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Regulatory mandates to improve water quality and stream health have driven substantial investment in stream restoration. Most projects aim to improve channel-floodplain connectivity, reduce sediment erosion, and enhance habitat for aquatic organisms, yet few include adequate pre- and post-restoration monitoring to assess outcomes. Since 2007, Fairfax County, Virginia, and the U.S. Geological Survey have partnered to monitor and evaluate water-quality conditions in Flatlick Branch. In 2018, a 1.72-km reach of stream above the monitoring station was restored using a Natural Channel Design approach. This study applied the Stream Functions Pyramid (SFP) framework to evaluate restoration tradeoffs. Post-restoration, watershed hydrology remained largely unchanged, but channel modifications increased flow capacity, reduced velocity, and further disconnected the channel from the floodplain. Nutrient and sediment reductions exceeded expected amounts, but the removal of over 20 % of riparian tree canopy increased physicochemical variability and the frequency and magnitude of water temperature heatwaves. Post-restoration, state standards for low dissolved oxygen and elevated pH were exceeded 2.5 and 7.5 times more often, respectively. Gross primary production and ecosystem respiration increased and organic matter sources supporting metabolism shifted from allochthonous to autochthonous. Trends in several benthic macroinvertebrate metrics, which were improving prior to construction, have since plateaued or declined, and the fish assemblage shifted from a native minnow dominated community to non-native, warmwater tolerant taxa. This study highlights the need for comprehensive assessments of stream restoration and benefits of using the SFP to understand the consequences and possible tradeoffs of different ecosystem management decisions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2025.107866","usgsCitation":"Porter, A.J., Ruck, C.M., and Tassone, S.J., 2026, Environmental tradeoffs of urban stream restoration in Fairfax County, Virginia: Ecological Engineering, v. 224, 107866, 21 p., https://doi.org/10.1016/j.ecoleng.2025.107866.","productDescription":"107866, 21 p.","ipdsId":"IP-179952","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":497417,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2025.107866","text":"Publisher Index Page"},{"id":497191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Fairfax 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Aaron J. 0000-0002-0781-3309","orcid":"https://orcid.org/0000-0002-0781-3309","contributorId":239980,"corporation":false,"usgs":true,"family":"Porter","given":"Aaron","email":"","middleInitial":"J.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruck, Christopher M.","contributorId":363394,"corporation":false,"usgs":false,"family":"Ruck","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86691,"text":"Fairfax County Department of Public Works and Environmental Services","active":true,"usgs":false}],"preferred":false,"id":951599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tassone, Spencer John 0000-0002-9340-7170","orcid":"https://orcid.org/0000-0002-9340-7170","contributorId":363395,"corporation":false,"usgs":true,"family":"Tassone","given":"Spencer","middleInitial":"John","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273093,"text":"70273093 - 2026 - Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools","interactions":[],"lastModifiedDate":"2025-12-15T15:39:54.921371","indexId":"70273093","displayToPublicDate":"2025-12-02T09:35:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools","docAbstract":"

Although coastal ecosystems are impacted by climate change and sea-level rise, many ecological and hydrological models do not yet incorporate sea-level rise projections in their modeling outputs. Therefore, this research examined the various challenges that may prevent sea-level rise from being effectively incorporated in modeling and decision-support tools. We conducted semi-structured interviews with twenty-six professionals involved in Florida’s Everglades restoration. We applied the Diffusions of Innovations Theory to better understand factors that can impact practitioners’ adoption of newly designed decision-support tools that examine sea-level rise in the freshwater Everglades. The Diffusions of Innovations Theory provided insights into practitioners’ perceptions of these tools. We found that these practitioners have a strong interest in using dynamic decision-support tools to plan for sea-level rise impacts on Everglades restoration, particularly when they receive information at appropriate geographic and temporal scales and are given hands-on tools and training. However, challenges that prevent developing these tools include outdated data, limited organizational capacity and funding, limited use of long-term indicators, uncertainty about climate change impacts on local ecosystems, and lack of integration between hydrological and ecological models. Our research also highlights that greater availability of different types of tools can help to meet the needs of the scientific and non-scientific audiences involved in Everglades restoration.

","language":"English","publisher":"Springer","doi":"10.1007/s00267-025-02320-0","usgsCitation":"Castellano, S., Clarke, M., D’Acunto, L., Romanach, S., and Cadaval, S., 2026, Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools: Environmental Management, v. 76, 28, 16 p., https://doi.org/10.1007/s00267-025-02320-0.","productDescription":"28, 16 p.","ipdsId":"IP-178284","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497721,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-025-02320-0","text":"Publisher Index Page"},{"id":497522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.69704710537333,\n 26.24594963141459\n ],\n [\n -81.83007585797539,\n 26.06420285323432\n ],\n [\n -81.11975251860886,\n 25.0512667434422\n ],\n [\n -80.33663986178148,\n 25.19217542692222\n ],\n [\n -80.18604127393009,\n 26.735626731938453\n ],\n [\n -81.69704710537333,\n 26.24594963141459\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"76","noUsgsAuthors":false,"publicationDate":"2025-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Castellano, Stephanie","contributorId":353362,"corporation":false,"usgs":false,"family":"Castellano","given":"Stephanie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clarke, Mysha","contributorId":353361,"corporation":false,"usgs":false,"family":"Clarke","given":"Mysha","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":213745,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cadaval, Stephanie","contributorId":364187,"corporation":false,"usgs":false,"family":"Cadaval","given":"Stephanie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952304,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273163,"text":"70273163 - 2026 - Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment","interactions":[],"lastModifiedDate":"2026-02-24T16:36:22.478591","indexId":"70273163","displayToPublicDate":"2025-12-01T09:08:13","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment","title":"Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment","docAbstract":"

Observations of the Evening Bat (Nycticeius humeralis), a species historically distributed abundantly throughout the southeastern United States, are speculated to have increased in the Midwest. One hypothesis for this expansion in geographic distribution is that local extirpations of other bat species resulted in the expanded realized niche spaces for evening bats. In Indiana, such niche spaces may have been created by declines in populations of the Northern Long-eared Bat (Myotis septentrionalis), Indiana Bat (M. sodalis), Little Brown Bat (M. lucifugus), Big Brown Bat (Eptesicus fuscus), and the Tri-colored Bat (Perimyotis subflavus) due to white-nose syndrome (WNS). Our goal was to estimate the occupancy of Evening Bat in Indiana post-WNS establishment relative to the occupancy of other bat species before significant population declines caused by WNS. We expected that indices of occupancy of nearly extirpated species pre-WNS establishment would best predict current Evening Bat observations, and this would elucidate the niche space evening bats are now filling. We hypothesized that Evening Bat populations may be expanding their geographic range due to compensatory community dynamics, and that their realized niche space may be expanding in part due to losses of other bat species from WNS. We constructed multi-season Bayesian occupancy models using informative priors and integrative prior knowledge to test our predictions. We found that evening bats are occupying the niche space they were already occupying pre-WNS establishment. Furthermore, our results indicate that evening bats may be filling the niche space left behind by Myotis spp. (M. sodalis and M. lucifigus). These results can help us understand the dynamics of bat communities in a post-WNS establishment landscape and may also help to inform conservation of imperiled Myotis species.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyaf078","usgsCitation":"Martinez, S.B., D’Acunto, L., Westrich, B.J., Bergeson, S.M., and Zollner, P.A., 2025, Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment: Journal of Mammalogy, https://doi.org/10.1093/jmammal/gyaf078.","productDescription":"11 p.","startPage":"135","endPage":"145","ipdsId":"IP-166556","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497633,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Martinez, Sally B. 0009-0005-5869-4425","orcid":"https://orcid.org/0009-0005-5869-4425","contributorId":364343,"corporation":false,"usgs":false,"family":"Martinez","given":"Sally","middleInitial":"B.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":952556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westrich, Bradford J. 0000-0003-2512-2859","orcid":"https://orcid.org/0000-0003-2512-2859","contributorId":364344,"corporation":false,"usgs":false,"family":"Westrich","given":"Bradford","middleInitial":"J.","affiliations":[{"id":55448,"text":"Indiana Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergeson, Scott M. 0000-0003-2956-4689","orcid":"https://orcid.org/0000-0003-2956-4689","contributorId":364345,"corporation":false,"usgs":false,"family":"Bergeson","given":"Scott","middleInitial":"M.","affiliations":[{"id":86812,"text":"Purdue University Fort Wayne","active":true,"usgs":false}],"preferred":false,"id":952559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zollner, Patrick A. 0000-0001-8263-7029","orcid":"https://orcid.org/0000-0001-8263-7029","contributorId":364346,"corporation":false,"usgs":false,"family":"Zollner","given":"Patrick","middleInitial":"A.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":952560,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70276466,"text":"70276466 - 2026 - Causal networks to inform decisions for ecological restoration","interactions":[],"lastModifiedDate":"2026-06-05T14:34:48.531152","indexId":"70276466","displayToPublicDate":"2025-11-25T09:32:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Causal networks to inform decisions for ecological restoration","docAbstract":"

The release of contaminants into the environment can occur from anthropogenic activities, such as oil extraction and transportation, mining, and industrial processes. Remediation associated with reducing contaminant concentrations, and restoration that improves animals and supporting habitat, are often needed to restore ecosystems to their pre-release, baseline condition. We demonstrated the application of Bayesian Decision Networks (BDNs) with two Natural Resource Damage Assessment and Restoration (NRDAR) case studies. We use a stylized case study of riparian restoration following the remediation of a mine-impacted site to evaluate proposed restoration actions aimed at restoring Song Sparrow (Melospiza melodia) populations to baseline conditions. We then use a settled NRDAR case with implemented restoration in the Upper Arkansas River (UAR, Colorado, USA) to demonstrate the application of BDNs to evaluate and forecast restoration effectiveness for Brown Trout (Salmo trutta) (i.e., restoration effectiveness assessment). The riparian restoration model showed differences in the effects of restoration actions on Song Sparrow populations, with the time to reach baseline generally reduced with increased restoration costs, indicating trade-offs between costs and expected recovery. The UAR model showed recovery of Brown Trout populations (i.e., uplift) in response to improved instream habitat restoration, along with forecasted improvements. While the BDNs we developed were specific to two case studies, the structure is adaptable to a diversity of sites, resources, and actions. We suggest that causal network modeling can provide restoration practitioners with a decision advisory tool useful for a wide range of projects.

","language":"English","publisher":"Springer","doi":"10.1007/s00267-025-02323-x","usgsCitation":"Kotalik, C.J., Rowland, F.E., Marcot, B.G., Skrabis, K.E., Walters, D., Hinck, J.E., Clements, W.H., Richer, E.E., and Isanhart, J.P., 2026, Causal networks to inform decisions for ecological restoration: Environmental Management, v. 76, no. 1, 7, 14 p., https://doi.org/10.1007/s00267-025-02323-x.","productDescription":"7, 14 p.","ipdsId":"IP-175595","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":505463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-025-02323-x","text":"Publisher Index Page"},{"id":505092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Kotalik, Christopher James 0000-0001-6739-6036","orcid":"https://orcid.org/0000-0001-6739-6036","contributorId":301847,"corporation":false,"usgs":true,"family":"Kotalik","given":"Christopher","email":"","middleInitial":"James","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowland, Freya Elizabeth 0000-0002-1041-5301","orcid":"https://orcid.org/0000-0002-1041-5301","contributorId":302395,"corporation":false,"usgs":true,"family":"Rowland","given":"Freya","email":"","middleInitial":"Elizabeth","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marcot, Bruce G.","contributorId":371839,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","middleInitial":"G.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":962448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skrabis, Kristin E.","contributorId":371840,"corporation":false,"usgs":false,"family":"Skrabis","given":"Kristin","middleInitial":"E.","affiliations":[{"id":88226,"text":"DOI - Office of Policy Analysis","active":true,"usgs":false}],"preferred":false,"id":962449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":203410,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":962450,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962451,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clements, William H.","contributorId":371842,"corporation":false,"usgs":false,"family":"Clements","given":"William","middleInitial":"H.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":962452,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Richer, Eric E.","contributorId":371843,"corporation":false,"usgs":false,"family":"Richer","given":"Eric","middleInitial":"E.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":962453,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Isanhart, John P.","contributorId":371844,"corporation":false,"usgs":false,"family":"Isanhart","given":"John","middleInitial":"P.","affiliations":[{"id":88228,"text":"DOI - Office of Restoration and Damage Assessment","active":true,"usgs":false}],"preferred":false,"id":962454,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273249,"text":"70273249 - 2026 - Assessing the topographic distribution of legacy soil phosphorus in agricultural fields of the Delmarva Peninsula, Mid-Atlantic Coastal Plain, USA","interactions":[],"lastModifiedDate":"2025-12-23T15:04:34.80313","indexId":"70273249","displayToPublicDate":"2025-11-25T08:51:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the topographic distribution of legacy soil phosphorus in agricultural fields of the Delmarva Peninsula, Mid-Atlantic Coastal Plain, USA","docAbstract":"

Phosphorus (P) management remains a challenge in agricultural watersheds. The Choptank River Conservation Effects Assessment Project watershed, located in Maryland and Delaware and draining to the Chesapeake Bay, contains legacy soil P from historical dairy and poultry manure applications. These practices elevated soil P beyond crop needs, contributing to persistent P export to aquatic ecosystems. We assessed spatial P distribution and analyzed GIS (Geographic Information Systems)-derived landscape features driving legacy P movement on a farm (47 ha). We hypothesized that P accumulates in drained lowlands and depressional areas due to gravity-driven processes that accelerate P-enriched water to receiving waters via overland flow. In collaboration with the US Department of Agriculture Legacy P project, we collected 105 soil samples (0- to 5-cm and 5- to 15-cm depths) and 14 ditch sediment samples across five topographic openness classes from a farm with >100 years of dairy manure application. Average Mehlich-III P concentrations were 218 and 179 mg kg−1 at 0- to 5-cm and 5- to 15-cm depths, respectively, with legacy areas defined by P content > 100 mg kg−1. Soil P and clay particle size were positively correlated (r = 0.42, p < 0.05), increased as landscape openness decreased, and were negatively correlated with topographic openness (ranging from −0.2 to −0.4, p < 0.05), indicating accumulation of P and clay in low-lying areas. These patterns suggest that historical field-level managements have primarily shaped P distribution, while hydrologic and landscape properties further influence its redistribution via transport pathways and drainage. These findings support the development of landscape models to map critical source areas in low-relief watersheds and guide targeted mitigation in high-risk P export zones.

","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/jeq2.70101","usgsCitation":"Foroughi, M., Du, L., Scott, I.P., Hively, W.D., Simpson, Z.P., Smith, Z.J., Hapeman, C.J., Rabenhorst, M.C., Weil, R.R., and McCarty, G.W., 2026, Assessing the topographic distribution of legacy soil phosphorus in agricultural fields of the Delmarva Peninsula, Mid-Atlantic Coastal Plain, USA: Journal of Environmental Quality, v. 55, no. 1, e70101, 15 p., https://doi.org/10.1002/jeq2.70101.","productDescription":"e70101, 15 p.","ipdsId":"IP-179707","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":498053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.70101","text":"Publisher Index Page"},{"id":497935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Tuckahoe Creek watershed","volume":"55","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Foroughi, Maryam","contributorId":364546,"corporation":false,"usgs":false,"family":"Foroughi","given":"Maryam","affiliations":[{"id":86840,"text":"University of Maryland (UMD), Department of Environmental Science & Technology, College Park, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Du, Ling","contributorId":224056,"corporation":false,"usgs":false,"family":"Du","given":"Ling","email":"","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":952852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Isis P","contributorId":364547,"corporation":false,"usgs":false,"family":"Scott","given":"Isis","middleInitial":"P","affiliations":[{"id":86842,"text":"Kansas State University, Department of Biological and Agricultural Engineering, Manhattan, Kansas, USA","active":true,"usgs":false}],"preferred":false,"id":952853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":201565,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":952854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simpson, Zachary P. 0000-0001-8075-810X","orcid":"https://orcid.org/0000-0001-8075-810X","contributorId":364548,"corporation":false,"usgs":false,"family":"Simpson","given":"Zachary","middleInitial":"P.","affiliations":[{"id":86843,"text":"U.S. Department of Agriculture, Sustainable Water Management Research Unit, Stoneville, Mississippi, USA","active":true,"usgs":false}],"preferred":false,"id":952855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Zacharias J. 0000-0002-6347-9325","orcid":"https://orcid.org/0000-0002-6347-9325","contributorId":364549,"corporation":false,"usgs":false,"family":"Smith","given":"Zacharias","middleInitial":"J.","affiliations":[{"id":86844,"text":"U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS), Hydrology and Remote Sensing Laboratory, Beltsville Agricultural Research Center, Beltsville, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952856,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hapeman, Cathleen J. 0000-0003-3439-2826","orcid":"https://orcid.org/0000-0003-3439-2826","contributorId":364550,"corporation":false,"usgs":false,"family":"Hapeman","given":"Cathleen","middleInitial":"J.","affiliations":[{"id":86844,"text":"U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS), Hydrology and Remote Sensing Laboratory, Beltsville Agricultural Research Center, Beltsville, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952857,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rabenhorst, Martin C. 0000-0002-1664-7242","orcid":"https://orcid.org/0000-0002-1664-7242","contributorId":364551,"corporation":false,"usgs":false,"family":"Rabenhorst","given":"Martin","middleInitial":"C.","affiliations":[{"id":86840,"text":"University of Maryland (UMD), Department of Environmental Science & Technology, College Park, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952858,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weil, Raymond R. 0000-0001-9658-7966","orcid":"https://orcid.org/0000-0001-9658-7966","contributorId":364552,"corporation":false,"usgs":false,"family":"Weil","given":"Raymond","middleInitial":"R.","affiliations":[{"id":86840,"text":"University of Maryland (UMD), Department of Environmental Science & Technology, College Park, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952859,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCarty, Greg W.","contributorId":131149,"corporation":false,"usgs":false,"family":"McCarty","given":"Greg","email":"","middleInitial":"W.","affiliations":[{"id":7262,"text":"USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":952860,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70275030,"text":"70275030 - 2026 - Land cover, elevation, and precipitation predict distribution and hotspots of three bird species of concern in boreal Alaska","interactions":[],"lastModifiedDate":"2026-04-13T14:53:18.323215","indexId":"70275030","displayToPublicDate":"2025-11-21T09:44:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Land cover, elevation, and precipitation predict distribution and hotspots of three bird species of concern in boreal Alaska","docAbstract":"

The boreal forest biome is an important breeding area for migratory birds and is undergoing rapid changes, including drying of wetlands, changes to vegetation composition, and human development. Many boreal bird populations are declining, but information is often lacking on how these species associate with habitat characteristics and thus how they may respond to changing conditions. We used a large point-count dataset to describe habitat associations and hotspots for three boreal species of concern in Alaska, USA: Tringa flavipes (Lesser Yellowlegs), Contopus cooperi (Olive-sided Flycatcher), and Euphagus carolinus (Rusty Blackbird). We used an N-mixture model to evaluate covariates of abundance and two components of detection (availability and perceptibility). We then used the estimated relationships with covariates to predict density of each species across the Northwestern Interior Forest (Bird Conservation Region 4) in Alaska, including identifying hotspots where density was predicted to be in the top 10% of all locations. T. flavipes and E. carolinus were associated with wetlands and mean values of June precipitation; T. flavipes were also associated with low elevation and recent fire; and C. cooperi was associated with needleleaf forest and moderate elevation. Hotspots for T. flavipes and E. carolinus usually overlapped, while hotspots for C. cooperi almost never overlapped with those of the other two species. Following ground-truthing, these predicted distributions could be used to indicate areas of high importance for species of conservation concern and thus inform management decisions and mitigation measures. Our results could also help identify areas that are likely to be important for these species in the future, given the rapid changes now occurring across the boreal biome in response to climate warming and drying.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf072","usgsCitation":"Weiser, E.L., Christie, K., Burns, C.T., Hagelin, J.C., Matsuoka, S.M., Johnson, J.A., and Handel, C.M., 2026, Land cover, elevation, and precipitation predict distribution and hotspots of three bird species of concern in boreal Alaska: Ornithological Applications, v. 128, no. 1, p. 1-14, https://doi.org/10.1093/ornithapp/duaf072.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-173816","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":504063,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1A9HM4R","text":"USGS data release","linkHelpText":"R scripts to run model of bird density and habitat associations"},{"id":502996,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duaf072","text":"Publisher Index Page"},{"id":502742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -151.1832172747073,\n 59.13365735004231\n ],\n [\n -147.31692125943155,\n 59.58285918598074\n ],\n [\n -144.5504762366018,\n 59.98787477154784\n ],\n [\n -140.98899437078293,\n 60.56824776252196\n ],\n [\n -140.97836768707944,\n 68.7876537335149\n ],\n [\n -163.90405087591324,\n 67.79343524918025\n ],\n [\n -162.87185288557635,\n 66.98967164182704\n ],\n [\n -159.64110532284926,\n 66.37323884592763\n ],\n [\n -160.51454911606677,\n 65.3848210134932\n ],\n [\n -163.66272432299337,\n 64.88616256748963\n ],\n [\n -162.92957746110244,\n 64.45699993046611\n ],\n [\n -160.98494728134088,\n 64.64573400264587\n ],\n [\n -161.77397727382123,\n 62.99858790802136\n 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Threatened","active":true,"usgs":false}],"preferred":false,"id":959265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, Casey T.","contributorId":244656,"corporation":false,"usgs":false,"family":"Burns","given":"Casey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":959266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagelin, Julie C 0000-0002-0434-6936","orcid":"https://orcid.org/0000-0002-0434-6936","contributorId":270470,"corporation":false,"usgs":false,"family":"Hagelin","given":"Julie","email":"","middleInitial":"C","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":959267,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matsuoka, Steven M. 0000-0001-6415-1885 smatsuoka@usgs.gov","orcid":"https://orcid.org/0000-0001-6415-1885","contributorId":184173,"corporation":false,"usgs":true,"family":"Matsuoka","given":"Steven","email":"smatsuoka@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":959268,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, James A. 0000-0002-2312-0633","orcid":"https://orcid.org/0000-0002-2312-0633","contributorId":299054,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":959269,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":959270,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272698,"text":"70272698 - 2026 - Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system","interactions":[],"lastModifiedDate":"2026-05-19T15:27:56.818086","indexId":"70272698","displayToPublicDate":"2025-11-21T09:23:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system","docAbstract":"

he Hayward, Calaveras, and Rodgers Creek faults in the San Francisco Bay region of California have a high probability of producing a large earthquake in the next decades. Although these faults creep, the creep is insufficient to keep up with their relatively rapid slip rates on their deepest sections, so they have been storing tectonic strain since their last large earthquakes, with the Hayward’s and Rodgers Creek’s more than 150 yr ago. We do not know what the next large Hayward–Calaveras–Rodgers Creek earthquakes will look like or how strongly they will shake the San Francisco Bay region. Harris et al. (2021) used the 3D dynamic (spontaneous) rupture method to simulate large earthquakes on these creeping faults. In this article, we examine the resulting simulated long‐period (T > 1 s) ground shaking from 0 to 50 km distance, for earthquakes nucleating on the Hayward fault and earthquakes nucleating on the Rodgers Creek fault. We compare these simulated long‐period ground motions with the Boore et al. (2014) well‐established empirically based ground‐motion model suitable for the slowest material velocity in our 3D velocity structure. We find that the simulated long‐period ground motions from the creeping‐fault earthquake scenarios produce a reasonable agreement with the empirical expectations if frictional cohesion is included only where it is appropriate.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250194","usgsCitation":"Harris, R.A., Barall, M., Parker, G.A., and Hirakawa, E.T., 2026, Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system: Seismological Research Letters, v. 97, no. 3, p. 2050-2063, https://doi.org/10.1785/0220250194.","productDescription":"14 p.","startPage":"2050","endPage":"2063","ipdsId":"IP-170265","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":497053,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497108,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250194","text":"Publisher Index Page"}],"country":"United States","state":"California","otherGeospatial":"Hayward, Calaveras, and Rodgers Creek faults, San Francisco Bay region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124,\n 39\n ],\n [\n -124,\n 36\n ],\n [\n -120,\n 36\n ],\n [\n -120,\n 39\n ],\n [\n -124,\n 39\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"97","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, Michael 0000-0001-7724-8563 mbarall@usgs.gov","orcid":"https://orcid.org/0000-0001-7724-8563","contributorId":271197,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hirakawa, Evan Tyler 0000-0002-5720-0850","orcid":"https://orcid.org/0000-0002-5720-0850","contributorId":295776,"corporation":false,"usgs":true,"family":"Hirakawa","given":"Evan","email":"","middleInitial":"Tyler","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951361,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272656,"text":"70272656 - 2026 - Bioclimatic, demographic, and anthropogenic correlates of grizzly bear activity patterns in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2026-04-20T15:46:00.314968","indexId":"70272656","displayToPublicDate":"2025-11-20T10:03:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Bioclimatic, demographic, and anthropogenic correlates of grizzly bear activity patterns in the Greater Yellowstone Ecosystem","docAbstract":"

Plasticity of diel activity rhythms may be a key element for adaptations of wildlife populations to changing environmental conditions. In the last decades, grizzly bears Ursus arctos in the Greater Yellowstone Ecosystem (GYE) have experienced notable environmental fluctuations, including changes in availability of food sources and severe droughts. Although substantial research has been conducted on grizzly bear diets, space use, and demographic parameters, studies on factors that may influence their diel activity patterns are lacking. We investigated diel activity of grizzly bears in the GYE as a function of anthropogenic landscape modification, maximum daily ambient temperature, drought severity, and bear density. Specifically, we used accelerometry readings of 169 bears (39 females, 130 males) from 2009 to 2022 to compute three complementary activity measures, hourly intensity of activity, daily active minutes, and active bout length, each used as a response variable within a Bayesian modeling framework. Grizzly bears generally exhibited bimodal diel activity, with crepuscular peaks and slight variations across seasons. Females with young (i.e. cubs or yearlings) were an exception, with more pronounced diurnal activity patterns, possibly as a strategy to avoid infanticide by dominant males. Landscape modification and maximum ambient temperature were the factors most strongly associated with activity patterns of grizzly bears, with greater nocturnality observed in lone females and males as these factors increased. Females with young were comparatively less affected. The GYE is changing because of increasing land development, human recreation pressures, and effects of climate change. Given their greater diurnal activity compared with other cohorts, female grizzly bears with dependent offspring may be more constrained in their ability to modify activity patterns. Our findings add to a growing body of research emphasizing the importance of the temporal dimension of wildlife behavior as a critical factor in assessing species adaptability and vulnerability in a changing world.

","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/oik.11851","usgsCitation":"Donatelli, A., Haroldson, M., Clapp, J.G., Ciucci, P., and van Manen, F.T., 2026, Bioclimatic, demographic, and anthropogenic correlates of grizzly bear activity patterns in the Greater Yellowstone Ecosystem: Oikos, v. 2026, no. 4, e11851, 15 p., https://doi.org/10.1002/oik.11851.","productDescription":"e11851, 15 p.","ipdsId":"IP-179581","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":497083,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/oik.11851","text":"Publisher Index Page"},{"id":496987,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"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 \"coordinates\": [\n [\n [\n -112.3187629306571,\n 45.33972157168918\n ],\n [\n -112.3187629306571,\n 42.05504689696562\n ],\n [\n -108.71329990703327,\n 42.05504689696562\n ],\n [\n -108.71329990703327,\n 45.33972157168918\n ],\n [\n -112.3187629306571,\n 45.33972157168918\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2026","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Donatelli, A.","contributorId":358394,"corporation":false,"usgs":false,"family":"Donatelli","given":"A.","affiliations":[{"id":81866,"text":"University of Rome La Sapienza","active":true,"usgs":false}],"preferred":false,"id":951221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haroldson, Mark 0000-0002-7457-7676","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":316737,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":951222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clapp, Justin G.","contributorId":363181,"corporation":false,"usgs":false,"family":"Clapp","given":"Justin","middleInitial":"G.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":951223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ciucci, P.","contributorId":358405,"corporation":false,"usgs":false,"family":"Ciucci","given":"P.","affiliations":[{"id":81866,"text":"University of Rome La Sapienza","active":true,"usgs":false}],"preferred":false,"id":951224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":951225,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273661,"text":"70273661 - 2026 - Demographic mechanisms of snowshoe hare population cycles in Yukon, Canada","interactions":[],"lastModifiedDate":"2026-01-22T15:15:07.211159","indexId":"70273661","displayToPublicDate":"2025-11-20T09:09:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Demographic mechanisms of snowshoe hare population cycles in Yukon, Canada","docAbstract":"
  1. One hundred years have elapsed since Charles Elton (1924) described the periodic fluctuations in North American snowshoe hare abundance, yet mechanisms underlying 9–11-year population cycles in snowshoe hares continue to be debated.
  2. We applied multistate capture–mark–recapture models to long-term field data (1977–2020) based on >20,000 captures of >7000 unique snowshoe hares (Lepus americanus) from Kluane Lake, Yukon, Canada, to estimate and model state-specific demographic parameters. Juveniles had the lowest and reproductive adult females the highest apparent survival. Apparent survival of all sex-age classes was highest during the mid- and late-breeding seasons and was generally better during the increase phase.
  3. Conditional probability of females transitioning from non-reproductive to reproductive state, and reproductive females remaining in the reproductive state, increased substantially as the population transitioned from low to increase phase throughout the breeding season.
  4. Analysis of stage-structured matrix population models revealed that population-dynamic characteristics were strongly phase-specific, and also varied across seasons, with the increase phases being characterized by high monthly asymptotic population growth rate. Snowshoe hares experienced short stage-specific generation time during the early breeding season across all phases; they experienced relatively long generation time during the increase and low phase of the mid-breeding season, and the increase and peak phase of the late breeding season.
  5. Elasticity analyses showed that asymptotic population growth rate was proportionately most sensitive to changes in survival of adult females across all phases and seasons. However, retrospective life table response experiment analysis showed that rapid growth of the snowshoe hare populations during the increase phase was due to improvements in reproductive transitions and pre-weaning survival, whereas population declines are caused primarily by reduced survival (primarily, pre-weaning survival), with reduced reproductive transitions and smaller litter sizes playing a secondary role.
  6. Our results suggest that cyclic populations of snowshoe hares are characterized by complex demographic and population-dynamic patterns, depending on phase of the cycle and reproductive season, and that different demographic mechanisms underlie rapid population growth during the increase phase, and swift population declines as the population transitions from the peak to the decline phase. Because our study represents the first comprehensive demographic and population-dynamic study of a cyclic population, similar studies would be needed to test the generalities of our conclusions. Whereas density-dependent predation has been shown to be the primary cause of phase-related changes in survival, future research should focus on identifying mechanisms underlying phase-related changes in reproductive parameters.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.70169","usgsCitation":"Oli, M., Kenney, A.J., Boonstra, R., Boutin, S., Murray, D., Jung, T., Hines, J.E., and Krebs, C., 2026, Demographic mechanisms of snowshoe hare population cycles in Yukon, Canada: Journal of Animal Ecology, v. 95, no. 1, p. 21-38, https://doi.org/10.1111/1365-2656.70169.","productDescription":"18 p.","startPage":"21","endPage":"38","ipdsId":"IP-172112","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Yukon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -140.9400718299732,\n 69.8062004406541\n ],\n [\n -141.019076363196,\n 60.33570031084318\n ],\n [\n -138.83560491443717,\n 60.14159250940736\n ],\n [\n -123.79814159038987,\n 60.023363477181476\n ],\n [\n -124.69952661660894,\n 61.1513424859549\n ],\n [\n -126.77625083819495,\n 60.94315027125572\n ],\n [\n -130.50198375940147,\n 63.86278204053164\n ],\n [\n -132.5453799160344,\n 65.20621371936573\n ],\n [\n -132.51008279551598,\n 66.06374914289063\n ],\n [\n -133.6821615156545,\n 66.27096365817678\n ],\n [\n -133.8993162710563,\n 66.95600944851316\n ],\n [\n -136.16958990873138,\n 67.10093721619617\n ],\n [\n -136.4898216968826,\n 69.58171511005943\n ],\n [\n -140.9400718299732,\n 69.8062004406541\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"95","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Oli, Madan K.","contributorId":352359,"corporation":false,"usgs":false,"family":"Oli","given":"Madan K.","affiliations":[{"id":84187,"text":"Department of Wildlife Ecology and Conservation, Newins-Zeigler Hall, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":954220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kenney, Alice J","contributorId":223008,"corporation":false,"usgs":false,"family":"Kenney","given":"Alice","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":954221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boonstra, Rudy","contributorId":304127,"corporation":false,"usgs":false,"family":"Boonstra","given":"Rudy","affiliations":[{"id":65976,"text":"Department of Biological Sciences, University of Toronto Scarborough","active":true,"usgs":false}],"preferred":false,"id":954222,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boutin, Stan","contributorId":223010,"corporation":false,"usgs":false,"family":"Boutin","given":"Stan","email":"","affiliations":[],"preferred":false,"id":954223,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, Dennis","contributorId":195717,"corporation":false,"usgs":false,"family":"Murray","given":"Dennis","affiliations":[],"preferred":false,"id":954224,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jung, Thomas","contributorId":221306,"corporation":false,"usgs":false,"family":"Jung","given":"Thomas","affiliations":[{"id":33063,"text":"Yukon Department of Environment","active":true,"usgs":false}],"preferred":false,"id":954225,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":954226,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krebs, Charles J","contributorId":146456,"corporation":false,"usgs":false,"family":"Krebs","given":"Charles J","affiliations":[{"id":16701,"text":"Dept. of Zoology, University of British Columbia, Vancouver","active":true,"usgs":false}],"preferred":false,"id":954227,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273797,"text":"70273797 - 2026 - Reconciliation of geochronology and paleozoogeography for Quaternary marine terraces, San Luis Obispo Bay area, California, USA","interactions":[],"lastModifiedDate":"2026-01-30T16:41:32.315493","indexId":"70273797","displayToPublicDate":"2025-11-04T10:35:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Reconciliation of geochronology and paleozoogeography for Quaternary marine terraces, San Luis Obispo Bay area, California, USA","docAbstract":"
In the San Luis Obispo Bay area of central California, interpretations of marine terrace ages have been hampered by inconsistent results from geochronological indicators (U-series ages of corals and correlations using amino acid racemization of mollusks) and seemingly contradictory paleozoogeographic aspects of fossil faunal assemblages. New U-series ages of corals, amino acid data from mollusks, and detailed analyses of fossil mollusk assemblages are presented that reconcile many of the apparently discordant results from previous studies. The two lowest-elevation terraces are Q1 (lower) and Q2 (upper); both are thought to date from high-sea stands of marine isotope stage (MIS) 5, the last interglacial complex. A combination of U-series dating and amino acid racemization results indicates that the Q1 terrace probably dates to the ∼80 ka high-sea stand of MIS 5a. U-series analyses of corals from the Q2 terrace show open-system histories, but consideration of two alternative open-system histories indicates that this terrace likely hosts corals dating to the high-sea stands of MIS 5c (∼105–95 ka) and MIS 5e (∼130–115 ka). Amino acid ratios in the fossil bivalve Leukoma staminea (Conrad, 1837) support the age differences between the two terraces and the open-system models suggested by the U-series data. Alkenone studies along much of the coast of California have shown that sea surface temperatures (SSTs) of the eastern Pacific Ocean were warmer than present during MIS 5e. During MIS 5c, on the other hand, SSTs were either similar to the present or cooler, but in either case, much cooler than during MIS 5e. The paleozoogeographic aspects of the molluscan faunas from the Q2 terrace support an interpretation that these deposits contain a mixture of fossils from both the MIS 5c and 5e high-sea stands. Fossils from the Q2 terrace include southern or southward-ranging species (likely dating to MIS 5e) and northern or northward-ranging species (likely dating to MIS 5c). A mixture of MIS 5e and MIS 5c fossils on the Q2 terrace is consistent with similar data reported for other localities in California. This phenomenon is explained by glacial isostatic adjustment (GIA) processes, which brought about a higher-than-present sea level during MIS 5c. GIA processes, combined with a low uplift rate, allowed mixing of MIS 5e fossils during the MIS 5c high-sea stand through capture of an MIS 5e terrace that had experienced minimal uplift in ∼20,000 years. Terrace reoccupation and fossil mixing such as that in the San Luis Obispo Bay area can be expected along any part of the Pacific Coast of North America that was affected by GIA processes and where uplift rates are low.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2025.113354","usgsCitation":"Muhs, D., Groves, L.T., Schumann, R.R., and Bright, J., 2026, Reconciliation of geochronology and paleozoogeography for Quaternary marine terraces, San Luis Obispo Bay area, California, USA: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 681, 113354, 29 p., https://doi.org/10.1016/j.palaeo.2025.113354.","productDescription":"113354, 29 p.","ipdsId":"IP-179136","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":499374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Luis Obispo Bay area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121,\n 35.5\n ],\n [\n -121,\n 35\n ],\n [\n -120.5,\n 35\n ],\n [\n -120.5,\n 35.5\n ],\n [\n -121,\n 35.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"681","noUsgsAuthors":false,"publicationDate":"2025-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":954857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groves, Lindsey T. 0000-0002-2097-2689","orcid":"https://orcid.org/0000-0002-2097-2689","contributorId":365815,"corporation":false,"usgs":false,"family":"Groves","given":"Lindsey","middleInitial":"T.","affiliations":[{"id":12725,"text":"Natural History Museum of Los Angeles County","active":true,"usgs":false}],"preferred":false,"id":954858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schumann, R. Randall 0000-0001-8158-6960 rschumann@usgs.gov","orcid":"https://orcid.org/0000-0001-8158-6960","contributorId":1569,"corporation":false,"usgs":true,"family":"Schumann","given":"R.","email":"rschumann@usgs.gov","middleInitial":"Randall","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":954859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bright, Jordon","contributorId":63981,"corporation":false,"usgs":false,"family":"Bright","given":"Jordon","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":954860,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272655,"text":"70272655 - 2026 - Apparent annual survival of adult Golden-winged Warblers (Vermivora chrysoptera) may not differ by sex or region","interactions":[],"lastModifiedDate":"2026-01-22T16:31:44.056289","indexId":"70272655","displayToPublicDate":"2025-10-28T10:26:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10109,"text":"Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Apparent annual survival of adult Golden-winged Warblers (Vermivora chrysoptera) may not differ by sex or region","title":"Apparent annual survival of adult Golden-winged Warblers (Vermivora chrysoptera) may not differ by sex or region","docAbstract":"

Understanding range-wide demographic, spatial, and temporal variation in annual survival is essential for managing species of conservation concern. Multi-population models are useful tools for integrating diverse datasets, reducing biases, and deriving survival estimates across differing spatial scales. We conducted a range-wide, multi-population apparent annual survival analysis for a declining songbird, Vermivora chrysoptera (Golden-winged Warbler), using data from 18 sites across its breeding and nonbreeding grounds. This Nearctic-Neotropical migrant breeds in 2 disjunct regional populations, the Great Lakes and Appalachian Mountains, which are experiencing different rates of decline. We aimed to quantify regional-, site-, and sex-specific apparent annual survival estimates to identify geographic patterns or demographic factors influencing population declines. We used simulations to assess the precision of our estimates. Our models did not reveal a substantial difference in apparent annual survival between the Great Lakes (0.41, 95% credible interval (CrI):0.31–0.50) and the Appalachian regions (0.49, 95% CrI: 0.36–0.60), as CrIs overlapped. Site-specific estimates also showed no clear differences in apparent annual survival among sites representing both regional populations. Male apparent annual survival tended to be greater than female apparent annual survival in both regions, though CrI’s overlapped. Our study suggests demographic factors other than adult annual survival likely play a larger role in recent regional and range-wide population declines, such as productivity, juvenile/immature survival, or recruitment. Simulations indicate that improving recapture probability and study duration of datasets could lead to more precise apparent annual survival estimates. However, our model produced CrI ranges comparable to the most ideal data collection scenario, suggesting the lack of trends we found was not due to variability in our estimates. We stress the importance of addressing inherent biases in survival datasets and the need for standardized collaborative efforts to inform species conservation on a range-wide scale.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithology/ukaf049","usgsCitation":"Filiberti, E.N., Roth, A.M., Thogmartin, W.E., Royal, E.J., Aldinger, K.R., Bennett, R.E., Buehler, D.A., Bulluck, L.P., Canterbury, R.A., Chandler, R., Clements, S.J., Fiss, C.J., Hobson, K.A., Jones, J.A., King, D., Kramer, G.R., Larkin, J.L., McNeil, D.J., Ritterson, J.D., Buckardt Thomas, A., Vallender, R., Van Wilgenburg, S.L., and Wood, P.B., 2026, Apparent annual survival of adult Golden-winged Warblers (Vermivora chrysoptera) may not differ by sex or region: Ornithology, v. 143, no. 1, p. 1-13, https://doi.org/10.1093/ornithology/ukaf049.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-177249","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496993,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Filiberti, Emily N.","contributorId":363159,"corporation":false,"usgs":false,"family":"Filiberti","given":"Emily","middleInitial":"N.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":951198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roth, Amber M.","contributorId":363161,"corporation":false,"usgs":false,"family":"Roth","given":"Amber","middleInitial":"M.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":951199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":951200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Royal, Ethan J.","contributorId":363163,"corporation":false,"usgs":false,"family":"Royal","given":"Ethan","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":951201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aldinger, Kyle R.","contributorId":363165,"corporation":false,"usgs":false,"family":"Aldinger","given":"Kyle","middleInitial":"R.","affiliations":[{"id":86634,"text":"West Virginia Cooperative Fish and Wildlife Research Unit, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":951202,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennett, Ruth E.","contributorId":363166,"corporation":false,"usgs":false,"family":"Bennett","given":"Ruth","middleInitial":"E.","affiliations":[{"id":49100,"text":"Smithsonian National Zoo","active":true,"usgs":false}],"preferred":false,"id":951203,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buehler, David A.","contributorId":363167,"corporation":false,"usgs":false,"family":"Buehler","given":"David","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":951204,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bulluck, Lesley P.","contributorId":204987,"corporation":false,"usgs":false,"family":"Bulluck","given":"Lesley","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":951205,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Canterbury, Ronald A.","contributorId":363168,"corporation":false,"usgs":false,"family":"Canterbury","given":"Ronald","middleInitial":"A.","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":951206,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chandler, Richard","contributorId":337621,"corporation":false,"usgs":false,"family":"Chandler","given":"Richard","affiliations":[{"id":24699,"text":"UGA","active":true,"usgs":false}],"preferred":false,"id":951207,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Clements, Sarah J.","contributorId":363169,"corporation":false,"usgs":false,"family":"Clements","given":"Sarah","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":951208,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fiss, Cameron J.","contributorId":363170,"corporation":false,"usgs":false,"family":"Fiss","given":"Cameron","middleInitial":"J.","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":951209,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hobson, Keith A.","contributorId":363171,"corporation":false,"usgs":false,"family":"Hobson","given":"Keith","middleInitial":"A.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":951210,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Jones, John Anthony","contributorId":363172,"corporation":false,"usgs":false,"family":"Jones","given":"John","middleInitial":"Anthony","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":951211,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"King, David A.","contributorId":201282,"corporation":false,"usgs":false,"family":"King","given":"David A.","affiliations":[],"preferred":false,"id":951212,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Kramer, Gunnar R.","contributorId":363173,"corporation":false,"usgs":false,"family":"Kramer","given":"Gunnar","middleInitial":"R.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":951213,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Larkin, Jeffery L.","contributorId":363174,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffery","middleInitial":"L.","affiliations":[{"id":38138,"text":"Indiana University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":951214,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"McNeil, Darin J.","contributorId":363176,"corporation":false,"usgs":false,"family":"McNeil","given":"Darin","middleInitial":"J.","affiliations":[{"id":86636,"text":"Massachusetts Audubon Society","active":true,"usgs":false}],"preferred":false,"id":951215,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Ritterson, Jeffrey D.","contributorId":363178,"corporation":false,"usgs":false,"family":"Ritterson","given":"Jeffrey","middleInitial":"D.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":951216,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Buckardt Thomas, Anna","contributorId":343310,"corporation":false,"usgs":false,"family":"Buckardt Thomas","given":"Anna","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":951217,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Vallender, Rachel","contributorId":194966,"corporation":false,"usgs":false,"family":"Vallender","given":"Rachel","email":"","affiliations":[{"id":27312,"text":"Canadian Wildlife Service, Environment and Climate Change Canada, 6 Bruce Street, Mount","active":true,"usgs":false},{"id":34540,"text":"Canadian Museum of Nature","active":true,"usgs":false}],"preferred":false,"id":951218,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Van Wilgenburg, Steven L.","contributorId":363180,"corporation":false,"usgs":false,"family":"Van Wilgenburg","given":"Steven","middleInitial":"L.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":951219,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Wood, Petra B.","contributorId":305342,"corporation":false,"usgs":false,"family":"Wood","given":"Petra","email":"","middleInitial":"B.","affiliations":[{"id":66214,"text":"West Virginia Cooperative Fish and Wildlife Research Unit,","active":true,"usgs":false}],"preferred":false,"id":951220,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}} ,{"id":70274692,"text":"70274692 - 2026 - Riverscape genetics of nonnative Brook Trout to inform native cutthroat trout conservation","interactions":[],"lastModifiedDate":"2026-04-06T14:07:36.785359","indexId":"70274692","displayToPublicDate":"2025-10-25T09:04:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Riverscape genetics of nonnative Brook Trout to inform native cutthroat trout conservation","docAbstract":"
Objective

Understanding how riverscape features influence gene flow is critical for managing population connectivity in freshwater species. We examined how landscape and stream characteristics shape the spatial genetic structure of nonnative Brook Trout Salvelinus fontinalis in a headwater stream network proposed for reintroduction of federally threatened Greenback Cutthroat Trout Oncorhynchus virginalis stomias. Brook Trout were studied to evaluate the suitability of this habitat for supporting a native trout metapopulation.

Methods

We genotyped 757 Brook Trout from 22 sites across a 60-km stream network using 12 microsatellite loci. Spatial genetic structure was assessed using clustering analysis (program STRUCTURE) and pairwise differentiation metrics (FST and Jost’s D). A spatial network modeling approach was used to quantify the effects of riverscape features (e.g., stream gradient, stream order, waterfalls, and flow direction) on trout gene flow.

Results

Genetic clustering identified four distinct tributary groups, while estimates of pairwise genetic differentiation indicated some genetic connectivity across the network (mean FST = 0.04; mean Jost’s D = 0.06). Trout gene flow was impeded by waterfalls, steep stream gradients, and increased hydrologic distance. Higher stream order and downstream flow direction were associated with stronger gene flow, and stream segments containing waterfalls and steeper gradients showed greater asymmetries between upstream and downstream gene flow.

Conclusions

Brook Trout populations in this stream network are spatially structured, but gene flow persists and is mediated by physical riverscape features and hydrologic distance. The observed patterns of genetic connectivity suggest that this habitat can support connectivity among populations of reintroduced Greenback Cutthroat Trout. In future native trout reintroduction efforts, prioritizing habitats with gradual stream gradients and fewer waterfalls would promote population connectivity.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnaf045","usgsCitation":"Stack, T., Harris, A.C., Fairchild, M.P., Oyler-McCance, S.J., Fike, J., Winkelman, D.L., and Kanno, Y., 2026, Riverscape genetics of nonnative Brook Trout to inform native cutthroat trout conservation: Transactions of the American Fisheries Society, v. 155, no. 1, p. 26-40, https://doi.org/10.1093/tafafs/vnaf045.","productDescription":"15 p.","startPage":"26","endPage":"40","ipdsId":"IP-176667","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":502468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/tafafs/vnaf045","text":"Publisher Index Page"},{"id":502199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"155","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Stack, Taylor","contributorId":340291,"corporation":false,"usgs":false,"family":"Stack","given":"Taylor","email":"","affiliations":[{"id":81548,"text":"Department of Fish, Wildlife, and Conservation Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":958707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Audrey C.","contributorId":369264,"corporation":false,"usgs":false,"family":"Harris","given":"Audrey","middleInitial":"C.","affiliations":[{"id":20304,"text":"Pacific States Marine Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":958708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fairchild, Matthew P.","contributorId":369265,"corporation":false,"usgs":false,"family":"Fairchild","given":"Matthew","middleInitial":"P.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":958709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":958710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":958711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958712,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kanno, Yoichiro","contributorId":210653,"corporation":false,"usgs":false,"family":"Kanno","given":"Yoichiro","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":958713,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272591,"text":"70272591 - 2026 - Year-round daytime pCO2 undersaturation in an instream series of urban reservoirs with a history of harmful algal blooms","interactions":[],"lastModifiedDate":"2026-02-09T16:08:11.743228","indexId":"70272591","displayToPublicDate":"2025-10-23T08:11:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Year-round daytime pCO2 undersaturation in an instream series of urban reservoirs with a history of harmful algal blooms","title":"Year-round daytime pCO2 undersaturation in an instream series of urban reservoirs with a history of harmful algal blooms","docAbstract":"

Daytime water quality was determined monthly over two years in an instream series of four urban reservoirs with recurring blooms of Prymnesium parvum—a cool-season toxigenic species. Temperature, pH, and laboratory-measured total alkalinity were used to estimate pCO2. System-wide, pCO2 was negatively associated with dissolved oxygen. Chlorophyll-a, phycocyanin (cyanobacterial pigment), and P. parvum were negatively associated with pCO2 and positively with dissolved oxygen. Three reservoirs were productive and, during daytime, pCO2-undersaturated year-round or near-year-round, while a fourth (third in the series) was unproductive and mostly pCO2-oversaturated. Seasonal phycocyanin and chlorophyll-a patterns indicated that cyanobacterial and eukaryotic (P. parvum included) phytoplankton growth drives daytime CO2 depletion in the productive reservoirs during the warm and cool seasons, respectively. The system’s moderate alkalinity (HCO3−) may serve as an alternative carbon source for photosynthesis; however, the persistent depletion of CO2 and the energetic cost of using HCO3− are consistent with a scenario where phytoplankton growth is CO2-limited. Daytime pCO2 undersaturation across seasons has been rarely reported, but this study indicated it occurs more often than recognized. The non-monotonic spatial patterns in productivity and carbonate system conditions across the study reservoirs indicate that localized influences from a heterogeneous urban landscape may help shape individual lake metabolism.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/20442041.2025.2544581","usgsCitation":"Patino, R., and Lehker, S., 2026, Year-round daytime pCO2 undersaturation in an instream series of urban reservoirs with a history of harmful algal blooms: Inland Waters, v. 16, no. 1, 2544581, 15 p., https://doi.org/10.1080/20442041.2025.2544581.","productDescription":"2544581, 15 p.","ipdsId":"IP-171218","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502565,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":496823,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Lubbock","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -101.93988097783505,\n 33.64162038185367\n ],\n [\n -101.93988097783505,\n 33.52159454590185\n ],\n [\n -101.77150820869511,\n 33.52159454590185\n ],\n [\n -101.77150820869511,\n 33.64162038185367\n ],\n [\n -101.93988097783505,\n 33.64162038185367\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lehker, Samantha","contributorId":362957,"corporation":false,"usgs":false,"family":"Lehker","given":"Samantha","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":950879,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70272053,"text":"70272053 - 2026 - Sedimentological and geochemical characterization of lacustrine deposits of the Babouri-Figuil basin, northern Cameroon: Implications for source rocks distribution and petroleum exploration","interactions":[],"lastModifiedDate":"2025-11-14T16:30:36.885339","indexId":"70272053","displayToPublicDate":"2025-10-21T08:35:22","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2147,"text":"Journal of African Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Sedimentological and geochemical characterization of lacustrine deposits of the Babouri-Figuil basin, northern Cameroon: Implications for source rocks distribution and petroleum exploration","docAbstract":"

The West and Central African Rift System (WCARS) refers to the series of Cretaceous rift basins where commercial hydrocarbon accumulations have been discovered. Some of the WCARS frontier basins are currently being investigated to increase our understanding of these basins in light of new commercial discoveries. The present study was performed in the Babouri-Figuil Basin (BFB), which is genetically related to the WCARS and constitutes an area of interest in terms of petroleum prospecting, where the distribution of petroleum source rocks and potential targets for petroleum exploration across the entire basin is poorly understood. For the current study, an integrated facies analysis along with organic and inorganic geochemical techniques were applied to the basin's Cretaceous deposits with the aim of reconstructing the paleodepositional environment, assessing factors that triggered the input of organic matter, and providing a spatial overview of the organic matter accumulation in the basin based on outcrop samples. An alluvial fan-lacustrine-braided river system is inferred from the facies analysis of the stratigraphic sequence consisting of conglomerate, sandstone, siltstone, limestone, marlstone, and claystone. Bulk analysis of organic matter reveals that black shale and massive claystone are the main prospective petroleum source rocks in the basin. Inorganic geochemical analyses reveal the influence of anoxic conditions, moderate to high primary productivity, and low terrigenous inputs in organic matter enrichment. The formations rich in organic matter are predominantly concentrated in the western and eastern parts of the basin which may represent areas with depressions, characterized by high accommodation space. In terms of the regional context of the WCARS rift basins, typical hydrocarbon exploration in the BFB may target basal-conglomerate, sandstone beds situated directly above or/and interbedded with the Lower Cretaceous source rocks, and the Upper Cretaceous sandstone beds. Basement rocks (granite, granodiorite, and gneisses) and oil shale deposits may represent potential unconventional hydrocarbon exploration. The current integrated study provides an insight that should guide future hydrocarbon exploration campaigns in the basin.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jafrearsci.2025.105894","usgsCitation":"Manga, W.G., Hackley, P.C., Bessong, M., Hatcherian, J.J., Ashukem, E.K., Guedala, A., Meying, A., and Samankassou, E., 2026, Sedimentological and geochemical characterization of lacustrine deposits of the Babouri-Figuil basin, northern Cameroon: Implications for source rocks distribution and petroleum exploration: Journal of African Earth Sciences, v. 233, 105894, 16 p., https://doi.org/10.1016/j.jafrearsci.2025.105894.","productDescription":"105894, 16 p.","ipdsId":"IP-171940","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":502413,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://archive-ouverte.unige.ch/unige:188567","text":"External Repository"},{"id":496494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Cameroon","otherGeospatial":"Babouri-Figuil basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 13.667,\n 9.85\n ],\n [\n 13.667,\n 9.6333\n ],\n [\n 14.0333,\n 9.6333\n ],\n [\n 14.0333,\n 9.85\n ],\n [\n 13.667,\n 9.85\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"233","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Manga, William Gaspard O.","contributorId":352997,"corporation":false,"usgs":false,"family":"Manga","given":"William","middleInitial":"Gaspard O.","affiliations":[{"id":84323,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon; School of Geology and Mining Engineering, Ngaoundere University P.O. Box 115 Meiganga, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":949924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bessong, Moïse","contributorId":352998,"corporation":false,"usgs":false,"family":"Bessong","given":"Moïse","affiliations":[{"id":84324,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon; Department of Earth Sciences, University of Geneva, 13, Rue des Maraîchers, 1205 Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":949925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":949926,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ashukem, Ethel K.","contributorId":362067,"corporation":false,"usgs":false,"family":"Ashukem","given":"Ethel","middleInitial":"K.","affiliations":[{"id":84325,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guedala, Alifa","contributorId":353000,"corporation":false,"usgs":false,"family":"Guedala","given":"Alifa","affiliations":[{"id":84325,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949928,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meying, Arsène","contributorId":353001,"corporation":false,"usgs":false,"family":"Meying","given":"Arsène","affiliations":[{"id":84328,"text":"School of Geology and Mining Engineering, Ngaoundere University P.O. Box 115 Meiganga, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949929,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Samankassou, Elias","contributorId":353002,"corporation":false,"usgs":false,"family":"Samankassou","given":"Elias","affiliations":[{"id":84329,"text":"Department of Earth Sciences, University of Geneva, 13, Rue des Maraîchers, 1205 Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":949930,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70272100,"text":"70272100 - 2026 - Guidelines for producing integrated 210Pb and 14C age-models","interactions":[],"lastModifiedDate":"2025-12-01T16:51:35.947878","indexId":"70272100","displayToPublicDate":"2025-10-17T08:05:40","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Guidelines for producing integrated 210Pb and 14C age-models","title":"Guidelines for producing integrated 210Pb and 14C age-models","docAbstract":"

Accurate reconstructions of past environmental changes are crucial in paleoecological research and require reliable chronologies of sedimentary archives. Establishing robust age-models and obtaining the most appropriate proxies for analysis is a complex scientific endeavor, requiring extensive resources and collaboration among specialists, including radiochronologists. Radiometric dating methods, such as 210Pb and radiocarbon (14C), are frequently employed to establish chronologies in aquatic sedimentary deposits and peat bogs. In this study, we review key aspects of sampling, analysis, and the principles underlying 210Pb and 14C age-models, focusing on methods for developing robust joint chronologies for paleoenvironmental research. Drawing largely from the authors' experiences and group discussions during and after a scientific workshop in 2022, we discuss important considerations for site selection, sampling strategies, and radiometric dating to construct integrated 210Pb and 14C age-models. Using expert consensus, this group – called Paleostats – aims to provide a set of best practices for other geochronologists with this methods paper. Among our conclusions, we emphasize the importance of accounting for site-specific factors such as prior information on sedimentation rates to establish appropriate sampling and analytical strategies. The use of appropriate coring devices can minimize disturbance to sediments and ensure the core surface remains intact and preserved until sectioning. Where excess 210Pb is expected, sectioning at intervals of ≤1 cm provides an adequate sampling resolution for 210Pb dating. Exceptions are possible, allowing for ~2–3 cm sections in areas with confirmed high sedimentation rates (e.g., > 1 cm yr−1). Recovering deeper core sections for 14C dating with sufficient overlap allows for accounting errors in depth estimates made in the field. Special attention is advised during time intervals where validation proxies, such as the human-made radionuclides 137Cs or post-bomb 14C, are expected, and to determine the depth of secular equilibrium between 210Pb and 226Ra. Radiocarbon analyses are commonly performed by accelerator mass spectrometry, and age models are constructed mainly using Bayesian statistics with Markov Chain Monte Carlo techniques (e.g., Bacon). A Bayesian approach (Plum) is now available for producing 210Pb age-models, which infers the 210Pbex flux, eliminates the need for selecting an equilibrium depth, and allows dating cores with incomplete 210Pbex inventory. Plum offers improved chronologies by integrating raw 210Pb and 14C data, and these age-models can be enriched with other dating methodologies, such as identifying tephras and other well-recorded historical events. Harmonized reporting would contribute to making radiometric age-models reproducible, which would benefit from an international effort. Using 210Pb and 14C to produce integrated age-models may yield better insights into the interplay between natural and recent anthropogenic forcings on ecosystems. This can enhance our understanding of environmental processes and their impacts on climate change, ultimately supporting science-based assessments and decisions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2025.105301","usgsCitation":"Sanchez-Cabeza, J., Aquino-López, M.A., Blaauw, M., Ruiz-Fernández, A.C., Jupin, J., Anderson, L., Knight, C.A., Champagne, M.R., Sanderson, N.K., Goring, S., and Christen, J.A., 2026, Guidelines for producing integrated 210Pb and 14C age-models: Earth-Science Reviews, v. 272, 105301, 17 p., https://doi.org/10.1016/j.earscirev.2025.105301.","productDescription":"105301, 17 p.","ipdsId":"IP-170497","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":500562,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.earscirev.2025.105301","text":"Publisher Index Page"},{"id":496477,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"272","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sanchez-Cabeza, Joan-Albert","contributorId":346065,"corporation":false,"usgs":false,"family":"Sanchez-Cabeza","given":"Joan-Albert","email":"","affiliations":[{"id":82761,"text":"CIMAT","active":true,"usgs":false}],"preferred":false,"id":950055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aquino-López, Marco A. 0000-0002-5076-7205","orcid":"https://orcid.org/0000-0002-5076-7205","contributorId":362121,"corporation":false,"usgs":false,"family":"Aquino-López","given":"Marco","middleInitial":"A.","affiliations":[{"id":86469,"text":"Department of Geography, University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":950056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blaauw, Maarten","contributorId":303144,"corporation":false,"usgs":false,"family":"Blaauw","given":"Maarten","affiliations":[{"id":65675,"text":"Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK","active":true,"usgs":false}],"preferred":false,"id":950057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruiz-Fernández, Ana Carolina 0000-0002-2515-1249","orcid":"https://orcid.org/0000-0002-2515-1249","contributorId":362122,"corporation":false,"usgs":false,"family":"Ruiz-Fernández","given":"Ana","middleInitial":"Carolina","affiliations":[{"id":86470,"text":"1 Unidad Académica Mazatlán, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":950058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jupin, Johanna 0000-0002-3695-9366","orcid":"https://orcid.org/0000-0002-3695-9366","contributorId":362123,"corporation":false,"usgs":false,"family":"Jupin","given":"Johanna","affiliations":[{"id":86472,"text":"Universidad Nacional Autónoma de México, IRD, CNRS, SU, MNHN, IPSL, LOCEAN, Laboratoire d’Océanographie et du Climat: Expérimentation et Approches Numériques, Centre IRD France Nord","active":true,"usgs":false}],"preferred":false,"id":950059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Lysanna 0000-0001-5650-9744 landerson@usgs.gov","orcid":"https://orcid.org/0000-0001-5650-9744","contributorId":5339,"corporation":false,"usgs":true,"family":"Anderson","given":"Lysanna","email":"landerson@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950060,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knight, Clarke Alexandra 0000-0003-0002-6959","orcid":"https://orcid.org/0000-0003-0002-6959","contributorId":288487,"corporation":false,"usgs":true,"family":"Knight","given":"Clarke","email":"","middleInitial":"Alexandra","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950061,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Champagne, Marie Rhondelle 0000-0001-8236-3910","orcid":"https://orcid.org/0000-0001-8236-3910","contributorId":248214,"corporation":false,"usgs":true,"family":"Champagne","given":"Marie","email":"","middleInitial":"Rhondelle","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950062,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sanderson, Nicole K.","contributorId":220279,"corporation":false,"usgs":false,"family":"Sanderson","given":"Nicole","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":950063,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Goring, Simon","contributorId":167180,"corporation":false,"usgs":false,"family":"Goring","given":"Simon","affiliations":[],"preferred":false,"id":950064,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Christen, J. Andrés 0000-0002-5795-4345","orcid":"https://orcid.org/0000-0002-5795-4345","contributorId":362124,"corporation":false,"usgs":false,"family":"Christen","given":"J.","middleInitial":"Andrés","affiliations":[{"id":86474,"text":"Centro de Investigación en Matemáticas, Jalisco S/N","active":true,"usgs":false}],"preferred":false,"id":950065,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70272624,"text":"70272624 - 2026 - Subduction zone earthquake catalog separation tool: Implementation in the USGS 2025 Puerto Rico and U.S. Virgin Islands National Seismic Hazard Model","interactions":[],"lastModifiedDate":"2026-02-24T16:16:52.417973","indexId":"70272624","displayToPublicDate":"2025-10-15T09:02:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Subduction zone earthquake catalog separation tool: Implementation in the USGS 2025 Puerto Rico and U.S. Virgin Islands National Seismic Hazard Model","docAbstract":"

The U.S. Geological Survey (USGS) periodically releases updates to National Seismic Hazard Model (NSHM) for the United States and its territories leveraging current scientific knowledge and methodologies to guide public policy, building codes, and risk assessments regarding potential ground shaking due to earthquakes that may result in infrastructure damage. In subduction zones, there is a need to separate the earthquake catalog into tectonic regimes to create specific seismicity models for which the most appropriate ground‐motion models are then applied. Here, we describe newly developed methods and software, called CatSep, that classifies subduction zone events into three primary tectonic regimes: crustal, interface, and intraslab. This method incorporates information about the location of the earthquake relative to the subducting slab, the depth of the Mohorovičić discontinuity, and the earthquake’s moment tensor. Applying this method is a first step in the NSHM workflow for regions covering U.S. subduction zones. Results using this subduction zone earthquake catalog separation tool for the 2025 Puerto Rico and U.S. Virgin Islands NSHM earthquake catalog are presented and analyzed.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250078","usgsCitation":"Haynie, K.L., Thompson, E.M., Hearne, M., Hayes, G., Shelly, D.R., Shumway, A., Llenos, A.L., Michael, A.J., and Powers, P.M., 2025, Subduction zone earthquake catalog separation tool: Implementation in the USGS 2025 Puerto Rico and U.S. Virgin Islands National Seismic Hazard Model: Seismological Research Letters, https://doi.org/10.1785/0220250078.","productDescription":"10 p.","startPage":"1191","endPage":"1200","ipdsId":"IP-176591","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":496902,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496938,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250078","text":"Publisher Index Page"}],"country":"United States","otherGeospatial":"Puerto Rico, U.S. Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -64.54540269325636,\n 17.747116990136433\n ],\n [\n -64.6499913339632,\n 18.348094173225988\n ],\n [\n -64.85462128317253,\n 18.421453174689816\n ],\n [\n -67.97409117555974,\n 18.615487541076746\n ],\n [\n -68.00592250099288,\n 17.851029080316096\n ],\n [\n -65.6958777410323,\n 17.902962398417586\n ],\n [\n -64.80914796112633,\n 17.543447949586422\n ],\n [\n -64.54540269325636,\n 17.747116990136433\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"97","issue":"2A","noUsgsAuthors":false,"publicationDate":"2025-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Haynie, Kirstie Lafon 0000-0001-9930-6736","orcid":"https://orcid.org/0000-0001-9930-6736","contributorId":289894,"corporation":false,"usgs":true,"family":"Haynie","given":"Kirstie","email":"","middleInitial":"Lafon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Gavin P. 0000-0003-3323-0112","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":6157,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":951011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shumway, Allison M. 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951012,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951013,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951014,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Powers, Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951015,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70272605,"text":"70272605 - 2026 - Rallus elegans (King Rail) occupancy is stable, but habitat is in short supply in the Arkansas Delta","interactions":[],"lastModifiedDate":"2026-03-09T14:35:28.484512","indexId":"70272605","displayToPublicDate":"2025-10-13T08:49:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rallus elegans (King Rail) occupancy is stable, but habitat is in short supply in the Arkansas Delta","title":"Rallus elegans (King Rail) occupancy is stable, but habitat is in short supply in the Arkansas Delta","docAbstract":"

Secretive marsh birds experienced precipitous declines due to losses in wetland habitat across North America. However, from 1998 to 2004, wetland area increased, and between 2009 and 2019, the extent of emergent wetlands did not significantly decrease. This raises the question: how did secretive marsh birds, which are tied to emergent wetlands, respond to this period of relative stability in wetland area? Here, we use Rallus elegans (King Rail) occurrence data collected in 2005, 2006, 2012, and 2017 in the Arkansas Delta in the United States to test the hypothesis that a period of stability in wetland vegetation is linked to stable Rallus elegans occupancy. Specifically, we sought to (1) quantify relationships between R. elegans occupancy and land cover, (2) quantify temporal trends in R. elegans occupancy, and (3) characterize changes in land cover types linked to R. elegans occupancy. We developed spatial multi-season occupancy models, and our top model contained the categorical year effect but showed no trend in R. elegans occupancy between 2005 and 2017, instead showing high interannual variation in occupancy. We found strong associations between R. elegans occupancy and emergent wetlands (positive) and elevation (negative). From 2005 to 2017 in the ∼3.7 million ha Arkansas Delta, rice crop cover decreased by 294,750 ha, emergent wetlands increased by 6,719 ha, and all other cover types increased or decreased by < 7,500 ha. Thus, although emergent wetlands did increase, the total area of emergent wetlands in 2016 (22,262 ha) comprised <1% of the Arkansas Delta. Our results support the hypothesis that R. elegans occupancy stabilized during a time when the main habitat type R. elegans depend on, emergent wetlands, also stabilized in spatial extent. There is an opportunity to turn the tide in R. elegans declines by conserving extant emergent wetlands and creating new emergent wetlands.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf061","usgsCitation":"Roberts, C.P., Novobilsky, J., Akpejeluh, P., Berry, L.L., Budd, M.J., Ferrara, M.C., LaBrie, L.A., Luther, L., Karki, V., Krementz, D., Rowe, K., Shaw, M., Wilson, K., and Fournier, A.M., 2026, Rallus elegans (King Rail) occupancy is stable, but habitat is in short supply in the Arkansas Delta: Ornithological Applications, v. 128, no. 1, p. 1-9, https://doi.org/10.1093/ornithapp/duaf061.","productDescription":"9 p.","startPage":"1","endPage":"9","ipdsId":"IP-174522","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496829,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Arkansas Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n 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Jessica","contributorId":362980,"corporation":false,"usgs":false,"family":"Novobilsky","given":"Jessica","affiliations":[{"id":85969,"text":"Arkansas Natural Heritage Commission","active":true,"usgs":false}],"preferred":false,"id":950895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akpejeluh, Paul","contributorId":362982,"corporation":false,"usgs":false,"family":"Akpejeluh","given":"Paul","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":950896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, Lauren L.","contributorId":362983,"corporation":false,"usgs":false,"family":"Berry","given":"Lauren","middleInitial":"L.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":950897,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Budd, Michael J.","contributorId":362985,"corporation":false,"usgs":false,"family":"Budd","given":"Michael","middleInitial":"J.","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":950898,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferrara, Michael C.","contributorId":362987,"corporation":false,"usgs":false,"family":"Ferrara","given":"Michael","middleInitial":"C.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":950899,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LaBrie, Lindsey A.","contributorId":362990,"corporation":false,"usgs":false,"family":"LaBrie","given":"Lindsey","middleInitial":"A.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":950900,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Luther, Lauren","contributorId":362994,"corporation":false,"usgs":false,"family":"Luther","given":"Lauren","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":950901,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karki, Vinita","contributorId":362998,"corporation":false,"usgs":false,"family":"Karki","given":"Vinita","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":950902,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Krementz, David","contributorId":340128,"corporation":false,"usgs":false,"family":"Krementz","given":"David","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":950903,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rowe, Karen","contributorId":341072,"corporation":false,"usgs":false,"family":"Rowe","given":"Karen","affiliations":[{"id":81696,"text":"Arkansas Game & Fish Commission","active":true,"usgs":false}],"preferred":false,"id":950904,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shaw, Michael","contributorId":341402,"corporation":false,"usgs":false,"family":"Shaw","given":"Michael","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":950905,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wilson, Kenneth","contributorId":175045,"corporation":false,"usgs":false,"family":"Wilson","given":"Kenneth","email":"","affiliations":[],"preferred":false,"id":950906,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fournier, Auriel M.V.","contributorId":363004,"corporation":false,"usgs":false,"family":"Fournier","given":"Auriel","middleInitial":"M.V.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":950907,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70272805,"text":"70272805 - 2026 - SURF: An automated method for building nonplanar 3D fault models from earthquake hypocenters","interactions":[],"lastModifiedDate":"2026-02-24T16:18:42.365408","indexId":"70272805","displayToPublicDate":"2025-10-08T08:06:07","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"SURF: An automated method for building nonplanar 3D fault models from earthquake hypocenters","docAbstract":"

Accurately characterizing 3D fault geometry is vital for improving our understanding of earthquake behavior and informing the development of seismic hazard models. Despite their importance, subsurface fault structures tend to be poorly constrained because of limitations in observational data. Improvements to the seismic networks and earthquake detection algorithms have increased the precision and volume of earthquake catalogs, which help illuminate detailed subsurface fault structure and provide the most direct information available about fault geometries at depth. We present a Python package to automate generating 3D fault geometries directly from hypocentral seismicity patterns. This method begins with clustering events based on their spatial density, identifying coherent patterns. Nearby clusters are then merged based on the similarity of their orientations. We fit nonplanar surfaces using support vector regression to balance surface accuracy with minimal deviations from planarity. The fault models are output as quadrilateral meshes at user‐defined resolution. In the process of generating the 3D fault surfaces, we compute the spatial density of seismicity around the surface and the planarity as quantitative metrics of the model outputs.

As a proof of concept, we apply this approach to the San Andreas–Calaveras fault junction region and the 2019 Ridgecrest earthquake sequence, both in California, which contain complex subparallel faults well defined at the Earth’s surface and abundant microseismicity. These case studies demonstrate the method’s ability to model complex fault structures, including long continuous fault surfaces, crossing faults, variably dipping segments, and subparallel faults. We test the method on both standard network catalogs and double‐difference relocated catalogs. We find that our seismicity‐based fault model results align with published 3D models that incorporate additional constraints and interpretations (Plesch et al., 2020; Aagaard and Hirakawa, 2021). This workflow provides a low‐user‐input solution for estimating fault geometries at depth from earthquake catalogs.

","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0220250126","usgsCitation":"Alongi, T., Elliott, A., Skoumal, R.J., Shelly, D.R., and Hatem, A.E., 2025, SURF: An automated method for building nonplanar 3D fault models from earthquake hypocenters: Seismological Research Letters, 17 p., https://doi.org/10.1785/0220250126.","productDescription":"17 p.","startPage":"1174","endPage":"1190","ipdsId":"IP-178312","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":497278,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497408,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250126","text":"Publisher Index Page"}],"country":"United States","state":"California","otherGeospatial":"San Juan Bautista region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.25291945869327,\n 37.524171519157804\n ],\n [\n -122.25291945869327,\n 36.474162123504954\n ],\n [\n -120.47224721181419,\n 36.474162123504954\n ],\n [\n -120.47224721181419,\n 37.524171519157804\n ],\n [\n -122.25291945869327,\n 37.524171519157804\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"97","issue":"2A","noUsgsAuthors":false,"publicationDate":"2025-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Alongi, Travis Vincent 0000-0002-0865-8064","orcid":"https://orcid.org/0000-0002-0865-8064","contributorId":335029,"corporation":false,"usgs":true,"family":"Alongi","given":"Travis Vincent","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":951821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Austin J.","contributorId":191820,"corporation":false,"usgs":false,"family":"Elliott","given":"Austin J.","affiliations":[],"preferred":false,"id":951822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skoumal, Robert J. 0000-0002-5627-6239 rskoumal@usgs.gov","orcid":"https://orcid.org/0000-0002-5627-6239","contributorId":191213,"corporation":false,"usgs":true,"family":"Skoumal","given":"Robert","email":"rskoumal@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":951824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951825,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273095,"text":"70273095 - 2026 - Synthesis of observed field salinity ranges for oyster and seagrass species in the U.S.","interactions":[],"lastModifiedDate":"2025-12-15T15:34:53.336829","indexId":"70273095","displayToPublicDate":"2025-10-06T09:29:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Synthesis of observed field salinity ranges for oyster and seagrass species in the U.S.","docAbstract":"

Oyster and seagrass are important sessile, habitat-forming species that may be impacted by changes in salinity regimes from anthropogenic or climatic drivers. While salinity tolerance literature is focused on controlled experiments, observed field salinity ranges of species are more disparate. The salinity ranges in which organisms are observed in the field may not align exactly with their experimentally (wet lab) determined physiological salinity tolerances, since other critical factors control species occurrence. We performed a systematic review to synthesize observed practical salinity ranges for 10 oyster and 12 seagrass species in coastal waters of the United States. Of initially returned search results for oysters and seagrass, only 11.4% and 6.5% met our review inclusion criteria, respectively, corresponding to 3 oyster species and 5 seagrass species. The majority (95%) of the 57 reviewed studies were along the Atlantic and Gulf coasts, with 68% focusing on Crassostrea virginica. Shorter studies following episodic events were more common than long-term monitoring. Observed field salinity ranges were as follows (ppt): Crassostrea virginica (0.1 – 42.8, mean: 19.6), Ostrea lurida (1.7 – 32.5, mean: 27.8), Thalassia testudinum (0 – 65, mean 31.8), Halodule wrightii (<0.5 – 68.7, mean: 18.5), Syringodium filiforme (13.7 – 68.7, mean: 30.4), Ruppia maritima (0 – 29.4, mean: 3.8), and Zostera marina (19.7 – 51.2, mean: 28.9). Place-based examples highlight how reported overlapping salinity ranges for oyster and seagrass species can be used to expand existing habitat suitability models, inform restoration, and provide considerations for guiding holistic management of freshwater inflows to estuaries.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s12237-025-01612-2","usgsCitation":"Lee, C.I., Yurek, S., Eggleston, D.B., and Nelson, N.G., 2026, Synthesis of observed field salinity ranges for oyster and seagrass species in the U.S.: Estuaries and Coasts, v. 49, no. 1, 6, 17 p., https://doi.org/10.1007/s12237-025-01612-2.","productDescription":"6, 17 p.","ipdsId":"IP-177880","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":497720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-025-01612-2","text":"Publisher Index Page"},{"id":497521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.05180427924824,\n 34.156293622797904\n ],\n [\n -98.26153628209767,\n 34.156293622797904\n ],\n [\n -98.26153628209767,\n 25.470255691287306\n ],\n [\n -78.05180427924824,\n 25.470255691287306\n ],\n [\n -78.05180427924824,\n 34.156293622797904\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.98279743473127,\n 35.55163183808813\n ],\n [\n -74.4305365468822,\n 34.382270772967786\n ],\n [\n -70.46039450615038,\n 41.242867006876565\n ],\n [\n -74.81827385805595,\n 42.09233788545146\n ],\n [\n -77.7858196983815,\n 39.46530547564973\n ],\n [\n -77.98279743473127,\n 35.55163183808813\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.1588253458508,\n 32.548738437508206\n ],\n [\n -115.0405277724422,\n 33.05744888108542\n ],\n [\n -121.58759877508766,\n 39.53683706212064\n ],\n [\n -121.42045953055285,\n 49.11049029349127\n ],\n [\n -125.13243666711807,\n 47.934583584910314\n ],\n [\n -125.08693014934374,\n 39.70573702919967\n ],\n [\n -118.1588253458508,\n 32.548738437508206\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, Charlotte I.","contributorId":364189,"corporation":false,"usgs":false,"family":"Lee","given":"Charlotte","middleInitial":"I.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":952305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216705,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eggleston, David B.","contributorId":364190,"corporation":false,"usgs":false,"family":"Eggleston","given":"David","middleInitial":"B.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":952307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Natalie G. 0000-0002-3258-7622","orcid":"https://orcid.org/0000-0002-3258-7622","contributorId":364191,"corporation":false,"usgs":false,"family":"Nelson","given":"Natalie","middleInitial":"G.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":952308,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272094,"text":"70272094 - 2026 - Late Pleistocene kinematics of the Great Southern Puerto Rico Fault Zone, Puerto Rico","interactions":[],"lastModifiedDate":"2026-02-24T16:10:03.057498","indexId":"70272094","displayToPublicDate":"2025-10-02T08:20:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Late Pleistocene kinematics of the Great Southern Puerto Rico Fault Zone, Puerto Rico","docAbstract":"

Several onshore faults in southern Puerto Rico have recently been recognized as Quaternary active. However, the kinematics of these faults, particularly any lateral component, remain largely unconstrained. It is difficult to characterize low strain‐rate faults, partially due to extensive erosional and anthropogenic landscape modification, steep relief, and frequent landsliding, limiting the preservation of geomorphic features that could serve as recorders of fault motion. Here, we constrain the kinematics along sections of the Great Southern Puerto Rico Fault Zone (GSPRFZ) on the southern coastal plain of Puerto Rico. We integrate ∼1‐m‐resolution light detection and ranging (lidar)‐derived topography, historical air photos, and field mapping to identify a series of ∼50–1200‐m‐long fault scarps and lineaments that trend northwest–southeast and extend for ≥25 km across the southern coastal plain. Fault scarps are primarily south facing, cut across topography, and displace Quaternary deposits and landforms. We document multiple offset geomorphic markers, including channel thalwegs and interfluves formed in deposits previously mapped as Quaternary piedmont alluvial plain. We observe both vertical (south‐side‐down) and right‐lateral meter‐scale displacements, which indicate that the GSPRFZ accommodates right‐lateral oblique motion in the late Pleistocene, consistent with northeast motion of the Puerto Rico and the Virgin Islands microplate away from the Hispaniola block.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250116","usgsCitation":"Lynch, E.M., Jobe, J.A., Briggs, R.W., Tan, M.M., Ortega Díaz, V., and Hughes, K.S., 2025, Late Pleistocene kinematics of the Great Southern Puerto Rico Fault Zone, Puerto Rico: Seismological Research Letters, 20 p., https://doi.org/10.1785/0220250116.","productDescription":"20 p.","startPage":"11366","endPage":"1155","ipdsId":"IP-175725","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":496485,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.27964752849539,\n 18.568005378001303\n ],\n [\n -67.27964752849539,\n 17.86172011237666\n ],\n [\n -65.21697033989997,\n 17.86172011237666\n ],\n [\n -65.21697033989997,\n 18.568005378001303\n ],\n [\n -67.27964752849539,\n 18.568005378001303\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"97","issue":"2A","noUsgsAuthors":false,"publicationDate":"2025-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, Emerson Madelyn 0000-0003-1419-1373","orcid":"https://orcid.org/0000-0003-1419-1373","contributorId":360726,"corporation":false,"usgs":true,"family":"Lynch","given":"Emerson","middleInitial":"Madelyn","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":950043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson Jobe, Jessica A. 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Thompson Jobe","given":"Jessica","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tan, M. Morow 0000-0003-2959-5733","orcid":"https://orcid.org/0000-0003-2959-5733","contributorId":360727,"corporation":false,"usgs":false,"family":"Tan","given":"M.","middleInitial":"Morow","affiliations":[{"id":86089,"text":"University of Colorado Boulder Department of Geological Sciences","active":true,"usgs":false}],"preferred":false,"id":950046,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ortega Díaz, Victor","contributorId":360728,"corporation":false,"usgs":false,"family":"Ortega Díaz","given":"Victor","affiliations":[{"id":62735,"text":"University of Puerto Rico Mayagüez","active":true,"usgs":false}],"preferred":false,"id":950047,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hughes, K. Stephen 0000-0001-9820-3188","orcid":"https://orcid.org/0000-0001-9820-3188","contributorId":360729,"corporation":false,"usgs":false,"family":"Hughes","given":"K.","middleInitial":"Stephen","affiliations":[{"id":62735,"text":"University of Puerto Rico Mayagüez","active":true,"usgs":false}],"preferred":false,"id":950048,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272184,"text":"70272184 - 2026 - Earthquake magnitude and source parameter estimation with a distributed acoustic sensing dataset in the Gorda subduction zone","interactions":[],"lastModifiedDate":"2026-02-09T16:06:00.870523","indexId":"70272184","displayToPublicDate":"2025-10-01T10:17:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake magnitude and source parameter estimation with a distributed acoustic sensing dataset in the Gorda subduction zone","docAbstract":"

Distributed acoustic sensing (DAS) systems offer a cost‐effective way to create large‐scale strainmeter arrays for seismological applications using fiber‐optic cables. DAS‐based strain measurements are known to be influenced by various factors, bringing into question their general reliability for accurate earthquake characterization. A 15‐km‐long DAS deployment in northern California was operational within 3 days of the 2022 Mw 6.4 Ferndale earthquake and ran continuously throughout the aftershock sequence. We utilize these aftershock data to validate DAS‐based strain measurements in two ways. We first test the accuracy of DAS‐based magnitude estimates from peak dynamic strains by comparing them with magnitude and attenuation scaling relations derived independently from traditional borehole strainmeter (BSM) data. We demonstrate that DAS‐based magnitudes are comparable to BSM‐based magnitudes when corrections for variations in site response along the fiber‐optic cable are properly made. Magnitude errors are spatially correlated, potentially because of factors such as finite‐fault effects (e.g., stress drop) or more complex, unmodeled path attenuation or because of wave propagation effects in heterogeneous media. We then apply more advanced source characterization methodology to the DAS data using a time‐domain empirical Green’s function (EGF) deconvolution approach to measure details of the moment rate history. The EGF approach using DAS data depends on careful treatment of distorting factors such as anthropogenic sources of noise and optical phase wrapping but successfully isolates source spectra for moderate‐magnitude earthquakes: source spectral ratios obtained from DAS data, broadband seismometer data, and BSM data in the same region show consistent results, revealing differences in directivity and spectral shape among earthquakes. Although further research is needed to refine source‐time‐function estimation techniques for DAS data, particularly for larger magnitude events, these case studies demonstrate the clear potential of DAS for earthquake source characterization.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250077","usgsCitation":"Barbour, A.J., McGuire, J.J., Karrenbach, M., McPherson, R., Hemphill-Haley, M., and Stewart, C., 2026, Earthquake magnitude and source parameter estimation with a distributed acoustic sensing dataset in the Gorda subduction zone: Bulletin of the Seismological Society of America, v. 116, no. 1, p. 355-374, https://doi.org/10.1785/0120250077.","productDescription":"20 p.","startPage":"355","endPage":"374","ipdsId":"IP-176772","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":496595,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496738,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120250077","text":"Publisher Index Page"}],"country":"United States","state":"California","county":"Humboldt County","otherGeospatial":"Gorda subduction zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.5,\n 41.5\n ],\n [\n -125.5,\n 39.5\n ],\n [\n -123.5,\n 39.5\n ],\n [\n -123.5,\n 41.5\n ],\n [\n -125.5,\n 41.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"116","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":950360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":220939,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":950361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karrenbach, Martin","contributorId":353682,"corporation":false,"usgs":false,"family":"Karrenbach","given":"Martin","affiliations":[{"id":84462,"text":"Seismics Unuusal","active":true,"usgs":false}],"preferred":false,"id":950362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McPherson, Robert","contributorId":336975,"corporation":false,"usgs":false,"family":"McPherson","given":"Robert","affiliations":[{"id":63943,"text":"Cal Poly Humboldt","active":true,"usgs":false}],"preferred":false,"id":950363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hemphill-Haley, Mark","contributorId":295931,"corporation":false,"usgs":false,"family":"Hemphill-Haley","given":"Mark","affiliations":[{"id":63943,"text":"Cal Poly Humboldt","active":true,"usgs":false}],"preferred":false,"id":950364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Connie","contributorId":361970,"corporation":false,"usgs":false,"family":"Stewart","given":"Connie","affiliations":[{"id":65879,"text":"California State Polytechnic University, Humboldt","active":true,"usgs":false}],"preferred":false,"id":950365,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273995,"text":"70273995 - 2026 - Laboratory transmission of adult salmon enteritis and associated pathogens in juvenile Chinook salmon (Oncorhynchus tshawytscha)","interactions":[],"lastModifiedDate":"2026-03-09T14:55:01.917538","indexId":"70273995","displayToPublicDate":"2025-09-29T11:48:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory transmission of adult salmon enteritis and associated pathogens in juvenile Chinook salmon (Oncorhynchus tshawytscha)","docAbstract":"

Adult salmon enteritis (ASE), characterised by severe ulcerative enteritis, has been linked to prespawn mortality (PSM) in spring Chinook salmon (Oncorhynchus tshawytscha) in certain rivers in Oregon, USA. Catastrophic losses of spring Chinook salmon have resulted from PSM, a significant threat to their population stability. Understanding the causes of ASE is therefore critical for mitigating PSM and supporting conservation. This study investigates the potential infectious aetiology of ASE using a juvenile Chinook salmon model. Fish were immunocompromised with dexamethasone implants, fasted, and exposed to intestinal tissues from ASE-affected adult Chinook. Histopathology of recipient fish revealed mid-intestinal lesions consistent with ASE. The microsporidium Enterocytozoon schreckii, which is observed in ASE-affected adults from rivers, was transmitted for the first time to juvenile Chinook Salmon, making E. schreckii a potential new pathogen of juvenile salmon. Additionally, intranuclear inclusions were identified in enterocytes by histopathology and viral particles were detected by electron microscopy in recipient fish. The study demonstrates that intestinal lesions consistent with ASE can be experimentally induced in juvenile Chinook salmon through oral exposure to infected tissues, supporting an infectious aetiology. Further research is needed to isolate specific pathogens, including viruses and E. schreckii, and to elucidate their roles in ASE development.

","language":"English","publisher":"Wiley","doi":"10.1111/jfd.70063","usgsCitation":"Polley, T., Couch, C.E., Leong, C., Peterson, J.T., Weiss, L.M., Takvorian, P.M., and Kent, M.L., 2026, Laboratory transmission of adult salmon enteritis and associated pathogens in juvenile Chinook salmon (Oncorhynchus tshawytscha): Journal of Fish Diseases, v. 49, no. 4, e70063, https://doi.org/10.1111/jfd.70063.","productDescription":"e70063","ipdsId":"IP-176950","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500365,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.0513003030479,\n 46.27312980016177\n ],\n [\n -124.8201305753235,\n 42.02283831436401\n ],\n [\n -117.06920092722393,\n 42.02283831436401\n ],\n [\n -116.91041886924464,\n 44.23771174691564\n ],\n [\n -116.45837265782083,\n 45.829798206918255\n ],\n [\n -117.06194688328284,\n 46.00978563520533\n ],\n [\n -124.0513003030479,\n 46.27312980016177\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Polley, Tamsen","contributorId":366582,"corporation":false,"usgs":false,"family":"Polley","given":"Tamsen","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":956068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couch, Claire E. 0000-0003-4983-3719","orcid":"https://orcid.org/0000-0003-4983-3719","contributorId":359728,"corporation":false,"usgs":true,"family":"Couch","given":"Claire","middleInitial":"E.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":956069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leong, Connor","contributorId":366583,"corporation":false,"usgs":false,"family":"Leong","given":"Connor","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":956070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weiss, Louis M.","contributorId":366584,"corporation":false,"usgs":false,"family":"Weiss","given":"Louis","middleInitial":"M.","affiliations":[{"id":87497,"text":"Albert Einstein College of Medicine","active":true,"usgs":false}],"preferred":false,"id":956072,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Takvorian, Peter M.","contributorId":366585,"corporation":false,"usgs":false,"family":"Takvorian","given":"Peter","middleInitial":"M.","affiliations":[{"id":87497,"text":"Albert Einstein College of Medicine","active":true,"usgs":false}],"preferred":false,"id":956073,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kent, Michael L.","contributorId":366586,"corporation":false,"usgs":false,"family":"Kent","given":"Michael","middleInitial":"L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":956074,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272302,"text":"70272302 - 2026 - An approach to modeling abundance of marine wildlife over space and time using unstructured aerial surveys","interactions":[],"lastModifiedDate":"2026-01-06T14:14:50.268483","indexId":"70272302","displayToPublicDate":"2025-09-29T09:44:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"An approach to modeling abundance of marine wildlife over space and time using unstructured aerial surveys","docAbstract":"

Estimating spatial and temporal patterns in abundance is often a goal of ecological studies and can be useful for informing management decisions, such as determining the optimal placement of wildlife protection zones. However, estimating abundance can be difficult in practice, especially over large areas, because of imperfect detection, where individuals are present but not detected because of either availability or observer error. Several methods for estimating abundance that account for imperfect detection exist but can be logistically challenging to implement. We present a simpler approach to some of the more commonly used techniques for estimating the abundance of marine wildlife over space and time from unstructured aerial surveys. This approach combines a spatial model for count data with auxiliary information on detection probability obtained from small-scale or previous studies. We employ generalized linear models and generalized additive models with spatial habitat covariates to illustrate this approach using maximum-likelihood with free, open-source statistical software. This framework is intended to be accessible and flexible, requiring lower survey costs and less computation time than other alternatives for estimating abundance. Indeed, our simulation results show that this approach can reduce computation times, while appropriately characterizing uncertainty, compared to a Bayesian approach. We also present R code for our approach using an example of estimating Florida manatee (Trichechus manatus latirostris) abundance in Indian River County in Florida, USA. This approach could be applied to other study systems and marine wildlife species using unstructured aerial surveys.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70123","usgsCitation":"Gowan, T., Moore, J., Edwards, H., Goode, A.B., and Martin, J., 2026, An approach to modeling abundance of marine wildlife over space and time using unstructured aerial surveys: Journal of Wildlife Management, v. 90, no. 1, e70123, 13 p., https://doi.org/10.1002/jwmg.70123.","productDescription":"e70123, 13 p.","ipdsId":"IP-162997","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496688,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.89073741234508,\n 28.075579800033395\n ],\n [\n -80.90350757932309,\n 27.9850763978486\n ],\n [\n -80.87434903138963,\n 27.904913353151365\n ],\n [\n -80.52338227560871,\n 27.811207406010766\n ],\n [\n -80.39184955573482,\n 27.54017953909647\n ],\n [\n -80.29735032009685,\n 27.542444169405414\n ],\n [\n -80.51188912532828,\n 28.08158882317049\n ],\n [\n -80.89073741234508,\n 28.075579800033395\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"90","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Gowan, Timothy A.","contributorId":335405,"corporation":false,"usgs":false,"family":"Gowan","given":"Timothy A.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":950728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Jennifer","contributorId":328646,"corporation":false,"usgs":false,"family":"Moore","given":"Jennifer","affiliations":[{"id":78438,"text":"Moore Ecological Analysis and Management, LLC","active":true,"usgs":false}],"preferred":false,"id":950729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Holly","contributorId":211646,"corporation":false,"usgs":false,"family":"Edwards","given":"Holly","affiliations":[{"id":35758,"text":"FWC","active":true,"usgs":false}],"preferred":false,"id":950730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goode, Ashley B.C.","contributorId":332463,"corporation":false,"usgs":false,"family":"Goode","given":"Ashley","middleInitial":"B.C.","affiliations":[{"id":33268,"text":"USDA-ARS Aquatic Weed Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":950731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":213876,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":950732,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274008,"text":"70274008 - 2026 - Integrated species distribution model using historical data shows decline in a common semi-aquatic mammal","interactions":[],"lastModifiedDate":"2026-05-07T15:44:24.860787","indexId":"70274008","displayToPublicDate":"2025-09-23T08:54:13","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Integrated species distribution model using historical data shows decline in a common semi-aquatic mammal","docAbstract":"

Effective conservation requires an understanding of drivers of a species' distribution as well as long-term changes in their distribution. In recent decades, advances in data collection and analysis have allowed researchers to integrate a wide range of information to model species distributions, particularly by allowing presence-only data and detection-nondetection data to be formally combined in integrated species distribution models (ISDMs). However, these models are rarely used to investigate long-term trends, which are important in evaluating a species' status. Here, we use historical presence-only data of river otters (Lontra canadensis; 366 latrine locations from 1999 to 2007 and 105 locations of road-killed individuals recorded from 1999 to 2020) and 919 detection-nondetection surveys from 230 sites between 2021 and 2023 to understand the current distribution of river otters in Rhode Island, USA, as well as the changes in river otter distribution over the past two decades. We found that river otters were strongly associated with key habitat features such as streams and water, positively associated with urban areas, and tolerant of some contaminants, such as lead. Furthermore, despite uncertainties in historical river otter occurrence, we found clear supporting evidence that river otter intensity of use had declined from 1999 to 2023. This decline occurred despite being protected from harvest and in contrast to range expansions in other parts of the northeastern USA throughout the second half of the 20th century. Our results suggest the utility of this approach to detect declines in species for which historical data are available and a need for better understanding the cause of river otter declines. Where monitoring consists of opportunistically collected data, species conservation could benefit by continuing to collect these data as well as introducing designed surveys, as this would allow better integration of data types, improving trend estimation and reducing the amount of (typically more expensive) designed surveys needed.

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Introduction

Ecological restoration is increasingly used to sustain biodiversity and ecosystem services. In drylands of the western United States (US), post-disturbance restoration often involves seeding treatments to promote the recovery of native plant communities. Spatial and temporal variability in environmental conditions influences plant establishment and contributes to low restoration success in certain locations and years.

Objectives

Here, we discuss how forecasts for plant establishment can be developed and delivered to help land managers anticipate the impacts of near-term (months to years) environmental conditions on restoration.

Methods

We developed an ecological forecast system that predicts the outcome of restoration seeding by integrating weather forecasts, an ecosystem water balance model, and plant establishment models.

Results

In this article, we focus on a conceptual approach to developing, delivering, and applying ecological forecasts for restoration. We illustrate the potential of this approach by adapting existing ecological models to build an initial version of a decision support tool that delivers a species-specific ecological forecast for big sagebrush (Artemisia tridentata) establishment. Integrating ecological forecasts into plans for restoration seeding presents opportunities to anticipate and account for environmental variability.

Conclusions

Finally, we discuss how connecting research, forecast delivery, and management can maximize the impact of ecological forecasts on restoration success.

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