{"pageNumber":"113","pageRowStart":"2800","pageSize":"25","recordCount":165720,"records":[{"id":70261980,"text":"70261980 - 2025 - Advancing the science of headwater streamflow for global water protection","interactions":[],"lastModifiedDate":"2025-01-27T16:46:01.883887","indexId":"70261980","displayToPublicDate":"2025-01-02T08:54:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17124,"text":"Nature Water","active":true,"publicationSubtype":{"id":10}},"title":"Advancing the science of headwater streamflow for global water protection","docAbstract":"

The protection of headwater streams faces increasing challenges, exemplified by limited global recognition of headwater contributions to watershed resiliency and a recent US Supreme Court decision limiting federal safeguards. Despite accounting for ~77% of global river networks, the lack of adequate headwaters protections is caused, in part, by limited information on their extent and functions—in particular, their flow regimes, which form the foundation for decision-making regarding their protection. Yet, headwater streamflow is challenging to comprehensively measure and model; it is highly variable and sensitive to changes in land use, management and climate. Modelling headwater streamflow to quantify its cumulative contributions to downstream river networks requires an integrative understanding across local hillslope and channel (that is, watershed) processes. Here we begin to address this challenge by proposing a consistent definition for headwater systems and streams, evaluating how headwater streamflow is characterized and advocating for closing gaps in headwater streamflow data collection, modelling and synthesis.

","language":"English","publisher":"Nature","doi":"10.1038/s44221-024-00351-1","usgsCitation":"Golden, H.E., Christiensen, J., McMillan, H., Kelleher, C.A., Lane, C., Husic, A., Li, L., Ward, A., Hammond, J., Seybold, E.C., Jaeger, K.L., Zimmer, M.A., Sando, R., Jones, C., Segura, C., Mahoney, D.T., Price, A.N., and Chang, F., 2025, Advancing the science of headwater streamflow for global water protection: Nature Water, v. 3, p. 16-26, https://doi.org/10.1038/s44221-024-00351-1.","productDescription":"11 p.","startPage":"16","endPage":"26","ipdsId":"IP-161519","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":498448,"rank":2,"type":{"id":41,"text":"Open 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0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922515,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Seybold, Erin C. 0000-0002-0365-2333","orcid":"https://orcid.org/0000-0002-0365-2333","contributorId":340201,"corporation":false,"usgs":false,"family":"Seybold","given":"Erin","email":"","middleInitial":"C.","affiliations":[{"id":35641,"text":"Kansas Geological Survey","active":true,"usgs":false}],"preferred":false,"id":922528,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jaeger, Kristin L. 0000-0002-1209-8506","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":206935,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922516,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zimmer, Margaret Ann 0000-0001-8287-1923","orcid":"https://orcid.org/0000-0001-8287-1923","contributorId":337488,"corporation":false,"usgs":true,"family":"Zimmer","given":"Margaret","email":"","middleInitial":"Ann","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922518,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sando, Roy 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Nathan","contributorId":295982,"corporation":false,"usgs":false,"family":"Jones","given":"C. Nathan","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":922520,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Segura, Catalina","contributorId":192222,"corporation":false,"usgs":false,"family":"Segura","given":"Catalina","email":"","affiliations":[],"preferred":false,"id":922523,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Mahoney, D. Tyler 0000-0003-0523-508X","orcid":"https://orcid.org/0000-0003-0523-508X","contributorId":304419,"corporation":false,"usgs":false,"family":"Mahoney","given":"D.","email":"","middleInitial":"Tyler","affiliations":[{"id":66062,"text":"University of Louisville","active":true,"usgs":false}],"preferred":false,"id":922525,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Price, Adam N. 0000-0002-7211-4758","orcid":"https://orcid.org/0000-0002-7211-4758","contributorId":295971,"corporation":false,"usgs":false,"family":"Price","given":"Adam","email":"","middleInitial":"N.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":922522,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Chang, Frederick","contributorId":347820,"corporation":false,"usgs":false,"family":"Chang","given":"Frederick","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":922526,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70275575,"text":"70275575 - 2025 - Ecosystems","interactions":[],"lastModifiedDate":"2026-05-08T15:41:58.831483","indexId":"70275575","displayToPublicDate":"2025-01-01T10:37:34","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"Ecosystems","docAbstract":"

The Fifth National Climate Assessment updates the evidence regarding how climate change influences ecosystems, biological diversity, and the implications for changes to critical ecosystem services—as noted in the key messages above (McElwee et al., 2023). Large-scale transformational changes to ecosystems are occurring, including—but not limited to—land-use conversion, hydrological alteration, and fire regimes. Implications of such transformational change include ecosystem capacity to maintain biological diversity and ecosystem services, impacting recreational opportunities (e.g., hunting and fishing, birding, ecotourism) and agriculture production (McElwee et al., 2023). A central tenet of the Fifth National Climate Assessment regarding ecosystems was the shifts to alternative states and how the Resist-Accept-Direct (RAD) framework may guide the adaptive management of ecosystems moving forward (Lynch et al., 2022).

Nebraska is in the northern Great Plains, where extremes in climate and resulting ecosystem processes are experienced (Knapp et al., 2023). Pressures on ecosystems to provide essential services, including healthy soil and water to benefit humans and animals, will inevitably impact economic development, urban and rural communities, and fish and wildlife populations as climate change continues (Knapp et al., 2023). All ecosystems will be impacted in Nebraska, but aquatic systems—wetlands, aquifers, lakes, streams, and rivers—may be most impacted, given the scarcity of water as human demand (i.e., agriculture and a growing population) persists and increases (Bathke et al., 2014). Major knowledge gaps remain regarding how fish and wildlife populations will persist in changing environments. Past changes, including large-scale land conversion, water delivery systems, and water storage (construction of reservoirs), suggest that some species can adapt to novel environments and shift distributions. However, many more species may be maladapted to the expected changes in climate. Species may be unable to move to suitable habitats, and biological constraints under rapidly changing conditions may impede adaptation— resulting in extirpation and potential extinction. Further, changing conditions open multiple pathways for invasive species and novel diseases, impacting native fish populations, wildlife populations, and human health. 

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removal","interactions":[],"lastModifiedDate":"2025-05-23T15:38:31.239395","indexId":"70267414","displayToPublicDate":"2025-01-01T10:31:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19856,"text":"Laurentian","active":true,"publicationSubtype":{"id":10}},"title":"Fish-assemblage evaluation in the lower Sandusky River, Ohio, following dam removal","docAbstract":"

The Sandusky River, Ohio, USA, has experienced more than a century of alterations, including dam implementation and removal, causing a cascade of habitat changes. The physical changes in the river led to establishment of several invasive species. Ten hoop-net sampling sites, spaced about 500 m apart were established in the river to monitor fish assemblage and their habitat preferences. Four 10-d sampling events were completed from April through October 2021. Ordination analyses were used to assess fish-assemblage structure seasonably, species-habitat relationships, and life-history strategies of 31 species. Generalized linear mixed-effects models were used to assess temporal factors that may drive diversity and community assemblage. Models indicated increased species richness after removal of the dam. Presence and proportion of catch data were compared to Ohio Environmental Protection Agency 2009 pre-dam-removal data to further assess changes in fish assemblage. Several species, especially catostomids, have begun to use the habitat downstream of the former dam, altering fish assemblage throughout the river. We expect shifts in assemblage structure to persist, making continued monitoring essential for understanding how non-native and recreationally important species continue to respond to dam removal.

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Page"},{"id":486517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Sandusky River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.00181931823779,\n 41.45338855338082\n ],\n [\n -83.09113294485806,\n 41.45338855338082\n ],\n [\n -83.09113294485806,\n 41.411024886695174\n ],\n [\n -83.00181931823779,\n 41.411024886695174\n ],\n [\n -83.00181931823779,\n 41.45338855338082\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2025-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Schulz, Kailee Amanda 0000-0002-0998-7951","orcid":"https://orcid.org/0000-0002-0998-7951","contributorId":339886,"corporation":false,"usgs":true,"family":"Schulz","given":"Kailee 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We reviewed current (2008-2023) protocols for monitoring American alligator nests in Everglades National Park (ENP) using a qualitative statistical review framework that emphasizes connecting measurable objectives with evaluation of survey design elements. Our review outlined the statistical assumptions that, if severely violated, would prevent defensible inferences from being drawn regarding the three alligator nesting metrics monitored in ENP’s systematic reconnaissance flight (SRF) surveys: nest effort (number of nests), nest distribution, and nest fate. After evaluating the current survey and inference methods, we offer potential adjustments or augmentations to the design and models currently used to better account for potential error sources and align the stated objectives with statistical inferences.

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No abstract available.

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This report reviews the literature on how climate change is influencing visitor use in the United States and how visitor use may be affected in the future. Our goal is to provide the current state of the literature for managers of public lands and waters and provide foundational information for the development of a climate change vulnerability assessment methodology for visitor use within the National Park Service (that may be applicable to other federal lands and waters). Specifically, we investigate how seven different climate change factors may affect visitor use on public lands and waters. These factors consist of increasing temperatures; flooding, drought, and increased variability of precipitation; decreasing snowpack and earlier spring runoff; wildfires, smoke, and air quality; coastal hazards: hurricanes and sea level rise; harmful algal blooms (HABs); and zoonotic and vector-borne disease. The current research indicates that these factors are already affecting visitors to public lands and waters and continued effects in the future are likely as the climate warms. Additionally, we summarize existing research on how visitors to U.S. public lands and waters are adapting to climate change. 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basaltic–rhyolitic melt storage at Yellowstone Caldera","docAbstract":"

Yellowstone Caldera is one of the largest volcanic systems on Earth, hosting three major caldera-forming eruptions in the past two million years, interspersed with periods of less explosive, smaller-volume eruptions1. Caldera-forming eruptions at Yellowstone are sourced by rhyolitic melts stored within the mid- to upper crust. Seismic tomography studies have suggested that a broad region of rhyolitic melt extends beneath Yellowstone Caldera, with an estimated melt volume that is one to four times greater than the eruptive volume of the largest past caldera-forming eruption, and an estimated melt fraction of 6–28 per cent2,3,4,5. Seismic velocity is strongly influenced by temperature, pressure and melt; however, magnetotelluric data are primarily sensitive to the presence of melt, making these data ideal for constraining volcanic systems. Here we utilize magnetotelluric data to model the resistivity structure of Yellowstone Caldera’s crustal magma reservoir and constrain the region’s potential for producing major volcanic eruptions. We find that rhyolitic melts are stored in segregated regions beneath the caldera with low melt fractions, indicating that the reservoirs are not eruptible. Typically, these regions have melt volumes equivalent to small-volume post-caldera Yellowstone eruptions. The largest region of rhyolitic melt storage, concentrated beneath northeast Yellowstone Caldera, has a storage volume similar to the eruptive volume of Yellowstone’s smallest caldera-forming eruption. We identify regions of basalt migrating from the lower crust, merging with and supplying heat to the northeast region of rhyolitic melt storage. On the basis of our analysis, we suggest that the locus of future rhyolitic volcanism has shifted to northeast Yellowstone Caldera.

","language":"English","publisher":"Nature","doi":"10.1038/s41586-024-08286-z","usgsCitation":"Bennington, N.L., Schultz, A., Bedrosian, P.A., Bowles-Martinez, E., Lynn, K.J., Stelten, M.E., Tu, X., and Thurber, C., 2025, The progression of basaltic–rhyolitic melt storage at Yellowstone Caldera: Nature, v. 637, p. 97-102, https://doi.org/10.1038/s41586-024-08286-z.","productDescription":"6 p.","startPage":"97","endPage":"102","ipdsId":"IP-168140","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":466221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.8,\n 45.2\n ],\n [\n -111.8,\n 43.9\n ],\n [\n -109.8,\n 43.9\n ],\n [\n -109.8,\n 45.2\n ],\n [\n -111.8,\n 45.2\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"637","noUsgsAuthors":false,"publicationDate":"2025-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Bennington, Ninfa Lucia 0000-0003-3230-6744","orcid":"https://orcid.org/0000-0003-3230-6744","contributorId":346226,"corporation":false,"usgs":true,"family":"Bennington","given":"Ninfa","email":"","middleInitial":"Lucia","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schultz, Adam","contributorId":347045,"corporation":false,"usgs":false,"family":"Schultz","given":"Adam","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":920677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":920676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowles-Martinez, Esteban","contributorId":347046,"corporation":false,"usgs":false,"family":"Bowles-Martinez","given":"Esteban","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":920678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920679,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920680,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tu, Xiaolei","contributorId":347047,"corporation":false,"usgs":false,"family":"Tu","given":"Xiaolei","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":920681,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thurber, Clifford","contributorId":347048,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":920682,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70263713,"text":"70263713 - 2025 - Sex differences in migration routes and non-breeding areas of a declining shorebird","interactions":[],"lastModifiedDate":"2025-02-20T15:40:42.561015","indexId":"70263713","displayToPublicDate":"2025-01-01T09:36:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Sex differences in migration routes and non-breeding areas of a declining shorebird","docAbstract":"

Migratory birds face different threats and pressures across their annual cycle, and understanding the impact of these factors on individuals is critical to the conservation of avian populations. Individuals from the same breeding population may share the same non-breeding areas, and thus experience similar conditions, or they may travel to different habitats or regions during migration and the stationary non-breeding period. Marbled Godwits (Limosa fedoa) breeding in the Northern Great Plains, which have experienced steep population declines, are thought to spend the non-breeding period primarily on the Pacific Coast of the United States and Mexico. However, little is known about migratory routes, stopover sites, and non-breeding locations of specific breeding populations, nor whether individuals from the same breeding population remain together throughout the year. We deployed satellite transmitters on four mated pairs of godwits breeding in southern Alberta, Canada, with individuals tracked over a mean of 2.2 annual cycles (range 0.6–5.6, excluding one unit that stopped transmitting immediately following deployment). Counter to our expectations, females and males separated completely following breeding, with females traveling to non-breeding areas along the coast of California, United States, and males stopping over at Great Salt Lake, Utah, United States, and spending the non-breeding period in Baja California Sur, Mexico, a distance of ~1300 km from their mates. Despite spending nine months apart, individuals from this breeding population have previously been shown to have high mate fidelity. Interestingly, individuals mostly used protected areas during the non-breeding period, in contrast to the human-modified agricultural landscapes that make up the majority of their breeding grounds. Despite a small sample size, our results suggest a strong pattern of differential migration based on sex, with implications for the specific environmental conditions, and potentially threats, faced by female and male godwits across the annual cycle.

","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/ACE-02785-200102","usgsCitation":"McKellar, A.E., Gratto-Trevor, C.L., and Tibbitts, T., 2025, Sex differences in migration routes and non-breeding areas of a declining shorebird: Avian Conservation and Ecology, v. 20, no. 1, 2, 12 p., https://doi.org/10.5751/ACE-02785-200102.","productDescription":"2, 12 p.","ipdsId":"IP-169987","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":489861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-02785-200102","text":"Publisher Index Page"},{"id":482272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.47009688253796,\n 51.647756647734525\n ],\n [\n -125.25783924890335,\n 51.647756647734525\n ],\n [\n -125.25783924890335,\n 26.731178692950436\n ],\n [\n -110.47009688253796,\n 26.731178692950436\n ],\n [\n -110.47009688253796,\n 51.647756647734525\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McKellar, Ann E.","contributorId":340997,"corporation":false,"usgs":false,"family":"McKellar","given":"Ann","email":"","middleInitial":"E.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":927928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gratto-Trevor, Cheri L","contributorId":270109,"corporation":false,"usgs":false,"family":"Gratto-Trevor","given":"Cheri","email":"","middleInitial":"L","affiliations":[{"id":48188,"text":"Environment Canada","active":true,"usgs":false}],"preferred":false,"id":927929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":224104,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T. Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":927930,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273770,"text":"70273770 - 2025 - Wind River subbasin restoration: Annual report of U.S. Geological Survey activities January 2023 through December 2023","interactions":[],"lastModifiedDate":"2026-01-28T15:33:34.368704","indexId":"70273770","displayToPublicDate":"2025-01-01T09:19:45","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":156,"text":"Annual Report","active":false,"publicationSubtype":{"id":3}},"title":"Wind River subbasin restoration: Annual report of U.S. Geological Survey activities January 2023 through December 2023","docAbstract":"

We sampled juvenile wild Oncorhynchus mykiss (Steelhead Trout) in headwater streams of the Wind River, WA, to characterize population attributes and investigate life-history metrics, particularly migratory patterns, and early life-stage survival. We used passive integrated transponder (PIT) tagging and a series of instream PIT-tag interrogation systems (PTISs) to track juveniles and adults. The Wind River subbasin is considered a wild Steelhead refuge by Washington Department of Fish and Wildlife (WDFW). No hatchery Steelhead Trout have been released in the Wind River subbasin since 1997, and hatchery adults are estimated at less than one percent of spawners in most years. Over twenty years of Steelhead Trout status and trend monitoring and research in the subbasin is contributing to understanding of population response to numerous restoration actions in the subbasin, including removal of Hemlock Dam from Trout Creek in 2009, which had an inadequate adult ladder and contributed to increased water temperatures.  

Data from our study, and companion work by Washington Department of Fish and Wildlife, are contributing to the Columbia Basin Fish and Wildlife Program (2008) Research, Monitoring, and Evaluation (RM&E) Strategy of Fish Population Status Monitoring. Specifically, this work addresses the sub-strategies of 1) Assessing the Status and Trends of Diversity of Natural Origin Fish Populations and Uncertainties Research regarding differing life histories of a wild Steelhead Trout population, 2) Assessing the Status and Trend of Adult Natural Origin Fish Populations, and 3) Monitoring and Evaluating the Effectiveness of Tributary Habitat Actions Relative to Environmental, Physical, or Biological Performance Objectives.  

During summer and fall 2023, we PIT-tagged 1,294 Steelhead Trout parr (age-0 and age-1), in the Trout Creek and upper Wind River watersheds. Age-0 parr were at high abundance due to a strong spawning run in 2023 (estimate of 814 adults from September snorkel survey compared to 22-year median of 450; Charlie Cochran, WDFW Fish Biologist, personal commun., 2022), but age-1 parr abundance was low following poor spawner numbers in 2022 (estimate of 159 adults from September snorkel survey). An additional 189 age-2 or older parr were tagged to provide fish for estimating detection efficiencies at PTISs. Steelhead Trout parr were recaptured and detected through repeat headwater sampling, smolt trapping, instream PTISs and Columbia River PIT-tag detection. We maintained and upgraded six instream PTISs to detect PIT-tagged Steelhead Trout parr, smolts, and adults, providing data for population assessments, and life-cycle research.  

Detection data from PIT-tagged adult Steelhead Trout at PTISs allow assessment of adult escapement to tributary watersheds within the Wind River subbasin. Adult Steelhead Trout detection efficiency estimates at our primary PTIS in Trout Creek have been greater than 99 percent during seven of the past nine years and have exceeded 97% at our primary PTIS in the Wind River during eight of the past nine years. Adult escapement estimates to tributary watersheds are helping evaluate the efficacy of the 2009 removal of Hemlock Dam from rkm 2.0 of Trout Creek, where it had potential negative effects on Steelhead Trout populations due to hydrologic impairment, increased temperatures, and adult passage issues because of an inadequate fish ladder.

Detections at the instream PTISs have shown trends of age-0 and age-1 Steelhead Trout parr emigration from natal areas during summer and fall, in addition to the expected movement of parr and smolts in spring. Our data suggest that often most fish from a cohort that migrate downstream will do so at age-1 for additional rearing downstream of their natal areas. It is unknown if this is ingrained behavior or a result of lack of habitat capacity. We have estimated that from 15 to 56% of parr tagged as age-0 fish in headwater areas make downstream migrations at age-1 for additional rearing. We have estimated that up to 27% of Steelhead Trout parr, tagged as age-1 fish, make downstream migrations during fall: this is especially pronounced in the upper Wind River portion of the watershed. These findings raise questions about preferred parr rearing habitat and whether migrations are density- or habitat-quality driven, and answers to such questions are part of the long-term goals of this study as active and passive habitat restoration actions occur.  

Repeat sampling at sites in the subbasin within and between years has enabled assessment of juvenile Steelhead Trout growth patterns. Growth rates (relative change in weight) of age-0 PIT-tagged parr during summer have been similar across the subbasin, though slightly lower in the Trout Creek watershed. Summer growth rates have been lower for age-1 parr in the Trout Creek watershed than the upper Wind River watershed. Yearly relative growth was similar across the subbasin for both age-0 and age-1 tagged parr.  

Non-native Salvelinus fontinalis (Brook Trout) are present in the subbasin, chiefly the Trout Creek watershed, and repeat sampling provides an index of their prevalence. Mean percent-of-catch that is Brook Trout, at four sample sites in Trout Creek, has declined from the period 1998 – 2003 to the period 2011 – 2024. Percent-of-catch and number of Brook Trout at the Trout Creek sites from 2011 through 2022, though variable, have generally declined.  

Evaluation and planning of habitat restoration efforts are critical to ensure efficient use of money and resources. Assessing Steelhead Trout life history variation in the Wind River subbasin informs research and tracking of many populations and habitat restoration and water allocation planning. Movement of Steelhead Trout parr from natal areas to other rearing areas raises questions regarding juvenile abundance, origin, and habitat use within watersheds. Improved PTISs and focused PIT-tagging of age-0 and age-1 Steelhead Trout parr allow investigation of such questions. Detailed viable salmonid population and life-history data, such as that provided by PIT-tagging and instream PTIS networks inform fisheries policy and management and enable assessment of long-term effects of habitat restoration actions such as the removal of Hemlock Dam on Trout Creek and proposed major instream habitat restoration in the upper Wind River. 

","language":"English","publisher":"Columbia Basin Fish & Wildlife Program","usgsCitation":"Jezorek, I., 2025, Wind River subbasin restoration: Annual report of U.S. Geological Survey activities January 2023 through December 2023: Annual Report, 58 p.","productDescription":"58 p.","ipdsId":"IP-170797","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":499168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Wind River subbasin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.25,\n 46\n ],\n [\n -122.25,\n 45.75\n ],\n [\n -121.75,\n 45.75\n ],\n [\n -121.75,\n 46\n ],\n [\n -122.25,\n 46\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jezorek, Ian 0000-0002-3842-3485","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":217811,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":954704,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70262126,"text":"70262126 - 2025 - Evaluating effects of tracking device attachment methods on Black Oystercatchers Haematopus bachmani","interactions":[],"lastModifiedDate":"2025-01-14T15:19:55.742575","indexId":"70262126","displayToPublicDate":"2025-01-01T09:13:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5557,"text":"Wader Study","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evaluating effects of tracking device attachment methods on Black Oystercatchers Haematopus bachmani","title":"Evaluating effects of tracking device attachment methods on Black Oystercatchers Haematopus bachmani","docAbstract":"

Advances in tracking technology are greatly improving our understanding of many aspects of avian ecology. However, the diversity of tracking devices and attachment methods necessitates better evaluation of how they affect particular taxa. We evaluated effects of tracking devices mounted on leg bands or attached using leg-loop harnesses on resighting rates of Black Oystercatchers Haematopus bachmani in Alaska and British Columbia. In Alaska, in 2019, geolocators were mounted on a leg band (n = 20) or encased in a nylon mount and attached using a leg-loop harness (n = 20), and GPS devices were attached using a leg-loop harness (n = 6). In British Columbia, Argos-PTT satellite transmitters were attached using a leg-loop harness (n = 26) in 2019 and 2020. Control birds were colour-banded (Alaska: n = 22; British Columbia: n = 27) but were not equipped with a tracking device. Surveys to resight birds with and without tracking devices were conducted in 2020 and 2021. Birds carrying geolocators, GPS devices, and Argos-PTT satellite transmitters attached using a leg-loop harness were as likely to be resighted (69% in Alaska and 62% in British Columbia) as control birds (59% in both areas). However, birds carrying geolocators mounted on leg bands were far less likely to be resighted (15%). We also used resighting data and a time-to-tag failure analysis to obtain a minimum annual survival estimate for the birds carrying an Argos-PTT satellite transmitter. The minimum annual survival estimate for these birds (0.81 ± 0.08 SE) did not differ from previously reported annual apparent survival estimates for Black Oystercatchers in British Columbia (0.91 ± 0.02 SE). These findings suggest that while Black Oystercatchers can successfully carry tracking devices weighing less than 3% of their body mass when attached using a leg-loop harness, they are negatively affected by small tracking devices mounted directly on leg bands.

","language":"English","publisher":"International Wader Study Group","doi":"10.18194/ws.00357","usgsCitation":"Rankin, C., Ware, L., Robinson, B.H., Esler, D., Coletti, H., Maftei, M., Hipfner, J.M., and Green, D., 2025, Evaluating effects of tracking device attachment methods on Black Oystercatchers Haematopus bachmani: Wader Study, v. 131, no. 3, p. 204-213, https://doi.org/10.18194/ws.00357.","productDescription":"10 p.","startPage":"204","endPage":"213","ipdsId":"IP-160860","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Rankin, Cole","contributorId":344232,"corporation":false,"usgs":false,"family":"Rankin","given":"Cole","email":"","affiliations":[],"preferred":false,"id":923173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ware, Lena","contributorId":344231,"corporation":false,"usgs":false,"family":"Ware","given":"Lena","email":"","affiliations":[{"id":82321,"text":"SFU","active":true,"usgs":false}],"preferred":false,"id":923174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Brian H.","contributorId":215576,"corporation":false,"usgs":false,"family":"Robinson","given":"Brian","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":923175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"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":923176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coletti, Heather","contributorId":258849,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":923177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maftei, Mark","contributorId":127435,"corporation":false,"usgs":false,"family":"Maftei","given":"Mark","email":"","affiliations":[],"preferred":false,"id":923178,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hipfner, J Mark","contributorId":243469,"corporation":false,"usgs":false,"family":"Hipfner","given":"J","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":923179,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Green, David","contributorId":167789,"corporation":false,"usgs":false,"family":"Green","given":"David","affiliations":[],"preferred":false,"id":923180,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70265458,"text":"70265458 - 2025 - Glass laser ablation-inductively coupled plasma-mass spectrometry analysis methods, precision, and accuracy data for tephra studies in Alaska","interactions":[],"lastModifiedDate":"2025-04-07T14:10:39.503614","indexId":"70265458","displayToPublicDate":"2025-01-01T09:08:17","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":20899,"text":"Alaska Division of Geological & Geophysical Surveys Techniques and Methods","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"1","title":"Glass laser ablation-inductively coupled plasma-mass spectrometry analysis methods, precision, and accuracy data for tephra studies in Alaska","docAbstract":"

This publication reports the analytical conditions, standard reference material (SRM) results, and preferred post-processing methodologies for laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) measurements supporting tephra studies in Alaska between 2018 and 2024. We evaluate the long-term accuracy and precision of our methodologies by comparing our calculated SRM concentrations to the Geological and Environmental Reference Materials database (GeoReM) preferred concentration values for the following SRMs: BCR-2G, BHVO-2G, ATHO-G, NIST-612, GSD-1G, and GSE-1G. We show that our LA-ICP-MS methodologies produce accurate and consistent measurements across numerous analytical sessions, even when instrumentation changed. Overall, these results indicate that Alaska tephra matrix glass measurements, like SRM measurements, are accurate, precise, and comparable between analytical sessions. This work allows us to better correlate tephra units from Alaska volcanoes throughout the Alaska-Aleutian arc, ultimately enhancing our understanding of spatiotemporal patterns of volcanism in the region. This enhanced understanding will aid in refining volcanic hazard classification and response strategies. Future versions of this dataset will provide updates to SRM results or analytical routines for sessions that have transpired since the publishing of this version.

","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/31471","usgsCitation":"Lubbers, J.E., and Loewen, M.W., 2025, Glass laser ablation-inductively coupled plasma-mass spectrometry analysis methods, precision, and accuracy data for tephra studies in Alaska: Alaska Division of Geological & Geophysical Surveys Techniques and Methods 1, Report: 21 p.; Geospatial Data, https://doi.org/10.14509/31471.","productDescription":"Report: 21 p.; Geospatial Data","ipdsId":"IP-166928","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":484238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Jordan Edward 0000-0002-3566-5091","orcid":"https://orcid.org/0000-0002-3566-5091","contributorId":330466,"corporation":false,"usgs":true,"family":"Lubbers","given":"Jordan","email":"","middleInitial":"Edward","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":932763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loewen, Matthew W. 0000-0002-5621-285X","orcid":"https://orcid.org/0000-0002-5621-285X","contributorId":213321,"corporation":false,"usgs":true,"family":"Loewen","given":"Matthew","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":932764,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70261959,"text":"70261959 - 2025 - Public, bottled, and private drinking water: Shared contaminant-mixture exposures and effects challenge","interactions":[],"lastModifiedDate":"2025-01-07T15:28:51.665345","indexId":"70261959","displayToPublicDate":"2025-01-01T08:14:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1523,"text":"Environment International","active":true,"publicationSubtype":{"id":10}},"title":"Public, bottled, and private drinking water: Shared contaminant-mixture exposures and effects challenge","docAbstract":"

BACKGROUND: Humans are primary drivers of environmental contaminant exposures worldwide, including in drinking-water (DW). In the United States (US), point-of-use DW (POU DW) is supplied via private tapwater (TW, predominantly private wells), public-supply TW, and bottled water (BW). Differences in management, monitoring, and messaging and lack of directly intercomparable exposure data influence the actual and perceived quality and safety of different DW supplies and directly impact consumer decision making.

OBJECTIVES: The purpose of this paper is to provide a meta-analysis (quantitative synthesis) of POU DW contaminant mixture exposures and corresponding potential human health effects of private-TW, public-TW, and BW by aggregating exposure results and harmonizing apical health benchmark weighted and bioactivity weighted effects predictions across previous studies by this research group.

DISCUSSION: Simultaneous exposures to multiple inorganic and organic contaminants of known or suspected human-health concern are common across all three DW supplies, with substantial variability observed in each and no systematic difference in predicted cumulative risk between supply chains. Differences in contaminant or contaminant class exposures (e.g., trace metals, disinfection byproducts), with important implications for DW quality improvements, were observed and attributed to corresponding differences in regulation and compliance monitoring.

CONCLUSION: The results indicate that human-health risks from contaminant exposures are common to and comparable in all three DW supplies, including BW. Importantly, this study’s target analytical coverage, which exceeds that currently feasible for water purveyors or homeowners, nevertheless is a substantial underestimation of the full breadth of contaminant mixtures in the environment and potentially present in DW. Thus, the results emphasize the need for improved understanding of the adverse human-health implications of long-term exposures to low level inorganic /organic contaminant mixtures across all three distribution pipelines and do not support commercial messaging of BW as a systematically safer alternative to public-TW. Regardless of the supply, increased engagement in source-water protection and drinking-water treatment, including consumer point of use treatment, is necessary to reduce risks associated with long-term DW contaminant exposures, especially in vulnerable populations, and to reduce environmental waste and plastics contamination.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envint.2024.109220","usgsCitation":"Bradley, P., Romanok, K., Smalling, K., Gordon, S.E., Huffman, B.J., Friedman, K., Villeneuve, D.L., Blackwell, B., Fitzpatrick, S.C., Focazio, M., Medlock-Kakaley, E., Meppelink, S., Navas-Acien, A., Nigra, A.E., and Schreiner, M., 2025, Public, bottled, and private drinking water: Shared contaminant-mixture exposures and effects challenge: Environment International, v. 195, 109220, 18 p., https://doi.org/10.1016/j.envint.2024.109220.","productDescription":"109220, 18 p.","ipdsId":"IP-124216","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":466670,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envint.2024.109220","text":"Publisher Index Page"},{"id":465752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Texas","interactions":[],"lastModifiedDate":"2025-02-24T15:47:14.578888","indexId":"70263776","displayToPublicDate":"2025-01-01T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Population estimates and land cover use of wintering Mountain Plovers in Texas","docAbstract":"

Conservation of migratory birds throughout the full annual cycle requires a comprehensive understanding of abundance and distribution in interconnected breeding, migration, and wintering habitats. The Mountain Plover (Anarhynchus montanus) is a rare endemic breeder of the Rocky Mountain and Great Plains regions that migrates to wintering grounds in the southwestern USA and northern Mexico. Information regarding its wintering abundance and distribution, particularly in Texas, is limited. This study provides the first population estimate for Mountain Plovers wintering in Texas and examines factors influencing their land cover use. Through distance sampling surveys in six ecoregions of Texas, we estimated an annual wintering population of 3096 (95% CI 1464–6547) Mountain Plovers during 2019–2020, with the greatest abundances in the Southern Texas Plains and Western Gulf Coastal Plain ecoregions. The highest plover densities were in the Southern Texas Plains and Central Great Plains ecoregions. Most plovers were found in cultivated crops, particularly tilled fields and sod farms, and plovers preferentially selected crop fields without residual vegetation or stubble. Grass/hay fields were used less, perhaps because of tall vegetation. Our findings highlight the significance of Texas as a wintering area for Mountain Plovers and emphasize the importance of specific cropland habitats for this species. These results provide crucial insights for conservation and management efforts aimed at protecting Mountain Plovers throughout their annual cycle.

","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/JFO-00583-960101","usgsCitation":"Lyons, J.E., Andres, B.A., Stone, K., Pierce, A., and Kruse, K.L., 2025, Population estimates and land cover use of wintering Mountain Plovers in Texas: Journal of Field Ornithology, v. 96, no. 1, 1, 10 p., https://doi.org/10.5751/JFO-00583-960101.","productDescription":"1, 10 p.","ipdsId":"IP-165312","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":489949,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/jfo-00583-960101","text":"Publisher Index Page"},{"id":482380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":928224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Kelli L.","contributorId":317987,"corporation":false,"usgs":false,"family":"Stone","given":"Kelli L.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":928225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pierce, Allison K.","contributorId":317984,"corporation":false,"usgs":false,"family":"Pierce","given":"Allison K.","affiliations":[{"id":6709,"text":"University of Colorado, Denver","active":true,"usgs":false}],"preferred":false,"id":928226,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kruse, Kammie L.","contributorId":174967,"corporation":false,"usgs":false,"family":"Kruse","given":"Kammie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":928227,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275145,"text":"70275145 - 2025 - Using bioavailability modeling to refine copper treatments for zebra mussel control and better understanding risks to non-target species","interactions":[],"lastModifiedDate":"2026-04-17T16:28:53.865912","indexId":"70275145","displayToPublicDate":"2025-01-01T00:00:00","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}},"title":"Using bioavailability modeling to refine copper treatments for zebra mussel control and better understanding risks to non-target species","docAbstract":"

Copper can be toxic to aquatic organisms at high concentrations and has been previously used successfully to control zebra mussels (Dreissena polymorpha). Because copper’s toxicity changes with water chemistry, using the same copper concentration in different waterbodies could yield different outcomes. We demonstrate how measuring water chemistry parameters and using the Biotic Ligand Model (BLM) and multiple linear regression (MLR) models can predict a suitable, site-specific copper concentration for management. We exposed zebra mussel adults and non-target organisms to varying concentrations of copper over 10 d in a mobile laboratory. We found that one non-target species, Daphnia magna, had a 50% chance of survival at 9.50 µg Cu/L (i.e., the 50% lethal concentration, LC50), within our BLM-predicted range of 3.38–16.95 µg Cu/L LC50 values. In the future, managers could make similar predictions and tailor their copper concentrations to their management goals. We also measured zebra mussel larvae mortality at copper concentrations ranging from 0 to 191 µg Cu/L. While those results were inconclusive, we present the results of this work as a foundation for future projects. Our study underscores the importance of developing site-specific copper concentration recommendations and demonstrates the potential utility of the BLM and MLR approaches for informing those recommendations.

","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-09231-4","usgsCitation":"Dahlberg, A.D., Waller, D.L., Severson, T.J., Barbour, M.T., Meulemans, M., Wise, J.K., Bajcz, A.W., Jankowski, M., and Phelps, N.B., 2025, Using bioavailability modeling to refine copper treatments for zebra mussel control and better understanding risks to non-target species: Scientific Reports, v. 15, 29333, 16 p., https://doi.org/10.1038/s41598-025-09231-4.","productDescription":"29333, 16 p.","ipdsId":"IP-158934","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":503431,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-09231-4","text":"Publisher Index Page"},{"id":503214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Pelican Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.0980916093007,\n 46.71697586578003\n ],\n [\n -96.0980916093007,\n 46.68336756522183\n ],\n [\n -95.98867709366509,\n 46.68336756522183\n ],\n [\n -95.98867709366509,\n 46.71697586578003\n ],\n [\n -96.0980916093007,\n 46.71697586578003\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Dahlberg, Angelique D.","contributorId":370091,"corporation":false,"usgs":false,"family":"Dahlberg","given":"Angelique","middleInitial":"D.","affiliations":[{"id":87946,"text":"Department of Fisheries and Minnesota Aquatic Invasive Species Research Center, University of 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K.","contributorId":370092,"corporation":false,"usgs":false,"family":"Wise","given":"Jeremy","middleInitial":"K.","affiliations":[{"id":85472,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":false}],"preferred":false,"id":959647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bajcz, Alex W.","contributorId":370093,"corporation":false,"usgs":false,"family":"Bajcz","given":"Alex","middleInitial":"W.","affiliations":[{"id":65450,"text":"Minnesota Aquatic Invasive Species Research Center, University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":959648,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jankowski, Mark","contributorId":149535,"corporation":false,"usgs":false,"family":"Jankowski","given":"Mark","affiliations":[{"id":17765,"text":"Present address: Minnesota Pollution Control Agency, 520 Lafayette Road N., St. Paul, MN 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Workshop","active":true,"publicationSubtype":{"id":10}},"title":"The diets of wild and reintroduced whooping cranes","docAbstract":"Abstract: We characterized the diets of the recently established Eastern Migratory Population (EMP) and the extant Aransas Wood Buffalo population (AWBP). Starting in 2013, frozen proventriculus and ventriculus contents from previously collected dead whooping cranes from both populations were examined to identify dietary items and quantity. EMP whooping cranes (n = 29) consumed benthic macro-invertebrates, beetles, crabs/crayfish, vegetation, seeds, mollusks, and unidentifiable vertebrates. The diets of AWBP whooping cranes (n = 7) examined included all the same food items except benthic macro-invertebrates. Both populations also consumed a variety of non-food items, including plastic and metal. Our data suggests that the wild and reintroduced whooping crane populations are consuming similar types and amounts of food items to meet their dietary requirements.","language":"English","publisher":"University of Nebraska-Lincoln","usgsCitation":"Neri, H.A., Olsen, G.H., Kindahl, E.C., and Carney, S.L., 2025, The diets of wild and reintroduced whooping cranes: Proceedings of the North American Crane Workshop, v. 16, p. 203-209.","productDescription":"7 p.","startPage":"203","endPage":"209","ipdsId":"IP-169553","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Neri, Heather A.","contributorId":365195,"corporation":false,"usgs":false,"family":"Neri","given":"Heather","middleInitial":"A.","affiliations":[{"id":37175,"text":"Hood College","active":true,"usgs":false}],"preferred":false,"id":953901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olsen, Glenn H. 0000-0002-7188-6203","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":238130,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kindahl, Eric C.","contributorId":365197,"corporation":false,"usgs":false,"family":"Kindahl","given":"Eric","middleInitial":"C.","affiliations":[{"id":37175,"text":"Hood College","active":true,"usgs":false}],"preferred":false,"id":953903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carney, Susan L.","contributorId":365198,"corporation":false,"usgs":false,"family":"Carney","given":"Susan","middleInitial":"L.","affiliations":[{"id":37175,"text":"Hood College","active":true,"usgs":false}],"preferred":false,"id":953904,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269033,"text":"70269033 - 2025 - Predictability and behavior of water transfers across basin boundaries","interactions":[],"lastModifiedDate":"2025-07-15T15:23:21.548418","indexId":"70269033","displayToPublicDate":"2024-12-31T10:12:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Predictability and behavior of water transfers across basin boundaries","docAbstract":"

Inter-basin water transfers (IBTs) are important components of water balances of basins, and they can have substantial impact on regional water availability. Flow information is often not available at locations with known IBTs, which is a drawback in several published IBT databases. Few, if any, studies examine whether IBT flow behavior can be generalized, and if these behaviors can be predicted at undocumented locations or known IBT locations with no flow information. In this study, we employ a clustering method based on image matching to identify similar classes of flow behavior of IBTs. Machine learning models are used to assess how well IBT flow characteristics (e.g., average flow) associated with these behaviors can be predicted. These evaluations of IBTs are done for two regions in the United States. Three primary classes of IBTs (seasonal, nonseasonal/not mixed, and seasonal/mixed) are identified across the two regions analyzed. The IBT flow characteristics are accurately predicted in the northeast region. In the Colorado region, however, only the flow characteristics related to timing were accurately predicted. These results indicate that the proposed modeling framework can be used to identify generalizable IBT flow characteristics. This framework is shown to predict flow characteristics with a reasonable amount of accuracy to undocumented locations and improves previously published IBT databases by backfilling flow information to locations with a known IBT presence.

","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13250","usgsCitation":"Eng, K., Medalie, L., Skinner, K.D., Ivahnenko, T., Heilman, J.A., and Smith, J.D., 2025, Predictability and behavior of water transfers across basin boundaries: Journal of the American Water Resources Association, v. 61, e13250, 15 p., https://doi.org/10.1111/1752-1688.13250.","productDescription":"e13250, 15 p.","ipdsId":"IP-147952","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":497991,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.13250","text":"Publisher Index Page"},{"id":492245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Delaware, Kansas, Maryland, Massachusetts, Nebraska, New Jersey, New Mexico, New York, Ohio, Oklahoma, Pennsylvania, Utah, Vermont, Virginia, West Virginia, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.75734409961451,\n 45.09868924907843\n ],\n [\n -80.97443752275147,\n 45.09868924907843\n ],\n [\n -80.97443752275147,\n 38.117403832345445\n ],\n [\n -72.75734409961451,\n 38.117403832345445\n ],\n [\n -72.75734409961451,\n 45.09868924907843\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.52129035595209,\n 41.629774044376546\n ],\n [\n -110.52129035595209,\n 35.490831922925224\n ],\n [\n -100.9978185470249,\n 35.490831922925224\n ],\n [\n -100.9978185470249,\n 41.629774044376546\n ],\n [\n -110.52129035595209,\n 41.629774044376546\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"61","noUsgsAuthors":false,"publicationDate":"2024-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":942990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medalie, Laura 0000-0002-2440-2149","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":258234,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skinner, Kenneth D. 0000-0003-1774-6565","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":204388,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ivahnenko, Tamara 0000-0002-1124-7688","orcid":"https://orcid.org/0000-0002-1124-7688","contributorId":344276,"corporation":false,"usgs":false,"family":"Ivahnenko","given":"Tamara","affiliations":[{"id":34498,"text":"USGS retiree","active":true,"usgs":false}],"preferred":false,"id":942993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heilman, Julian A. 0000-0002-2987-4057 jahr@usgs.gov","orcid":"https://orcid.org/0000-0002-2987-4057","contributorId":202192,"corporation":false,"usgs":true,"family":"Heilman","given":"Julian","email":"jahr@usgs.gov","middleInitial":"A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942994,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Jared David 0000-0003-3124-8255","orcid":"https://orcid.org/0000-0003-3124-8255","contributorId":329716,"corporation":false,"usgs":true,"family":"Smith","given":"Jared","email":"","middleInitial":"David","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":942995,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262583,"text":"70262583 - 2025 - Ensemble methods for parameter estimation of WRF-Hydro","interactions":[],"lastModifiedDate":"2025-01-21T17:12:52.004655","indexId":"70262583","displayToPublicDate":"2024-12-30T11:07:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Ensemble methods for parameter estimation of WRF-Hydro","docAbstract":"

The WRF-Hydro hydrological model has been used in many applications in the past with some level of history matching in the majority of these studies. In this study, we use the iterative Ensemble Smoother (iES), a powerful parameter estimation methodology implemented in the open-source PEST++ software. The iES provides an ensemble solution with an uncertainty bound instead of a single best estimate which has been the common approach in the previous WRF-Hydro studies. We discuss the importance of accounting for observation noise which results in a wider spread in the model solution. We investigate the impact of constructing objective functions by differentially weighting the observations to tune the model response toward model outputs appropriate for a specific application. Results confirm the necessity of differentially weighting the observations before calculation of the objective function as the optimization algorithm struggles with calculating parameter updates with uniform weighting. We also show that we achieve better model performance in terms of verification metrics with higher emphasis on the high flow events, when the objective function is tuned toward an application where the extreme events are of importance. We then investigate the impact of estimating more parameters, in particular we estimate a larger number of snow parameters. Results show a large improvement in the model performance. In summary, our study demonstrates the efficacy of employing iES alongside differential weighting of observations, highlighting its potential to enhance hydrological model parameter estimation.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR038048","usgsCitation":"RafieeiNasab, A., Fienen, M., Omani, N., Srivastava, I., and Dugger, A., 2025, Ensemble methods for parameter estimation of WRF-Hydro: Water Resources Research, v. 61, no. 1, e2024WR038048, 32 p., https://doi.org/10.1029/2024WR038048.","productDescription":"e2024WR038048, 32 p.","ipdsId":"IP-172257","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":481033,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr038048","text":"Publisher Index Page"},{"id":480841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"RafieeiNasab, Arezoo","contributorId":349704,"corporation":false,"usgs":false,"family":"RafieeiNasab","given":"Arezoo","affiliations":[{"id":24610,"text":"NCAR","active":true,"usgs":false}],"preferred":false,"id":924612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Omani, Nina","contributorId":349705,"corporation":false,"usgs":false,"family":"Omani","given":"Nina","affiliations":[{"id":24610,"text":"NCAR","active":true,"usgs":false}],"preferred":false,"id":924614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Srivastava, Ishita","contributorId":349706,"corporation":false,"usgs":false,"family":"Srivastava","given":"Ishita","affiliations":[{"id":24610,"text":"NCAR","active":true,"usgs":false}],"preferred":false,"id":924615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugger, Aubrey","contributorId":349707,"corporation":false,"usgs":false,"family":"Dugger","given":"Aubrey","affiliations":[{"id":24610,"text":"NCAR","active":true,"usgs":false}],"preferred":false,"id":924616,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261863,"text":"70261863 - 2025 - Shifts in marsh erosion, migration, and wave exposure over nearly two centuries of sea-level rise in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2025-05-13T15:58:12.378691","indexId":"70261863","displayToPublicDate":"2024-12-30T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19865,"text":"Estuarine Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Shifts in marsh erosion, migration, and wave exposure over nearly two centuries of sea-level rise in the Gulf of Mexico","docAbstract":"

Coastal wetlands are economically important ecosystems, but are at risk to erosion from waves, storms, and sea level rise. However, marshes can persist under rising sea level through vertical accretion and migration into adjacent higher-elevation habitats. We measured rates of marsh shoreline change and migration and compared the results for historical and modern periods in a largely undeveloped and marine-dominated estuary within the Mississippi-Alabama coast of the Northern Gulf of Mexico. Mean shoreline change rate for the modern (post-1957) period was higher than historical rates (pre-1957) at −1.55 ± 0.11 m yr−1 and -0.84 ± 0.07 m yr−1, respectively. Shoreline change rates were highest in regions where exposure to wind-driven waves increased due to barrier island migration and land loss. Marsh migration (modern 1.25 ± 0.37 m yr−1 and historical 1.01 ± 0.13 m yr−1) occurred at similar rates as shoreline erosion except for the highest erosive shorelines, leading to an overall 15% marsh loss. Upland-to-marsh conversion occurred in forested areas and may have been encouraged by changes in management practices. In the Grand Bay estuary, our data show that marsh migration is not occurring at sufficient rates to compensate for marsh loss, resulting in overall loss in marsh habitat. Overall, migration may allow marsh to persist under rising sea levels but can lead to an overall reduction in forested or freshwater habitats if steep slopes or other barriers prevent their migration.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2024.109106","usgsCitation":"Smith, K., Terrano, J.F., Jenkins, R., Pitchford, J.L., Passeri, D., and Smith, C., 2025, Shifts in marsh erosion, migration, and wave exposure over nearly two centuries of sea-level rise in the Gulf of Mexico: Estuarine Coastal and Shelf Science, v. 313, 109106, 14 p., https://doi.org/10.1016/j.ecss.2024.109106.","productDescription":"109106, 14 p.","ipdsId":"IP-158052","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488386,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2024.109106","text":"Publisher Index Page"},{"id":465577,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Mississippi","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.87381287579537,\n 30.63451483614469\n ],\n [\n -88.87381287579537,\n 30.24759264551828\n ],\n [\n -88.04948746031226,\n 30.24759264551828\n ],\n [\n -88.04948746031226,\n 30.63451483614469\n ],\n [\n -88.87381287579537,\n 30.63451483614469\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"313","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Kathryn E.L. 0000-0002-7521-7875 kelsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-7521-7875","contributorId":173264,"corporation":false,"usgs":true,"family":"Smith","given":"Kathryn","email":"kelsmith@usgs.gov","middleInitial":"E.L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":922077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terrano, Joseph F. 0000-0003-3060-7682 jterrano@usgs.gov","orcid":"https://orcid.org/0000-0003-3060-7682","contributorId":173263,"corporation":false,"usgs":true,"family":"Terrano","given":"Joseph","email":"jterrano@usgs.gov","middleInitial":"F.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":922078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Robert L. III 0000-0003-2078-4618","orcid":"https://orcid.org/0000-0003-2078-4618","contributorId":202181,"corporation":false,"usgs":true,"family":"Jenkins","given":"Robert L.","suffix":"III","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":922079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitchford, Jonathan L 0000-0003-1168-5087","orcid":"https://orcid.org/0000-0003-1168-5087","contributorId":260687,"corporation":false,"usgs":false,"family":"Pitchford","given":"Jonathan","email":"","middleInitial":"L","affiliations":[{"id":52643,"text":"Grand Bay National Estuarine Research Reserve","active":true,"usgs":false}],"preferred":false,"id":922080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Passeri, Davina L. 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":922081,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Christopher G. 0000-0002-8075-4763","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":218439,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":922082,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262014,"text":"70262014 - 2025 - Cleaner cuts: Farmed fish and skin-off fillets are lower in per- and polyfluoroalkyl substances (PFAS)","interactions":[],"lastModifiedDate":"2025-01-10T17:41:56.156159","indexId":"70262014","displayToPublicDate":"2024-12-29T11:39:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Cleaner cuts: Farmed fish and skin-off fillets are lower in per- and polyfluoroalkyl substances (PFAS)","docAbstract":"

The ubiquitous occurrence and persistence of per- and polyfluoroalkyl substances (PFAS) in all environmental matrices and biota poses significant health risks to humans. Fish consumption is one of the main pathways humans are exposed to PFAS, yet general patterns in factors influencing PFAS content in fish fillets remain unknown. We assembled information on PFAS content (total quantified PFAS, PFOS, PFOA, and others) in fish fillets to assess the effect of fish origin (marine, freshwater, wild, or farmed), fillet type (skin-on or skin-off), and lipid content on PFAS variation across environments at a global scale. We found that these factors influenced PFAS contents in fish fillets, with concentrations reaching up to 2149 ng•g wet mass−1 (WM). Specifically, PFOS and PFOA in skin-off fillets were consistently lower in farmed than wild fish across freshwater and marine environments. In freshwater wild fish, PFOS was lower in skin-off fillets than skin-on fillets at group and species levels, and multiple PFAS showed an inverse relationship with the lipid content of skin-off fillets, though the slopes showed varying steepness depending on the carbon chain length and functional group of the PFAS. However, the high variability of PFAS content across sites in aquatic environments and the complexity of PFAS bioaccumulation mechanisms in fish tissues may lead to variable results at a fine scale (i.e., species level); this highlights general patterns of factors influencing PFAS bioaccumulation that may inform the management of human exposure to PFAS through dietary consumption.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.178266","usgsCitation":"Figueroa-Munoz, G., Murphy, C.A., Whittum, K., and Zydlewski, J.D., 2025, Cleaner cuts: Farmed fish and skin-off fillets are lower in per- and polyfluoroalkyl substances (PFAS): Science of the Total Environment, v. 959, 178266, 12 p., https://doi.org/10.1016/j.scitotenv.2024.178266.","productDescription":"178266, 12 p.","ipdsId":"IP-171224","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"959","noUsgsAuthors":false,"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":922707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":922708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittum, Kory","contributorId":347870,"corporation":false,"usgs":false,"family":"Whittum","given":"Kory","affiliations":[{"id":39965,"text":"Maine Department of Inland Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":922709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":922710,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262315,"text":"70262315 - 2025 - A universal method for the simultaneous determination of environmental pollutants in marine biological samples: Per- and polyfluoroalkyl substances and antibiotics as a case study","interactions":[],"lastModifiedDate":"2025-01-16T17:57:48.099671","indexId":"70262315","displayToPublicDate":"2024-12-26T11:55:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10742,"text":"ACS ES&T Water","active":true,"publicationSubtype":{"id":10}},"title":"A universal method for the simultaneous determination of environmental pollutants in marine biological samples: Per- and polyfluoroalkyl substances and antibiotics as a case study","docAbstract":"

Conventional detection technologies for environmental contaminants have primarily focused on providing accurate qualitative and quantitative evaluations for single pollutant types, leading to increased costs and an inability to satisfy the growing demand for detecting a broader spectrum of pollutants. Here, we introduced a novel analytical method to simultaneously measure the concentration levels of diverse environmental pollutants, characterized by their distinct properties, across complex biological samples. Per- and polyfluoroalkyl substances (PFAS) and antibiotics were used as a case study due to their frequency of detection in the environment and known impacts Our method harnesses the salting-out effect of sodium chloride on proteins within the muscle tissues of 178 marine species, which significantly reduces the addition of extraneous substances, mitigates matrix interference, and avoids reliance on solid-phase extraction or dispersive extraction agents. The method provides a simultaneous pretreatment for the detection of several compounds, with detection limits from 0.002 to 0.41 ng/g dry weight, which are substantially lower than conventional methods. Overall, this method streamlines efficiency, decreases costs, lessens matrix effects, and sets a solid groundwork for future applications in the concurrent detection of a broader spectrum of environmentally pertinent pollutants with varied characteristics.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsestwater.4c00843","usgsCitation":"Fang, D., Yang, G., Xu, B., Li, J., Lin, J., Zheng, C., Magnuson, J.T., and Qiu, W., 2025, A universal method for the simultaneous determination of environmental pollutants in marine biological samples: Per- and polyfluoroalkyl substances and antibiotics as a case study: ACS ES&T Water, v. 5, no. 1, p. 274-283, https://doi.org/10.1021/acsestwater.4c00843.","productDescription":"10 p.","startPage":"274","endPage":"283","ipdsId":"IP-169418","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":466651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Fang, Di","contributorId":348832,"corporation":false,"usgs":false,"family":"Fang","given":"Di","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":923818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Ge","contributorId":340033,"corporation":false,"usgs":false,"family":"Yang","given":"Ge","email":"","affiliations":[{"id":81428,"text":"Southern University of Science and Technology - China","active":true,"usgs":false}],"preferred":false,"id":923819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, Bentuo","contributorId":329839,"corporation":false,"usgs":false,"family":"Xu","given":"Bentuo","email":"","affiliations":[{"id":78729,"text":"Wenzhou University","active":true,"usgs":false}],"preferred":false,"id":923820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Jialin","contributorId":348835,"corporation":false,"usgs":false,"family":"Li","given":"Jialin","affiliations":[{"id":80248,"text":"Ningbo University, China","active":true,"usgs":false}],"preferred":false,"id":923821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lin, Jiayi","contributorId":348836,"corporation":false,"usgs":false,"family":"Lin","given":"Jiayi","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":923822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zheng, Chunmiao","contributorId":214041,"corporation":false,"usgs":false,"family":"Zheng","given":"Chunmiao","email":"","affiliations":[{"id":16675,"text":"U Alabama","active":true,"usgs":false}],"preferred":false,"id":923823,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":923824,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Qiu, Wenhui","contributorId":334797,"corporation":false,"usgs":false,"family":"Qiu","given":"Wenhui","email":"","affiliations":[{"id":80251,"text":"Southern University of Science and Technology, China","active":true,"usgs":false}],"preferred":false,"id":923825,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70261857,"text":"70261857 - 2025 - Biophysical simulation of wetland surface water flow to predict changing water availability in the Everglades","interactions":[],"lastModifiedDate":"2025-01-02T14:21:26.307264","indexId":"70261857","displayToPublicDate":"2024-12-25T09:40:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Biophysical simulation of wetland surface water flow to predict changing water availability in the Everglades","docAbstract":"A central challenge for water managers is to adaptively manage water availability to meet societal needs while simultaneously protecting ecosystems. Progress restoring the Everglades requires predictions of how overland flow of surface water can be increased to rehydrate and revive downstream areas without causing unintended harms. We developed a biophysical flow rate expression (BioFRE) that relates shallow overland flow to roughness dominated by spatially variable vegetation and microtopography. Hydraulic theory was combined with vegetation and topographic field data to quantify hydraulic roughness without calibrating the expression to fit hydrologic data. To assess changes in overland flow capacity, we benchmarked BioFRE against best available simulations of the historic Everglades and against present-day hydrologic data representing various levels of degradation. The simulations revealed that overland flow capacity of the Everglades in now half of what it was historically in the Everglades primarily because of the loss of deepwater sloughs. The relative sensitivity of simulated flows to the individual biophysical factors was quantified and related to habitat value and drought and flood resilience. Our approach can potentially be used in other flowing wetland and floodplain systems to understand and adaptively manage water and ecological resources.","language":"English","doi":"10.1016/j.ecoleng.2024.107491","usgsCitation":"Harvey, J., Choi, J., Wilcox, W., Brown, M., and Lal, W., 2025, Biophysical simulation of wetland surface water flow to predict changing water availability in the Everglades: Ecological Engineering, v. 212, 107491, 14 p., https://doi.org/10.1016/j.ecoleng.2024.107491.","productDescription":"107491, 14 p.","ipdsId":"IP-167812","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":466672,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2024.107491","text":"Publisher Index Page"},{"id":465565,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.1076224101966,\n 26.691819233104567\n ],\n [\n -82.1076224101966,\n 24.751056659514802\n ],\n [\n -79.55347920896048,\n 24.751056659514802\n ],\n [\n -79.55347920896048,\n 26.691819233104567\n ],\n [\n -82.1076224101966,\n 26.691819233104567\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"212","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219104,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":922038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Jay 0000-0003-1276-481X jchoi@usgs.gov","orcid":"https://orcid.org/0000-0003-1276-481X","contributorId":219096,"corporation":false,"usgs":true,"family":"Choi","given":"Jay","email":"jchoi@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":922039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilcox, Walter","contributorId":347595,"corporation":false,"usgs":false,"family":"Wilcox","given":"Walter","affiliations":[{"id":7036,"text":"South Florida Water Management District","active":true,"usgs":false}],"preferred":false,"id":922042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Michael C.","contributorId":347681,"corporation":false,"usgs":false,"family":"Brown","given":"Michael C.","affiliations":[],"preferred":false,"id":922170,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lal, Wasantha","contributorId":347594,"corporation":false,"usgs":false,"family":"Lal","given":"Wasantha","affiliations":[{"id":7036,"text":"South Florida Water Management District","active":true,"usgs":false}],"preferred":false,"id":922041,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269529,"text":"70269529 - 2025 - Potential 2050 distributions of World Terrestrial Ecosystems from projections of changes in World Climate Regions and Global Land Cover","interactions":[],"lastModifiedDate":"2025-07-25T14:24:26.715073","indexId":"70269529","displayToPublicDate":"2024-12-24T09:17:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Potential 2050 distributions of World Terrestrial Ecosystems from projections of changes in World Climate Regions and Global Land Cover","docAbstract":"

The urgency to address ecosystem loss is paramount, as both land use change and climate change will continue to rapidly alter and degrade natural ecosystems and reduce the many services they provide. To support conservation actions that mitigate impacts from these dual threats, we have developed potential World Terrestrial Ecosystem (WTE) distributions for 2050 following IPCC best practice guidelines. This projection of ecosystem distributions builds on the previously released 2015 WTEs, a snapshot of the distribution and conservation status of 431 terrestrial ecosystem types defined as distinct combinations of 18 global climate regions, 4 global landform classes, and 8 global vegetation/land cover classes. Extending that work herein, we modeled the potential 2050 WTE distributions based on projections of five CMIP6 general circulation models (GCMs) and one global land cover change model, determined for three shared socioeconomic pathway (SSP) scenarios. The climate region modeling included projections for 2050 for both mean annual temperature and mean annual aridity. Model agreement for changes to WTEs was generally high, particularly for temperature projections. Widespread changes in ecosystem classes due to shifts in climate settings and/or land cover between 2015 and 2050 were projected, with both the magnitude and specific geography of projected change largely governed by the SSP scenario. For the three SSP scenarios (sustainable development, regional rivalry, and fossil-fueled development), geographic changes in climate setting (temperature, aridity, or both) and/or changes in vegetation/land cover are projected for 29 %, 36 %, and 39 % of Earth’s terrestrial surface, respectively. These changes occur in areas where 31 %, 36 %, and 41 % of the global population lives. Projected changes in ecosystem distributions related to temperature change are approximately an order of magnitude greater than for aridity change. By offering insight into potential ecosystem changes, this new resource is intended to facilitate conservation planning and priority setting aimed at improved conservation of biodiversity and ecosystem services.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2024.e03370","usgsCitation":"Sayre, R., Frye, C., Breyer, S., Roehrdanz, P., Elsen, P., Butler, K., Brown, C., Cress, J., Karagulle, D., Martin, M.T., Sangermano, F., Smyth, R., Sohl, T., Wolff, N., Wright, D., and Wu, Z., 2025, Potential 2050 distributions of World Terrestrial Ecosystems from projections of changes in World Climate Regions and Global Land Cover: Global Ecology and Conservation, v. 57, e03370, 20 p., https://doi.org/10.1016/j.gecco.2024.e03370.","productDescription":"e03370, 20 p.","ipdsId":"IP-170996","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":493310,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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The United States imports thousands of live vertebrate species annually as part of legal trade. Escapes and releases from captivity are major pathways of invasion, however, the risk posed by the thousands of imported vertebrate species has not been systematically assessed. We conducted a horizon scan that used a data-driven climate match to filter a list of nearly 15,000 taxa drawn from across the globe of imported fish, amphibians, reptiles, birds, and mammals for rapid assessment by taxonomic experts. Experts evaluated 840 species and identified 32 (22 reptiles and 10 fishes) as having the highest risk for establishment, spread, and negative impacts. Of those high-risk species, the majority have the capacity to disrupt ecosystem processes via their role as top predators or the unique ecological niches that they occupy, while several of the snake species pose a threat to human health. High-risk species were often scored with high confidence while in contrast, low scores were attributed to a combination of ecological redundancy, low propagule pressure, or low climate match while low confidence arose from a lack of information in the literature (i.e., data deficiency). Our study therefore highlights legally imported species likely to cause the greatest harm with the recognition that many other species could also become invasive in the United States. The ranked list of vertebrate threats can be used to prioritize watchlists and inform the development of targeted regulations for importation can be applied to regions to provide a rapid, preliminary screening for large pools of potential invaders.

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A culturally important food fish in Hawai'i, Achilles tang (Acanthurus achilles Shaw), recently experienced sharp declines in biomass, density, and average length in west Hawai'i Island. In December 2022, State resource managers placed a 2-year moratorium on the Achilles tang fishery in west Hawai'i Island so that the cause of the collapse could be explored. The lack of life-history information for Achilles tang from Hawai'i, or elsewhere in its range, has been noted as an impediment to decision-making. Therefore, our objectives were to characterize this population’s age, growth, and reproductive biology. In working with community fishers, we collected 363 individuals ranging 69 – 264 mm in fork length (FL) and 0 – 39 years in age based on estimates from otoliths. Achilles tang in Hawai'i exhibit a high growth rate, reaching 138 ± 11 mm FL (mean ± SE) in their first year, and exhibit relatively little growth after their second year (< 5 mm yr−1). The majority of males (92.0% of n = 101) and females (73.6% of n = 159) were classified as spawning capable or actively spawning, without annual or lunar periodicity. Our study highlights that the basic biology of Achilles tang poses unique challenges to fisheries managers looking to ensure its sustainable harvest. Future research will aim to characterize the susceptibility of recruits’ habitat to local environmental stressors and the relative connectivity of juvenile and adult habitats.

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Damaging aquatic invasive species, such as the zebra mussel (Dreissena polymorpha), pose an ongoing concern for potential introduction and establishment in the western United States. Our study applied habitat suitability indices and network analysis to identify lakes critical to the continued westward spread and establishment of zebra mussels from a key invasion front in Texas. We created multiple networks consisting of lake nodes and connecting roadway edges. Each network represented the potential connectivity of lakes for recreational users depending on the distance boaters were likely to travel. We evaluated three networks with different maximum edge lengths based on boater movement surveys: 363-km, 125-km, and 51-km. Via graph analysis, we identified lakes critical to mussel spread by acting as hubs, stepping stones, or cutpoints in each network. Water quality-based habitat suitability indices classified most lakes in the study area as moderate to high suitability. In all networks, hubs were concentrated in northeastern Texas. At the lowest maximum edge lengths, stepping stones were also concentrated in the northeast, but could be found in the western portions of the study area as maximum travel distance increased. No cutpoints were found in the 363-km maximum edge length network, indicating a highly connected network with the potential for further western spread facilitated by stepping stones in western Texas and New Mexico. Identifying critical lakes using network analysis and habitat suitability indices provides a predictive tool for resource managers to guide the allocation of limited time and resources for management actions.

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