Outcomes of ecological restoration treatments can be highly variable and challenging to generalize, even for the same treatment type applied in similar ecological communities at different times and places. Notable examples are the herbicide and seeding treatments that have been extensively applied across the perennial sagebrush steppe of the United States to reduce impacts of fire-promoting exotic annual grasses (EAGs) such as Cheatgrass (Bromus tectorum).
We asked if statistically based generalizations about the effects of pre-emergent herbicide and drill seeding of perennials, implemented following wildfires when threats of annual-grass invasion are greatest, could be made from the available literature.
We conducted a meta-analysis of these treatment effects for 1228 treatment-control comparisons from 35 studies published from 1990 to 2023 that met basic criteria for topical relevance and repeatability.
EAGs and forbs were each reduced by herbicides and by seeding perennial grasses. The combination of herbicide and seeding reduced annuals and led to the largest increases in perennials. Although these outcomes support the intended effects of the treatments, there was high variability in outcomes among studies.
Combined use of pre-emergent herbicides and seeding can increase the success of restoration interventions that are aimed at reducing the invasion of exotic annual grasses and increasing perennials after fire in sagebrush steppe. Our analysis revealed, however, that the available literature was not suited to answering more specific questions, in spite of the massive amount of post-fire herbicide and seedings that have been applied in burned sagebrush steppe. Specifically, there were too few topically relevant studies with adequate scientific reporting to properly evaluate differences among specific treatment methodologies, including specific herbicides, that affect restoration success.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.70157","usgsCitation":"Bennion, L., Anthony, C.A., Zimmer, S., Pilliod, D., and Germino, M., 2025, A systematic review and meta-analysis of post-fire seeding and herbicide treatment effectiveness for controlling exotic annual grasses in the sagebrush biome: Restoration Ecology, v. 33, no. 8, e70157, 9 p., https://doi.org/10.1111/rec.70157.","productDescription":"e70157, 9 p.","ipdsId":"IP-175123","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":493410,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Bennion, Leland D","contributorId":358986,"corporation":false,"usgs":false,"family":"Bennion","given":"Leland D","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":944691,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anthony, Christopher A 0000-0003-0968-224X","orcid":"https://orcid.org/0000-0003-0968-224X","contributorId":334644,"corporation":false,"usgs":false,"family":"Anthony","given":"Christopher","email":"","middleInitial":"A","affiliations":[{"id":80198,"text":"USFWS (current)","active":true,"usgs":false}],"preferred":false,"id":944692,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmer, Scott N","contributorId":358987,"corporation":false,"usgs":false,"family":"Zimmer","given":"Scott N","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":944693,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":218009,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":944694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Germino, Matthew 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":218007,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":944695,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274059,"text":"70274059 - 2025 - Evidence for marine-driven, cyclical fluctuations in burrow-nesting seabird habitat on the Oregon Coast","interactions":[],"lastModifiedDate":"2026-02-23T15:35:42.41776","indexId":"70274059","displayToPublicDate":"2025-07-31T08:28:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for marine-driven, cyclical fluctuations in burrow-nesting seabird habitat on the Oregon Coast","docAbstract":"Seabirds are among the most threatened birds globally, with the loss or deterioration of coastal breeding habitats posing a severe threat. Natural and anthropogenic disturbances substantially influence coastal ecosystems through erosion and vegetation loss, altering habitat for the wildlife species that depend on them. In addition to these disturbances, oceanographic processes may play an important role in shaping the vegetation at breeding habitats; however, there is limited information on how vegetative conditions for burrow nesting seabirds have changed over time, and whether these changes are related to specific oceanographic or climatic factors. The Oregon Coast National Wildlife Refuge Complex, USA (NWRC) is home to a diverse suite of 1.3 million nesting seabirds from 14 species, which provide valuable ecological, economic, and cultural services, including nutrient transfer to terrestrial habitats and ecotourism for local communities. Over the last 30 years, populations of several burrow nesting seabird species including tufted puffin (Fratercula cirrhata) and rhinoceros auklet (Cerorhinca monocerata), which breed on offshore islands, have sharply declined along the Oregon Coast. To better understand the potential factors driving these declines, we conducted a spatiotemporal analysis of an aspect of burrow nesting seabird habitat, vegetation cover, within the Oregon Coast NWRC. Specifically, we quantified vegetative cover on 16 islands from 1992 to 2022 using a combination of empirical data, historical aerial photography (1992–2005), and aerial photography from the National Agriculture Imagery Program (2005–2022). Results showed cyclical fluctuations in vegetation cover coast-wide, which were closely related to large scale oceanographic oscillations. Specifically, vegetation cover was negatively correlated with the winter Pacific Decadal Oscillation and positively correlated with the spring El Nino Southern Oscillation. We did not directly compare seabird population trends to vegetation trends; however, quantifying these long-term changes in vegetation at breeding habitats can contribute to our comprehensive understanding of the myriad factors influencing seabird population dynamics and conservation.
","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2025.1589794","usgsCitation":"Kusaka, C.M., Stephensen, S., Peterson, J.T., Davis, M.J., 2025, Evidence for marine-driven, cyclical fluctuations in burrow-nesting seabird habitat on the Oregon Coast: Frontiers in Ecology and Evolution, v. 13, 1589794, 17 p., https://doi.org/10.3389/fevo.2025.1589794.","productDescription":"1589794, 17 p.","ipdsId":"IP-172895","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500834,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2025.1589794","text":"Publisher Index Page"},{"id":500405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Oregon Islands National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.15366691965761,\n 46.41412674563094\n ],\n [\n -125.15366691965761,\n 41.994179108986174\n ],\n [\n -123.59879881574449,\n 41.994179108986174\n ],\n [\n -123.59879881574449,\n 46.41412674563094\n ],\n [\n -125.15366691965761,\n 46.41412674563094\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Kusaka, Carina M.","contributorId":366855,"corporation":false,"usgs":false,"family":"Kusaka","given":"Carina","middleInitial":"M.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":956323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephensen, Shawn","contributorId":366856,"corporation":false,"usgs":false,"family":"Stephensen","given":"Shawn","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":956324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":956325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Melanie J. 0000-0003-1734-7177","orcid":"https://orcid.org/0000-0003-1734-7177","contributorId":202773,"corporation":false,"usgs":true,"family":"Davis","given":"Melanie","email":"","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":956326,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70271361,"text":"70271361 - 2025 - Integrating the resist–accept–direct framework into natural resource decision-making processes for climate adaptation","interactions":[],"lastModifiedDate":"2025-12-01T16:31:30.377508","indexId":"70271361","displayToPublicDate":"2025-07-31T08:10:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Integrating the resist–accept–direct framework into natural resource decision-making processes for climate adaptation","docAbstract":"The resist–accept–direct (RAD) framework for climate adaptation is a useful tool, particularly when conservation practitioners know they need to address climate change but do not know where to start or when they struggle to implement conservation actions that are outside the status quo. Some conservation practitioners may view RAD as a decision process that will lead them through selecting climate adaptation actions to meet their objectives; however, RAD may be better suited for use with existing decision processes. RAD can improve adaptation planning processes by helping conservation practitioners examine a broader portfolio of climate adaptation actions. Choosing the actions that meet organizational objectives and long-term goals relies on a sound decision process through which to select RAD-generated actions to implement across space and time. The good news for conservation practitioners is that RAD can easily be integrated into the decision processes they are already using—that is, a new decision process for RAD is not necessary. We examined 6 commonly used decision frameworks in the context of RAD for climate adaptation: structured decision-making, adaptive management, conservation standards, climate-smart conservation, strategic habitat conservation, and scenario planning. Each decision framework can easily incorporate RAD methodologies to create climate adaptation menus and portfolios within existing structures, allowing conservation practitioners to continue to utilize existing frameworks for their valuable decision-making tools. Integrating the RAD framework can enhance them by explicitly considering future uncertainties and providing a menu of climate adaptation actions for navigating changing ecosystems.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111%2Fcobi.70116","usgsCitation":"Sesser, A.L., Wilkening, J.L., Miles, W.B., Guilbeau, K.G., Lynch, A., Conrad, J.R., and Magness, D.R., 2025, Integrating the resist–accept–direct framework into natural resource decision-making processes for climate adaptation: Conservation Biology, v. 39, no. 6, e70116, 11 p., https://doi.org/10.1111%2Fcobi.70116.","productDescription":"e70116, 11 p.","ipdsId":"IP-174006","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":495282,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sesser, Amanda L.","contributorId":361064,"corporation":false,"usgs":false,"family":"Sesser","given":"Amanda","middleInitial":"L.","affiliations":[{"id":30786,"text":"FEMA","active":true,"usgs":false}],"preferred":false,"id":948212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilkening, Jennifer L.","contributorId":361065,"corporation":false,"usgs":false,"family":"Wilkening","given":"Jennifer","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":948213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miles, Wendy Beth","contributorId":361066,"corporation":false,"usgs":false,"family":"Miles","given":"Wendy","middleInitial":"Beth","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":948214,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guilbeau, Kelly G.","contributorId":297126,"corporation":false,"usgs":false,"family":"Guilbeau","given":"Kelly","email":"","middleInitial":"G.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":948215,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":220490,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":948216,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Conrad, Jeremy R.","contributorId":346871,"corporation":false,"usgs":false,"family":"Conrad","given":"Jeremy","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":948217,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magness, Dawn Robin","contributorId":361073,"corporation":false,"usgs":false,"family":"Magness","given":"Dawn","middleInitial":"Robin","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":948218,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70269721,"text":"sir20255067 - 2025 - Hydrologic budgets and water availability of six bedrock aquifers in the Black Hills area, South Dakota and Wyoming, 1931–2022","interactions":[],"lastModifiedDate":"2026-02-03T14:40:19.630141","indexId":"sir20255067","displayToPublicDate":"2025-07-30T15:39:55","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5067","displayTitle":"Hydrologic Budgets and Water Availability of Six Bedrock Aquifers in the Black Hills Area, South Dakota and Wyoming, 1931–2022","title":"Hydrologic budgets and water availability of six bedrock aquifers in the Black Hills area, South Dakota and Wyoming, 1931–2022","docAbstract":"Population growth and recurring droughts in the Black Hills region raised interest in water resources and future availability. The Black Hills hydrology study (BHHS) was initiated in the early 1990s to address questions regarding water resources. Since completion of the BHHS in the early 2000s, the population of the Black Hills region increased by about 39 percent, which has renewed interest in water demand and availability in the Black Hills. The U.S. Geological Survey, in cooperation with the Western Dakota Regional Water System, completed a study to update hydrologic budgets from the BHHS for six of the most used aquifers in the Black Hills. Water availability was determined by comparing results from hydrologic budgets to modern well withdrawals (2003–22) and water rights information. Key updates to the BHHS budgets included adding available data from 1999 to 2022 and determining hydrologic budgets for six aquifers in nine smaller areas (called “subareas”).
Inflows for the hydrologic budget included recharge from precipitation and streamflow losses to aquifers. Total mean annual recharge for the six aquifers in the study area was estimated at 278,900 acre-feet, with 205,100 acre-feet from precipitation recharge and 73,800 acre-feet from streamflow recharge. Mean annual precipitation recharge for the Madison and Minnelusa aquifers together accounted for 76 percent of the total mean annual precipitation recharge, with the Madison aquifer contributing 57,000 acre-feet and the Minnelusa aquifer contributing 98,100 acre-feet. Outflow components estimated for the hydrologic budget include artesian springflow and well withdrawals. Total mean annual artesian springflow in the study area was estimated as 166,100 acre-feet for the combined Madison and Minnelusa aquifers. Mean total annual well withdrawals for 2003–22 in the study area were about 50,000 acre-feet. No increased well withdrawal patterns corresponding to population increases were observed between 2003 and 2022.
Water availability was determined by comparing total annual appropriations and mean and maximum annual well withdrawals for 2003–22 to mean annual recharge for 1931–2022 for each aquifer in subareas 1–9. Modern well withdrawals (mean and maximum for 2003–22) exceeded mean annual recharge for only the Deadwood and Inyan Kara aquifers in subareas 9 and 4, respectively. Additionally, total annual appropriations did not exceed mean annual recharge in most subareas, except most notably in subarea 4 (Rapid City area) where appropriations exceeded recharge for the Madison, Minnelusa, and Inyan Kara aquifers. Total annual appropriations also exceeded mean annual recharge for the Inyan Kara aquifer in subareas 3 and 5. In addition to recharge, water availability includes the water stored in pore spaces of aquifer materials. Estimates of total volume of recoverable water in storage were updated as part of this study to include the portion of aquifers in Wyoming, which were omitted during the BHHS. In total, the estimated total amount of recoverable water in storage in the study area was 356.9 million acre-feet for six major aquifers in the Black Hills area of South Dakota and Wyoming.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255067","collaboration":"Prepared in cooperation with the Western Dakota Regional Water System","usgsCitation":"Medler, C.J., Anderson, T.M., and Eldridge, W.G., 2025, Hydrologic budgets and water availability of six bedrock aquifers in the Black Hills area, South Dakota and Wyoming, 1931–2022: U.S. Geological Survey Scientific Investigations Report 2025–5067, 87 p., https://doi.org/10.3133/sir20255067.","productDescription":"Report: ix, 87 p.; Data Release","numberOfPages":"102","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-169475","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":493206,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1QWKUKP","text":"USGS data release","linkHelpText":"Datasets used in constructing hydrologic budgets for six bedrock aquifers in the Black Hills area of South Dakota and Wyoming, 1931–2022"},{"id":493201,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5067/coverthb.jpg"},{"id":493202,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5067/sir20255067.pdf","text":"Report","size":"27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Sir 2025–5067"},{"id":493203,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5067/sir20255067.XML"},{"id":493204,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5067/images/"},{"id":493205,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255067/full"}],"country":"United States","state":"South Dakota, Wyoming","otherGeospatial":"Black Hills area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.5,\n 44.75\n ],\n [\n -104.5,\n 43.25\n ],\n [\n -103,\n 43.25\n ],\n [\n -103,\n 44.75\n ],\n [\n -104.5,\n 44.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue, Bismarck, ND 58503
1608 Mountain View Road, Rapid City, SD 57702
The State of Tennessee has an area of approximately 42,100 square miles and includes six physiographic regions: Blue Ridge, Valley and Ridge, Appalachian Plateaus, Highland Rim, Nashville Basin, and the Gulf Coastal Plains. Up-to-date elevation data support key activities across the State, such as economic development, infrastructure and construction management, agriculture and precision farming, forest resources management, natural resources conservation, flood risk management, emergency management, and urban and regional planning. The State experiences frequent landslides affecting major roadways. High-resolution elevation data can help identify potential landslide-prone areas. Critical applications that meet the State’s management needs depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features.
The 3D Elevation Program (3DEP; refer to sidebar) is managed by the U.S. Geological Survey (USGS) in partnership with Federal, State, Tribal, U.S. territorial, and local agencies to acquire consistent lidar coverage at qual-ity level 2 or better to meet the many needs of the Nation and Tennessee. The status of available and in-progress 3DEP baseline lidar data in Tennessee is shown in figure 1. 3DEP baseline lidar data include quality level 2 or better, 1-meter or better digital elevation models, and lidar point clouds, and must meet the Lidar Base Specification version 1.2 (https://www.usgs.gov/3dep/lidarspec) or newer requirements. The National Enhanced Elevation Assessment identified user requirements and conservatively estimated that availability of lidar data would result in at least $6.32 million in new benefits annually to the State. The top 10 Tennessee business uses for 3D elevation data, which are based on the estimated annual conservative benefits of 3DEP, are shown in table 2.
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\"}}]}","contact":"Director, National Geospatial Program
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 511
Reston, VA 20192
Email: 3DEP@usgs.gov
","tableOfContents":"Objective
Yellow Perch Perca flavescens was first encountered in Lake Cascade, Idaho, in 1957. Since its introduction, the abundance of Yellow Perch in Lake Cascade has been highly variable. Historically, declines in Yellow Perch abundance were attributed to predation by Northern Pikeminnow Ptychocheilus oregonensis. In the 1990s, Smallmouth Bass Micropterus dolomieu became established in Lake Cascade. Although Yellow Perch abundance has been high and currently supports a world-class fishery, the Idaho Department of Fish and Game has documented poor Yellow Perch recruitment in recent years, concerning regional managers. An investigation into the food habits of Yellow Perch, Smallmouth Bass, and Northern Pikeminnow was conducted to better understand the importance of juvenile Yellow Perch to predator diets.
Methods
In Lake Cascade, gill nets were deployed monthly from April 2022 to May 2023. Ageing structures and stomach contents were removed from Yellow Perch, Smallmouth Bass, and Northern Pikeminnow. Diet composition was quantified and then summarized by species, cohort, and season. Bioenergetics modeling, coupled with estimates of predator abundance, was used to evaluate overall consumption of Yellow Perch.
Results
In total, stomach contents were extracted from 1,099 Yellow Perch, 440 Smallmouth Bass, and 980 Northern Pikeminnow. Food habits varied by season and predator length, but Yellow Perch was a primary prey item of all study species. The energetic contribution of Yellow Perch to Yellow Perch varied from 10% to 80% across seasons. Smallmouth Bass consumed fewer Yellow Perch than either Yellow Perch or Northern Pikeminnow. The highest average per capita consumption of Yellow Perch (i.e., across seasons) was observed for 500–600-mm Northern Pikeminnow (five Yellow Perch/Northern Pikeminnow). Energetic contribution of Yellow Perch to Northern Pikeminnow diets was highest in spring 2023, yet Northern Pikeminnow consumed the highest average number of Yellow Perch in July. Bioenergetics modeling estimated that per-capita annual consumption of Yellow Perch was 6.0 kg for Yellow Perch, 3.4 kg for Smallmouth Bass, and 9.9 kg for Northern Pikeminnow. In total, estimated consumption of all study species was as high as 37% of the estimated total number age-0 Yellow Perch produced.
Conclusions
Yellow Perch was an important prey item for all three species, particularly Yellow Perch and Northern Pikeminnow. Results from this study provide important information on the predation of Yellow Perch in Lake Cascade. Further, this work will bolster a growing body of research on the food habits of and interactions between native and nonnative predators in western reservoir systems.
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U.S. Geological Survey
821 East Interstate Avenue, Bismarck, ND 58503
1608 Mountain View Road, Rapid City, SD 57702
In response to concerns about changing flood regimes, the U.S. Geological Survey, in cooperation with nine State agencies, began a study to examine variability and change in hydrology and climate and the effects of urbanization and tile drainage on flooding. The findings of that study are briefly summarized in this report.
","publicationDate":"2025-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marti, Mackenzie K. 0000-0001-8817-4969 mmarti@usgs.gov","orcid":"https://orcid.org/0000-0001-8817-4969","contributorId":289738,"corporation":false,"usgs":true,"family":"Marti","given":"Mackenzie","email":"mmarti@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barth, Nancy A. 0000-0002-7060-8244 nabarth@usgs.gov","orcid":"https://orcid.org/0000-0002-7060-8244","contributorId":298020,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":942795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Over, Thomas M. 0000-0001-8280-4368","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":204650,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Levin, Sara B. 0000-0002-2448-3129","orcid":"https://orcid.org/0000-0002-2448-3129","contributorId":209947,"corporation":false,"usgs":true,"family":"Levin","given":"Sara B.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942797,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Podzorski, Hannah Lee 0000-0001-5204-2606 hpodzorski@usgs.gov","orcid":"https://orcid.org/0000-0001-5204-2606","contributorId":333626,"corporation":false,"usgs":true,"family":"Podzorski","given":"Hannah","email":"hpodzorski@usgs.gov","middleInitial":"Lee","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942798,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sando, Steven K. 0000-0003-1206-1030","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":203451,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"","middleInitial":"K.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":942799,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams-Sether, Tara 0000-0001-6515-9416","orcid":"https://orcid.org/0000-0001-6515-9416","contributorId":214143,"corporation":false,"usgs":true,"family":"Williams-Sether","given":"Tara","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942800,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"O’Shea, Padraic S. 0000-0001-9005-8289 poshea@usgs.gov","orcid":"https://orcid.org/0000-0001-9005-8289","contributorId":196742,"corporation":false,"usgs":true,"family":"O’Shea","given":"Padraic","email":"poshea@usgs.gov","middleInitial":"S.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942801,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chase, Katherine J. 0000-0002-5796-4148 kchase@usgs.gov","orcid":"https://orcid.org/0000-0002-5796-4148","contributorId":454,"corporation":false,"usgs":true,"family":"Chase","given":"Katherine","email":"kchase@usgs.gov","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":942802,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70272613,"text":"70272613 - 2025 - Stable isotope reference materials and scale definitions – Outcomes of the 2024 IAEA experts meeting","interactions":[],"lastModifiedDate":"2025-11-24T16:27:31.900185","indexId":"70272613","displayToPublicDate":"2025-07-30T09:13:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Stable isotope reference materials and scale definitions – Outcomes of the 2024 IAEA experts meeting","docAbstract":"The participants of the 12th International Atomic Energy Agency (IAEA) meeting on stable isotope reference materials reached a consensus, acknowledging the existence and use of two carbon isotope delta scales: the VPDB (Vienna Peedee belemnite) scale and the VPDB-LSVEC (LSVEC - lithium carbonate prepared by H. J. Svec). Conversion models between the two scales can be established and used but introduce uncertainty. A format for isotope delta scale definition was agreed upon and was used to define the two carbon isotope delta scales and the two main oxygen isotope delta scales, VSMOW-SLAP (Vienna Standard Mean Ocean Water–Standard Light Antarctic Precipitation) and VPDB. Confirmation or identification of a second-scale–defining point is still necessary for the nitrogen and sulfur isotope delta scales.
Efforts are encouraged to improve consistency among laboratories in the isotopic analysis of “non-exchangeable hydrogen” in bulk organic materials and oxygen in carbonates using the phosphoric acid reaction. Additional topics discussed include (1) need for improvement in reference materials for accurate greenhouse gas isotopic analyses; (2) reference materials under production by the IAEA, the US Geological Survey (USGS), and the US National Institute of Standards and Technology (NIST); (3) methods for value and uncertainty assignment of reference materials; and (4) calculation of carbon-13 isotope delta and oxygen-18 isotope delta of CO2 measured by dual-inlet isotope ratio mass spectrometry.
","language":"English","publisher":"Wiley","doi":"10.1002/rcm.10018","usgsCitation":"Camin, F., Besic, D., Brewer, P.J., Allison, C.E., Coplen, T.B., Dunn, P.J., Gehre, M., Gröning, M., Meijer, H.A., Hélie, J., Iacumin, P., Kraft, R., Krajnc, B., Kümmel, S., Lee, S., Meija, J., Mester, Z., Mohn, J., Moossen, H., Qi, H., Skrzypek, G., Sperlich, P., Viallon, J., Wassenaar, L.I., and Wielgosz, R.I., 2025, Stable isotope reference materials and scale definitions – Outcomes of the 2024 IAEA experts meeting: Rapid Communications in Mass Spectrometry, v. 39, no. 14, e10018, 11 p., https://doi.org/10.1002/rcm.10018.","productDescription":"e10018, 11 p.","ipdsId":"IP-167836","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":496933,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rcm.10018","text":"Publisher Index 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In 2020, the COVID-19 pandemic led to temporary closure of national parks in the United States, offering a pseudonatural experiment to tease apart the effects of permanent infrastructure and transient human presence on animals. We compiled GPS tracking data from 229 individuals of 10 mammal species in 14 parks and used third-order hierarchical resource selection functions to evaluate the influence of the human footprint on animal space use in 2019 and 2020. Averaged across all parks and species, animals avoided the human footprint, whether the park was open or closed. However, although animals in remote areas showed consistent avoidance, on average those in more developed areas switched from avoidance to selection when protected areas were closed. Findings varied across species: some responded consistently negatively to the footprint (wolves, mountain goats), some positively (mule deer, red fox) and others had a strong exposure-mediated response (elk, mountain lion). 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The upcoming NASA/USGS Landsat Next mission, with an increase in spatial and spectral resolution over previous Landsat missions, is no exception. Landsat Next will produce nearly six times the amount of image data per day over either of the current Landsat 8 or Landsat 9 observatories. Near-lossless compression, where the image after compression is not identical to the original image, allows for the efficient storage and transmission of all image data while meeting the mission’s global coverage, temporal revisit frequency, and science measurement and performance requirements. Although the Landsat user community is understandably cautious about lossy compression, it is possible to constrain the maximum loss, or error, introduced during compression, ensuring that any added error remains within the intrinsic noise level of the instrument. The Consultative Committee for Space Data Systems image compression standard, CCSDS 123.0-B-2, was chosen for the Landsat Next mission because it is an internationally supported standard suited for integration with space hardware, and it allows control over the magnitude and distribution of compression error. Using several proxy datasets as a surrogate for Landsat Next image data, an investigation was performed to determine a preliminary set of parameter values that would keep the added compression error within acceptable limits. The results of these studies demonstrate that near-lossless image compression can be utilized by the Landsat Next instruments to store and downlink all science data without compromising image quality or mission requirements.
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This study quantifies SGD fluxes and associated nutrient dynamics in two reef flat pools within the Ofu Unit of the National Park of American Samoa: Papaloloa and Fatuana. A multi-method approach integrating unoccupied aerial system-based thermal infrared (UAS-TIR) surveys, radon-based SGD measurements, multichannel electrical resistivity tomography (ERT), and discrete water sampling was used to assess SGD rates and nutrient contributions. UAS-TIR imagery revealed cooler sea surface temperatures in both pools, indicative of SGD, with the higher fluxes observed in Papaloloa. Radon measurements revealed a strong inverse correlation between SGD rates and tidal stage, with a more immediate SGD response at Papaloloa due to its highly permeable calcareous sand and gravel substrate. In contrast, a 2–3-hour lag in SGD response at Fatuana suggests discharge from a more inland aquifer that has lower diffusivity. Nutrient concentrations correlated with temperature and salinity, confirming SGD as the dominant nutrient transport mechanism, whereas isotopic analyses indicated inputs from both groundwater and potential anthropogenic sources. Despite lower SGD flux at Fatuana, higher algal cover suggests additional factors influencing algal proliferation, including substrate availability and hydrodynamic conditions. Excess nutrient inputs from SGD may contribute to algal overgrowth, which threatens Ofu’s thermally tolerant corals by increasing competition for space and light. These findings underscore the complexity of SGD-mediated nutrient dynamics in reef environments and emphasize the need for integrated hydrological and ecological assessments to support effective reef conservation and management strategies. \n ","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2025.1600827","usgsCitation":"Prouty, N.G., Oberle, F.K., Cheriton, O.M., Toth, L., Brown, E., and Storlazzi, C.D., 2025, Land-based nutrient flux to a fringing reef: Insights from Ofu Island, American Samoa: Frontiers in Marine Science, v. 12, 1600827, 15 p., https://doi.org/10.3389/fmars.2025.1600827.","productDescription":"1600827, 15 p.","ipdsId":"IP-176993","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":494196,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2025.1600827","text":"Publisher Index Page"},{"id":493956,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"American Samoa, Ofu Island, Olosega Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -169.70032612583023,\n -14.146100325769837\n ],\n [\n -169.70032612583023,\n -14.203250623210224\n ],\n [\n -169.59031247739568,\n -14.203250623210224\n ],\n [\n -169.59031247739568,\n -14.146100325769837\n ],\n [\n -169.70032612583023,\n -14.146100325769837\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2025-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":215720,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":945599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oberle, Ferdinand K.J. 0000-0001-8871-3619","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":214402,"corporation":false,"usgs":true,"family":"Oberle","given":"Ferdinand","middleInitial":"K.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":945600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheriton, Olivia M. 0000-0003-3011-9136","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":204459,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":945601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":945602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Eric K.","contributorId":359481,"corporation":false,"usgs":false,"family":"Brown","given":"Eric K.","affiliations":[{"id":85828,"text":"NPS American Samoa","active":true,"usgs":false}],"preferred":false,"id":945603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":945604,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272638,"text":"70272638 - 2025 - Impact of land subsidence on housing sale values: Evidence from the San Joaquin Valley, California","interactions":[],"lastModifiedDate":"2026-01-22T16:34:02.959931","indexId":"70272638","displayToPublicDate":"2025-07-29T11:01:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2598,"text":"Land Economics","active":true,"publicationSubtype":{"id":10}},"title":"Impact of land subsidence on housing sale values: Evidence from the San Joaquin Valley, California","docAbstract":"This study assesses the impact of land subsidence on housing sale values in the San Joaquin Valley, California. The study utilizes home sale transactions and vertical land-surface displacement data from Interferometric Synthetic Aperture Radar techniques. Using fine-scale fixed effects, matching, as well as a repeat-sales approach, our results indicate that land subsidence resulted in a 2.4% to 5.8% reduction in housing sale values, with the largest reductions occurring in areas where substantial subsidence occurred. Such findings may have implications for groundwater management and can potentially help inform policy design to help mitigate the causes and impacts of land subsidence.
","language":"English","publisher":"University of Wisconsin Press","doi":"10.3368/le.102.1.092324-0083R","usgsCitation":"Nemati, M., Sneed, M., and Dinar, A., 2025, Impact of land subsidence on housing sale values: Evidence from the San Joaquin Valley, California: Land Economics, v. 101, no. 4, 092324-0083R, 49 p., https://doi.org/10.3368/le.102.1.092324-0083R.","productDescription":"092324-0083R, 49 p.","ipdsId":"IP-157861","costCenters":[{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true}],"links":[{"id":497087,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3368/le.102.1.092324-0083r","text":"Publisher Index Page"},{"id":496998,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley","volume":"101","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Nemati, Mehdi","contributorId":363076,"corporation":false,"usgs":false,"family":"Nemati","given":"Mehdi","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":951082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sneed, Michelle 0000-0002-8180-382X","orcid":"https://orcid.org/0000-0002-8180-382X","contributorId":214186,"corporation":false,"usgs":true,"family":"Sneed","given":"Michelle","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinar, Ariel","contributorId":363077,"corporation":false,"usgs":false,"family":"Dinar","given":"Ariel","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":951084,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272048,"text":"70272048 - 2025 - Reaction kinetics and accelerant effects of sulfides in early mature hydrocarbon generation using hydrous pyrolysis","interactions":[],"lastModifiedDate":"2025-11-14T16:35:31.547406","indexId":"70272048","displayToPublicDate":"2025-07-29T10:31:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2156,"text":"Journal of Analytical and Applied Pyrolysis","active":true,"publicationSubtype":{"id":10}},"title":"Reaction kinetics and accelerant effects of sulfides in early mature hydrocarbon generation using hydrous pyrolysis","docAbstract":"Hydrocarbon generation in organic-rich sediments is influenced by the molecular organic composition and relative abundance of associated minerals. Certain mineral-derived elements act as catalysts and reaction intermediaries, facilitating early-stage hydrocarbon formation in potential source rocks. This study investigated the role of sulfur contributed from pyrite as an accelerant in thermal reaction, focusing on its effects on early maturation and consequent hydrocarbon generation from gilsonite (low-sulfur solid petroleum). Hydrous pyrolysis (HP) experiments were conducted on mixtures of gilsonite and pyrite in varying ratios (1:0.1, 1:0.5, 1:1, 1:2, and 1:10 w/w gilsonite:pyrite) at 320, 350, and 370 °C for 72 h. Untreated and thermally altered residues were analyzed using solid bitumen reflectance (BRo, %), total organic carbon (TOC) content, programmed temperature pyrolysis, scanning electron microscopy with energy-dispersive spectroscopy (SEM-EDS), and X-ray diffraction (XRD) to evaluate the potential accelerant role of pyritic sulfur in hydrocarbon formation. The results show HP residues at 320 and 350 °C with greater pyrite concentrations had higher BRo, while reflectance values were similar in the 370 °C residues, regardless of pyrite concentration, suggesting enhanced reaction at lower thermal conditions. Increasing pyrite content systematically decreased hydrogen index (HI) values while increasing the transformation ratio (TR) and production index (PI), indicating enhanced conversion of organic matter to hydrocarbons with increasing pyrite concentrations. Gas yields increased with pyrite addition, particularly at 350 °C, confirming secondary cracking effects. However, gas production stabilized or declined at higher pyrite loadings (1:10), suggesting alternative reaction pathways such as coke formation. Our data indicate the presence of pyrite lowers the activation energy for thermal cracking, shifting peak experimental hydrocarbon generation temperatures downward by 20–30 °C, with the most pronounced accelerant effects observed at moderate pyrite concentrations (1:0.5 and 1:1). The thermodynamic framework reveals that pyrite stability is influenced by experimental conditions, with pyrrhotite formation favored in the presence of gilsonite due to reduced oxygen fugacity. Pyrite transformation to pyrrhotite, as observed through XRD, SEM-EDS, and predicted by thermodynamic data, further supports the accelerant role of S, as pyrrhotite exhibits a higher hydrogen transfer potential, promoting early oil generation. These findings highlight the importance of pyrite in modulating hydrocarbon generation pathways in organic-rich systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaap.2025.107307","usgsCitation":"Adsul, T., Hackley, P.C., Hatcherian, J.J., McAleer, R.J., Green, C.J., Burnham, A.K., Ghosh, S., Werne, J.P., and Varma, A.K., 2025, Reaction kinetics and accelerant effects of sulfides in early mature hydrocarbon generation using hydrous pyrolysis: Journal of Analytical and Applied Pyrolysis, v. 192, 107307, https://doi.org/10.1016/j.jaap.2025.107307.","productDescription":"107307","ipdsId":"IP-176736","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":496496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"192","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Adsul, Tushar","contributorId":330815,"corporation":false,"usgs":false,"family":"Adsul","given":"Tushar","email":"","affiliations":[{"id":79028,"text":"Indian Institute of Technology (Indian School of Mines), India","active":true,"usgs":false}],"preferred":false,"id":949842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":949843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":949844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":949845,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Green, Carlin J. 0000-0002-6557-6268 cjgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6557-6268","contributorId":193013,"corporation":false,"usgs":true,"family":"Green","given":"Carlin","email":"cjgreen@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":949846,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burnham, Alan K.","contributorId":362030,"corporation":false,"usgs":false,"family":"Burnham","given":"Alan","middleInitial":"K.","affiliations":[{"id":86422,"text":"Stratify//MH Chew Associates, 7633 Southfront Rd #170, Livermore, California 94551, USA","active":true,"usgs":false}],"preferred":false,"id":949847,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ghosh, Santanu","contributorId":330824,"corporation":false,"usgs":false,"family":"Ghosh","given":"Santanu","email":"","affiliations":[{"id":79037,"text":"Mizoram University, India","active":true,"usgs":false}],"preferred":false,"id":949848,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Werne, Josef P.","contributorId":362031,"corporation":false,"usgs":false,"family":"Werne","given":"Josef","middleInitial":"P.","affiliations":[{"id":86423,"text":"Organic and Stable Isotope Biogeochemistry Laboratory, Department of Geology and Environmental Science, University of Pittsburgh, 200 Space Research Coordination Center, 4107 O’Hara Street, Pittsburgh, PA 15260, USA","active":true,"usgs":false}],"preferred":false,"id":949849,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Varma, Atul K.","contributorId":290219,"corporation":false,"usgs":false,"family":"Varma","given":"Atul","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":949850,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70269711,"text":"70269711 - 2025 - Mauna Loa 2022 – Unrest, eruption, and outreach at the world’s largest volcano: Preface to the special issue","interactions":[],"lastModifiedDate":"2025-07-30T14:59:36.135828","indexId":"70269711","displayToPublicDate":"2025-07-29T09:54:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Mauna Loa 2022 – Unrest, eruption, and outreach at the world’s largest volcano: Preface to the special issue","docAbstract":"No abstract available.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-025-01842-z","usgsCitation":"Lynn, K.J., Gallant, E., Downs, D.T., and Trusdell, F., 2025, Mauna Loa 2022 – Unrest, eruption, and outreach at the world’s largest volcano: Preface to the special issue: Bulletin of Volcanology, v. 87, 66, 5 p., https://doi.org/10.1007/s00445-025-01842-z.","productDescription":"66, 5 p.","ipdsId":"IP-170428","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":498963,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-025-01842-z","text":"Publisher Index Page"},{"id":493187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.8333,\n 19.67\n ],\n [\n -155.8333,\n 19.1667\n ],\n [\n -155.0833,\n 19.1667\n ],\n [\n -155.0833,\n 19.67\n ],\n [\n -155.8333,\n 19.67\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"87","noUsgsAuthors":false,"publicationDate":"2025-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallant, Elisabeth 0000-0001-6841-3694","orcid":"https://orcid.org/0000-0001-6841-3694","contributorId":339872,"corporation":false,"usgs":false,"family":"Gallant","given":"Elisabeth","affiliations":[{"id":81292,"text":"University of Hawaiʻi at Hilo","active":true,"usgs":false}],"preferred":false,"id":944499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trusdell, Frank A. 0000-0002-0681-0528 trusdell@usgs.gov","orcid":"https://orcid.org/0000-0002-0681-0528","contributorId":754,"corporation":false,"usgs":true,"family":"Trusdell","given":"Frank A.","email":"trusdell@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944501,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273066,"text":"70273066 - 2025 - Environmental controls of suppressed fall crop productivity in an agrivoltaic solar array","interactions":[],"lastModifiedDate":"2025-12-12T16:25:26.929516","indexId":"70273066","displayToPublicDate":"2025-07-29T09:21:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22176,"text":"Environmental Research: Food Systems","active":true,"publicationSubtype":{"id":10}},"title":"Environmental controls of suppressed fall crop productivity in an agrivoltaic solar array","docAbstract":"Globally, agrivoltaics (AV) research has revealed how microclimates created by photovoltaic (PV) panels can be leveraged to promote reciprocal benefits for agricultural land use and PV energy generation. Yet, in regions of the United States where emissions reduction laws are likely to lead to greater PV development on croplands, empirical evaluation of such co-location remain under explored. Furthermore, the most common approach to AV in the United States is one that maximizes energy generation and secondarily accommodates for agricultural management, and the controls of crop production in facilities that employ such an approach are underrepresented in the AV literature. Here, we assessed the agronomic and physiological response of two vegetable crops (radish and radicchio) with different carbon allocation patterns (belowground and aboveground, respectively) in an energy focused AV facility during a fall growing season, in New York, United States. We found that a reduction in total irradiance (−24%) within the AV array decreased total biomass in both crop types (46% and 49%), with significant alterations to root-shoot ratios in radish. Reductions in total biomass were not a result of physiological acclimation, indicating that AV crops had similar photosynthetic capacity as control crops; however, the environmental constraints imposed by energy focused AV design (i.e. reduced irradiance) limited C uptake overall. Our findings highlight the need for novel management approaches (e.g. earlier planting of AV fall crops) to help overcome yield penalties incurred by energy focused AV designs.
","language":"English","publisher":"Purpose-Led Publishing","doi":"10.1088/2976-601x/adf075","usgsCitation":"Sturchio, M.A., Russell, D.F., Schmidt, J., Marschner, C., DiTomasso, A., Kim, J., and Grodsky, S.M., 2025, Environmental controls of suppressed fall crop productivity in an agrivoltaic solar array: Environmental Research: Food Systems, v. 2, 035004, 12 p., https://doi.org/10.1088/2976-601x/adf075.","productDescription":"035004, 12 p.","ipdsId":"IP-178673","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497706,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2976-601x/adf075","text":"Publisher Index Page"},{"id":497480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","city":"Coeymans","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.80802373764976,\n 42.47909671666136\n ],\n [\n -73.80802373764976,\n 42.467374096715446\n ],\n [\n -73.78867815813483,\n 42.467374096715446\n ],\n [\n -73.78867815813483,\n 42.47909671666136\n ],\n [\n -73.80802373764976,\n 42.47909671666136\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2025-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Sturchio, Matthew A.","contributorId":364059,"corporation":false,"usgs":false,"family":"Sturchio","given":"Matthew","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Dana F.","contributorId":364061,"corporation":false,"usgs":false,"family":"Russell","given":"Dana","middleInitial":"F.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Jasmine","contributorId":364064,"corporation":false,"usgs":false,"family":"Schmidt","given":"Jasmine","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marschner, Caroline","contributorId":364067,"corporation":false,"usgs":false,"family":"Marschner","given":"Caroline","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952202,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DiTomasso, Antonio","contributorId":364070,"corporation":false,"usgs":false,"family":"DiTomasso","given":"Antonio","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952203,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kim, Jinwook","contributorId":53416,"corporation":false,"usgs":false,"family":"Kim","given":"Jinwook","email":"","affiliations":[],"preferred":false,"id":952204,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952205,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70270625,"text":"70270625 - 2025 - Regenerable membrane sensors for ultrasensitive nanoplastic quantification enabled by a data-driven Raman spectral processing algorithm","interactions":[],"lastModifiedDate":"2025-08-21T15:50:54.422861","indexId":"70270625","displayToPublicDate":"2025-07-29T08:45:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Regenerable membrane sensors for ultrasensitive nanoplastic quantification enabled by a data-driven Raman spectral processing algorithm","docAbstract":"The detection of nanoplastics (NPs) in complex natural water systems is hindered by matrix interferences and limitations in current analytical techniques. This study presents Pre_seg, a Raman spectral processing algorithm integrated with regenerable anodic aluminum oxide (AAO) membrane sensors, for ultrasensitive, rapid, and quantitative NP detection at the single-particle level. The AAO membranes function as both filtration substrates and Raman sensors, reducing sample loss and contamination. Pre_seg incorporates statistically determined thresholds for signal-to-noise ratios (SNRs) and full width at half maximums (fwhms) across segmented spectral ranges, effectively minimizing noise and enhancing accuracy and sensitivity of NP detection. Pre_seg achieved 93.5% prediction accuracy of NPs and ≥90.4% rejection accuracy for non-NP entries. Mixed NPs were quantified at the lowest concentration of 0.5 μg L–1. The robustness of Pre_seg was validated in eutrophic and oligotrophic lake matrices following oxidation digestion pretreatment to mitigate organic interferences. 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","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c05396","collaboration":"University of Wisconsin","usgsCitation":"Wu, Z., Janssen, S., Tate, M., Qin, M., and Wei, H., 2025, Regenerable membrane sensors for ultrasensitive nanoplastic quantification enabled by a data-driven Raman spectral processing algorithm: Environmental Science and Technology, v. 59, no. 31, p. 16652-16661, https://doi.org/10.1021/acs.est.5c05396.","productDescription":"10 p.","startPage":"16652","endPage":"16661","ipdsId":"IP-178758","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":496347,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c05396","text":"Publisher Index Page"},{"id":494390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"31","noUsgsAuthors":false,"publicationDate":"2025-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Wu, Ziyan","contributorId":346132,"corporation":false,"usgs":false,"family":"Wu","given":"Ziyan","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":946698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tate, Michael 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":216029,"corporation":false,"usgs":true,"family":"Tate","given":"Michael","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qin, Mohan","contributorId":346134,"corporation":false,"usgs":false,"family":"Qin","given":"Mohan","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":946701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wei, Haoran","contributorId":360039,"corporation":false,"usgs":false,"family":"Wei","given":"Haoran","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":946702,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70270703,"text":"70270703 - 2025 - Larger larval sea lamprey (Petromyzon marinus) have longer survival times when exposed to the lampricide 3-trifluoromethyl-4-nitrophenol","interactions":[],"lastModifiedDate":"2025-11-20T16:56:38.431616","indexId":"70270703","displayToPublicDate":"2025-07-29T08:13:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Larger larval sea lamprey (Petromyzon marinus) have longer survival times when exposed to the lampricide 3-trifluoromethyl-4-nitrophenol","title":"Larger larval sea lamprey (Petromyzon marinus) have longer survival times when exposed to the lampricide 3-trifluoromethyl-4-nitrophenol","docAbstract":"Invasive sea lamprey (Petromyzon marinus) in the Laurentian Great Lakes have negatively impacted ecologically and economically important fishes for nearly a century. To mitigate these effects, the lampricide 3-trifluoromethyl-4-nitrophenol (TFM) is applied annually on a rotating basis to selected Great Lakes tributaries to kill larval lamprey before they become juveniles, out-migrate to the lakes, and parasitize other fishes. It has been hypothesized that larval size (e.g., mass, length) may affect survival time in response to TFM. To test this hypothesis, we conducted an experiment with 8611 larvae across four temporal replicates, in which TFM concentrations equivalent to those used in present-day stream treatments were applied for up to 18 h. When examining the survival times of larval lamprey exposed to TFM, we found a significant, positive relationship between length, mass, toxicity, and their interactions. For every 1 mm increase in total length, a corresponding increase by 1 g of mass reduced survival time by 0.4315 min [95 % CI: 0.5283–0.2992] and vice versa (i.e., the significant interaction between length and mass revealed that as larvae increase in mass, the survival benefit to being longer decreases, and vice versa). The changes in total length and mass of larval sea lamprey stored in ethanol for 4 months was also quantified. The observation that five larvae survived well past the 12-hour time window of a typical TFM field treatment highlights the need for continuous monitoring and the development of new control strategies to ensure the continued effective management of this invasive species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102620","usgsCitation":"Nalesnik, A., Martin, E., Kovacs, I., Johnson, C., Carroll, E., Jubar, A.K., Hemstrom, W., Wilkie, M., Dunlop, E.S., Sepulveda, M.S., Johnson, N.S., and Christie, M.R., 2025, Larger larval sea lamprey (Petromyzon marinus) have longer survival times when exposed to the lampricide 3-trifluoromethyl-4-nitrophenol: Journal of Great Lakes Research, v. 51, no. 5, 102620, 8 p., https://doi.org/10.1016/j.jglr.2025.102620.","productDescription":"102620, 8 p.","ipdsId":"IP-168438","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":494523,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":495040,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2025.102620","text":"Publisher Index Page"}],"country":"United 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arundinacea (reed canarygrass) in floodplain forests of the Upper Mississippi River","docAbstract":"Information on the favorable conditions for invasive species as well as potential constraints to their distribution can be valuable for management efforts. We used a niche modeling approach to analyze the patterns of species distributions along gradients of hypothesized influential environmental variables. Many ecological datasets may have incomplete coverage across the environmental gradients, infrequent sampling under some conditions, insufficient time for an invasive species to occupy all sites, and complex interactions among environmental variables (measured or unmeasured) that may result in species response curves that are difficult to interpret and may be ecologically misleading. To ensure the model and species response curves aligned with ecological niche theory, shape constraints were imposed to guarantee relationships follow a unimodal distribution to reflect the fundamental niche (where a species could occur). We compared a shape-constrained model to an unconstrained model and interpreted the species response curves from the constrained model to better characterize the ecological niche of reed canarygrass in floodplain forests of the Upper Mississippi River, USA. We found the probability of reed canarygrass occurrence decreases with increasing tree canopy cover, tree species richness, distance from forest edge, distance from invaded wet meadows, and island isolation. Probability of reed canarygrass presence exhibited bell-shaped curves in response to hydrology (inundation depth, frequency, and duration) and forest stress metrics indicating an optimum with less favorable conditions on either end of the ecological gradients. This information could be used to prioritize restoration efforts and enhance landcover change research in forested floodplains.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s13157-025-01956-2","usgsCitation":"Delaney, J.T., Van Appledorn, M., De Jager, N.R., Bouska, K.L., and Rohweder, J.J., 2025, Characterizing the niche of Phalaris arundinacea (reed canarygrass) in floodplain forests of the Upper Mississippi River: Wetlands, v. 45, 86, 12 p., https://doi.org/10.1007/s13157-025-01956-2.","productDescription":"86, 12 p.","ipdsId":"IP-164703","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":504066,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1NPO8BT","text":"USGS data release","linkHelpText":"Analysis data for reed canarygrass (Phalaris arundinacea) niche modeling in Upper Mississippi River floodplain forest understories"},{"id":503213,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.44020500286925,\n 45.20810051838578\n ],\n [\n -91.09888752607472,\n 41.81975291615561\n ],\n [\n -91.79588050539074,\n 40.07343528894683\n ],\n [\n -90.14935731160756,\n 36.647803520755886\n ],\n [\n -88.93474584520565,\n 37.11378048828301\n ],\n [\n -90.74845311041965,\n 39.84831202944948\n ],\n [\n -89.84649625728352,\n 41.9195697474386\n ],\n [\n -92.01609711969336,\n 45.28516191702806\n ],\n [\n -93.44020500286925,\n 45.20810051838578\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"45","noUsgsAuthors":false,"publicationDate":"2025-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Delaney, John T. 0000-0003-1038-0265","orcid":"https://orcid.org/0000-0003-1038-0265","contributorId":255630,"corporation":false,"usgs":true,"family":"Delaney","given":"John","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":959651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":959652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":959653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":959654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rohweder, Jason J. 0000-0001-5131-9773 jrohweder@usgs.gov","orcid":"https://orcid.org/0000-0001-5131-9773","contributorId":150539,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":959655,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269987,"text":"70269987 - 2025 - Climate and land use drivers of freshwater fish biodiversity in the northeastern United States","interactions":[],"lastModifiedDate":"2025-08-07T15:19:03.836084","indexId":"70269987","displayToPublicDate":"2025-07-28T10:10:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Climate and land use drivers of freshwater fish biodiversity in the northeastern United States","docAbstract":"Freshwater habitats can sustain high biodiversity, but habitat degradation, species invasion, and overexploitation have imperiled freshwater species. The multiple threats to freshwater habitats and changing stream characteristics due to climate change make it challenging to identify the drivers of fish vulnerability, especially given that the importance of drivers may vary by the biodiversity endpoint. The goals of this study were to 1) describe freshwater (lotic) fish biodiversity across northeastern states in the United States, and 2) identify geographic, climate, and land use drivers of fish biodiversity, toward improving freshwater fish conservation. We predicted habitat suitability for 53 fish species using survey data and corresponding geographic, climate, and land use data. After model fitting, we grouped species using a traditional approach based on traits and a new approach using modeled streamflow and stream temperature to create clusters. We found that climate and land use vulnerable groups did not always have similar geographic patterns or relationships to the climate or land use variables, suggesting that biota vulnerable to changing conditions may be overlooked by reliance on predefined guilds to set conservation goals. Biodiversity groups that were vulnerable to climate variables were also related to land use variables that can be used to identify restoration opportunities. This approach may be useful for managers interested in holistic freshwater management under changing stream conditions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2025.111337","usgsCitation":"Rogers, J.B., DiRenzo, G.V., Quiñones, R.M., Richards, T., and Roy, A.H., 2025, Climate and land use drivers of freshwater fish biodiversity in the northeastern United States: Biological Conservation, v. 310, 111337, 18 p., https://doi.org/10.1016/j.biocon.2025.111337.","productDescription":"111337, 18 p.","ipdsId":"IP-172448","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, 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the changes are compared to natural variations. This premise served as motivation to collect sediment cores during the summer of 2022 at four sites on the Canadian continental shelf and Alaskan upper continental slope to reconstruct changes in the marine and terrestrial environments to provide a comprehensive picture of the ocean environment during the preindustrial period before anthropogenic influences. We dated the sediments based on the 137Cs radioactivity of bulk sediments and the 14C concentrations of mollusk shells. The 137Cs radioactivity shows a distinct onset corresponding to 1950 Common Era (CE) and the most prominent peak corresponding to 1963 CE. Multiple peaks appeared above the most prominent one, coinciding with nuclear power plant accidents in 1986 and 2011. Inventories of excess 210Pb in all cores exceed the estimated supply of excess 210Pb from atmospheric deposition, likely due to the scavenging supply of excess 210Pb. By comparing 137Cs and radiocarbon conventional ages, we estimated the local radiocarbon reservoir age value of each site. Using these local radiocarbon reservoir age and the conventional ages of mollusk shell samples, we established the age-depth models by the Bayesian method. The optimal ΔR values were 598, 511, 65, and –60 years at the MT1, MT2, BC2, and BC2-2 sites, respectively. The cores consist of clayey silts continuously deposited with uniquely high sedimentation rates of 0.17 to 0.74 cm y−1. Variation in the Ca/Ti ratio indicates ~ 20, ~ 30, 50–60, 100–125, and 300-year cycles, likely attributed to the variation in the Aleutian Low that controls the Bering Strait inflow of Pacific waters influencing our core sites. These sediments will be used for further high-resolution, multi-proxy studies with forthcoming results.
","language":"English","publisher":"Springer","doi":"10.1186/s40645-025-00734-2","usgsCitation":"Yamamoto, M., Suzuki, K., Murayama, M., Gemery, L., Seike, K., Polyak, L., Joe, Y., Uchida, S., Kobayashi, M., Onodera, J., Horikawa, K., Yamamoto, Y., Omori, T., Kuwae, M., Irino, T., Watanabe, Y., Itoh, M., and Watanabe, E., 2025, Rapid Holocene deposition in the Mackenzie Trough and Barrow Canyon areas in the western Arctic Ocean: Progress in Earth and Planetary Science, v. 12, 62, 26 p., https://doi.org/10.1186/s40645-025-00734-2.","productDescription":"62, 26 p.","ipdsId":"IP-174110","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":493325,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40645-025-00734-2","text":"Publisher Index Page"},{"id":493110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"western Arctic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -130,\n 74\n ],\n [\n -170,\n 74\n ],\n [\n -170,\n 64\n ],\n [\n -130,\n 64\n ],\n [\n -130,\n 74\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Yamamoto, Masanobu 0000-0003-1312-825X","orcid":"https://orcid.org/0000-0003-1312-825X","contributorId":260119,"corporation":false,"usgs":false,"family":"Yamamoto","given":"Masanobu","email":"","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":944233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suzuki, 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University","active":true,"usgs":false}],"preferred":false,"id":944232,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Itoh, Motoyo","contributorId":358896,"corporation":false,"usgs":false,"family":"Itoh","given":"Motoyo","affiliations":[],"preferred":false,"id":944370,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Watanabe, Eiji","contributorId":358897,"corporation":false,"usgs":false,"family":"Watanabe","given":"Eiji","affiliations":[],"preferred":false,"id":944371,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70275029,"text":"70275029 - 2025 - Estimating polar bear (Ursus maritimus) age based on an epigenetic DNA methylation clock","interactions":[],"lastModifiedDate":"2026-04-13T14:58:53.110828","indexId":"70275029","displayToPublicDate":"2025-07-28T09:56:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Estimating polar bear (Ursus maritimus) age based on an epigenetic DNA methylation clock","title":"Estimating polar bear (Ursus maritimus) age based on an epigenetic DNA methylation clock","docAbstract":"Knowledge of animal age is essential to wildlife managers for obtaining meaningful and accurate insights into demographic parameters. A common approach to aging wildlife, including bears (Ursus spp.), has been extracting a tooth during physical capture and counting the cementum annuli. Limitations to tooth-based aging include questionable accuracy and differing results based on the observer and laboratory. DNA methylation-based epigenetic aging clocks have been developed for many species but not yet for polar bears (Ursus maritimus). We generated DNA methylation data from whole blood samples (n = 109) obtained during live capture operations from polar bears of known age in the Chukchi Sea and southern Beaufort Sea subpopulations. We used these samples to calibrate a species-specific epigenetic clock to estimate polar bear chronological age from DNA methylation (DNAm) age. The final polar bear clock was highly accurate (r = 0.97) with a median absolute error of approximately 9 months. We applied the polar bear clock to 74 blood samples from live-captured polar bears with a cementum annuli-estimated age. Predicted age estimates for these bears ranged from 1.43 to 18.63 years compared to the estimated tooth age range of 3.23–25.27. These epigenetic clocks can be used for polar bear research and management where accurate estimates of age are needed for estimating demographic parameters.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71870","usgsCitation":"Woodruff, S.P., Milciute, M., Gordevicius, J., Brooke, R., and Atwood, T.C., 2025, Estimating polar bear (Ursus maritimus) age based on an epigenetic DNA methylation clock: Ecology and Evolution, v. 15, no. 8, e71870, 10 p., https://doi.org/10.1002/ece3.71870.","productDescription":"e71870, 10 p.","ipdsId":"IP-172796","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":502997,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71870","text":"Publisher Index Page"},{"id":502743,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Woodruff, Susannah P.","contributorId":292629,"corporation":false,"usgs":false,"family":"Woodruff","given":"Susannah","email":"","middleInitial":"P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":959259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milciute, Milda","contributorId":369838,"corporation":false,"usgs":false,"family":"Milciute","given":"Milda","affiliations":[{"id":87875,"text":"Clock Foundation","active":true,"usgs":false}],"preferred":false,"id":959260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gordevicius, Juozas","contributorId":369839,"corporation":false,"usgs":false,"family":"Gordevicius","given":"Juozas","affiliations":[{"id":87875,"text":"Clock Foundation","active":true,"usgs":false}],"preferred":false,"id":959261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooke, Robert","contributorId":369840,"corporation":false,"usgs":false,"family":"Brooke","given":"Robert","affiliations":[{"id":87875,"text":"Clock Foundation","active":true,"usgs":false}],"preferred":false,"id":959262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":959263,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272633,"text":"70272633 - 2025 - Arctic fold-and-thrust belts","interactions":[],"lastModifiedDate":"2025-12-01T15:34:30.143513","indexId":"70272633","displayToPublicDate":"2025-07-28T09:28:15","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Arctic fold-and-thrust belts","docAbstract":"The modern Arctic has been formed through a series of continent–continent collisions, accretion of terranes and phases of crustal extension. The Neoproterozoic Timanian, Paleozoic Caledonian and Uralian, and late Mesozoic Verkhoyansk–Kolyma, Chukotkan and Brookian orogenies formed several large fold-and-thrust belts (FTBs). The FTBs are exposed across vast areas of continents and continue offshore to form a complex tectonic basement for thick sedimentary basins, playing an important role in the history of accumulation and deformation of younger unmetamorphosed sedimentary successions that are the subject of this volume. Recognition of the importance of FTBs in the Arctic geological history and their role as a controlling factor of development of Arctic sedimentary basins resulted in this chapter, in which we review the current state of knowledge about Arctic FTBs and highlight questions that remain to be addressed. Enclosure D, a map showing boundaries of the FTB and their internal first-order structural fabric, is a part of the overview.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geological Society of London Memoir","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of London","doi":"10.1144/M57-2023-30","usgsCitation":"Drachev, S.S., Khudoley, A.K., Klonowska, I., Majka, J., Moore, T.E., Piepjohn, K., and Prokopiev, A.V., 2025, Arctic fold-and-thrust belts, chap. of Geological Society of London Memoir, v. 57, p. 42-96, https://doi.org/10.1144/M57-2023-30.","productDescription":"55 p.","startPage":"42","endPage":"96","ipdsId":"IP-158726","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":497080,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1144/m57-2023-30","text":"Publisher Index Page"},{"id":496948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -179.9,\n 89\n ],\n [\n -179.9,\n 55\n ],\n [\n 179.9,\n 55\n ],\n [\n 179.9,\n 89\n ],\n [\n -179.9,\n 89\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"57","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Drachev, Sergey S.","contributorId":363067,"corporation":false,"usgs":false,"family":"Drachev","given":"Sergey","middleInitial":"S.","affiliations":[{"id":86605,"text":"ArcGeoLink Ltd Surrey, UK (currently Estonia)","active":true,"usgs":false}],"preferred":false,"id":951055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khudoley, Andrey K.","contributorId":363068,"corporation":false,"usgs":false,"family":"Khudoley","given":"Andrey","middleInitial":"K.","affiliations":[{"id":86606,"text":"Institute of Earth Science, St Petersburg State University, Russia","active":true,"usgs":false}],"preferred":false,"id":951056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klonowska, Iwona","contributorId":363069,"corporation":false,"usgs":false,"family":"Klonowska","given":"Iwona","affiliations":[{"id":86607,"text":"Department of Earth Sciences, Uppsala University, Uppsala Sweden","active":true,"usgs":false}],"preferred":false,"id":951057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Majka, Jaroslaw","contributorId":363070,"corporation":false,"usgs":false,"family":"Majka","given":"Jaroslaw","affiliations":[{"id":86608,"text":"Faculty of Geology, Geophysics and Environmental Protection, AGJ University of Science and Technology, Kraków, Poland","active":true,"usgs":false}],"preferred":false,"id":951058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":127538,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":951059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piepjohn, Karsten","contributorId":363071,"corporation":false,"usgs":false,"family":"Piepjohn","given":"Karsten","affiliations":[{"id":86609,"text":"Federal Institute for Geosciences and Natural Resources, Stilleweg 2, Hannover, Germany","active":true,"usgs":false}],"preferred":false,"id":951060,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prokopiev, Andrey V.","contributorId":363072,"corporation":false,"usgs":false,"family":"Prokopiev","given":"Andrey","middleInitial":"V.","affiliations":[{"id":86610,"text":"Siberian Branch of the Russian Academy of Sciences, Yakutsk, Russia","active":true,"usgs":false}],"preferred":false,"id":951061,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70269681,"text":"70269681 - 2025 - Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (Anser caerulescens) movement ecology","interactions":[],"lastModifiedDate":"2025-07-30T14:30:39.246941","indexId":"70269681","displayToPublicDate":"2025-07-28T09:25:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (Anser caerulescens) movement ecology","title":"Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (Anser caerulescens) movement ecology","docAbstract":"While wild waterfowl are known reservoirs of avian influenza viruses and facilitate the movement of these viruses, there are notable differences in the response to infection across species. This study explored differential responses to infection with highly pathogenic avian influenza in Snow Geese (Anser caerulescens) located in the California Central Valley. Though H5 antibody prevalence was high across years among birds sampled in the winter (75% in both years via hemagglutination inhibition), these values were even higher among birds sampled in summer that failed to migrate (i.e., August 2023 = 100% and August 2024 = 93% via hemagglutination inhibition). Birds that failed to migrate were also generally lighter than birds sampled in the winter and presented notable damage to cerebrum and cerebellum. In December 2022, a single individual positive for infection with H5N1 at the time of sampling indicated reduced movement during the 14 days following sampling but completed spring migration comparably with uninfected conspecifics. However, while no birds were actively infected during sampling and marking in 2023, two marked geese departed for migration late and one did not migrate at all. Additional banded birds marked in August have been reencountered in scenarios ranging from hunter harvest at a different site over a year later to found dead shortly after banding. Our data indicate that Snow Geese infected with HPAI have the potential to express variable outcomes following infection with highly pathogenic H5N1, ranging from rapid recovery within a migratory season to death. These data also suggest that the abnormal failure of some Snow Geese to migrate from the Central Valley is likely driven by HPAI infection.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0328149","usgsCitation":"Sullivan, J.D., Casazza, M.L., Poulson, R., Matchett, E., Overton, C.T., Carpenter, M., Lorenz, A., McDuie, F., Derico, M., Howerth, E., Stallknecht, D., and Prosser, D., 2025, Potential impacts of 2.3.4.4b highly pathogenic H5N1 avian influenza virus infection on Snow Goose (Anser caerulescens) movement ecology: PLoS ONE, v. 20, no. 7, e0328149, 15 p., https://doi.org/10.1371/journal.pone.0328149.","productDescription":"e0328149, 15 p.","ipdsId":"IP-176525","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":494435,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0328149","text":"Publisher Index Page"},{"id":493180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Colusa County","otherGeospatial":"Delevan National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.1179602209491,\n 39.34364395946329\n ],\n [\n -122.1179602209491,\n 39.271203995112444\n ],\n [\n -122.07387656727536,\n 39.271203995112444\n ],\n [\n -122.07387656727536,\n 39.34364395946329\n ],\n [\n -122.1179602209491,\n 39.34364395946329\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":944402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":944403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":944404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":944405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research 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0000-0002-1948-5613","orcid":"https://orcid.org/0000-0002-1948-5613","contributorId":222936,"corporation":false,"usgs":true,"family":"McDuie","given":"Fiona","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":944409,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Derico, Michael","contributorId":354801,"corporation":false,"usgs":false,"family":"Derico","given":"Michael","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":944410,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Howerth, Elizabeth","contributorId":354802,"corporation":false,"usgs":false,"family":"Howerth","given":"Elizabeth","affiliations":[{"id":56897,"text":"University of Geogia","active":true,"usgs":false}],"preferred":false,"id":944411,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stallknecht, David E.","contributorId":225107,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David E.","affiliations":[{"id":36701,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":944412,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":944413,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70269649,"text":"70269649 - 2025 - Dietary bioavailability of uranium to a model freshwater invertebrate","interactions":[],"lastModifiedDate":"2025-08-18T15:16:58.955799","indexId":"70269649","displayToPublicDate":"2025-07-28T09:11:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Dietary bioavailability of uranium to a model freshwater invertebrate","docAbstract":"Uranium (U) mining increases environmental exposures. Understanding how U is taken up by organisms can aid in evaluating the potential for bioaccumulation and toxicity. Although the importance of aqueous geochemical speciation is well recognized for U bioavailability after dissolved exposures, far less is known about the processes controlling U bioavailability after dietary exposures. This study characterizes the biogeochemical drivers of dietary U uptake in the freshwater snail Lymnaea stagnalis in laboratory experiments. Solids tested included benthic diatoms pre-exposed to dissolved U(VI), soils from contaminated U mine sites, and colloidal hydrous ferric oxide (HFO) synthesized in the presence of dissolved U(VI) or with U complexed by natural organic matter (NOM). Results showed that U was bioavailable from all solids. Uranium assimilation efficiency (AE), a proxy for dietary U bioavailability, varied among solids. AE was lowest for the U-contaminated soils (25 ± 17%) and highest for the U-laden diatoms (71 ± 13%). AE varied slightly among HFO preparations, suggesting modest influences of NOM and iron on U bioavailability. Increases in dietary U exposures reduced feeding rates, and the extent of feeding inhibition appeared inversely related to U bioavailability. The high U assimilation and range of bioavailability have implications for toxicity risks inferred without considering dietary uptake.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5c05140","usgsCitation":"Croteau, M.N., Fuller, C.C., Cain, D.J., and Campbell, K.M., 2025, Dietary bioavailability of uranium to a model freshwater invertebrate: Environmental Science and Technology, v. 59, no. 31, p. 16641-16651, https://doi.org/10.1021/acs.est.5c05140.","productDescription":"11 p.","startPage":"16641","endPage":"16651","ipdsId":"IP-172293","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":493091,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"31","noUsgsAuthors":false,"publicationDate":"2025-07-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":944277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":944278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":944279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":944280,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270898,"text":"70270898 - 2025 - Suturing fragmented landscapes: Mosaic hybrid zones in plants may facilitate ecosystem resiliency","interactions":[],"lastModifiedDate":"2025-08-26T16:02:58.223558","indexId":"70270898","displayToPublicDate":"2025-07-28T08:58:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Suturing fragmented landscapes: Mosaic hybrid zones in plants may facilitate ecosystem resiliency","docAbstract":"Many widespread plant taxa of western North America have diversified into phenotypically and genetically divergent lineages due to complex biogeographic histories across heterogeneous landscapes. Mosaic hybrid zones can form when geographically co-occurring, yet environmentally distinct, lineages cross-pollinate and form hybrids that occupy unique environmental niches absent of a geographic cline. This expands the total environmental space across which parental and hybrid individuals grow, resulting in larger, less fragmented geographic distributions. Here, we highlight hybridization mosaics across three study systems containing taxa critical to widespread plant communities in western North America: Ericameria nauseosa, Artemisia tridentata, and Sphaeralcea fendleri. The systems contain diverged taxa that co-occur across the landscape and hybridize readily. Hybridization among taxa has facilitated niche expansion into intermediate environments consistent with unique combinations of adaptive genetic variation, creating more continuity within each study system—study systems occupy ~820 to 270,000 km2 more geographic area by virtue of hybridization. Furthermore, hybrids are predicted to play important roles in future climates, as they may occupy 8 to 475% larger distributions compared to present. Convergent patterns signal mosaic hybridization as an underappreciated mechanism with broad ecological and evolutionary ramifications. Leveraging mosaic hybridization may assist the creation of restoration management plans that aim to mitigate the deleterious effects of habitat fragmentation on ecosystems in the context of climate change.
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