Retrospective datasets offer essential context for conservation by revealing species’ ecological roles before industrial-era human impacts. We analysed isotopic compositions of pre-industrial and modern sea otters (Enhydra lutris) to reconstruct pre-extirpation ecology and offer insights for management. Our study focuses on southeast Alaska (SEAK), where sea otters are recolonizing, and northern Oregon, where translocations are being considered. We measured bulk bone collagen δ13C and δ15N values and essential amino acid δ13C values of extirpated sea otters from archaeological contexts, and bulk isotopic values from vibrissae of modern SEAK sea otters. We compare these results with published isotopic data of potential prey and additional archaeological datasets. In SEAK, our data show pre-industrial sea otter populations consumed infaunal bivalves and used soft-sediment (33%) and kelp forest habitats (67%), with sub-regional variation. We anticipate current populations will expand into this historical niche, and conflict with regional traditional/subsistence bivalve fisheries will persist. In northern Oregon, isotopic data from extirpated sea otters indicate past consumption of low trophic level invertebrates and a stronger reliance on kelp forests (88%) rather than soft-sediment habitats, highlighting the importance of kelp forests for future translocations. Our work exemplifies the value of historical ecology in informing conservation strategies for recovering species.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2024.1682","usgsCitation":"Elliott Smith, E.A., Moss, M., Wellman, H., Gill, V., Monson, D., and Newsome, S.D., 2025, Forecasting sea otter recolonization: Insights from isotopic analysis of modern and zooarchaeological populations: Proceedings of the Royal Society B, Biological Sciences, v. 292, no. 2039, 20241682, 12 p., https://doi.org/10.1098/rspb.2024.1682.","productDescription":"20241682, 12 p.","ipdsId":"IP-162071","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":499595,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11775623/","text":"External Repository"},{"id":481502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.26359877499726,\n 46.308565616179806\n ],\n [\n -124.26359877499726,\n 45.25430222380987\n ],\n [\n -123.48250866767472,\n 45.25430222380987\n ],\n [\n -123.48250866767472,\n 46.308565616179806\n ],\n [\n -124.26359877499726,\n 46.308565616179806\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -134.6258986222449,\n 59.17859339162297\n ],\n [\n -137.37101203559084,\n 58.25218310558745\n ],\n [\n -133.21606440626744,\n 54.52221277170722\n ],\n [\n -131.50965539994962,\n 54.47095791058172\n ],\n [\n -130.7340511065769,\n 55.94266269565489\n ],\n [\n -134.6258986222449,\n 59.17859339162297\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"292","issue":"2039","noUsgsAuthors":false,"publicationDate":"2025-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott Smith, Emma A.","contributorId":140743,"corporation":false,"usgs":false,"family":"Elliott Smith","given":"Emma","email":"","middleInitial":"A.","affiliations":[{"id":13339,"text":"University of New Mexico, Albuquerque","active":true,"usgs":false}],"preferred":false,"id":925637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moss, Madonna L.","contributorId":350305,"corporation":false,"usgs":false,"family":"Moss","given":"Madonna L.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":925638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wellman, Hannah P.","contributorId":350306,"corporation":false,"usgs":false,"family":"Wellman","given":"Hannah P.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":925639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gill, Verena A.","contributorId":140658,"corporation":false,"usgs":false,"family":"Gill","given":"Verena A.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":925640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monson, Daniel 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":196670,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":925641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newsome, Seth D.","contributorId":81640,"corporation":false,"usgs":false,"family":"Newsome","given":"Seth","email":"","middleInitial":"D.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":925642,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263340,"text":"70263340 - 2025 - The effectiveness of wildfire at meeting restoration goals across a fire severity gradient in the Sierra Nevada","interactions":[],"lastModifiedDate":"2025-02-06T15:23:26.879574","indexId":"70263340","displayToPublicDate":"2025-01-29T09:17:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"The effectiveness of wildfire at meeting restoration goals across a fire severity gradient in the Sierra Nevada","docAbstract":"As a consequence of both warming temperatures and over a century of fire suppression, wildfires in the historically frequent-fire forests of the western US have increased both in size and intensity, resulting in large patches of high severity fire that are well outside the historic range of variation. Postfire fuels research has often focused on such high severity patches because of the risk of both type conversion and repeated high severity fire. Yet a substantial portion of any given wildfire will likely still have burned at low to moderate severity. These areas generally retain live mature trees and surface fuels, suggesting that wildfire effects may be in keeping with some forest restoration goals. To better understand the range of postfire fuels conditions across severity classes and how well those conditions align with restoration targets, we sampled three wildfires in mixed conifer forests and giant sequoia groves of the southern Sierra Nevada. These wildfires appear to have met short-term restoration goals for surface fuel reduction, with burned areas having 79.5 % less fuels than unburned areas. Fine woody debris and litter and duff declined with severity, while coarse woody debris was more variable. Small tree density targets were roughly met after low and moderate severity fire, but large tree densities tended to be lower than restoration targets, possibly due to high levels of recent tree mortality. For long-term management, restoration plans set targets for the proportions of the landscape that should be in different fuel load categories, reflecting patterns shaped by many frequent and patchy fires. Observed post-wildfire surface fuels outside of groves were overwhelmingly in the lowest fuels category across severity classes, which is in keeping with short-term goals to reduce surface fuels but is not necessarily contributing to the heterogeneity desired at landscape scales. Surface fuels within giant sequoia groves were higher than those outside groves and therefore more closely matched long-term management targets for variation in fuel loads. However, for a highly valued species that has recently seen substantial losses to high severity fire, managers may find that these higher fuel loads are not desirable even in a landscape context. In summary, low and moderate severity wildfire appear to have beneficial effects in terms of meeting several management goals, however, the large amount of standing postfire fuels, the relative dearth of large trees, and the potential lack of postfire fuel heterogeneity may still pose potential management concerns.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2024.122486","usgsCitation":"Das, A., Rosenthal, L., and Shive, K.L., 2025, The effectiveness of wildfire at meeting restoration goals across a fire severity gradient in the Sierra Nevada: Forest Ecology and Management, v. 580, https://doi.org/10.1016/j.foreco.2024.122486.","productDescription":"122486, 14 p.","startPage":"122486","ipdsId":"IP-170573","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":487023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2024.122486","text":"Publisher Index Page"},{"id":481738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Kings Canyon National Park, Sequoia National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.9,\n 36.7\n ],\n [\n -118.9,\n 36.3\n ],\n [\n -118.3,\n 36.3\n ],\n [\n -118.3,\n 36.7\n ],\n [\n -118.9,\n 36.7\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"580","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":926519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenthal, Lisa 0000-0003-4030-7587","orcid":"https://orcid.org/0000-0003-4030-7587","contributorId":350637,"corporation":false,"usgs":false,"family":"Rosenthal","given":"Lisa","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":926520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shive, Kristen L.","contributorId":194877,"corporation":false,"usgs":false,"family":"Shive","given":"Kristen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":926521,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70269526,"text":"70269526 - 2025 - What 25+ years of \"Did You Feel It\" intensities tell us about shaking in California","interactions":[],"lastModifiedDate":"2025-07-25T13:32:19.484813","indexId":"70269526","displayToPublicDate":"2025-01-29T08:28:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"What 25+ years of \"Did You Feel It\" intensities tell us about shaking in California","docAbstract":"“When will the Big One happen?” is a question that people often have for earthquake scientists. But while waiting for the “Big One” to occur, people will usually experience frightening or damaging shaking from multiple relatively smaller‐magnitude earthquakes. Given this context, it raises the question: “Where does most of the damage come from?” Could smaller, yet more frequent, earthquakes account for the majority of reported impactful shaking? To explore this question, we consider reports of earthquake damage and felt shaking experiences from a catalog of community‐collected intensity values from the U.S. Geological Survey’s “Did You Feel It?” system. Comparing these intensities to expectations from a ground‐motion model, we find that earthquakes of magnitudes smaller than expected are responsible for most reported intensities of community decimal intensities (CDI) 4.5 and above (moderate and higher shaking intensity levels). (Here “expected value” is meant in its mathematical sense of the mean or equivalently median shaking intensity.) We also present a regional analysis of observed earthquake shaking for specific areas, detailing the maximum intensity experienced within a predetermined area. We identify several instances of M < 4.5 events that generated maximum intensities of CDI > 5 in regions in California surrounding the cities of Eureka, San Francisco, Los Angeles, and San Diego. Our results motivate the need to include smaller‐magnitude earthquakes in communications about earthquake hazard and risk reduction.
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vinceq@usgs.gov","orcid":"https://orcid.org/0000-0003-4157-1101","contributorId":2582,"corporation":false,"usgs":true,"family":"Quitoriano","given":"Vince","email":"vinceq@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943977,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943978,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Blair, James Luke 0000-0002-6980-6446","orcid":"https://orcid.org/0000-0002-6980-6446","contributorId":213724,"corporation":false,"usgs":true,"family":"Blair","given":"James","email":"","middleInitial":"Luke","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943979,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70262822,"text":"sir20245105 - 2025 - Groundwater hydrology, groundwater and surface-water interactions, water quality, and groundwater-flow simulations for the Wet Mountain Valley alluvial aquifer, Custer and Fremont Counties, Colorado, 2017–19","interactions":[],"lastModifiedDate":"2025-01-29T14:30:56.495951","indexId":"sir20245105","displayToPublicDate":"2025-01-28T12:40:00","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":"2024-5105","displayTitle":"Groundwater Hydrology, Groundwater and Surface-Water Interactions, Water Quality, and Groundwater-Flow Simulations for the Wet Mountain Valley Alluvial Aquifer, Custer and Fremont Counties, Colorado, 2017–19","title":"Groundwater hydrology, groundwater and surface-water interactions, water quality, and groundwater-flow simulations for the Wet Mountain Valley alluvial aquifer, Custer and Fremont Counties, Colorado, 2017–19","docAbstract":"In 2017, the U.S. Geological Survey, in cooperation with the Upper Arkansas Water Conservancy District, began a study to provide a comprehensive analysis of the Wet Mountain Valley alluvial aquifer, Custer and Fremont Counties, Colorado. The study included collection of data pertaining to groundwater hydrology, groundwater and surface-water interactions, and water quality in the alluvial aquifer. In addition to providing foundational information on the hydrology of the alluvial aquifer, a numerical groundwater-flow model was developed to estimate the potential effects of additional storage of groundwater in the alluvial aquifer.
Groundwater-level elevation data from 30 wells were used to estimate groundwater-flow directions in the alluvial aquifer, which were generally from the southwest to northeast, away from the Sangre de Cristo Mountains and towards perennial streams in the center of the valley. Although some seasonal variation was apparent in groundwater-level elevation records, no statistically significant seasonal trends were indicated. Statistically significant long-term trends were indicated in groundwater-level elevation records for 8 of the 30 wells, and of these wells with statistically significant trends, all but 1 indicated a negative trend of groundwater-level elevations. Spatial evaluation of wells with statistically significant negative groundwater-level elevation trends showed many are in areas of denser well drilling for domestic or other uses, indicating increasing groundwater use could potentially be causing groundwater-level elevation declines. There were instances of wells with no statistically significant groundwater-level elevation trends also located in areas of greater density of well completions. Additional investigations may be necessary to more fully characterize the processes responsible for negative groundwater-level elevation trends.
Streamflow gain or loss calculations were completed for low flow in 2017–19 and for high flow in 2018 in nine reaches of streams within the study area. Stream reaches of the upper Texas Creek, upper Grape Creek, upper-middle Grape Creek, and Taylor Creek displayed consistent streamflow loss in each period from 2017 to 2019. These stream reaches represent long-term sources of recharge to the alluvial aquifer. Streamflow gain or loss varies through time in other stream reaches (lower Texas Creek, lower-middle Grape Creek, lower Grape Creek below Westcliffe, and lower Grape Creek above DeWeese Reservoir). The temporally variable behavior indicates these stream reaches may be sources of groundwater recharge or areas of groundwater discharge, likely depending on temporal dynamics between the elevation of the water table and the stream.
Water-quality samples were collected from 10 groundwater wells and 10 stream sites during September through November 2019. All groundwater and stream samples were analyzed for major and trace elements and stable isotopes of water. A subset of groundwater samples was also analyzed for the environmental tracers sulfur hexafluoride, tritium, and noble gases. Comparison of water-quality results to U.S. Environmental Protection Agency drinking water-quality standards indicated no constituents exceeded primary standards for human health. Spatial evaluation of water quality indicated the concentrations of various constituents are likely controlled by groundwater and surface-water interactions and by spatial variability in bedrock geology underlying the alluvial aquifer. Specifically, streams shown to gain from groundwater had water chemistry constituent compositions similar to groundwater, whereas streams exiting the Sangre de Cristo Mountains tended to have compositions consistent with snowmelt. Groundwater geochemistry appeared to be partially controlled by oxidation-reduction processes and by proximity to igneous rocks in the Wet Mountains. Environmental tracers used to estimate groundwater age indicated all sampled groundwater contained tracers representing modern recharge (approximately less than 65 years old) but mixing of premodern recharge (approximately more than 65 years old) also occurs. Spatial evaluation of environmental tracers indicated large faults may be conduits for upwelling of older groundwater. No trends were observed in groundwater age with well depth, indicating all sampled wells are located within the zone of active groundwater flow. The presence of modern groundwater in wells with statistically significant negative groundwater-level elevation trends indicates groundwater storage depletions may be partially offset by capture of modern recharge. Repeated sampling of groundwater age would be necessary, however, to determine if any trends in groundwater age exist, which may indicate changing groundwater recharge, storage, or discharge. Additional investigations could also consider quantifying groundwater age in deeper wells to more fully define the depth of active groundwater flow.
A numerical groundwater-flow model was developed to estimate components of the water budget, simulate groundwater and surface-water interactions, and evaluate the potential effects of aquifer storage and recovery. Simulated groundwater-level elevations from the calibrated groundwater-flow model are similar to the observed pattern of groundwater-level elevations with higher elevations in the western part of the study area along the Sangre de Cristo Mountains. Simulated water-budget components indicate most of the recharge to the alluvial aquifer is derived from streamflow losses, which is consistent with observations of losing streams along the mountain front. The largest groundwater discharge component of the alluvial aquifer was to streams in the center of the valley, where observations of stream gain or loss indicated the predominance of gaining conditions. Comparison of groundwater and surface-water interactions between the calibrated groundwater-flow model for 2000-19 (the base-case model) and a simulation including additional recharge, representing potential aquifer storage and recovery operations, indicated the additional recharge distributed throughout the area had minimal effects on streamflow in the nearby Grape Creek. An analysis of subregional groundwater budgets showed approximately 54 percent of the additional recharge flowed back to nearby Grape Creek, and the other 46 percent was distributed laterally into adjacent cells in the alluvial aquifer. The comparison of simulations and subregional water budget show the additional recharge did not substantially alter groundwater-level elevations or basin wide groundwater storage. Although the analysis of additional recharge provided in the numerical groundwater-flow model considers only one of many possible recharge scenarios, the model provides a useful tool that could be modified for various scenarios to understand potential effects of managed aquifer recharge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20245105","collaboration":"Prepared in cooperation with the Upper Arkansas Water Conservancy District","usgsCitation":"Newman, C.P., Russell, C.A., Kisfalusi, Z.D., and Paschke, S.S., 2025, Groundwater hydrology, groundwater and surface-water interactions, water quality, and groundwater-flow simulations for the Wet Mountain Valley alluvial aquifer, Custer and Fremont Counties, Colorado, 2017–19: U.S. Geological Survey Scientific Investigations Report 2024–5105, 62 p., https://doi.org/10.3133/sir20245105.","productDescription":"Report: vii, 62 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-125470","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":481114,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5105/coverthb.jpg"},{"id":481115,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5105/sir20245105.pdf","text":"Report","size":"12.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5105"},{"id":481144,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9342SSP","text":"USGS data release","linkHelpText":"Environmental tracer model for the Wet Mountain Valley alluvial aquifer, Custer and Fremont Counties, Colorado, 2019"},{"id":481145,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AAUGNY","text":"USGS data release","linkHelpText":"Groundwater-flow model of the Wet Mountain Valley alluvial aquifer, Custer and Fremont Counties, Colorado"},{"id":481407,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5105/images"},{"id":481408,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5105/sir20245105.xml"},{"id":481417,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245105/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5105"}],"country":"United States","state":"Colorado","county":"Custer County, Fremont County","otherGeospatial":"Upper Arkansas River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.1667,\n 38.5\n ],\n [\n -105.1667,\n 37.9167\n ],\n [\n -105.9167,\n 37.9167\n ],\n [\n -105.9167,\n 38.5\n ],\n [\n -105.1667,\n 38.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
In the upper midwestern United States, coregonine fishes (e.g., ciscoes and whitefishes) have provided a key food source for Indigenous peoples since time immemorial. In the last century, however, several anthropogenic stressors including overfishing, declining quality of key habitat (e.g., dams, algal blooms), and negative interactions with invasive species have led to declines in the fisheries that coregonines support. Hence, fishery managers have undertaken steps to conserve existing diversity or re-introduce species that have been locally extirpated. This study assessed the extent to which changes in water clarity and climate pose challenges for conservation of coregonines and sought to provide information to inform management decisions about which populations would be best for reintroduction. Through experiments, we found that a Cisco (Coregonus artedi) population at the southern edge of its range had no marked advantages in respiration or thermal tolerance, relative to a northern Great Lake population. This result indicates that the latter population would be a reasonable candidate for reintroduction in Lake Erie, where warming water could be a potential impediment. Other laboratory experiments revealed that Cisco could be vulnerable to increasing ultraviolet radiation (UV; 280 – 320 nm) penetration in lakes due to reduced ice cover and increased water clarity owing to water quality improvements and/or invasive mussel filtration. Our experiments found that UV exposure causes earlier hatching, more irregular pigmentation near the head and yolk-sac region, and reduced heart rate. Therefore, UV could be a heretofore unrealized threat to Cisco populations. Through the completion of additional final products from this project and additional research connecting laboratory and field data together, the extent to which the eggs and larvae of coregonine species could be vulnerable to increased UV associated with increasing water clarity or reduced ice cover will help inform restoration or conservation planning for these fish.
","language":"English","publisher":"Midwest Climate Adaptation Science Center","usgsCitation":"Bunnell, D., Berry, N., Simonson, M.A., Madenjian, C.P., Keeler, K., Schmitt, J., Lynch, A., Hansen, G., Overholt, E., Jacobson, P., Schoenbeck, C., Williamson, C.E., and Ahrenstorff, T., 2025, Evaluating how changing climate and water clarity can affect restoration of native coregonine fishes in midwestern lakes: Cooperator Report, 13 p.","productDescription":"13 p.","ipdsId":"IP-174896","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":492388,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/5e2f3f59e4b0a79317d422af/60ba6641d34e86b9388d8fd7"},{"id":501177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bunnell, David 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":217344,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":943297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Nicole Lynn 0000-0002-7889-197X","orcid":"https://orcid.org/0000-0002-7889-197X","contributorId":347450,"corporation":false,"usgs":true,"family":"Berry","given":"Nicole Lynn","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":943298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simonson, Martin Albert 0000-0002-1284-8055","orcid":"https://orcid.org/0000-0002-1284-8055","contributorId":343964,"corporation":false,"usgs":true,"family":"Simonson","given":"Martin","email":"","middleInitial":"Albert","affiliations":[{"id":324,"text":"Great Lakes Science 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0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":943302,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":943303,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hansen, Gretchen","contributorId":174810,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","affiliations":[{"id":6964,"text":"Minnesota Department of Natural 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Resources","active":true,"usgs":false}],"preferred":false,"id":943307,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Williamson, Craig E.","contributorId":146436,"corporation":false,"usgs":false,"family":"Williamson","given":"Craig","email":"","middleInitial":"E.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":943308,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ahrenstorff, Tyler D. 0000-0003-0032-8746","orcid":"https://orcid.org/0000-0003-0032-8746","contributorId":347470,"corporation":false,"usgs":false,"family":"Ahrenstorff","given":"Tyler D.","affiliations":[{"id":83163,"text":"Minnesota Dept. of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":943309,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70263237,"text":"70263237 - 2025 - The importance of method selection when estimating diet composition with quantitative fatty acid signature analysis","interactions":[],"lastModifiedDate":"2025-02-03T16:00:18.361919","indexId":"70263237","displayToPublicDate":"2025-01-28T09:38:52","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}},"title":"The importance of method selection when estimating diet composition with quantitative fatty acid signature analysis","docAbstract":"Quantitative fatty acid signature analysis (QFASA) is a common method of estimating the composition of prey species in the diets of consumers from polar and temperate ecosystems in which lipids are an important source of energy. A key characteristic of QFASA is that the large number of fatty acids that typically comprise lipids permits the dietary contributions of a correspondingly large number of prey types to be estimated. Several modifications to the original QFASA methods have been suggested in the literature and a significant extension of the original model published in 2017 allows simultaneous estimation of both diet proportions and calibration coefficients, which are metabolic constants in the model whose values must otherwise be estimated in independent feeding experiments. However, comparisons of diet estimates obtained using different estimation options have been limited. QFASA has been used to estimate the diet composition of several polar bear (Ursus maritimus) subpopulations, including the Southern Beaufort Sea (SBS) subpopulation. Prior QFASA estimates of SBS polar bear diet composition have most often been obtained using variations of the original QFASA model. We investigated the influence of variations in QFASA analytical methods on diet estimates by re-estimating the diet composition of polar bears from the Alaska portion of the SBS using three different methods and found that differences among the three sets of estimates were substantial. Our results illustrate how important the careful and deliberate selection of QFASA methods can be and we provide some guidance on techniques one might use to evaluate options.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0308283","usgsCitation":"Bromaghin, J.F., Atwood, T.C., and Rode, K.D., 2025, The importance of method selection when estimating diet composition with quantitative fatty acid signature analysis: PLoS ONE, v. 20, no. 1, e0308283, 15 p., https://doi.org/10.1371/journal.pone.0308283.","productDescription":"e0308283, 15 p.","ipdsId":"IP-162413","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":487613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0308283","text":"Publisher Index Page"},{"id":481610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":925982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":925983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","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":925984,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70265699,"text":"70265699 - 2025 - Integrating sea level rise scenarios into Everglades restoration planning","interactions":[],"lastModifiedDate":"2025-04-15T14:06:33.601383","indexId":"70265699","displayToPublicDate":"2025-01-28T09:03:52","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"title":"Integrating sea level rise scenarios into Everglades restoration planning","docAbstract":"One of the largest and most expensive restoration efforts in the world is occurring in the Everglades, a sub-tropical freshwater wetland system located in southern Florida. This unique ecosystem supports several endangered species, provides flood control for Florida’s large urban population, and provides water for both agriculture and drinking supply within the state. The Comprehensive Everglades Restoration Plan (CERP), authorized by Congress in 2000, guides federal, state, and local efforts to build the infrastructure necessary to bring more water into the Everglades and restore its ecological integrity, while balancing other water-related needs such as water supply and flood protection in the human environment. The Everglades encompasses the southern coast of Florida and restoration efforts are likely to be impacted by climate-induced sea level rise. However, currently, many project planning studies do not formally incorporate the potential impacts of sea level rise when evaluating restoration plan outcomes. Resource managers and project planners require methods and tools to confidently incorporate scenarios of sea level rise into their evaluations. The U.S. Geological Survey (USGS) and partners from the University of Florida worked with project planners from multiple agencies to identify restoration questions for consideration when addressing sea level rise. In addition, our project team sought to understand the types of sea level rise decision-support tools that would be of interest, and then worked with Everglades restoration managers and project planners to develop those tools. The tools developed by this project can be used by project planners to inform their decision-making abilities when considering multiple restoration plans across the Everglades landscape. Specifically, the novel ways to visualize output information from ecological models that came of this project can help project planners compare alternative restoration plans that include potential sea level rise impacts. This effort demonstrates how incorporating sea level rise scenarios into Everglades restoration project planning can help managers decide whether projects will maintain or improve ecological integrity and evaluate water availability for wildlife and humans.","language":"English","publisher":"Southeast Climate Adaptation Science Center","usgsCitation":"D’Acunto, L., Romanach, S., Castellano, S., and Clarke, M., 2025, Integrating sea level rise scenarios into Everglades restoration planning: Final Report, 15 p.","productDescription":"15 p.","ipdsId":"IP-174419","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":484573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":484519,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://secasc.ncsu.edu/science/everglades-slr/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":933335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":223479,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":933336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castellano, Stephanie","contributorId":353362,"corporation":false,"usgs":false,"family":"Castellano","given":"Stephanie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":933338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clarke, Mysha","contributorId":353361,"corporation":false,"usgs":false,"family":"Clarke","given":"Mysha","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":933337,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270401,"text":"70270401 - 2025 - Micropaleontological evidence of a submarine fan in the lower Coaledo Formation, southwestern Oregon, USA: Reply","interactions":[],"lastModifiedDate":"2025-08-19T13:56:58.671259","indexId":"70270401","displayToPublicDate":"2025-01-28T08:54:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2294,"text":"Journal of Foraminiferal Research","active":true,"publicationSubtype":{"id":10}},"title":"Micropaleontological evidence of a submarine fan in the lower Coaledo Formation, southwestern Oregon, USA: Reply","docAbstract":"No abstract available.
","language":"English","publisher":"Cushman Foundation for Foraminiferal Research","doi":"10.61551/gsjfr.55.1.87","usgsCitation":"McDougall, K., 2025, Micropaleontological evidence of a submarine fan in the lower Coaledo Formation, southwestern Oregon, USA: Reply: Journal of Foraminiferal Research, v. 55, no. 1, p. 87-94, https://doi.org/10.61551/gsjfr.55.1.87.","productDescription":"8 p.","startPage":"87","endPage":"94","ipdsId":"IP-172705","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":498857,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.61551/gsjfr.55.1.87","text":"Publisher Index Page"},{"id":494298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"McDougall, Kristen 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":52673,"corporation":false,"usgs":true,"family":"McDougall","given":"Kristen","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":946316,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70263165,"text":"70263165 - 2025 - Prairie Falcon (Falco mexicanus) abundance in a National Conservation Area in Idaho has increased since the 1970s–1990s","interactions":[],"lastModifiedDate":"2025-01-30T14:47:32.073383","indexId":"70263165","displayToPublicDate":"2025-01-28T08:43:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Prairie Falcon (Falco mexicanus) abundance in a National Conservation Area in Idaho has increased since the 1970s–1990s","docAbstract":"The Morley Nelson Snake River Birds of Prey National Conservation Area (NCA), in southwestern Idaho, USA supports a large population of breeding Prairie Falcons (Falco mexicanus). Abundance of Prairie Falcons in the NCA was previously monitored in 1976–1978 and 1990–1994. That research indicated maximum counts for each period in 1976 and 1992 and a possible population decline across that time span. We assessed the abundance and nesting success of Prairie Falcons in the NCA in 2002–2003 and 2019–2021, and we compared results to data from before 2000 to assess possible population change. Number of nesting pairs increased over 45 years from peak counts of 206, 193, and 217 in the 1970s, 1990s, and early 2000s, respectively, to 257 in 2021. Increases were not concentrated in one region, but widely distributed across the study area. Rates of nesting success in 2002–2003 and 2019–2021 averaged 57 ± 11.8% (SD) at 49.8 ± 3.3 nests observed each year and did not differ from pre-2000 rates. Finally, our analysis showed that in all 10 years in which a full census was conducted, a sampling approach to surveys would have been effective at estimating the number of falcons nesting within the NCA. Prairie Falcons are of conservation concern because of possible population declines in parts of their range. These results illustrate an area with apparently increasing numbers of this important species and highlight the importance of long-term surveys for tracking population fluctuations and the value of a national conservation area for providing raptor breeding habitat.
","language":"English","publisher":"The Raptor Research Foundation, Inc.","doi":"10.3356/jrr2395","usgsCitation":"Alsup, S., Belthoff, J.R., Steenhof, K., Kochert, M.N., and Katzner, T., 2025, Prairie Falcon (Falco mexicanus) abundance in a National Conservation Area in Idaho has increased since the 1970s–1990s: Journal of Raptor Research, v. 59, no. 1, p. 1-13, https://doi.org/10.3356/jrr2395.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-160247","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":498250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr2395","text":"Publisher Index Page"},{"id":481494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"59","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Alsup, Steven","contributorId":245281,"corporation":false,"usgs":false,"family":"Alsup","given":"Steven","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":925723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belthoff, James R. 0000-0002-6051-2353","orcid":"https://orcid.org/0000-0002-6051-2353","contributorId":190592,"corporation":false,"usgs":false,"family":"Belthoff","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":925724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steenhof, Karen karen_steenhof@usgs.gov","contributorId":203439,"corporation":false,"usgs":false,"family":"Steenhof","given":"Karen","email":"karen_steenhof@usgs.gov","affiliations":[],"preferred":false,"id":925725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":925726,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":925727,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262914,"text":"70262914 - 2025 - Hotter temperatures alter riparian plant outcomes under regulated river conditions","interactions":[],"lastModifiedDate":"2025-01-28T15:42:49.175773","indexId":"70262914","displayToPublicDate":"2025-01-27T09:39:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Hotter temperatures alter riparian plant outcomes under regulated river conditions","docAbstract":"Climate change and river regulation alter environmental controls on riparian plant occurrence and cover worldwide. Simultaneous changes to river flow and air temperature could result in unanticipated plant responses to novel environmental conditions. Increasing temperature could alter riparian plant response to hydrology and other factors, while river regulation may exacerbate environmental stress through novel flows like those resulting from power generation. Further, plant establishment and growth may require differing conditions, which may be decoupled by novel conditions. Using a large dataset that spans a natural 5°C mean annual temperature (MAT) gradient and a Bayesian model that integrates plant occurrence and cover, we address four questions: (1) Does hotter MAT modify plant response to hydrology, substrate composition, topography, and cover of co-occurring plant species? (2) Does the timing of hydropower tides benefit some species over others? (3) Does dam-induced erosion hinder riparian species more than upland species? (4) Do occurrence and cover respond to different environmental variables, allowing for decoupling of life history processes? We addressed these questions with data collected along 364 km of the Colorado River downstream of Glen Canyon Dam, Arizona, United States of America. Occurrence and cover class were recorded in >10,000 plots from 2016 to 2020, along with environmental covariates that repeat across the climate gradient. For 36 species, plant occurrence and cover were modeled with respect to MAT, hydrology, substrate, topography, other plant cover, and their interactions with MAT. There were four key results. (1) Increasing MAT will not only directly influence plants but will mediate their responses to the environment, including greater dependence on stable water supplies. (2) The timing of hydropower tides shapes plant community composition. (3) Dam-related erosion has an outsized effect on riparian species, which could lead to a loss of regionally unique plant species. (4) For all species, the most important covariates driving occurrence differed from those for cover, suggesting the potential for these life stages to be decoupled. Not only will climate change and river regulation independently alter plant distributions, interactions among hotter temperature, dam-controlled flow patterns, and limited fine sediments will determine which species flourish or perish under future conditions.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1645","usgsCitation":"Palmquist, E.C., Ogle, K., Butterfield, B.J., Whitham, T.G., Allan, G.J., and Shafroth, P., 2025, Hotter temperatures alter riparian plant outcomes under regulated river conditions: Ecological Monographs, v. 95, no. 1, e1645, 21 p., https://doi.org/10.1002/ecm.1645.","productDescription":"e1645, 21 p.","ipdsId":"IP-159047","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":481415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River downstream of Glen Canyon Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.21176601160529,\n 36.979125233919234\n ],\n [\n -113.97825341279814,\n 36.979125233919234\n ],\n [\n -113.97825341279814,\n 35.65153018969767\n ],\n [\n -111.21176601160529,\n 35.65153018969767\n ],\n [\n -111.21176601160529,\n 36.979125233919234\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"95","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":925281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ogle, Kiona","contributorId":248351,"corporation":false,"usgs":false,"family":"Ogle","given":"Kiona","email":"","affiliations":[],"preferred":false,"id":925282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":925283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitham, Thomas G.","contributorId":174327,"corporation":false,"usgs":false,"family":"Whitham","given":"Thomas","email":"","middleInitial":"G.","affiliations":[{"id":27416,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Nothern Arizona University, Flagstaff, AZ 86011 USA","active":true,"usgs":false}],"preferred":false,"id":925284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allan, Gerard J.","contributorId":189075,"corporation":false,"usgs":false,"family":"Allan","given":"Gerard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":925285,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":925286,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70269043,"text":"70269043 - 2025 - Infection by the marine cestode Hepatoxylon trichiuri in returning Chinook salmon (Oncorhynchus tshawytscha) spawners in Patagonia: Implications for a novel fishery","interactions":[],"lastModifiedDate":"2025-09-22T15:22:46.498223","indexId":"70269043","displayToPublicDate":"2025-01-27T09:17:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Infection by the marine cestode Hepatoxylon trichiuri in returning Chinook salmon (Oncorhynchus tshawytscha) spawners in Patagonia: Implications for a novel fishery","title":"Infection by the marine cestode Hepatoxylon trichiuri in returning Chinook salmon (Oncorhynchus tshawytscha) spawners in Patagonia: Implications for a novel fishery","docAbstract":"Parasitological information may be useful for managing economically important fisheries by providing insights into population dynamics and health effects. The Chinook salmon (Oncorhynchus tshawytscha), an invasive species with high socio-ecological importance in South America, supports recreational and incipient artisanal fisheries. In Southern Chile, the recent approval of coastal fisheries for returning Chinook salmon in some regions highlights the importance of understanding salmon foraging, habitat use, and commercial value. However, such information is lacking. Parasites have been extensively used as cost-effective biological tags to identify fish stocks. We conducted the first parasitological examination of the marine tapeworm Hepatoxylon trichiuri larvae in returning adult Chinook salmon from the Cisnes River to assess its potential as a biological tag for returning Chinook salmon in Patagonia. Of 61 Chinook salmon from the Cisnes River, 52.46% were infected by H. trichiuri, with 1.65 ± 1.26 parasites per infected salmon (mean ± SD). Infection prevalence and intensity did not differ significantly between males and females. Infection intensity was higher in larger salmon but decreased with increasing salmon condition. Infection intensity was not significantly related to length, mass, or body condition. Infection prevalence and intensity of H. trichiuri varied spatially among Patagonian river-basin populations of Chinook salmon, thereby supporting the use of H. trichiuri as a biological tag. Our findings provide important parasitological metrics that may enhance future management practices by informing geographic variability in foraging locations of adult salmon and their commercial value for human consumption.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.12796","usgsCitation":"Figueroa-Munoz, G., Torres, P., Rodriguez, J., and Murphy, C.A., 2025, Infection by the marine cestode Hepatoxylon trichiuri in returning Chinook salmon (Oncorhynchus tshawytscha) spawners in Patagonia: Implications for a novel fishery: Fisheries Management and Ecology, v. 32, no. 5, p. 218-232, https://doi.org/10.1111/fme.12796.","productDescription":"15 p.","startPage":"218","endPage":"232","ipdsId":"IP-170493","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":492241,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Cisnes River, Patagonia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.133333,\n -44.433333\n ],\n [\n -72.8,\n -44.433333\n ],\n [\n -72.8,\n -45.25\n ],\n [\n -71.133333,\n -45.25\n ],\n [\n -71.133333,\n -44.433333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"32","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Figueroa-Munoz, Guillermo","contributorId":342597,"corporation":false,"usgs":false,"family":"Figueroa-Munoz","given":"Guillermo","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":943061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torres, Patricio","contributorId":358019,"corporation":false,"usgs":false,"family":"Torres","given":"Patricio","affiliations":[{"id":37760,"text":"Universidad Austral de Chile","active":true,"usgs":false}],"preferred":false,"id":943062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodriguez, J. Marcos","contributorId":358020,"corporation":false,"usgs":false,"family":"Rodriguez","given":"J. Marcos","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":943063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":943064,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263392,"text":"70263392 - 2025 - American alligators (Alligator mississippiensis) as wetland ecosystem carbon stock regulators","interactions":[],"lastModifiedDate":"2025-02-10T15:34:48.266876","indexId":"70263392","displayToPublicDate":"2025-01-27T09:11:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"displayTitle":"American alligators (Alligator mississippiensis) as wetland ecosystem carbon stock regulators","title":"American alligators (Alligator mississippiensis) as wetland ecosystem carbon stock regulators","docAbstract":"Blue carbon refers to organic carbon sequestered by oceanic and coastal ecosystems. This stock has gained global attention as a high organic carbon repository relative to other ecosystems. Within blue carbon ecosystems, tidally influenced wetlands alone store a disproportionately higher amount of organic carbon than other blue carbon systems. North America harbors 42% of tidally influenced global wetland area, which has been identified as a critical carbon stock in the context of climate change mitigation. However, quantified associations between vertebrate biota and carbon sequestration within ecosystems are in their infancy and have been incidental, given that microbial trophic levels are thought to drive nutrient dynamics. Here, we assess the relationship between American alligator (Alligator mississippiensis) demography and tidally influenced wetland soil carbon stock among habitats at continental, biogeographically-relevant, and local scales. We used soil core profile data from the Smithsonian’s Coastal Carbon Network and filtered for continuous core profiles in tidally influenced wetland areas along the Gulf and Atlantic Coasts of the United States. Results indicate that American alligator presence is positively correlated with soil carbon stock across habitats within their native distribution. Further, American alligator demographic variables are positively correlated with soil carbon stock at local scales. These conclusions are concordant with previous findings that apex predators, through trophic cascade theory, play a key role in regulating soil carbon stock and that alligators are functional apex predators in carbon dynamics and a key commercialized natural resource.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-025-87369-x","usgsCitation":"Murray, C., Coleman, T., Gabel, W., and Krauss, K., 2025, American alligators (Alligator mississippiensis) as wetland ecosystem carbon stock regulators: Scientific Reports, v. 15, 3423, 13 p., https://doi.org/10.1038/s41598-025-87369-x.","productDescription":"3423, 13 p.","ipdsId":"IP-167548","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":487632,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-87369-x","text":"Publisher Index Page"},{"id":481859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Florida, Georgia, Louisiana, Maryland, Maine, Massachusetts, New Jersey, New York, North Carolina, Rhode Island, South Carolina, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.44395344413132,\n 30.417303608437123\n ],\n [\n -94.44395344413132,\n 28.50890824220714\n ],\n [\n -88.29666972342,\n 28.50890824220714\n ],\n [\n -88.97117895302259,\n 30.065684962095915\n ],\n [\n -94.44395344413132,\n 30.417303608437123\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.41409842555348,\n 30.137378875847332\n ],\n [\n -83.15674989349813,\n 28.77488765689182\n ],\n [\n -82.66413534911965,\n 26.994908834669644\n ],\n [\n -80.92490820370587,\n 24.61736802235329\n ],\n [\n -79.56037819551399,\n 25.457561329918803\n ],\n [\n -80.0094167016866,\n 28.870796985014195\n ],\n [\n -81.19075794212608,\n 30.94494224760247\n ],\n [\n -75.41770980017554,\n 35.361259497066754\n ],\n [\n -75.64770077017783,\n 35.9085071161131\n ],\n [\n -76.42569049628423,\n 35.82596730807093\n ],\n [\n -81.54105365351762,\n 31.937521767286142\n ],\n [\n -81.86610550469868,\n 29.662292005548764\n ],\n [\n -80.30356040767145,\n 26.92283892564656\n ],\n [\n -81.00711935646325,\n 25.546735859879604\n ],\n [\n -81.58611069419317,\n 26.461835391473628\n ],\n [\n -82.21883851154212,\n 28.064621313026365\n ],\n [\n -82.43807153375221,\n 29.27522927528912\n ],\n [\n -84.04429695303452,\n 30.39215823864386\n ],\n [\n -84.41409842555348,\n 30.137378875847332\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.43208983783808,\n 43.61139375779942\n ],\n [\n -71.21521441288681,\n 41.89215865023837\n ],\n [\n -73.46558191102486,\n 41.36562353853671\n ],\n [\n -74.3997705518226,\n 40.706929834414495\n ],\n [\n -74.7195061996966,\n 39.68414536456231\n ],\n [\n -78.05401190048184,\n 39.656621840215934\n ],\n [\n -76.83423840549077,\n 38.66706149261154\n ],\n [\n -74.8980092791069,\n 38.43842848979952\n ],\n [\n -73.52840490435234,\n 39.804939734313535\n ],\n [\n -69.27998936050872,\n 41.16998983302173\n ],\n [\n -70.29445317948046,\n 42.58120245732246\n ],\n [\n -70.43208983783808,\n 43.61139375779942\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Murray, Christopher M.","contributorId":350717,"corporation":false,"usgs":false,"family":"Murray","given":"Christopher M.","affiliations":[{"id":83816,"text":"Department of Biological Sciences, Southeastern Louisiana University, Hammond, LA, USA","active":true,"usgs":false}],"preferred":false,"id":926778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coleman, Tyler S. 0000-0001-7472-1976","orcid":"https://orcid.org/0000-0001-7472-1976","contributorId":350490,"corporation":false,"usgs":false,"family":"Coleman","given":"Tyler S.","affiliations":[{"id":83754,"text":"Southeastern Lousiana University","active":true,"usgs":false}],"preferred":false,"id":926779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gabel, Wray","contributorId":350718,"corporation":false,"usgs":false,"family":"Gabel","given":"Wray","affiliations":[{"id":83816,"text":"Department of Biological Sciences, Southeastern Louisiana University, Hammond, LA, USA","active":true,"usgs":false}],"preferred":false,"id":926780,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":219804,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":926781,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266202,"text":"70266202 - 2025 - Integrated analysis of marked and count data to characterizefine-scale stream fish movement","interactions":[],"lastModifiedDate":"2025-04-30T15:07:09.143764","indexId":"70266202","displayToPublicDate":"2025-01-27T07:51:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Integrated analysis of marked and count data to characterizefine-scale stream fish movement","docAbstract":"Immigration and emigration are key demographic processes of animal population dynamics. However,\n3 we have limited knowledge on how fine-scale movement varies over space and time. We developed a\n4 Bayesian integrated population model using individual mark-recapture and count data to characterize\n5 fine-scale movement of stream fish at 20-m resolution every two months for 28 months. Our study\n6 targeted small-bodied fish, for which imperfect capture was accounted for (bluehead chub Nocomis\n7 leptocephalus, creek chub Semotilus atromaculatus and mottled sculpin Cottus bairdii). Based on\n8 data from 2,021 individuals across all species, we found that proportions of immigrants averaged\n9 30-42% among the study species, but they varied over space and time. Creek chub immigrants\n10 increased during warmer intervals when individuals grew more and transitioned between body size\n11 classes, suggesting that immigration was due to ontogenetic habitat shifts. There was a weak pattern\n12 across the species that individuals were more likely to leave 20-m sections when flow was higher.\n13 Water-column species (bluehead chub and creek chub) were more likely to immigrate into and stay\n14 in deeper sections with more pool area. Across all species and occasions, number of immigrants\n15 to stream sections did not decrease with number of individuals that survived and stayed in the\n16 same sections. Thus, the habitat did not appear saturated, and our data provided no evidence that\n17 intra-specific interactions affected fine-scale movement at our fish densities. In conclusion, high\n18 turnover rates characterized fish movement among stream sections and their variation was associated\n19 with temporal and spatial shifts in abiotic conditions.","language":"English","publisher":"Springer Nature","doi":"10.1007/s00442-024-05639-3","usgsCitation":"Kanno, Y., Pregler, K., and Kim, S., 2025, Integrated analysis of marked and count data to characterizefine-scale stream fish movement: Oecologia, v. 207, 25, 15 p., https://doi.org/10.1007/s00442-024-05639-3.","productDescription":"25, 15 p.","ipdsId":"IP-162172","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Clemson University Experimental Forest, Indian Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.82048747799679,\n 34.68143669803426\n ],\n [\n -82.82048747799679,\n 34.67911153920382\n ],\n [\n -82.81055950407821,\n 34.67911153920382\n ],\n [\n -82.81055950407821,\n 34.68143669803426\n ],\n [\n -82.82048747799679,\n 34.68143669803426\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"207","noUsgsAuthors":false,"publicationDate":"2025-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Kanno, Yoichiro","contributorId":353979,"corporation":false,"usgs":false,"family":"Kanno","given":"Yoichiro","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":934906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pregler, Kasey Celene 0000-0002-0664-9594","orcid":"https://orcid.org/0000-0002-0664-9594","contributorId":353980,"corporation":false,"usgs":true,"family":"Pregler","given":"Kasey Celene","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":934907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Seoghyun","contributorId":353981,"corporation":false,"usgs":false,"family":"Kim","given":"Seoghyun","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":934908,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263128,"text":"70263128 - 2025 - Towards mobile wind measurements using joust configured ultrasonic anemometer for applications in gas flux quantification","interactions":[],"lastModifiedDate":"2025-01-30T15:22:48.042166","indexId":"70263128","displayToPublicDate":"2025-01-26T08:14:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18351,"text":"Drones","active":true,"publicationSubtype":{"id":10}},"title":"Towards mobile wind measurements using joust configured ultrasonic anemometer for applications in gas flux quantification","docAbstract":"Small uncrewed aerial systems (sUASs) can be used to quantify emissions of greenhouse and other gases, providing flexibility in quantifying these emissions from a multitude of sources, including oil and gas infrastructure, volcano plumes, wildfire emissions, and natural sources. However, sUAS-based emission estimates are sensitive to the accuracy of wind speed and direction measurements. In this study, we examined how filtering and correcting sUAS-based wind measurements affects data accuracy by comparing data from a miniature ultrasonic anemometer mounted on a sUAS in a joust configuration to highly accurate wind data taken from a nearby eddy covariance flux tower (aka the Tower). These corrections had a small effect on wind speed error, but reduced wind direction errors from 50° to >120° to 20–30°. A concurrent experiment examining the amount of error due to the sUAS and the Tower not being co-located showed that the impact of this separation was 0.16–0.21
Atmospheric particulate matter (PM) as light-absorbing particles (LAPs) deposited to snow cover can result in early onset and rapid snow melting, challenging management of downstream water resources. We identified LAPs in 38 snow samples (water years 2013–2016) from the mountainous Upper Colorado River basin by comparing among laboratory-measured spectral reflectance, chemical, physical, and magnetic properties. Dust sample reflectance, averaged over the wavelength range of 0.35–2.50 μm, varied by a factor of 1.9 (range, 0.2300–0.4444) and was suppressed mainly by three components: (a) carbonaceous matter measured as total organic carbon (1.6–22.5 wt. %) including inferred black carbon, natural organic matter, and carbon-based synthetic, black road-tire-wear particles, (b) dark rock and mineral particles, indicated by amounts of magnetite (0.11–0.37 wt. %) as their proxy, and (c) ferric oxide minerals identified by reflectance spectroscopy and magnetic properties. Fundamental compositional differences were associated with different iron oxide groups defined by dominant hematite, goethite, or magnetite. These differences in iron oxide mineralogy are attributed to temporally varying source-area contributions implying strong interannual changes in regional source behavior, dust-storm frequency, and (or) transport tracks. Observations of dust-storm activity in the western U.S. and particle-size averages for all samples (median, 25 μm) indicated that regional dust from deserts dominated mineral-dust masses. Fugitive contaminants, nevertheless, contributed important amounts of LAPs from many types of anthropogenic sources.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JD041676","usgsCitation":"Reynolds, R.L., Goldstein, H.L., Kokaly, R.F., Lowers, H.A., Breit, G., Moskowitz, B.M., Solheid, P., Derry, J., and Lawrence, C., 2025, Light absorbing particles deposited to snow cover across the Upper Colorado River Basin, Colorado Rocky Mountains, 2013-16: Interannual variations from multiple natural and anthropogenic sources: JGR Atmospheres, v. 130, no. 2, e2024JD041676, 26 p., https://doi.org/10.1029/2024JD041676.","productDescription":"e2024JD041676, 26 p.","ipdsId":"IP-164869","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":487599,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jd041676","text":"Publisher Index Page"},{"id":481416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.64932012823948,\n 41.00445174733457\n ],\n [\n -109.11352421551246,\n 41.00445174733457\n ],\n [\n -109.11352421551246,\n 36.95523951519441\n ],\n [\n -104.64932012823948,\n 36.95523951519441\n ],\n [\n -104.64932012823948,\n 41.00445174733457\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"130","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":139068,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":925255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":807,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":925256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":925257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":925258,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Breit, Geroge N.","contributorId":349930,"corporation":false,"usgs":false,"family":"Breit","given":"Geroge N.","affiliations":[{"id":32931,"text":"USGS - Retired","active":true,"usgs":false}],"preferred":false,"id":925259,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moskowitz, Bruce M.","contributorId":189164,"corporation":false,"usgs":false,"family":"Moskowitz","given":"Bruce","email":"","middleInitial":"M.","affiliations":[{"id":17684,"text":"University of Minnesota, Minneapolis, MN","active":true,"usgs":false}],"preferred":false,"id":925260,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Solheid, Peat","contributorId":224401,"corporation":false,"usgs":false,"family":"Solheid","given":"Peat","email":"","affiliations":[{"id":40874,"text":"Institute for Rock Magnetism, Department of Earth and Environmental Sciences, University of Minnesota, Minneapolis","active":true,"usgs":false}],"preferred":false,"id":925261,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Derry, Jeff","contributorId":224402,"corporation":false,"usgs":false,"family":"Derry","given":"Jeff","email":"","affiliations":[{"id":40875,"text":"Center for Snow and Avalanche Studies","active":true,"usgs":false}],"preferred":false,"id":925263,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lawrence, Corey 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":219251,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":925262,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70262913,"text":"70262913 - 2025 - Coral reef restoration can reduce coastal contamination and pollution hazards","interactions":[],"lastModifiedDate":"2025-01-28T15:33:03.710468","indexId":"70262913","displayToPublicDate":"2025-01-25T09:26:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Coral reef restoration can reduce coastal contamination and pollution hazards","docAbstract":"Coral reef restoration can reduce the wave-driven flooding for coastal communities. However, this protection has yet to be assessed in terms of the reduced risk of flood-driven environmental contamination. Here we provide the first high-resolution valuation of the reduction of flood-related land-based environmental pollution provided by potential coral reef restoration. Along Florida’s 460 km-long coral reef-fringed coastline, coral reef restoration could reduce the risk of sewage and petrochemical contamination by preventing the flooding of petroleum storage tank systems (-9%), onsite sewage treatment and disposal systems (-4%), and wastewater treatment plants (-10%). The present value of critical infrastructure protection and contamination prevention benefits provided by coral reef restoration is $3,413,503, with some areas exceeding $1,500,000/km. Annually, 48,403 U.S. gal of petrochemicals, 10,404 GPD of wastewater treatment capacity, equivalent to $281,435, could be protected from flooding, demonstrating that coral reef restoration can provide environmental risk reduction and previously undocumented additional socioeconomic benefits.
","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02019-4","usgsCitation":"Rottmueller, M., Storlazzi, C.D., and Frick, F., 2025, Coral reef restoration can reduce coastal contamination and pollution hazards: Communications Earth & Environment, v. 6, 50, 14 p., https://doi.org/10.1038/s43247-025-02019-4.","productDescription":"50, 14 p.","ipdsId":"IP-165090","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":489898,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02019-4","text":"Publisher Index Page"},{"id":481414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.17230086700825,\n 27.13745867457773\n ],\n [\n -80.58681397012089,\n 27.017293320412335\n ],\n [\n -80.55789445129923,\n 26.10332375753015\n ],\n [\n -80.59645380972826,\n 25.704444810507454\n ],\n [\n -81.12664498812791,\n 25.530599974387883\n ],\n [\n -81.17484418616428,\n 25.094886779764835\n ],\n [\n -80.71213188501527,\n 25.07742572835653\n ],\n [\n -80.14338134818661,\n 25.373923867060384\n ],\n [\n -80.00842359368481,\n 26.681869876381626\n ],\n [\n -80.17230086700825,\n 27.13745867457773\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2025-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Rottmueller, Marina","contributorId":349933,"corporation":false,"usgs":false,"family":"Rottmueller","given":"Marina","affiliations":[{"id":82413,"text":"Technical University of Munich","active":true,"usgs":false}],"preferred":false,"id":925278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":925279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frick, Fabian","contributorId":349934,"corporation":false,"usgs":false,"family":"Frick","given":"Fabian","affiliations":[{"id":82413,"text":"Technical University of Munich","active":true,"usgs":false}],"preferred":false,"id":925280,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263441,"text":"70263441 - 2025 - “Leaky weirs” capture alluvial deposition and enhance seasonal mountain-front recharge in dryland streams","interactions":[],"lastModifiedDate":"2025-02-12T14:10:12.583226","indexId":"70263441","displayToPublicDate":"2025-01-25T09:04:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20072,"text":"Applied Water Science","active":true,"publicationSubtype":{"id":10}},"title":"“Leaky weirs” capture alluvial deposition and enhance seasonal mountain-front recharge in dryland streams","docAbstract":"“Leaky weirs” are rock structures installed in dryland streams, which are anchored into exposed bedrock, loosely cemented, and designed to allow water to slowly pass through. They are being tested at a ranch in southeastern Arizona, USA, to restore and conserve the historic range and desert wetlands. Data are collected to assess how leaky weirs impact surface water, subsurface water, and groundwater recharge—including stream discharge, timing, and depth of infiltration, and groundwater elevations. Three adjacent watersheds, two with outlets just below leaky weirs and one with leaky weirs farther upstream, were instrumented with water-level loggers, wildlife cameras, and crest stage instruments with temperature sensors in the soil. As most groundwater recharge is assumed to be focused along the mountain fronts in this region, mountain-block recharge is also evaluated to differentiate between the two using isotope analyses. Finally, a single, late-season flood event is scrutinized to consider the leaky weir effect on all monitored components in the water budget. Results indicated groundwater flow is primarily from the mountains to the east via older, regional mountain-block recharge. However, the development of shallow alluvial aquifers is supported by the leaky weirs, that slow flows, capture permeable sediments, and allow infiltration, thus enhancing mountain-front recharge. In turn, these new pockets of water help support the restoration of historic wetlands. Sediment accumulates where leaky weirs are installed, reducing flashy peak flows, and resulting in a series of infiltration ponds along the channel that support vegetation during growing seasons and recharge the shallow aquifer during non-growing seasons.
","language":"English","publisher":"Springer","doi":"10.1007/s13201-025-02371-y","usgsCitation":"Norman, L., Uhlman, K., Coy, H., Wilson, N., Bennett, A., Gray, F., and Ehrenberg, K., 2025, “Leaky weirs” capture alluvial deposition and enhance seasonal mountain-front recharge in dryland streams: Applied Water Science, v. 15, 29, 27 p., https://doi.org/10.1007/s13201-025-02371-y.","productDescription":"29, 27 p.","ipdsId":"IP-157242","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":488063,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13201-025-02371-y","text":"Publisher Index Page"},{"id":481927,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.333333,\n 32.283333\n ],\n [\n -109.916667,\n 32.283333\n ],\n [\n -109.916667,\n 31.5\n ],\n [\n -109.333333,\n 31.5\n ],\n [\n -109.333333,\n 32.283333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":927001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uhlman, Kristine;","contributorId":167093,"corporation":false,"usgs":false,"family":"Uhlman","given":"Kristine;","email":"","affiliations":[{"id":17599,"text":"Texas Bureau of Economic Geology","active":true,"usgs":false}],"preferred":false,"id":927002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coy, Hanna","contributorId":350793,"corporation":false,"usgs":false,"family":"Coy","given":"Hanna","affiliations":[{"id":83830,"text":"U.S. Geological Survey, Arizona Water Science Center (Ret.)","active":true,"usgs":false}],"preferred":false,"id":927003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Natalie R. 0000-0001-5145-1221","orcid":"https://orcid.org/0000-0001-5145-1221","contributorId":202534,"corporation":false,"usgs":true,"family":"Wilson","given":"Natalie R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":927004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennett, Andrew M.","contributorId":350794,"corporation":false,"usgs":false,"family":"Bennett","given":"Andrew M.","affiliations":[{"id":83831,"text":"Contracter","active":true,"usgs":false}],"preferred":false,"id":927005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, Floyd 0000-0002-0223-8966","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":201529,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":927006,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ehrenberg, Kurt T.","contributorId":350795,"corporation":false,"usgs":false,"family":"Ehrenberg","given":"Kurt T.","affiliations":[{"id":83832,"text":"U.S. Geological Survey, Arizona Water Science Center, 520 N. Park Avenue, Tucson, AZ 85719","active":true,"usgs":false}],"preferred":false,"id":927007,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263279,"text":"70263279 - 2025 - Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach","interactions":[],"lastModifiedDate":"2025-02-04T14:46:30.055812","indexId":"70263279","displayToPublicDate":"2025-01-25T08:40:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach","title":"Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach","docAbstract":"Wild waterfowl are considered to be the reservoir of avian influenza, but their distinct annual life cycle stages and their contribution to disease dynamics are not well understood. Studies of the highly pathogenic avian influenza (HPAI) virus have primarily focused on wintering grounds, where human and poultry densities are high year-round, compared with breeding grounds, where migratory waterfowl are more isolated. Few if any studies of avian influenza have focused on the molting stage where wild waterfowl congregate in a few selected wetlands and undergo the simultaneous molt of wing and tail feathers during a vulnerable flightless period. The molting stage may be one of the most important periods for the perpetuation of the disease in waterfowl, since during this stage, immunologically naïve young birds and adults freely intermix prior to the fall migration. Our study incorporated empirical data from virological field samplings and markings of Swan Geese (Anser cygnoides) on their breeding grounds in Mongolia in an integrated agent-based model (ABM) that included susceptible–exposed–infectious–recovered (SEIR) states. Our ABM results provided unique insights and indicated that individual movements between different molting wetlands and the transmission rate were the key predictors of HPAI perpetuation. While wetland extent was not a significant predictor of HPAI perpetuation, it had a large effect on the number of infections and associated death toll. Our results indicate that conserving undisturbed habitats for wild waterfowl during the molting stage of the breeding season could reduce the risk of HPAI transmission.
","language":"English","publisher":"MDPI","doi":"10.3390/v17020196","usgsCitation":"Takekawa, J., Choi, C., Prosser, D.J., Sullivan, J.D., Batbayar, N., and Xiao, X., 2025, Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach: Viruses, v. 17, no. 2, 196, 20 p., https://doi.org/10.3390/v17020196.","productDescription":"196, 20 p.","ipdsId":"IP-171183","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":487618,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v17020196","text":"Publisher Index Page"},{"id":481653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mongolia, Russia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 114.5,\n 50.33\n ],\n [\n 114.5,\n 49.25\n ],\n [\n 116,\n 49.25\n ],\n [\n 116,\n 50.33\n ],\n [\n 114.5,\n 50.33\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Takekawa, John","contributorId":330942,"corporation":false,"usgs":false,"family":"Takekawa","given":"John","affiliations":[{"id":32931,"text":"USGS - Retired","active":true,"usgs":false}],"preferred":false,"id":926134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Chang-Yong","contributorId":181784,"corporation":false,"usgs":false,"family":"Choi","given":"Chang-Yong","email":"","affiliations":[],"preferred":false,"id":926135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prosser, Diann J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":926137,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Batbayar, Nyambaya","contributorId":181791,"corporation":false,"usgs":false,"family":"Batbayar","given":"Nyambaya","affiliations":[],"preferred":false,"id":926138,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xiao, Xiangming","contributorId":181792,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiangming","email":"","affiliations":[],"preferred":false,"id":926139,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262821,"text":"sir20245104 - 2025 - Methods to determine streamflow statistics based on data through water year 2021 for selected streamgages in or near Wyoming","interactions":[],"lastModifiedDate":"2025-07-21T17:51:56.872176","indexId":"sir20245104","displayToPublicDate":"2025-01-24T14:56:11","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":"2024-5104","displayTitle":"Methods to Determine Streamflow Statistics Based on Data Through Water Year 2021 for Selected Streamgages in or near Wyoming","title":"Methods to determine streamflow statistics based on data through water year 2021 for selected streamgages in or near Wyoming","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Wyoming Water Development Office, developed streamflow statistics for streamgages in and near Wyoming. Statistics were computed for active (through September 30, 2021) and discontinued USGS streamgages with 10 or more years of daily mean streamflow record. Streamflow at each streamgage was assessed for degree of human alteration owing to dams and diversions before streamflow statistics were computed. Streamflow records from 615 streamgages were used to compute basic, seasonal, and flow-duration statistics; streamflow records from 387 streamgages were used to compute n-day statistics, which are streamflow statistics describing streamflow over a number of days (n), and statistics that can be used for regional regression. The streamflow statistics are provided in a USGS data publication that accompanies this report and through the USGS StreamStats web-based application (https://www.usgs.gov/streamstats).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245104","collaboration":"Prepared in cooperation with Wyoming Water Development Office","usgsCitation":"Armstrong, D.W., Lange, D.A., and Chase, K.J., 2025, Methods to determine streamflow statistics based on data through water year 2021 for selected streamgages in or near Wyoming: U.S. Geological Survey Scientific Investigations Report 2024–5104, 10 p., https://doi.org/10.3133/sir20245104.","productDescription":"Report: v, 10 p.; Dataset","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-148941","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":492669,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118406.htm","linkFileType":{"id":5,"text":"html"}},{"id":481019,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":481017,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20245104/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024–5104."},{"id":481016,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5104/sir20245104.XML","linkFileType":{"id":8,"text":"xml"}},{"id":481015,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5104/images"},{"id":481014,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5104/sir20245104.pdf","text":"Report","size":"5.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5104"},{"id":481013,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5104/coverthb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.10935768359315,\n 45.03387726366623\n ],\n [\n -111.10935768359315,\n 40.99279378165886\n ],\n [\n -104.05893115935177,\n 40.99279378165886\n ],\n [\n -104.05893115935177,\n 45.03387726366623\n ],\n [\n -111.10935768359315,\n 45.03387726366623\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601
The Kunming-Montreal Global Biodiversity Framework 2030 calls for the conservation of 30% of the world’s ecosystems, focusing on protecting areas vital to biodiversity, identifying and managing invasive species introduction pathways, and minimizing the impacts of climate change on biodiversity. While protected areas (PAs) have historically limited the introduction, establishment, and spread of non-native species, climate change is likely to increase their susceptibility to invasion. Yet we know little about how pathways may shift in the future, making it difficult for managers to plan appropriately. This paper explores how climate change may affect primary and secondary pathways of introduction and presents an adaptive management approach to avoid, minimize, and mitigate impacts. Climate change has influenced introduction pathways by modifying human behaviors (e.g., forced migration and shifting travel and vacation destinations), and by altering transportation routes, natural dispersal mechanisms, and the environmental conditions along these pathways and in donor and receiver regions. These changes increase the risk of non-native species introductions and their subsequent spread within PAs. Implementing climate-smart adaptive biosecurity, an iterative process that includes the incorporation of new technologies and perspectives, will become increasingly important for invasive species prevention and management of PAs as it provides flexibility in management response and maximizes positive outcomes when resources are limited.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-025-03534-3","usgsCitation":"Lieurance, D., Canavan, S., Faulkner, K., O’Shaughnessy, K., Lockwood, J.L., Parsons, E.W., Avery, J., and Daniel, W., 2025, Understanding and managing introduction pathways into protected areas in a changing climate: Biological Invasions, v. 27, no. 2, 74, 15 p., https://doi.org/10.1007/s10530-025-03534-3.","productDescription":"74, 15 p.","ipdsId":"IP-168490","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":488375,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-025-03534-3","text":"Publisher Index Page"},{"id":483718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Lieurance, Deah 0000-0001-8176-3146","orcid":"https://orcid.org/0000-0001-8176-3146","contributorId":293605,"corporation":false,"usgs":false,"family":"Lieurance","given":"Deah","email":"","affiliations":[{"id":63333,"text":"Agronomy Department, University of Florida","active":true,"usgs":false}],"preferred":false,"id":931708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Canavan, Susan 0000-0002-7972-7928","orcid":"https://orcid.org/0000-0002-7972-7928","contributorId":293598,"corporation":false,"usgs":false,"family":"Canavan","given":"Susan","email":"","affiliations":[{"id":63333,"text":"Agronomy Department, University of Florida","active":true,"usgs":false}],"preferred":false,"id":931709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faulkner, Katelyn T.","contributorId":352566,"corporation":false,"usgs":false,"family":"Faulkner","given":"Katelyn T.","affiliations":[{"id":84262,"text":"University of Pretoria, South Africa","active":true,"usgs":false}],"preferred":false,"id":931710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Shaughnessy, Kathryn A.","contributorId":352567,"corporation":false,"usgs":false,"family":"O’Shaughnessy","given":"Kathryn A.","affiliations":[{"id":48711,"text":"Dauphin Island Sea Lab","active":true,"usgs":false}],"preferred":false,"id":931711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lockwood, Julie L.","contributorId":192147,"corporation":false,"usgs":false,"family":"Lockwood","given":"Julie","email":"","middleInitial":"L.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":931712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parsons, Elliott W.","contributorId":330758,"corporation":false,"usgs":false,"family":"Parsons","given":"Elliott","email":"","middleInitial":"W.","affiliations":[{"id":79002,"text":"University of Hawai‘i at \nMānoa","active":true,"usgs":false}],"preferred":false,"id":931713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Avery, Julian D.","contributorId":352568,"corporation":false,"usgs":false,"family":"Avery","given":"Julian D.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":931714,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Daniel, Wesley 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":219312,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":931715,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70264824,"text":"70264824 - 2025 - Decomposing the Tea Bag Index and finding slower organic matter loss rates at higher elevations and deeper soil horizons in a minerogenic salt marsh","interactions":[],"lastModifiedDate":"2025-03-26T15:03:35.464504","indexId":"70264824","displayToPublicDate":"2025-01-24T09:54:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Decomposing the Tea Bag Index and finding slower organic matter loss rates at higher elevations and deeper soil horizons in a minerogenic salt marsh","docAbstract":"Environmental gradients can affect organic matter decay within and across wetlands and contribute to spatial heterogeneity in soil carbon stocks. We tested the sensitivity of decay rates to tidal flooding and soil depth in a minerogenic salt marsh using the Tea Bag Index (TBI). Tea bags were buried at 10 and 50 cm depths across an elevation gradient in a subtropical Spartina alterniflora marsh in Georgia (USA). Plant and animal communities and soil properties were characterized once, while replicate tea bags and porewaters were collected several times over 1 year. TBI decay rates were faster than prior litterbag studies in the same marsh, largely due to rapid green tea loss. Rooibos tea decay rates were more comparable to natural marsh litter, potentially suggesting that is more useful as a standardized organic matter proxy than green tea. Decay was slowest at higher marsh elevations and not consistently related to other biotic (e.g., plants, crab burrows) or abiotic factors (e.g., porewater chemistry), indicating that local hydrology strongly affected organic matter loss rates. TBI rates were 32 %–118 % faster in the 10 cm horizon than at 50 cm. Rates were fastest in the first 3 months and slowed 54 %–60 % at both depths between 3 and 6 months. Rates slowed further between 6 and 12 months, but this was more muted at 10 cm (17 %) compared to 50 cm (50 %). Slower rates at depth and with time were unlikely due to the TBI stabilization factor, which was similar across depths and decreased from 6 to 12 months. Slower decay at 50 cm demonstrates that rates were constrained by environmental conditions in the deeper horizon rather than the composition of this highly standardized litter. Overall, these patterns suggest that hydrological setting, which affects oxidant introduction and reactant removal and is often overlooked in marsh decomposition studies, may be a particularly important control on organic matter loss in the short term (3–12 months).
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/bg-22-435-2025","usgsCitation":"Reddy, S., Farrell, W., Wu, F., Pennings, S.C., Sanderman, J., Eagle, M.J., Craft, C., and Spivak, A.C., 2025, Decomposing the Tea Bag Index and finding slower organic matter loss rates at higher elevations and deeper soil horizons in a minerogenic salt marsh: Biogeosciences, v. 22, no. 2, p. 435-453, https://doi.org/10.5194/bg-22-435-2025.","productDescription":"19 p.","startPage":"435","endPage":"453","ipdsId":"IP-166089","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488655,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-22-435-2025","text":"Publisher Index Page"},{"id":483875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Altamaha River","volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Reddy, Satyatejas G.","contributorId":352677,"corporation":false,"usgs":false,"family":"Reddy","given":"Satyatejas G.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":931981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farrell, W. 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Reilly","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":931982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Fengrun","contributorId":352679,"corporation":false,"usgs":false,"family":"Wu","given":"Fengrun","affiliations":[{"id":84281,"text":"Xiamen University of Technology","active":true,"usgs":false}],"preferred":false,"id":931983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pennings, Steven C.","contributorId":177820,"corporation":false,"usgs":false,"family":"Pennings","given":"Steven","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":931984,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanderman, Jonathan","contributorId":187477,"corporation":false,"usgs":false,"family":"Sanderman","given":"Jonathan","email":"","affiliations":[],"preferred":false,"id":931985,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eagle, Meagan J. 0000-0001-5072-2755 meagle@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":242890,"corporation":false,"usgs":true,"family":"Eagle","given":"Meagan","email":"meagle@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":931986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Craft, Christopher","contributorId":156398,"corporation":false,"usgs":false,"family":"Craft","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":931987,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spivak, Amanda C.","contributorId":191376,"corporation":false,"usgs":false,"family":"Spivak","given":"Amanda","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":931988,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70263233,"text":"70263233 - 2025 - The transition from resistance to acceptance: Managing a marine invasive species in a changing world","interactions":[],"lastModifiedDate":"2025-03-11T14:59:09.650451","indexId":"70263233","displayToPublicDate":"2025-01-24T09:34:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The transition from resistance to acceptance: Managing a marine invasive species in a changing world","docAbstract":"Global observations at 30-m ground sampling distance (GSD) are now possible at a cadence of 1-3 days by combining Landsat 8 and 9 with Sentinel-2A and -2B satellites. Previous studies characterizing pixel-level Landsat-class measurement frequency used data from different sources but offered little information on observation availability after rigorous quality screening. This study examined the coverage frequency of HLS V2.0 data for 2022, the first year all four satellites data were available. These data have had quality control filtering and harmonization, and therefore reflect the spatial-temporal distribution of usable observations. On average, HLS data provide observations every 1.6 days at the global scale, and 2.2 days in the data-scarce tropical regions, regardless of cloud cover. The global mean and median cloud-free observations were 69 and 64, respectively. The frequency of good-quality observations varies geographically and seasonally due to changes in satellite swath overlap, cloud frequency, and solar illumination. High latitudes (>~75°N) exhibit the highest number of cloud-free observations between March and September. However, data are unavailable during winter months due to low solar elevation angles and boreal regions have a lower number of clear observations in the summer months. The tropical regions have the lowest number of clear observations. More frequent HLS observations could improve terrestrial monitoring. We mapped the monthly and weekly number of clear observations globally to show where HLS data could support monthly or sub-weekly time series applications.
","language":"English","publisher":"IEEE Xplore","doi":"10.1109/LGRS.2025.3533923","usgsCitation":"Zhou, Q., Neigh, C., Ju, J., Dabney, P., Cook, B., Zhu, Z., Crawford, C., Gascon, F., Strobl, P., and Sridhar, M., 2025, Towards seamless global 30-meter terrestrial monitoring: Evaluating 2022 cloud free coverage of harmonized Landsat and Sentinel-2 (HLS) V2.0: IEEE Geoscience and Remote Sensing Letters, v. 22, 5000505, 5 p., https://doi.org/10.1109/LGRS.2025.3533923.","productDescription":"5000505, 5 p.","ipdsId":"IP-164632","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":488360,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1109/lgrs.2025.3533923","text":"Publisher Index Page"},{"id":481614,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhou, Qiang","contributorId":350371,"corporation":false,"usgs":false,"family":"Zhou","given":"Qiang","affiliations":[{"id":63570,"text":"Science Systems and Applications Inc","active":true,"usgs":false}],"preferred":false,"id":925890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neigh, Christopher","contributorId":350372,"corporation":false,"usgs":false,"family":"Neigh","given":"Christopher","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":925891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ju, Junchang","contributorId":350375,"corporation":false,"usgs":false,"family":"Ju","given":"Junchang","affiliations":[{"id":83726,"text":"University of Maryland College Park","active":true,"usgs":false}],"preferred":false,"id":925892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dabney, Philip","contributorId":350376,"corporation":false,"usgs":false,"family":"Dabney","given":"Philip","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":925893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Bruce","contributorId":350378,"corporation":false,"usgs":false,"family":"Cook","given":"Bruce","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":925894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhu, Zhe","contributorId":350380,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhe","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":925895,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":925896,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gascon, Ferran","contributorId":350381,"corporation":false,"usgs":false,"family":"Gascon","given":"Ferran","affiliations":[{"id":38836,"text":"European Space Agency","active":true,"usgs":false}],"preferred":false,"id":925897,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Strobl, Peter","contributorId":350382,"corporation":false,"usgs":false,"family":"Strobl","given":"Peter","affiliations":[{"id":54481,"text":"European Commission","active":true,"usgs":false}],"preferred":false,"id":925898,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sridhar, Madhu","contributorId":350383,"corporation":false,"usgs":false,"family":"Sridhar","given":"Madhu","affiliations":[{"id":83729,"text":"University of Alabama Huntsville","active":true,"usgs":false}],"preferred":false,"id":925899,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ]}