Remote sensing can provide reliable information on river depths and this approach might be particularly valuable in areas that are difficult to survey via conventional field methods. In this study, we assessed the potential to map the bathymetry of an inaccessible proglacial river in Alaska from both aerial orthophotos and a multispectral satellite image. In addition, we evaluated a variety of depth retrieval algorithms with different input data requirements, including some methods that require field measurements of water depth for calibration and other techniques that can be applied even when such field data are not available. These approaches might enable more efficient use of remote sensing methods by resource management agencies. Our results suggest that bathymetric mapping along the turquoise-colored river we examined was not only feasible but highly accurate ( R2 up to 0.94) for both types of image data. Algorithms that use paired observations of depth and reflectance to train depth retrieval models were the most accurate, with errors on the order of 15%–20% and little or no bias. Alternative techniques based on hydraulic and statistical concepts also led to strong agreement between predicted and observed depths but were more susceptible to systematic biases toward under- or over-estimation of depth. In contrast to clear-flowing streams, bathymetric mapping in this environment was enabled by a direct relationship between the depth and brightness of the water due to scattering by suspended sediment. In selecting an appropriate depth retrieval method, a compromise might need to be reached between the level of field effort invested and the accuracy of the resulting image-derived bathymetry. Standalone software for implementing these techniques is freely available.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2025.110140","usgsCitation":"Legleiter, C.J., Leonard, C.M., Burger, P.A., Pletcher, A.G., and Kinzel, P.J., 2026, Toward an efficient framework for remote sensing of river bathymetry: Comparing sensors and algorithms on an inaccessible proglacial river in Alaska: Geomorphology, v. 495, 110140, 24 p., https://doi.org/10.1016/j.geomorph.2025.110140.","productDescription":"110140, 24 p.","ipdsId":"IP-179757","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":498513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United states","state":"Alaska","otherGeospatial":"Mulchatna River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -154.00824680332022,\n 60.789825438561536\n ],\n [\n -154.09788058802903,\n 60.789825438561536\n ],\n [\n -154.09788058802903,\n 60.770469283939605\n ],\n [\n -154.00824680332022,\n 60.770469283939605\n ],\n [\n -154.00824680332022,\n 60.789825438561536\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"495","noUsgsAuthors":false,"publicationDate":"2025-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":953420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leonard, Christina M. 0000-0002-5096-8103","orcid":"https://orcid.org/0000-0002-5096-8103","contributorId":360578,"corporation":false,"usgs":false,"family":"Leonard","given":"Christina","middleInitial":"M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":953421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burger, Paul A. 0009-0005-7135-8290","orcid":"https://orcid.org/0009-0005-7135-8290","contributorId":360579,"corporation":false,"usgs":false,"family":"Burger","given":"Paul","middleInitial":"A.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":953422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pletcher, Addison G. 0009-0002-3775-0852","orcid":"https://orcid.org/0009-0002-3775-0852","contributorId":360580,"corporation":false,"usgs":false,"family":"Pletcher","given":"Addison","middleInitial":"G.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":953423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953424,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273255,"text":"70273255 - 2026 - A 10-year continuous daily simulation of chloride flux from a suburban watershed in Fairfax County, Virginia, USA","interactions":[],"lastModifiedDate":"2025-12-29T15:17:40.106052","indexId":"70273255","displayToPublicDate":"2025-12-23T09:14:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"A 10-year continuous daily simulation of chloride flux from a suburban watershed in Fairfax County, Virginia, USA","docAbstract":"Increasing levels of chloride in surface water are associated with detrimental effects on water quality, aquatic ecosystems, infrastructure, and human health. Numerous mass-balance studies have inferred watershed transport processes by interpreting chloride inputs and outputs, but few represent internal dynamics explicitly. We constructed a coupled water/chloride mass balance model to gain insights into storage, residence time, and transport processes in a 10-km2 urban watershed. The model, which operates over a 10-year period at a daily time scale, represents storage in a dynamic soil-moisture reservoir, quick-flow runoff from storm events, and slow-flow runoff that sustains streamflow in dry weather. The calibrated model accurately represented (a)the observed transition from a streamflow enrichment regime in cold months to a dilution regime in warmer months, (b) the observed tendency for late-summer concentrations to be higher after winters with heavy snowfall, and (c) a period-of-record downward trend in chloride concentration likely associated with a downward trend in annual snowfall. Estimated chloride inputs averaged 195 metric tons per year, while the average output was 270 metric tons per year. In contrast, estimated storage was only 107 metric tons. The estimated mean residence time in groundwater was 1.27 years. This short residence time indicates that efforts to reduce inputs will manifest as decreased concentrations in streamflow on a management-relevant time scale of several years. The coupled mass balance model yielded insights into internal watershed dynamics that would not be possible from simple input/output analysis; such models can be useful tools for gaining insight into small watershed hydrology and pollutant transport.
","language":"English","publisher":"MDPI","doi":"10.3390/w18010043","usgsCitation":"Chanat, J.G., and Custer, C.A., 2026, A 10-year continuous daily simulation of chloride flux from a suburban watershed in Fairfax County, Virginia, USA: Water, v. 18, no. 1, 43, 25 p., https://doi.org/10.3390/w18010043.","productDescription":"43, 25 p.","ipdsId":"IP-184027","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":498300,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w18010043","text":"Publisher Index Page"},{"id":498099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Fairfax 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Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Custer, Christopher Allan 0000-0003-2072-1414","orcid":"https://orcid.org/0000-0003-2072-1414","contributorId":364564,"corporation":false,"usgs":true,"family":"Custer","given":"Christopher","middleInitial":"Allan","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273476,"text":"70273476 - 2026 - Potential interactions between birds and floating photovoltaic solar energy: Spatially informed species vulnerabilities, techno-ecological risks, and sustainability trade-offs","interactions":[],"lastModifiedDate":"2026-01-20T15:30:26.944609","indexId":"70273476","displayToPublicDate":"2025-12-23T08:46:17","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":"Potential interactions between birds and floating photovoltaic solar energy: Spatially informed species vulnerabilities, techno-ecological risks, and sustainability trade-offs","docAbstract":"Floating photovoltaics (floating solar panels; FPV) can reduce the negative impacts of solar energy development in terrestrial environments, but their effects on freshwater ecosystems remain poorly understood. We examined potential FPV interactions with avian biodiversity, using previously modeled technical potential of FPV in the northeastern United States. We developed a vulnerability index based on avian species’: (i) morphological traits, (ii) level of conservation concern, and (iii) habitat requirements. Using eBird participatory science data, we assessed the risk of FPV to 291 species of birds occurring at FPV-suitable waterbodies based on their vulnerability index and estimated relative abundance at each location. The greatest risk of FPVs to birds was associated with waterbodies near the Atlantic coast and Great Lakes, and most (80%) of these high-risk waterbodies were smaller waterbodies. Because the avian risk at FPV-suitable waterbodies was not correlated with estimated energy generation, reducing risk to birds might not require energy trade-offs. Moreover, avoiding FPV installations at waterbodies predicted to pose high risk to birds is likely to return social and recreational benefits while minimizing risk of biofouling. Our analysis provides a framework for proactively evaluating risk, reducing potential adverse impacts of FPV to birds, and identifying cobenefits of sustainable FPV siting across waterscapes.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5c09819","usgsCitation":"Binley, A.D., Gallaher, A., Rodewald, A.D., and Grodsky, S.M., 2026, Potential interactions between birds and floating photovoltaic solar energy: Spatially informed species vulnerabilities, techno-ecological risks, and sustainability trade-offs: Environmental Science and Technology, v. 60, no. 1, p. 510-621, https://doi.org/10.1021/acs.est.5c09819.","productDescription":"12 p.","startPage":"510","endPage":"621","ipdsId":"IP-181372","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498920,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c09819","text":"Publisher Index Page"},{"id":498737,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, Virginia, Washington DC, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -66.65501641197895,\n 44.74152548184259\n ],\n [\n -67.6968245772661,\n 45.73794783309825\n ],\n [\n -67.95270949892765,\n 47.379125614743884\n ],\n [\n -69.3915223409562,\n 47.4278826893804\n ],\n [\n -70.99089733033615,\n 45.39194803042125\n ],\n [\n -71.59816120202068,\n 45.0249102712188\n ],\n [\n -74.93724052894156,\n 44.993515254035685\n ],\n [\n -76.75034686370854,\n 43.91376278161334\n ],\n [\n -78.97980279465791,\n 43.429291703689586\n ],\n [\n -78.86279954021416,\n 42.897702704595986\n ],\n [\n -79.54055781839557,\n 42.48834669405045\n ],\n [\n -80.5152362296271,\n 42.22648847140036\n ],\n [\n -80.5372853679192,\n 40.61342359980179\n ],\n [\n -81.46839017947205,\n 39.28753079607813\n ],\n [\n -82.12840686018721,\n 39.08491548516051\n ],\n [\n -82.69161741334696,\n 38.02531835066708\n ],\n [\n -82.02995782117321,\n 37.54106137435666\n ],\n [\n -83.64361903153913,\n 36.60472689492755\n ],\n [\n -75.61198709812805,\n 36.516353887422284\n ],\n [\n -74.66765042081843,\n 38.89523397600536\n ],\n [\n -73.50324716106653,\n 40.2520538786232\n ],\n [\n -71.66037271059179,\n 41.01739604846372\n ],\n [\n -70.84438505823752,\n 41.23839424240364\n ],\n [\n -69.7808356241324,\n 41.14180012249446\n ],\n [\n -69.93670062740647,\n 42.203277879766915\n ],\n [\n -70.3951271076242,\n 42.825025843792105\n ],\n [\n -69.30407208470645,\n 43.759282507474296\n ],\n [\n -66.65501641197895,\n 44.74152548184259\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Binley, Allison D.","contributorId":365181,"corporation":false,"usgs":false,"family":"Binley","given":"Allison","middleInitial":"D.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":953873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallaher, Adam","contributorId":348210,"corporation":false,"usgs":false,"family":"Gallaher","given":"Adam","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":953874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodewald, Amanda D.","contributorId":365183,"corporation":false,"usgs":false,"family":"Rodewald","given":"Amanda","middleInitial":"D.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":953875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":953876,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273446,"text":"70273446 - 2026 - An analysis of the linked decisions in the confiscation of illegally traded turtles","interactions":[],"lastModifiedDate":"2026-02-24T16:39:30.348704","indexId":"70273446","displayToPublicDate":"2025-12-22T08:46:47","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"An analysis of the linked decisions in the confiscation of illegally traded turtles","docAbstract":"Over the last few decades, freshwater turtles have become more common in the illegal wildlife trade because of growing global demand. Illegally traded turtles may be intercepted by several different agencies with separate jurisdictions. When turtles are confiscated, uncertainties may make releasing them back to the wild difficult. We used tools from decision analysis to achieve the following three objectives: (1) map elements of the decision process and their relationships in the illegal turtle trade using conceptual models, (2) outline the linked decisions for turtle confiscation and repatriation using decision trees, and (3) evaluate the decision trees for two example scenarios, one with moderate uncertainty and one with high uncertainty. We used the wood turtle (Glyptemys insculpta) as a case study, which is a species of conservation concern in part due to illegal wildlife trafficking. We conducted 23 semi-structured interviews of decision makers in law enforcement, biologists, land managers, and zoo staff. Interviews revealed that decisions regarding the disposition of confiscated turtles are complicated by uncertainty in disease status and origin. Decision makers that handle confiscated turtles also recognize that their decisions are often made in sequence and dependent on the outcome of antecedent decisions. In evaluating our decision trees, we found that the optimal decisions for example scenarios were similar and insensitive to uncertainty. Future applications of the decision trees by decision makers would involve a decision analyst to parameterize and interpret the choices and consequences involved in working through these decision trees. Collectively, our work shows how the use of decision trees can help structure and evaluate risky decisions for repatriating confiscated wildlife.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.70165","usgsCitation":"Smith, D., DiRenzo, G.V., Fleming, J.E., McEachran, M.C., and Campbell Grant, E.H., 2025, An analysis of the linked decisions in the confiscation of illegally traded turtles: Conservation Science and Practice, e70165, 12 p., https://doi.org/10.1111/csp2.70165.","productDescription":"e70165, 12 p.","ipdsId":"IP-166499","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498702,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.70165","text":"Publisher Index Page"},{"id":498616,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.61952248598104,\n 51.579179045299185\n ],\n [\n -97.61952248598104,\n 37.42140161216963\n ],\n [\n -66.83408644894973,\n 37.42140161216963\n ],\n [\n -66.83408644894973,\n 51.579179045299185\n ],\n [\n -97.61952248598104,\n 51.579179045299185\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Desireé","contributorId":365126,"corporation":false,"usgs":false,"family":"Smith","given":"Desireé","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":953733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella V.","contributorId":365127,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","middleInitial":"V.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":953734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleming, Jillian Elizabeth 0000-0003-2570-914X","orcid":"https://orcid.org/0000-0003-2570-914X","contributorId":238931,"corporation":false,"usgs":true,"family":"Fleming","given":"Jillian","email":"","middleInitial":"Elizabeth","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McEachran, Margaret C.","contributorId":365130,"corporation":false,"usgs":false,"family":"McEachran","given":"Margaret","middleInitial":"C.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":953736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953737,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273308,"text":"70273308 - 2026 - Where to restore and conserve? A regional benefit cost analysis of coral reef protection and restoration for coastal flood resilience","interactions":[],"lastModifiedDate":"2026-01-06T14:49:27.601532","indexId":"70273308","displayToPublicDate":"2025-12-22T08:42:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Where to restore and conserve? A regional benefit cost analysis of coral reef protection and restoration for coastal flood resilience","docAbstract":"Momentum is growing for the management of coral reefs as a strategy to reduce climate risks in tropical coastlines. Yet, quantification of the life-time costs, impacts, and benefits remains limited. This study provides one of the first rigorous, spatially explicit, regional-scale Benefit:Cost Analyses (BCA) for coral reef restoration and was designed to meet the BCA requirements of major hazard mitigation funding and programs. This study simulates coastal flooding using a hydrodynamic model under different scenarios representing current coral reef conditions, reef degradation, and reef restoration. These coastal flood maps are used to estimate socioeconomic damages, which are included in a BCA to assess cost-effectiveness and priority areas for coral reef conservation and restoration. The United States Virgin Islands is used as a case study given recent impacts from storms and their new policy that declares reefs as natural infrastructure. The results show that flood risk across the islands of Saint Croix, Saint John, and Saint Thomas is $51.4 million USD per year. Annually, coral reefs prevent flood damages to 481 people and $43.6 million USD of infrastructure, which represents 87 % of the flood risk. These results identify the communities that could receive the greatest benefits from coral conservation and restoration, which overlap significantly. Coral reef restoration is found to be a cost-effective strategy for flood mitigation although how reefs are restored matters. Hybrid coral reef restoration provides greater flood mitigation benefits than ecological restoration, but its cost-effectiveness is overall lower given its greater costs. Many coastal areas have benefit:cost ratios exceeding 1.5, which complies with typical government agencies’ requirements for accessing hazard mitigation funds. This valuation framework helps provide rigorous regional-scale quantification of nature-based coastal protection solutions for coastal risk management decisions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2025.128166","usgsCitation":"Reguero, B., Gaido-Lassare, C., Storlazzi, C.D., McNulty, V., Perez, D., and Beck, M.W., 2026, Where to restore and conserve? A regional benefit cost analysis of coral reef protection and restoration for coastal flood resilience: Journal of Environmental Management, v. 397, 128166, 15 p., https://doi.org/10.1016/j.jenvman.2025.128166.","productDescription":"128166, 15 p.","ipdsId":"IP-170993","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":498342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"U.S. Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -64.65441321858593,\n 18.38265061411741\n ],\n [\n -65.08683971208158,\n 18.38265061411741\n ],\n [\n -65.08683971208158,\n 18.287140701134334\n ],\n [\n -64.65441321858593,\n 18.287140701134334\n ],\n [\n -64.65441321858593,\n 18.38265061411741\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -64.91799534519654,\n 17.811855495330647\n ],\n [\n -64.91799534519654,\n 17.657306327448765\n ],\n [\n -64.54674404449649,\n 17.657306327448765\n ],\n [\n -64.54674404449649,\n 17.811855495330647\n ],\n [\n -64.91799534519654,\n 17.811855495330647\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"397","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Reguero, Borja","contributorId":264485,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":953291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaido-Lassare, Camila","contributorId":364839,"corporation":false,"usgs":false,"family":"Gaido-Lassare","given":"Camila","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":953292,"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":953293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McNulty, Valerie","contributorId":341998,"corporation":false,"usgs":false,"family":"McNulty","given":"Valerie","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":953294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perez, Denise","contributorId":341897,"corporation":false,"usgs":false,"family":"Perez","given":"Denise","email":"","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":953295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beck, Michael W.","contributorId":259298,"corporation":false,"usgs":false,"family":"Beck","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":953296,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273304,"text":"70273304 - 2026 - Diurnal patterns of nitrous oxide fluxes from a seasonal prairie wetland","interactions":[],"lastModifiedDate":"2026-01-06T15:30:32.550008","indexId":"70273304","displayToPublicDate":"2025-12-18T09:23:57","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Diurnal patterns of nitrous oxide fluxes from a seasonal prairie wetland","docAbstract":"Wetlands have spatially and temporally dynamic nitrous oxide (N2O) fluxes. Understanding diurnal patterns in N2O fluxes in wetlands can reveal short-term drivers and improve process-based models. An automated chamber system was used to determine N2O flux rates every 2.5 to 4 h in a prairie pothole wetland in North Dakota during the 2013 to 2014 growing seasons under ponded, moist, and dry soil conditions. The wetland generally emitted N2O under all conditions, although median fluxes during ponded conditions were low over the two-year study. A significant diurnal N2O pattern was observed under dry soil conditions, but not in moist soil or ponded conditions. When soils were dry, daytime (~ 10:00–14:00; 2.43 ± 0.31 ng m-2 hr-1) and late-day (~ 14:00–18:00; 2.20 ± 0.16 ng m-2 hr-1) average N2O fluxes were 77% and 61% greater, respectively, than other times during the 24-hr diel cycle (< 1.37 ng m-2 hr-1). N2O flux was positively correlated to air (r = 0.58) and soil (r = 0.49) temperatures under dry conditions, while no significant correlations to environmental factors were observed under ponded and moist conditions. Incorporating diurnal patterns in N2O fluxes in wetlands and other ecosystems can improve extrapolations from daily to annual flux calculations and constrain global N2O inventories.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s13157-025-02017-4","usgsCitation":"Faust, D.R., Tangen, B., and Bansal, S., 2026, Diurnal patterns of nitrous oxide fluxes from a seasonal prairie wetland: Wetlands, v. 46, 1, 12 p., https://doi.org/10.1007/s13157-025-02017-4.","productDescription":"1, 12 p.","ipdsId":"IP-175229","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":498355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","county":"Stutsman County","otherGeospatial":"Cottonwood Lake Study Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.12,\n 47.12\n ],\n [\n -99.12,\n 47.09\n ],\n [\n -99.09,\n 47.09\n ],\n [\n -99.09,\n 47.12\n ],\n [\n -99.12,\n 47.12\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"46","noUsgsAuthors":false,"publicationDate":"2025-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Faust, Derek R.","contributorId":68232,"corporation":false,"usgs":true,"family":"Faust","given":"Derek","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":953286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":216177,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953288,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273376,"text":"70273376 - 2026 - Phytoplankton biomass dynamics in wet (2019) and dry (2023) years in Lake Pontchartrain estuary, Louisiana from Sentinel 2-MSI and PACE-OCI observations","interactions":[],"lastModifiedDate":"2026-01-09T16:48:56.879977","indexId":"70273376","displayToPublicDate":"2025-12-17T10:44:40","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23125,"text":"Science of the Total Environment.","active":true,"publicationSubtype":{"id":10}},"title":"Phytoplankton biomass dynamics in wet (2019) and dry (2023) years in Lake Pontchartrain estuary, Louisiana from Sentinel 2-MSI and PACE-OCI observations","docAbstract":"This study provides a comprehensive assessment of phytoplankton biomass dynamics in Lake Pontchartrain, Louisiana, by combining monthly water quality data with multispectral and hyperspectral satellite observations using a machine learning algorithm. A machine learning model based on Variational Autoencoder (VAE), globally applicable, was used to estimate phytoplankton biomass via chlorophyll-a (Chl-a) from Sentinel 2-MSI and NASA's new hyperspectral mission, PACE-OCI, enabling the first direct comparison between the two sensors. The model performed well in this complex estuarine system, with higher accuracy from PACE-OCI (MAE: 1.48, RMSE: 10.40, slope: 0.87) than Sentinel 2-MSI (MAE: 1.57, RMSE: 11.08, slope: 0.83). This approach enabled continuous high-resolution monitoring of phytoplankton biomass across space and time. Comparative analysis of 2019, a wet year with Bonnet Carré Spillway (BCS) openings, and 2023, a dry year with extremely low riverine inputs, revealed distinct biomass dynamics. In 2019, BCS discharge initially suppressed Chl-a within turbid waters (<5 mg Chl-a m−3) but later acted as a nutrient and hydrodynamic driver, transporting nutrients toward the lake outlet and Mississippi coast, promoting high biomass (25–45 mg Chl-a m−3) near the entrance. In contrast, dry conditions in 2023 led to more frequent-than-expected high biomass (>35 mg Chl-a m−3), persisting in the lake center. Similar spatial patterns were observed again in 2024, revealed for the first time by PACE-OCI. This study demonstrates the value of satellite-derived observations for capturing transient phytoplankton biomass events and highlights the potential of PACE-OCI's hyperspectral capabilities to better distinguish phytoplankton communities and improve understanding of their responses to freshwater inflows and associated processes driving pulses into estuaries.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.181126","usgsCitation":"Shrestha, S., Liu, B., Li, J., Huang, W., Baustian, M.M., D'Sa, E.J., Bargu, S., Messina, F., Georgiou, I.Y., Kumar, A., Freeman, A., and Mize, S., 2026, Phytoplankton biomass dynamics in wet (2019) and dry (2023) years in Lake Pontchartrain estuary, Louisiana from Sentinel 2-MSI and PACE-OCI observations: Science of the Total Environment., v. 1011, 181126, 18 p., https://doi.org/10.1016/j.scitotenv.2025.181126.","productDescription":"181126, 18 p.","ipdsId":"IP-182233","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":498677,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.181126","text":"Publisher Index Page"},{"id":498512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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insights","interactions":[],"lastModifiedDate":"2026-01-22T16:45:57.886812","indexId":"70273226","displayToPublicDate":"2025-12-15T09:46:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Greater white-fronted goose habitat use in Louisiana provides water depth management insights","docAbstract":"Numerous waterfowl species have altered their geographic distribution in recent decades. The greater white-fronted goose (Anser albifrons) has shifted its wintering distribution from coastal marshes in Texas and Louisiana, USA, to interior landscapes, creating challenges for conservation managers. Although the range shift has been primarily attributed to landscape-scale changes in rice production, effects of fine-scale habitat conditions on greater white-fronted goose habitat use are unknown. Thus, information on fine-scale environmental conditions could provide information to managers working to mitigate effects of the shift. We used global positioning system neck collars to monitor 78 greater white-fronted geese in Louisiana each winter during 2016–2019 and visited all used locations to record vegetation height, water depth, and land cover. We modeled greater white-fronted goose habitat use in 4 regions across Louisiana (central, coastal, north, southwest), and evaluated effects of vegetation height, water depth, land cover, and interactions. In our candidate model set, we included a sampling null, which accounted for differences in sampling frequencies among hunt seasons and diel periods. The top model in the central, coastal, and north regions included water depth, whereas the top model in the southwest region included water depth, vegetation height, and land cover. Parameter estimates and confidence intervals indicated that goose habitat use was higher at sites with >5.1 cm of water compared to dry sites or sites with <5.1 cm of water. In the southwest region, goose habitat use was highest in areas identified as other land cover (e.g., corn, cotton, rye, sugarcane) and lowest in open water. Although Louisiana has substantial anthropogenic food resources in the form of rice agriculture and abundant grazing opportunities afforded by mild winters, our results indicate that wet areas provide better habitat to greater white-fronted geese than dry areas. New agricultural flooding regimes in Louisiana could improve habitat quality and potentially mitigate some effects of the winter distribution shift.
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\"}}]}","volume":"50","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":224795,"corporation":false,"usgs":true,"family":"Beatty","given":"William S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":952790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Link, Paul T.","contributorId":364512,"corporation":false,"usgs":false,"family":"Link","given":"Paul","middleInitial":"T.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":952791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leach, Brett","contributorId":356397,"corporation":false,"usgs":false,"family":"Leach","given":"Brett","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":952792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houdek, Steven C. 0000-0001-9452-6596 shoudek@usgs.gov","orcid":"https://orcid.org/0000-0001-9452-6596","contributorId":4423,"corporation":false,"usgs":true,"family":"Houdek","given":"Steven","email":"shoudek@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":952793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952794,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274535,"text":"70274535 - 2026 - Effects of ungulate browsing on forest assisted migration strategies to conserve ecosystem function","interactions":[],"lastModifiedDate":"2026-03-31T15:42:37.444512","indexId":"70274535","displayToPublicDate":"2025-12-13T10:36:25","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of ungulate browsing on forest assisted migration strategies to conserve ecosystem function","docAbstract":"Forest managers recognize that proactive management strategies, such as forest assisted migration (FAM) of tree species, intended to accelerate the pace of forest adaptation, may be necessary to maintain resilient forests and combat the stressors of climate change. However, the impact of interactions between climate change and ungulate browsers of trees, both of which have profound effects on the landscape, on the success of FAM efforts is unknown. We used a forest landscape model (LANDIS-II) to simulate assisted migration and browsing by ungulate (white-tailed deer [Odocoileus virginianus]) populations on a northern Wisconsin (USA) landscape under alternate climate futures. After accounting for effects of FAM strategy and climate change scenario, simulated ungulate browsing reduced species richness and the proportion of the landscape with tree species preferred by browsers and resulted in more of the landscape developing into novel forest communities that supported fewer ecosystem goods and services. Our results suggest that managers may need to select FAM species less preferred by ungulates or use seedling protection measures to mitigate the negative effects of chronically high ungulate populations in efforts to transition future forests to sustain ecosystem goods and services.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.70198","usgsCitation":"Gustafson, E.J., De Jager, N.R., McGraw, A.M., Kern, C.C., and Kabrick, J.M., 2026, Effects of ungulate browsing on forest assisted migration strategies to conserve ecosystem function: Conservation Biology, v. 40, no. 2, e70198, 14 p., https://doi.org/10.1111/cobi.70198.","productDescription":"e70198, 14 p.","ipdsId":"IP-171512","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":501867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.9,\n 45.5\n ],\n [\n -88.9,\n 45\n ],\n [\n -88.333,\n 45\n ],\n [\n -88.333,\n 45.5\n ],\n [\n -88.9,\n 45.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Gustafson, Eric J.","contributorId":368942,"corporation":false,"usgs":false,"family":"Gustafson","given":"Eric","middleInitial":"J.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":958144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":958145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGraw, Amanda M.","contributorId":368943,"corporation":false,"usgs":false,"family":"McGraw","given":"Amanda","middleInitial":"M.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":958146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kern, Christel C.","contributorId":368944,"corporation":false,"usgs":false,"family":"Kern","given":"Christel","middleInitial":"C.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":958147,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kabrick, John M.","contributorId":368945,"corporation":false,"usgs":false,"family":"Kabrick","given":"John","middleInitial":"M.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":958148,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273223,"text":"70273223 - 2026 - Multi-scale geophysical mapping of the brine and bedrock surfaces along the Dolores River, Paradox Valley, Colorado, December 2023","interactions":[],"lastModifiedDate":"2026-02-09T16:18:21.216938","indexId":"70273223","displayToPublicDate":"2025-12-12T09:32:25","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2850,"text":"Near Surface Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale geophysical mapping of the brine and bedrock surfaces along the Dolores River, Paradox Valley, Colorado, December 2023","docAbstract":"Total dissolved solids derived from salt dome–sourced brine in the underlying alluvial aquifer substantially increase with distance in the reach of the Dolores River that passes through Paradox Valley in southwestern Colorado. The area has been the site of salinity control operations since the 1990s to reduce salt loading to the downstream Colorado River. Previous airborne and ground/water-based electromagnetic (EM) geophysical data have successfully mapped the top of the brine surface, albeit with relatively coarse near-surface resolution and limited spatial coverage. This present December 2023 study used ground-based high-resolution EM and passive seismic (horizontal-to-vertical spectral ratio, HVSR) tools to map in detail the depth and thickness of the brine zone in the alluvial aquifer (top of the brine down to bedrock contact) in areas immediately surrounding the Dolores River where previous airborne EM (AEM) results indicated brine within 10 m of land surface. Results indicate the deepest bedrock is generally associated with the shallowest brine and local depressions in the collapse breccia (caprock to the Paradox Formation salt) may facilitate vertical migration of brine into the alluvial aquifer. Additionally, the ground-based EM mapping corroborated general patterns in depth to brine that were observed in previous AEM results while also revealing additional detail, including suspected focused brine discharge zones to the Dolores River. A river-based survey wherein EM data, channel depth and river water–specific conductance information were collected augmented these findings and indicated specific areas on both the western and eastern sides of the river where focused brine discharge may occur. This study comprises a large-scale, ground- and water-based geophysical mapping effort, including hundreds of HVSR soundings and 100s of kilometres of EM data, which were successfully translated into digital brine and bedrock surfaces that could be incorporated into groundwater modelling efforts, future well siting or other decision-making.
","language":"English","publisher":"Wiley","doi":"10.1002/nsg.70032","usgsCitation":"Terry, N., Mast, M.A., Creighton, A.L., Homan, J.W., Newman, C.P., and Paschke, S.S., 2026, Multi-scale geophysical mapping of the brine and bedrock surfaces along the Dolores River, Paradox Valley, Colorado, December 2023: Near Surface Geophysics, v. 24, no. 1, p. 36-49, https://doi.org/10.1002/nsg.70032.","productDescription":"14 p.","startPage":"36","endPage":"49","ipdsId":"IP-171913","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":497869,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498045,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nsg.70032","text":"Publisher Index Page"}],"country":"United States","state":"Colorado","otherGeospatial":"Dolores River, Paradox Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.932,\n 38.378\n ],\n [\n -108.932,\n 38.292\n ],\n [\n -108.797,\n 38.292\n ],\n [\n -108.797,\n 38.378\n ],\n [\n -108.932,\n 38.378\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":952784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":211054,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Creighton, Andrea L. 0000-0003-3183-5396","orcid":"https://orcid.org/0000-0003-3183-5396","contributorId":268162,"corporation":false,"usgs":true,"family":"Creighton","given":"Andrea","email":"","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Homan, Joel William 0000-0002-6709-123X","orcid":"https://orcid.org/0000-0002-6709-123X","contributorId":315495,"corporation":false,"usgs":true,"family":"Homan","given":"Joel","email":"","middleInitial":"William","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952787,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952788,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paschke, Suzanne S. 0000-0002-3471-4242 spaschke@usgs.gov","orcid":"https://orcid.org/0000-0002-3471-4242","contributorId":1347,"corporation":false,"usgs":true,"family":"Paschke","given":"Suzanne","email":"spaschke@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952789,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273084,"text":"70273084 - 2026 - A time-space model of graphite mineral systems","interactions":[],"lastModifiedDate":"2026-03-23T14:05:12.786795","indexId":"70273084","displayToPublicDate":"2025-12-12T09:03:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"A time-space model of graphite mineral systems","docAbstract":"Increasing demand for graphite in energy storage systems warrants review of graphite ore genesis in a mineral systems framework. Orogenic graphite encompasses the metamorphic and orogenic mineral systems that produce flake graphite and hydrothermal vein (lump and chip) graphite deposits, respectively. A common feature of orogenic graphite deposits is an association with upper amphibolite- to granulite-facies metasedimentary rocks in continent-continent or continent-island arc collisional orogens. Orogenic flake graphite deposits form primarily through graphitization of organic carbon during regional metamorphism, but strain localization and partial melting of pelitic protoliths are likely important processes for graphite grade and quality enrichment. Orogenic vein graphite deposits precipitate from hydrothermal fluids, possibly derived from metamorphism or anatexis at depth. Decarbonation reactions in mixed calcareous-carbonaceous metasedimentary sequences are the most likely carbon sources for the veins. In contrast, intrusion-related graphite includes magmatic-hydrothermal and metamorphic mineral systems that form primarily in continental arc settings via the interaction of magmas with carbonaceous sedimentary packages. Magmatic-hydrothermal flake graphite deposits are hosted in plutonic and volcanic rocks, and result from the exsolution of CO2-CH4-rich fluids from melts contaminated by such packages. Contact metamorphism of carbonaceous sedimentary rocks by plutons produces some microcrystalline (amorphous) graphite deposits, including many in China. Compilation of geologic data from known graphite deposits globally suggests that pulses of carbon deposition in the Paleoproterozoic, Mesoproterozoic, and Neoproterozoic provided source carbon material. Subsequent supercontinent orogenesis at ca. 2,100 to 1,700 Ma (Columbia), ca. 1,300 to 1,000 Ma (Rodinia), and ca. 650 to 500 Ma (Gondwana) resulted in the genesis of orogenic flake and vein graphite deposits, where favorable geologic components overlapped with organic ± carbonate carbon-rich strata. Cryogenian deposition of graphite protoliths and Cryogenian – Cambrian metamorphic mineralization account for nearly 75% of all known resources globally and coincide with profound carbon isotope excursions and climate variability, implying a link with the global carbon budget. Comparatively few graphite deposits are associated with Pangea-forming orogens, attributed to less exhumation and/or denudation. High-temperature metasedimentary belts containing organic carbon-rich protoliths are most favorable for hosting orogenic flake graphite deposits, whereas sequences that also contain carbonate protoliths are favorable for orogenic graphite veins. Continent-scale orogenic belts may host both deposit types along with vanadium deposits. Use of a time-space mineral systems framework for graphite deposits can improve exploration models needed to ensure future supply of this critical mineral and provide insights into Earth’s long-term carbon cycle.
","language":"English","publisher":"Springer","doi":"10.1007/s00126-025-01412-5","usgsCitation":"Case, G.N., 2026, A time-space model of graphite mineral systems: Mineralium Deposita, v. 61, p. 783-810, https://doi.org/10.1007/s00126-025-01412-5.","productDescription":"28 p.","startPage":"783","endPage":"810","ipdsId":"IP-177742","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":497464,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497697,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00126-025-01412-5","text":"Publisher Index Page"}],"volume":"61","noUsgsAuthors":false,"publicationDate":"2025-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Case, George N.D. 0000-0001-9826-5661 gcase@usgs.gov","orcid":"https://orcid.org/0000-0001-9826-5661","contributorId":224941,"corporation":false,"usgs":true,"family":"Case","given":"George","email":"gcase@usgs.gov","middleInitial":"N.D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":952260,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70273205,"text":"70273205 - 2026 - From sample to sonde to Sentinel-2: Insights from a multi-scale chlorophyll-a monitoring effort in the Hudson River, New York","interactions":[],"lastModifiedDate":"2025-12-19T14:48:05.059591","indexId":"70273205","displayToPublicDate":"2025-12-09T08:42:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"From sample to sonde to Sentinel-2: Insights from a multi-scale chlorophyll-a monitoring effort in the Hudson River, New York","docAbstract":"Monitoring cyanobacteria and other nuisance phytoplankton in the Hudson River is of great interest given its societal and ecological importance. Satellite remote sensing provides a cost-effective method to monitor chlorophyll-a (chl-a), a common proxy for algal biomass; however, the dynamic nature of rivers complicates approaches traditionally applied to lakes and oceans. During 2021–2023, we collected discrete samples for laboratory measurement of chl-a and measured in situ chl-a fluorescence during a series of longitudinal boat surveys along a 220-km reach of the lower Hudson River. Surveys were timed to coincide with Sentinel-2 satellite overpasses. We first investigated relations between laboratory-measured chl-a concentration and field-measured chl-a fluorescence, observing a weak correlation (r2 = 0.25) that improved substantially after splitting data by day (mean r2 = 0.53). Separately, to estimate chl-a fluorescence using satellite data, we developed a series of random forest models leveraging the rich fluorescence dataset collected. We tested three model types: individual day models, leave-one-out models trained on all days except a holdout test day, and a single pooled model trained on all days. Generally, individual day models exhibited lowest error (mean of mean absolute error [MAE] = 0.16 relative fluorescence units [RFU]), followed by the single pooled model (MAE = 0.22 RFU). Daily holdout models showed highest error (mean MAE = 0.40 RFU); this approach was intended to represent model performance on a day unseen in the training set, providing a more conservative estimate of performance than the more traditional pooled approach. Findings from both analyses emphasize the importance of considering temporal variability when modeling riverine systems.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10661-025-14844-3","usgsCitation":"Salls, W.B., Welk, R., King, T.V., Scavotto, N., Gorney, R.M., Gifford, S.R., Stouder, M.D., Nystrom, E.A., and Graham, J.L., 2026, From sample to sonde to Sentinel-2: Insights from a multi-scale chlorophyll-a monitoring effort in the Hudson River, New York: Environmental Monitoring and Assessment, v. 198, 25, 30 p., https://doi.org/10.1007/s10661-025-14844-3.","productDescription":"25, 30 p.","ipdsId":"IP-176108","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":498038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-025-14844-3","text":"Publisher Index Page"},{"id":497763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, New York","otherGeospatial":"Hudson River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.53385971301769,\n 42.80598359016898\n ],\n [\n -74.21892882912005,\n 42.80598359016898\n ],\n [\n -74.21892882912005,\n 40.6507605560374\n ],\n [\n -73.53385971301769,\n 40.6507605560374\n ],\n [\n -73.53385971301769,\n 42.80598359016898\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"198","noUsgsAuthors":false,"publicationDate":"2025-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Salls, Wilson Barg 0000-0001-7505-0828","orcid":"https://orcid.org/0000-0001-7505-0828","contributorId":364473,"corporation":false,"usgs":true,"family":"Salls","given":"Wilson","middleInitial":"Barg","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welk, 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Hawaii","interactions":[],"lastModifiedDate":"2025-12-16T16:06:00.176799","indexId":"70273145","displayToPublicDate":"2025-12-05T10:01:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Growth of a passive lava lake during the 2020–2021 eruption of Kīlauea volcano, Hawaii","docAbstract":"We investigate the growth of a passive lava lake in Halemaʻumaʻu crater during the December 2020 to May 2021 eruption of Kīlauea volcano, Hawaii. Fed by vents above their surfaces, the formation of passive lava lakes in topographic lows is an important process in the growth of basaltic volcanoes. We captured visible and thermal images during 17 helicopter overflights and applied structure-from-motion photogrammetry to create digital elevation models and orthomosaics of Halemaʻumaʻu. These data products allowed us to track eruptive activity and processes. The bulk time-averaged discharge rate (TADR) in December 2020 initially exceeded 100 m3 s–1 but decreased to < 10 m3 s–1 within seven days. By February 2021, TADR was < 2 m3 s–1 and continued to decrease until the eruption ended in May 2021. A total volume of 40.6 ± 0.5 × 106 m3 of lava filled Halemaʻumaʻu to a depth of 225 m. As TADR decreased, the lake progressively developed an immobile, solidified crust, beginning with surfaces farthest from the vent. This immobile surface rose endogenously, whereas exogenous surface rise occurred near the vent. Eruptive activity at a vent ended when the level of the lake surface exceeded that of the vent, which we attribute to the effects of lava sitting above the vent on ascending magma. Regular helicopter overflights, combined with field observations and the extensive monitoring network at Kīlauea, generated an unprecedented density of observations that provide insights into the emplacement of passive lava lakes and how these eruptions wane and end.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-025-01867-4","usgsCitation":"Carr, B.B., Patrick, M.R., Dietterich, H., Zoeller, M.H., Parcheta, C., Downs, D.T., Nadeau, P.A., and Hamilton, C., 2026, Growth of a passive lava lake during the 2020–2021 eruption of Kīlauea volcano, Hawaii: Bulletin of Volcanology, v. 88, 1, 17 p., https://doi.org/10.1007/s00445-025-01867-4.","productDescription":"1, 17 p.","ipdsId":"IP-172169","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":497575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.3996270560572,\n 19.406817847190297\n ],\n [\n -155.44193382668337,\n 19.153764121714516\n ],\n [\n -155.2427073977343,\n 19.256567923381994\n ],\n [\n -155.10309505466768,\n 19.277262673850416\n ],\n [\n -154.8692547206449,\n 19.417337433002288\n ],\n [\n -154.79848703159735,\n 19.493855712612287\n ],\n [\n -154.80925602775673,\n 19.535907238422254\n ],\n [\n -154.9434838727438,\n 19.60983335285802\n ],\n [\n -155.3996270560572,\n 19.406817847190297\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2025-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Carr, Brett B. 0000-0002-1033-3082","orcid":"https://orcid.org/0000-0002-1033-3082","contributorId":305984,"corporation":false,"usgs":true,"family":"Carr","given":"Brett","email":"","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zoeller, Michael H. 0000-0003-4716-8567","orcid":"https://orcid.org/0000-0003-4716-8567","contributorId":214557,"corporation":false,"usgs":true,"family":"Zoeller","given":"Michael","email":"","middleInitial":"H.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parcheta, Carolyn 0000-0001-6556-4630 cparcheta@usgs.gov","orcid":"https://orcid.org/0000-0001-6556-4630","contributorId":215617,"corporation":false,"usgs":true,"family":"Parcheta","given":"Carolyn","email":"cparcheta@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952447,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nadeau, Patricia A. 0000-0002-6732-3686","orcid":"https://orcid.org/0000-0002-6732-3686","contributorId":215616,"corporation":false,"usgs":true,"family":"Nadeau","given":"Patricia","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952448,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hamilton, Christoper","contributorId":189479,"corporation":false,"usgs":false,"family":"Hamilton","given":"Christoper","email":"","affiliations":[],"preferred":false,"id":952449,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70272750,"text":"70272750 - 2026 - Environmental tradeoffs of urban stream restoration in Fairfax County, Virginia","interactions":[],"lastModifiedDate":"2025-12-09T14:24:46.399188","indexId":"70272750","displayToPublicDate":"2025-12-05T09:59:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Environmental tradeoffs of urban stream restoration in Fairfax County, Virginia","docAbstract":"Regulatory mandates to improve water quality and stream health have driven substantial investment in stream restoration. Most projects aim to improve channel-floodplain connectivity, reduce sediment erosion, and enhance habitat for aquatic organisms, yet few include adequate pre- and post-restoration monitoring to assess outcomes. Since 2007, Fairfax County, Virginia, and the U.S. Geological Survey have partnered to monitor and evaluate water-quality conditions in Flatlick Branch. In 2018, a 1.72-km reach of stream above the monitoring station was restored using a Natural Channel Design approach. This study applied the Stream Functions Pyramid (SFP) framework to evaluate restoration tradeoffs. Post-restoration, watershed hydrology remained largely unchanged, but channel modifications increased flow capacity, reduced velocity, and further disconnected the channel from the floodplain. Nutrient and sediment reductions exceeded expected amounts, but the removal of over 20 % of riparian tree canopy increased physicochemical variability and the frequency and magnitude of water temperature heatwaves. Post-restoration, state standards for low dissolved oxygen and elevated pH were exceeded 2.5 and 7.5 times more often, respectively. Gross primary production and ecosystem respiration increased and organic matter sources supporting metabolism shifted from allochthonous to autochthonous. Trends in several benthic macroinvertebrate metrics, which were improving prior to construction, have since plateaued or declined, and the fish assemblage shifted from a native minnow dominated community to non-native, warmwater tolerant taxa. This study highlights the need for comprehensive assessments of stream restoration and benefits of using the SFP to understand the consequences and possible tradeoffs of different ecosystem management decisions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2025.107866","usgsCitation":"Porter, A.J., Ruck, C.M., and Tassone, S.J., 2026, Environmental tradeoffs of urban stream restoration in Fairfax County, Virginia: Ecological Engineering, v. 224, 107866, 21 p., https://doi.org/10.1016/j.ecoleng.2025.107866.","productDescription":"107866, 21 p.","ipdsId":"IP-179952","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":497417,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2025.107866","text":"Publisher Index Page"},{"id":497191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Fairfax 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Aaron J. 0000-0002-0781-3309","orcid":"https://orcid.org/0000-0002-0781-3309","contributorId":239980,"corporation":false,"usgs":true,"family":"Porter","given":"Aaron","email":"","middleInitial":"J.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruck, Christopher M.","contributorId":363394,"corporation":false,"usgs":false,"family":"Ruck","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86691,"text":"Fairfax County Department of Public Works and Environmental Services","active":true,"usgs":false}],"preferred":false,"id":951599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tassone, Spencer John 0000-0002-9340-7170","orcid":"https://orcid.org/0000-0002-9340-7170","contributorId":363395,"corporation":false,"usgs":true,"family":"Tassone","given":"Spencer","middleInitial":"John","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273093,"text":"70273093 - 2026 - Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools","interactions":[],"lastModifiedDate":"2025-12-15T15:39:54.921371","indexId":"70273093","displayToPublicDate":"2025-12-02T09:35:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools","docAbstract":"Although coastal ecosystems are impacted by climate change and sea-level rise, many ecological and hydrological models do not yet incorporate sea-level rise projections in their modeling outputs. Therefore, this research examined the various challenges that may prevent sea-level rise from being effectively incorporated in modeling and decision-support tools. We conducted semi-structured interviews with twenty-six professionals involved in Florida’s Everglades restoration. We applied the Diffusions of Innovations Theory to better understand factors that can impact practitioners’ adoption of newly designed decision-support tools that examine sea-level rise in the freshwater Everglades. The Diffusions of Innovations Theory provided insights into practitioners’ perceptions of these tools. We found that these practitioners have a strong interest in using dynamic decision-support tools to plan for sea-level rise impacts on Everglades restoration, particularly when they receive information at appropriate geographic and temporal scales and are given hands-on tools and training. However, challenges that prevent developing these tools include outdated data, limited organizational capacity and funding, limited use of long-term indicators, uncertainty about climate change impacts on local ecosystems, and lack of integration between hydrological and ecological models. Our research also highlights that greater availability of different types of tools can help to meet the needs of the scientific and non-scientific audiences involved in Everglades restoration.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-025-02320-0","usgsCitation":"Castellano, S., Clarke, M., D’Acunto, L., Romanach, S., and Cadaval, S., 2026, Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools: Environmental Management, v. 76, 28, 16 p., https://doi.org/10.1007/s00267-025-02320-0.","productDescription":"28, 16 p.","ipdsId":"IP-178284","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497721,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-025-02320-0","text":"Publisher Index Page"},{"id":497522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.69704710537333,\n 26.24594963141459\n ],\n [\n -81.83007585797539,\n 26.06420285323432\n ],\n [\n -81.11975251860886,\n 25.0512667434422\n ],\n [\n -80.33663986178148,\n 25.19217542692222\n ],\n [\n -80.18604127393009,\n 26.735626731938453\n ],\n [\n -81.69704710537333,\n 26.24594963141459\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"76","noUsgsAuthors":false,"publicationDate":"2025-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Castellano, Stephanie","contributorId":353362,"corporation":false,"usgs":false,"family":"Castellano","given":"Stephanie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clarke, Mysha","contributorId":353361,"corporation":false,"usgs":false,"family":"Clarke","given":"Mysha","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":213745,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cadaval, Stephanie","contributorId":364187,"corporation":false,"usgs":false,"family":"Cadaval","given":"Stephanie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952304,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273163,"text":"70273163 - 2026 - Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment","interactions":[],"lastModifiedDate":"2026-02-24T16:36:22.478591","indexId":"70273163","displayToPublicDate":"2025-12-01T09:08:13","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment","title":"Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment","docAbstract":"Observations of the Evening Bat (Nycticeius humeralis), a species historically distributed abundantly throughout the southeastern United States, are speculated to have increased in the Midwest. One hypothesis for this expansion in geographic distribution is that local extirpations of other bat species resulted in the expanded realized niche spaces for evening bats. In Indiana, such niche spaces may have been created by declines in populations of the Northern Long-eared Bat (Myotis septentrionalis), Indiana Bat (M. sodalis), Little Brown Bat (M. lucifugus), Big Brown Bat (Eptesicus fuscus), and the Tri-colored Bat (Perimyotis subflavus) due to white-nose syndrome (WNS). Our goal was to estimate the occupancy of Evening Bat in Indiana post-WNS establishment relative to the occupancy of other bat species before significant population declines caused by WNS. We expected that indices of occupancy of nearly extirpated species pre-WNS establishment would best predict current Evening Bat observations, and this would elucidate the niche space evening bats are now filling. We hypothesized that Evening Bat populations may be expanding their geographic range due to compensatory community dynamics, and that their realized niche space may be expanding in part due to losses of other bat species from WNS. We constructed multi-season Bayesian occupancy models using informative priors and integrative prior knowledge to test our predictions. We found that evening bats are occupying the niche space they were already occupying pre-WNS establishment. Furthermore, our results indicate that evening bats may be filling the niche space left behind by Myotis spp. (M. sodalis and M. lucifigus). These results can help us understand the dynamics of bat communities in a post-WNS establishment landscape and may also help to inform conservation of imperiled Myotis species.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyaf078","usgsCitation":"Martinez, S.B., D’Acunto, L., Westrich, B.J., Bergeson, S.M., and Zollner, P.A., 2025, Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment: Journal of Mammalogy, https://doi.org/10.1093/jmammal/gyaf078.","productDescription":"11 p.","startPage":"135","endPage":"145","ipdsId":"IP-166556","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497633,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Martinez, Sally B. 0009-0005-5869-4425","orcid":"https://orcid.org/0009-0005-5869-4425","contributorId":364343,"corporation":false,"usgs":false,"family":"Martinez","given":"Sally","middleInitial":"B.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":952556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westrich, Bradford J. 0000-0003-2512-2859","orcid":"https://orcid.org/0000-0003-2512-2859","contributorId":364344,"corporation":false,"usgs":false,"family":"Westrich","given":"Bradford","middleInitial":"J.","affiliations":[{"id":55448,"text":"Indiana Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergeson, Scott M. 0000-0003-2956-4689","orcid":"https://orcid.org/0000-0003-2956-4689","contributorId":364345,"corporation":false,"usgs":false,"family":"Bergeson","given":"Scott","middleInitial":"M.","affiliations":[{"id":86812,"text":"Purdue University Fort Wayne","active":true,"usgs":false}],"preferred":false,"id":952559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zollner, Patrick A. 0000-0001-8263-7029","orcid":"https://orcid.org/0000-0001-8263-7029","contributorId":364346,"corporation":false,"usgs":false,"family":"Zollner","given":"Patrick","middleInitial":"A.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":952560,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273249,"text":"70273249 - 2026 - Assessing the topographic distribution of legacy soil phosphorus in agricultural fields of the Delmarva Peninsula, Mid-Atlantic Coastal Plain, USA","interactions":[],"lastModifiedDate":"2025-12-23T15:04:34.80313","indexId":"70273249","displayToPublicDate":"2025-11-25T08:51:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the topographic distribution of legacy soil phosphorus in agricultural fields of the Delmarva Peninsula, Mid-Atlantic Coastal Plain, USA","docAbstract":"Phosphorus (P) management remains a challenge in agricultural watersheds. The Choptank River Conservation Effects Assessment Project watershed, located in Maryland and Delaware and draining to the Chesapeake Bay, contains legacy soil P from historical dairy and poultry manure applications. These practices elevated soil P beyond crop needs, contributing to persistent P export to aquatic ecosystems. We assessed spatial P distribution and analyzed GIS (Geographic Information Systems)-derived landscape features driving legacy P movement on a farm (47 ha). We hypothesized that P accumulates in drained lowlands and depressional areas due to gravity-driven processes that accelerate P-enriched water to receiving waters via overland flow. In collaboration with the US Department of Agriculture Legacy P project, we collected 105 soil samples (0- to 5-cm and 5- to 15-cm depths) and 14 ditch sediment samples across five topographic openness classes from a farm with >100 years of dairy manure application. Average Mehlich-III P concentrations were 218 and 179 mg kg−1 at 0- to 5-cm and 5- to 15-cm depths, respectively, with legacy areas defined by P content > 100 mg kg−1. Soil P and clay particle size were positively correlated (r = 0.42, p < 0.05), increased as landscape openness decreased, and were negatively correlated with topographic openness (ranging from −0.2 to −0.4, p < 0.05), indicating accumulation of P and clay in low-lying areas. These patterns suggest that historical field-level managements have primarily shaped P distribution, while hydrologic and landscape properties further influence its redistribution via transport pathways and drainage. These findings support the development of landscape models to map critical source areas in low-relief watersheds and guide targeted mitigation in high-risk P export zones.
","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/jeq2.70101","usgsCitation":"Foroughi, M., Du, L., Scott, I.P., Hively, W.D., Simpson, Z.P., Smith, Z.J., Hapeman, C.J., Rabenhorst, M.C., Weil, R.R., and McCarty, G.W., 2026, Assessing the topographic distribution of legacy soil phosphorus in agricultural fields of the Delmarva Peninsula, Mid-Atlantic Coastal Plain, USA: Journal of Environmental Quality, v. 55, no. 1, e70101, 15 p., https://doi.org/10.1002/jeq2.70101.","productDescription":"e70101, 15 p.","ipdsId":"IP-179707","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":498053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.70101","text":"Publisher Index Page"},{"id":497935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Tuckahoe Creek watershed","volume":"55","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Foroughi, Maryam","contributorId":364546,"corporation":false,"usgs":false,"family":"Foroughi","given":"Maryam","affiliations":[{"id":86840,"text":"University of Maryland (UMD), Department of Environmental Science & Technology, College Park, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Du, Ling","contributorId":224056,"corporation":false,"usgs":false,"family":"Du","given":"Ling","email":"","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":952852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Isis P","contributorId":364547,"corporation":false,"usgs":false,"family":"Scott","given":"Isis","middleInitial":"P","affiliations":[{"id":86842,"text":"Kansas State University, Department of Biological and Agricultural Engineering, Manhattan, Kansas, USA","active":true,"usgs":false}],"preferred":false,"id":952853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hively, W. 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Multi-population models are useful tools for integrating diverse datasets, reducing biases, and deriving survival estimates across differing spatial scales. We conducted a range-wide, multi-population apparent annual survival analysis for a declining songbird, Vermivora chrysoptera (Golden-winged Warbler), using data from 18 sites across its breeding and nonbreeding grounds. This Nearctic-Neotropical migrant breeds in 2 disjunct regional populations, the Great Lakes and Appalachian Mountains, which are experiencing different rates of decline. We aimed to quantify regional-, site-, and sex-specific apparent annual survival estimates to identify geographic patterns or demographic factors influencing population declines. We used simulations to assess the precision of our estimates. Our models did not reveal a substantial difference in apparent annual survival between the Great Lakes (0.41, 95% credible interval (CrI):0.31–0.50) and the Appalachian regions (0.49, 95% CrI: 0.36–0.60), as CrIs overlapped. Site-specific estimates also showed no clear differences in apparent annual survival among sites representing both regional populations. Male apparent annual survival tended to be greater than female apparent annual survival in both regions, though CrI’s overlapped. Our study suggests demographic factors other than adult annual survival likely play a larger role in recent regional and range-wide population declines, such as productivity, juvenile/immature survival, or recruitment. Simulations indicate that improving recapture probability and study duration of datasets could lead to more precise apparent annual survival estimates. However, our model produced CrI ranges comparable to the most ideal data collection scenario, suggesting the lack of trends we found was not due to variability in our estimates. We stress the importance of addressing inherent biases in survival datasets and the need for standardized collaborative efforts to inform species conservation on a range-wide scale.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithology/ukaf049","usgsCitation":"Filiberti, E.N., Roth, A.M., Thogmartin, W.E., Royal, E.J., Aldinger, K.R., Bennett, R.E., Buehler, D.A., Bulluck, L.P., Canterbury, R.A., Chandler, R., Clements, S.J., Fiss, C.J., Hobson, K.A., Jones, J.A., King, D., Kramer, G.R., Larkin, J.L., McNeil, D.J., Ritterson, J.D., Buckardt Thomas, A., Vallender, R., Van Wilgenburg, S.L., and Wood, P.B., 2026, Apparent annual survival of adult Golden-winged Warblers (Vermivora chrysoptera) may not differ by sex or region: Ornithology, v. 143, no. 1, p. 1-13, https://doi.org/10.1093/ornithology/ukaf049.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-177249","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496993,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Filiberti, Emily N.","contributorId":363159,"corporation":false,"usgs":false,"family":"Filiberti","given":"Emily","middleInitial":"N.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":951198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roth, Amber M.","contributorId":363161,"corporation":false,"usgs":false,"family":"Roth","given":"Amber","middleInitial":"M.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":951199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 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Anna","contributorId":343310,"corporation":false,"usgs":false,"family":"Buckardt Thomas","given":"Anna","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":951217,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Vallender, Rachel","contributorId":194966,"corporation":false,"usgs":false,"family":"Vallender","given":"Rachel","email":"","affiliations":[{"id":34540,"text":"Canadian Museum of Nature","active":true,"usgs":false},{"id":27312,"text":"Canadian Wildlife Service, Environment and Climate Change Canada, 6 Bruce Street, Mount","active":true,"usgs":false}],"preferred":false,"id":951218,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Van Wilgenburg, Steven L.","contributorId":363180,"corporation":false,"usgs":false,"family":"Van Wilgenburg","given":"Steven","middleInitial":"L.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":951219,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Wood, Petra B.","contributorId":305342,"corporation":false,"usgs":false,"family":"Wood","given":"Petra","email":"","middleInitial":"B.","affiliations":[{"id":66214,"text":"West Virginia Cooperative Fish and Wildlife Research Unit,","active":true,"usgs":false}],"preferred":false,"id":951220,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}} ,{"id":70272591,"text":"70272591 - 2026 - Year-round daytime pCO2 undersaturation in an instream series of urban reservoirs with a history of harmful algal blooms","interactions":[],"lastModifiedDate":"2026-02-09T16:08:11.743228","indexId":"70272591","displayToPublicDate":"2025-10-23T08:11:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Year-round daytime pCO2 undersaturation in an instream series of urban reservoirs with a history of harmful algal blooms","title":"Year-round daytime pCO2 undersaturation in an instream series of urban reservoirs with a history of harmful algal blooms","docAbstract":"Daytime water quality was determined monthly over two years in an instream series of four urban reservoirs with recurring blooms of Prymnesium parvum—a cool-season toxigenic species. Temperature, pH, and laboratory-measured total alkalinity were used to estimate pCO2. System-wide, pCO2 was negatively associated with dissolved oxygen. Chlorophyll-a, phycocyanin (cyanobacterial pigment), and P. parvum were negatively associated with pCO2 and positively with dissolved oxygen. Three reservoirs were productive and, during daytime, pCO2-undersaturated year-round or near-year-round, while a fourth (third in the series) was unproductive and mostly pCO2-oversaturated. Seasonal phycocyanin and chlorophyll-a patterns indicated that cyanobacterial and eukaryotic (P. parvum included) phytoplankton growth drives daytime CO2 depletion in the productive reservoirs during the warm and cool seasons, respectively. The system’s moderate alkalinity (HCO3−) may serve as an alternative carbon source for photosynthesis; however, the persistent depletion of CO2 and the energetic cost of using HCO3− are consistent with a scenario where phytoplankton growth is CO2-limited. Daytime pCO2 undersaturation across seasons has been rarely reported, but this study indicated it occurs more often than recognized. The non-monotonic spatial patterns in productivity and carbonate system conditions across the study reservoirs indicate that localized influences from a heterogeneous urban landscape may help shape individual lake metabolism.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/20442041.2025.2544581","usgsCitation":"Patino, R., and Lehker, S., 2026, Year-round daytime pCO2 undersaturation in an instream series of urban reservoirs with a history of harmful algal blooms: Inland Waters, v. 16, no. 1, 2544581, 15 p., https://doi.org/10.1080/20442041.2025.2544581.","productDescription":"2544581, 15 p.","ipdsId":"IP-171218","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496823,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Lubbock","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -101.93988097783505,\n 33.64162038185367\n ],\n [\n -101.93988097783505,\n 33.52159454590185\n ],\n [\n -101.77150820869511,\n 33.52159454590185\n ],\n [\n -101.77150820869511,\n 33.64162038185367\n ],\n [\n -101.93988097783505,\n 33.64162038185367\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lehker, Samantha","contributorId":362957,"corporation":false,"usgs":false,"family":"Lehker","given":"Samantha","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":950879,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70272053,"text":"70272053 - 2026 - Sedimentological and geochemical characterization of lacustrine deposits of the Babouri-Figuil basin, northern Cameroon: Implications for source rocks distribution and petroleum exploration","interactions":[],"lastModifiedDate":"2025-11-14T16:30:36.885339","indexId":"70272053","displayToPublicDate":"2025-10-21T08:35:22","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2147,"text":"Journal of African Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Sedimentological and geochemical characterization of lacustrine deposits of the Babouri-Figuil basin, northern Cameroon: Implications for source rocks distribution and petroleum exploration","docAbstract":"The West and Central African Rift System (WCARS) refers to the series of Cretaceous rift basins where commercial hydrocarbon accumulations have been discovered. Some of the WCARS frontier basins are currently being investigated to increase our understanding of these basins in light of new commercial discoveries. The present study was performed in the Babouri-Figuil Basin (BFB), which is genetically related to the WCARS and constitutes an area of interest in terms of petroleum prospecting, where the distribution of petroleum source rocks and potential targets for petroleum exploration across the entire basin is poorly understood. For the current study, an integrated facies analysis along with organic and inorganic geochemical techniques were applied to the basin's Cretaceous deposits with the aim of reconstructing the paleodepositional environment, assessing factors that triggered the input of organic matter, and providing a spatial overview of the organic matter accumulation in the basin based on outcrop samples. An alluvial fan-lacustrine-braided river system is inferred from the facies analysis of the stratigraphic sequence consisting of conglomerate, sandstone, siltstone, limestone, marlstone, and claystone. Bulk analysis of organic matter reveals that black shale and massive claystone are the main prospective petroleum source rocks in the basin. Inorganic geochemical analyses reveal the influence of anoxic conditions, moderate to high primary productivity, and low terrigenous inputs in organic matter enrichment. The formations rich in organic matter are predominantly concentrated in the western and eastern parts of the basin which may represent areas with depressions, characterized by high accommodation space. In terms of the regional context of the WCARS rift basins, typical hydrocarbon exploration in the BFB may target basal-conglomerate, sandstone beds situated directly above or/and interbedded with the Lower Cretaceous source rocks, and the Upper Cretaceous sandstone beds. Basement rocks (granite, granodiorite, and gneisses) and oil shale deposits may represent potential unconventional hydrocarbon exploration. The current integrated study provides an insight that should guide future hydrocarbon exploration campaigns in the basin.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jafrearsci.2025.105894","usgsCitation":"Manga, W.G., Hackley, P.C., Bessong, M., Hatcherian, J.J., Ashukem, E.K., Guedala, A., Meying, A., and Samankassou, E., 2026, Sedimentological and geochemical characterization of lacustrine deposits of the Babouri-Figuil basin, northern Cameroon: Implications for source rocks distribution and petroleum exploration: Journal of African Earth Sciences, v. 233, 105894, 16 p., https://doi.org/10.1016/j.jafrearsci.2025.105894.","productDescription":"105894, 16 p.","ipdsId":"IP-171940","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":496494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Cameroon","otherGeospatial":"Babouri-Figuil basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 13.667,\n 9.85\n ],\n [\n 13.667,\n 9.6333\n ],\n [\n 14.0333,\n 9.6333\n ],\n [\n 14.0333,\n 9.85\n ],\n [\n 13.667,\n 9.85\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"233","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Manga, William Gaspard O.","contributorId":352997,"corporation":false,"usgs":false,"family":"Manga","given":"William","middleInitial":"Gaspard O.","affiliations":[{"id":84323,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon; School of Geology and Mining Engineering, Ngaoundere University P.O. Box 115 Meiganga, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":949924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bessong, Moïse","contributorId":352998,"corporation":false,"usgs":false,"family":"Bessong","given":"Moïse","affiliations":[{"id":84324,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon; Department of Earth Sciences, University of Geneva, 13, Rue des Maraîchers, 1205 Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":949925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":949926,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ashukem, Ethel K.","contributorId":362067,"corporation":false,"usgs":false,"family":"Ashukem","given":"Ethel","middleInitial":"K.","affiliations":[{"id":84325,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guedala, Alifa","contributorId":353000,"corporation":false,"usgs":false,"family":"Guedala","given":"Alifa","affiliations":[{"id":84325,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949928,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meying, Arsène","contributorId":353001,"corporation":false,"usgs":false,"family":"Meying","given":"Arsène","affiliations":[{"id":84328,"text":"School of Geology and Mining Engineering, Ngaoundere University P.O. Box 115 Meiganga, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949929,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Samankassou, Elias","contributorId":353002,"corporation":false,"usgs":false,"family":"Samankassou","given":"Elias","affiliations":[{"id":84329,"text":"Department of Earth Sciences, University of Geneva, 13, Rue des Maraîchers, 1205 Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":949930,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70272100,"text":"70272100 - 2026 - Guidelines for producing integrated 210Pb and 14C age-models","interactions":[],"lastModifiedDate":"2025-12-01T16:51:35.947878","indexId":"70272100","displayToPublicDate":"2025-10-17T08:05:40","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Guidelines for producing integrated 210Pb and 14C age-models","title":"Guidelines for producing integrated 210Pb and 14C age-models","docAbstract":"Accurate reconstructions of past environmental changes are crucial in paleoecological research and require reliable chronologies of sedimentary archives. Establishing robust age-models and obtaining the most appropriate proxies for analysis is a complex scientific endeavor, requiring extensive resources and collaboration among specialists, including radiochronologists. Radiometric dating methods, such as 210Pb and radiocarbon (14C), are frequently employed to establish chronologies in aquatic sedimentary deposits and peat bogs. In this study, we review key aspects of sampling, analysis, and the principles underlying 210Pb and 14C age-models, focusing on methods for developing robust joint chronologies for paleoenvironmental research. Drawing largely from the authors' experiences and group discussions during and after a scientific workshop in 2022, we discuss important considerations for site selection, sampling strategies, and radiometric dating to construct integrated 210Pb and 14C age-models. Using expert consensus, this group – called Paleostats – aims to provide a set of best practices for other geochronologists with this methods paper. Among our conclusions, we emphasize the importance of accounting for site-specific factors such as prior information on sedimentation rates to establish appropriate sampling and analytical strategies. The use of appropriate coring devices can minimize disturbance to sediments and ensure the core surface remains intact and preserved until sectioning. Where excess 210Pb is expected, sectioning at intervals of ≤1 cm provides an adequate sampling resolution for 210Pb dating. Exceptions are possible, allowing for ~2–3 cm sections in areas with confirmed high sedimentation rates (e.g., > 1 cm yr−1). Recovering deeper core sections for 14C dating with sufficient overlap allows for accounting errors in depth estimates made in the field. Special attention is advised during time intervals where validation proxies, such as the human-made radionuclides 137Cs or post-bomb 14C, are expected, and to determine the depth of secular equilibrium between 210Pb and 226Ra. Radiocarbon analyses are commonly performed by accelerator mass spectrometry, and age models are constructed mainly using Bayesian statistics with Markov Chain Monte Carlo techniques (e.g., Bacon). A Bayesian approach (Plum) is now available for producing 210Pb age-models, which infers the 210Pbex flux, eliminates the need for selecting an equilibrium depth, and allows dating cores with incomplete 210Pbex inventory. Plum offers improved chronologies by integrating raw 210Pb and 14C data, and these age-models can be enriched with other dating methodologies, such as identifying tephras and other well-recorded historical events. Harmonized reporting would contribute to making radiometric age-models reproducible, which would benefit from an international effort. Using 210Pb and 14C to produce integrated age-models may yield better insights into the interplay between natural and recent anthropogenic forcings on ecosystems. This can enhance our understanding of environmental processes and their impacts on climate change, ultimately supporting science-based assessments and decisions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2025.105301","usgsCitation":"Sanchez-Cabeza, J., Aquino-López, M.A., Blaauw, M., Ruiz-Fernández, A.C., Jupin, J., Anderson, L., Knight, C.A., Champagne, M.R., Sanderson, N.K., Goring, S., and Christen, J.A., 2026, Guidelines for producing integrated 210Pb and 14C age-models: Earth-Science Reviews, v. 272, 105301, 17 p., https://doi.org/10.1016/j.earscirev.2025.105301.","productDescription":"105301, 17 p.","ipdsId":"IP-170497","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":500562,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.earscirev.2025.105301","text":"Publisher Index Page"},{"id":496477,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"272","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sanchez-Cabeza, Joan-Albert","contributorId":346065,"corporation":false,"usgs":false,"family":"Sanchez-Cabeza","given":"Joan-Albert","email":"","affiliations":[{"id":82761,"text":"CIMAT","active":true,"usgs":false}],"preferred":false,"id":950055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aquino-López, Marco A. 0000-0002-5076-7205","orcid":"https://orcid.org/0000-0002-5076-7205","contributorId":362121,"corporation":false,"usgs":false,"family":"Aquino-López","given":"Marco","middleInitial":"A.","affiliations":[{"id":86469,"text":"Department of Geography, University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":950056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blaauw, Maarten","contributorId":303144,"corporation":false,"usgs":false,"family":"Blaauw","given":"Maarten","affiliations":[{"id":65675,"text":"Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK","active":true,"usgs":false}],"preferred":false,"id":950057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruiz-Fernández, Ana Carolina 0000-0002-2515-1249","orcid":"https://orcid.org/0000-0002-2515-1249","contributorId":362122,"corporation":false,"usgs":false,"family":"Ruiz-Fernández","given":"Ana","middleInitial":"Carolina","affiliations":[{"id":86470,"text":"1 Unidad Académica Mazatlán, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":950058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jupin, Johanna 0000-0002-3695-9366","orcid":"https://orcid.org/0000-0002-3695-9366","contributorId":362123,"corporation":false,"usgs":false,"family":"Jupin","given":"Johanna","affiliations":[{"id":86472,"text":"Universidad Nacional Autónoma de México, IRD, CNRS, SU, MNHN, IPSL, LOCEAN, Laboratoire d’Océanographie et du Climat: Expérimentation et Approches Numériques, Centre IRD France Nord","active":true,"usgs":false}],"preferred":false,"id":950059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Lysanna 0000-0001-5650-9744 landerson@usgs.gov","orcid":"https://orcid.org/0000-0001-5650-9744","contributorId":5339,"corporation":false,"usgs":true,"family":"Anderson","given":"Lysanna","email":"landerson@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950060,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knight, Clarke Alexandra 0000-0003-0002-6959","orcid":"https://orcid.org/0000-0003-0002-6959","contributorId":288487,"corporation":false,"usgs":true,"family":"Knight","given":"Clarke","email":"","middleInitial":"Alexandra","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950061,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Champagne, Marie Rhondelle 0000-0001-8236-3910","orcid":"https://orcid.org/0000-0001-8236-3910","contributorId":248214,"corporation":false,"usgs":true,"family":"Champagne","given":"Marie","email":"","middleInitial":"Rhondelle","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950062,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sanderson, Nicole K.","contributorId":220279,"corporation":false,"usgs":false,"family":"Sanderson","given":"Nicole","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":950063,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Goring, Simon","contributorId":167180,"corporation":false,"usgs":false,"family":"Goring","given":"Simon","affiliations":[],"preferred":false,"id":950064,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Christen, J. Andrés 0000-0002-5795-4345","orcid":"https://orcid.org/0000-0002-5795-4345","contributorId":362124,"corporation":false,"usgs":false,"family":"Christen","given":"J.","middleInitial":"Andrés","affiliations":[{"id":86474,"text":"Centro de Investigación en Matemáticas, Jalisco S/N","active":true,"usgs":false}],"preferred":false,"id":950065,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70272624,"text":"70272624 - 2026 - Subduction zone earthquake catalog separation tool: Implementation in the USGS 2025 Puerto Rico and U.S. Virgin Islands National Seismic Hazard Model","interactions":[],"lastModifiedDate":"2026-02-24T16:16:52.417973","indexId":"70272624","displayToPublicDate":"2025-10-15T09:02:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Subduction zone earthquake catalog separation tool: Implementation in the USGS 2025 Puerto Rico and U.S. Virgin Islands National Seismic Hazard Model","docAbstract":"The U.S. Geological Survey (USGS) periodically releases updates to National Seismic Hazard Model (NSHM) for the United States and its territories leveraging current scientific knowledge and methodologies to guide public policy, building codes, and risk assessments regarding potential ground shaking due to earthquakes that may result in infrastructure damage. In subduction zones, there is a need to separate the earthquake catalog into tectonic regimes to create specific seismicity models for which the most appropriate ground‐motion models are then applied. Here, we describe newly developed methods and software, called CatSep, that classifies subduction zone events into three primary tectonic regimes: crustal, interface, and intraslab. This method incorporates information about the location of the earthquake relative to the subducting slab, the depth of the Mohorovičić discontinuity, and the earthquake’s moment tensor. Applying this method is a first step in the NSHM workflow for regions covering U.S. subduction zones. Results using this subduction zone earthquake catalog separation tool for the 2025 Puerto Rico and U.S. Virgin Islands NSHM earthquake catalog are presented and analyzed.
Secretive marsh birds experienced precipitous declines due to losses in wetland habitat across North America. However, from 1998 to 2004, wetland area increased, and between 2009 and 2019, the extent of emergent wetlands did not significantly decrease. This raises the question: how did secretive marsh birds, which are tied to emergent wetlands, respond to this period of relative stability in wetland area? Here, we use Rallus elegans (King Rail) occurrence data collected in 2005, 2006, 2012, and 2017 in the Arkansas Delta in the United States to test the hypothesis that a period of stability in wetland vegetation is linked to stable Rallus elegans occupancy. Specifically, we sought to (1) quantify relationships between R. elegans occupancy and land cover, (2) quantify temporal trends in R. elegans occupancy, and (3) characterize changes in land cover types linked to R. elegans occupancy. We developed spatial multi-season occupancy models, and our top model contained the categorical year effect but showed no trend in R. elegans occupancy between 2005 and 2017, instead showing high interannual variation in occupancy. We found strong associations between R. elegans occupancy and emergent wetlands (positive) and elevation (negative). From 2005 to 2017 in the ∼3.7 million ha Arkansas Delta, rice crop cover decreased by 294,750 ha, emergent wetlands increased by 6,719 ha, and all other cover types increased or decreased by < 7,500 ha. Thus, although emergent wetlands did increase, the total area of emergent wetlands in 2016 (22,262 ha) comprised <1% of the Arkansas Delta. Our results support the hypothesis that R. elegans occupancy stabilized during a time when the main habitat type R. elegans depend on, emergent wetlands, also stabilized in spatial extent. There is an opportunity to turn the tide in R. elegans declines by conserving extant emergent wetlands and creating new emergent wetlands.
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