547631983,\n 67.05263325896493\n ],\n [\n -135.98153547631983,\n 70.35287221669569\n ],\n [\n -144.7923723105851,\n 70.35287221669569\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Heather E. 0000-0001-5392-7676 hejohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5392-7676","contributorId":205919,"corporation":false,"usgs":true,"family":"Johnson","given":"Heather","email":"hejohnson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coulombe, Gabrielle Lys 0000-0002-6272-9302","orcid":"https://orcid.org/0000-0002-6272-9302","contributorId":350671,"corporation":false,"usgs":true,"family":"Coulombe","given":"Gabrielle Lys","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":949385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":949386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arnison, Colleen","contributorId":350672,"corporation":false,"usgs":false,"family":"Arnison","given":"Colleen","affiliations":[],"preferred":false,"id":949387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barboza, Perry","contributorId":190361,"corporation":false,"usgs":false,"family":"Barboza","given":"Perry","affiliations":[],"preferred":false,"id":949388,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kienzler, Martin","contributorId":350675,"corporation":false,"usgs":false,"family":"Kienzler","given":"Martin","affiliations":[],"preferred":false,"id":949389,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leacock, William","contributorId":192123,"corporation":false,"usgs":false,"family":"Leacock","given":"William","affiliations":[],"preferred":false,"id":949390,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Suitor, Michael J.","contributorId":264206,"corporation":false,"usgs":false,"family":"Suitor","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":33063,"text":"Yukon Department of Environment","active":true,"usgs":false}],"preferred":false,"id":949391,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70269944,"text":"70269944 - 2025 - Observability of eastern massasauga (Sistrurus catenatus) during visual encounter surveys in Michigan, USA","interactions":[],"lastModifiedDate":"2025-09-09T14:46:31.084228","indexId":"70269944","displayToPublicDate":"2025-07-11T10:16:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Observability of eastern massasauga (Sistrurus catenatus) during visual encounter surveys in Michigan, USA","docAbstract":"Visual encounter surveys are commonly used to document site occupancy for the eastern massasauga (Sistrurus catenatus; EMR). Efficacy of surveys depends on visual and auditory cues, with basking behavior and burrow use strongly affecting detection. Our goal was to predict body exposure and probability of burrow use from telemetered EMR to better inform implementation of visual encounter surveys. We collected body exposure and burrow use from 23 EMR (14 females [12 gravid], 9 males) from April through September (i.e., active season) at 2 sites in south central Michigan, USA, 2020–2022. Average body exposure for observed snakes was 42% (SE = 3%) and ranged from 0–100%. Percent body exposure during the active season was positively influenced by air temperature, where body exposure increased from ~25% at ~15°C to ~50% at ~35°C. We did not find an effect of cloud cover, hour of day, humidity, or sex on EMR body exposure. Of 176 observations of EMR during the active season, we found EMR using burrows 20 times (~11% of observations). Julian date and air temperature affected the probability of EMR burrow use early in the active season. Probability of EMR burrow use was <0.10 from the end of May through the end of October and was almost 0.00 after mid-July. The probability of using a burrow was generally low (i.e., <0.25) across the range of air temperatures measured in our study, but approached 0.00 as temperatures exceeded 30°C. We did not find an effect of cloud cover, time of day, humidity, or sex on probability of EMR burrow use. Our results indicated that EMR observability in southern Michigan was greatest when air temperatures were 30°C to 35°C, corresponding to when EMR were visible and aboveground.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1605","usgsCitation":"Rajewski, J., Gray, S., Grabarkiewicz, J., Campa III, H., and Roloff, G., 2025, Observability of eastern massasauga (Sistrurus catenatus) during visual encounter surveys in Michigan, USA: Wildlife Society Bulletin, v. 49, no. 3, e1605, 13 p., https://doi.org/10.1002/wsb.1605.","productDescription":"e1605, 13 p.","ipdsId":"IP-170976","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493731,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":493809,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1605","text":"Publisher Index Page"}],"country":"United States","state":"Michigan","county":"Lenawee County, Oakland County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.80438918671523,\n 45.850110551993396\n ],\n [\n -85.80438918671523,\n 41.734608493785004\n ],\n [\n -82.97556503464779,\n 41.734608493785004\n ],\n [\n -82.97556503464779,\n 45.850110551993396\n ],\n [\n -85.80438918671523,\n 45.850110551993396\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Rajewski, Jillian","contributorId":359158,"corporation":false,"usgs":false,"family":"Rajewski","given":"Jillian","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":945003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Steven Michael 0000-0003-2731-4416","orcid":"https://orcid.org/0000-0003-2731-4416","contributorId":359159,"corporation":false,"usgs":true,"family":"Gray","given":"Steven Michael","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grabarkiewicz, Jeffrey","contributorId":359160,"corporation":false,"usgs":false,"family":"Grabarkiewicz","given":"Jeffrey","affiliations":[{"id":85753,"text":"Michigan Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":945005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campa III, Henry","contributorId":359164,"corporation":false,"usgs":false,"family":"Campa III","given":"Henry","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":945006,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roloff, Gary J.","contributorId":359166,"corporation":false,"usgs":false,"family":"Roloff","given":"Gary J.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":945007,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269409,"text":"70269409 - 2025 - Differential responses of coolwater fishes to a whole-lake reduction of a warmwater thermal guild","interactions":[],"lastModifiedDate":"2025-07-22T14:34:38.773768","indexId":"70269409","displayToPublicDate":"2025-07-11T09:26:48","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":"Differential responses of coolwater fishes to a whole-lake reduction of a warmwater thermal guild","docAbstract":"Climate change is transforming the ecology of lakes at a rapid pace, shifting some lakes toward warmwater-dominant habitats. As a result, warmwater fishes are increasingly becoming more prevalent in lakes where they already existed, altering the patterning and strength of species interactions. Understanding shifting species interactions (e.g., competition, predation), and the role of lake management in shaping these interactions, will be critical for lake stewardship in response to climate change. Here, we present results from an intensive 5-year experimental removal of ~285,000 warmwater fishes from a north-temperate lake. The goal of the experiment was to test whether warmwater fish reduction is effective for rewiring lake food webs to reverse undesirable conditions for coolwater species, leading to increased recruitment and abundance of coolwater fishes. Throughout the experiment, warmwater fishes were resilient to reductions, with biomass declines of 23% averaged across five species. Among coolwater fishes, the top predator walleye showed no biomass response, while yellow perch biomass increased by ~914%. Fish species biomass changes translated to food web shifts, including a yellow perch trophic position decline of 0.4, decreased zooplankton abundances, and increased zoobenthos abundances. Our results highlight differential species responses to a management action aimed at adapting to climate change. Despite similar thermal tolerances, two coolwater species responded differently to removal of warmwater fishes, highlighting the characteristics (e.g., life history strategies, adaptive capacity) that contribute to species resilience. Given the importance of biotic interactions, climate adaptation may need to go beyond a “one-size-fits-all” approach even when species have similar thermal tolerances.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70297","usgsCitation":"Embke, H., Carpenter, S., Beard, Coppola, G., Isermann, D.A., Pedersen, E.J., Rypel, A.L., Sullivan, C., Tunney, T.D., and Vander Zanden, M.J., 2025, Differential responses of coolwater fishes to a whole-lake reduction of a warmwater thermal guild: Ecosphere, v. 16, no. 7, e70297, 19 p., https://doi.org/10.1002/ecs2.70297.","productDescription":"e70297, 19 p.","ipdsId":"IP-162118","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true},{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":492877,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70297","text":"Publisher Index 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Synthetic WBET (2002–2015 annual average) of eight-digit hydrologic unit code (HUC8) basins across the conterminous United States (CONUS), constituting 44 % (887 out of 2035 basins) of CONUS basins, was determined within 2.0 % (RMSE = 12 %) of observed WBET at CONUS and between 1–12 % (RMSE = 3–33 %) across 18 regions in CONUS. With WABE-based bias corrections, the overall annual bias of RSET decreased from 10 % (RMSE = 34 %) to 6 % (RMSE = 26 %) across 37 flux tower sites. The WABE method offers a new approach for RSET accuracy improvement and shows great promise for large area implementations with a potential to yield substantial benefits for building accurate basin water budgets and water management decisions.
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Tianxin","contributorId":333378,"corporation":false,"usgs":false,"family":"Wang","given":"Tianxin","email":"","affiliations":[{"id":79858,"text":"Unversity of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":942827,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Xiao, Xiangming","contributorId":150759,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiangming","affiliations":[{"id":18095,"text":"Center for Spatial Analysis, U of OK, Norman, OK","active":true,"usgs":false}],"preferred":false,"id":942828,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70269017,"text":"70269017 - 2025 - Coelomic foreign bodies in wild-caught Python spp. in the Greater Everglades Ecosystem, Florida, USA","interactions":[],"lastModifiedDate":"2025-07-14T13:55:10.896789","indexId":"70269017","displayToPublicDate":"2025-07-11T08:46:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5071,"text":"NeoBiota","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Coelomic foreign bodies in wild-caught Python spp. in the Greater Everglades Ecosystem, Florida, USA","title":"Coelomic foreign bodies in wild-caught Python spp. in the Greater Everglades Ecosystem, Florida, USA","docAbstract":"Burmese pythons (Python molurus bivittatus) and African rock pythons (Python sebae) have established invasive populations in southern Florida, severely disrupting local ecosystems. We analysed necropsy data from 2,179 pythons captured between 2006 and 2022, revealing nine cases of coelomic foreign bodies, primarily consisting of bird beaks, which presumably entered the coelom following gastrointestinal perforations during prey consumption. Despite the presence of foreign bodies, most examined pythons exhibited no obvious health issues. These findings indicate that the consumption of prey with sharp morphological features, such as wading birds, may not impede the pythons’ survival or health significantly, thereby underscoring their adaptability as apex predators in the Greater Everglades Ecosystem.
","language":"English","publisher":"Pensoft","doi":"10.3897/neobiota.99.148521","usgsCitation":"Anderson, G., Spencer, M.M., Snow, R.W., Currylow, A., Ridgley, F.N., Falk, B., and Yackel Adams, A.A., 2025, Coelomic foreign bodies in wild-caught Python spp. in the Greater Everglades Ecosystem, Florida, USA: NeoBiota, v. 99, p. 363-370, https://doi.org/10.3897/neobiota.99.148521.","productDescription":"8 p.","startPage":"363","endPage":"370","ipdsId":"IP-172668","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":492483,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/neobiota.99.148521","text":"Publisher Index Page"},{"id":492195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.69482352677583,\n 26.360951902745924\n ],\n [\n -81.69482352677583,\n 25.02956367505881\n ],\n [\n -80.17273265693296,\n 25.02956367505881\n ],\n [\n -80.17273265693296,\n 26.360951902745924\n ],\n [\n -81.69482352677583,\n 26.360951902745924\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"99","noUsgsAuthors":false,"publicationDate":"2025-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Gretchen E. 0000-0002-5887-4961","orcid":"https://orcid.org/0000-0002-5887-4961","contributorId":357972,"corporation":false,"usgs":true,"family":"Anderson","given":"Gretchen E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":942920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spencer, McKayla M.","contributorId":301071,"corporation":false,"usgs":false,"family":"Spencer","given":"McKayla","email":"","middleInitial":"M.","affiliations":[{"id":35758,"text":"FWC","active":true,"usgs":false}],"preferred":false,"id":942921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snow, Ray W.","contributorId":76449,"corporation":false,"usgs":false,"family":"Snow","given":"Ray","email":"","middleInitial":"W.","affiliations":[{"id":13415,"text":"Everglades National Park","active":true,"usgs":false}],"preferred":false,"id":942922,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Currylow, Andrea 0000-0003-1631-8964","orcid":"https://orcid.org/0000-0003-1631-8964","contributorId":212747,"corporation":false,"usgs":true,"family":"Currylow","given":"Andrea","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":942923,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ridgley, Frank N. 0000-0002-6819-2577","orcid":"https://orcid.org/0000-0002-6819-2577","contributorId":265398,"corporation":false,"usgs":false,"family":"Ridgley","given":"Frank","email":"","middleInitial":"N.","affiliations":[{"id":54678,"text":"Zoo Miami, Conservation and Research Department, 12400 SW 152nd St., Miami, Florida 33177, USA","active":true,"usgs":false}],"preferred":false,"id":942924,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Falk, Bryan G. 0000-0002-9690-5626","orcid":"https://orcid.org/0000-0002-9690-5626","contributorId":265395,"corporation":false,"usgs":false,"family":"Falk","given":"Bryan G.","affiliations":[{"id":54672,"text":"National Park Service, Everglades National Park, 40001 SR 9336, Homestead, Florida 33034, USA","active":true,"usgs":false}],"preferred":false,"id":942925,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":942926,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268928,"text":"70268928 - 2025 - Chapter three - Global SSEBop actual evapotranspiration modeling and mapping using the VIIRS data","interactions":[],"lastModifiedDate":"2025-08-04T15:58:00.492236","indexId":"70268928","displayToPublicDate":"2025-07-11T08:36:28","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Chapter three - Global SSEBop actual evapotranspiration modeling and mapping using the VIIRS data","docAbstract":"AActual evapotranspiration (ETa) is an essential climate variable that can be used for drought monitoring and water availability assessment because of its close connection with vegetation, soil moisture, and the water cycle. An operational ETa using the Visible Infrared Imaging Radiometer Suite (VIIRS) and global weather datasets was developed through the Simplified Surface Energy Balance Model (SSEBop) model. An operational framework is established with the Famine Early Warning System Network (https://earlywarning.usgs.gov/fews) to generate and update global 1 km ETa at dekadal (∼10 day), monthly, and yearly time scales since February 2012. Modeled ETa at monthly and annual time scales was evaluated using 67 eddy covariance (EC) flux tower stations around the world and water balance-based ETa based on 810 United States eight-digit Hydrologic Unit Code (HUC8) and 18 Global Runoff Data Center (GRDC) basins. The correlation coefficient (r=0.68–0.94) shows relatively strong and consistent performance across the three datasets, capturing the spatiotemporal variability in HUC8 and GRDC basins and EC tower sites reliably. The bias (3%–15%) and root mean square error (RMSE: 13%–34%) showed relatively large errors and high variability among the three datasets. The evaluation results indicate the usefulness of the VIIRS ETa for drought monitoring and early warning applications without further adjustments, while bias-correction and calibration procedures may be required before using the VIIRS ETa data for localized water budget assessments. Availability of gridded actual ETa data from a combination of flux towers and basin-scale ETa is desired to establish bias-correction procedures to improve the absolute accuracy of remote-sensing ETa such as the SSEBop VIIRS operational products.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Evapotranspiration in agro-ecosystems and forestry","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-443-21649-7.00004-3","usgsCitation":"Senay, G.B., Kagone, S., Khand, K., Parrish, G.E., Young, C., and Budde, M., 2025, Chapter three - Global SSEBop actual evapotranspiration modeling and mapping using the VIIRS data, chap. of Evapotranspiration in agro-ecosystems and forestry, p. 77-101, https://doi.org/10.1016/B978-0-443-21649-7.00004-3.","productDescription":"25 p.","startPage":"77","endPage":"101","ipdsId":"IP-175382","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":492123,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":942627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":199091,"corporation":false,"usgs":false,"family":"Kagone","given":"Stefanie","affiliations":[],"preferred":false,"id":942628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Khand, Kul Bikram 0000-0002-1593-1508","orcid":"https://orcid.org/0000-0002-1593-1508","contributorId":259185,"corporation":false,"usgs":false,"family":"Khand","given":"Kul Bikram","affiliations":[{"id":52326,"text":"AFDS, Contractor to USGS ERSOS Center","active":true,"usgs":false}],"preferred":false,"id":942629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parrish, Gabriel Edwin Lee 0000-0003-4078-3516","orcid":"https://orcid.org/0000-0003-4078-3516","contributorId":267751,"corporation":false,"usgs":false,"family":"Parrish","given":"Gabriel","email":"","middleInitial":"Edwin Lee","affiliations":[{"id":55490,"text":"Innovate! Inc., Contractor to the USGS EROS Center","active":true,"usgs":false}],"preferred":false,"id":942630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Claudia 0000-0002-0859-7206","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":192646,"corporation":false,"usgs":false,"family":"Young","given":"Claudia","affiliations":[],"preferred":false,"id":942631,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Budde, Michael 0000-0002-9098-2751 mbudde@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-2751","contributorId":166756,"corporation":false,"usgs":true,"family":"Budde","given":"Michael","email":"mbudde@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":942632,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70269347,"text":"70269347 - 2025 - ‘The fish that stop’: Drivers of historical decline for Pacific cod and implications for modern management in an era of rapidly changing climate","interactions":[],"lastModifiedDate":"2025-07-18T14:46:47.135868","indexId":"70269347","displayToPublicDate":"2025-07-10T09:42:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"‘The fish that stop’: Drivers of historical decline for Pacific cod and implications for modern management in an era of rapidly changing climate","docAbstract":"n the Gulf of Alaska, a series of marine heat waves depleted Pacific cod (Gadus macrocephalus) biomass to the lowest abundance ever recorded and led to the fishery’s closure in 2020. Although the fishery has been productive for decades, this collapse may have historical precedents. Traditional knowledge holders refer to cod as ‘the fish that stop’, and there is a suggested period of decline in the 1930s. Here we conduct a catch reconstruction of the early commercial fishery (1864–1950), confirming a rapid catch decline in the 1920s and 1930s. Next, we evaluate evidence for possible drivers. We document changes to demand and technology that contributed to declining catch. However, we also find both qualitative and quantitative evidence of depletion, suggesting catch declines were not driven entirely by social factors. Overfishing may have contributed to localized catch declines as evidenced by declining catch rates in heavily fished localities. We also find evidence for climate as a driver of regional decline, with the period of catch decline characterized by up to 2°C higher temperatures as compared to the earlier period of high fisheries production. Our analysis underscores the importance of understanding long-term drivers of fisheries productivity and the value of linking fisheries and climate histories.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rstb.2024.0278","usgsCitation":"McClenachan, L., Anderson, B., Addison, J.A., Barbeaux, S.J., Moore, K., Muir, K., Reedy, K., Spies, I.B., and West, C., 2025, ‘The fish that stop’: Drivers of historical decline for Pacific cod and implications for modern management in an era of rapidly changing climate: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 380, no. 1930, 20240278, 11 p., https://doi.org/10.1098/rstb.2024.0278.","productDescription":"20240278, 11 p.","ipdsId":"IP-168376","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":492865,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rstb.2024.0278","text":"Publisher Index Page"},{"id":492537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -171.36734807808014,\n 60.34356991409652\n ],\n [\n -171.36734807808014,\n 49.72417629774134\n ],\n [\n -133.3953187776795,\n 49.72417629774134\n ],\n [\n -133.3953187776795,\n 60.34356991409652\n ],\n [\n -171.36734807808014,\n 60.34356991409652\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"380","issue":"1930","noUsgsAuthors":false,"publicationDate":"2025-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"McClenachan, Loren","contributorId":260606,"corporation":false,"usgs":false,"family":"McClenachan","given":"Loren","email":"","affiliations":[{"id":51887,"text":"Colby College","active":true,"usgs":false}],"preferred":false,"id":943491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Bruce T. 0000-0001-7006-5967","orcid":"https://orcid.org/0000-0001-7006-5967","contributorId":345835,"corporation":false,"usgs":false,"family":"Anderson","given":"Bruce T.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":943492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":943493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barbeaux, Steven J.","contributorId":256680,"corporation":false,"usgs":false,"family":"Barbeaux","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":34572,"text":"NOAA, National Marine Fisheries Service, Alaska Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":943494,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Karoline","contributorId":345836,"corporation":false,"usgs":false,"family":"Moore","given":"Karoline","affiliations":[{"id":82724,"text":"University of Victoria (Canada)","active":true,"usgs":false}],"preferred":false,"id":943495,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muir, Kai","contributorId":345837,"corporation":false,"usgs":false,"family":"Muir","given":"Kai","affiliations":[{"id":82724,"text":"University of Victoria (Canada)","active":true,"usgs":false}],"preferred":false,"id":943496,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reedy, Katherine L.","contributorId":345838,"corporation":false,"usgs":false,"family":"Reedy","given":"Katherine L.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":943497,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spies, Ingrid B.","contributorId":256688,"corporation":false,"usgs":false,"family":"Spies","given":"Ingrid","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":943498,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"West, Catherine F. 0000-0001-5177-9235","orcid":"https://orcid.org/0000-0001-5177-9235","contributorId":345839,"corporation":false,"usgs":false,"family":"West","given":"Catherine F.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":943499,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70269643,"text":"70269643 - 2025 - Identifying conditions associated with outliers produced by three different chlorophyll fluorometers: A comparison of instrumentation and development of correction formulae","interactions":[],"lastModifiedDate":"2025-09-22T15:54:20.408178","indexId":"70269643","displayToPublicDate":"2025-07-10T09:36:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9929,"text":"Limnology & Oceanography: Methods","active":true,"publicationSubtype":{"id":10}},"title":"Identifying conditions associated with outliers produced by three different chlorophyll fluorometers: A comparison of instrumentation and development of correction formulae","docAbstract":"Measurements of chlorophyll concentration reported by fluorometers (fChl) are used in environmental research and monitoring, as inputs to models, and in the interpretation of remote sensing data. Researchers and managers benefit from understanding how to interpret and ensure the accuracy of fChl data collected by in situ fluorometers. Although fChl values produced by different manufacturers are often in agreement with discrete laboratory-derived Chlorophyll a (Chl a) concentration measurements, there are instances in which results significantly differ. Further, when measuring fChl side by side, different fluorometers may report values that differ significantly from each other, despite passing calibration checks prior to deployment. We compared environmental conditions and phytoplankton species composition associated with instances in which fChl measurements from three different fluorometers (EXO2 Total Algae Smart Sensor, YSI Inc./Xylem Inc., Yellow Springs, Ohio; FluoroProbe III, bbe Moldaenke GmbH, Kiel, Germany; WETStar, Sea-Bird Scientific, Bellevue, Washington) were significantly different from laboratory-derived Chl a concentrations. Results indicated that elevated primary productivity, as indicated by high pH, dissolved oxygen, and the ratio of Chl a to phaeophytin, were correlated with underestimated fChl values recorded by each sensor. After removing outliers, we determined unique correction guidance for each of the three sensors and demonstrated that after applying correction formulae, fChl measurements produced by each sensor became directly comparable.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lom3.10705","usgsCitation":"Richardson, E.T., Kraus, T.E., Sturgeon, C.L., O’Donnell, K., and Bergamaschi, B.A., 2025, Identifying conditions associated with outliers produced by three different chlorophyll fluorometers: A comparison of instrumentation and development of correction formulae: Limnology & Oceanography: Methods, v. 23, no. 9, p. 673-687, https://doi.org/10.1002/lom3.10705.","productDescription":"15 p.","startPage":"673","endPage":"687","ipdsId":"IP-168613","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":493096,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":493321,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lom3.10705","text":"Publisher Index Page"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin River Delta, San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.1569041318973,\n 38.781445775867496\n ],\n [\n -122.591638749212,\n 38.781445775867496\n ],\n [\n -122.41414092861007,\n 37.110093240321405\n ],\n [\n -121.1569041318973,\n 37.53901515220369\n ],\n [\n -121.1569041318973,\n 38.781445775867496\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Richardson, Emily T. 0000-0003-2696-8266","orcid":"https://orcid.org/0000-0003-2696-8266","contributorId":304430,"corporation":false,"usgs":true,"family":"Richardson","given":"Emily","email":"","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sturgeon, Crystal Lee 0000-0002-1799-9127","orcid":"https://orcid.org/0000-0002-1799-9127","contributorId":302710,"corporation":false,"usgs":true,"family":"Sturgeon","given":"Crystal","email":"","middleInitial":"Lee","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Donnell, Katy 0000-0003-2323-8970 kodonnell@usgs.gov","orcid":"https://orcid.org/0000-0003-2323-8970","contributorId":5640,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Katy","email":"kodonnell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":944257,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269299,"text":"70269299 - 2025 - Snow refugia: Managing temperate forest canopies to maintain winter conditions","interactions":[],"lastModifiedDate":"2025-07-18T14:40:46.096868","indexId":"70269299","displayToPublicDate":"2025-07-10T09:35:10","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":"Snow refugia: Managing temperate forest canopies to maintain winter conditions","docAbstract":"Climate change is reducing snowpack across temperate regions with negative consequences for human and natural systems. Because forest canopies create microclimates that preserve snowpack, managing forests to support snow refugia—defined here as areas that remain relatively buffered from contemporary climate change over time that sustain snow quality, quantity, and/or timing appropriate to the landscape—could reduce climate change impacts on snow cover, sustaining the benefits of snow. We review the current understanding of how forest canopies affect snow, finding that while closed-conifer forests and snow interactions have been extensively studied in western North America, there are knowledge gaps for deciduous and mixed forests with dormant season leaf loss. We propose that there is an optimal, intermediate zone along a gradient of dormant season canopy cover (DSCC; the proportion of the ground area covered by the canopy during the dormant season), where peak snowpack depth and the potential for snow refugia will be greatest because the canopy-mediated effects of snowpack sheltering (which can preserve snowpack) outweigh those of snowfall interception (which can limit snowpack). As an initial test of our hypothesis, we leveraged snowpack measurements in the northeastern United States spanning the DSCC gradient (low, <25% DSCC; medium, 25%–50% DSCC; and high, >50% DSCC), including from 2 sites in Old Town, Maine; 12 sites in Acadia National Park, Maine; and 30 sites in the northern White Mountains of New Hampshire. Medium DSCC forests (typically mature mixed coniferous–deciduous forests) exhibited the deepest peak snowpacks, likely due to reduced snowfall interception compared to high DSCC forests and reduced snowpack loss compared to low DSCC forests. Many snow accumulation or snowpack studies focus on the contrast between coniferous and open sites, but our results indicate a need for enhanced focus on mixed canopy sites that could serve as snow refugia. Measurements of snowpack depth and timing across a wider range of forest canopies would advance understanding of canopy–snow interactions, expand the monitoring of changing winters, and support management of forests and snow-dependent species in the face of climate change.
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