Many hydrologic applications require basic information on the size and shape of river channels, but measuring cross section (XS) geometry in the field or via remote sensing can be costly and often provides only partial coverage. Given these challenges, we capitalized upon an existing data set of 46,971 XS from gaging stations to evaluate various approximations of channel shape. After screening and pre-processing these data, we fit four model types to each XS, including a new approach that involves Stacking PDFs (probability density functions) to Approximate River Channel Shapes (SPARCS). This framework produced depth estimates that closely matched field measurements, with typical cross-sectional area errors <1% and a median R2 of 0.77 for comparison of observed and predicted depths. SPARCS model parameters can be interpreted in terms of channel characteristics: mean depth, asymmetry, bar convexity, and flatness of the bed. The model performed well for the XS included in the database, which was biased toward straight, uniform channels conducive to operational streamflow measurement. Neither model parameters nor accuracy were dependent on discharge. We also assessed the potential of SPARCS to fill in measurement gaps and found that although the model can help, the accuracy of inferred depths decreased as the observable fraction of the channel decreased. An important limitation of SPARCS is that mid-channel bars or multi-threaded morphologies cannot be produced. Graphical tools can help visualize how model parameters affect simulated river forms. SPARCS could facilitate satellite-based discharge estimation by providing prior information on channel shape.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR041177","usgsCitation":"Legleiter, C.J., and Kinzel, P.J., 2026, Evaluating approximations of river channel shape using a national cross section database: Water Resources Research, v. 62, no. 5, e2025WR041177, 35 p., https://doi.org/10.1029/2025WR041177.","productDescription":"e2025WR041177, 35 p.","ipdsId":"IP-179311","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":504157,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr041177","text":"Publisher Index Page"},{"id":503881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-04-30","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":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":960758,"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":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":960759,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275718,"text":"70275718 - 2026 - Changes in suspended sediment concentration along tidal rivers of the Chesapeake Bay: The tidal freshwater “sediment shadow”","interactions":[],"lastModifiedDate":"2026-05-15T13:15:07.488526","indexId":"70275718","displayToPublicDate":"2026-04-30T08:34:23","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Changes in suspended sediment concentration along tidal rivers of the Chesapeake Bay: The tidal freshwater “sediment shadow”","docAbstract":"Transport of terrigenic sediment from nontidal watersheds into estuaries has important impacts on coastal habitat quality, pollutant transport, and resilience to sea-level rise. However, relatively little is known about changes in suspended sediment as nontidal rivers encounter tide, transition into tidal rivers through the tidal freshwater zone (TFZ), and enter saline portions of estuaries. The goal of this paper is to identify spatial and temporal patterns in suspended sediment concentration (SS) changes across tidal and salinity gradients over multiple tidal rivers, using a robust monitoring long-term dataset from the Chesapeake Bay. The multiple TFZs in the Chesapeake Bay consistently have a “sediment shadow” shown by a local spatial minimum in SS compared to upstream nontidal and downgradient oligohaline river reaches. Similarly, freshwater inputs from nontidal rivers have diminishing influence on tidal SS temporal dynamics with distance downstream from the head-of-tide. Therefore, little of the contemporary watershed sediment load is likely transported past the TFZ except during extreme floods when some sediment may be delivered to saline portions of the estuary. Tidal freshwater and brackish portions of the estuary have spatially variable trends in SS over time, both increases and decreases. However, the more saline downstream ends of tidal rivers and the mainstem of the Chesapeake Bay have had a consistent average 25% decline in SS over the past decades. In summary, the presence of “sediment shadows” suggests watershed loads of sediment are currently mostly not transported through the TFZ into the saline estuary, and likely generate sediment deficits for tidal freshwater wetlands.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2026.109931","usgsCitation":"Noe, G.E., Murphy, R., and Krauss, K., 2026, Changes in suspended sediment concentration along tidal rivers of the Chesapeake Bay: The tidal freshwater “sediment shadow”: Estuarine, Coastal and Shelf Science, v. 337, 109931, 14 p., https://doi.org/10.1016/j.ecss.2026.109931.","productDescription":"109931, 14 p.","ipdsId":"IP-178405","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":504324,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504375,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2026.109931","text":"Publisher Index Page"}],"country":"United States","state":"Delaware, Maryland, Pennsylvania","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78,\n 40\n ],\n [\n -75.2,\n 40\n ],\n [\n -75.2,\n 37\n ],\n [\n -78,\n 37\n ],\n [\n -78,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"337","noUsgsAuthors":false,"publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":961522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Rebecca","contributorId":331418,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","affiliations":[{"id":79204,"text":"UMCES","active":true,"usgs":false}],"preferred":false,"id":961523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":210857,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":961524,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70276540,"text":"70276540 - 2026 - Geospatial assessment of agrivoltaic opportunities and land use requirements in Nigeria","interactions":[],"lastModifiedDate":"2026-06-09T15:28:29.137387","indexId":"70276540","displayToPublicDate":"2026-04-30T08:22:48","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}},"title":"Geospatial assessment of agrivoltaic opportunities and land use requirements in Nigeria","docAbstract":"Agrivoltaics, the co-location of agriculture and solar photovoltaic (PV) infrastructure, can deliver co-benefits like reduced plant drought stress and improved yields of shade-tolerant crops, particularly in water-scarce regions. Despite growing global interest, the technical potential and opportunities for agrivoltaics remain poorly understood in many regions facing both food and energy insecurity, such as sub-Saharan Africa. Here we provide a spatial assessment of agrivoltaic opportunities in Nigeria by integrating cropland distribution, solar resources, and water stress. We find that northern states—where cropland is abundant and water-stressed, solar irradiance is high, and electricity access remains low—offer the greatest potential for agrivoltaic systems to generate co-benefits. In contrast, the humid forest regions of southern Nigeria exhibit lower suitability, with sparse cropland and weaker solar potential. We also estimate that northern states could fully meet their projected 2050 solar energy targets by allocating less than 1% of existing cropland to agrivoltaics, whereas southern states would require much larger fractions (5.9–18.9%). Notably, in the northern state of Kano, the country’s most populous, allocating 0.6–1.8% of cropland would be sufficient to meet mid-century solar energy projections. Collectively, our findings highlight priority regions where agrivoltaics could most effectively strengthen food-energy security linkages and support equitable energy transition in Nigeria.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-026-48997-z","usgsCitation":"Babarinde, I.E., Salisu, E.B., Benavides, J.A., Pereira, E., Grodsky, S.M., and Almeida, R.M., 2026, Geospatial assessment of agrivoltaic opportunities and land use requirements in Nigeria: Scientific Reports, 20 p., https://doi.org/10.1038/s41598-026-48997-z.","productDescription":"20 p.","ipdsId":"IP-181674","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":505473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-026-48997-z","text":"Publisher Index Page"},{"id":505235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nigeria","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 2.851264465908571,\n 14.589762570167153\n ],\n [\n 14.109453690686877,\n 14.529210782534122\n ],\n [\n 14.092146779897575,\n 4.185711419301953\n ],\n [\n 3.303202659892804,\n 4.141705696303603\n ],\n [\n 2.851264465908571,\n 14.589762570167153\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Babarinde, Ifeoluwa E.","contributorId":371979,"corporation":false,"usgs":false,"family":"Babarinde","given":"Ifeoluwa","middleInitial":"E.","affiliations":[{"id":88242,"text":"The University of Texas Rio Grande Valley","active":true,"usgs":false}],"preferred":false,"id":962629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Salisu, E. Bashir","contributorId":371980,"corporation":false,"usgs":false,"family":"Salisu","given":"E.","middleInitial":"Bashir","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":962630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":962631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pereira, Engil","contributorId":371981,"corporation":false,"usgs":false,"family":"Pereira","given":"Engil","affiliations":[{"id":88242,"text":"The University of Texas Rio Grande Valley","active":true,"usgs":false}],"preferred":false,"id":962632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":962633,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Almeida, Rafael M.","contributorId":371982,"corporation":false,"usgs":false,"family":"Almeida","given":"Rafael","middleInitial":"M.","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":962634,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276517,"text":"70276517 - 2026 - Amphibian use of recently created wetlands in the Palouse region of northern Idaho, USA","interactions":[],"lastModifiedDate":"2026-06-10T15:37:35.231825","indexId":"70276517","displayToPublicDate":"2026-04-30T08:18:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Amphibian use of recently created wetlands in the Palouse region of northern Idaho, USA","docAbstract":"Human development has resulted in the loss of natural wetlands in many regions and thus has led to amphibian habitat loss. Human-constructed wetlands are increasingly prevalent, particularly in human-modified landscapes, and can be used as breeding habitats by amphibians. It is important to identify factors influencing amphibian use of constructed wetlands to guide future wetland creation efforts. We examined wetland- and landscape-level factors influencing the presence and reproduction of native amphibians in 33 recently created (2–11 yold) wetlands within an urban-agricultural interface in northern Idaho, USA. We recorded wetland age, perimeter vegetation, and percentage of surrounding land cover as covariates and modeled detection and occupancy using Bayesian Multi-scale Occupancy Models for the three species we detected: Sierran Treefrog (Pseudacris sierra), Colombia Spotted Frog (Rana luteiventris), and Long-Toed Salamander (Ambystoma macrodactylum). Our results indicate that these three species can rapidly colonize recently created wetlands in an urban-agricultural interface. The effects of wetland- and landscape-scale features varied across species. Colombia Spotted Frog occupancy was greatest in older wetlands with some evidence for a negative association with more urbanized landscapes. Long Toed Salamanders and Sierran Treefrogs were not associated with wetland age but also showed some evidence of negative associations with urbanization. Long-Toed Salamanders showed evidence of using less vegetated wetlands while Sierran Treefrogs showed evidence of using more vegetated wetlands. Our results are consistent with multiple studies showing that wetlands in human-modified landscapes can provide amphibian breeding habitat, and they suggest that including vegetation plantings within recently created wetlands may promote amphibian colonization. Anecdotal observations also indicate that designing wetlands with sufficient hydroperiod for metamorphoses may be important for ensuring that newly created wetlands benefit amphibian populations.
","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Grinder, R.M., Peterson, C.R., Garton, E.O., and Bauder, J.M., 2026, Amphibian use of recently created wetlands in the Palouse region of northern Idaho, USA: Herpetological Conservation and Biology, v. 21, no. 1, p. 85-100.","productDescription":"16 p.","startPage":"85","endPage":"100","ipdsId":"IP-149800","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":505272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Palouse region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.0333635,\n 47.0733056\n ],\n [\n -116.88138315406218,\n 47.0733056\n ],\n [\n -116.88138315406218,\n 46.48406729271977\n ],\n [\n -117.0333635,\n 46.48406729271977\n ],\n [\n -117.0333635,\n 47.0733056\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grinder, Rolllie M.","contributorId":371897,"corporation":false,"usgs":false,"family":"Grinder","given":"Rolllie","middleInitial":"M.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":962561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Charles R.","contributorId":371898,"corporation":false,"usgs":false,"family":"Peterson","given":"Charles","middleInitial":"R.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":962562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garton, Edward O.","contributorId":371899,"corporation":false,"usgs":false,"family":"Garton","given":"Edward","middleInitial":"O.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":962563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":962564,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275365,"text":"70275365 - 2026 - Socio-ecological impacts of the 2025 Los Angeles urban fires on communities, neighborhoods, and homes","interactions":[],"lastModifiedDate":"2026-05-01T14:59:05.281901","indexId":"70275365","displayToPublicDate":"2026-04-30T07:52:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Socio-ecological impacts of the 2025 Los Angeles urban fires on communities, neighborhoods, and homes","docAbstract":"Human settlements are increasingly being impacted by urban fires initiated by wildfires. Metrics such as area burned and number of structures destroyed are important, but research often overlooks the socio-ecological complexity of urban fires. We study the impacts of the 2025 Los Angeles fires on two communities at the neighborhood and residential parcel scales. Geospatial analyses and econometric modeling explore the relationships between urban morphology, socio-demographic factors, and home destruction. Here we show that socio-ecological characteristics and scale are key in parsing the dynamics of urban fires. Also, new socio-demographic populations are being affected and urban morphology metrics are more important than vegetation cover. Despite parallels with 19th and early 20th century urban conflagrations, understanding these re-emerging urban fires requires transdisciplinary approaches and unique metrics. Investigating the socio-ecological scales and dynamics of urban fires provides a valuable next step towards understanding and adapting to the risk associated with these disasters.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41467-026-71376-1","usgsCitation":"Norlen, C.A., Sharma, S., and Escobedo, F.J., 2026, Socio-ecological impacts of the 2025 Los Angeles urban fires on communities, neighborhoods, and homes: Nature Communications, v. 17, 3941, 12 p., https://doi.org/10.1038/s41467-026-71376-1.","productDescription":"3941, 12 p.","ipdsId":"IP-180700","costCenters":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"links":[{"id":504163,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-026-71376-1","text":"Publisher Index Page"},{"id":503888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","otherGeospatial":"Eaton, Palisades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.43544529821688,\n 34.248989931303086\n ],\n [\n -118.43544529821688,\n 33.55012105378101\n ],\n [\n -117.27431517058712,\n 33.55012105378101\n ],\n [\n -117.27431517058712,\n 34.248989931303086\n ],\n [\n -118.43544529821688,\n 34.248989931303086\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Norlen, Carl August 0000-0003-1363-9930","orcid":"https://orcid.org/0000-0003-1363-9930","contributorId":370758,"corporation":false,"usgs":true,"family":"Norlen","given":"Carl","middleInitial":"August","affiliations":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":960735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharma, Sadikshya","contributorId":370759,"corporation":false,"usgs":false,"family":"Sharma","given":"Sadikshya","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":960736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Escobedo, Francisco J.","contributorId":370760,"corporation":false,"usgs":false,"family":"Escobedo","given":"Francisco","middleInitial":"J.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":960737,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70276528,"text":"70276528 - 2026 - Habitat and landscape variables affecting Corbicula fluminea presence in the upper Savannah River drainage (USA)","interactions":[],"lastModifiedDate":"2026-06-10T13:57:10.114552","indexId":"70276528","displayToPublicDate":"2026-04-30T07:50:53","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}},"displayTitle":"Habitat and landscape variables affecting Corbicula fluminea presence in the upper Savannah River drainage (USA)","title":"Habitat and landscape variables affecting Corbicula fluminea presence in the upper Savannah River drainage (USA)","docAbstract":"Aquatic invasive species (AIS) are amongst the greatest threats to native aquatic biodiversity. These introduced species often thrive in human-altered environments and spread through human-mediated pathways to invade new watersheds. Corbicula fluminea is a freshwater bivalve native to southeastern Asia first introduced in North America in Seattle, WA, in 1938 and has spread to nearly every major watershed in the southeastern United States. In the present study, we use an information theoretic framework to compare landscape and stream habitat variables associated with C. fluminea presence across five HUC10 watersheds in the upper Savannah River basin of South Carolina and Georgia, USA. Predictive models included landscape-level and site-level habitat variables associated with agricultural, developed, and forested landscapes. Models with variables associated with forested and developed landscapes were the top performing models based on AICc values. In top performing models C. fluminea presence was positively correlated with increased stream width, but negatively correlated with substrates dominated by cobble. Lower performing models highlight positive correlations with the presence of upstream reservoirs and increased developed landscape surrounding the site. Identification of habitat and landscape correlates with invasive species presence may lead to more efficient introduction monitoring efforts for conservation managers.
","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/ai.2026.21.2.189571","usgsCitation":"Schumber, Z.M., Baker, M.A., Irwin, B., Hamel, M.J., and Hazelton, P.D., 2026, Habitat and landscape variables affecting Corbicula fluminea presence in the upper Savannah River drainage (USA): Aquatic Invasions, v. 21, no. 2, p. 111-126, https://doi.org/10.3391/ai.2026.21.2.189571.","productDescription":"16 p.","startPage":"111","endPage":"126","ipdsId":"IP-176978","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":505492,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/ai.2026.21.2.189571","text":"Publisher Index Page"},{"id":505231,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","otherGeospatial":"upper Savannah River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.92148068402683,\n 35.4052177436574\n ],\n [\n -82.53167062328764,\n 35.32859575622739\n ],\n [\n -82.66075283407501,\n 34.143783816142786\n ],\n [\n -84.02919228413968,\n 34.222239597486976\n ],\n [\n -83.92148068402683,\n 35.4052177436574\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Schumber, Zachary M.","contributorId":371930,"corporation":false,"usgs":false,"family":"Schumber","given":"Zachary","middleInitial":"M.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":962588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Michael A.","contributorId":371931,"corporation":false,"usgs":false,"family":"Baker","given":"Michael","middleInitial":"A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":962589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, Brian J. 0000-0002-0666-2641","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":280043,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":962590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hamel, Martin J.","contributorId":371939,"corporation":false,"usgs":false,"family":"Hamel","given":"Martin","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":962591,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hazelton, Peter D.","contributorId":371940,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter","middleInitial":"D.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":962592,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275267,"text":"sir20265132 - 2026 - Hydrologic investigation of water level fluctuations at Moreau Lake, Moreau Lake State Park, town of Moreau, New York","interactions":[],"lastModifiedDate":"2026-05-01T16:44:17.159946","indexId":"sir20265132","displayToPublicDate":"2026-04-29T11:00:00","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":"2026-5132","displayTitle":"Hydrologic Investigation of Water Level Fluctuations at Moreau Lake, Moreau Lake State Park, Town of Moreau, New York","title":"Hydrologic investigation of water level fluctuations at Moreau Lake, Moreau Lake State Park, town of Moreau, New York","docAbstract":"The causes of water level fluctuations at Moreau Lake, within Moreau Lake State Park in the town of Moreau, New York, were investigated from 2016 to 2021 after lake water levels dropped between 2015 and 2016, raising concerns about the loss of a shallow swimming area at the park beach. Annual variation in precipitation records from the area did not account for the lake water level decline. Two possible causes for the low lake water levels were investigated: the increase in groundwater withdrawals from new residential development since about 2000 and seasonal changes (nongrowing and growing seasons) in precipitation.
Investigation of the potential effects of nearby groundwater withdrawals required the compilation and collection of well-log data, seismic surveys, and measurements of lake and groundwater levels, field chemical parameters, and water isotopes to define the hydrogeologic system and to estimate water use. The net result of this work was the determination that Moreau Lake is a “flow though” lake with no surface water outlet; groundwater enters the lake on the upgradient side and exits through the downgradient side, however, groundwater does not flow southward from the lake toward nearby groundwater withdrawals from the semiconfined aquifer, and thus groundwater withdrawals were unlikely to have an effect on lake water levels.
Investigation of the historic precipitation records during nongrowing (November through April) and growing (May through October) indicated that (1) nongrowing season precipitation from 2011–12 to 2015–16 was more deficient than any similar period during the past 78 years and (2) since about 2000, nongrowing seasons have been drier overall and growing seasons have been considerably wetter. Initiation of lake water level monitoring in 2016 provided an opportunity to compare seasonal precipitation with seasonal lake water level changes. Nongrowing season lake water levels are very sensitive to precipitation, such that high precipitation (40 percent above the seasonal median) resulted in a 5-foot rise in lake water level. In contrast, the growing season lake water levels are sensitive to dry conditions; for example, deficient rainfall (about 6 percent below the seasonal median) resulted in a decline of lake water levels of about 3.5 feet. However, lake water levels are insensitive to high growing season rainfall inputs (about 10 to 47 percent above the seasonal median); lake water levels consistently declined about by 0.8 feet above this range of seasonal excessive precipitation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265132","collaboration":"Prepared in cooperation with New York State Department of Parks, Recreation and Historic Preservation","usgsCitation":"Heisig, P.M., 2026, Hydrologic investigation of water level fluctuations at Moreau Lake, Moreau Lake State Park, town of Moreau, New York: U.S. Geological Survey Scientific Investigations Report 2026–5132, 55 p., https://doi.org/10.3133/sir20265132.","productDescription":"Report: viii, 55 p., 3 Data Releases","numberOfPages":"55","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-148237","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":503535,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5132/coverthb.jpg"},{"id":503899,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119387.htm","linkFileType":{"id":5,"text":"html"}},{"id":503541,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R49VRO","text":"USGS data release","linkHelpText":"Horizontal-to-vertical spectral ratio (HVSR) soundings and depth-to-bedrock data for the Moreau Lake area, town of Moreau, N.Y."},{"id":503540,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K0LSHJ","text":"USGS data release","linkHelpText":"Hydrologic data from the Moreau Lake area, town of Moreau, N.Y."},{"id":503539,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JPZ1R5","text":"USGS data release","linkHelpText":"Geospatial data from the Moreau Lake area, town of Moreau, N.Y."},{"id":503538,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5132/images"},{"id":503537,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5132/sir20265132.XML","description":"SIR 2026-5132 XML"},{"id":503536,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265132/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5132 HTML"},{"id":503534,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5132/sir20265132.pdf","text":"Report","size":"36.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5132 PDF"}],"country":"United States","state":"New York","otherGeospatial":"Moreau Lake, Moreau Lake State Park, Town of Moreau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.7367112856191,\n 43.25254327180468\n ],\n [\n -73.67250609715373,\n 43.25254327180468\n ],\n [\n -73.67250609715373,\n 43.20548515764352\n ],\n [\n -73.7367112856191,\n 43.20548515764352\n ],\n [\n -73.7367112856191,\n 43.25254327180468\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180
Understanding the distributions of rare species is necessary to guide monitoring and inform species recovery efforts. The rusty patched bumble bee (RPBB; Bombus affinis, Cresson) is an endangered species with an extant, known distribution centered around urban areas of the Midwestern United States. We tested a novel approach for finding undocumented RPBBs outside of urban centers and estimated the species occurrence at two scales that are relevant to management. We confirmed presence of RPBBs at 54% of the sampled 100 km2 grid cells where the species was previously undocumented, expanding the species’ known distribution by 5700 km2. After accounting for imperfect detection, our occupancy model estimated the number of occupied grid cells was 67 of 105 sampled grids, suggesting our methods were effective for finding undiscovered RPBB sites. Occupancy within 100 km2 grids was positively related to the number of occupied neighboring units but was not related to the area of developed land within 100km2 grid cells or smaller subunits (i.e. 3.14 ha patches or roadside transects). We highlight the utility of our approach for guiding future survey efforts by identifying an additional 145 grid cells where the occupancy status of RPBB is unknown but we predict a relatively high likelihood of RPBB occurrence. Our approach can be extended to find undiscovered RPBB sites in other areas and applied to other bee species where occurrence information is lacking outside of their core distribution.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-026-46861-8","usgsCitation":"Otto, C., Schrage, A.C., Lothspeich, A., Bailey, L., Smith, T., Planman, R., Cardin, J., Ellis, K.S., Dennis, B., and Grundel, R., 2026, A hierarchical approach for finding undiscovered populations of an endangered bumble bee: Scientific Reports, v. 16, 13759, 12 p., https://doi.org/10.1038/s41598-026-46861-8.","productDescription":"13759, 12 p.","ipdsId":"IP-181147","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":504215,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-026-46861-8","text":"Publisher Index Page"},{"id":504089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa. Minnesota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.08828853395633,\n 46.763583773695586\n ],\n [\n -87.05663513249607,\n 46.763583773695586\n ],\n [\n -87.05663513249607,\n 41.46394878090919\n ],\n [\n -95.08828853395633,\n 41.46394878090919\n ],\n [\n -95.08828853395633,\n 46.763583773695586\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2026-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schrage, Alma Christa 0000-0002-7388-6979","orcid":"https://orcid.org/0000-0002-7388-6979","contributorId":363227,"corporation":false,"usgs":true,"family":"Schrage","given":"Alma","middleInitial":"Christa","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lothspeich, Audrey Claire 0000-0002-5460-6142","orcid":"https://orcid.org/0000-0002-5460-6142","contributorId":355935,"corporation":false,"usgs":true,"family":"Lothspeich","given":"Audrey Claire","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, Larissa L.","contributorId":337882,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":961300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Tamara","contributorId":351890,"corporation":false,"usgs":false,"family":"Smith","given":"Tamara","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":961301,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Planman, Robert","contributorId":371218,"corporation":false,"usgs":false,"family":"Planman","given":"Robert","affiliations":[{"id":88106,"text":"WI Bee3","active":true,"usgs":false}],"preferred":false,"id":961302,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cardin, Judy","contributorId":371244,"corporation":false,"usgs":false,"family":"Cardin","given":"Judy","affiliations":[],"preferred":false,"id":961351,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ellis, Kristen S. 0000-0003-2759-3670","orcid":"https://orcid.org/0000-0003-2759-3670","contributorId":251877,"corporation":false,"usgs":true,"family":"Ellis","given":"Kristen","email":"","middleInitial":"S.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961303,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dennis, Bethany","contributorId":371245,"corporation":false,"usgs":false,"family":"Dennis","given":"Bethany","affiliations":[],"preferred":false,"id":961352,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grundel, Ralph 0000-0002-2949-7087 rgrundel@usgs.gov","orcid":"https://orcid.org/0000-0002-2949-7087","contributorId":2444,"corporation":false,"usgs":true,"family":"Grundel","given":"Ralph","email":"rgrundel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961304,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70276258,"text":"70276258 - 2026 - Aligning legacy NLCD land cover maps based on Landsat Collection 1 to Collection 2","interactions":[],"lastModifiedDate":"2026-05-21T14:40:45.36203","indexId":"70276258","displayToPublicDate":"2026-04-29T09:37:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"Aligning legacy NLCD land cover maps based on Landsat Collection 1 to Collection 2","docAbstract":"The transition from Landsat Collection 1 to Collection 2 introduced significant improvements in radiometric and geometric accuracy. However, the improvements cause location misalignment between the existing Landsat-derived land cover products and the new collection. The legacy National Land Cover Database (NLCD) has been used as a cornerstone land cover source for a variety of research. Therefore, a method aligning the legacy NLCD product to Collection 2 is required to ensure its continuity and consistency of service. We developed a strategy to not only align legacy NLCD to match new Collection 2 geometric locations but also improve land cover labeling in the region that was affected by the geometric shifts. The method identifies boundary pixels of homogeneous land cover patches as potential problem areas that are likely impacted by geometric shifts and generates candidate labels from 3 × 3 window with the target pixel at the center and segmentation-derived majority label. Standard phenology patterns of each candidate land cover type are established based on the random samples except boundary pixels within a 1000-pixels × 1000-pixels processing window region. The phenological distance to each standard land cover type pattern is calculated through a penalty dynamic time warping (DTW) method for each target pixel in the boundary region. Finally, the method determines the most suitable label based on the phenological distance from the candidate labels. Both visual and accuracy assessment results demonstrate that the alignment preserves the overall land cover patterns in the original legacy NLCD product while reducing the spatial discrepancies between the Landsat Collection 2 and land cover. In addition, it enhances the accuracy of land cover labeling of boundary pixels. The overall accuracy (OA) was increased by 7% in the land cover boundary regions after alignment. The quality and confusion matrix comparison between the alignment results and the original legacy NLCD confirm the reliability of the method. Our alignment method has the potential to serve as a framework for aligning other Landsat-derived land cover products to future collections.
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Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5129","displayTitle":"Shallow Hydrogeologic Framework of the Tully Valley Mudboil Area, Onondaga County, New York","title":"Shallow hydrogeologic framework of the Tully Valley mudboil area, Onondaga County, New York","docAbstract":"Mudboils have been documented in the Tully Valley in southern Onondaga County, New York, since the late 1890s. Sediment-laden water from the mudboils flows into Onondaga Creek, which empties into Onondaga Lake at Syracuse 15 miles to the north. Turbidity from the mudboils has degraded the water quality of Onondaga Creek despite a series of mitigation efforts that began in the early 1990s. Turbidity mitigation actions presently (2025) being considered include creek relocation and offline sediment settling. In support of these proposed actions during 2021–23, the U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, U.S. Environmental Protection Agency, Onondaga Nation, Onondaga Environmental Institute, and Central New York Regional Planning and Development Board, collected and analyzed geologic, hydrologic, geophysical, and geotechnical data to characterize the shallow hydrogeology along four proposed creek-relocation paths and in the proposed offline settling basin area.
The investigation indicated that the four proposed creek-relocation paths, two east of Onondaga Creek and two west of Onondaga Creek, are underlain by sediments including muck, alluvium, mudboil deposits, alluvial-fan sand and gravel, and lacustrine fines. The proposed excavations would penetrate partially to fully saturated conditions: generally, the water table is shallow near the creek and deep on the alluvial fans. The shallowest excavation, about 5 feet below land surface, would be near the creek and primarily in alluvium, and the deepest excavation, as much as 30 feet below land surface, would be in the alluvial-fan deposits. Brackish waters would be penetrated by proposed channel excavations on the eastern side of Onondaga Creek in an area downgradient from a potentially leaking historical salt-exploration borehole and near the main mudboil area. Excavation in these areas likely would provide a continuous source of brackish groundwater to the relocated creek. Proposed channel excavations of muck, soft to very soft lacustrine fines, and mudboil-type sediments in mudboil and suspected mudboil areas would pose an excavation and slope stability challenge and would have the greatest potential to create new mudboils. Proposed channel excavations below the water table on the Rattlesnake Gulf and Rainbow Creek alluvial fans would intercept groundwater and make the constructed streambank susceptible to seepage-induced slope instability. The substantial water-level fluctuation in the sediments of both alluvial fans would aggravate the stability condition. In addition, excavation on the Rattlesnake Gulf alluvial fan would have the potential to affect water-supply springs at the toe of the fan.
The proposed offline settling basin area is in the northern part of the Rattlesnake Gulf alluvial fan. Natural and man-made diversions of Rattlesnake Gulf have resulted in saturated conditions in the general area of the proposed basin. The proposed offline settling basin would be excavated in, and berms would be constructed on, alluvial-fan deposits and lacustrine fines. In the proposed basin area, the alluvial deposits overlying the lacustrine fines are less than 10 feet thick. Excavation, berm construction, and loading of the saturated, soft to very soft lacustrine fines may be problematic and require soil strengthening.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265129","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation, U.S. Environmental Protection Agency, Onondaga Nation, Onondaga Environmental Institute, and Central New York Regional Planning and Development Board","usgsCitation":"Williams, J.H., Terry, N.C., Kappel, W.M., Heisig, P.M., Glas, R.L., and Woda, J.C., 2026, Shallow hydrogeologic framework of the Tully Valley mudboil area, Onondaga County, New York: U.S. Geological Survey Scientific Investigations Report 2026–5129, 58 p., https://doi.org/10.3133/sir20265129.","productDescription":"Report: ix, 58 p.; Data Release","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-160204","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":503898,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119386.htm","linkFileType":{"id":5,"text":"html"}},{"id":502792,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5129/images"},{"id":502793,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P149P35X","text":"USGS data release","linkHelpText":"Surface-geophysical, geotechnical, hydraulic-slug test, specific conductance, and geospatial data for shallow hydrogeologic investigations of the Tully Valley mudboil area, Onondaga County, New York"},{"id":502791,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5129/sir20265129.XML","description":"SIR 2026-5129 XML"},{"id":502790,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265129/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5129 HTML"},{"id":502789,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5129/coverthb2.jpg"},{"id":502786,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5129/sir20265129.pdf","text":"Report","size":"21.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5129 PDF"}],"country":"United States","state":"New York","county":"Onondaga County","otherGeospatial":"Tully Valley Mudboil Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.30484467796983,\n 43.13842576064047\n ],\n [\n -76.30484467796983,\n 42.78187367077939\n ],\n [\n -76.00789969132674,\n 42.78187367077939\n ],\n [\n -76.00789969132674,\n 43.13842576064047\n ],\n [\n -76.30484467796983,\n 43.13842576064047\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
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Laminated soil carbonate rinds are a Quaternary paleoclimate archive whose isotope composition is linked to soil formation conditions. At Rio Mesa, Utah (USA), we investigated the fidelity of rind records in a river terrace setting by determining the seasonal timing of rind formation and testing for inter-record replication. We infer soil carbonate formed in the spring season, contrasting with our prior inference of summer formation at Teasdale, Utah, ≈200 km distant. This apparent discrepancy occurs because of differences in the timing of the largest annual infiltration (spring vs. summer). At Rio Mesa, modern soil data show that soil carbonate δ13C would have high values (−2 to 2‰ VPDB) regardless of seasonal activity of C3 versus C4 plants because respiration rate is a strong control. We accordingly suggest reassessment of published records interpreting soil carbonate δ13C only via C3 versus C4 plant abundance. Three rind δ13C and δ18O records generally replicated. Intriguingly, rind δ13C may inversely correlate with summer insolation, evidence for global-scale influence on soils. Rind δ18O is not as clearly correlated with published western USA paleoclimate records, potentially due to regional differences in climate and because rinds record soil-specific processes. Our results support the fidelity of the soil carbonate rind paleoarchive and suggest that because rind formation seasonality is intimately tied to infiltration seasonality, spatial transects of rind records might be used to delineate boundaries between areas dominated by spring and summer infiltration, permitting reconstruction of the geographic extent of large-scale hydrologic phenomena such as the North American Monsoon.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GC012660","usgsCitation":"Huth, T.E., Cerling, T.E., Marchetti, D.W., Ellwein, A.L., Mahan, S.A., Bowling, D.R., Passey, B.H., Polyak, V.J., and Asmerom, Y., 2026, Springtime formation of laminated soil carbonate rinds and changes in fluvial terrace soils on orbital timescales at Rio Mesa, Utah, USA: Geochemistry, Geophysics, Geosystems, v. 27, no. 5, e2025GC012660, 20 p., https://doi.org/10.1029/2025GC012660.","productDescription":"e2025GC012660, 20 p.","ipdsId":"IP-179258","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":504152,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gc012660","text":"Publisher Index Page"},{"id":504055,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13EMTYG","text":"USGS data release","linkHelpText":"Luminescence data for: Springtime Formation of Laminated Soil Carbonate Rinds and Changes in Fluvial Terrace Soils on Orbital Timescales at Rio Mesa, Utah, USA"},{"id":503670,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Rio Mesa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.19947650382221,\n 38.81144940086827\n ],\n [\n -109.15369813510924,\n 38.81144940086827\n ],\n [\n -109.15369813510924,\n 38.77688465318985\n ],\n [\n -109.19947650382221,\n 38.77688465318985\n ],\n [\n -109.19947650382221,\n 38.81144940086827\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Huth, Tyler E. 0000-0002-3436-7009","orcid":"https://orcid.org/0000-0002-3436-7009","contributorId":370676,"corporation":false,"usgs":false,"family":"Huth","given":"Tyler","middleInitial":"E.","affiliations":[{"id":37383,"text":"Washington University","active":true,"usgs":false}],"preferred":false,"id":960678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cerling, Thure E.","contributorId":370677,"corporation":false,"usgs":false,"family":"Cerling","given":"Thure","middleInitial":"E.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":960679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marchetti, David W.","contributorId":370678,"corporation":false,"usgs":false,"family":"Marchetti","given":"David","middleInitial":"W.","affiliations":[{"id":6693,"text":"Western State Colorado 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Yemane","contributorId":295388,"corporation":false,"usgs":false,"family":"Asmerom","given":"Yemane","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":960686,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70275363,"text":"70275363 - 2026 - Modeling chronic wasting disease transmission risk in mule deer related to habitat characteristics","interactions":[],"lastModifiedDate":"2026-05-01T13:56:46.724745","indexId":"70275363","displayToPublicDate":"2026-04-29T08:52:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Modeling chronic wasting disease transmission risk in mule deer related to habitat characteristics","docAbstract":"Chronic wasting disease (CWD) is a prion disease of cervids that spreads to uninfected individuals through direct transmission (contact with infected individuals), vertical transmission (from mother to offspring), or indirect transmission (exposure to contaminated environments). The risk of indirect transmission is unevenly distributed on the landscape, and risk levels are expected to be controlled by patterns of habitat use by infected and uninfected individuals as well as environmental properties that alter the length of time prions remain infectious and available for uptake. Despite evidence from controlled or laboratory studies identifying environmental properties likely to affect patterns of CWD prion locations on the landscape, it remains difficult to connect mechanisms to realized increased or decreased risk of disease transmission, and few studies have attempted to detect patterns of different CWD risk in different environments. Using data from GPS-collared mule deer in Wyoming that were CWD-tested annually, we constructed models predicting annual probability of disease transmission contingent on environmental properties extracted from GPS use points. We compared models that emphasized different pathways of disease transmission by including or excluding sets of covariates that described deer density, habitat selection, and covariates expected to affect prion persistence in the environment. Results indicated that key habitat characteristics often selected by mule deer, such as proximity to secondary roads, were also associated with higher risk of testing positive for CWD, which supports the hypothesis that disease risk was correlated to patterns of habitat use by deer. We also found increased risk associated with spatial properties that were not selected-for by deer, such as areas where topography collects moisture, suggesting that prion retention mechanisms also play a role in risk. Incorporating these spatially-varying risk factors into our understanding of CWD transmission and outbreak progression can support managers in designing data collection and disease management strategies.","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0346077","usgsCitation":"Christensen, E.M., Kleist, N.J., Edmunds, D.R., Heinrichs, J., Saher, D., Whipple, A.L., DeVivo, M., and Aldridge, C.L., 2026, Modeling chronic wasting disease transmission risk in mule deer related to habitat characteristics: PLoS ONE, v. 21, no. 4, e0346077, 24 p., https://doi.org/10.1371/journal.pone.0346077.","productDescription":"e0346077, 24 p.","ipdsId":"IP-179327","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":504156,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0346077","text":"Publisher Index Page"},{"id":504056,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1K3QFC8","text":"USGS data release","linkHelpText":"Raster maps of relative risk of chronic wasting disease transmission based on environmental covariates for the South Converse Mule Deer Herd, Converse County, Wyoming"},{"id":503880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.91552517753678,\n 43.139560980857084\n ],\n [\n -104.18803524946959,\n 43.139560980857084\n ],\n [\n -104.18803524946959,\n 41.60389872904699\n ],\n [\n -106.91552517753678,\n 41.60389872904699\n ],\n [\n -106.91552517753678,\n 43.139560980857084\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Christensen, Erica Meta 0000-0002-5635-2502","orcid":"https://orcid.org/0000-0002-5635-2502","contributorId":370740,"corporation":false,"usgs":true,"family":"Christensen","given":"Erica","middleInitial":"Meta","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleist, Nathan J. 0000-0002-2468-4318","orcid":"https://orcid.org/0000-0002-2468-4318","contributorId":260598,"corporation":false,"usgs":true,"family":"Kleist","given":"Nathan","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":240888,"corporation":false,"usgs":false,"family":"Heinrichs","given":"Julie A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":960711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saher, D. Joanne 0000-0002-2452-2570","orcid":"https://orcid.org/0000-0002-2452-2570","contributorId":288928,"corporation":false,"usgs":false,"family":"Saher","given":"D. 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Leveraging >55,000 reported landslides from across the United States (U.S.), we used circular statistics to quantify landslide seasonality in 67 National Weather Service County Warning Areas (CWAs). We found regional differences in landslide season timing and duration, with transitions between domains variably corresponding to climate class or river basin. We assessed differences in seasonality by movement type for slides, flows, and falls, detecting apparent, but uncertain, differences between slide and fall seasonalities in 27 of 35 (77%) of CWAs with both types reported. In the Pacific Northwest, where long records exist, we found a credible shift toward a later mean landslide season in western Washington from 1990 to 2020, but no trend in western Oregon. Our results can provide emergency planners a resource to assess seasonal landslide probability nationwide.
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Gulf coast","docAbstract":"Pervasive marine pollution can have devastating effects on ocean health. Polychlorinated Biphenyls (PCB), Polycyclic Aromatic Hydrocarbons (PAH), and Organochlorine Pesticides (OCP) are of particular concern given their high level of toxicity and carcinogenicity. These compounds originate from anthropogenic activity, therefore are often ubiquitous in coastal environments close to human sources. Marine turtles in coastal Florida (USA) are affected by fibropapillomatosis, a tumor-causing panzootic with highly debilitating symptoms. Despite repeated associations between fibropapillomatosis occurrence and carcinogenic pollution, the ecotoxicological status of high disease areas in the Florida Gulf has been unknown. Our study deployed passive sampling devices along a structured inshore-to-offshore coastal grid to generate the first comprehensive dataset on the concentration and diversity of oncogenic pollutants in Crystal River, Florida, where juvenile green turtles exhibit a fibropapillomatosis prevalence of 74%. Multiple OCP, PAH, and PCB compounds were detected for a total chemical concentration of 16,086.98 pg/L (Σ OCP 45.51 pg/L + Σ PAH 16,014.53 pg/L + Σ PCB 26.94 pg/L). Density and composition of carcinogenic pollution was found to be significantly lower in offshore green turtle habitats compared to inshore habitats (p=0.02), suggesting multiple potential contamination sources along the coastline. The carcinogenic compounds detected have been shown to have associations with fibropapillomatosis in other parts of the world, as well as having wider ecosystem implications. Our work contributes to the body of knowledge correlating the emerging threat of harmful ocean pollution and marine wildlife diseases.","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2026.119273","usgsCitation":"Constanza, M., Herren, R., Kozuch, M., Cooper, E., Lilyestrom, M., Evans, D., Godfrey, D., Duffy, D., Capua, I., and Carthy, R., 2026, Ecotoxicological profile of a high prevalence marine disease area in Florida's Gulf coast: Marine Pollution Bulletin, v. 230, 119273, 13 p., https://doi.org/10.1016/j.marpolbul.2026.119273.","productDescription":"119273, 13 p.","ipdsId":"IP-183639","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":505253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Citrus County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.79269207067435,\n 28.898151968517226\n ],\n [\n -82.59423219986813,\n 28.898151968517226\n ],\n [\n -82.59423219986813,\n 28.716738638335926\n ],\n [\n -82.79269207067435,\n 28.716738638335926\n ],\n [\n -82.79269207067435,\n 28.898151968517226\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"230","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Constanza, Manes","contributorId":372059,"corporation":false,"usgs":false,"family":"Constanza","given":"Manes","affiliations":[{"id":84497,"text":"The Sea Turtle Conservancy","active":true,"usgs":false}],"preferred":false,"id":962691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herren, Richard M.","contributorId":340561,"corporation":false,"usgs":false,"family":"Herren","given":"Richard M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":962692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kozuch, Marianne","contributorId":316730,"corporation":false,"usgs":false,"family":"Kozuch","given":"Marianne","email":"","affiliations":[],"preferred":false,"id":962693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooper, Evan","contributorId":353754,"corporation":false,"usgs":false,"family":"Cooper","given":"Evan","affiliations":[{"id":84497,"text":"The Sea Turtle Conservancy","active":true,"usgs":false}],"preferred":false,"id":962694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lilyestrom, Margaret","contributorId":353755,"corporation":false,"usgs":false,"family":"Lilyestrom","given":"Margaret","affiliations":[{"id":84497,"text":"The Sea Turtle Conservancy","active":true,"usgs":false}],"preferred":false,"id":962695,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evans, Daniel","contributorId":149654,"corporation":false,"usgs":false,"family":"Evans","given":"Daniel","affiliations":[{"id":54616,"text":"Sea Turtle Conservancy","active":true,"usgs":false}],"preferred":false,"id":962740,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Godfrey, David","contributorId":353756,"corporation":false,"usgs":false,"family":"Godfrey","given":"David","affiliations":[{"id":84497,"text":"The Sea Turtle Conservancy","active":true,"usgs":false}],"preferred":false,"id":962697,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duffy, David","contributorId":112701,"corporation":false,"usgs":true,"family":"Duffy","given":"David","affiliations":[{"id":86810,"text":"Whitney Laboratory for Marine Bioscience, University of Florida, St. Augustine, Florida, USA","active":true,"usgs":false}],"preferred":false,"id":962741,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Capua, Ilaria","contributorId":340573,"corporation":false,"usgs":false,"family":"Capua","given":"Ilaria","email":"","affiliations":[{"id":37540,"text":"John Hopkins University","active":true,"usgs":false}],"preferred":false,"id":962698,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Carthy, Raymond 0000-0001-8978-5083","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":219303,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":962699,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70275669,"text":"70275669 - 2026 - Yellowstone grizzly bear investigations 2024: Annual report of the Interagency Grizzly Bear Study Team","interactions":[],"lastModifiedDate":"2026-05-08T15:04:06.630162","indexId":"70275669","displayToPublicDate":"2026-04-28T09:52:55","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":156,"text":"Annual Report","active":false,"publicationSubtype":{"id":3}},"title":"Yellowstone grizzly bear investigations 2024: Annual report of the Interagency Grizzly Bear Study Team","docAbstract":"No abstract available.
","language":"English","publisher":"Interagency Grizzly Bear Study Team","collaboration":"U.S. Fish and Wildlife Service, U.S. Forest Service, U.S. National Park Service, Montana Fish, Wildlife and Parks, Idaho Department of Fish and Game, Wyoming Game and Fish Department, Eastern Shoshone and Northern Arapaho Tribal Fish and Game Department","usgsCitation":"2026, Yellowstone grizzly bear investigations 2024: Annual report of the Interagency Grizzly Bear Study Team: Annual Report, 166 p.","productDescription":"166 p.","ipdsId":"IP-186437","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":504245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504244,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://igbconline.org/grizzly-bear-study-team/"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.5,\n 46\n ],\n [\n -108.5,\n 46\n ],\n [\n -108.5,\n 42\n ],\n [\n -112.5,\n 42\n ],\n [\n -112.5,\n 46\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Gould, Michael J. 0000-0002-9703-4690","orcid":"https://orcid.org/0000-0002-9703-4690","contributorId":316810,"corporation":false,"usgs":true,"family":"Gould","given":"Michael","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":961384,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":961385,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Karabensh, Bryn 0000-0002-2052-5256","orcid":"https://orcid.org/0000-0002-2052-5256","contributorId":219113,"corporation":false,"usgs":true,"family":"Karabensh","given":"Bryn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":961386,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}} ,{"id":70276576,"text":"70276576 - 2026 - Evidence of ringtail expansion into Idaho, USA","interactions":[],"lastModifiedDate":"2026-06-09T16:40:51.156502","indexId":"70276576","displayToPublicDate":"2026-04-28T09:36:38","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of ringtail expansion into Idaho, USA","docAbstract":"Ringtails (Bassariscus astutus) are widely distributed in the western United States and across much of Mexico, yet due to their relatively low densities and cryptic nature, little is known about their basic ecology even where they are common. Recent public sightings suggest ringtails may have expanded their distribution north into southern Idaho, USA. Currently, ringtails remain unclassified in Idaho thus limiting resources and time available for population monitoring. We attempted to detect these small carnivores in southern Idaho during winter 2023. We deployed 49 camera traps with a combination of lures (i.e., trapping lure, fruit, and orange drink mix) in canyon habitats in southern Idaho near recent ringtail sightings. We detected ringtails nine times on six different camera traps. Although incidental ringtail observations increased in southern Idaho since the early 2000s, our detections were the first to result from a targeted survey effort. Given more than 20 years of incidental sightings and multiple detections during our survey, it appears that ringtails have expanded their range northward into southern Idaho and could be considered a resident species in the state. Further efforts to document reproduction, annual persistence, and an assessment of threats could be next steps if the state wildlife management agency deems it a priority and an appropriate use of resources.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.73477","usgsCitation":"Rebholz, P.F., Lonsinger, R.C., and Ausband, D.E., 2026, Evidence of ringtail expansion into Idaho, USA: Ecology and Evolution, v. 16, no. 5, e73477, 6 p., https://doi.org/10.1002/ece3.73477.","productDescription":"e73477, 6 p.","ipdsId":"IP-185319","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":505483,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.73477","text":"Publisher Index Page"},{"id":505246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.63508565104206,\n 42.58853456373285\n ],\n [\n -114.12509098702158,\n 42.58853456373285\n ],\n [\n -114.12509098702158,\n 42.00485786132106\n ],\n [\n -114.63508565104206,\n 42.00485786132106\n ],\n [\n -114.63508565104206,\n 42.58853456373285\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Rebholz, Peter F.","contributorId":372068,"corporation":false,"usgs":false,"family":"Rebholz","given":"Peter","middleInitial":"F.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":962710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":962711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":962712,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275326,"text":"70275326 - 2026 - Characterizing the long-term (1981–2023) temperature and precipitation dynamics in the Trans-Mountain regions of Kazakhstan, Central Asia","interactions":[],"lastModifiedDate":"2026-04-29T14:27:38.481172","indexId":"70275326","displayToPublicDate":"2026-04-28T09:15:49","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the long-term (1981–2023) temperature and precipitation dynamics in the Trans-Mountain regions of Kazakhstan, Central Asia","docAbstract":"Mountain regions are highly climate-sensitive, yet long-term observational evidence of elevation and seasonal climate dynamics in Central Asia remains limited. This study examines spatiotemporal trends in temperature (Tmean, Tmax, Tmin, and diurnal temperature range [DTR]) and precipitation across Kazakhstan’s transmountain regions using 74 meteorological stations (1981–2023). Data were analyzed using the Mann–Kendall test and Sen’s slope estimator, stratified across six elevation zones from lowlands (<400 m) to high mountains (>1500 m). Results reveal a robust, spatially coherent warming signal across all zones. Annual Tmean increased at a median rate of ~0.30 °C decade−1, peaking at 0.36 °C decade−1 above 1500 m, corresponding to an absolute increase exceeding 1.5 °C. Warming exhibited strong seasonal and diurnal asymmetries. Spring warmed most rapidly, with Tmean increasing >0.60 °C decade−1 (approaching 3 °C total). Winter warming was driven by Tmin increases (up to 0.44 °C decade−1), causing widespread DTR contraction, whereas summer warming was driven by Tmax increases, expanding DTR at higher elevations. Tmin showed the strongest elevation amplification overall. In stark contrast, precipitation trends were weak, spatially heterogeneous, and largely non-significant. Annual changes ranged from −6.63 to +14.35 mm decade−1, with seasonal tendencies indicating modest, non-significant winter/spring wetting and summer drying. Ultimately, the results demonstrate a profound decoupling between strong, elevation-dependent warming and weak precipitation changes. The acute amplification of temperature, particularly during spring and summer at high elevations, has severe implications for snowmelt timing, glacier mass balance, evapotranspiration demand, and long-term water security in Kazakhstan.
","language":"English","publisher":"MDPI","doi":"10.3390/w18091046","usgsCitation":"Duisebek, B., Senay, G.B., Usmanov, T., Kyrgyzbay, K., Sagin, J., Mukanov, Y., Samarkhanov, K., Wang, X., Danierhan, S., and Pan, X., 2026, Characterizing the long-term (1981–2023) temperature and precipitation dynamics in the Trans-Mountain regions of Kazakhstan, Central Asia: Water, v. 18, no. 9, 1046, 26 p., https://doi.org/10.3390/w18091046.","productDescription":"1046, 26 p.","ipdsId":"IP-187896","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":503778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w18091046","text":"Publisher Index 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Baktybek","contributorId":360498,"corporation":false,"usgs":false,"family":"Duisebek","given":"Baktybek","affiliations":[{"id":86016,"text":"Kazakh British Technical University","active":true,"usgs":false}],"preferred":false,"id":960567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":960568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Usmanov, Talgat","contributorId":370600,"corporation":false,"usgs":false,"family":"Usmanov","given":"Talgat","affiliations":[{"id":88048,"text":"Kazakh-British Technical University","active":true,"usgs":false}],"preferred":false,"id":960569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kyrgyzbay, Kudaibergen","contributorId":370601,"corporation":false,"usgs":false,"family":"Kyrgyzbay","given":"Kudaibergen","affiliations":[{"id":88049,"text":"Al-Farabi Kazakh National University, Kazakhstan","active":true,"usgs":false}],"preferred":false,"id":960570,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sagin, Janay","contributorId":360500,"corporation":false,"usgs":false,"family":"Sagin","given":"Janay","affiliations":[{"id":86016,"text":"Kazakh British Technical University","active":true,"usgs":false}],"preferred":false,"id":960571,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mukanov, Yerbolat","contributorId":370602,"corporation":false,"usgs":false,"family":"Mukanov","given":"Yerbolat","affiliations":[{"id":88050,"text":"Gumilyov Eurasian National University, AKazakhstan","active":true,"usgs":false}],"preferred":false,"id":960572,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Samarkhanov, Kanat","contributorId":370637,"corporation":false,"usgs":false,"family":"Samarkhanov","given":"Kanat","affiliations":[],"preferred":false,"id":960603,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Xuejia","contributorId":370638,"corporation":false,"usgs":false,"family":"Wang","given":"Xuejia","affiliations":[],"preferred":false,"id":960573,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Danierhan, Sulitan","contributorId":370603,"corporation":false,"usgs":false,"family":"Danierhan","given":"Sulitan","affiliations":[{"id":88051,"text":"Chinese Academy of Sciences, China","active":true,"usgs":false}],"preferred":false,"id":960574,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pan, Xiaohui","contributorId":370604,"corporation":false,"usgs":false,"family":"Pan","given":"Xiaohui","affiliations":[{"id":88051,"text":"Chinese Academy of Sciences, China","active":true,"usgs":false}],"preferred":false,"id":960575,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70276316,"text":"70276316 - 2026 - Efficiency of down-looking cameras for detecting round goby (Neogobius melanostomus) over varying substrates in laboratory microcosms","interactions":[],"lastModifiedDate":"2026-05-28T14:01:29.786884","indexId":"70276316","displayToPublicDate":"2026-04-28T08:54:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Efficiency of down-looking cameras for detecting round goby (Neogobius melanostomus) over varying substrates in laboratory microcosms","title":"Efficiency of down-looking cameras for detecting round goby (Neogobius melanostomus) over varying substrates in laboratory microcosms","docAbstract":"Since invading the Laurentian Great Lakes in the late 1980s, round goby Neogobius melanostomus have become a dominant benthic prey species, resulting in a need to accurately monitor their population abundance to inform fisheries management. Camera-based methods for assessing round goby abundances have gained popularity, but their efficiencies for detecting round goby are poorly understood. We evaluated the efficiency of down-looking color monocular cameras for detecting round goby presence in microcosm enclosures with known numbers of fish. Detection efficiencies were compared between sand and cobble substrate during daylight hours using a generalized linear mixed-effects model. After accounting for trial effects, enclosure placement, and within-replicate temporal autocorrelation, round goby detection efficiency was 98.6% over sand (95% confidence limit (CL): 98.0–99.0%), and 55.3% over a single layer of cobble substrate (CL: 48.6–61.8%). The large difference in detectability between cobble and sand suggests that camera-based estimates of round goby abundances are likely to be biased low and have lower relative precision in high-structure habitats, but may be largely unbiased in low-structure habitats. Despite much lower relative detection efficiencies of cameras in high-structure cobble habitats, the efficiencies reported here still compare favorably to conventional methods like otter and beam trawling. Our results provide initial quantitative bounds on the possible degree of negative bias in camera-based estimates of round goby abundances in different substrates, but require further field verification across the diversity of substrates, interstitial infilling, and other structural attributes of habitat found in the Great Lakes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2026.102823","usgsCitation":"Yeager, N., Brenden, T.O., Esselman, P., Schulz, K.A., and Tilley, A.T., 2026, Efficiency of down-looking cameras for detecting round goby (Neogobius melanostomus) over varying substrates in laboratory microcosms: Journal of Great Lakes Research, https://doi.org/10.1016/j.jglr.2026.102823.","ipdsId":"IP-162638","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":504771,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Detroit River, Lake St. Clair","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.9490270748309,\n 42.368530023889406\n ],\n [\n -83.0108875525566,\n 42.368530023889406\n ],\n [\n -83.0108875525566,\n 42.339438861020085\n ],\n [\n -82.9490270748309,\n 42.339438861020085\n ],\n [\n -82.9490270748309,\n 42.368530023889406\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.83052449197854,\n 42.605189172189114\n ],\n [\n -82.77512824809497,\n 42.605189172189114\n ],\n [\n -82.77512824809497,\n 42.55812492657796\n ],\n [\n -82.83052449197854,\n 42.55812492657796\n ],\n [\n -82.83052449197854,\n 42.605189172189114\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Yeager, Nicholas 0000-0001-9154-692X","orcid":"https://orcid.org/0000-0001-9154-692X","contributorId":371602,"corporation":false,"usgs":false,"family":"Yeager","given":"Nicholas","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":962093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brenden, Travis O. 0000-0002-4373-1503","orcid":"https://orcid.org/0000-0002-4373-1503","contributorId":371603,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","middleInitial":"O.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":962094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":962095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schulz, Kailee A. 0000-0002-0998-7951","orcid":"https://orcid.org/0000-0002-0998-7951","contributorId":371608,"corporation":false,"usgs":false,"family":"Schulz","given":"Kailee","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":962096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tilley, Alden T. 0000-0002-1056-3478","orcid":"https://orcid.org/0000-0002-1056-3478","contributorId":351036,"corporation":false,"usgs":true,"family":"Tilley","given":"Alden","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":962097,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275316,"text":"70275316 - 2026 - Using structured decision-making to develop a communications strategy for the U.S. Geological Survey Cooperative Research Units Program","interactions":[],"lastModifiedDate":"2026-04-30T13:39:25.408554","indexId":"70275316","displayToPublicDate":"2026-04-28T08:33:07","publicationYear":"2026","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":24021,"text":"Preprints.org","active":true,"publicationSubtype":{"id":32}},"title":"Using structured decision-making to develop a communications strategy for the U.S. Geological Survey Cooperative Research Units Program","docAbstract":"Communication regarding the mission of the U.S. Geological Survey (USGS) Cooperative Research Units Program (CRU) can take many forms, yet clear and concise messaging for various audiences is critical to highlight program accomplishments and increase visibility. Before the work described in this report, CRU did not have a communication strategy; therefore, CRU leadership supported a structured decision-making (SDM) workshop to develop a comprehensive strategy for multiple audiences. The workshop was conducted in November 2024, in Nebraska City, Nebraska. The working group for this SDM process included CRU Program leadership, the CRU Communications Team lead, Unit scientists, a Unit administrative assistant, a representative of the Wildlife Management Institute (WMI), a member of the USGS Ecosystems Mission Area (EMA), Office of Communications and Publishing (OCAP) team, and the team lead for the CRU Program strategic planning process, as well as three facilitators who were also unit scientists as well as experts in SDM. Over the course of a week, the SDM team followed the PrOACT framework which identified the problem, objectives, alternatives, consequences, and tradeoffs to guide us toward a strategy for implementation of a set of actions for CRU communications.\n\nResults of the SDM workshop included the development of a problem statement, an objectives hierarchy, a suite of alternatives that were evaluated using a consequences table and a clear process for assessing tradeoffs among alternative communication actions and strategies. Through the evaluation of consequences of each action or campaign, the team developed both the assessment tool (for the future) and an immediate plan for communication product development and distribution. The consequences table for this problem was meant to be flexible to accommodate changes in CRU thematic priorities and can be easily updated with new objectives, measures, and alternatives. In addition, the weight placed on objectives may change as the Team moves forward; the ranking and scoring system used in the workshop can be easily updated. \n\nOverall, the working group identified three different actions or campaigns—Fact Sheets, Who Are We Campaign, and Alumni Campaign—that scored high in the prototype decision framework. However, the tradeoffs analysis indicated that each action(s) performed better on some objectives than others. The working group identified a need to therefore develop an implementation plan that is composed of individual actions that each target different objectives to potentially create a holistic and feasible communications strategy that performs well for all objectives. In addition, the SDM prototype developed a scalable, objective-based framework for effectively communication of the value and accomplishments of the CRU program.","language":"English","publisher":"Preprints.org","doi":"10.20944/preprints202604.2012.v1","usgsCitation":"Robinson, K.F., Sells, S.N., McGowan, C.P., and Irwin, E.R., 2026, Using structured decision-making to develop a communications strategy for the U.S. Geological Survey Cooperative Research Units Program: Preprints.org, preprint posted April 28, 2026, https://doi.org/10.20944/preprints202604.2012.v1.","productDescription":"26 p.","ipdsId":"IP-177620","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":504151,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.20944/preprints202604.2012.v1","text":"External Repository"},{"id":503616,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":960556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sells, Sarah Nelson 0000-0003-4859-7160","orcid":"https://orcid.org/0000-0003-4859-7160","contributorId":302377,"corporation":false,"usgs":true,"family":"Sells","given":"Sarah","email":"","middleInitial":"Nelson","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":960557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":10145,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":false,"id":960558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":960559,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70276582,"text":"70276582 - 2026 - 2025 USGS National Seismic Hazard Model for Puerto Rico and the U.S. Virgin Islands: Overview of model and hazard results","interactions":[],"lastModifiedDate":"2026-06-09T15:20:27.566197","indexId":"70276582","displayToPublicDate":"2026-04-28T08:12:52","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"2025 USGS National Seismic Hazard Model for Puerto Rico and the U.S. Virgin Islands: Overview of model and hazard results","docAbstract":"The U.S. Geological Survey recently updated the National Seismic Hazard Model (NSHM) for Puerto Rico and the U.S. Virgin Islands (PRVI). The first version of the PRVI NSHM was released in 2003, and therefore this 2025 update includes over 20 years of new geologic, geophysical, and engineering data, methods, and models. Updates follow similar efforts performed in the recent 2023 50-state NSHM. However, this is the first NSHM in which we: (1) apply an inversion methodology to subduction interface fault sources in the earthquake rupture forecast (ERF) model; (2) develop scaled backbone median ground-motion models and independent aleatory variability models that are applied in the ground-motion characterization (GMC) model; and (3) calculate epistemic uncertainty related to alternative scenarios in the ERF and GMC models for all grid points in the study region. Long-term time-independent mean hazard calculations were performed for peak ground acceleration and 5%-damped pseudospectral acceleration at 21 spectral periods from 0.01- to 10.0-s, for eight National Earthquake Hazards Reduction Program site conditions ranging from VS30 = 150 to 1500 m/s, and for 2%, 5%, and 10% in 50-year probabilities of exceedance (return periods of 2475, 975, and 475 years, respectively). Epistemic uncertainty, in the form of selected percentiles, is also provided for a suite of test sites and all grid points in the study region for limited periods, site conditions, and probabilities of exceedance. Selected results, including comparisons with the 2003 PRVI NSHM, are shown and discussed for selected periods, site conditions, and probabilities of exceedance. When comparing the 2025 PRVI NSHM with the 2003 PRVI NSHM, hazard is generally higher at shorter periods and lower at longer periods, as a result of updates in both ERF and GMC models. The 2025 PRVI NSHM is applicable for return periods greater than ∼475 or less than ∼10,000 years.
","language":"English","publisher":"Wiley","doi":"10.1002/esp4.70055","usgsCitation":"Shumway, A.M., Milner, K., Powers, P.M., Moschetti, M.P., Altekruse, J.M., Herrick, J.A., Llenos, A.L., Withers, K.B., Field, E.H., Aagaard, B.T., Briggs, R.W., Hatem, A.E., Haynie, K.L., Michael, A.J., Thompson Jobe, J.A., Jaiswal, K.S., Clayton, B.S., Luco, N., Petersen, M.D., Rezaeian, S., Pratt, T.L., and Zeng, Y., 2026, 2025 USGS National Seismic Hazard Model for Puerto Rico and the U.S. Virgin Islands: Overview of model and hazard results: Earthquake Spectra, v. 42, no. 2, e70055, 43 p., https://doi.org/10.1002/esp4.70055.","productDescription":"e70055, 43 p.","ipdsId":"IP-169428","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":505472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp4.70055","text":"Publisher Index 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established practices and recent advances","interactions":[],"lastModifiedDate":"2026-06-15T14:57:46.02845","indexId":"70276659","displayToPublicDate":"2026-04-28T07:49:35","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Computational electromagnetic geophysics for groundwater system studies: A review on established practices and recent advances","docAbstract":"Identifying effective solutions for locating groundwater resources and ensuring the quality of drinking water is increasingly urgent, given the challenges posed by climate change and population growth. This review investigates electromagnetic geophysical imaging techniques, in both time- and frequency-domain, that can provide valuable insights for groundwater assessment. We explore computational electromagnetic methods used to evaluate electromagnetic data and several recent hydrogeophysical case studies.
As open-source frameworks for modeling electromagnetic geophysical problems become available, a broader range of researchers can interpret their data with computationally advanced software. We provide an overview of documented open-source codes for evaluating electromagnetic data and analyze various hydrological targets in relation to their electromagnetic surveying technique and the computational method applied. Furthermore, we evaluate the potential of advanced computational techniques, including three-dimensional modeling, non-deterministic inversion and machine learning, to couple geophysical with numerical groundwater modeling and apply it in groundwater system studies. Despite obstacles such as complexity and resource demands, our findings indicate that the quantification and integration of predictive uncertainties from both electromagnetic and hydrological data and simulations would significantly improve the reliability of hydrogeophysical models. This can lead to a deeper understanding of groundwater systems and improved management practices.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2026.135542","usgsCitation":"Rulff, P., Castillo-Reyes, O., Deleersnyder, W., Mascarell, M.C., Minsley, B.J., and King, J., 2026, Computational electromagnetic geophysics for groundwater system studies: A review on established practices and recent advances: Journal of Hydrology, v. 677, 135542, 24 p., https://doi.org/10.1016/j.jhydrol.2026.135542.","productDescription":"135542, 24 p.","ipdsId":"IP-188975","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":505574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"677","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rulff, Paula","contributorId":372337,"corporation":false,"usgs":false,"family":"Rulff","given":"Paula","affiliations":[{"id":27619,"text":"TU Delft","active":true,"usgs":false}],"preferred":false,"id":963001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castillo-Reyes, Octavio","contributorId":372338,"corporation":false,"usgs":false,"family":"Castillo-Reyes","given":"Octavio","affiliations":[{"id":88298,"text":"Universitat Politècnica de Catalunya - BarcelonaTech","active":true,"usgs":false}],"preferred":false,"id":963002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deleersnyder, Wouter","contributorId":372340,"corporation":false,"usgs":false,"family":"Deleersnyder","given":"Wouter","affiliations":[{"id":88299,"text":"Leuven Campus Kortrijk - KULAK","active":true,"usgs":false}],"preferred":false,"id":963003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mascarell, Maria C.","contributorId":372341,"corporation":false,"usgs":false,"family":"Mascarell","given":"Maria","middleInitial":"C.","affiliations":[{"id":27619,"text":"TU Delft","active":true,"usgs":false}],"preferred":false,"id":963004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minsley, Burke J. 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":248573,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":963005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, Jude","contributorId":372345,"corporation":false,"usgs":false,"family":"King","given":"Jude","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":963006,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276246,"text":"70276246 - 2026 - Rethinking seed selection based on climate matching during restoration: Geography, soils and climate explain species-specific mortality","interactions":[],"lastModifiedDate":"2026-05-20T15:25:15.647561","indexId":"70276246","displayToPublicDate":"2026-04-27T10:17:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":24004,"text":"Cambridge Prisms: Drylands","active":true,"publicationSubtype":{"id":10}},"title":"Rethinking seed selection based on climate matching during restoration: Geography, soils and climate explain species-specific mortality","docAbstract":"Implicit in the construction of seed transfer zones (STZs) are the assumptions that plant populations are adapted to their home climates and that transferring native seed across climate gradients risks maladaptation and poor performance. However, plants are adapted to multiple aspects of their environments that are often excluded from STZ development. Here, we used models integrating geographic distance, climate distance and soil metrics to predict plant mortality in an experimental garden for three restoration-relevant species in the southwestern United States: Bouteloua curtipendula, Heterotheca villosa and Sporobolus cryptandrus. Overall, climate distance explained mortality better than geographic distance, but increasing climate distance was not consistently associated with higher mortality. In contrast, mortality always increased with geographic distance. Species responded idiosyncratically to environmental gradients such as soil texture and pH, indicating that incorporating site-specific variables beyond climate can improve predictions of survival. Finally, seed sources of H. villosa from hotter, drier climates exhibited improved survival during abnormally hot, dry conditions at the experimental site, whereas no consistent pattern emerged for the two grass species. Collectively, our results suggest that seeding strategies extending beyond climate matching alone may better support restoration outcomes when species-specific guidance is unavailable.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/dry.2026.10031","usgsCitation":"Roybal, C.M., Samuel, E.M., Mitchell, R., Winkler, D.E., and Massatti, R., 2026, Rethinking seed selection based on climate matching during restoration: Geography, soils and climate explain species-specific mortality: Cambridge Prisms: Drylands, v. 3, e18, 11 p., https://doi.org/10.1017/dry.2026.10031.","productDescription":"e18, 11 p.","ipdsId":"IP-179648","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504657,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/dry.2026.10031","text":"Publisher Index Page"},{"id":504554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.9792756,\n 32.3152778\n ],\n [\n -104.5535277,\n 36.2876949\n ],\n [\n -108.5944279,\n 39.2530261\n ],\n [\n -113.5012354,\n 37.2127529\n ],\n [\n -108.9792756,\n 32.3152778\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2026-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Roybal, Carla Maria 0000-0002-8294-0666","orcid":"https://orcid.org/0000-0002-8294-0666","contributorId":371436,"corporation":false,"usgs":true,"family":"Roybal","given":"Carla","middleInitial":"Maria","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samuel, Ella M. 0000-0001-5085-7369","orcid":"https://orcid.org/0000-0001-5085-7369","contributorId":355712,"corporation":false,"usgs":true,"family":"Samuel","given":"Ella","middleInitial":"M.","affiliations":[{"id":84821,"text":"US Geological Survey, Fort Collins Science Center","active":true,"usgs":false}],"preferred":true,"id":961820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Rachel M.","contributorId":300516,"corporation":false,"usgs":false,"family":"Mitchell","given":"Rachel M.","affiliations":[{"id":65185,"text":"School of Earth and Sustainability, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":961821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":371439,"corporation":false,"usgs":false,"family":"Winkler","given":"Daniel","middleInitial":"E.","affiliations":[{"id":88142,"text":"formerly: U.S. Geological Survey, Southwest Biological Science Center, 520 N. Park Avenue, Tucson AZ","active":true,"usgs":false}],"preferred":false,"id":961822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961823,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274589,"text":"70274589 - 2026 - GT-Seq panel development for species identification and parentage analysis of closely related hybridising Scaphirhynchus sturgeons","interactions":[],"lastModifiedDate":"2026-04-01T16:19:38.323977","indexId":"70274589","displayToPublicDate":"2026-04-27T09:07:47","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"GT-Seq panel development for species identification and parentage analysis of closely related hybridising Scaphirhynchus sturgeons","docAbstract":"Hatchery supplementation is vital for conserving dwindling fish populations. Effective augmentation requires distinguishing hatchery-origin from wild individuals and accurately identifying species, particularly in systems where closely related species coexist. Genetic monitoring is key to quantifying genetic differences, but conventional markers do not distinguish hybrids, especially backcrosses. Misidentifying hybrids in hatchery programs compromises wild gene pools because hatchery broodstock contributes to numerous offspring being released into the wild. Here, we present a workflow for developing and evaluating the Genotyping-in-Thousands by sequencing (GT-seq) single nucleotide polymorphism (SNP) panel for North American river sturgeons (Scaphirhynchus spp.). This panel is designed to detect complex hybrid classes and to determine parent-offspring relationships. Our species identification panel (S-loci) contains 155 SNPs selected for high genetic differentiation (FST) between Pallid Sturgeon (S. albus) and Shovelnose Sturgeon (S. platorynchus), and the parentage assignment panel (P-loci) includes 112 SNPs with high heterozygosity within Pallid Sturgeon. Simulation analyses demonstrated that our GT-seq S-loci panel reliably classifies pure species, F1, F2 and backcross hybrids, even with up to 70% missing data. The P-loci panel achieves high-confidence parentage assignment with ≥ 80% typed loci, with performance influenced by the proportion of sampled parents. Overall, the novel Scaphirhynchus GT-seq panel developed in this study represents a robust and efficient tool for detecting hybridisation, assigning parentage and providing critical information for management decisions in ongoing Pallid Sturgeon conservation.
","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.70124","usgsCitation":"Huang, J., Flamio Jr., R., Campbell, N.R., DeLonay, A.J., Buhman, A.C., and Heist, E.J., 2026, GT-Seq panel development for species identification and parentage analysis of closely related hybridising Scaphirhynchus sturgeons: Molecular Ecology Resources, v. 26, no. 3, e70124, 15 p., https://doi.org/10.1111/1755-0998.70124.","productDescription":"e70124, 15 p.","ipdsId":"IP-182509","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":502047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1755-0998.70124","text":"Publisher Index Page"},{"id":501950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"lower Mississippi River, Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.23064427153525,\n 39.585048555903796\n ],\n [\n -92.23064427153525,\n 29.23866385061089\n ],\n [\n -89.29970131135747,\n 29.23866385061089\n ],\n [\n -89.29970131135747,\n 39.585048555903796\n ],\n [\n -92.23064427153525,\n 39.585048555903796\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Huang, Junman","contributorId":369077,"corporation":false,"usgs":false,"family":"Huang","given":"Junman","affiliations":[{"id":25439,"text":"Southern Illinois University, Carbondale","active":true,"usgs":false}],"preferred":false,"id":958410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flamio Jr., Richard","contributorId":253126,"corporation":false,"usgs":false,"family":"Flamio Jr.","given":"Richard","affiliations":[{"id":50485,"text":"Department of Zoology, Southern Illinois University Carbondale, Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":958411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Nathan R.","contributorId":369080,"corporation":false,"usgs":false,"family":"Campbell","given":"Nathan","middleInitial":"R.","affiliations":[{"id":87710,"text":"GTseek, LLC","active":true,"usgs":false}],"preferred":false,"id":958412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeLonay, Aaron J. 0000-0002-3752-2799 adelonay@usgs.gov","orcid":"https://orcid.org/0000-0002-3752-2799","contributorId":2725,"corporation":false,"usgs":true,"family":"DeLonay","given":"Aaron","email":"adelonay@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buhman, Amy C.","contributorId":369081,"corporation":false,"usgs":false,"family":"Buhman","given":"Amy","middleInitial":"C.","affiliations":[{"id":25439,"text":"Southern Illinois University, Carbondale","active":true,"usgs":false}],"preferred":false,"id":958414,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heist, Edward J.","contributorId":369082,"corporation":false,"usgs":false,"family":"Heist","given":"Edward","middleInitial":"J.","affiliations":[{"id":25439,"text":"Southern Illinois University, Carbondale","active":true,"usgs":false}],"preferred":false,"id":958415,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276573,"text":"70276573 - 2026 - Engaging adult R3 outdoor educational program design to strengthen participation in hunting and fishing","interactions":[],"lastModifiedDate":"2026-06-09T16:02:43.797976","indexId":"70276573","displayToPublicDate":"2026-04-27T08:58:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Engaging adult R3 outdoor educational program design to strengthen participation in hunting and fishing","docAbstract":"Declining participation in hunting and fishing has been slowed by women who are learning numerous outdoor skills through recruitment, retention, and reactivation [R3] programs. R3 programs are hosted by state agencies, non-governmental organizations, and businesses that take a variety of approaches to develop participant skills and confidence. To understand how R3 program design influences hunting and fishing participation, we conducted 11 focus group interviews with 72 participants at women’s R3 programs to identify program design components that women appreciate when learning to hunt and fish. Well-designed programs offered customized educational approaches to align with participants’ needs, created a supportive environment to foster a sense of belonging, and streamlined participation through event logistics. Programs that incorporated these design components promoted skill development, boosted self-confidence, and helped participants build a supportive network to independently hunt and fish. Program leaders can apply these findings to bolster participation in hunting and fishing.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2026.2644512","usgsCitation":"Redmore, L., Isensee, S., Stafford, J.D., and Zavaleta Cheek, J., 2026, Engaging adult R3 outdoor educational program design to strengthen participation in hunting and fishing: Human Dimensions of Wildlife, https://doi.org/10.1080/10871209.2026.2644512.","ipdsId":"IP-184041","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":505478,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10871209.2026.2644512","text":"Publisher Index Page"},{"id":505240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Redmore, Lauren","contributorId":372061,"corporation":false,"usgs":false,"family":"Redmore","given":"Lauren","affiliations":[{"id":88246,"text":"U.S, Forest Service","active":true,"usgs":false}],"preferred":false,"id":962700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isensee, Shelby","contributorId":372062,"corporation":false,"usgs":false,"family":"Isensee","given":"Shelby","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":962701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stafford, Joshua D. 0000-0001-7590-8708 jstafford@usgs.gov","orcid":"https://orcid.org/0000-0001-7590-8708","contributorId":267260,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":962702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zavaleta Cheek, Jennifer","contributorId":372063,"corporation":false,"usgs":false,"family":"Zavaleta Cheek","given":"Jennifer","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":962703,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275190,"text":"sir20255047 - 2026 - Peak-, mean-, and low-streamflow regional-regression equations for natural streamflow in central and western Colorado, 2019","interactions":[],"lastModifiedDate":"2026-05-18T16:07:47.996983","indexId":"sir20255047","displayToPublicDate":"2026-04-24T13:10:00","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":"2025-5047","displayTitle":"Peak-, Mean-, and Low-Streamflow Regional-Regression Equations for Natural Streamflow in Central and Western Colorado, 2019","title":"Peak-, mean-, and low-streamflow regional-regression equations for natural streamflow in central and western Colorado, 2019","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Colorado Department of Transportation, developed peak-, mean-, and low-streamflow regional-regression equations for estimating various statistics for natural streamflow in hydrologic regions of central and western Colorado. The peak-streamflow regression equations were developed using data from 418 streamgages, consisting of 15,202 years of record and a mean of approximately 36 years of record per streamgage. The mean- and low-streamflow regional-regression equations were developed using data from 323 streamgages where daily streamflow data were collected year-round. The annual exceedance-probability discharges for each streamgage were computed using the USGS software program PeakFQ. Mean monthly and 7-day minimum and maximum streamflows were computed using the USGS software program SWToolbox. Streamflow-duration values were computed using an R script. The regional-regression equations were determined using data for the period of record for a given streamgage through water year 2019. Geographic information systems datasets were used to develop 55 basin and 42 climatic characteristics, which were evaluated as candidate explanatory variables in the regression analysis.
For the peak-streamflow regional-regression equations, the study area was divided into four hydrologic regions based on mean basin elevation, including the Plateau (less than 8,014 feet), Mid-Elevation (8,015 feet to 9,492 feet), Sub-Alpine (9,493 feet to 10,490 feet), and Alpine (greater than 10,490 feet) regions. For the peak-streamflow equations, the selection of basin and climatic characteristics was based on the 1-percent annual exceedance-probability discharge for each hydrologic region.
For the mean streamflow, streamflow-duration values, and 7-day minimum and maximum streamflows, the study area was divided into four hydrologic regions based on river basin, including the (1) Colorado-East Slope Headwaters, (2) Green River, (3) Rio Grande, and (4) San Juan-Dolores. For mean streamflows, basin and climatic characteristics were evaluated separately for the annual period and each month for each hydrologic region. Regional regression equations published in this report are available for use in the USGS web-based program StreamStats.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255047","collaboration":"Prepared in cooperation with the Colorado Department of Transportation","usgsCitation":"Kohn, M.S., Mast, M.A., and Gross, T.A., 2026, Peak-, mean-, and low-streamflow regional-regression equations for natural streamflow in central and western Colorado, 2019: U.S. Geological Survey Scientific Investigations Report 2025–5047, 38 p., https://doi.org/10.3133/sir20255047.","productDescription":"Report: viii, 38 p.; 2 Tables; Data Release","onlineOnly":"Y","ipdsId":"IP-140049","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":503285,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047.pdf","text":"Report","size":"5.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5047"},{"id":504484,"rank":9,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255047/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5047"},{"id":504422,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047.xml"},{"id":504421,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5047/images"},{"id":503897,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119385.htm","linkFileType":{"id":5,"text":"html"}},{"id":503290,"rank":5,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047_table1.2.csv","text":"Table 1.2","size":"16.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2025-5047 Table 2","linkHelpText":"Basin and climate characteristics evaluated for use in the peak-, mean-, and low-streamflow regional-regression equations in central and western Colorado, 2019"},{"id":503284,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5047/coverthb.jpg"},{"id":503289,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2025/5047/sir20255047_table1.1.csv","text":"Table 1.1","size":"72.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2025-5047 Table 1","linkHelpText":"Summary of the streamgages used in the regression analysis of natural streams in central and western Colorado, 2019"},{"id":503286,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q5AMFV","text":"USGS data release","linkHelpText":"Streamflow data and basin characteristics of natural streams in central and western Colorado, 2019"}],"country":"United States","state":"Colorado","otherGeospatial":"central and western Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.5157587,\n 37.0336449\n ],\n [\n -104.2371905,\n 37.7437419\n ],\n [\n -104.4345097,\n 38.3014981\n ],\n [\n -104.9220039,\n 39.2695668\n ],\n [\n -104.5737937,\n 39.5207192\n ],\n [\n -104.8523603,\n 41.026094\n ],\n [\n -109.0540968,\n 40.9910589\n ],\n [\n -109.0557679,\n 37.0087015\n ],\n [\n -104.5157587,\n 37.0336449\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225