Wet tropical forests are experiencing rising temperatures and increased frequency and intensity of extreme climatic events, such as cyclones, which can increase rates of soil erosion and surface runoff. Fungal litter mats, formed by agaric decomposer fungi, play a crucial role in stabilizing slopes, preventing erosion, and aiding nutrient cycling; however, little is known about how warming affects litter mat growth and function. We investigated two litter mat-forming fungi, Gymnopus johnstonii and Marasmius aff. crinis-equi, in warmed (+4°C above ambient) and control plots in the Luquillo Experimental Forest, Puerto Rico. Growth and time-to-leaf colonization were monitored over 6 weeks in spring (both species) and summer (G. johnstonii only). We hypothesized that warming would inhibit fungal mat growth and slow leaf colonization, particularly for G. johnstonii since it is drought sensitive. As expected, warming significantly reduced relative growth rates (RGR) in spring, though M. aff. crinis-equi showed slightly higher RGR than G. johnstonii. Leaf colonization was also delayed by 22% in warmed plots, with M. aff. crinis-equi colonizing leaves 4.3 times faster than G. johnstonii. There were significant seasonal differences in response to warming for G. johnstonii, with warming increasing RGR during the consistently wetter summer sampling period. Overall, warming led to significant inhibition of leaf colonization when conditions were dry, whereas there was a trend toward increased colonization in warm and wet conditions. Our findings suggest that warming, combined with drier conditions, is likely to suppress drought-sensitive fungal mat growth, reducing their ability to prevent nutrient and soil loss via erosion.
","language":"English","publisher":"Wiley","doi":"10.1111/btp.70201","usgsCitation":"Puentes, A.E., Lodge, D.J., Ortiz-Iglesias, D.A., Barreto-Vélez, T., Rubio-Lebrón, L.C., Chu, H.P., O'Connell, C.S., Reed, S., and Wood, T.E., 2026, Effects of warming on growth and leaf colonization by litter mat-forming fungi in a wet tropical forest in Puerto Rico: Biotropica, v. 58, no. 3, e70201, 11 p., https://doi.org/10.1111/btp.70201.","productDescription":"e70201, 11 p.","ipdsId":"IP-188043","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":505053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/btp.70201","text":"Publisher Index Page"},{"id":504965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","city":"Luquillo","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.74774638275966,\n 18.39550185948083\n ],\n [\n -65.69933410917939,\n 18.395502069992858\n ],\n [\n -65.6993445535559,\n 18.350550942876936\n ],\n [\n -65.74770534215118,\n 18.350567752943277\n ],\n [\n -65.74774638275966,\n 18.39550185948083\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Puentes, Ari E.","contributorId":371754,"corporation":false,"usgs":false,"family":"Puentes","given":"Ari","middleInitial":"E.","affiliations":[{"id":88213,"text":"Department of Ecology and Evolutionary Biology, University of Tennessee-Knoxville, Knoxville, TN","active":true,"usgs":false}],"preferred":false,"id":962311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lodge, D. 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Ceiba, San Juan, 00926, Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":962314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rubio-Lebrón, Laura C.","contributorId":371757,"corporation":false,"usgs":false,"family":"Rubio-Lebrón","given":"Laura","middleInitial":"C.","affiliations":[{"id":88215,"text":"USDA Forest Service, International Institute of Tropical Forestry, Río Piedras, Puerto Rico, USA; Ciudadanos del Karso, San Juan, Puerto Rico, USA","active":true,"usgs":false}],"preferred":false,"id":962315,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chu, Hieu P.","contributorId":371746,"corporation":false,"usgs":false,"family":"Chu","given":"Hieu","middleInitial":"P.","affiliations":[{"id":88207,"text":"Department of Math, Stats and Computer Science, Macalester College, 1600 Grand Ave, St Paul, MN 55105, United States of America","active":true,"usgs":false}],"preferred":false,"id":962316,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O'Connell, Christine S.","contributorId":371758,"corporation":false,"usgs":false,"family":"O'Connell","given":"Christine","middleInitial":"S.","affiliations":[{"id":88216,"text":"Department of Environmental Studies, Macalester College, St. Paul, MN, USA; Biology Program, Chapman University, Orange, CA, USA","active":true,"usgs":false}],"preferred":false,"id":962317,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":962318,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wood, Tana E.","contributorId":371759,"corporation":false,"usgs":false,"family":"Wood","given":"Tana","middleInitial":"E.","affiliations":[{"id":88220,"text":"USDA Forest Service, International Institute of Tropical Forestry, Río Piedras, Puerto Rico, USA","active":true,"usgs":false}],"preferred":false,"id":962319,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70276395,"text":"70276395 - 2026 - Lowland tropical forests remain a methane sink under warming and long-term hurricane disturbance recovery","interactions":[],"lastModifiedDate":"2026-06-03T14:22:19.038808","indexId":"70276395","displayToPublicDate":"2026-05-23T09:14:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"Lowland tropical forests remain a methane sink under warming and long-term hurricane disturbance recovery","docAbstract":"Methane (CH4) is a potent greenhouse gas, and tropical forests account for roughly one–third of global atmospheric CH4 uptake by soils. Projected warming and more frequent hurricanes in these ecosystems may alter soil CH4 sink strength, as warmer and wetter soils enhance methanogenesis activity. We measured soil CH4 and CO2 efflux during the calendar summer months of 2023 and 2024 alongside continuous records of soil moisture, soil and air temperature, and precipitation in an in–situ warming experiment (TRACE) located in a lowland tropical forest in Puerto Rico, six to seven years after Hurricanes Irma and Maria (2017). The realized warming (∼1.95°C) enhanced soil respiration only in summer 2023 (p < 0.05), but net soil CH4 uptake was invariant in both campaigns (p > 0.05). Instead, sampling day and between–plot variability explained soil CH4 dynamics much more than treatment contrasts. Importantly, CH4 uptake was consistently coupled to CO2 efflux, suggesting tight linkages between methanotrophic and heterotrophic activities. Between treatments, CH4 and CO2 responses to soil temperature variation were less sensitive in warmed plots, which may suggest weak metabolic upregulation under elevated temperatures. Together, these findings indicate that lowland tropical soils remain CH4 sink even under warming and years after hurricane disturbance, with CH4 dynamics driven more by spatial and temporal variability than experimental warming. Long–term, high–resolution monitoring integrating soil biogeochemistry and microbial processes will be critical to determine whether the observed net CH4 uptake signal represents a sustainable or transient response under continued warming and disturbance.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2026.111225","usgsCitation":"Larocca Conte, G., Zuvela, L., Cruz-Perez, R., Barreto-Vélez, T., Becerra-Santillan, N., Campbell, S.F., Chu, H.P., Dam, T., Grullón-Penkova, I.F., Kleit, M., Ortiz-Iglesias, D.A., Rubio-Lebrón, L.C., Cavaleri, M.A., Reed, S., Sihi, D., Wood, T.E., and O'Connell, C.S., 2026, Lowland tropical forests remain a methane sink under warming and long-term hurricane disturbance recovery: Agricultural and Forest Meteorology, v. 386, 111225, 19 p., https://doi.org/10.1016/j.agrformet.2026.111225.","productDescription":"111225, 19 p.","ipdsId":"IP-188749","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":505051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2026.111225","text":"Publisher Index Page"},{"id":504960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico, Sabana Field Research Station","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.66450414218644,\n 18.4096612\n ],\n [\n -65.8397851,\n 18.4096612\n ],\n [\n -65.8397851,\n 18.3\n ],\n [\n -65.66450414218644,\n 18.3\n ],\n [\n -65.66450414218644,\n 18.4096612\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"386","noUsgsAuthors":false,"publicationDate":"2026-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Larocca Conte, Gabriele","contributorId":371740,"corporation":false,"usgs":false,"family":"Larocca Conte","given":"Gabriele","affiliations":[{"id":88199,"text":"Department of Biology, Schmid College of Science and Technology, Chapman University, 1 University Dr, Orange, CA 92866, USA","active":true,"usgs":false}],"preferred":false,"id":962296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zuvela, Lucia","contributorId":371741,"corporation":false,"usgs":false,"family":"Zuvela","given":"Lucia","affiliations":[{"id":88200,"text":"Department of Environmental Studies, Macalester College, 1600 Grand Ave, St Paul, MN 55105, United States of America","active":true,"usgs":false}],"preferred":false,"id":962297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cruz-Perez, Rachel","contributorId":371742,"corporation":false,"usgs":false,"family":"Cruz-Perez","given":"Rachel","affiliations":[{"id":88201,"text":"Department of Ecosystem Science and Management, Penn State, 201 Old Main, University Park, PA 16802, United States of America","active":true,"usgs":false}],"preferred":false,"id":962298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barreto-Vélez, Tatiana","contributorId":371743,"corporation":false,"usgs":false,"family":"Barreto-Vélez","given":"Tatiana","affiliations":[{"id":88204,"text":"U.S.D.A. 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Plant Sciences Initiative, North Carolina State University, Raleigh, NC 27695, United States of America","active":true,"usgs":false}],"preferred":false,"id":962310,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wood, Tana E.","contributorId":197805,"corporation":false,"usgs":false,"family":"Wood","given":"Tana","middleInitial":"E.","affiliations":[],"preferred":false,"id":962320,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"O'Connell, Christine S.","contributorId":371758,"corporation":false,"usgs":false,"family":"O'Connell","given":"Christine","middleInitial":"S.","affiliations":[{"id":88216,"text":"Department of Environmental Studies, Macalester College, St. Paul, MN, USA; Biology Program, Chapman University, Orange, CA, USA","active":true,"usgs":false}],"preferred":false,"id":962321,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70276574,"text":"70276574 - 2026 - Putting weight to work: A review and examples of weight-based indicators in freshwater fish stock assessment","interactions":[],"lastModifiedDate":"2026-06-09T16:17:19.51464","indexId":"70276574","displayToPublicDate":"2026-05-23T09:14:14","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Putting weight to work: A review and examples of weight-based indicators in freshwater fish stock assessment","docAbstract":"Despite being a direct measure of biomass and central to fisheries management, weight-based metrics remain underutilized in freshwater fish stock assessment. Here, we present a concise review of the application of weight in evaluating freshwater fish populations. We examine the historical use of weighing, assess how weight is applied across subdisciplines of freshwater fish science, contrast weight- and length-based approaches, and identify biases in their application. We then synthesize weight-based metrics, indices, and models within four broad categories—population and community weight structure; condition, growth, and efficiency; reproductive potential and production; and yield and exploitation dynamics—highlighting approaches that inform fish ecology, population and community dynamics, and vital rates. We conclude by identifying key opportunities and methodological innovations needed to expand the effective use of weight-based metrics in freshwater fish conservation and management.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqag021","usgsCitation":"Miranda, L.E., Angulo-Valencia, M.A., and Fraser, C.E., 2026, Putting weight to work: A review and examples of weight-based indicators in freshwater fish stock assessment: North American Journal of Fisheries Management, vqag021, 27 p., https://doi.org/10.1093/najfmt/vqag021.","productDescription":"vqag021, 27 p.","ipdsId":"IP-184202","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":505242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":962704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angulo-Valencia, Mirtha A.","contributorId":372064,"corporation":false,"usgs":false,"family":"Angulo-Valencia","given":"Mirtha","middleInitial":"A.","affiliations":[{"id":88247,"text":"Department of Wildlife and Fisheries, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":962705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fraser, Camren E.","contributorId":372065,"corporation":false,"usgs":false,"family":"Fraser","given":"Camren","middleInitial":"E.","affiliations":[{"id":88247,"text":"Department of Wildlife and Fisheries, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":962706,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70276560,"text":"70276560 - 2026 - Colonization of southern flying squirrels (Glaucomys volans) to urban Nebraska: Range expansion or human assisted translocation?","interactions":[],"lastModifiedDate":"2026-06-09T16:34:45.607344","indexId":"70276560","displayToPublicDate":"2026-05-22T09:30:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Colonization of southern flying squirrels (Glaucomys volans) to urban Nebraska: Range expansion or human assisted translocation?","title":"Colonization of southern flying squirrels (Glaucomys volans) to urban Nebraska: Range expansion or human assisted translocation?","docAbstract":"Southern flying squirrels (Glaucomys volans; Linnaeus 1758) were first observed in Lincoln, Nebraska, in 2018, 80 km north of their described range. Given that southern flying squirrels are a species of concern within Nebraska, determining the origin of this new population (natural expansion or pet-trade) garnered interest from state biologists. Further, the recent colonization of Lincoln by southern flying squirrels presents a unique opportunity to investigate the genetic implications of a founding event on a small arboreal mammal. The Lincoln population had genetic characteristics suggestive of a single-event colonization with fewer rare alleles and lower genetic diversity than potential source populations and a high genetic variation between populations. Sample size and absence of other geographically close populations in our data set make it difficult to ascertain the origin of the Lincoln population. Based on shared co-ancestry and membership assignment clustering algorithms, the Lincoln population had greater genetic associations with an individual sampled from the native south-eastern Nebraska population relative to other studied locations, suggesting that Lincoln was colonized by a native population.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10592-026-01792-9","usgsCitation":"Wettschreck, J., Wilson, J.A., Wilson, R.E., May, A., Cary, M., Huebschman, J., and Sonsthagen, S.A., 2026, Colonization of southern flying squirrels (Glaucomys volans) to urban Nebraska: Range expansion or human assisted translocation?: Conservation Genetics, v. 27, 66, 7 p., https://doi.org/10.1007/s10592-026-01792-9.","productDescription":"66, 7 p.","ipdsId":"IP-183335","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":505245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.09447930516654,\n 43.04276398641218\n ],\n [\n -96.3813287,\n 42.8383542\n ],\n [\n -95.40026609068622,\n 39.874800683508454\n ],\n [\n -101.8845684,\n 40.0186153\n ],\n [\n -102.0418976,\n 41.0314411\n ],\n [\n -104.1030619,\n 41.0174538\n ],\n [\n -104.09447930516654,\n 43.04276398641218\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","noUsgsAuthors":false,"publicationDate":"2026-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Wettschreck, Jennifer","contributorId":372023,"corporation":false,"usgs":false,"family":"Wettschreck","given":"Jennifer","affiliations":[{"id":16944,"text":"University of Nebraska-Omaha","active":true,"usgs":false}],"preferred":false,"id":962667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, James A.","contributorId":372024,"corporation":false,"usgs":false,"family":"Wilson","given":"James","middleInitial":"A.","affiliations":[{"id":16944,"text":"University of Nebraska-Omaha","active":true,"usgs":false}],"preferred":false,"id":962668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Robert E.","contributorId":372025,"corporation":false,"usgs":false,"family":"Wilson","given":"Robert","middleInitial":"E.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":962669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"May, Abby","contributorId":372026,"corporation":false,"usgs":false,"family":"May","given":"Abby","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":962670,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cary, Megan","contributorId":372027,"corporation":false,"usgs":false,"family":"Cary","given":"Megan","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":962671,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Huebschman, Jeffrey","contributorId":372028,"corporation":false,"usgs":false,"family":"Huebschman","given":"Jeffrey","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":962672,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":353767,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":962673,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70276280,"text":"70276280 - 2026 - Biochar modulates the dynamics of legacy nutrients in enhancing soil health and crop productivity","interactions":[],"lastModifiedDate":"2026-05-26T14:24:39.646272","indexId":"70276280","displayToPublicDate":"2026-05-22T09:17:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Biochar modulates the dynamics of legacy nutrients in enhancing soil health and crop productivity","docAbstract":"Most major crops in agricultural soils exhibit relatively low nutrient use efficiency for nitrogen (N), phosphorus (P), and potassium (K), often necessitating supplemental nutrient inputs to achieve sustainable yields. Furthermore, the increasing use of biowastes such as compost, manure, and biosolids, which frequently have nutrient ratios that do not match crop requirements, has contributed to excessive nutrient inputs and subsequent accumulation in soils. This situation has been further exacerbated by intensive farming practices involving multiple cropping cycles per season. Overuse of nutrients causes them to accumulate in the soil, creating a legacy nutrient pool. The application of biochar as soil amendment is considered a potential strategy to control legacy nutrients dynamics. The current review inspects the possible value of biochar in modulating legacy nutrient reserves in the soil, thereby increasing the bioavailability of nutrients and improving crop yield. This review discusses the search scope and synthesis approaches for the bibliometric methodological component through rigorous screening process (Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA)), focusing on journal articles published in last 20 years that specifically address legacy nutrient management. The significance of the economic and environmental effects of legacy nutrients and the insufficient knowledge of how biochar application influences nutrient dynamics in soil highlight the necessity for additional research to address current gaps.
","language":"English","publisher":"MDPI","doi":"10.3390/land15060896","usgsCitation":"Kumar, M., Bolan, S., Kumar, R., Gupta, J., Chen, D., Wu, H., Stackpoole, S.M., Chandel, N., Mukherjee, S., Chandra Garg, M., Mayilswami, S., Siddique, K.H., and Bolan, N., 2026, Biochar modulates the dynamics of legacy nutrients in enhancing soil health and crop productivity: Land, v. 15, no. 6, 896, 38 p., https://doi.org/10.3390/land15060896.","productDescription":"896, 38 p.","ipdsId":"IP-178871","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":504809,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land15060896","text":"Publisher Index Page"},{"id":504694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2026-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Kumar, Manish 0000-0002-1444-5508","orcid":"https://orcid.org/0000-0002-1444-5508","contributorId":371510,"corporation":false,"usgs":false,"family":"Kumar","given":"Manish","affiliations":[{"id":88165,"text":"Amity Institute of Environmental Sciences (AIES), Amity University Uttar Pradesh (AUUP), Noida, India","active":true,"usgs":false}],"preferred":false,"id":961932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolan, Shiv","contributorId":371511,"corporation":false,"usgs":false,"family":"Bolan","given":"Shiv","affiliations":[{"id":88166,"text":"UWA School of Agriculture and Environment, The University of Western Australia, Perth, Western Australia 6009, Australia","active":true,"usgs":false}],"preferred":false,"id":961933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kumar, Rakesh 0000-0001-7264-5682","orcid":"https://orcid.org/0000-0001-7264-5682","contributorId":371512,"corporation":false,"usgs":false,"family":"Kumar","given":"Rakesh","affiliations":[{"id":88167,"text":"Department of Biosystems Engineering, Auburn University, Auburn, Alabama, USA","active":true,"usgs":false}],"preferred":false,"id":961934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gupta, Juhi","contributorId":371513,"corporation":false,"usgs":false,"family":"Gupta","given":"Juhi","affiliations":[{"id":88165,"text":"Amity Institute of Environmental Sciences (AIES), Amity University Uttar Pradesh (AUUP), Noida, India","active":true,"usgs":false}],"preferred":false,"id":961935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Dingjiang","contributorId":371514,"corporation":false,"usgs":false,"family":"Chen","given":"Dingjiang","affiliations":[{"id":88168,"text":"College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China","active":true,"usgs":false}],"preferred":false,"id":961936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wu, Hao","contributorId":254382,"corporation":false,"usgs":false,"family":"Wu","given":"Hao","email":"","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":961937,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":211238,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":961938,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chandel, Nitika","contributorId":371516,"corporation":false,"usgs":false,"family":"Chandel","given":"Nitika","affiliations":[{"id":88171,"text":"School of Agriculture, Shoolini University of Biotechnology and Management Sciences, Solan 173229, India","active":true,"usgs":false}],"preferred":false,"id":961940,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mukherjee, Santanu","contributorId":371515,"corporation":false,"usgs":false,"family":"Mukherjee","given":"Santanu","affiliations":[{"id":88171,"text":"School of Agriculture, Shoolini University of Biotechnology and Management Sciences, Solan 173229, India","active":true,"usgs":false}],"preferred":false,"id":961939,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chandra Garg, Manoj","contributorId":371532,"corporation":false,"usgs":false,"family":"Chandra Garg","given":"Manoj","affiliations":[],"preferred":false,"id":961962,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mayilswami, Srinithi 0000-0002-9480-4522","orcid":"https://orcid.org/0000-0002-9480-4522","contributorId":371517,"corporation":false,"usgs":false,"family":"Mayilswami","given":"Srinithi","affiliations":[{"id":88172,"text":"Practical Environmental technologies Pvt Ltd, Site no. 40/41, Super Garden extension, Vadavalli, Coimbatore, Tamil Nadu, India - 641041","active":true,"usgs":false}],"preferred":false,"id":961941,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Siddique, Kadambot H. 0000-0001-6097-4235","orcid":"https://orcid.org/0000-0001-6097-4235","contributorId":371518,"corporation":false,"usgs":false,"family":"Siddique","given":"Kadambot","middleInitial":"H.","affiliations":[{"id":88173,"text":"The UWA Institute of Agriculture, The University of Western Australia, Perth, Western Australia 6009, Australia","active":true,"usgs":false}],"preferred":false,"id":961942,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bolan, Nanthi 0000-0003-2056-1692","orcid":"https://orcid.org/0000-0003-2056-1692","contributorId":371519,"corporation":false,"usgs":false,"family":"Bolan","given":"Nanthi","affiliations":[{"id":88166,"text":"UWA School of Agriculture and Environment, The University of Western Australia, Perth, Western Australia 6009, Australia","active":true,"usgs":false}],"preferred":false,"id":961943,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70276275,"text":"70276275 - 2026 - Tracking toxins: A pilot investigation of cyanotoxins in north-central Tennessee’s surface waters and wells","interactions":[],"lastModifiedDate":"2026-05-26T14:02:41.487505","indexId":"70276275","displayToPublicDate":"2026-05-22T08:56:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21640,"text":"Toxins","active":true,"publicationSubtype":{"id":10}},"title":"Tracking toxins: A pilot investigation of cyanotoxins in north-central Tennessee’s surface waters and wells","docAbstract":"Cyanobacterial toxins (cyanotoxins) threaten aquatic ecosystems and human health, yet the factors influencing their production and distribution in freshwater remain unclear. In north-central Tennessee, nutrient-rich runoff from agricultural and urban areas, combined with a karst landscape that supports drinking and recreational water use, heightens the need to understand cyanotoxin behavior. To examine cyanotoxin patterns, the U.S. Geological Survey and the Tennessee Department of Environment and Conservation monitored 18 sites, including two wells under the influence of surface water, every two weeks from September 2022 to November 2024. At least one cyanotoxin was detected at all sites, with the highest concentrations in deep reservoirs and lower levels in shallow systems. Most detections occurred during summer and fall, aligning with high temperatures and rapid-onset drought. Statistical analysis indicated that increased specific conductivity and pH raised the likelihood of detecting total microcystin, likely resulting from drought conditions and nutrient-laden runoff. Additionally, dissolved microcystin showed an inverse relationship with Cumberland River water levels, and principal component analysis showed that Secchi depth, chlorophyll a, pH, temperature, and conductivity explained most water quality variability. These results help increase understanding of cyanotoxin distribution and associated water quality conditions during detections to guide future freshwater cyanotoxin monitoring studies.
","language":"English","publisher":"MDPI","doi":"10.3390/toxins18060239","usgsCitation":"Hill, K., Jaegge, A., Moore, D.M., and Byl, T.D., 2026, Tracking toxins: A pilot investigation of cyanotoxins in north-central Tennessee’s surface waters and wells: Toxins, v. 18, no. 6, 239, 27 p., https://doi.org/10.3390/toxins18060239.","productDescription":"239, 27 p.","ipdsId":"IP-176988","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":504806,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/toxins18060239","text":"Publisher Index Page"},{"id":504691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.2198843,\n 36.3818454\n ],\n [\n -86.7499179,\n 36.3854487\n ],\n [\n -86.2620481,\n 36.3782418\n ],\n [\n -86.25309635196582,\n 35.83582592918192\n ],\n [\n -87.22212220072319,\n 35.83582592918192\n ],\n [\n -87.2198843,\n 36.3818454\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"6","noUsgsAuthors":false,"publicationDate":"2026-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Hill, Kristi Lynn 0000-0003-2771-0849","orcid":"https://orcid.org/0000-0003-2771-0849","contributorId":296396,"corporation":false,"usgs":true,"family":"Hill","given":"Kristi Lynn","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaegge, Andrea 0000-0002-4414-2620","orcid":"https://orcid.org/0000-0002-4414-2620","contributorId":371504,"corporation":false,"usgs":false,"family":"Jaegge","given":"Andrea","affiliations":[{"id":81602,"text":"Tennessee Department of Environment and Conservation","active":true,"usgs":false}],"preferred":false,"id":961925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Devin M.","contributorId":371505,"corporation":false,"usgs":false,"family":"Moore","given":"Devin","middleInitial":"M.","affiliations":[{"id":13370,"text":"Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":961926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byl, Thomas D. 0000-0001-6907-9149 tdbyl@usgs.gov","orcid":"https://orcid.org/0000-0001-6907-9149","contributorId":583,"corporation":false,"usgs":true,"family":"Byl","given":"Thomas","email":"tdbyl@usgs.gov","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961927,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70276302,"text":"70276302 - 2026 - Waves, watersheds, and sediment in a coral reef embayment: Towards parsimonious models of accumulation and composition","interactions":[],"lastModifiedDate":"2026-05-27T14:03:54.905785","indexId":"70276302","displayToPublicDate":"2026-05-22T08:55:10","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Waves, watersheds, and sediment in a coral reef embayment: Towards parsimonious models of accumulation and composition","docAbstract":"High sedimentation rates can damage coral reef ecosystems. Sedimentation rates are controlled by both sediment loads from watersheds and resuspension by waves and associated circulation patterns, but the outcomes are system specific and difficult to predict. The percent terrigenous (non-organic and non-carbonaceous) material in sediment is also often used as an indicator of watershed influence, but its dynamics are poorly understood. Sediment accumulation rates, particle size, and percent terrigenous were monitored quasi-monthly for one year (March 2014-April 2015) at nine sites in a coral reef-fringed embayment in American Samoa, where an aggregate quarry had increased sediment loads to the coast but mitigation reduced loads during the monitored period. Gross and net sediment accumulation rates were measured using sediment traps and SedPods (pods), respectively. Gross accumulation rates exceeded thresholds for impacts on coral health during at least one collection period at most sites, with more exceedances on the northern reef where water residence times and sediment availability are higher and corals show signs of sediment stress. Percent terrigenous of coarse sediment was higher in the traps and pods compared with the surrounding benthic sediment, indicating that some of the terrigenous sediment was advected through the bay without accumulating on the reef. The 95th percentile of hourly wave energy density (E95) taken from a global wave model (WaveWatch 3) was the best predictor of gross accumulation rates of both total and carbonate sediment in a log-log regression at most (n = 6) sites (R2 range 0.72-0.92), indicating a strong role of resuspension of benthic sediment. Gross accumulation rates of terrigenous sediment were not correlated with E95 and only correlated with SSY at the site nearest the stream mouth, indicating that most terrigenous sediment was not from resuspended benthic material but rather from a consistent watershed source. Percent terrigenous decreased with increasing wave energy due to high accumulation rates of carbonates during periods of high wave energy. Detection of the impact of sediment mitigation at the quarry on sediment accumulation was complicated by low wave energy in the period following mitigation. The use of gross accumulation rates and percent terrigenous as indicators of the magnitude and sources of sediment accumulation over time needs to account for wave-induced resuspension, which can be modelled with a simple power function using inputs from a global wave model.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2026.109952","usgsCitation":"Biggs, T., Messina, A., and Storlazzi, C.D., 2026, Waves, watersheds, and sediment in a coral reef embayment: Towards parsimonious models of accumulation and composition: Estuarine, Coastal and Shelf Science, no. 339, 109952, 16 p., https://doi.org/10.1016/j.ecss.2026.109952.","productDescription":"109952, 16 p.","ipdsId":"IP-176787","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504811,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2026.109952","text":"Publisher Index Page"},{"id":504731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"American Samoa, Faga'alu Bay, Tutuila Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -170.686,\n -14.286\n ],\n [\n -170.674,\n -14.286\n ],\n [\n -170.674,\n -14.296\n ],\n [\n -170.686,\n -14.296\n ],\n [\n -170.686,\n -14.286\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"339","noUsgsAuthors":false,"publicationDate":"2026-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Biggs, Trent","contributorId":208268,"corporation":false,"usgs":false,"family":"Biggs","given":"Trent","affiliations":[],"preferred":false,"id":962036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Messina, Alex","contributorId":174670,"corporation":false,"usgs":false,"family":"Messina","given":"Alex","email":"","affiliations":[],"preferred":false,"id":962037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":962038,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70276333,"text":"70276333 - 2026 - High-resolution transboundary vegetation community maps of the Sonoran and Mojave Desert ecoregion to support critical landscape conservation planning and habitat management needs","interactions":[],"lastModifiedDate":"2026-05-29T14:04:44.858669","indexId":"70276333","displayToPublicDate":"2026-05-22T08:54:15","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"title":"High-resolution transboundary vegetation community maps of the Sonoran and Mojave Desert ecoregion to support critical landscape conservation planning and habitat management needs","docAbstract":"We produced a 30-m resolution binational land cover map of Bird Conservation Region 33 (BCR 33) for the U.S. North American Bird Conservation Initiative. The region covers large portions of the Sonoran and Mojave Deserts. The map can support the U.S. Fish and Wildlife Service (FWS) Migratory Bird Program’s recovery planning efforts and constitutes the first known binational land cover dataset spanning sections of the United States–Mexico border and using a consistent classification system for both countries. The mapped region includes 152 distinct land cover classes, covering a total area of 38,421,453 ha (148,345 mi2), of which 13,148,345 ha (52,706 mi2) are located in Mexico and 24,770,640 ha (95,639 mi2) in the United States.
We primarily used Landsat 8 (OLI) imagery, supplemented by limited ground surveys from two field campaigns, drone-based aerial data, and existing vegetation classification frameworks from both countries. The classification applied a data-fusion approach integrating 30-m Landsat 8 imagery, decadal phenology metrics from vegetation indices, and a random forest model trained mainly with datasets from a comprehensive national mapping project from the U.S. Geological Survey (USGS) GAP Analysis Project (GAP) and federal wildland fire agencies’ Landscape Fire and Resource Management Planning Tools (LANDFIRE) (GAP/LANDFIRE) [United States side] and the National Institute of Statistics and Geography (INEGI) [Mexico side] as well as land cover maps and opportunistic open-access and field observations.
Mapping of the full BCR 33 region was carried out in two phases: 1) Phase I, the prototype map, covered a smaller portion of the transboundary area and identified 31 land cover classes, and 2) Phase II, the full BCR 33 map (refer to Figure 1), which resulted in 152 land cover classes. Using a Random Forest classifier, we achieved an overall prediction accuracy of 92% for the Phase I map and 87% for the Phase II full region map. This slight decrease can be attributed to working on a larger, more complex area with a greater number of land cover classes. No formal validation was conducted, aside from using a subset of the collected field observations and training data to assess model performance during and after training. The training sites were further verified using Google Earth (Google, 2026) imagery. Two undergraduate students who worked for over a year visually inspected imagery and open access public images to confirm each training site during model training using in-house developed, online, visual tools. A portion of this field training data was reserved for model validation, and the corresponding results are to be presented in later sections.
The project developed an end-to-end, medium- and fine-resolution remote sensing–based data fusion mapping approach. This effort produced a map (Nagler et al., 2025) and the online tools to support a dynamic, live, online map for visualizing the transboundary vegetation communities in BCR 33. The toolset is currently hosted by the University of Arizona (UofA) Vegetation Index and Phenology (VIP) Lab to support FWS partners (https://vip.arizona.edu/viplab_data_explorer?LCM_BCR33). The online map is designed to allow rapid updates using new training, validation, or correction data, making it dynamic and maintainable.
The approach we took established a framework for rapid updating and correction of land cover maps, as the model can be quickly retrained with new field observations, updated training data, or other sources. This enables dynamic mapping and change detection of the region’s vegetation. This framework is an advance in data fusion and crowdsourced mapping of complex, vulnerable regions, providing support to regional stakeholders and the wider user community.
This transboundary map can inform the protection, conservation, and restoration of vegetation, habitat, and ecosystems, particularly for threatened and endangered species across the two nations using consistent and harmonized binational mapping systems. Beyond supporting land management decisions and stakeholders in the transboundary desert ecoregions, this BCR 33 mapping effort establishes a foundation for future rapid, low-cost, cross-border land cover mapping that can benefit and advance ecosystem management.
","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Nagler, P.L., Duberstein, J., Broska, J., Didan, K., and Traphagen, M.B., 2026, High-resolution transboundary vegetation community maps of the Sonoran and Mojave Desert ecoregion to support critical landscape conservation planning and habitat management needs: Cooperator Report, Report: 79 p.; Appendix.","productDescription":"Report: 79 p.; Appendix","ipdsId":"IP-170033","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504862,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://iris.fws.gov/APPS/ServCat/Reference/Profile/178257"}],"country":"Mexico, United States","state":"Arizona, Baja California, California, Nevada, Sinaloa, Sonora","otherGeospatial":"Sonoran and Mojave Desert ecoregion","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.6219144,\n 24.5008461\n ],\n [\n -108.3403468,\n 26.2416244\n ],\n [\n -109.9404918,\n 28.3885241\n ],\n [\n -110.7895483,\n 33.3745204\n ],\n [\n -114.3490544,\n 37.6779633\n ],\n [\n -118.0391846,\n 38.0389224\n ],\n [\n -118.8882411,\n 35.5285396\n ],\n [\n -115.7206072,\n 32.1940187\n ],\n [\n -115.0674868,\n 30.2674399\n ],\n [\n -114.7409266,\n 30.2674399\n ],\n [\n -114.6429586,\n 31.6118369\n ],\n [\n -113.597966,\n 31.2775142\n ],\n [\n -113.2060937,\n 30.8299019\n ],\n [\n -112.8142215,\n 29.7584522\n ],\n [\n -111.6059488,\n 28.3885241\n ],\n [\n -111.0507964,\n 27.9278682\n ],\n [\n -110.4979306,\n 27.216354\n ],\n [\n -109.8448102,\n 26.7215756\n ],\n [\n -109.2570019,\n 26.3417564\n ],\n [\n -109.3549699,\n 25.7843897\n ],\n [\n -107.6219144,\n 24.5008461\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":363785,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","middleInitial":"L","affiliations":[],"preferred":true,"id":962127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duberstein, Jennie N.","contributorId":342635,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jennie N.","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":962128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Broska, James","contributorId":371614,"corporation":false,"usgs":false,"family":"Broska","given":"James","affiliations":[{"id":88192,"text":"Assistant Regional Director, Science Applications, Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":962129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Didan, Kamel","contributorId":292780,"corporation":false,"usgs":false,"family":"Didan","given":"Kamel","affiliations":[{"id":62999,"text":"Biosystems Engineering, University of Arizona, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":962131,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Traphagen, Myles B.","contributorId":299076,"corporation":false,"usgs":false,"family":"Traphagen","given":"Myles","email":"","middleInitial":"B.","affiliations":[{"id":64759,"text":"Wildlands Network","active":true,"usgs":false}],"preferred":false,"id":962130,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70276289,"text":"70276289 - 2026 - Rearing method has limited effect on post-release movement of reintroduced age-0 Lake Sturgeon","interactions":[],"lastModifiedDate":"2026-06-03T14:37:38.515382","indexId":"70276289","displayToPublicDate":"2026-05-22T08:41:44","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Rearing method has limited effect on post-release movement of reintroduced age-0 Lake Sturgeon","docAbstract":"Overfishing, habitat loss, and pollution caused the extirpation of Lake Sturgeon (Acipenser fulvescens) throughout much of the Great Lakes. A Lake Sturgeon reintroduction program using two rearing strategies began in 2018 in the Maumee River, a tributary of Lake Erie. We assessed the movement of streamside or traditionally reared age-0 Lake Sturgeon using acoustic telemetry to determine if rearing strategy affected river residency, movement, and the habitat area used. Tagged sturgeon generally left the Maumee River for Lake Erie on average 3–47 days after stocking and spent most of their time in the western basin of Lake Erie. The majority of sturgeon moved through nearshore areas along the south shore of Lake Erie. While we found no differences in post-stocking movements or habitat area used between the two rearing strategies, understanding how older life stages respond to rearing strategy is needed. Adding upstream stocking sites, using source water to raise eggs or larvae if excessive straying becomes evident, and increased acoustic receiver coverage are options to facilitate and evaluate successful recovery of Lake Sturgeon.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2025-0328","usgsCitation":"McKenna, J.R., Chiotti, J.A., Vandergoot, C.S., Kraus, R., Faust, M.D., Slagle, Z.J., Weimer, E.J., Cross, M.D., and Hintz, W.D., 2026, Rearing method has limited effect on post-release movement of reintroduced age-0 Lake Sturgeon: Canadian Journal of Fisheries and Aquatic Sciences, v. 83, 13 p., https://doi.org/10.1139/cjfas-2025-0328.","productDescription":"13 p.","ipdsId":"IP-183390","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":504963,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70276289/images/"},{"id":504962,"rank":3,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70276289/full"},{"id":504961,"rank":2,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70276289/70276289.XML"},{"id":504730,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Lake Erie, Maumee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.27194190387294,\n 41.7578525\n ],\n [\n -82.1528812,\n 41.7578525\n ],\n [\n -82.1528812,\n 41.2309989857614\n ],\n [\n -84.27194190387294,\n 41.2309989857614\n ],\n [\n -84.27194190387294,\n 41.7578525\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","noUsgsAuthors":false,"publicationDate":"2026-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"McKenna, Jorden R.","contributorId":371533,"corporation":false,"usgs":false,"family":"McKenna","given":"Jorden","middleInitial":"R.","affiliations":[{"id":88176,"text":"US-FWS","active":true,"usgs":false}],"preferred":false,"id":961980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chiotti, Justin A.","contributorId":371534,"corporation":false,"usgs":false,"family":"Chiotti","given":"Justin","middleInitial":"A.","affiliations":[{"id":88176,"text":"US-FWS","active":true,"usgs":false}],"preferred":false,"id":961981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandergoot, Christopher S.","contributorId":371535,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher","middleInitial":"S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":961982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faust, Matthew D.","contributorId":371536,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","middleInitial":"D.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":961984,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slagle, Zak J.","contributorId":371537,"corporation":false,"usgs":false,"family":"Slagle","given":"Zak","middleInitial":"J.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":961985,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weimer, Eric J.","contributorId":371538,"corporation":false,"usgs":false,"family":"Weimer","given":"Eric","middleInitial":"J.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":961986,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cross, Matthew D.","contributorId":371539,"corporation":false,"usgs":false,"family":"Cross","given":"Matthew","middleInitial":"D.","affiliations":[{"id":85203,"text":"Toledo Zoo","active":true,"usgs":false}],"preferred":false,"id":961987,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hintz, William D.","contributorId":371540,"corporation":false,"usgs":false,"family":"Hintz","given":"William","middleInitial":"D.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":961988,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70276490,"text":"70276490 - 2026 - Patterns of rift basin development and the fidelity of the subsidence record: Insights through Bayesian modeling of rapid tectonic subsidence in a Rio Grande rift basin, Socorro, NM, U.S.A","interactions":[],"lastModifiedDate":"2026-06-08T15:15:42.270728","indexId":"70276490","displayToPublicDate":"2026-05-22T08:08:27","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of rift basin development and the fidelity of the subsidence record: Insights through Bayesian modeling of rapid tectonic subsidence in a Rio Grande rift basin, Socorro, NM, U.S.A","docAbstract":"","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2026.120097","usgsCitation":"Smith, T.M., Gaynor, S.P., Keller, B.C., Curry, M.E., Schoene, B., and Lapen, T.J., 2026, Patterns of rift basin development and the fidelity of the subsidence record: Insights through Bayesian modeling of rapid tectonic subsidence in a Rio Grande rift basin, Socorro, NM, U.S.A: Earth and Planetary Science Letters, v. 689, 120097, 16 p., https://doi.org/10.1016/j.epsl.2026.120097.","productDescription":"120097, 16 p.","ipdsId":"IP-182398","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":505165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","city":"Socorro","otherGeospatial":"Magdalena Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.29774870594973,\n 34.1308536513548\n ],\n [\n -107.04756637747504,\n 34.1308536513548\n ],\n [\n -107.04756637747504,\n 33.87406748593881\n ],\n [\n -107.29774870594973,\n 33.87406748593881\n ],\n [\n -107.29774870594973,\n 34.1308536513548\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"689","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Tyson Michael 0000-0003-2834-3526","orcid":"https://orcid.org/0000-0003-2834-3526","contributorId":330276,"corporation":false,"usgs":true,"family":"Smith","given":"Tyson","email":"","middleInitial":"Michael","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":962490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaynor, Sean Patrick 0000-0002-8353-511X","orcid":"https://orcid.org/0000-0002-8353-511X","contributorId":346264,"corporation":false,"usgs":true,"family":"Gaynor","given":"Sean","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":962491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keller, Brenhin C.","contributorId":371867,"corporation":false,"usgs":false,"family":"Keller","given":"Brenhin","middleInitial":"C.","affiliations":[{"id":88229,"text":"Dartmouth College, Department of Earth Science","active":true,"usgs":false}],"preferred":false,"id":962492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curry, Magdalena E.","contributorId":371868,"corporation":false,"usgs":false,"family":"Curry","given":"Magdalena","middleInitial":"E.","affiliations":[{"id":88230,"text":"North Carolina State University, Marine, Earth and Atmospheric Sciences","active":true,"usgs":false}],"preferred":false,"id":962493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schoene, Blair","contributorId":353005,"corporation":false,"usgs":false,"family":"Schoene","given":"Blair","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":962494,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lapen, Tom J.","contributorId":371872,"corporation":false,"usgs":false,"family":"Lapen","given":"Tom","middleInitial":"J.","affiliations":[{"id":88233,"text":"University of Houston, Department of Earth and Atmospheric Sciences","active":true,"usgs":false}],"preferred":false,"id":962495,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276416,"text":"70276416 - 2026 - Effects of fipronil bait pellets on two cricetid species: Potential implications for plague mitigation and wildlife conservation","interactions":[],"lastModifiedDate":"2026-06-04T14:58:03.2037","indexId":"70276416","displayToPublicDate":"2026-05-22T07:47:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2025,"text":"International Journal for Parasitology: Parasites and Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Effects of fipronil bait pellets on two cricetid species: Potential implications for plague mitigation and wildlife conservation","docAbstract":"
We evaluated the effects of fipronil bait pellets on two cricetids that commonly occupy colonies of black-tailed prairie dogs (Cynomys ludovicianus; BTPDs): western deer mice (Peromyscus sonoriensis) and northern grasshopper mice (Onychomys leucogaster). In one experiment, bait pellets (0.96 mg fipronil/bait) were applied at 75 baits/ha to three 1.44-ha plots on a BTPD colony. Mouse abundance declined by 70% from before to 6-10 d after treatment. In a second experiment, bait pellets (0.46 or 1.52 mg fipronil/bait) were applied at 125 baits/ha to four plots (0.85-1.86 ha) on two BTPD colonies; two non-treated plots were baselines (1.09 and 2.06 ha). From before to 11-15 d after treatment, mouse abundance declined by 51%- 67% on the treated plots vs. a decline of 9% on the non-treated plots. Mouse survival from before to 11-15 d after treatment was 51% lower on the treated plots. In a third experiment, bait pellets (0.84 mg fipronil/bait) were applied at 125 baits/acre on two 1.44-ha plots on a BTPD colony; two 1.44-ha non-treated plots were baselines. Mouse survival from before to 30-44 d after treatment was 45% lower on the treated plots; the abundance of deer mice on the treated plots remained similar from before to 30-44 d after treatment, perhaps due to juvenile recruitment and/or immigration. In a laboratory experiment, 33 deer mice offered one bait pellet (0.86 mg fipronil/bait) consumed 27% of their bait, on average (range = 0-100%). Over 3 d, deer mouse mortality was estimated at 53%; mortality increased with fipronil dose, which averaged 11 mg fipronil/kg body mass (range = 3-46 mg/kg). Brain samples were available from 31 deer mice; all tested positive for fipronil sulfone, the primary mammalian metabolite of fipronil, at 19 to 61,205 ng fipronil sulfone/g. Additional experiments could determine if these findings scale up to larger landscapes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijppaw.2026.101239","usgsCitation":"Eads, D., Matchett, M.R., Livieri, T.M., Bowen, R.A., Hartwig, A.E., Porter, S., Wright, M.L., Fly, J., Hartlaub, M., Dobesh, P., Roghair, P., Childers, E., Hughes, J.P., Hladik, M.L., Dooley, G.P., Smith, B.J., LaCasse, R.A., Bly, K., and Biggins, D.E., 2026, Effects of fipronil bait pellets on two cricetid species: Potential implications for plague mitigation and wildlife conservation: International Journal for Parasitology: Parasites and Wildlife, v. 30, 101239, 8 p., https://doi.org/10.1016/j.ijppaw.2026.101239.","productDescription":"101239, 8 p.","ipdsId":"IP-185087","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":505056,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2026.101239","text":"Publisher Index Page"},{"id":504996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Badlands National Park, Buffalo Gap National Grassland, Conata Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.04267080008232,\n 43.74864279609875\n ],\n [\n -102.52658012683477,\n 43.74965920358849\n ],\n [\n -102.52641374070147,\n 43.00190734602177\n ],\n [\n -104.04407516751215,\n 43.00194275417252\n ],\n [\n -104.04267080008232,\n 43.74864279609875\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eads, David A.","contributorId":198976,"corporation":false,"usgs":false,"family":"Eads","given":"David A.","affiliations":[],"preferred":false,"id":962370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matchett, Marc R.","contributorId":365360,"corporation":false,"usgs":false,"family":"Matchett","given":"Marc","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":962371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Livieri, Travis M.","contributorId":279912,"corporation":false,"usgs":false,"family":"Livieri","given":"Travis","middleInitial":"M.","affiliations":[{"id":6753,"text":"Prairie Wildlife Research","active":true,"usgs":false}],"preferred":false,"id":962372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowen, Richard A.","contributorId":297376,"corporation":false,"usgs":false,"family":"Bowen","given":"Richard","middleInitial":"A.","affiliations":[{"id":64386,"text":"Colorado State University, Department of Biomedical Sciences, 3107 Rampart Road, Fort Collins, Colorado 80523 USA","active":true,"usgs":false}],"preferred":false,"id":962373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartwig, Airn E.","contributorId":297373,"corporation":false,"usgs":false,"family":"Hartwig","given":"Airn","middleInitial":"E.","affiliations":[{"id":64383,"text":"Colorado State University, Department of Biomedical Sciences, 3107 Rampart Road, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":962374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Porter, Stephanie","contributorId":371801,"corporation":false,"usgs":false,"family":"Porter","given":"Stephanie","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":962375,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wright, Mary L.","contributorId":371802,"corporation":false,"usgs":false,"family":"Wright","given":"Mary","middleInitial":"L.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":962376,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fly, Jason","contributorId":299225,"corporation":false,"usgs":false,"family":"Fly","given":"Jason","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":962377,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hartlaub, Madisen","contributorId":371803,"corporation":false,"usgs":false,"family":"Hartlaub","given":"Madisen","affiliations":[{"id":6753,"text":"Prairie Wildlife Research","active":true,"usgs":false}],"preferred":false,"id":962378,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dobesh, Phillip","contributorId":279889,"corporation":false,"usgs":false,"family":"Dobesh","given":"Phillip","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":962379,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Roghair, Paul","contributorId":299231,"corporation":false,"usgs":false,"family":"Roghair","given":"Paul","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":962380,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Childers, Eddie","contributorId":279890,"corporation":false,"usgs":false,"family":"Childers","given":"Eddie","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":962381,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hughes, John P.","contributorId":317320,"corporation":false,"usgs":false,"family":"Hughes","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":962382,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962383,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Dooley, Gregory P.","contributorId":347021,"corporation":false,"usgs":false,"family":"Dooley","given":"Gregory","email":"","middleInitial":"P.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":962384,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Smith, Brian J.","contributorId":223906,"corporation":false,"usgs":false,"family":"Smith","given":"Brian","middleInitial":"J.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":962385,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"LaCasse, Rachel A.","contributorId":371816,"corporation":false,"usgs":false,"family":"LaCasse","given":"Rachel","middleInitial":"A.","affiliations":[{"id":88225,"text":"National Insitute of Health","active":true,"usgs":false}],"preferred":false,"id":962386,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Bly, Kristy","contributorId":279935,"corporation":false,"usgs":false,"family":"Bly","given":"Kristy","email":"","affiliations":[{"id":37767,"text":"World Wildlife Fund","active":true,"usgs":false}],"preferred":false,"id":962387,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Biggins, Dean E.","contributorId":367942,"corporation":false,"usgs":false,"family":"Biggins","given":"Dean","middleInitial":"E.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":962388,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70276267,"text":"gip266 - 2026 - Critical minerals memory match game","interactions":[],"lastModifiedDate":"2026-05-22T14:41:55.858947","indexId":"gip266","displayToPublicDate":"2026-05-21T18:00:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"266","displayTitle":"Critical Minerals Memory Match Game","title":"Critical minerals memory match game","docAbstract":"An educational information packet about the 2025 List of Critical Minerals, which includes a memory match game about select critical minerals and how they are used.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/gip266","usgsCitation":"Olinger, D.A., 2026, Critical minerals memory match game: U.S. Geological Survey General Information Product 266, 4 p., https://doi.org/10.3133/gip266.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-186695","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":504592,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/266/coverthb.jpg"},{"id":504593,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/266/gip266.pdf","text":"Report","size":"7.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 266"}],"contact":"Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
Box 25046, Mail Stop 973
Denver, CO 80225-0046
People are exposed to mercury (Hg) through the consumption of fish. State and federal governments provide broad, often-generalized food safety guidance to reduce exposure; however, numerous rural fishing areas lack testing and location- or species-specific guidance. The aim of this study was to provide tangible, visible, or easily measured characteristics of Lake Trout Salvelinus namaycush that could convey information on Hg exposure to people harvesting and consuming fish where no location-specific guidance exists.
We investigated potential indicators of Lake Trout total Hg (THg) concentrations in muscle across 10 lakes in Alaska's national parks. Potential indicators, including lake, lake zone (i.e., littoral, pelagic, profundal), fish length, head size, body condition, and general appearance, were evaluated by competing linear mixed-effects models.
Lake Trout THg concentrations ranged widely from 22 to 1,306 ng/g wet weight. Much of the variation (48%) in THg concentrations was attributed to differences among individual lakes, but the interaction of the fish's lake zone, body length, and head size accounted for an additional 21%. Predicted THg concentrations increased with Lake Trout length and head : body proportion, but the rate of THg concentration increase with length varied by head : body proportion and lake zone.
Given the overwhelming evidence of high lake-to-lake variability in Lake Trout THg concentrations, we find support for use of lake-specific guidance when data are available. When lake-specific THg concentrations are not available, the best potential way to reduce exposure is to harvest and consume Lake Trout with mean predicted THg concentrations that are within state and federal safe consumption guidelines. This included Lake Trout from surface waters (i.e., pelagic or littoral zone) that are ≤70 cm in length; if harvesting fish from deep waters (i.e., profundal zone), lower THg concentrations were found in Lake Trout with heads ≤25% of their body length. The indicators—lake zone, length, and head size—of Lake Trout THg concentrations can provide harvesters with additional information in the absence of data for specific lakes.
Translocations have been widely used to restore and conserve bighorn sheep (Ovis canadensis) populations in North America. Some translocations have been successful, but many populations remain small and genetically isolated. Population structure can influence the viability and long-term success of reintroductions. Social ungulates often function as interconnected subpopulations (metapopulations); however, few studies evaluate subpopulation sizes, connectivity, and genetic diversity within metapopulations. To address this gap, we conducted a comprehensive study of a reintroduced Rocky Mountain bighorn sheep (Ovis canadensis canadensis) population in Dinosaur National Monument in Colorado and Utah, USA, between 2006–2020. We analyzed global positioning system (GPS) radio-collar data, genetic samples, and results of health testing to evaluate abundance, distribution, genetic structure and diversity, habitat use, movement and connectivity, and presence of or exposure to respiratory pathogens. We integrated these analyses to evaluate the outcomes of a reintroduction effort that began in 1952, over 70 years ago, and to inform management decisions in Dinosaur National Monument. We also provide a framework for evaluating metapopulation processes, including a non-invasive approach that links genetic structure with Bayesian spatial capture-recapture analyses to estimate subpopulation sizes. Despite models indicating continuous suitable habitat, we found a spatially structured population with at least 4 subpopulations with constrained connectivity. Evidence from step selection and density analyses suggested that movement among subpopulations may be limited by semi-permeable barriers including rivers and human disturbance, which could contribute to maintenance of spatial structure over time. In 2006, antibody to Mycoplasma ovipneumoniae was detected in all geographically and genetically distinct subpopulations. Widespread clinical signs of disease and a confirmed exposure to M. ovipneumoniae in 2019 indicate a long-term disease challenge. Proximity to domestic sheep creates repeated opportunities for introduction of new M. ovipneumoniae strains. We estimated abundance in 2019 at 109 (95% CrI = 87–133), composed of subpopulations ranging from 18–39 animals (95% CrIs from 11–50). Genetic diversity was relatively high compared to other reintroduced and native Rocky Mountain bighorn sheep populations, which is likely a consequence of multiple translocations from different sources. Three of 4 subpopulation centers generally aligned with the locations of original translocation release sites. Persistence in the presence of pathogens may be facilitated by metapopulation structure and moderately high genetic diversity. Conversely, metapopulation structure can also facilitate pathogen persistence. Our approach offers a path to advance understanding of the population ecology of reintroduced bighorn sheep and can inform effective conservation and management of their populations.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wmon.70011","usgsCitation":"Carroll, S., Flesch, E.P., Scoresby, S., Spencer, E., Crowhurst, R.S., Epps, C.W., Galloway, N., Janousek, W.M., and Graves, T., 2026, Ecology of reintroduced Rocky Mountain bighorn sheep in Dinosaur National Monument: Wildlife Monographs, https://doi.org/10.1002/wmon.70011.","ipdsId":"IP-170036","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":504813,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wmon.70011","text":"Publisher Index Page"},{"id":504734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Wyoming","otherGeospatial":"Dinosaur National Monument","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.68629167900906,\n 43.55694885042547\n ],\n [\n -104.42518255194071,\n 43.55694885042547\n ],\n [\n -104.42518255194071,\n 38.60536698151091\n ],\n [\n -110.68629167900906,\n 38.60536698151091\n ],\n [\n -110.68629167900906,\n 43.55694885042547\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Carroll, Sarah Louise 0000-0002-5391-7627","orcid":"https://orcid.org/0000-0002-5391-7627","contributorId":352227,"corporation":false,"usgs":true,"family":"Carroll","given":"Sarah Louise","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":961989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flesch, Elizabeth P 0000-0002-7592-8124","orcid":"https://orcid.org/0000-0002-7592-8124","contributorId":222685,"corporation":false,"usgs":false,"family":"Flesch","given":"Elizabeth","email":"","middleInitial":"P","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":961990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scoresby, Salix","contributorId":352228,"corporation":false,"usgs":false,"family":"Scoresby","given":"Salix","affiliations":[{"id":84134,"text":"Contractor, USGS (Northern Arizona University)","active":true,"usgs":false}],"preferred":false,"id":961991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, Emily","contributorId":292165,"corporation":false,"usgs":false,"family":"Spencer","given":"Emily","email":"","affiliations":[],"preferred":false,"id":961992,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crowhurst, Rachel S.","contributorId":198153,"corporation":false,"usgs":false,"family":"Crowhurst","given":"Rachel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":961993,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Epps, Clinton W.","contributorId":359530,"corporation":false,"usgs":false,"family":"Epps","given":"Clinton","middleInitial":"W.","affiliations":[{"id":85841,"text":"Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Nash Hall Room 104, Corvallis, OR, 97331, USA","active":true,"usgs":false}],"preferred":false,"id":961994,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Galloway, Nathan L.","contributorId":271191,"corporation":false,"usgs":false,"family":"Galloway","given":"Nathan L.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":961995,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Janousek, William Michael 0000-0003-3978-1775","orcid":"https://orcid.org/0000-0003-3978-1775","contributorId":237980,"corporation":false,"usgs":true,"family":"Janousek","given":"William","email":"","middleInitial":"Michael","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":961996,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":961997,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70276282,"text":"70276282 - 2026 - Modeling the seasonality of wind-driven hydrocarbon waves in Titan’s polar lakes","interactions":[],"lastModifiedDate":"2026-05-27T13:31:02.903319","indexId":"70276282","displayToPublicDate":"2026-05-21T09:25:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9967,"text":"JGR Planets","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the seasonality of wind-driven hydrocarbon waves in Titan’s polar lakes","docAbstract":"Titan, the only body in the solar system aside from Earth with standing liquids on its surface, has polar hydrocarbon lakes and seas. As Titan’s atmosphere generates light winds, there should be waves on the surface of these lakes and seas, yet, direct wave observations are scant. We introduce and use PlanetWaves, an open source 4D spectral wave model, to study Titan’s waves and create seasonal maps of wave shape and propagation on Ontario Lacus and Ligeia Mare. Titan’s modeled waves grow up to 30 times larger than terrestrial waves for the same wind speed, are seasonally present and are largest in the spring and summer when winds are strongest. Average daily winds almost never exceed the wave generation threshold of 0.5–0.7 m/s. Average storm winds (∼1.5 m/s) generate waves 15–48 cm in height with a period ranging 6–10.5 s while maximum storm winds (∼4 m/s) generate waves 2.7–3.2 m in height with a period up to 32 s. Titan’s waves become fetch-independent at ∼40 km for average storm winds occurring ∼1% of a Titan year and ∼100 kilometers for maximum storm winds occurring 2-3 times per Titan decade. On Ontario Lacus, storm winds blow nearly parallel to the eastern shore, potentially driving wave modification of the smooth eastern shoreline. On Ligeia Mare, waves rarely propagate toward a hypothesized wave modified shoreline suggesting that another process, such as tectonics, may contribute to a straight shoreline morphology.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2026JE009693","usgsCitation":"Detelich, C.E., Schneck, U.G., Hayes, A.G., Curcic, M., Palermo, R.E., Ashton, A.D., Perron, J.T., Lora, J.M., and Steckloff, J., 2026, Modeling the seasonality of wind-driven hydrocarbon waves in Titan’s polar lakes: JGR Planets, v. 131, no. 6, e2026JE009693, 26 p., https://doi.org/10.1029/2026JE009693.","productDescription":"e2026JE009693, 26 p.","ipdsId":"IP-185621","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504810,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2026je009693","text":"Publisher Index Page"},{"id":504695,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Titan","volume":"131","issue":"6","noUsgsAuthors":false,"publicationDate":"2026-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Detelich, Charlene E.","contributorId":371520,"corporation":false,"usgs":false,"family":"Detelich","given":"Charlene","middleInitial":"E.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":961946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schneck, Una G.","contributorId":371521,"corporation":false,"usgs":false,"family":"Schneck","given":"Una","middleInitial":"G.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":961947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Alexander G.","contributorId":371522,"corporation":false,"usgs":false,"family":"Hayes","given":"Alexander","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":961948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curcic, Milan","contributorId":371523,"corporation":false,"usgs":false,"family":"Curcic","given":"Milan","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":961949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palermo, Rose Elizabeth 0000-0002-7438-361X","orcid":"https://orcid.org/0000-0002-7438-361X","contributorId":300046,"corporation":false,"usgs":true,"family":"Palermo","given":"Rose","email":"","middleInitial":"Elizabeth","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961950,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ashton, Andrew D.","contributorId":371524,"corporation":false,"usgs":false,"family":"Ashton","given":"Andrew","middleInitial":"D.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":961951,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perron, J. Taylor","contributorId":371526,"corporation":false,"usgs":false,"family":"Perron","given":"J.","middleInitial":"Taylor","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":961953,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lora, Juan M.","contributorId":371525,"corporation":false,"usgs":false,"family":"Lora","given":"Juan","middleInitial":"M.","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":961952,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Steckloff, Jordan","contributorId":371527,"corporation":false,"usgs":false,"family":"Steckloff","given":"Jordan","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":961954,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70275769,"text":"fs20263010 - 2026 - The Great Lakes Geologic Mapping Coalition—Working collaboratively to understand the geology of the Great Lakes Region","interactions":[],"lastModifiedDate":"2026-05-26T18:37:48.030145","indexId":"fs20263010","displayToPublicDate":"2026-05-20T13:25:18","publicationYear":"2026","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":"2026-3010","displayTitle":"The Great Lakes Geologic Mapping Coalition—Working Collaboratively to Understand the Geology of the Great Lakes Region","title":"The Great Lakes Geologic Mapping Coalition—Working collaboratively to understand the geology of the Great Lakes Region","docAbstract":"The Great Lakes Geologic Mapping Coalition (GLGMC), commonly referred to as the “Coalition,” is a partnership between the U.S. Geological Survey (USGS), the U.S. States of Illinois, Indiana, Michigan, Minnesota, New York, Ohio, Pennsylvania, and Wisconsin and the Canadian province of Ontario. The member States receive funding for geologic mapping work from the USGS National Cooperative Geologic Mapping Program (NCGMP), whereas Ontario participates as a nonfunded partner. The mission of the GLGMC is to produce three-dimensional (3D) geologic maps that depict unconsolidated sediments and near-surface bedrock in the Great Lakes region of North America. Geologic maps are the basis of most earth science investigations and help support resource exploration (energy, minerals, groundwater), natural hazard mitigation, infrastructure development, and land-use planning, all of which can be used to advance economic development and strengthen national security in the Great Lakes region.
During the last few million years, the Great Lakes region has experienced repeated glacial advances and retreats, leaving behind extensive sediments, abundant natural resources, and widespread effects on the underlying bedrock geology (Swezey and others, 2022). Linked by shared histories of past glaciations, industrial agriculture, and legacy automotive, coal, steel, and manufacturing industries, the GLGMC member States collaborate to improve the understanding of the 3D distribution of the sediments overlying the region’s bedrock (fig. 1). Developing a comprehensive subsurface 3D framework of this glaciated terrain can provide earth science data to policymakers at all levels. These insights facilitate informed decisions on the exploration, use, and protection of vital resources, such as critical minerals, industrial materials, and aquifers, thereby supporting economic prosperity and the well-being of the citizens of this region.
Since its inception in 1998, the Coalition has completed more than 100 geologic mapping projects across the Great Lakes region. Each project aims to deliver geologic maps, 3D datasets, and other information that improves understanding of the geology of the Great Lakes region, with an emphasis on economic and water resources. Key deliverables include 3D geologic maps and models typically portraying sediment thickness, often derived from top-of-bedrock and borehole data. These products are developed through a combination of fieldwork, subsurface modeling, and the collection and analysis of rock and sediment cores.
To support Coalition goals, member States collaborate with scientists working on related STATEMAP, EDMAP, and FEDMAP projects. Coalition scientists also engage with Tribal Nations in the Great Lakes region to ensure that Tribal interests pertaining to Coalition work are addressed. Through this collaboration, the Coalition unites the efforts of State, Federal, and Tribal Nation stakeholders to advance geologic data production and enhance understanding of the geologic resources of the Great Lakes region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20263010","issn":"2327-6932","programNote":"National Cooperative Geologic Mapping Program","usgsCitation":"Lopez, B., Shelton, J.L., Marketti, M., Ritzel, K., and Graham, B.L., 2026, The Great Lakes Geologic Mapping Coalition—Working collaboratively to understand the geology of the Great Lakes Region: U.S. Geological Survey Fact Sheet 2026–3010, 4 p., https://doi.org/10.3100/fs20263010.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-182781","costCenters":[{"id":64806,"text":"National Cooperative Geologic Mapping","active":true,"usgs":true}],"links":[{"id":504712,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119447.htm","linkFileType":{"id":5,"text":"html"}},{"id":504509,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3010/images"},{"id":504506,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3010/coverthb.jpg"},{"id":504507,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263010/full","linkFileType":{"id":5,"text":"html"},"description":"FS 2026-3010 HTML"},{"id":504508,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3010/fs20263010.XML","description":"FS 2026-3010 XML"},{"id":504520,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3010/fs20263010.pdf","text":"Report","size":"34 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3010 PDF"}],"country":"Canada, United States","state":"Illinois, Indiana, Michigan, Minnesota, New York, Ohio, Pennsylvania, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.02049880324554,\n 50.19476423072376\n ],\n [\n -74.32998999345827,\n 50.19476423072376\n ],\n [\n -74.32998999345827,\n 39.549260024659674\n ],\n [\n -94.02049880324554,\n 39.549260024659674\n ],\n [\n -94.02049880324554,\n 50.19476423072376\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Program Officer, National Cooperative Geologic Mapping Program
U.S. Geological Survey
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Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 419 million barrels of oil and 5.5 trillion cubic feet of gas in the Berkine, Illizi, Hamra, Murzuq, and Erdis Kufra Basins of northern Africa.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20263009","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Finn, T.M., Leathers-Miller, H.M., Brownfield, M.E., Le, P.A., Gaswirth, S.B., and Tennyson, M.E., 2026, Assessment of undiscovered conventional oil and gas resources in the Berkine, Illizi, Hamra, Murzuq, and Erdis Kufra Basins of northern Africa, 2026: U.S. Geological Survey Fact Sheet 2026–3009, 4 p., https://doi.org/10.3133/fs20263009.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-109708","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":504437,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13QH5VP","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Berkine, Illizi, Hamra, Murzuq, and Erdis Kufra Basins of Northern Africa—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":504436,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3009/fs20263009.pdf","text":"Report","size":"3.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3009"},{"id":504435,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3009/coverthb.jpg"},{"id":504556,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3009/images"},{"id":504557,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3009/fs20263009.xml"},{"id":504586,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263009/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2026-3009"}],"country":"Algeria, Libya, Niger, Sudan, Tunisia","otherGeospatial":"Berkine, Illizi, Hamra, Murzuq, and Erdis Kufra Basins","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 4,\n 36\n ],\n [\n 25,\n 36\n ],\n [\n 25,\n 18.5\n ],\n [\n 4,\n 18.5\n ],\n [\n 4,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Major waterways in the City of Roanoke (City) have failed to meet Virginia’s aquatic life designated use since 1996. Segments of the upper Roanoke River lack healthy benthic macroinvertebrate communities which prompted a total maximum daily load (TMDL) study by the Virginia Department of Environmental Quality (VDEQ) to identify the most probable stressor(s) causing the impairment. Excess fine sediment was identified as the most probable stressor impairing benthic macroinvertebrates on portions of the Roanoke River in 2006, and a watershed implementation plan published in 2016 required communities within the impaired watershed to implement projects that would reduce the load of fine sediment entering the Roanoke River. Additional benthic macroinvertebrate sampling and stream habitat assessments along the Roanoke River and Tinker Creek (a tributary to the Roanoke River that flows through the City) revealed continued impaired conditions, and subsequent stressor identification analysis was completed in 2023. Samples collected downstream of the City on the Roanoke River and Tinker Creek generally showed more impaired conditions relative to samples collected at locations upstream of the City. Based on this evaluation, sediment and sediment-bound polychlorinated biphenyls (PCBs) were identified as probable stressors while specific conductance, total nitrogen, and sediment metals were possible stressors in Tinker Creek; however, only a sediment TMDL target was identified to address impaired benthic macroinvertebrate communities. In the Roanoke River upstream of the Niagara Dam, sediment and total phosphorus were identified as probable stressors, sediment polycyclic aromatic hydrocarbons and sediment PCB were considered possible stressors; however, the TMDL target was only for total phosphorus.
The City partnered with the U.S. Geological Survey (USGS) in 2016 to continuously monitor water quality and streamflow conditions on a major tributary of Tinker Creek, Lick Run, and by 2020, four similar monitoring stations were installed on the Roanoke River and Tinker Creek near the locations of benthic macroinvertebrate sampling. Monitored parameters included streamflow and/or gage height (water level), water temperature, pH, dissolved oxygen, specific conductance, and turbidity. Turbidity is a measure of the relative clarity of the water and was previously used to model suspended-sediment concentrations at the monitoring stations. The City also contracted Kirk Environmental, LLP (KE) to collect benthic macroinvertebrate samples and stream habitat assessments near the locations of the water-quality monitoring stations. Identified benthic macroinvertebrates were used to calculate the Virginia Stream Condition Index (SCI), a multi-metric index composed of eight biological attributes that represent elements of the structure and function of the benthic macroinvertebrate community that measure diversity, composition, and tolerance to pollution.
Study objective: In this report, benthic macroinvertebrate samples and stream habitat assessment scores collected at four locations on the Roanoke River and Tinker Creek by KE and the VDEQ between 2020 and 2023 were compared to measured water-quality and streamflow conditions prior to sampling to evaluate patterns between benthic macroinvertebrate health, water quality, and hydrology.
","language":"English","publisher":"Virginia Tech","usgsCitation":"Miller, S.A., Aguilar, M.F., Helsley, L., and Entrekin, S., 2026, Factors affecting benthic macroinvertebrate health in the City of Roanoke, Virginia, 2020–2023, vi, 139 p.","productDescription":"vi, 139 p.","ipdsId":"IP-182640","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":504682,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10919/143118"},{"id":504867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","city":"Roanoke","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.13499498922846,\n 37.407717247099555\n ],\n [\n -79.84673314727793,\n 37.407717247099555\n ],\n [\n -79.84673314727793,\n 37.18395942419494\n ],\n [\n -80.13499498922846,\n 37.18395942419494\n ],\n [\n -80.13499498922846,\n 37.407717247099555\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Samuel Adam 0000-0003-4225-1601","orcid":"https://orcid.org/0000-0003-4225-1601","contributorId":333495,"corporation":false,"usgs":true,"family":"Miller","given":"Samuel","email":"","middleInitial":"Adam","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aguilar, Marcus F 0000-0002-4431-9596","orcid":"https://orcid.org/0000-0002-4431-9596","contributorId":333497,"corporation":false,"usgs":false,"family":"Aguilar","given":"Marcus","email":"","middleInitial":"F","affiliations":[{"id":79901,"text":"City of Roanoke","active":true,"usgs":false}],"preferred":false,"id":961908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helsley, Logan 0009-0000-6496-8617","orcid":"https://orcid.org/0009-0000-6496-8617","contributorId":371497,"corporation":false,"usgs":false,"family":"Helsley","given":"Logan","affiliations":[{"id":88163,"text":"City of Roanoke, Department of Public Works","active":true,"usgs":false}],"preferred":false,"id":961909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Entrekin, Sally 0000-0002-8276-7832","orcid":"https://orcid.org/0000-0002-8276-7832","contributorId":332044,"corporation":false,"usgs":false,"family":"Entrekin","given":"Sally","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":961910,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70276549,"text":"70276549 - 2026 - Patterns of recent brook trout invasion in bull trout streams in relation to habitat, source connectivity, biotic resistance, and disturbance","interactions":[],"lastModifiedDate":"2026-06-09T14:49:51.520798","indexId":"70276549","displayToPublicDate":"2026-05-20T07:44:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of recent brook trout invasion in bull trout streams in relation to habitat, source connectivity, biotic resistance, and disturbance","docAbstract":"Anticipating biological invasions by nonnative species is critical to effective conservation. Nonnative brook trout Salvelinus fontinalis represents one of the most widespread threats to native bull trout Salvelinus confluentus, but the factors allowing or preventing ongoing range expansions are poorly understood. We addressed this uncertainty by resampling 221 survey locations in bull trout streams in Idaho and relating shifts in brook trout occupancy to four controls on biological invasion (habitat suitability, source connectivity, disturbance, and biotic resistance to invasion). Brook trout detections increased substantially between the historical period (58 sites) and contemporary period (94 sites). Site colonizations were positively associated with water temperature and negatively associated with landscape resistance metrics (i.e., highest streamflow and gradient between a site and the nearest source) in all top models. In contrast, there was weak support for a positive association with wildfire and limited support for hydrologic distance and biotic resistance metrics. Brook trout invasions in bull trout habitat are ongoing, limited by cold temperatures, and highly influenced by dispersal barriers that may not inhibit more mobile native salmonids.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2025-0293","usgsCitation":"Voss, N.S., Bowersox, B.J., Nolfi, D.C., and Quist, M., 2026, Patterns of recent brook trout invasion in bull trout streams in relation to habitat, source connectivity, biotic resistance, and disturbance: Canadian Journal of Fisheries and Aquatic Sciences, v. 83, p. 1-15, https://doi.org/10.1139/cjfas-2025-0293.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-182310","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":505230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.0536395,\n 46.2005382\n ],\n [\n -114.3310051,\n 45.9019559\n ],\n [\n -111.934915,\n 43.5348611\n ],\n [\n -117.0872419,\n 43.6416123\n ],\n [\n -117.1995296,\n 44.8428707\n ],\n [\n -117.0536395,\n 46.2005382\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Voss, Nicholas S.","contributorId":241654,"corporation":false,"usgs":false,"family":"Voss","given":"Nicholas","middleInitial":"S.","affiliations":[{"id":48382,"text":"KBR, Albuquerque Seismological Laboratory","active":true,"usgs":false}],"preferred":false,"id":962645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowersox, Brett J.","contributorId":265299,"corporation":false,"usgs":false,"family":"Bowersox","given":"Brett","email":"","middleInitial":"J.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":962646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nolfi, Daniel C.","contributorId":248446,"corporation":false,"usgs":false,"family":"Nolfi","given":"Daniel","email":"","middleInitial":"C.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":962647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":272016,"corporation":false,"usgs":true,"family":"Quist","given":"Michael C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":962648,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275022,"text":"dr1220 - 2026 - Methodology for construction of a three-layer geologic model of the conterminous United States using land surface, top of bedrock, and top of basement","interactions":[],"lastModifiedDate":"2026-05-26T18:39:21.365859","indexId":"dr1220","displayToPublicDate":"2026-05-19T11:25:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1220","displayTitle":"Methodology for Construction of a Three-Layer Geologic Model of the Conterminous United States Using Land Surface, Top of Bedrock, and Top of Basement","title":"Methodology for construction of a three-layer geologic model of the conterminous United States using land surface, top of bedrock, and top of basement","docAbstract":"This report describes the methodology used for the construction of a digital three-layer geologic model of the conterminous United States by mapping the altitude of three surfaces: land surface, the top of bedrock, and the top of basement. These surfaces are mapped through the compilation and synthesis of published stratigraphic horizons from numerous topical studies. The mapped surfaces create a three-layer geologic model with three geomaterial-based subdivisions: unconsolidated to weakly consolidated sediment; layered consolidated rock strata that constitute bedrock; and crystalline rocks that are described as “basement,” consisting of either igneous, metamorphic, or highly deformed rocks. The data compilation and synthesis are highly dependent on the definition of the informal terms “bedrock” and “basement,” which may describe different ages or types of rock in different parts of the conterminous United States. This report presents the conceptualization of the three mapped layers, describes the datasets used, and summarizes the decisions made while compiling the three-layer model from the various sources. This digital dataset was created as part of efforts by the U.S. Geological Survey to develop subsurface geologic data in geospatial form as part of a broad directive to develop two-dimensional and three-dimensional geologic information at detailed, national, and continental scales. This digital dataset partly fulfills the goal of the U.S. Geological Survey’s National Cooperative Geologic Mapping Program to construct a national-scale three-dimensional geologic model.
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U.S. Geological Survey
Box 25046, Mail Stop 980
Denver, CO 80225
This report is a companion to a digital dataset created as part of U.S. Geological Survey National Cooperative Geologic Mapping Program efforts to develop subsurface geologic data in geospatial form at regional to national scales. The report describes data sources and methods used to construct a digital three-layer geologic model of the conterminous United States by mapping the altitude of three surfaces: land surface, top of bedrock, and top of basement.
","publicationDate":"2026-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Sweetkind, Donald S. 0000-0003-0892-4796","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":210808,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":959223,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70275743,"text":"sir20265012 - 2026 - Status and understanding of groundwater quality in the San Joaquin Valley Kern County subbasin domestic-supply aquifer study unit, 2022—California GAMA Priority Basin Project","interactions":[],"lastModifiedDate":"2026-05-26T18:29:13.900279","indexId":"sir20265012","displayToPublicDate":"2026-05-19T10:38:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5012","displayTitle":"Status and Understanding of Groundwater Quality in the San Joaquin Valley Kern County Subbasin Domestic-Supply Aquifer Study Unit, 2022: California GAMA Priority Basin Project","title":"Status and understanding of groundwater quality in the San Joaquin Valley Kern County subbasin domestic-supply aquifer study unit, 2022—California GAMA Priority Basin Project","docAbstract":"The quality of water accessed by domestic wells (here referred to as domestic groundwater resources) in the San Joaquin Valley Kern County subbasin (basin number 5-022.14) was assessed as part of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project (GAMA-PBP), in cooperation with the California State Water Resources Control Board. Kern County is at the southern end of the San Joaquin Valley in California, and about 30,000 residents are estimated to use privately owned domestic wells for drinking water. Domestic wells typically draw from shallower parts of the aquifer system than public-supply wells and can be more vulnerable to effects from surface activities. Kern County is host to a highly productive agricultural industry, with Bakersfield as the main urban center. The Kern River runs through Bakersfield from the southern Sierra Nevada and intersects the Kern Water Bank, one of the largest groundwater banking operations in California, at the Kern River Intertie. The section of the Kern River running through the Kern Water Bank is dry most years. Kern County also encompasses some of the most productive oil and gas basins in California, with extensive underground and surface disposal of oil-field wastewater.
This study was based on data collected from 33 sites sampled by the U.S. Geological Survey for the GAMA-PBP in 2022. To provide context for the water quality assessment, measured concentrations were compared to regulatory and non-regulatory health-based and aesthetic benchmarks. A grid-based method was used to estimate the proportions of the groundwater resources used for domestic-supply wells that have water-quality constituents below (low relative concentration), approaching (moderate relative concentration), or above (high relative concentration) benchmark concentrations. At least one measured constituent with a regulatory benchmark was categorized as having a high relative concentration in 72 percent of the aquifer area used for domestic groundwater resources. Inorganic constituents were detected at high concentrations in 45 percent of the domestic groundwater resources, and the constituents detected above regulatory benchmarks were arsenic, nitrate, and uranium. At least one organic constituent was detected at high concentrations in 41 percent of the domestic groundwater resources, and the constituents exceeding regulatory benchmarks were the fumigants 1,2,3-trichloropropane (1,2,3-TCP), 1,2-dibromo-3-chloropropane (dibromochloropropane [DBCP]), 1,2-dibromoethane (EDB), and the per-and polyfluoroalkyl substance (PFAS) perfluorooctanesulfonate. The disinfection by-product chloroform, the fumigant 1,2-dichloropropane, the herbicides atrazine and hexazinone, and the herbicide degradates 2-chloro-6-ethylamino-4-amino-s-triazine, 2-chloro-4,6-diamino-s-triazine, 4-hydroxychlorothalonil, and metolachlor sulfonic acid were detected in more than 10 percent of domestic groundwater resources, but concentrations did not exceed regulatory benchmarks.
Land use, groundwater age (fraction of modern water and mean age), and geochemical environment (oxic or anoxic conditions, pH, alkalinity) were associated with the distribution of high relative concentrations of inorganic and organic constituents. Young, oxygenated water is recharged along the Kern River and adjacent recharge ponds, or as irrigation water in the agricultural areas. High concentrations of nitrate and volatile organic compounds occurred in the oxic water in urban and agricultural areas. The fumigants 1,2,3-TCP, DBCP, and EDB were reported throughout the agricultural areas, whereas chloroform, tetrachloroethene, and PFAS were associated with urban land use. High uranium concentrations were associated with young, modern groundwater in agricultural areas with low pH and high bicarbonate. Total dissolved solids increased with distance from the Kern River, as the contributions of fresh, oxic water decreased. High concentrations of arsenic were present in older anoxic or alkaline groundwater away from areas of recharge. Overall, groundwater age, redox conditions, and the source of recharge as a result of different land uses contribute to large aquifer-scale portions of domestic groundwater resources that exceed health-based benchmarks for nitrate, uranium, and fumigant concentrations.
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6000 J Street, Placer Hall
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Acknowledgments
Abstract
Introduction
Hydrogeologic Setting
Methods
Status of Groundwater Quality
Factors that Affect Groundwater Quality
Summary
References Cited
The U.S. Geological Survey, in cooperation with the City of Lee’s Summit, Missouri, assessed flooding of the East Fork Little Blue River and tributaries for varying precipitation magnitudes and durations, varying antecedent runoff conditions, and projected climate-change conditions. The precipitation scenarios were used to develop a library of flood-inundation maps for a 2.95-mile reach of the East Fork Little Blue River and tributaries within the city.
A two-dimensional U.S. Army Corps of Engineers Hydrologic Engineering Center–River Analysis System (HEC–RAS; ver. 6.5) rain-on-grid model was calibrated to selected runoff events representing a range of antecedent runoff conditions and hydrologic responses. Lowest adjacent grades for structures within the nearby study area were incorporated into the terrain, and depth grids and water-surface elevation grids were developed for the study area. Simulated velocities at selected bridge locations were also developed from the model. The model was calibrated using water-surface elevation data collected from water-level loggers (pressure transducers) and streamflow measurements and water-surface elevation measurements made at a reference point during runoff events. The calibrated HEC–RAS model was used to simulate streamflows from design rainfall events of 15-minute to 24-hour durations and ranging from a 100- to 0.1-percent annual exceedance probability (1-year to 1,000-year recurrence intervals). Flood-inundation maps were produced for depths at a reference location of 3 to 16 feet, or a depth exceeding the 0.1-percent annual exceedance probability interval precipitation. The results of each precipitation duration-frequency value were represented by a 1-foot-increment inundation map based on the generated peak streamflow from that rainfall event and the corresponding water-surface elevation at the East Fork Little Blue River reference location.
Within the HEC–RAS model, 240 scenarios were developed from the design rainfall events with each of 3 antecedent conditions. Additional scenarios were created to simulate the effects of projected precipitation scenarios on the 100-year recurrence interval, 24-hour storm and the 100-year recurrence interval, 6-hour storm. All simulation results were assigned to a flood-inundation map condition based on the generated peak flow and corresponding water-surface elevation at the East Fork Little Blue River reference location.
The flood-inundation maps are shown on a web mapping application made available to the public through the City of Lee’s Summit (hyperlink will be added when available). The flood-inundation maps are tied to real-time precipitation data obtained from the Automated Surface Observing System weather station at the Lee’s Summit Municipal Airport, accessible at https://mesonet.agron.iastate.edu/request/download.phtml?network=MO_ASOS. The availability of these maps, along with information regarding observed rainfall, could help provide emergency management personnel and residents with information that is critical for flood-response activities, such as evacuations and road closures, and for postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265017","collaboration":"Prepared in cooperation with the City of Lee’s Summit, Missouri","usgsCitation":"Atkinson, A.A., 2026, Precipitation-based flood-inundation maps for the East Fork Little Blue River and tributaries at Lee’s Summit, Missouri, 2024: U.S. Geological Survey Scientific Investigations Report 2026–5017, 24 p., https://doi.org/10.3133/sir20265017.","productDescription":"Report: viii; 24 p.; Data Release","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-161724","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":504709,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119450.htm","linkFileType":{"id":5,"text":"html"}},{"id":504500,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5017/coverthb.jpg"},{"id":504501,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5017/sir20265017.pdf","text":"Report","size":"9.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5017 PDF"},{"id":504502,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265017/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5017"},{"id":504503,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5017/sir20265017.XML","description":"SIR 2026-5017"},{"id":504504,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5017/images"},{"id":504505,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13NSPHQ","text":"USGS data release","linkHelpText":"Geospatial data and model archives associated with precipitation-driven flood-inundation mapping of the East Fork Little Blue River and associated tributaries at Lee’s Summit, Missouri"}],"country":"United States","state":"Missouri","otherGeospatial":"East Fork Little Blue River and Tributaries at Lee’s Summit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.4,\n 38.95\n ],\n [\n -94.3,\n 38.95\n ],\n [\n -94.3,\n 38.9\n ],\n [\n -94.4,\n 38.9\n ],\n [\n -94.4,\n 38.95\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
The U.S. Geological Survey, in cooperation with the City of Lee’s Summit, Missouri, assessed flooding of the East Fork Little Blue River and tributaries for varying precipitation magnitudes and durations, varying antecedent runoff conditions, and projected climate-change conditions. The precipitation scenarios were used to develop a library of flood-inundation maps that included a 2.95-mile reach of the East Fork Little Blue River and tributaries within the city. The availability of these maps, along with information regarding observed rainfall, could help provide emergency management personnel and residents with information that is critical for flood-response activities, such as evacuations and road closures, and for postflood recovery efforts.
","publicationDate":"2026-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Atkinson, Allison A. 0009-0001-7572-0729 aatkinson@usgs.gov","orcid":"https://orcid.org/0009-0001-7572-0729","contributorId":330979,"corporation":false,"usgs":true,"family":"Atkinson","given":"Allison","email":"aatkinson@usgs.gov","middleInitial":"A.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961727,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70276240,"text":"70276240 - 2026 - Remote sensing enables basin-scale inventories of coal mine methane","interactions":[],"lastModifiedDate":"2026-06-02T16:30:40.572619","indexId":"70276240","displayToPublicDate":"2026-05-19T09:28:33","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing enables basin-scale inventories of coal mine methane","docAbstract":"Underground coal mines are important global sources of methane, but emission estimates are uncertain. We show that emission estimates for individual mines from aircraft remote-sensing surveys in the United States agree within 40% with direct measurements used for national emission reporting (IPCC Tier 3 estimate). Such direct measurements are unavailable in most countries, which rely on estimated emission factors (EFs) applied to coal-production rates. We find that EFs from IPCC Tier 1 and the Model for Calculating Coal Mine Methane (MC2M) methods overestimate U.S. emissions 3-fold due to incorrect dependence on mine depth. An IPCC Tier 2 method using measured basin-specific mine gas content agrees with direct emission measurements but does not account for gob well emissions and requires gas content data that are generally unavailable. We show that aircraft remote sensing for a small sample of mines can successfully estimate basin-specific EFs for ventilation shafts and gob wells, enabling estimates of basin- and national-scale emissions. We discuss how the method can be applied with satellite remote sensing to quantify coal emissions worldwide.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c14976","usgsCitation":"Penn, E., Jacob, D.J., Bon, D.M., Howell, K., O’Neill, K., Scarpelli, T., Chen, Z., Field, R.A., Karacan, C.O., Roy, E., and Cusworth, D., 2026, Remote sensing enables basin-scale inventories of coal mine methane: Environmental Science and Technology, v. 60, no. 21, p. 14924-14933, https://doi.org/10.1021/acs.est.5c14976.","productDescription":"10 p.","startPage":"14924","endPage":"14933","ipdsId":"IP-177546","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":504550,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504654,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c14976","text":"Publisher Index Page"}],"country":"United States","state":"Alabama, Colorado, Kentucky, New Mexico, Ohio, Pennsylvania, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111,\n 39.75\n ],\n [\n -107,\n 39.75\n ],\n [\n -107,\n 36\n ],\n [\n -111,\n 36\n ],\n [\n -111,\n 39.75\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.5,\n 40.5\n ],\n [\n -83,\n 40.5\n ],\n [\n -83,\n 37\n ],\n [\n -79.5,\n 37\n ],\n [\n -79.5,\n 40.5\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.5,\n 33.75\n ],\n [\n -86.75,\n 33.75\n ],\n [\n -86.75,\n 33\n ],\n [\n -87.5,\n 33\n ],\n [\n -87.5,\n 33.75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"60","issue":"21","noUsgsAuthors":false,"publicationDate":"2026-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Penn, Elise","contributorId":371414,"corporation":false,"usgs":false,"family":"Penn","given":"Elise","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":961793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacob, Daniel J.","contributorId":371424,"corporation":false,"usgs":false,"family":"Jacob","given":"Daniel","middleInitial":"J.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":961802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bon, Daniel M.","contributorId":371448,"corporation":false,"usgs":false,"family":"Bon","given":"Daniel","middleInitial":"M.","affiliations":[],"preferred":false,"id":961845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howell, Kate","contributorId":371416,"corporation":false,"usgs":false,"family":"Howell","given":"Kate","affiliations":[{"id":88137,"text":"Carbon Mapper","active":true,"usgs":false}],"preferred":false,"id":961795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Neill, Kelly","contributorId":371418,"corporation":false,"usgs":false,"family":"O’Neill","given":"Kelly","affiliations":[{"id":88137,"text":"Carbon Mapper","active":true,"usgs":false}],"preferred":false,"id":961796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scarpelli, Tia","contributorId":371419,"corporation":false,"usgs":false,"family":"Scarpelli","given":"Tia","affiliations":[{"id":88137,"text":"Carbon Mapper","active":true,"usgs":false}],"preferred":false,"id":961797,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chen, Zichong","contributorId":371420,"corporation":false,"usgs":false,"family":"Chen","given":"Zichong","affiliations":[{"id":79448,"text":"Hong Kong University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":961798,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Field, Robert A.","contributorId":371421,"corporation":false,"usgs":false,"family":"Field","given":"Robert","middleInitial":"A.","affiliations":[{"id":82714,"text":"UNEP, International Methane Emission Observatory","active":true,"usgs":false}],"preferred":false,"id":961799,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":961800,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Roy, Elfie","contributorId":371423,"corporation":false,"usgs":false,"family":"Roy","given":"Elfie","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":961801,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cusworth, Daniel","contributorId":371415,"corporation":false,"usgs":false,"family":"Cusworth","given":"Daniel","affiliations":[{"id":88137,"text":"Carbon Mapper","active":true,"usgs":false}],"preferred":false,"id":961794,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70276262,"text":"70276262 - 2026 - Whatever it takes— Shaping the L&O Letters Early Career Publication Honor to deliver true benefit","interactions":[],"lastModifiedDate":"2026-05-21T14:19:22.593452","indexId":"70276262","displayToPublicDate":"2026-05-19T09:14:47","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Whatever it takes— Shaping the L&O Letters Early Career Publication Honor to deliver true benefit","docAbstract":"There are clear advantages for those who openly share their research. Publishing Open Access (OA) articles can increase author visibility (McCabe and Snyder 2014), improve productivity metrics (i.e., more diverse and higher citation rates; Huang et al. 2024; Piwowar et al. 2018), widen collaborative networks (Tai and Robinson 2018), and help secure future funding and/or comply with funder mandates (Herrmannova et al. 2019; Larivière and Sugimoto 2018; McKiernan et al. 2016 and references therein). These benefits can be vital for students and early career researchers (ECRs) trying to advance and thrive in academia. However, publishing papers in Gold OA journals such as L&O Letters comes at a notable financial cost, as these journals require that the corresponding author (or their organization or funder) pay a fee to make their published article immediately freely available to the public. These article processing charges can be prohibitively expensive (Fontúrbel and Vizentin-Bugoni 2021; Mekonnen et al. 2022; Ross-Hellauer et al. 2022). While Read and Publish agreements and waiver programs may be available to help cover these costs, these programs often exclude independent authors as well as those affiliated with ineligible or non-participating institutions (e.g., publisher waivers using the Research4Life eligibility criteria for access currently only allow authors from one of 13 South American countries/territories to publish free of charge). Besides the financial barrier, authors from underrepresented groups can also face a myriad of other publishing roadblocks, such as linguistic challenges (for speakers of English as a foreign language; Amano et al. 2023; Franco-Santos 2024; Ramírez-Castañeda 2020) and geopolitical-scientific bias (e.g., science conducted in the Global South being seen as less impactful and innovative than that conducted in the Global North; Ghosh 2022; Smits et al. 2025). For context, Global South (GS) and Global North (GN) are not geographic determinations (i.e., South and North hemispheres), but geopolitical classifications regarding a nation's level of development (underdeveloped, developing, or developed). For example: Australia and Brazil are both located in the southern hemisphere, but the former is considered as a Global North (developed) country and the latter as a Global South (underdeveloped or developing) country.
When a subset of researchers is unable to openly publish their work, the diversity of voices represented in OA literature can decline (Williams et al. 2023). Loss of diversity is a loss to science, as diversity increases productivity, innovation, and scientific impact (refer to opening quote; Freeman and Huang 2014; AlShebli et al. 2018; Tomillo et al. 2022). To partially address the above-mentioned challenges and enable underfunded ECRs to publish their work in OA format, the biennial L&O Letters Early Career Publication Honor (ECPH) was established in 2020 by the ASLO Raelyn Cole Editorial (RCE) Fellows (Hotaling et al. 2022). Below we reflect on the benefits, outcomes, and scientific impact of the 2022 call and introduce the articles it helped publish in L&O Letters, which are bundled in this section of the ECPH Virtual Issue. Articles published in L&O Letters during other calls are available in their respective sections. We also refer the reader to six articles published by ECRs in other journals (not included in this Virtual Issue) whose content originally warranted their leading author an ECPH in 2022.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lol2.70137","usgsCitation":"Franco-Santos, R.M., Deemer, B., Falkenberg, L.J., Gradoville, M.R., Hotaling, S., and Peck, E.K., 2026, Whatever it takes— Shaping the L&O Letters Early Career Publication Honor to deliver true benefit: Limnology and Oceanography Letters, v. 11, no. 3, e70137, 6 p., https://doi.org/10.1002/lol2.70137.","productDescription":"e70137, 6 p.","ipdsId":"IP-187671","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504659,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lol2.70137","text":"Publisher Index Page"},{"id":504595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Franco-Santos, Rita M.","contributorId":371455,"corporation":false,"usgs":false,"family":"Franco-Santos","given":"Rita","middleInitial":"M.","affiliations":[{"id":88147,"text":"Oceans Institute, University of Western Australia, Crawley, WA, Australia","active":true,"usgs":false}],"preferred":false,"id":961852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deemer, Bridget 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":215049,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falkenberg, Laura J.","contributorId":371456,"corporation":false,"usgs":false,"family":"Falkenberg","given":"Laura","middleInitial":"J.","affiliations":[{"id":88149,"text":"School of Physics, Chemistry and Earth Sciences, College of Science, Adelaide University, Adelaide, Australia","active":true,"usgs":false}],"preferred":false,"id":961854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gradoville, Mary R.","contributorId":371457,"corporation":false,"usgs":false,"family":"Gradoville","given":"Mary","middleInitial":"R.","affiliations":[{"id":88150,"text":"Columbia River Inter-Tribal Fish Commission, Portland, OR, USA","active":true,"usgs":false}],"preferred":false,"id":961855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hotaling, Scott","contributorId":202050,"corporation":false,"usgs":false,"family":"Hotaling","given":"Scott","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":961856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peck, Erin K.","contributorId":371458,"corporation":false,"usgs":false,"family":"Peck","given":"Erin","middleInitial":"K.","affiliations":[{"id":88152,"text":"Graduate School of Oceanography, University of Rhode Island, Narragansett, RI, USA","active":true,"usgs":false}],"preferred":false,"id":961857,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276362,"text":"70276362 - 2026 - Tringa flavipes (Lesser Yellowlegs) from separate breeding sites subdivides the Prairie Pothole Region in space and time during southbound migration","interactions":[],"lastModifiedDate":"2026-06-02T15:08:54.691242","indexId":"70276362","displayToPublicDate":"2026-05-19T07:54:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Tringa flavipes (Lesser Yellowlegs) from separate breeding sites subdivides the Prairie Pothole Region in space and time during southbound migration","title":"Tringa flavipes (Lesser Yellowlegs) from separate breeding sites subdivides the Prairie Pothole Region in space and time during southbound migration","docAbstract":"Some staging regions support multiple groups of the same migratory species, each of which may use the region differently. Characterizing the ways, in which separate groups use such regions can therefore help to identify vulnerabilities during this sensitive period of the annual cycle. The Prairie Pothole Region (PPR) is a massive wetland complex in the northern Great Plains of North America used by ∼11 million shorebirds during migration. The PPR has been heavily modified by agriculture and is experiencing varied effects of global climate change, threatening the health of the shorebirds that rely on it. Here, we used 6 seasons of southbound tracking data of Tringa flavipes (Lesser Yellowlegs)—a long-distance migratory shorebird species with an estimated population decline of 63% over the last 4 decades—from 9 sites across their breeding range to explore differences in migratory behavior within this important staging region. We found that 75% of tracked individuals used the region during southbound migration, and T. flavipes from different breeding sites detoured 110–875 km from their most direct migratory route to access the PPR. Individuals that arrived later stayed longer and made more stops within the region than those that arrived early. Individuals originating from different breeding sites also displayed spatial and temporal segregation within the region: T. flavipes from southwest and central Alaska relied heavily on the northwestern PPR, while those from Canada used the central and southeastern portions of the PPR. Finally, timing of use varied among groups, but the southeastern PPR became increasingly important over the course of the southbound migratory window, as other wetlands likely dried out. Our study highlights the portions of the PPR of critical importance to migrating T. flavipes and the diversity of ways, in which different groups from within the same species can use a single staging region.
","language":"English","publisher":"American Ornithological Society","doi":"10.1093/ornithapp/duag048","usgsCitation":"Bathrick, R.E., Johnson, J.A., Ruthrauff, D.R., Christie, K., Courtemanche, A., Gesmundo, C., McDuffie, L.A., and Senner, N.R., 2026, Tringa flavipes (Lesser Yellowlegs) from separate breeding sites subdivides the Prairie Pothole Region in space and time during southbound migration: Ornithological Applications, duag048, 24 p., https://doi.org/10.1093/ornithapp/duag048.","productDescription":"duag048, 24 p.","ipdsId":"IP-177674","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":505048,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duag048","text":"Publisher Index Page"},{"id":504951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Manitoba, Northwest Territories, Ontario, Quebec","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -178.61294404587605,\n 70.26060914187471\n ],\n [\n -38.61717673771537,\n 55.24053351141086\n ],\n [\n -67.10126030863589,\n 43.64317292849029\n ],\n [\n -147.96801136415814,\n 54.299133028206484\n ],\n [\n -178.61294404587605,\n 70.26060914187471\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Bathrick, Rosalyn E. 0009-0006-4097-3079","orcid":"https://orcid.org/0009-0006-4097-3079","contributorId":371638,"corporation":false,"usgs":false,"family":"Bathrick","given":"Rosalyn","middleInitial":"E.","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":962208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, James A. 0000-0002-2312-0633","orcid":"https://orcid.org/0000-0002-2312-0633","contributorId":299054,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":962211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":244581,"corporation":false,"usgs":false,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":962214,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christie, Katherine","contributorId":340821,"corporation":false,"usgs":false,"family":"Christie","given":"Katherine","affiliations":[{"id":81671,"text":"Alaska Department of Fish and Game, Threatened","active":true,"usgs":false}],"preferred":false,"id":962210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Courtemanche, Anna","contributorId":371235,"corporation":false,"usgs":false,"family":"Courtemanche","given":"Anna","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":962209,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gesmundo, Callie","contributorId":127437,"corporation":false,"usgs":false,"family":"Gesmundo","given":"Callie","email":"","affiliations":[],"preferred":false,"id":962212,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McDuffie, Laura Anne 0000-0003-2071-7204","orcid":"https://orcid.org/0000-0003-2071-7204","contributorId":299040,"corporation":false,"usgs":true,"family":"McDuffie","given":"Laura","email":"","middleInitial":"Anne","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":962213,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Senner, Nathan R. 0000-0003-2236-2697","orcid":"https://orcid.org/0000-0003-2236-2697","contributorId":371641,"corporation":false,"usgs":false,"family":"Senner","given":"Nathan","middleInitial":"R.","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":962215,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}