Compound flood events, the co-occurrence of multiple flood drivers, can result in flood hazard potential exceeding that of any single driver alone. To evaluate compound flooding in a semi-urbanized coastal area, historical records dating back to 1970 are used to study the co-occurrences of high precipitation, storm surge, and shallow groundwater conditions along the coastlines of New York and Connecticut. Joint return periods for coincident precipitation-surge events were computed using statistical dependence models and compared to the assumption of independence as a ratio, referred to here as a return period adjustment. Results indicate distinct seasonality where compound events in the area disproportionately occur in the cold season between October and April. Return period adjustments range from a factor of 1 to almost 9, demonstrating the range in precipitation-storm surge dependence across the study area. Across all 24 station triad locations, groundwater levels were elevated during times of precipitation- surge co-occurrence, reflecting the tendency for coastal storms and shallow groundwater conditions to co-occur seasonally. The result is a pseudo-trivariate compound flood hazard score and corresponding hazard map that integrates dependence between daily precipitation-surge events and overall monthly groundwater levels (as a precondition) into a relative compound hazard score. The location with the highest compound flood hazard score is on the south shore of Long Island, as well as locations across coastal Connecticut where groundwater levels compound the co-occurrence of heavy precipitation and storm surge.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/nhess-26-2169-2026","usgsCitation":"Glas, R.L., Herdman, L.M., Cook, S.E., Howlader, A., and Masterson, K., 2026, Hazard potential of compound flooding from rainfall, storm surge, and groundwater in coastal New York and Connecticut: Natural Hazards and Earth System Sciences, v. 26, p. 2169-2188, https://doi.org/10.5194/nhess-26-2169-2026.","productDescription":"20 p.","startPage":"2169","endPage":"2188","ipdsId":"IP-180131","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":504268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.81060260994941,\n 41.491420762682566\n ],\n [\n -73.98021540895226,\n 41.491420762682566\n ],\n [\n -73.98021540895226,\n 40.53771152556905\n ],\n [\n -71.81060260994941,\n 40.53771152556905\n ],\n [\n -71.81060260994941,\n 41.491420762682566\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Glas, Robin L. 0000-0002-7394-1667","orcid":"https://orcid.org/0000-0002-7394-1667","contributorId":300625,"corporation":false,"usgs":true,"family":"Glas","given":"Robin","email":"","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herdman, Liv M. 0000-0002-5444-6441 lherdman@usgs.gov","orcid":"https://orcid.org/0000-0002-5444-6441","contributorId":149964,"corporation":false,"usgs":true,"family":"Herdman","given":"Liv","email":"lherdman@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":951241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, Salme Ellen 0000-0003-1129-6209","orcid":"https://orcid.org/0000-0003-1129-6209","contributorId":303775,"corporation":false,"usgs":true,"family":"Cook","given":"Salme","email":"","middleInitial":"Ellen","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":951242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howlader, Archi","contributorId":363192,"corporation":false,"usgs":false,"family":"Howlader","given":"Archi","affiliations":[{"id":35641,"text":"Kansas Geological Survey","active":true,"usgs":false}],"preferred":false,"id":951243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Masterson, Kristina Kirkyla 0000-0001-7717-0751","orcid":"https://orcid.org/0000-0001-7717-0751","contributorId":357505,"corporation":false,"usgs":true,"family":"Masterson","given":"Kristina Kirkyla","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951244,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70276249,"text":"70276249 - 2026 - Accounting for emigration reveals high survival and bimodal size at departure from a loggerhead sea turtle (Caretta caretta) foraging area","interactions":[],"lastModifiedDate":"2026-05-20T14:57:35.282917","indexId":"70276249","displayToPublicDate":"2026-05-11T09:52:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Accounting for emigration reveals high survival and bimodal size at departure from a loggerhead sea turtle (Caretta caretta) foraging area","title":"Accounting for emigration reveals high survival and bimodal size at departure from a loggerhead sea turtle (Caretta caretta) foraging area","docAbstract":"The life history of hard-shelled sea turtles includes several ontogenetic shifts in habitat use and these complex permanent emigration patterns can impact estimates of stage-specific population rates, including survival. We developed several multistate mark recapture models to estimate survival of adult and juvenile loggerhead turtles from a coastal bay in the northern Gulf of America (also commonly referred to as the Gulf of Mexico) while, in some cases, accounting for permanent emigration and transient individuals. Our mark-recapture dataset consisted of 228 individual turtles with 37 total recaptures from 2011 to 2024. Of the models we fit, those that incorporated emigration produced higher estimates for annual survival than models that did not, and higher estimates than what is commonly seen in the literature for loggerheads. All models suggested a major permanent emigration pulse at the typical size of sexual maturity (70 cm straight carapace length) and another major pulse at > 90 cm. This bimodal pattern of departure may reflect differences in size at sexual maturity among loggerheads, possible genetic variability within the assemblage, or both. To assess the models’ ability to effectively recover true parameter values, we developed a simulation study of 50 randomly generated independent data sets under our specified models of similar sample size to our study dataset. Simulation results suggested that models that accounted for permanent emigration and transient individuals produced relatively unbiased estimates of survival, while models that did not often underestimated survival rates. Mark-recapture studies that may exhibit emigration and suffer from low recapture rates would benefit from auxiliary data collection such as acoustic telemetry detections to better estimate true rates of emigration and survival. Obtaining unbiased estimates of true survival by accounting for processes like emigration can support effective conservation of endangered long-lived species like loggerheads.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00227-026-04842-5","usgsCitation":"Blommel, C.M., Lamont, M., and Kendall, W.L., 2026, Accounting for emigration reveals high survival and bimodal size at departure from a loggerhead sea turtle (Caretta caretta) foraging area: Marine Biology, v. 173, no. 6, 95, 15 p., https://doi.org/10.1007/s00227-026-04842-5.","productDescription":"95, 15 p.","ipdsId":"IP-182417","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":504655,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00227-026-04842-5","text":"Publisher Index Page"},{"id":504575,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13E4PMT","text":"USGS data release","linkHelpText":"Mark recapture data for loggerhead sea turtles in St. Joseph Bay, FL from 2011-2024"},{"id":504551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"St. Joseph Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.47559331382445,\n 29.90905541130931\n ],\n [\n -85.25446694849322,\n 29.90905541130931\n ],\n [\n -85.25446694849322,\n 29.64361905224979\n ],\n [\n -85.47559331382445,\n 29.64361905224979\n ],\n [\n -85.47559331382445,\n 29.90905541130931\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"173","issue":"6","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Blommel, Caroline M. 0000-0002-1716-2706","orcid":"https://orcid.org/0000-0002-1716-2706","contributorId":371440,"corporation":false,"usgs":false,"family":"Blommel","given":"Caroline","middleInitial":"M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":961824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":206258,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":961825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":961826,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275694,"text":"70275694 - 2026 - Refinement of a framework for Moving Aircraft River Velocimetry (MARV) and application to particle tracking along Alaskan rivers","interactions":[],"lastModifiedDate":"2026-05-12T13:47:57.040645","indexId":"70275694","displayToPublicDate":"2026-05-11T08:46:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Refinement of a framework for Moving Aircraft River Velocimetry (MARV) and application to particle tracking along Alaskan rivers","docAbstract":"Information on river velocities enhances understanding flood hazards, evaluating habitat conditions, and predicting the transport of floating materials. In this follow-up study, we used data from two new sites, one with a more complex morphology and the other with a lower suspended sediment concentration, to provide further evidence that Moving Aircraft River Velocimetry (MARV) can yield accurate velocity estimates ( R2 up to 0.87 when compared to field measurements) for long segments of large, turbid rivers. The MARV workflow is packaged in freely available software and is robust to implementation details; neither buffering to mitigate edge effects nor a new approach to aggregating velocity vectors improved performance. MARV was not sensitive to parameters used to establish overlapping image sequences, but combining a long window with a short jump between consecutive windows was the optimal configuration. Although accuracy varied from one cross section to the next, agreement between remotely sensed velocities and those measured in the field was independent of position within a frame range. As an initial step toward application of the approach to help address practical problems, we showed how MARV can drive particle tracking models. Our first-order simulations suggest that channel morphology and flow velocity are the primary controls on travel time and particle fate, with diffusive processes playing a lesser role. Although MARV can be used to characterize an instantaneous flow field, a more comprehensive framework that accounts for other physical processes would be required to model specific types of events like oil spills.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR043181","usgsCitation":"Legleiter, C.J., Kinzel, P.J., Laker, M., and Conaway, J., 2026, Refinement of a framework for Moving Aircraft River Velocimetry (MARV) and application to particle tracking along Alaskan rivers: Water Resources Research, v. 62, no. 5, e2025WR043181, 36 p., https://doi.org/10.1029/2025WR043181.","productDescription":"e2025WR043181, 36 p.","ipdsId":"IP-184216","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":504369,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr043181","text":"Publisher Index Page"},{"id":504278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tanana River, Yukon River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.75570313334435,\n 65.91143177654979\n ],\n [\n -149.47674302069896,\n 65.91143177654979\n ],\n [\n -149.47674302069896,\n 65.84208480633984\n ],\n [\n -149.75570313334435,\n 65.84208480633984\n ],\n [\n -149.75570313334435,\n 65.91143177654979\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -145.77263488160432,\n 64.18041091114998\n ],\n [\n -145.87601297288305,\n 64.18041091114998\n ],\n [\n -145.87601297288305,\n 64.1422606892462\n ],\n [\n -145.77263488160432,\n 64.1422606892462\n ],\n [\n -145.77263488160432,\n 64.18041091114998\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"62","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-11","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":961428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":961429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laker, Mark","contributorId":298315,"corporation":false,"usgs":false,"family":"Laker","given":"Mark","email":"","affiliations":[{"id":64530,"text":"U.S. Fish and Wildlife Service, Kenai National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":961430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conaway, Jeff 0000-0002-3036-592X","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":214226,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeff","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":961431,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275642,"text":"sir20265008 - 2026 - Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire","interactions":[{"subject":{"id":70275001,"text":"70275001 - 2026 - Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund Site, Rockingham County, New Hampshire","indexId":"70275001","publicationYear":"2026","noYear":false,"title":"Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund Site, Rockingham County, New Hampshire"},"predicate":"SUPERSEDED_BY","object":{"id":70275642,"text":"sir20265008 - 2026 - Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire","indexId":"sir20265008","publicationYear":"2026","noYear":false,"title":"Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire"},"id":1}],"lastModifiedDate":"2026-05-11T20:03:08.256856","indexId":"sir20265008","displayToPublicDate":"2026-05-11T08:11:01","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5008","displayTitle":"Simulation of Groundwater Flow To Evaluate Hydrogeologic Controls on a PFAS Plume, Coakley Landfill Superfund Site, Rockingham County, New Hampshire","title":"Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire","docAbstract":"Per- and polyfluoroalkyl substances (PFAS), including perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS), have been detected at combined concentrations above 2,000 nanograms per liter (ng/L) at groundwater seep locations near the Coakley Landfill Superfund site, in North Hampton, New Hampshire. The landfill was active from 1972 to 1985. An impermeable cap was placed on the landfill in 1998. The adjacent area to the Coakley Landfill has many water supply wells, and transport of PFAS compounds to the wells is a concern. Fracture anisotropy in the underlying bedrock aquifer complicates the understanding of PFAS transport because groundwater preferentially travels along fractures that may not align with the prevailing groundwater flow direction.
In 2018, the U.S. Environmental Protection Agency and the U.S. Geological Survey began an investigation of the groundwater flow from the Coakley Landfill site. This report describes the modification of a numerical groundwater-flow model for the local area around the Coakley Landfill and summarizes findings of the investigation. In addition, this report includes a brief description of PFOA and PFOS occurrence, a discussion of model construction, evaluation of model performance through calibration, and discussion of simulation results for two periods (before and after capping). Limitations are also discussed.
Results show that simulated groundwater flow moves from the Coakley Landfill to the west and north. Advective transport modeling using particle tracking shows that groundwater from the landfill discharges primarily to streams to the west and north, and a small amount is transported to distal wells. Dilution of contaminants through advection and dispersion likely plays a role in whether PFAS compounds from the landfill will be detected above laboratory reporting levels at distal wells.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265008","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Harte, P.T., and Collins, A.L., 2026, Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire: U.S. Geological Survey Scientific Investigations Report 2026–5008, 41 p., https://doi.org/10.3133/sir20265008. [Supersedes preprint https://doi.org/10.31223/X53761.]","productDescription":"Report: viii, 41 p.; Data Release","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-107565","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":504037,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20085222","text":"Scientific Investigations Report 2008–5222","linkHelpText":"- Assessment of ground-water resources in the Seacoast region of New Hampshire"},{"id":504036,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14LJKCX","text":"USGS data release","linkHelpText":"MODFLOW-NWT and MODPATH6 files used for groundwater-flow simulation and pathline analyses in the vicinity of the Coakley Landfill Superfund site, Rockingham County, New Hampshire"},{"id":504274,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119411.htm","linkFileType":{"id":5,"text":"html"}},{"id":504035,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5008/images"},{"id":504258,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.5066/P909PUIP","text":"USGS data release","linkHelpText":"- MODFLOW-NWT upgrade and preliminary-assessment of a groundwater-flow model of the seacoast bedrock aquifer, New Hampshire"},{"id":504034,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5008/sir20265008.XML","description":"SIR 2026-5008 XML"},{"id":504033,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265008/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5008 HTML"},{"id":504032,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5008/coverthb.jpg"},{"id":504031,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5008/sir20265008.pdf","text":"Report","size":"12.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5008 PDF"}],"country":"United States","state":"New Hampshire","otherGeospatial":"Coakley Landfill Superfund Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.6749026,\n 43.0695834\n ],\n [\n -70.879635,\n 43.166483\n ],\n [\n -71.0413642,\n 42.8390034\n ],\n [\n -70.7936287,\n 42.8136348\n ],\n [\n -70.6749026,\n 43.0695834\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
A class of chemicals called per- and polyfluoroalkyl substances (PFAS) has been seeping from the Coakley Landfill in southeastern New Hampshire to the local groundwater. The movement of the groundwater is complex because of the local geology, and more information is needed about where PFAS goes after it comes out of the landfill. The U.S. Geological Survey worked with the U.S. Environmental Protection Agency to understand more about how PFAS move from the landfill through the local groundwater and why concentrations are higher in some places than in others. A computer groundwater model of the Coakley Landfill area was developed based on an older groundwater model for southeast New Hampshire, and the new model was used to explore how soil, bedrock, rain or snowmelt infiltration, and bedrock fractures affect the speed and direction of groundwater flow. The new model was refined using recently collected data from the bedrock aquifer, where the greatest contamination from the Coakley Landfill has been detected. A modeling technique called particle tracking was used to estimate where groundwater travels from the landfill. The model shows that groundwater flows primarily to the west, north, and northeast from the landfill, likely following bedrock fractures. Some groundwater flow paths originating at the landfill eventually come to the surface in streams, up to about 3 miles away from the landfill. These flow paths predicted by the model may explain why there have been PFAS detections in wells relatively far from the landfill. However, predicted groundwater flow paths do not account for some factors that could reduce the total travel distance of contaminants, like dilution, mixing, and adsorption. Model results show that an impermeable cap placed on the landfill in 1998 reduces the amount of rain and snowmelt that flow into the landfill.
","publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Harte, Philip T. 0000-0002-7718-1204","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":217273,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, Andrew L. 0000-0003-4751-7333","orcid":"https://orcid.org/0000-0003-4751-7333","contributorId":332093,"corporation":false,"usgs":true,"family":"Collins","given":"Andrew","email":"","middleInitial":"L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961281,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275789,"text":"70275789 - 2026 - Landscape connectivity and wildlife access to water across an international border: Barriers and opportunities for facilitating transboundary movement","interactions":[],"lastModifiedDate":"2026-05-19T13:56:31.436489","indexId":"70275789","displayToPublicDate":"2026-05-08T08:50:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape connectivity and wildlife access to water across an international border: Barriers and opportunities for facilitating transboundary movement","docAbstract":"Rapid global acceleration in the construction of physical barriers along international borders has greatly influenced biodiversity and animal movement. Physical barriers can fragment landscapes, hinder access to essential resources, impact long-distance migrations, and inhibit dispersal and gene flow. The effects of physical barriers on animal movement and landscape connectivity can be exacerbated in dryland environments where access to water is a limiting factor. In recent decades, the construction of border barrier infrastructure has accelerated along the international boundary between the United States and Mexico. Here, we used a landscape connectivity model to investigate the effects of barriers on wildlife access to the river in the Lower Rio Grande Valley. We used a modified omnidirectional connectivity model to compare access to the river for three large, terrestrial mammal species across three border barrier scenarios: (1) a landscape without border barriers; (2) a landscape with the existing barrier system; and (3) a potential future landscape with a continuous barrier system. The existing barrier system includes many discrete sections of barrier within tracts of the Lower Rio Grande Valley National Wildlife Refuge or on lands associated with the region's flood control system. Our results indicate that the existing border barriers can impede connectivity and wildlife access to the river in some areas, while some existing gaps between border barrier sections can serve as conduits for wildlife movement and river access. Our future scenario results show how a potential continuous border barrier system could further impede wildlife access to the river. We discuss management and landscape conservation options for enhancing wildlife access to water and riverine habitats. Collectively, our results illustrate the potential effects of border barriers on wildlife movement and access to water, providing information that can be used to better anticipate and lessen the ecological impacts of transboundary barriers.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70888","usgsCitation":"Chivoiu, B., Koen, E.L., Osland, M., Gabler, C.A., Garrett, J.T., Reyes, E., Bilodeau, S.A., Sternberg, M.A., Villarreal, M.L., Waller, E.K., Chambers, S.N., Benavides, J.A., Lawson, R.S., and Martinez, J., 2026, Landscape connectivity and wildlife access to water across an international border: Barriers and opportunities for facilitating transboundary movement: Global Change Biology, v. 32, no. 5, e70888, 16 p., https://doi.org/10.1111/gcb.70888.","productDescription":"e70888, 16 p.","ipdsId":"IP-178984","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":504648,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13155767/","text":"External Repository"},{"id":504577,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1KT9Y3A","text":"USGS data release","linkHelpText":"Land cover dataset for the Lower Rio Grande Valley (2023)"},{"id":504576,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P16WUBDY","text":"USGS data release","linkHelpText":"Modeling data for landscape connectivity and wildlife access to water across an international border"},{"id":504522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Tamaulipas, Texas","otherGeospatial":"Rio Grande","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.31616506764966,\n 26.756446591259376\n ],\n [\n -97.12393085477446,\n 26.756446591259376\n ],\n [\n -97.12393085477446,\n 25.753367645592732\n ],\n [\n -99.31616506764966,\n 25.753367645592732\n ],\n [\n -99.31616506764966,\n 26.756446591259376\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Chivoiu, Bogdan 0000-0002-4568-3496","orcid":"https://orcid.org/0000-0002-4568-3496","contributorId":141229,"corporation":false,"usgs":false,"family":"Chivoiu","given":"Bogdan","affiliations":[{"id":13722,"text":"University of Louisiana-Lafayette","active":true,"usgs":false}],"preferred":false,"id":961769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koen, Erin L. 0000-0001-9481-7692","orcid":"https://orcid.org/0000-0001-9481-7692","contributorId":330539,"corporation":false,"usgs":false,"family":"Koen","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":78927,"text":"Cherokee Nation Systems Solutions","active":true,"usgs":false}],"preferred":false,"id":961770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219650,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":961771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gabler, Christopher A. 0000-0001-9311-7248","orcid":"https://orcid.org/0000-0001-9311-7248","contributorId":371394,"corporation":false,"usgs":false,"family":"Gabler","given":"Christopher","middleInitial":"A.","affiliations":[{"id":88132,"text":"University of Texas Rio Grande Valley, Brownsville, TX","active":true,"usgs":false}],"preferred":false,"id":961772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garrett, Jerald T.","contributorId":371395,"corporation":false,"usgs":false,"family":"Garrett","given":"Jerald","middleInitial":"T.","affiliations":[{"id":88132,"text":"University of Texas Rio Grande Valley, Brownsville, TX","active":true,"usgs":false}],"preferred":false,"id":961773,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reyes, Ernesto","contributorId":371396,"corporation":false,"usgs":false,"family":"Reyes","given":"Ernesto","affiliations":[{"id":88133,"text":"U.S. Fish and Wildlife Service, Alamo, TX","active":true,"usgs":false}],"preferred":false,"id":961774,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bilodeau, Stephanie A. 0009-0008-0881-059X","orcid":"https://orcid.org/0009-0008-0881-059X","contributorId":371397,"corporation":false,"usgs":false,"family":"Bilodeau","given":"Stephanie","middleInitial":"A.","affiliations":[{"id":88133,"text":"U.S. Fish and Wildlife Service, Alamo, TX","active":true,"usgs":false}],"preferred":false,"id":961775,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sternberg, Mitch A. 0009-0003-0028-2669","orcid":"https://orcid.org/0009-0003-0028-2669","contributorId":371398,"corporation":false,"usgs":false,"family":"Sternberg","given":"Mitch","middleInitial":"A.","affiliations":[{"id":88133,"text":"U.S. Fish and Wildlife Service, Alamo, TX","active":true,"usgs":false}],"preferred":false,"id":961776,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":214980,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":961777,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Waller, Eric K. 0000-0002-9169-9210","orcid":"https://orcid.org/0000-0002-9169-9210","contributorId":203496,"corporation":false,"usgs":true,"family":"Waller","given":"Eric","email":"","middleInitial":"K.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":true,"id":961778,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Chambers, Samuel N. 0000-0002-4734-2855","orcid":"https://orcid.org/0000-0002-4734-2855","contributorId":371399,"corporation":false,"usgs":false,"family":"Chambers","given":"Samuel","middleInitial":"N.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":961779,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Benavides, Jude A.","contributorId":371400,"corporation":false,"usgs":false,"family":"Benavides","given":"Jude","middleInitial":"A.","affiliations":[{"id":88132,"text":"University of Texas Rio Grande Valley, Brownsville, TX","active":true,"usgs":false}],"preferred":false,"id":961780,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lawson, Robert S.","contributorId":371401,"corporation":false,"usgs":false,"family":"Lawson","given":"Robert","middleInitial":"S.","affiliations":[{"id":88134,"text":"Cherokee Nation System Solutions, Contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":961781,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Martinez, James","contributorId":371402,"corporation":false,"usgs":false,"family":"Martinez","given":"James","affiliations":[{"id":88132,"text":"University of Texas Rio Grande Valley, Brownsville, TX","active":true,"usgs":false}],"preferred":false,"id":961782,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70275631,"text":"sir20265007 - 2026 - Regression models for estimating suspended sediment concentrations and loads and comparison with acoustic surrogate model on the Snake River, Weiser, Idaho, 1977–2022","interactions":[],"lastModifiedDate":"2026-05-11T17:06:06.542003","indexId":"sir20265007","displayToPublicDate":"2026-05-07T15:45:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5007","displayTitle":"Regression Models for Estimating Suspended Sediment Concentrations and Loads and Comparison With Acoustic Surrogate Model on the Snake River, Weiser, Idaho, 1977–2022","title":"Regression models for estimating suspended sediment concentrations and loads and comparison with acoustic surrogate model on the Snake River, Weiser, Idaho, 1977–2022","docAbstract":"The U.S. Geological Survey, in cooperation with Idaho Power, developed streamflow- based regression models to estimate suspended sediment concentration (SSC) and loads on the Snake River at Weiser, Idaho site (U.S. Geological Survey streamgage 13269000; hereafter referred to as “Snake at Weiser site”). This site sits upstream from the dams and reservoirs of the Hells Canyon Complex and the Hells Canyon National Recreation Area, where large sandbars along the Snake River that provide recreation and riparian habitat and host archaeological resources have declined since 1973. Analyses of samples from historical (1977- 2003) and modern (2017- 22) periods show that SSC has decreased over time, with median concentrations declining from 50 milligrams per liter (mg/L) to 28 mg/L. Mann- Kendall trend tests confirm statistically significant declines in total SSC and the fine and sand fractions of suspended sediment through the full period of record.
Regression models specific to each period outperformed models using the full dataset, suggesting changes in the sediment supply to this reach of the Snake River and highlighting the need for period- based approaches. Regression models for total SSC and fine sediment were more accurate than those for sand, which exhibited greater error and bias, likely reflecting a sand supply limited by upstream dams. The regression model for modern period total SSC and a previously developed acoustic surrogate model showed similar performance, indicating both methods are viable for estimating SSC and loads.
These findings help to better quantify suspended sediment concentrations and loads upstream of the Hells Canyon Complex and provide resource managers with tools to better quantify sediment loads affecting reservoir storage and the maintenance of sandbars in the Hells Canyon National Recreation Area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265007","collaboration":"Prepared in cooperation with Idaho Power","usgsCitation":"Kenworthy, M.K., 2026, Regression models for estimating suspended sediment concentrations and loads and comparison with acoustic surrogate model on the Snake River, Weiser, Idaho, 1977–2022: U.S. Geological Survey Scientific Investigations Report 2026–5007, 27 p., https://doi.org/10.3133/sir20265007.","productDescription":"Report: vi, 27 p.; 2 Data Releases","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-173970","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":504272,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119409.htm","linkFileType":{"id":5,"text":"html"}},{"id":504016,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14KZNMK","text":"USGS data release","linkHelpText":"Suspended sediment dataset for development of regression models to estimate suspended sediment concentration and loads for the Snake River at Weiser, Idaho, 1977–2022"},{"id":504011,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5007/sir20265007.pdf","size":"4.25 MB","description":"SIR 2026-5007 PDF"},{"id":504015,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YT1GIC","text":"USGS data release","linkHelpText":"Model Archive Summary for acoustic derived suspended- sediment concentration at 13269000 Snake River at Weiser, ID"},{"id":504014,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5007/images/"},{"id":504013,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5007/sir20265007.XML","description":"SIR 2026-5007 XML"},{"id":504012,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265007/full","description":"SIR 2026-5007 HTML"},{"id":504010,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5007/coverthb.jpg"}],"country":"United States","state":"Idaho, Nevada, Oregon, Utah","otherGeospatial":"Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119,\n 45.5\n ],\n [\n -113,\n 45.5\n ],\n [\n -113,\n 41\n ],\n [\n -119,\n 41\n ],\n [\n -119,\n 45.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd.
Boise, Idaho 83702-4520
Provenance analysis is a powerful tool for investigating sediment delivery networks, constraining magmatic histories, and reconstructing the tectonic evolution of orogenic belts and basins. Basin analysis studies increasingly use detrital zircon (DZ) U-Pb forward mixture modeling to enhance provenance interpretations by quantifying the relative contributions of different sources. Forward mixture modeling requires significant a priori knowledge that limits deep-time applications. This challenge is overcome with an inverse mixture modeling approach non-negative matrix factorization to reconstruct the number and age distributions of paleo-source regions of Proterozoic metasedimentary rocks in the southwestern United States. This analysis indicates eight reconstructed end-member distributions representing unique sediment sources: two multi-modal end members characterized by ages older than ca. 1.8 Ga from cratonic Laurentia, five unimodal age distributions between ca. 1.80 Ga and 1.65 Ga consistent with Paleoproterozoic arc magmatic sources, and a ca. 1.6−1.5 Ga end member likely derived from exotic cratons in supercontinent Nuna (Columbia). Sediments deposited between ca. 1.80 Ga and 1.73 Ga yield heterogeneous age distributions suggesting multiple arc-backarc systems and several phases of slab roll back, contraction, and accretionary orogenesis, including input from pre−1.8 Ga Laurentian cratons. Homogenization of DZ signatures during the Yavapai orogeny (ca. 1.72−1.68 Ga) reflect crustal assembly as well as the uplift of Paleoproterozoic arcs in the orogenic hinterland. Detrital zircon age distributions from strata deposited during the Mazatzal orogeny (ca. 1.65−1.60 Ga) suggest the Mazatzal Province is a continental arc constructed on older crust. Mesoproterozoic samples are consistent with multiple basins derived from local recycling and long-distance sediment transport. Collectively, these data record the tectonic transition from the episodic accretion of disparate crustal domains to an increasingly integrated continental margin. These results provide new insights into the Proterozoic tectonic and paleogeographic evolution of the southwestern United States at basin to orogen scales and highlight the power of inverse DZ modeling to extract geologically meaningful quantitative mixture models from sedimentary records alone, offering a powerful tool for deep-time tectonic and basin analysis.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B38713.1","usgsCitation":"Hillenbrand, I.W., and Thomson, K.D., 2026, Reconstructing ancient sedimentary source-to-sink systems – Examples from southern Laurentia’s Proterozoic accretionary orogens: GSA Bulletin, https://doi.org/10.1130/B38713.1.","ipdsId":"IP-180279","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":504696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, New Mexico, Nevada, Texas, Utah, Wyoming","otherGeospatial":"southwestern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115,\n 45\n ],\n [\n -100,\n 45\n ],\n [\n -100,\n 30\n ],\n [\n -115,\n 30\n ],\n [\n -115,\n 45\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Hillenbrand, Ian William 0000-0003-2801-3674","orcid":"https://orcid.org/0000-0003-2801-3674","contributorId":299032,"corporation":false,"usgs":true,"family":"Hillenbrand","given":"Ian","email":"","middleInitial":"William","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":961944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomson, Kelly David 0000-0003-3378-1432","orcid":"https://orcid.org/0000-0003-3378-1432","contributorId":301019,"corporation":false,"usgs":true,"family":"Thomson","given":"Kelly","email":"","middleInitial":"David","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":961945,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70276566,"text":"70276566 - 2026 - Cook Inlet beluga whale calling varies by group characteristics, behavior, and tidal state","interactions":[],"lastModifiedDate":"2026-06-09T16:11:53.828437","indexId":"70276566","displayToPublicDate":"2026-05-07T09:07:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":982,"text":"Behavioral Ecology and Sociobiology","active":true,"publicationSubtype":{"id":10}},"title":"Cook Inlet beluga whale calling varies by group characteristics, behavior, and tidal state","docAbstract":"Communication allows social species to exchange information among group members. In aquatic environments, acoustic signals are among the most effective forms of communication and are important for many species, including cetaceans. Beluga whales (Delphinapterus leucas) are highly social and vocal, yet little is known about the functionality of their social calls. To examine context-dependent vocal behavior in belugas, we collected passive acoustic data and fine-scale behavioral observations for the endangered Cook Inlet beluga population. The resulting dataset includes 1,720 annotated vocalizations collected over 21 behaviorally encoded encounters. We fit generalized linear mixed models to these data to investigate the effect of behavioral state, group size, calf presence, and tidal state on (1) calling rate (number of calls/minute) and (2) call category (whistles, pulsed calls, combined calls). Belugas were more likely to call when traveling and had higher calling rates during flood tides. Group-level calling rate increased sublinearly with group size, suggesting that individuals called less in larger groups, possibly reflecting increased listening, vocal coordination, or a strategy to avoid acoustic masking. Group calling rate increased before transitions between traveling and milling, suggesting a possible link between communication and behavioral transitions. Whistles were more prevalent when traveling, while pulsed calls were more prevalent when milling. Combined calls occurred only when calves were present, indicating the importance of these calls in communication with calves. Identifying these communication patterns and the contexts in which they occur can enhance our understanding of beluga whale ecology and aid in conservation efforts via passive acoustic monitoring.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00265-026-03740-6","usgsCitation":"Brewer, A.M., Van Cise, A.M., Garner, C., Gilstad, A., Castellote, M., Converse, S.J., Goetz, K.T., and Berdahl, A.M., 2026, Cook Inlet beluga whale calling varies by group characteristics, behavior, and tidal state: Behavioral Ecology and Sociobiology, v. 80, 6, 16 p., https://doi.org/10.1007/s00265-026-03740-6.","productDescription":"6, 16 p.","ipdsId":"IP-183531","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":505479,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00265-026-03740-6","text":"Publisher Index Page"},{"id":505241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Cook Inlet","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.85136047092215,\n 60.62831549811719\n ],\n [\n -151.01096777239783,\n 61.17874668796196\n ],\n [\n -149.92378999790864,\n 59.01208002904241\n ],\n [\n -153.53924170212275,\n 58.485308776435176\n ],\n [\n -154.85136047092215,\n 60.62831549811719\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"80","noUsgsAuthors":false,"publicationDate":"2026-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Brewer, Arial M.","contributorId":372047,"corporation":false,"usgs":false,"family":"Brewer","given":"Arial","middleInitial":"M.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":962680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Cise, Amy M.","contributorId":372048,"corporation":false,"usgs":false,"family":"Van Cise","given":"Amy","middleInitial":"M.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":962681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garner, Christopher","contributorId":372049,"corporation":false,"usgs":false,"family":"Garner","given":"Christopher","affiliations":[{"id":88244,"text":"US Air Force Conservation Department","active":true,"usgs":false}],"preferred":false,"id":962682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilstad, Andrea","contributorId":372050,"corporation":false,"usgs":false,"family":"Gilstad","given":"Andrea","affiliations":[{"id":88244,"text":"US Air Force Conservation Department","active":true,"usgs":false}],"preferred":false,"id":962683,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Castellote, Manuel","contributorId":200241,"corporation":false,"usgs":false,"family":"Castellote","given":"Manuel","email":"","affiliations":[],"preferred":false,"id":962684,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":962685,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goetz, Kimberly T.","contributorId":372053,"corporation":false,"usgs":false,"family":"Goetz","given":"Kimberly","middleInitial":"T.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":962686,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berdahl, Andrew M.","contributorId":372054,"corporation":false,"usgs":false,"family":"Berdahl","given":"Andrew","middleInitial":"M.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":962687,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70276283,"text":"70276283 - 2026 - Acoustic measurements and modeling of sub-bottom layers on the summit of the Atlantis II Seamount","interactions":[],"lastModifiedDate":"2026-05-26T14:09:39.225853","indexId":"70276283","displayToPublicDate":"2026-05-07T09:05:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":24795,"text":"JASA Express Letters","active":true,"publicationSubtype":{"id":10}},"title":"Acoustic measurements and modeling of sub-bottom layers on the summit of the Atlantis II Seamount","docAbstract":"Sub-bottom profiler images taken from the summit plateau of the Atlantis II Seamount reveal distinct seabed stratigraphy, including marine sediment, limestone, and basalt layers. Acoustic reflection data also show arrivals reflecting from this sub-bottom structure. A wavenumber integration model with elastic geoacoustic properties is able to reproduce the arrival pattern of seabed reflections and particularly the phase inversion of the sub-bottom return. The reflection model suggests that the limestone layer is eroded with high porosity and possesses a lower compressional velocity than a well-cemented layer. The model results also highlight the necessity of incorporating elastic effects for realistic geoacoustic characterization.
","language":"English","publisher":"Acoustical Society of America","doi":"10.1121/10.0043836","usgsCitation":"Chen, T., Milone, M.A., Chaytor, J., Miller, J.H., Potty, G.R., Hodgkiss, W.S., and Lin, Y., 2026, Acoustic measurements and modeling of sub-bottom layers on the summit of the Atlantis II Seamount: JASA Express Letters, v. 6, no. 5, 0056001, 8 p., https://doi.org/10.1121/10.0043836.","productDescription":"0056001, 8 p.","ipdsId":"IP-185781","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504807,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1121/10.0043836","text":"Publisher Index Page"},{"id":504692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Atlantis II Seamount","volume":"6","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Chen, Tzu-Ting","contributorId":371528,"corporation":false,"usgs":false,"family":"Chen","given":"Tzu-Ting","affiliations":[{"id":88174,"text":"Institute of Oceanography, National Taiwan University, Taipei","active":true,"usgs":false}],"preferred":false,"id":961955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milone, Matthew A.","contributorId":371529,"corporation":false,"usgs":false,"family":"Milone","given":"Matthew","middleInitial":"A.","affiliations":[{"id":35051,"text":"Scripps Institution of Oceanography, UC San Diego","active":true,"usgs":false}],"preferred":false,"id":961956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":961957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, James H.","contributorId":371530,"corporation":false,"usgs":false,"family":"Miller","given":"James","middleInitial":"H.","affiliations":[{"id":88175,"text":"Department of Ocean Engineering, University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":961958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Potty, Gopu R.","contributorId":371531,"corporation":false,"usgs":false,"family":"Potty","given":"Gopu","middleInitial":"R.","affiliations":[{"id":88175,"text":"Department of Ocean Engineering, University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":961959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hodgkiss, William S..","contributorId":317854,"corporation":false,"usgs":false,"family":"Hodgkiss","given":"William","email":"","middleInitial":"S..","affiliations":[{"id":34004,"text":"Scripps Institute of Oceanography","active":true,"usgs":false}],"preferred":false,"id":961960,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lin, Ying-Tsong","contributorId":302804,"corporation":false,"usgs":false,"family":"Lin","given":"Ying-Tsong","email":"","affiliations":[],"preferred":false,"id":961961,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275684,"text":"70275684 - 2026 - Los Planes watershed vegetation monitoring: Standard operating procedures","interactions":[],"lastModifiedDate":"2026-05-11T13:48:50.615534","indexId":"70275684","displayToPublicDate":"2026-05-07T08:44:11","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Los Planes watershed vegetation monitoring: Standard operating procedures","docAbstract":"This is a description of survey procedures for short term vegetation monitoring at Natural Infrastructure in Dryland Stream (NIDS) structure sites and control sites a ranch in the Los Planes, La Paz, Baja California Sur. This study design was modified from USGS Short Term Vegetation Response Study (Wilson et al. 2021) with the goal to quantify changes in species abundance/cover, structure, and composition. The Society of Ecological Restoration identifies 3 major ecosystem attributes of importance when assessing restoration projects, such as the installation of NIDS (Society for Ecological Restoration International Science & Policy Working Group 2004; Ruiz-Jaen and Mitchell Aide 2005). These attributes are vegetation structure, diversity, and ecological processes. Our protocol can be used to directly quantify vegetation structure and diversity and by collecting data over several years we can indirectly assess the ecohydrological processes associated with NIDS (Norman, Lal, et al. 2022).","language":"English","publisher":"Investigación en la Cuenca de los Planes","usgsCitation":"Wilson, N., 2026, Los Planes watershed vegetation monitoring: Standard operating procedures, 23 p.","productDescription":"23 p.","ipdsId":"IP-181580","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":504252,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cuencalosplanes.com/2026/05/07/los-planes-watershed-vegetation-monitoring/"},{"id":504260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Baja California Sur","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Natalie R. 0000-0001-5145-1221","orcid":"https://orcid.org/0000-0001-5145-1221","contributorId":202534,"corporation":false,"usgs":true,"family":"Wilson","given":"Natalie R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":961399,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70275661,"text":"70275661 - 2026 - Inland recreational fisheries harvest far exceeds reported inland harvest in the United States","interactions":[],"lastModifiedDate":"2026-05-07T15:11:11.231577","indexId":"70275661","displayToPublicDate":"2026-05-06T10:02:05","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Inland recreational fisheries harvest far exceeds reported inland harvest in the United States","docAbstract":"Recreational fisheries are important global contributors to food security, socio-cultural practices, and local and regional economies. However, inland recreational fisheries are often overlooked by policymakers due to a limited understanding of the magnitude of participation, harvest, and economic impact. Here, we used the U.S. Inland Creel and Angler Survey Catalog and catch and effort model (CreelCatch) and several assumptions to provide an initial estimate of the magnitude of total inland recreational fisheries harvest in the conterminous USA. The CreelCatch model projected fishing harvest across lakes, ponds, and reservoirs based on fishing effort, water body area, and regional effects. We estimated that recreational lake fisheries in the conterminous USA likely harvest 236,000–671,000 tonnes of fish per year, 17–48 times greater than total inland fisheries harvest reported to the United Nations. Inland recreational fisheries may warrant greater consideration for their contribution to national scale socioeconomics and impacts on fish stocks and ecosystems.
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Newfoundland","active":true,"usgs":false}],"preferred":false,"id":961327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":358337,"corporation":false,"usgs":true,"family":"Embke","given":"Holly Susan","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":961328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":220490,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":961329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Midway, Stephen R.","contributorId":371231,"corporation":false,"usgs":false,"family":"Midway","given":"Stephen","middleInitial":"R.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":961330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paukert, Craig 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":268045,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":961331,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70276523,"text":"70276523 - 2026 - Leopard occupancy and habitat use in the multi-use Chitwan-Annapurna Landscape, Nepal","interactions":[],"lastModifiedDate":"2026-06-09T16:58:23.2741","indexId":"70276523","displayToPublicDate":"2026-05-06T09:53:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Leopard occupancy and habitat use in the multi-use Chitwan-Annapurna Landscape, Nepal","docAbstract":"We estimated leopard (Panthera pardus fusca) occupancy in a multi-use region within Nepal’s Chitwan-Annapurna Landscape to evaluate leopard habitat use and inform conservation planning in areas where most of the species’ habitat occurs outside protected areas. In 2021, sign surveys were conducted along 1277 km of transects distributed among 145 grid cells of 7×7 km within a 7105 km² study area, where 226 leopard signs (pugmarks and scats) were documented. We used an occupancy modeling framework to evaluate the influence of environmental and anthropogenic factors on leopard habitat use. We found that leopard occupancy (ψ = 0.73 ± 0.17 CI) was strongly and positively associated with areas used by wild prey such as red muntjac (Muntiacus muntjak), rhesus macaques (Macaca mulatta), chital (Axis axis), and wild boars (Sus scrofa). Our results provide evidence that large carnivores like leopards can persist in human-dominated landscapes when native prey remains abundant, underscoring the need for community-based conservation that sustains both prey and predator populations beyond protected areas. By estimating leopard occupancy outside of protected areas, the research establishes a baseline for developing management strategies to ensure the continued existence of leopards in Nepal's multi-use landscapes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2026.e04240","usgsCitation":"Poudel, S., Twining, J.P., Gilbert, M., Stedman, R.C., and Fuller, A.K., 2026, Leopard occupancy and habitat use in the multi-use Chitwan-Annapurna Landscape, Nepal: Global Ecology and Conservation, v. 68, e04240, 13 p., https://doi.org/10.1016/j.gecco.2026.e04240.","productDescription":"e04240, 13 p.","ipdsId":"IP-171391","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":505485,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2026.e04240","text":"Publisher Index Page"},{"id":505249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","otherGeospatial":"Chitwan-Annapurna Landscape","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 80.5864882,\n 30.6490225\n ],\n [\n 80.5864882,\n 30.6490225\n ],\n [\n 80.5864882,\n 30.6490225\n ],\n [\n 80.5864882,\n 30.6490225\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 81.02866442667329,\n 30.56489592755348\n ],\n [\n 87.9944056,\n 27.8945674\n ],\n [\n 88.0807955,\n 26.2641858\n ],\n [\n 83.212831,\n 27.4466117\n ],\n [\n 79.5715026,\n 28.8561584\n ],\n [\n 81.02866442667329,\n 30.56489592755348\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"68","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Poudel, Shashank","contributorId":348087,"corporation":false,"usgs":false,"family":"Poudel","given":"Shashank","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":962578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twining, Joshua P","contributorId":371922,"corporation":false,"usgs":false,"family":"Twining","given":"Joshua","middleInitial":"P","affiliations":[{"id":88237,"text":"Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Nash Hall, Corvallis, OR, USA, 97331","active":true,"usgs":false}],"preferred":false,"id":962579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilbert, Martin","contributorId":225478,"corporation":false,"usgs":false,"family":"Gilbert","given":"Martin","affiliations":[{"id":41138,"text":"College of Veterinary Medicine, Cornel University, Ithaca, NY, USA","active":true,"usgs":false}],"preferred":false,"id":962580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stedman, Richard C","contributorId":371923,"corporation":false,"usgs":false,"family":"Stedman","given":"Richard","middleInitial":"C","affiliations":[{"id":88238,"text":"Ashley School of Global Development and the Environment, Cornell University, Fernow Hall, Ithaca, NY, USA, 14850","active":true,"usgs":false}],"preferred":false,"id":962581,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":962582,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275657,"text":"70275657 - 2026 - Drift and dispersion of silver carp (Hypophthalmichthys molitrix) eggs and larvae for hypothetical spawning scenarios in the Upper Mississippi River","interactions":[],"lastModifiedDate":"2026-05-07T14:43:22.789474","indexId":"70275657","displayToPublicDate":"2026-05-06T09:33:25","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Drift and dispersion of silver carp (Hypophthalmichthys molitrix) eggs and larvae for hypothetical spawning scenarios in the Upper Mississippi River","title":"Drift and dispersion of silver carp (Hypophthalmichthys molitrix) eggs and larvae for hypothetical spawning scenarios in the Upper Mississippi River","docAbstract":"Invasive carp pose ecological and economic risks to North American freshwater systems. This study uses the Fluvial Egg Drift Simulator to model the drift of invasive silver carp (Hypophthalmichthys molitrix) eggs and larvae after hypothetical spawning in Pools 1–10 of the Upper Mississippi River. Although adult invasive carps have been detected in this region, no reproduction has been confirmed as of this publication. A total of 450 spawning scenarios were simulated, representing 5 water temperatures, 9 flows, and 10 spawning locations in the tailwaters of lock and dam structures. The study examined egg and larval positions at two key developmental stages: hatching and gas bladder inflation, when larvae seek nursery habitat. Under a wide variety of flow conditions and water temperatures, eggs spawned upstream from Lake Pepin (Pool 4) are likely to settle in the lake before hatching, possibly increasing mortality rates. Eggs that survive passage through Lake Pepin reach gas bladder inflation within the study area, except in scenarios with lower temperatures and higher flows. Conversely, larvae spawned downstream from Lake Pepin generally drift out of the study area before reaching gas bladder inflation, except in cases of higher temperatures and lower flows. These findings inform ichthyoplankton sampling strategies and management actions aimed at reducing invasive carp populations in areas likely to support recruitment.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-026-41803-w","usgsCitation":"LeRoy, J.Z., Loppnow, G., Jackson, P.R., and Lasher, G.E., 2026, Drift and dispersion of silver carp (Hypophthalmichthys molitrix) eggs and larvae for hypothetical spawning scenarios in the Upper Mississippi River: Scientific Reports, v. 16, 14421, 18 p., https://doi.org/10.1038/s41598-026-41803-w.","productDescription":"14421, 18 p.","ipdsId":"IP-173009","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":504213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-026-41803-w","text":"Publisher Index Page"},{"id":504086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.6,\n 45.1\n ],\n [\n -90,\n 45.1\n ],\n [\n -90,\n 42.667\n ],\n [\n -93.6,\n 42.667\n ],\n [\n -93.6,\n 45.1\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2026-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"LeRoy, Jessica Z. 0000-0003-4035-6872 jzinger@usgs.gov","orcid":"https://orcid.org/0000-0003-4035-6872","contributorId":174534,"corporation":false,"usgs":true,"family":"LeRoy","given":"Jessica","email":"jzinger@usgs.gov","middleInitial":"Z.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loppnow, Grace","contributorId":344014,"corporation":false,"usgs":false,"family":"Loppnow","given":"Grace","email":"","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":961321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lasher, G. Everett 0000-0001-6975-8264","orcid":"https://orcid.org/0000-0001-6975-8264","contributorId":371225,"corporation":false,"usgs":false,"family":"Lasher","given":"G.","middleInitial":"Everett","affiliations":[{"id":7197,"text":"Unaffiliated","active":true,"usgs":false}],"preferred":false,"id":961323,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275189,"text":"sir20265002 - 2026 - Analysis of alternative weir designs for improved passage of select fish at the U.S. Geological Survey streamgaging weir at Blackwells Mills, New Jersey","interactions":[],"lastModifiedDate":"2026-05-11T16:59:37.032231","indexId":"sir20265002","displayToPublicDate":"2026-05-04T11:50:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5002","displayTitle":"Analysis of Alternative Weir Designs for Improved Passage of Select Fish at the U.S. Geological Survey Streamgaging Weir at Blackwells Mills, New Jersey","title":"Analysis of alternative weir designs for improved passage of select fish at the U.S. Geological Survey streamgaging weir at Blackwells Mills, New Jersey","docAbstract":"As the population of New Jersey continues to remain dense, the need for water supply will likely continue to be high, which can lead to water managers needing to make difficult decisions about managing drinking-water supply. Streamgaging weirs like the ones used by the U.S. Geological Survey (USGS) play a critical role in providing accurate and stable streamflow data, but their presence can affect the passage of diadromous fish species such as river herring (Alosa pseudoharengus [alewife], Alosa aestivalis [blueback herring], and Alosa sapidissima [American shad]). In some situations, weirs existing in rivers and streams are no longer used because they were part of a farm irrigation system or some type of industrial operation. The weir at the USGS streamgage 01402000 Millstone River at Blackwells Mills, New Jersey, was purposefully built as a hydraulic-control structure that provides a precise and stable control for the measurement of stage and computation of continuous streamflow. To satisfy the dual need of maintaining accurate streamflow data and providing improved fish passage for select species of fish during migration season, the USGS proposed the development and evaluation of two alternative weir designs that would meet the criteria established for successful passage of American shad, alewife, and blueback herring during their yearly migration. The designs were also required to maintain adequate control of the upstream pool elevation necessary for the precise computation of streamflow used by State agencies for municipal water-supply purposes for surrounding communities.
Two alternative weir design modifications were incorporated at the center of the Blackwells Mills weir and modeled using two-dimensional hydraulic modeling software and three-dimensional computational fluid-dynamics software to simultaneously evaluate conditions for passage of the target fish species and effects to streamflow computations at the streamgage. The models were calibrated to existing conditions around the weir location using surveyed-elevation data and recorded stage, streamflow, and velocity in the Millstone River. The alternative weir designs lowered the weir crest by 1.02 feet (ft) and the resulting simulations showed an effective increase in depth of 0.98 ft at the median streamflow of 251 cubic feet per second (ft3/s) and 0.96 ft at the 95-percent exceedance streamflow of 98 ft3/s. The alternative weir designs were also found to increase streamflow depth across the shallowest portions of the weir structure at the downstream anti-scour skirt by lowering the skirt about 4 inches, allowing for two or more body depths of water for American shad, alewife, and blueback herring at the median migration streamflow of 251 ft3/s. The alternative weir designs also reduced the highest stream velocities across the downstream weir sill and anti-scour skirt from about 9 to 10 feet per second, and the depth-averaged velocity to about 7 to 8 feet per second. The sensitivity of the weir with respect to the computation of streamflow was increased from about 1.8 cubic feet per second per hundredth foot to 1.6 cubic feet per second per hundredth foot for streamflows of about 10–100 cubic feet per second.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265002","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Suro, T.P., Niemoczynski, M.J., and Mulligan, K.B., 2026, Analysis of alternative weir designs for improved passage of select fish at the U.S. Geological Survey streamgaging weir at Blackwells Mills, New Jersey: U.S. Geological Survey Scientific Investigations Report 2026–5002, 31 p., https://doi.org/10.3133/sir20265002.","productDescription":"Report: ix, 31 p.; Data Release","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-179030","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504269,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119406.htm","linkFileType":{"id":5,"text":"html"}},{"id":503276,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5002/coverthb.jpg"},{"id":503277,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5002/sir20265002.pdf","text":"Report","size":"56.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5002 PDF"},{"id":503278,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265002/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5002 HTML"},{"id":503279,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5002/sir20265002.XML","text":"SIR 2026-5002 XML","description":"SIR 2026-5002 XML"},{"id":503280,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5002/images"},{"id":503281,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14T93HI","text":"USGS data release","linkHelpText":"HEC-RAS and FLOW 3-D HYDRO models used to evaluate alternative weir designs for the Millstone River at Blackwells Mills, New Jersey"}],"country":"United States","state":"New Jersey","otherGeospatial":"Blackwells Mills","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.57920795080669,\n 40.47768788237764\n ],\n [\n -74.57239357394151,\n 40.47768788237764\n ],\n [\n -74.57239357394151,\n 40.47245781646623\n ],\n [\n -74.57920795080669,\n 40.47245781646623\n ],\n [\n -74.57920795080669,\n 40.47768788237764\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
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Prioritization is a central component of natural resource management because conservation needs routinely exceed available resources. Waterfowl and wetland conservation programs in North America are at the forefront of landscape-scale prioritization and transboundary management decisions due to the migratory nature of ducks, geese, and swans. The growing availability of geographic information systems (GIS) and geospatial technologies has accelerated the development of multi-objective landscape prioritization models, including applications of structured decision making and multi-criteria decision analysis to spatial planning for waterfowl and wetlands at the continental scale. However, regional managers and conservationists could benefit from flexibility in downscaling continental tools, selecting objectives, and assigning weights for rapid production of spatial prioritization models at smaller spatial scales without extensive computer coding or GIS analysis. We developed a spatial value model that prioritizes landscapes at sub-continental scales (e.g., states and provinces, bird conservation regions, etc.) and provides flexibility for users to select waterfowl conservation objectives of interest and weights. Our model can be used for direct downscaling of an existing continental geospatial model or further customized with region-specific geospatial data. We illustrate how regional prioritization can vary with the spatial scale selected by the user. The spatial value modeling framework and the downscaling tool presented here could increase the use of multi-criteria decision analysis and linear value modeling in spatial landscape prioritization, while also providing flexibility for selecting scales, objectives, and weights. Our spreadsheet tool was developed specifically for use by regional biologists, conservationists, and managers and does not require knowledge of GIS software (although results can be exported from the spreadsheet for spatial analysis using GIS). Together, the model outputs and the accompanying spreadsheet tool provide a bridge between continental waterfowl conservation and regional implementation, enabling rapid, stakeholder-driven, value-explicit prioritization.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.70027","usgsCitation":"Couvillon, A., Soulliere, G., Gordon, D., Eggeman, D., Al-Saffar, M.A., Humburg, D.D., and Lyons, J., 2026, Regional conservation planning tool: A spreadsheet model to support spatial prioritization and resource allocation decisions: Wildlife Society Bulletin, https://doi.org/10.1002/wsb.70027.","ipdsId":"IP-168494","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504385,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.70027","text":"Publisher Index Page"},{"id":504242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Couvillon, Anastasia","contributorId":371246,"corporation":false,"usgs":false,"family":"Couvillon","given":"Anastasia","affiliations":[{"id":63963,"text":"University of Louisiana","active":true,"usgs":false}],"preferred":false,"id":961373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soulliere, Gregory J.","contributorId":353609,"corporation":false,"usgs":false,"family":"Soulliere","given":"Gregory J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":961374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gordon, David H.","contributorId":221670,"corporation":false,"usgs":false,"family":"Gordon","given":"David H.","affiliations":[],"preferred":false,"id":961375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eggeman, Diane","contributorId":371247,"corporation":false,"usgs":false,"family":"Eggeman","given":"Diane","affiliations":[{"id":81180,"text":"Ducks Unlimited, Inc","active":true,"usgs":false}],"preferred":false,"id":961376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Al-Saffar, Mohammed A","contributorId":292215,"corporation":false,"usgs":false,"family":"Al-Saffar","given":"Mohammed","email":"","middleInitial":"A","affiliations":[{"id":62842,"text":"USWFS","active":true,"usgs":false}],"preferred":false,"id":961377,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":961378,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":228916,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961379,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275639,"text":"70275639 - 2026 - Sex-specific Atlantic salmon upstream passage and fallback at a natural cascade after dam removal","interactions":[],"lastModifiedDate":"2026-05-06T14:17:24.104518","indexId":"70275639","displayToPublicDate":"2026-05-04T09:09:05","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Sex-specific Atlantic salmon upstream passage and fallback at a natural cascade after dam removal","docAbstract":"In the Boquet River (NY, USA) a low-head dam set above a ~200-m bedrock cascade was removed in 2015. We used radio-telemetry to assess landlocked Atlantic salmon passage at the remaining cascade (2020, 2022). Across years, 52% of males (13/25) attempted cascade passage whereas females made no discernable attempts (0/11). Attempt probability increased with stream discharge and decreased with fish size, though overall passage success was low (1/36). Shallow depths—likely owing to an artificially widened channel—appear to be limiting passage. Additionally, we transported fish upstream but observed high fallback (72%) that was associated with fish size and energetic status. Following dam removal, this cascade continues to limit upstream passage resulting in increased vulnerability to angling during migratory delay. Overall, we highlight the importance of follow-up studies after dam removal, and that further modifications at this site may be required to improve passage.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.70073","usgsCitation":"Heim, K., Withers, J.L., Arden, W., Earley, L., Minkoff, D., and Castro-Santos, T., 2026, Sex-specific Atlantic salmon upstream passage and fallback at a natural cascade after dam removal: Fisheries Management and Ecology, https://doi.org/10.1111/fme.70073.","ipdsId":"IP-186514","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504207,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fme.70073","text":"Publisher Index Page"},{"id":504028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Sttes","state":"New York","otherGeospatial":"Boquet River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.38125877457146,\n 44.37183860284628\n ],\n [\n -73.40052824783562,\n 44.37183860284628\n ],\n [\n -73.40052824783562,\n 44.35898484287253\n ],\n [\n -73.38125877457146,\n 44.35898484287253\n ],\n [\n -73.38125877457146,\n 44.37183860284628\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Heim, Kurt C.","contributorId":264533,"corporation":false,"usgs":false,"family":"Heim","given":"Kurt C.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":961254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Withers, Jonah L.","contributorId":265471,"corporation":false,"usgs":false,"family":"Withers","given":"Jonah","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":961255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arden, William","contributorId":371206,"corporation":false,"usgs":false,"family":"Arden","given":"William","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":961256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Earley, Laurie","contributorId":371207,"corporation":false,"usgs":false,"family":"Earley","given":"Laurie","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":961257,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minkoff, David","contributorId":371208,"corporation":false,"usgs":false,"family":"Minkoff","given":"David","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":961258,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Castro-Santos, Theodore 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":315433,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":961259,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276389,"text":"70276389 - 2026 - Identifying potential invasion hotspots for non-native fluvial fishes throughout the conterminous United States","interactions":[],"lastModifiedDate":"2026-06-03T14:55:24.5174","indexId":"70276389","displayToPublicDate":"2026-05-02T07:50:22","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Identifying potential invasion hotspots for non-native fluvial fishes throughout the conterminous United States","docAbstract":"Identifying habitats that non-native fluvial fishes are likely to invade provides information for proactive management, conservation planning, and understanding the ecology of biological invasions. We identified streams in the conterminous United States with high invasion risk from 20 non-native fluvial fish species. Specifically, we (1) developed habitat suitability models for each species using nine natural and six anthropogenic predictors within nine large ecoregions, identifying the potential invasion hotspots; (2) evaluated the relative importance of natural and anthropogenic predictors for each species; and (3) assessed potential invasion risk to protected stream habitats. Predicted invasion hotspots included much of Florida, coastal regions of Texas and Louisiana, and areas surrounding major metropolitan centers such as Chicago, New York, and Phoenix. Model predictions indicate that goldfish (Carassius auratus), pirapitinga (Piaractus brachypomus), and pond loach (Misgurnus anguillicaudatus) could occupy extensive suitable habitats across the conterminous United States. The most influential natural predictor across species was network catchment area (a surrogate for stream size), while the most influential anthropogenic predictor was human population density. Goldfish were predicted to be present in protected areas across all nine ecoregions, highlighting their high invasion potential. Collectively, our results provide critical information on regions vulnerable to invasion and the species most likely to become established and identify areas at risk of invasion within protected landscapes.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10530-026-03826-2","usgsCitation":"Yu, H., Cooper, A.R., Ross, J.A., Daniel, W.M., Taylor, J.E., Sargsyan, A., and Infante, D.M., 2026, Identifying potential invasion hotspots for non-native fluvial fishes throughout the conterminous United States: Biological Invasions, v. 28, 120, 37 p., https://doi.org/10.1007/s10530-026-03826-2.","productDescription":"120, 37 p.","ipdsId":"IP-186168","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":505052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-026-03826-2","text":"Publisher Index Page"},{"id":504964,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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system-based hydraulic modeling tool for developing preliminary culvert designs for stream crossings in Massachusetts","docAbstract":"Currently (2026), many of the about 25,000 roadway crossing structures over rivers and streams in Massachusetts are undersized. Undersized culverts and bridges can be detrimental to fish and wildlife movement, habitat continuity, and the health of aquatic organisms. Undersized culverts also can lack the resiliency needed to withstand large floods, which could be worsened by potential increases in flood magnitude and frequency due to climate change. Improving culvert and bridge designs for stream crossing projects may improve aquatic organism passage, stream continuity, and resiliency during future floods by decreasing upstream overbank flooding, road flooding and erosion, and degradation of aquatic habitat.
The U.S. Geological Survey (USGS), Massachusetts Department of Environmental Protection (MassDEP), and University of Massachusetts Amherst began a series of cooperative studies in July 2019 to develop an automated geographic information system (GIS) hydraulic modeling tool for preliminary culvert designs for stream crossings. The USGS plans to provide preliminary culvert designs in the web-based StreamStats application, which enables municipalities and engineers to view potential designs and related information for stream crossing replacement projects in Massachusetts. This application can (a) provide information on hydrology, hydraulics, and ecological conditions at stream crossing sites, (b) provide users with potential culvert designs to improve aquatic organism passage and flood resiliency, and (c) assist MassDEP in implementing the Massachusetts Wetlands Protection Act regulations for stream crossing projects.
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\"}}]}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
Water-supply managers in the Colorado River Basin are tasked with balancing consumptive water use with natural water supply. Decisions associated with water-supply policy can include where and how much water consumption occurs, where water could be stored, and how to operate reservoirs. Water-supply decisions often affect other resources including energy production, recreation and aquatic ecosystems.
The goal of this project was to model how different water supply management scenarios might affect riverine ecosystems with a specific focus on potential impacts on federally listed fish populations, including threatened humpback chub (Gila cypha) and endangered Colorado pikeminnow (Ptychocheilus lucius) and razorback sucker (Xyrauchen texanus). Threats to these endemic species include introduced non-native fish species that often become invasive, like smallmouth bass (Micropterus dolomieu), and altered physical conditions that may favor these non-native fish species over the endemic fish species. Changes in how water supply may be managed in the Colorado River Basin can affect physical conditions in rivers by altering how much water flows through a particular river segment at a given time, by changing the extent of riverine ecosystems between reservoirs, and by determining the quality of water released from storage reservoirs with fixed release elevation (e.g., full reservoirs generally release colder water). To address our goal, we developed tools that coupled water storage models, river temperature models and fish population models to examine how different scenarios to operate Lake Mead, Lake Powell, and Flaming Gorge Reservoir, the three largest reservoirs in the watershed, may affect fish populations.
We developed our work plan when available water supply was diminished. At the end of our project period (May 2022), Lake Powell and Lake Mead contained historically low water levels, and our models were being used in evaluating different options for operating Lake Powell by the Bureau of Reclamation and other stakeholders.
","language":"English","publisher":"Southwest Climate Adaptation Science Center","usgsCitation":"Schmidt, J.C., and Yackulic, C.B., 2026, Informing policy response to declining water supply in the Colorado River basin: Linking water supply management with outcomes for fish communities: Final Report, 30 p.","productDescription":"30 p.","ipdsId":"IP-171966","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504545,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/4f8c6580e4b0546c0c397b4e/5d49e2eae4b01d82ce8de984"}],"country":"United States","state":"Arizona, Utah, Wyoming","otherGeospatial":"Colorado River, Flaming Gorge Dam, Glen Canyon Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.3057922,\n 41.668286\n ],\n [\n -113.78987108248965,\n 41.668286\n ],\n [\n -113.78987108248965,\n 35.11578036179964\n ],\n [\n -108.3057922,\n 35.11578036179964\n ],\n [\n -108.3057922,\n 41.668286\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, John C.","contributorId":371443,"corporation":false,"usgs":false,"family":"Schmidt","given":"John","middleInitial":"C.","affiliations":[{"id":88143,"text":"Janet Quinney Lawson Chair in Colorado River Studies, Center for Colorado River Studies, Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":961827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961828,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275653,"text":"70275653 - 2026 - An overview and participatory framework for choosing spatial boundaries in social–ecological systems modeling","interactions":[],"lastModifiedDate":"2026-05-07T15:15:49.50451","indexId":"70275653","displayToPublicDate":"2026-05-01T10:11:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5685,"text":"ISPRS International Journal of Geo-Information ","printIssn":"2220-9964","active":true,"publicationSubtype":{"id":10}},"title":"An overview and participatory framework for choosing spatial boundaries in social–ecological systems modeling","docAbstract":"A common challenge when modeling social–ecological systems (SESs) is defining the spatial extent of the system. Boundaries that do not adequately capture both social and ecological processes and their interactions can lead to mischaracterization of the system, while expanding boundaries too widely can impact model complexity and required resources. Socially, boundaries can invoke and influence identity, culture, power, and sense of place. Boundary decisions benefit from flexible, iterative approaches and the expertise of local communities. Here, we use a structured database search supplemented with citation searching to identify and review the literature that addresses choosing or defining spatial boundaries in SESs mapping or modeling and, when applicable, how participatory methods were used in the research process. In a review of the resulting 79 studies, we discovered that pre-existing social or ecological boundaries were used most frequently (36 and 18 publications, respectively). Twenty-one publications combined social and ecological boundaries or data to create custom boundaries, and four studies used an alternative approach to conventional boundaries. Informed by the literature review, we present a general framework for defining boundaries at the outset of SES research. We then connect the framework to a specific case study based on a collaborative project with Tribal, university, and federal scientists to develop a social–ecological climate adaptation plan. We present guiding questions alongside candidate boundaries for our study system and explore the tradeoffs of these boundary options, which can function as a useful template for other social–ecological research collaborations.
","language":"English","publisher":"MPDI","doi":"10.3390/ijgi15050196","usgsCitation":"Perella, C.D., Vukomanovic, J., Hickman, C., Terando, A.J., Eaton, M.J., and Schaefer, M., 2026, An overview and participatory framework for choosing spatial boundaries in social–ecological systems modeling: ISPRS International Journal of Geo-Information, v. 15, no. 5, 196, 35 p., https://doi.org/10.3390/ijgi15050196.","productDescription":"196, 35 p.","ipdsId":"IP-181199","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":504220,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijgi15050196","text":"Publisher Index Page"},{"id":504094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Perella, Christina D.","contributorId":371222,"corporation":false,"usgs":false,"family":"Perella","given":"Christina","middleInitial":"D.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":961313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vukomanovic, Jelena","contributorId":316275,"corporation":false,"usgs":false,"family":"Vukomanovic","given":"Jelena","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":961314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickman, Caleb R.","contributorId":356386,"corporation":false,"usgs":false,"family":"Hickman","given":"Caleb R.","affiliations":[{"id":84985,"text":"Eastern Band of Cherokee Indians","active":true,"usgs":false}],"preferred":false,"id":961315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Terando, Adam J.","contributorId":371223,"corporation":false,"usgs":false,"family":"Terando","given":"Adam","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":961316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":961317,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schaefer, Marie","contributorId":371224,"corporation":false,"usgs":false,"family":"Schaefer","given":"Marie","affiliations":[],"preferred":false,"id":961318,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275754,"text":"70275754 - 2026 - Revisiting the utility of regional-scale, high-quality geophysical data in mineral exploration - A case study featuring the Mammoth Magnetic Anomaly, Pinal County, Arizona","interactions":[],"lastModifiedDate":"2026-05-18T15:10:18.71482","indexId":"70275754","displayToPublicDate":"2026-05-01T09:58:40","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Revisiting the utility of regional-scale, high-quality geophysical data in mineral exploration - A case study featuring the Mammoth Magnetic Anomaly, Pinal County, Arizona","docAbstract":"Regional aeromagnetic surveys passively measure the total magnetic intensity (TMI) and are a foundational tool used in mineral exploration (Airo, 2015). With the increased global demand and the number of critical mineral resources required for manufacturing high-tech devices, developing high-quality, regional-scale geophysical surveys could aid critical mineral exploration efforts and geologic mapping. In 2019, the U. S. Geological Survey launched the Earth Mapping Resources Initiative (Earth MRI) to modernize the geologic and geophysical mapping of regions that have the potential to contain critical mineral resources within the United States. In support of planning Earth MRI geophysical surveys, Drenth and Grauch (2019) defined five aeromagnetic data quality rankings (rank 1 through rank 5) applying them to the airborne geophysical survey inventory of the United States (Johnson et al., 2021). Rank 1 aeromagnetic surveys are of the highest quality, meeting modern standards and allowing best practices for qualitative and quantitative interpretation; whereas rank 5 aeromagnetic surveys are of the lowest quality, being useful only for qualitative interpretation of broad features. Through the Earth MRI effort, 48 high-quality, regional-scale rank 1 and 2 airborne magnetic and radiometric geophysical surveys have been planned, collected, or publicly release through May 2025 (U. S. Geological Survey, 2025). Here, a portion of a rank 1 Earth MRI aeromagnetic survey in southeast Arizona is presented and compared to a legacy rank 5 aeromagnetic survey over the Mammoth Magnetic Anomaly (MMA), demonstrating how modern, high-quality aeromagnetic data improves our view of crustal geology, aiding mineral exploration.","conferenceTitle":"Mineral Prospectivity and Exploration Targeting – MinProXT 2025","conferenceDate":"October 21-24, 2025","language":"English","publisher":"Geological Survey of Finland","usgsCitation":"Walter, C.A., 2026, Revisiting the utility of regional-scale, high-quality geophysical data in mineral exploration - A case study featuring the Mammoth Magnetic Anomaly, Pinal County, Arizona, Mineral Prospectivity and Exploration Targeting – MinProXT 2025, October 21-24, 2025, p. 54-57.","productDescription":"4 p.","startPage":"54","endPage":"57","ipdsId":"IP-183052","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":504478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504465,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://urn.fi/URN:NBN:fi:gtk-1.2.246.563.1.131543"}],"country":"United States","state":"Arizona","county":"Pinal County","otherGeospatial":"Mammoth Magnetic Anomaly","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.6527,\n 32.85\n ],\n [\n -110.4398,\n 32.85\n ],\n [\n -110.4398,\n 32.716522\n ],\n [\n -110.6527,\n 32.716522\n ],\n [\n -110.6527,\n 32.85\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Walter, Callum Andrew 0000-0001-7955-2016","orcid":"https://orcid.org/0000-0001-7955-2016","contributorId":360911,"corporation":false,"usgs":true,"family":"Walter","given":"Callum","middleInitial":"Andrew","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":961654,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70274338,"text":"70274338 - 2026 - The United States Magnetotelluric Array and the National Impedance Map","interactions":[],"lastModifiedDate":"2026-05-01T14:26:55.789731","indexId":"70274338","displayToPublicDate":"2026-05-01T09:02:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"The United States Magnetotelluric Array and the National Impedance Map","docAbstract":"The United States Magnetotelluric Array (USMTArray) data set, collected in the years 2006–2024, consists of more than 1,700 long-period magnetotelluric stations covering the entirety of the contiguous United States on a quasi-regular 70 km grid. Funding across multiple federal agencies was critical to sustaining this effort to its completion. Important components of the project included active guidance and participation from the MT community, the open and timely availability of all data, and the application of consistent instrumentation and robust data processing. Together with parallel advancement in the development of publicly available three-dimensional (3D) inversion codes, the USMTArray has revitalized the US magnetotelluric community and increased the visibility of magnetotellurics within the Earth-science community. Taken as a whole, these data are visualized as the National Impedance Map, which, together with a 3D synthesis conductivity model of the nation, reveals the electrical architecture of the contiguous US. USMTArray data are used by researchers worldwide for fundamental and applied studies, including investigations of continental architecture and evolution, estimation of hazards to critical infrastructure due to geomagnetic storms, and assessment of the nation's undiscovered geothermal and mineral resources. We here review the history and development of the project, discuss the challenges and successes in its execution, present the National Impedance Map and synthesis conductivity model, and highlight the breadth of research stemming from this rich data set.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024RG000850","usgsCitation":"Kelbert, A., Bedrosian, P.A., Schultz, A., Egbert, G.D., Pellerin, L., Love, J.J., Frassetto, A., and Murphy, B., 2026, The United States Magnetotelluric Array and the National Impedance Map: Reviews of Geophysics, v. 64, no. 2, e2024RG000850, 57 p., https://doi.org/10.1029/2024RG000850.","productDescription":"e2024RG000850, 57 p.","ipdsId":"IP-184233","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":504158,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024rg000850","text":"Publisher Index Page"},{"id":503882,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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In 2025, 37 sites in the Wanaque, Ramapo, Pompton, and Passaic River watersheds were sampled in January, March, July, and September under base-flow conditions and a subset of sites was sampled during two rain events. Samples were analyzed for 40 individual PFAS and total organic carbon and a subset of samples was analyzed for 1,4-dioxane and trace elements. Fifteen PFAS were detected at least once, with individual concentrations ranging from 0.42 to 28 nanograms per liter (ng/L; median, 2.8 ng/L). Perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS) were widespread and detected in 100 and 97 percent of the samples, respectively. Concentrations of PFOA and PFOS ranged from 1.2 to 28 ng/L (median, 7.7 ng/L) and from 0.52 to 12 ng/L (median, 3.8 ng/L), respectively. Generally, concentrations were lower in the Wanaque and Ramapo River watersheds compared to the Pompton and Passaic River watersheds. Concentrations of PFOA and PFOS were highest in July and September when flows were low. During rain events, median concentrations of PFOS were elevated compared to those observed under base-flow conditions, indicating potential inputs from non-point sources. To understand potential drivers of PFAS concentrations, land cover and potential PFAS sources were summarized for each sampling site, and an accumulated wastewater model was used to estimate the percentage of wastewater from upstream municipal and industrial sources in all flowlines of the Passaic River Basin. Developed land, the number of potential sources, and the mean-annual accumulated wastewater percentage were highly correlated with PFAS concentrations and Deciduous Forests were negatively related to concentrations. Data provided by this study can be used by water purveyors and resource managers to make treatment and mitigation decisions to minimize PFAS in local surface waters used as drinking-water resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265018","collaboration":"Prepared in cooperation with the North Jersey District Water Supply Commission","usgsCitation":"Schreiner, M.L., Romanok, K.M., Gray, J.T., Brown, E.J., Williams, B.M., Kneser, M., Capuzzi, A.J., Boerner, J., Giunta, L., Serillo, P., Trainor, J.J., and Smalling, K.L., 2026, Understanding the occurrence and distribution of per- and polyfluoroalkyl substances (PFAS) in surface waters of the nontidal Passaic River Basin: U.S. Geological Survey Scientific Investigations Report 2026–5018, 64 p., https://doi.org/10.3133/sir20265018.","productDescription":"Report: ix, 64 p.; Data Release","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-184195","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":503901,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119389.htm","linkFileType":{"id":5,"text":"html"}},{"id":503606,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1RGG9YQ","text":"USGS data release","linkHelpText":"Per- and polyfluoroalkyl substances (PFAS) concentration results in the Wanaque, Ramapo, Pompton and Passaic River watersheds, New Jersey 2025"},{"id":503604,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5018/sir20265018.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5018 XML"},{"id":503603,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265018/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5018 HTML"},{"id":503605,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5018/images/"},{"id":503602,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5018/sir20265018.pdf","text":"Report","size":"4.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5018 PDF"},{"id":503601,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5018/coverthb.jpg"}],"country":"United States","state":"New Jersey, New York","otherGeospatial":"Passaic River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.83442630336236,\n 41.42203271609333\n ],\n [\n -74.7558402457881,\n 41.42203271609333\n ],\n [\n -74.7558402457881,\n 40.74669233601534\n ],\n [\n -73.83442630336236,\n 40.74669233601534\n ],\n [\n -73.83442630336236,\n 41.42203271609333\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
U.S. Geological Survey researchers, in cooperation with the North Jersey District Water Supply Commission, determined that per- and polyfluoroalkyl substances (PFAS) are present in northern New Jersey rivers that are used as drinking-water sources. During their 2025 study, the researchers sampled 37 locations across the Wanaque, Ramapo, Pompton, and Passaic River watersheds. The researchers tested each sample for 40 types of PFAS. Of these, 15 were detected at least once. Two PFAS, perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS), were present in nearly every sample. PFAS concentrations varied by watershed and season. The lowest were detected in the Wanaque and Ramapo River watersheds, and the highest, in the Pompton and Passaic River watersheds. Concentrations of PFOA and PFOS were highest under base-flow conditions in July and September.
","publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Schreiner, Molly L. 0000-0001-9306-5564","orcid":"https://orcid.org/0000-0001-9306-5564","contributorId":296363,"corporation":false,"usgs":true,"family":"Schreiner","given":"Molly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanok, Kristin M. 0000-0002-8472-8765 kromanok@usgs.gov","orcid":"https://orcid.org/0000-0002-8472-8765","contributorId":204640,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin","email":"kromanok@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Jacob T. 0000-0002-9374-0336","orcid":"https://orcid.org/0000-0002-9374-0336","contributorId":330273,"corporation":false,"usgs":true,"family":"Gray","given":"Jacob","middleInitial":"T.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Eileen J. 0000-0003-3417-0203 ejbrown@usgs.gov","orcid":"https://orcid.org/0000-0003-3417-0203","contributorId":361968,"corporation":false,"usgs":true,"family":"Brown","given":"Eileen","email":"ejbrown@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Brianna M. 0000-0003-3389-8251","orcid":"https://orcid.org/0000-0003-3389-8251","contributorId":204714,"corporation":false,"usgs":false,"family":"Williams","given":"Brianna","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960548,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kneser, Maureen","contributorId":370591,"corporation":false,"usgs":false,"family":"Kneser","given":"Maureen","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960549,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Capuzzi, Albert J.","contributorId":370592,"corporation":false,"usgs":false,"family":"Capuzzi","given":"Albert","middleInitial":"J.","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960550,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boerner, Jason","contributorId":370593,"corporation":false,"usgs":false,"family":"Boerner","given":"Jason","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960551,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Giunta, Luke","contributorId":370594,"corporation":false,"usgs":false,"family":"Giunta","given":"Luke","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960552,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Serillo, Paul","contributorId":370595,"corporation":false,"usgs":false,"family":"Serillo","given":"Paul","affiliations":[{"id":88047,"text":"North Jersey District Water Supply Commission","active":true,"usgs":false}],"preferred":false,"id":960553,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Trainor, John J. 0000-0002-6603-2684 jtrainor@usgs.gov","orcid":"https://orcid.org/0000-0002-6603-2684","contributorId":5408,"corporation":false,"usgs":true,"family":"Trainor","given":"John","email":"jtrainor@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960554,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960555,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70276534,"text":"70276534 - 2026 - Forecasting spread of invasive fish over a largescale network of lakes using local expert knowledge","interactions":[],"lastModifiedDate":"2026-06-09T18:00:44.77825","indexId":"70276534","displayToPublicDate":"2026-04-30T10:53:33","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":868,"text":"Aquatic Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting spread of invasive fish over a largescale network of lakes using local expert knowledge","docAbstract":"Understanding spatial distribution patterns is essential to management of invasive species. Aquatic invasive species can be notably challenging to detect due to the substantial effort required to locate them underwater. This limitation has resulted in a lack of timely distribution maps, particularly over vast regions, and hindered efforts to understand, forecast, and manage the proliferation of invasive bigheaded carps (Hypophthalmichthys spp.). Much of the Mississippi River basin, particularly the Lower Mississippi Alluvial Valley, provides access to a massive network of interconnected floodplain lakes. In the absence of lake-specific monitoring data on carp occurrence status, we used local expert knowledge, provided by fish managers interviewed virtually, in conjunction with Maximum Entropy (MaxEnt) modeling, to predict bigheaded carps distribution in relation to lake physical characteristics. We predicted widespread carp invasion in more than 60% of over one thousand floodplain lakes, with lake size, inundation, and proximity to rivers closely related to carp presence. The resultant distribution map may be imprecise given the swift proliferation of bigheaded carps and sparse monitoring data, but it offers a baseline upon which presence data and range can be compared. This assessment method is also a resource for identifying priority management and conservation areas and can serve as a first step in conservation planning.
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We developed the PJ Woodland Climate Adaptation Management Menu, a decision support tool designed to guide adaptive, climate-informed management of PJ ecosystems, particularly within the Colorado Plateau ecoregion. The menu was created through an iterative, collaborative process involving literature review, integration of strategies from existing adaptation frameworks, and extensive input from scientists, land managers, and community partners during workshops and focus groups. The menu links specific, evidence-based approaches to each of six broad strategies, including soliciting community input, mitigating disturbance, enhancing and maintaining biodiversity, conserving ecotones, timing actions for optimal outcomes, and accepting climate-driven changes when appropriate. It is intended for use with the Adaptation Workbook to help managers connect local goals and climate vulnerabilities to tailored management tactics. Hypothetical scenarios demonstrate the menu’s application to contrasting PJ woodland conditions, from die-off events to old-growth maintenance. Lessons learned during development underscore the value of early stakeholder engagement, cross-sector collaboration, and balancing diverse ecological objectives. This menu offers a flexible, transferable framework to strengthen climate resilience in PJ woodlands and serves as a model that could improve adaptation planning in other dryland forest ecosystems.
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