Highly pathogenic avian influenza (HPAI) is an ecologically and economically important animal disease that can also directly affect humans (a “zoonotic” disease). HPAI was once limited almost exclusively to domestic poultry but has rapidly adapted to diverse animal hosts. Viruses causing HPAI now appear to be maintained and dispersed by wild birds largely independent of poultry, though HPAI continues to cause considerable economic losses and supply chain disruptions in the domestic poultry trade. Coincident with the adaptation of HPAI viruses to wild birds, particularly waterfowl and gulls, increasingly diverse wild bird hosts are becoming exposed to HPAI, often resulting in disease and death. More sporadically, HPAI has caused mass mortality events, particularly among seabirds. Furthermore, viral spillover to wild and domestic mammals has become more common. Spillover to wild mammals has resulted in mortality among diverse terrestrial and marine taxa, including episodic losses of such scale as to represent potential conservation challenges. Since approximately March 2024, HPAI has also affected dairy cows, which represents a new threat to the agricultural economy. Lastly, HPAI has increasingly affected humans through domestic animal exposures, exemplifying the considerable implications of this disease beyond animal health.
Rapid changes in the ecology of HPAI are currently outpacing research efforts. For example, it is not entirely clear which newly established hosts may become reservoirs for HPAI viruses (in other words, capable of maintaining HPAI viruses within a broad population indefinitely) and how this may influence viral evolution and dissemination. As a result, there are considerable information gaps regarding HPAI in wildlife that, if filled, would improve the ability of scientists, managers, agricultural industry representatives, and healthcare professionals to understand and to anticipate the effects of HPAI on wild animal, domestic animal, environmental, and human health (“One Health”).
The U.S. Geological Survey (USGS) is the lead Federal agency providing scientific research on avian influenza viruses (AIVs), including HPAI viruses, that affect wildlife for which the Department of the Interior (DOI) has management authority. States have jurisdiction over wildlife on Federal lands within their borders (43 CFR § 24.3), so the USGS Ecosystems Mission Area (EMA) coordinates with State natural resource management agencies. The EMA focuses its research on HPAI through priorities identified by the USGS Avian Influenza Science Team (app. 1). Priorities identified by the USGS Avian Influenza Science Team are based on Administration priorities, Congressional direction, and discussions with State, Federal, and Tribal natural resource management agencies that identify specific scientific gaps that need to be filled to inform sound wildlife management decisions. Notable non-DOI Federal partners include the U.S. Department of Agriculture, the lead for the HPAI regulatory response in poultry and livestock, and the Centers for Disease Control and Prevention (CDC), the lead agency for the HPAI response pertaining to human health.
The USGS offers unique expertise and capacity pertaining to research on diseases affecting free-ranging wildlife populations. This expertise has been critical to interjurisdictional surveillance and capacity-building efforts, including programs administered by the U.S. Department of Agriculture and the CDC. The USGS also provides resources, guidance, and tools to inform surveillance and interventions conducted by natural resource management agencies. More specifically, the USGS EMA provides objective and rigorous scientific data for inferring (1) the utility of new methods to detect and characterize AIVs, including those maintained in wildlife and the environment; (2) effects of HPAI on wildlife; (3) spatiotemporal patterns of wildlife host and AIV dispersal; (4) the presence and persistence of AIVs in the environment; (5) how HPAI in wildlife influences consumptive and nonconsumptive utilization of wildlife; (6) how new tools and scientific methods may promote sound management decisions for HPAI-affected wildlife, particularly species of conservation concern; and (7) the combined effects of HPAI and other stressors on ecosystem health and resiliency.
This science strategy builds upon research outlined in a previous USGS science strategy for HPAI (2016–20) by Harris and others (2016). This strategy also details research priorities identified by the Administration (for example, U.S. Department of Agriculture, 2025) and others based on USGS Avian Influenza Science Team discussions with natural resource management agencies to address HPAI and wildlife health over the next 5 years (2025–29). This strategy presents 7 goals and 26 objectives that focus USGS and partner efforts on priorities that will fill data gaps regarding the effects of HPAI on wildlife managed by or co-managed with the U.S. Department of the Interior such that agencies and partners might anticipate or limit adverse effects on public resources. This strategy also identifies research priorities intended to address HPAI in wildlife and wildlife habitat that are anticipated to support interjurisdictional One Health efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1558","usgsCitation":"Ramey, A.M., Prosser, D.J., Hubbard, L.E., Vazquez-Meves, G., George, A., and Hopkins, M.C., 2025, U.S. Geological Survey science strategy to address highly pathogenic avian influenza and its effects on wildlife health 2025–29:\nU.S. Geological Survey Circular 1558, 26 p., https://doi.org/10.3133/cir1558.","productDescription":"vi, 26 p.","onlineOnly":"Y","ipdsId":"IP-174779","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":490570,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20161121","text":"Open-File Report 2016-1121","description":"OFR 2016-1121","linkHelpText":"- U.S. Geological Survey science strategy for highly pathogenic avian influenza in wildlife and the environment (2016–2020)"},{"id":490421,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1558/cir1558.XML"},{"id":490420,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1558/cir1558.pdf","text":"Report","size":"8.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1558"},{"id":490419,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1558/coverthb.jpg"}],"contact":"Director, Alaska Science Center
4210 University Drive
Anchorage, Alaska 99508
Wildlife diseases can have substantial impacts on wildlife populations as well as on human and domestic animal health and well-being. Although many agencies and stakeholders share a goal of supporting wildlife health, reducing wildlife disease burden is complicated by a scarcity of effective interventions for wildlife, competition for funds, and conflicting priorities. As a result, agencies are unlikely to avoid the impacts of wildlife diseases in all contexts and need to evaluate where resisting disease is most feasible and beneficial. The resist–accept–direct (RAD) framework is a tool that assists natural resource managers in exploring and communicating about management interventions, including in situations where resisting ecological changes may not be possible. In the present article, we discuss how the RAD framework could be adapted to wildlife disease contexts to address several outstanding challenges in wildlife health management.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biaf061","usgsCitation":"Moss, W.E., Schuurman, G.W., Almberg, E.S., Buttke, D., Galloway, N.L., Gibbs, S., Hubbs, A., Richgels, K., White, C.L., and Cross, P., 2025, Applying the resist-accept-direct (RAD) framework to wildlife health management: BioScience, https://doi.org/10.1093/biosci/biaf061.","ipdsId":"IP-171833","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":490998,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biaf061","text":"Publisher Index Page"},{"id":490710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Moss, Wynne Emily 0000-0002-2813-1710","orcid":"https://orcid.org/0000-0002-2813-1710","contributorId":338331,"corporation":false,"usgs":true,"family":"Moss","given":"Wynne","email":"","middleInitial":"Emily","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":940275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":940276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Almberg, Emily S.","contributorId":198304,"corporation":false,"usgs":false,"family":"Almberg","given":"Emily","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":940277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buttke, Danielle","contributorId":225082,"corporation":false,"usgs":false,"family":"Buttke","given":"Danielle","affiliations":[],"preferred":false,"id":940278,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galloway, Nathan L.","contributorId":276042,"corporation":false,"usgs":false,"family":"Galloway","given":"Nathan","email":"","middleInitial":"L.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":940279,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gibbs, Samantha E.J.","contributorId":127739,"corporation":false,"usgs":false,"family":"Gibbs","given":"Samantha E.J.","affiliations":[{"id":7128,"text":"Department of Infectious Disease and Global Health, Cummings School of Veterinary Medicine, Tufts University, North Grafton, MA 01536, USA.","active":true,"usgs":false}],"preferred":false,"id":940280,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hubbs, Anne","contributorId":356856,"corporation":false,"usgs":false,"family":"Hubbs","given":"Anne","affiliations":[{"id":85260,"text":"Alberta Environment and Protected Areas","active":true,"usgs":false}],"preferred":false,"id":940281,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Richgels, Katherine 0000-0003-2834-9477 krichgels@usgs.gov","orcid":"https://orcid.org/0000-0003-2834-9477","contributorId":167016,"corporation":false,"usgs":true,"family":"Richgels","given":"Katherine","email":"krichgels@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":940282,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":940283,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":204814,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":940284,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70268224,"text":"70268224 - 2025 - Hydraulic connectivity and hydrochemistry influence microbial community structure in agriculturally-affected alluvial aquifers in the Midwestern United States","interactions":[],"lastModifiedDate":"2025-07-10T14:55:33.936187","indexId":"70268224","displayToPublicDate":"2025-06-12T09:53:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Hydraulic connectivity and hydrochemistry influence microbial community structure in agriculturally-affected alluvial aquifers in the Midwestern United States","docAbstract":"Alluvial aquifers can provide ecosystem services and drinking water, but much remains unknown about human effects on aquifer microbiomes. Therefore, we used amplicon sequencing and hydrochemical characterization to pair microbial communities with environmental conditions across 37 alluvial aquifer wells. The study region spanned eastern Iowa and southern Minnesota (USA) and contained a combination of drinking water and monitoring wells. In terms of microbial ecology, dominant phyla across the wells included Proteobacteria, Bacteroidota, Patescibacteria, Planctomycetota, and Nitrospirota. Tritium, an indicator of infiltration and surface water influence, was the highest correlated variable with the Shannon index (α-diversity) by the Spearman rank sum (ρ = 0.60) and one of only four significant environmental variables in the constrained correspondence analysis. We built random forest regression models to predict tritium concentrations from microbial family relative abundance (held-out testing coefficient of determination (R2) = 0.77 and mean absolute percentage error = 7%) and interpreted the models with Shapley additive explanation values. The most important families for predicting tritium concentrations were Nitrosopumilaceae and Methylomirabilaceae. Upwelling methane could contribute to the unusual coupling of ammonia oxidation by Nitrosopumilaceae with simultaneous nitrite-dependent methane oxidation by Methylomirabilaceae. Taken together, we illuminate the relationship among hydrochemistry, hydraulic connectivity, and alluvial aquifer microbiomes.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5c03155","usgsCitation":"Schroer, H., Markland, K.M., Ling, F., and Just, C.L., 2025, Hydraulic connectivity and hydrochemistry influence microbial community structure in agriculturally-affected alluvial aquifers in the Midwestern United States: Environmental Science and Technology, v. 59, no. 24, p. 12279-12291, https://doi.org/10.1021/acs.est.5c03155.","productDescription":"13 p.","startPage":"12279","endPage":"12291","ipdsId":"IP-169344","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":490985,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c03155","text":"Publisher Index Page"},{"id":490912,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.83164241356687,\n 40.76134763192243\n ],\n [\n -91.10093521849011,\n 40.76936587633509\n ],\n [\n -90.98444609847996,\n 41.11334070983898\n ],\n [\n -91.07975626082516,\n 41.37610567914743\n ],\n [\n -90.60321047132624,\n 41.542769354616865\n ],\n [\n -90.25374320174629,\n 41.8669244399662\n ],\n [\n -93.07065717548669,\n 43.93016784084011\n ],\n [\n -93.73782127267788,\n 43.983536010475774\n ],\n [\n -93.97079768432694,\n 42.314858946682534\n ],\n [\n -93.85431056836552,\n 41.92210428808144\n ],\n [\n -91.83164241356687,\n 40.76134763192243\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"24","noUsgsAuthors":false,"publicationDate":"2025-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Schroer, Hunter","contributorId":356950,"corporation":false,"usgs":false,"family":"Schroer","given":"Hunter","affiliations":[{"id":85293,"text":"Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":940520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markland, Kendra M. 0000-0002-0276-8684 kmarkland@usgs.gov","orcid":"https://orcid.org/0000-0002-0276-8684","contributorId":306212,"corporation":false,"usgs":true,"family":"Markland","given":"Kendra","email":"kmarkland@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ling, Fangqiong","contributorId":356951,"corporation":false,"usgs":false,"family":"Ling","given":"Fangqiong","affiliations":[{"id":85296,"text":"Department of Energy, Environmental, & Chemical Engineering, Washington University in St. Louis","active":true,"usgs":false}],"preferred":false,"id":940522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Just, Craig L.","contributorId":178037,"corporation":false,"usgs":false,"family":"Just","given":"Craig","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":940523,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268380,"text":"70268380 - 2025 - Assimilation of reduced carbon triggers platinum alloy saturation in mafic and ultramafic magmas","interactions":[],"lastModifiedDate":"2025-08-04T15:53:27.169903","indexId":"70268380","displayToPublicDate":"2025-06-12T09:09:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Assimilation of reduced carbon triggers platinum alloy saturation in mafic and ultramafic magmas","docAbstract":"It is generally observed that magmatic sulfide ores have higher ratios of Pd/Pt than the mantle-like values of their parental magmas. This discrepancy has defied simple explanation because the partitioning behavior of both elements between sulfide and silicate liquids is very similar. Assimilation of sulfur- and carbon-rich country rocks by mafic and ultramafic magmas is considered a critical, if not essential, step in the formation of magmatic base metal sulfide deposits. Although there is general consensus that the assimilation of external sulfur and carbon promotes sulfide saturation, the effect of carbon assimilation on the solubilities of platinum-group elements in natural S-bearing silicate melt has been overlooked. In this study, we investigate the variations of platinum and palladium solubilities during assimilation of graphite and methane through thermodynamic modeling, in comparison with data from an array of highly distinctive magmatic sulfide ore systems representing ages from Archean to Paleozoic, melt compositions from komatiite to basalt, and magmatic settings including lavas, hypabyssal intrusions, plutonic continental arc roots, and plutonic layered intrusions, namely: Raglan, Norilsk-Talnakh, Lac des Iles, and the J-M Reef of the Stillwater Complex. We model assimilation-fractional crystallization processes to estimate the reduction of oxygen fugacity (fO2) of the melt due to incorporation of graphite and methane. The simulations show that although Pd remains highly soluble during the progressive assimilation of reduced carbon, Pt solubility decreases significantly as the silicate melt becomes increasingly reduced. With less than 8% of sediment assimilation, Pt alloy may saturate and then deviate from sulfide-undersaturated silicate melts, concomitantly increasing the Pd/Pt value of the remaining melts of the Raglan and Norilsk-Talnakh systems. For the Lac des Iles and Stillwater systems, a higher extent of assimilation is needed to reach Pt saturation because of the relatively carbon-poor nature of the lower crustal rocks. The assimilation of methane volatiles is shown to be more effective than graphite assimilation, and it provides a pathway to Pt alloy fractionation in the absence of detectable amounts of bulk host-rock assimilation. High Pd/Pt values have been documented in many world-class magmatic sulfide deposits whose parental magmas have demonstrably experienced crustal contamination. Our model suggests that although anomalous Pd/Pt values may be explained by other mechanisms such as incongruent melting of preexisting sulfide or differences in the diffusivities of the metals within achieving equilibration, the assimilation of graphite or methane may play an important role in the global occurrence of magmatic sulfide ores with elevated Pd/Pt values.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.5165","usgsCitation":"Li, Y., Smith, W.D., Jenkins, M., Yao, Z., and Mungall, J.E., 2025, Assimilation of reduced carbon triggers platinum alloy saturation in mafic and ultramafic magmas: Economic Geology, v. 120, no. 4, p. 1025-1036, https://doi.org/10.5382/econgeo.5165.","productDescription":"12 p.","startPage":"1025","endPage":"1036","ipdsId":"IP-151208","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":491179,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Ying Zhou","contributorId":357308,"corporation":false,"usgs":false,"family":"Li","given":"Ying Zhou","affiliations":[{"id":85402,"text":"Carleton University; Saskatchewan Geological Survey","active":true,"usgs":false}],"preferred":false,"id":941157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, William D.","contributorId":335361,"corporation":false,"usgs":false,"family":"Smith","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":941158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Michael 0000-0002-4261-409X mjenkins@usgs.gov","orcid":"https://orcid.org/0000-0002-4261-409X","contributorId":172433,"corporation":false,"usgs":true,"family":"Jenkins","given":"Michael","email":"mjenkins@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":941159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yao, Zhuosen","contributorId":357309,"corporation":false,"usgs":false,"family":"Yao","given":"Zhuosen","affiliations":[{"id":12433,"text":"China University of Geosciences","active":true,"usgs":false}],"preferred":false,"id":941160,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mungall, James E. 0000-0001-9726-8545","orcid":"https://orcid.org/0000-0001-9726-8545","contributorId":269537,"corporation":false,"usgs":false,"family":"Mungall","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":941161,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268974,"text":"70268974 - 2025 - A generalized deep learning model to detect and classify volcano seismicity","interactions":[],"lastModifiedDate":"2025-07-11T13:50:23.102749","indexId":"70268974","displayToPublicDate":"2025-06-12T08:44:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7593,"text":"Volcanica","active":true,"publicationSubtype":{"id":10}},"title":"A generalized deep learning model to detect and classify volcano seismicity","docAbstract":"Volcano seismicity is often detected and classified based on its spectral properties. However, the wide variety of volcano seismic signals and increasing amounts of data make accurate, consistent, and efficient detection and classification challenging. Machine learning (ML) has proven very effective at detecting and classifying tectonic seismicity, particularly using Convolutional Neural Networks (CNNs) and leveraging labeled datasets from regional seismic networks. Progress has been made applying ML to volcano seismicity, but efforts have typically been focused on a single volcano and are often hampered by the limited availability of training data. We build on the method of Tan et al. [2024] (10.1029/2024JB029194) to generalize a spectrogram-based CNN termed the VOlcano Infrasound and Seismic Spectrogram Neural Network (VOISS-Net) to detect and classify volcano seismicity at any volcano. We use a diverse training dataset of over 270,000 spectrograms from multiple volcanoes: Pavlof, Semisopochnoi, Tanaga, Takawangha, and Redoubt volcanoes\\replaced (Alaska, USA); Mt. Etna (Italy); and Kīlauea, Hawai`i (USA). These volcanoes present a wide range of volcano seismic signals, source-receiver distances, and eruption styles. Our generalized VOISS-Net model achieves an accuracy of 87 % on the test set. We apply this model to continuous data from several volcanoes and eruptions included within and outside our training set, and find that multiple types of tremor, explosions, earthquakes, long-period events, and noise are successfully detected and classified. The model occasionally confuses transient signals such as earthquakes and explosions and misclassifies seismicity not included in the training dataset (e.g. teleseismic earthquakes). We envision the generalized VOISS-Net model to be applicable in both research and operational volcano monitoring settings.
Salt marshes play a critical role in providing economic and ecological benefits but are susceptible to shoreline erosion. Natural and nature-based features (NNBF), such as breakwater reefs, are often used to reduce shoreline exposure to wave action and provide biogenic benefits. However, waves and water level are also responsible for the sediment supply necessary for marsh accretion, a critical component of marsh resilience to sea level rise. The goal of this study was to evaluate the effects of two subtidal breakwater reefs on wave energy, marsh shoreline erosion, and sediment deposition onto the marsh platform. As a restoration intervention, oyster shell and limestone gravel reefs were constructed within the nearshore zone of a high-energy shoreline where active shoreline erosion is causing marsh habitat loss. Although both sediment deposition and shoreline erosion were reduced after reef installation at all sites, the reefs demonstrated a statistically significant reduction in sediment deposition, whereas its effect on decreasing shoreline erosion was less pronounced. This variability in erosion reduction may be partly influenced by the physical dimensions of the reefs, affecting wave attenuation and leeward circulation. Wave measurements indicate that the reef reduced wave energy, particularly during south and southeast winds that could lead to the largest onshore waves. Given that these strong onshore winds are seasonal, extending the duration of data collection could provide deeper insights into the reef's influence on marsh shoreline erosion. This study is novel in that there are limited experimental or observational studies quantifying the wave reduction capacity and effects of subtidal reefs on marsh shoreline erosion and sediment dynamics. Studies such as these are critical to evaluate the capacity of subtidal reefs to protect marsh shorelines from erosion, but also to measure their impact on accretion processes necessary for the marsh to maintain elevation under future sea level rise.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s12237-025-01564-7","usgsCitation":"Smith, K., Pitchford, J.L., Sparks, E., Archer, M., Virden, M., Terrano, J.F., and Smith, C., 2025, Evaluating the influence of constructed subtidal reefs on marsh shoreline erosion, sediment deposition, and wave energy: Estuaries and Coasts, v. 48, 128, 19 p., https://doi.org/10.1007/s12237-025-01564-7.","productDescription":"128, 19 p.","ipdsId":"IP-166569","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491001,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-025-01564-7","text":"Publisher Index Page"},{"id":490713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Grand Bay National Estuarine Research Reserve, Point Aux Chenes Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.45901043533199,\n 30.376549622657805\n ],\n [\n -88.45901043533199,\n 30.326593096623256\n ],\n [\n -88.40111942768058,\n 30.326593096623256\n ],\n [\n -88.40111942768058,\n 30.376549622657805\n ],\n [\n -88.45901043533199,\n 30.376549622657805\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"48","noUsgsAuthors":false,"publicationDate":"2025-06-12","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":940244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitchford, Jonathan L.","contributorId":301251,"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":940245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sparks, Eric L.","contributorId":356848,"corporation":false,"usgs":false,"family":"Sparks","given":"Eric L.","affiliations":[{"id":85257,"text":"Mississippi-Alabama Sea Grant","active":true,"usgs":false}],"preferred":false,"id":940246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Archer, Michael J.","contributorId":356849,"corporation":false,"usgs":false,"family":"Archer","given":"Michael J.","affiliations":[{"id":52643,"text":"Grand Bay National Estuarine Research Reserve","active":true,"usgs":false}],"preferred":false,"id":940247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Virden, Matthew","contributorId":350892,"corporation":false,"usgs":false,"family":"Virden","given":"Matthew","affiliations":[{"id":83862,"text":"Mississippi State University, Mississippi","active":true,"usgs":false}],"preferred":false,"id":940248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":940249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":940250,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273217,"text":"70273217 - 2025 - Risk implications of Poisson assumptions and declustering inferred from a fully time-dependent earthquake forecast","interactions":[],"lastModifiedDate":"2025-12-22T15:27:13.439704","indexId":"70273217","displayToPublicDate":"2025-06-12T08:20:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Risk implications of Poisson assumptions and declustering inferred from a fully time-dependent earthquake forecast","docAbstract":"We use the Third Uniform California Earthquake Rupture Forecast Epidemic Type Aftershock Sequence model, which is fully time-dependent in terms of including spatiotemporal clustering, to evaluate the effects of the Poisson assumption and declustering algorithms on statewide loss exceedance curves. The model is simulation based, meaning it produces synthetic catalogs that exhibit realistic behavior with respect to aftershocks and multi-fault earthquakes. A Poisson version of the model was constructed by randomizing event times, and the influence of two declustering algorithms was examined as well. We demonstrate that the probability of one-or-more loss exceedances (occurrence exceedance probability) is greater for the Poisson model because it has fewer seismically quiet time windows. The discrepancy between dollar loss estimates with a given exceedance probability is up to a factor of 32% but varies depending on the loss threshold (the x-axis value) and the forecast duration (we examined a range between 24 h and 50 years, with the discrepancy for the latter being negligible). We discuss how the one-or-more loss exceedance metric is questionable because it ignores all but the maximum loss experienced in each timeframe. An alternative metric based on total aggregate loss in each time window (aggregate exceedance probability) was therefore also examined, for which the Poisson model again implies higher risk at intermediate losses but lower risk at higher losses (because large, triggered events now contribute to total aggregate losses for the fully time-dependent model). We also argue that declustering is not a scientifically justifiable way to deal with full time dependence, in agreement with a chorus from other recent studies. It is difficult to draw generally applicable conclusions from our study, in part because application specific details will likely be important, but our results highlight how full time dependence can be reckoned with once authoritative forecast models are made available.
","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1177/87552930251340677","usgsCitation":"Field, E.H., Milner, K., and Porter, K.A., 2025, Risk implications of Poisson assumptions and declustering inferred from a fully time-dependent earthquake forecast: Earthquake Spectra, v. 41, no. 3, p. 1977-1997, https://doi.org/10.1177/87552930251340677.","productDescription":"21 p.","startPage":"1977","endPage":"1997","ipdsId":"IP-175972","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":497866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253025","programNote":"National and Global Petroleum Assessment","usgsCitation":"Timm, K.K., Schenk, C.J., Hearon, J.S., Finn, T.M., Gelman, S.E., Woodall, C.A., Mercier, T.M., Cicero, A.D., Drake, R.M., II, Ellis, G.S., Gardner, M.H., Johnson, B.G., Lagesse, J.H., Le, P.A., Leathers-Miller, H.M., and Young, S.S., 2025, Assessment of continuous oil and gas resources in the Upper Cretaceous Niobrara Formation in the Southwestern Wyoming Province, Wyoming and Colorado, 2024: U.S. Geological Survey Fact Sheet 2025–3025, 4 p., https://doi.org/10.3133/fs20253025. ","productDescription":"Report: 2 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-157886","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":494139,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118649.htm","linkFileType":{"id":5,"text":"html"}},{"id":490212,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SO70CX","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project - Southwestern Wyoming Province, Niobrara Formation Continuous Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":490211,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3025/fs20253025.pdf","text":"Report","size":"1.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3025"},{"id":490210,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3025/coverthb.jpg"},{"id":490387,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3025/images"},{"id":490388,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3025/fs20253025.xml"},{"id":490436,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253025/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3025"}],"country":"United States","state":"Colorado, Wyoming","otherGeospatial":"Niobrara Formation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.10003951443201,\n 43.951167856587375\n ],\n [\n -111.10003951443201,\n 39.53456629450929\n ],\n [\n -106,\n 39.53456629450929\n ],\n [\n -106,\n 43.951167856587375\n ],\n [\n -111.10003951443201,\n 43.951167856587375\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Efficient learning about disease dynamics in free-ranging wildlife systems can benefit from active surveillance that is standardized across different ecological contexts. For example, active surveillance that targets specific individuals and populations with standardized sampling across ecological contexts (landscape-scale targeted surveillance) is important for developing a mechanistic understanding of disease emergence, which is the foundation for improving risk assessment of zoonotic or wildlife-livestock disease outbreaks and predicting hotspots of disease emergence. However, landscape-scale targeted surveillance systems are rare and challenging to implement. Increasing experience and infrastructure for landscape-scale targeted surveillance will improve readiness for rapid deployment of this type of surveillance in response to new disease emergence events. Here, we describe our experience developing and rapidly deploying a landscape-scale targeted surveillance system for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in two free-ranging deer species across their ranges in the United States. Our surveillance system was designed to collect data across individual, population, and landscape scales for future analyses aimed at understanding mechanisms and risk factors of SARS-CoV-2 transmission, evolution, and persistence. Our approach leveraged partnerships between state and federal public service sectors and academic researchers in a landscape-scale targeted surveillance research network. Methods describe our approach to developing the surveillance network and sampling design. Results report challenges with implementing our intended sampling design, specifically how the design was adapted as different challenges arose and summarize the sampling design that has been implemented thus far. In the discussion, we describe strategies that were important for the successful deployment of landscape-scale targeted surveillance, development and operation of the research network, construction of similar networks in the future, and analytical approaches for the data based on the sampling design.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71492","usgsCitation":"Pepin, K.M., Combs, M., Bastille-Rousseau, G., Craft, M., Cross, P., Diuk-Wasser, M., Gagne, R., Gallo, T., Garwood, T., Heale, J., Hewitt, J., Hoy-Petersen, J., Malmberg, J., Mullinax, J.M., Plimpton, L., Smith, L., VanAcker, M., Chandler, J., Walter, W., WIlson-Henjum, G., Wittemyer, G., and Manlove, K.R., 2025, Expanding national-scale wildlife disease surveillance systems with research networks: Ecology and Evolution, v. 15, no. 6, e71492, 21 p., https://doi.org/10.1002/ece3.71492.","productDescription":"e71492, 21 p.","ipdsId":"IP-167320","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":491396,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71492","text":"Publisher Index Page"},{"id":491393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Pepin, Kim M.","contributorId":279406,"corporation":false,"usgs":false,"family":"Pepin","given":"Kim","email":"","middleInitial":"M.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":941379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Combs, Matthew A.","contributorId":357414,"corporation":false,"usgs":false,"family":"Combs","given":"Matthew A.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":941380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bastille-Rousseau, Guillaume 0000-0001-6799-639X","orcid":"https://orcid.org/0000-0001-6799-639X","contributorId":190877,"corporation":false,"usgs":false,"family":"Bastille-Rousseau","given":"Guillaume","email":"","affiliations":[{"id":40724,"text":"Cooperative Wildlife Research Laboratory and Department of Forestry, Southern Illinois University, 251 Life Science II, Mail Code 6504, Carbondale, Illinois 62901 USA","active":true,"usgs":false}],"preferred":false,"id":941381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Craft, M.E.","contributorId":357418,"corporation":false,"usgs":false,"family":"Craft","given":"M.E.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":941382,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":204814,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":941383,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diuk-Wasser, M.A.","contributorId":357421,"corporation":false,"usgs":false,"family":"Diuk-Wasser","given":"M.A.","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":941384,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gagne, R.B.","contributorId":357423,"corporation":false,"usgs":false,"family":"Gagne","given":"R.B.","affiliations":[{"id":83379,"text":"University of Pennsylvania School of Veterinary Medicine","active":true,"usgs":false}],"preferred":false,"id":941385,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gallo, Travis","contributorId":272224,"corporation":false,"usgs":false,"family":"Gallo","given":"Travis","email":"","affiliations":[],"preferred":false,"id":941386,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Garwood, Tyler","contributorId":225442,"corporation":false,"usgs":false,"family":"Garwood","given":"Tyler","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":941387,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Heale, J.D.","contributorId":357426,"corporation":false,"usgs":false,"family":"Heale","given":"J.D.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":941388,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hewitt, J.","contributorId":357429,"corporation":false,"usgs":false,"family":"Hewitt","given":"J.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":941389,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hoy-Petersen, J.","contributorId":357432,"corporation":false,"usgs":false,"family":"Hoy-Petersen","given":"J.","affiliations":[{"id":83379,"text":"University of Pennsylvania School of Veterinary Medicine","active":true,"usgs":false}],"preferred":false,"id":941390,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Malmberg, Jennifer L.","contributorId":179193,"corporation":false,"usgs":false,"family":"Malmberg","given":"Jennifer L.","affiliations":[],"preferred":false,"id":941391,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":941392,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Plimpton, L.","contributorId":357435,"corporation":false,"usgs":false,"family":"Plimpton","given":"L.","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":941393,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Smith, Lauren","contributorId":357446,"corporation":false,"usgs":false,"family":"Smith","given":"Lauren","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":941394,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"VanAcker, M.C.","contributorId":357438,"corporation":false,"usgs":false,"family":"VanAcker","given":"M.C.","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":941395,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Chandler, J.C.","contributorId":357441,"corporation":false,"usgs":false,"family":"Chandler","given":"J.C.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":941397,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":941398,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"WIlson-Henjum, Grete","contributorId":302025,"corporation":false,"usgs":false,"family":"WIlson-Henjum","given":"Grete","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":941399,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Wittemyer, George","contributorId":198621,"corporation":false,"usgs":false,"family":"Wittemyer","given":"George","email":"","affiliations":[],"preferred":false,"id":941400,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Manlove, Kezia R.","contributorId":198305,"corporation":false,"usgs":false,"family":"Manlove","given":"Kezia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":941401,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70268778,"text":"70268778 - 2025 - Targeted quantitation of 6ppd-quinone in fish tissue samples with liquid chromatography-tandem mass spectrometry","interactions":[],"lastModifiedDate":"2025-11-18T16:55:35.803204","indexId":"70268778","displayToPublicDate":"2025-06-11T10:44:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Targeted quantitation of 6ppd-quinone in fish tissue samples with liquid chromatography-tandem mass spectrometry","docAbstract":"The tire additive transformation product N-(1,3-dimethylbutyl)-N’-phenyl-p-phenylenediamine-quinone (6PPD-quinone) has recently garnered global attention due to its acute toxicity to some salmonids, such as coho salmon (Oncorhynchus kisutch), and its ubiquitous presence in urban stormwater systems. In the present study, we developed and compared the extraction efficiency of two sample preparation methodologies for quantification of 6PPD-quinone among two fish tissue sample types that included fillet of smallmouth bass (Micropterus dolomieu) and whole-body samples of O. kisutch fry subjected to in vivo exposure tests with 6PPD-quinone. The two sample preparation methods tested included an accelerated solvent extraction (ASE) approach and a sonication extraction approach. Both sample preparation methods included identical purification steps for the crude sample extracts with enhanced matrix removal cartridges. The purified sample extracts were subjected to targeted analysis of 6PPD-quinone using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The results showed that extractions made with the reported ASE method demonstrated significantly higher absolute recovery (80–96%) of the extracted internal standard, [13C6]-6PPD-quinone, than sonication-based extractions (74–80%) in both fish tissue sample types. The proposed ASE method shows acceptable limits of quantification (0.37–0.67 ng g−1), linearity (R2 > 0.996), and repeatability (RSD ≤ 9%). This work advances research capabilities for investigations on the toxicokinetic processes of 6PPD-quinone in biological samples.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf151","usgsCitation":"Moody, A.H., Soucek, D.J., and Alvarez, D.A., 2025, Targeted quantitation of 6ppd-quinone in fish tissue samples with liquid chromatography-tandem mass spectrometry: Environmental Toxicology and Chemistry, v. 44, no. 10, p. 2807-2817, https://doi.org/10.1093/etojnl/vgaf151.","productDescription":"11 p.","startPage":"2807","endPage":"2817","ipdsId":"IP-173953","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":492074,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgaf151","text":"Publisher Index Page"},{"id":491845,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Moody, Adam H. 0000-0001-6160-7920","orcid":"https://orcid.org/0000-0001-6160-7920","contributorId":302592,"corporation":false,"usgs":true,"family":"Moody","given":"Adam","email":"","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":941928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soucek, David J. 0000-0002-7741-0193 drieckssoucek@usgs.gov","orcid":"https://orcid.org/0000-0002-7741-0193","contributorId":295408,"corporation":false,"usgs":true,"family":"Soucek","given":"David","email":"drieckssoucek@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":941929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, David A. 0000-0002-6918-2709","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":220763,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":941930,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268302,"text":"70268302 - 2025 - Human perturbations to mercury in global rivers","interactions":[],"lastModifiedDate":"2025-06-20T15:03:57.600684","indexId":"70268302","displayToPublicDate":"2025-06-11T10:03:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Human perturbations to mercury in global rivers","docAbstract":"Mercury compounds are potent neurotoxins that pose threats to human health, primarily through fish consumption. Rivers, critical for drinking water and food supply, have seen rapid increases in mercury concentrations and export to coastal margins since the Industrial Revolution (~1850). However, patterns of these changes remain understudied, limiting assessments of environmental policies. Here, we develop a global model to simulate preindustrial riverine total mercury and assess human perturbations by comparing it to present-day conditions. We find that global rivers transported ~390 megagrams annually of mercury to the oceans in the preindustrial era, with spatial variability. Human activities have elevated riverine mercury budgets by two to three times in the present day. Establishing a baseline riverine mercury level, our findings reveal rapid responses of riverine mercury to human perturbations and could be used to inform targets for global riverine mercury restoration. Total riverine mercury concentrations could also be used as indicators to comprehensively understand the effectiveness of mercury pollution governance.
","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adw0471","usgsCitation":"Peng, D., Tan, Z., Yuan, T., Wu, P., Song, Z., Zhang, P., Huang, S., Zhang, Y., Lei, T., Middleton, B., Sonke, J., Lei, G., and Gao, J., 2025, Human perturbations to mercury in global rivers: Science Advances, v. 11, no. 24, eadw0471, 13 p., https://doi.org/10.1126/sciadv.adw0471.","productDescription":"eadw0471, 13 p.","ipdsId":"IP-162091","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":491449,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adw0471","text":"Publisher Index Page"},{"id":491027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"24","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Peng, Dong","contributorId":357103,"corporation":false,"usgs":false,"family":"Peng","given":"Dong","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":940738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tan, Zeli","contributorId":297281,"corporation":false,"usgs":false,"family":"Tan","given":"Zeli","email":"","affiliations":[{"id":28004,"text":"Pacific Northwest National Laboratory, Richland, WA, USA","active":true,"usgs":false}],"preferred":false,"id":940739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yuan, Tengfei","contributorId":357107,"corporation":false,"usgs":false,"family":"Yuan","given":"Tengfei","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":940740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Peipei","contributorId":357110,"corporation":false,"usgs":false,"family":"Wu","given":"Peipei","affiliations":[{"id":38724,"text":"Scripps Institution of Oceanography, University of California San Diego","active":true,"usgs":false}],"preferred":false,"id":940741,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Song, Zhengcheng","contributorId":357113,"corporation":false,"usgs":false,"family":"Song","given":"Zhengcheng","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":940742,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Peng","contributorId":357116,"corporation":false,"usgs":false,"family":"Zhang","given":"Peng","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":940743,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Shaojian","contributorId":357119,"corporation":false,"usgs":false,"family":"Huang","given":"Shaojian","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":940744,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhang, Yanxu","contributorId":357122,"corporation":false,"usgs":false,"family":"Zhang","given":"Yanxu","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":940745,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lei, Ting","contributorId":245022,"corporation":false,"usgs":false,"family":"Lei","given":"Ting","affiliations":[{"id":40912,"text":"Beijing Forestry","active":true,"usgs":false}],"preferred":false,"id":940746,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":206684,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":940747,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sonke, Jeroen E.","contributorId":357124,"corporation":false,"usgs":false,"family":"Sonke","given":"Jeroen E.","affiliations":[{"id":85336,"text":"Géosciences Environnement Toulouse, CNRS/IRD/Université de Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":940748,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lei, Guangchun","contributorId":259278,"corporation":false,"usgs":false,"family":"Lei","given":"Guangchun","email":"","affiliations":[],"preferred":false,"id":940749,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gao, Jianhua","contributorId":357125,"corporation":false,"usgs":false,"family":"Gao","given":"Jianhua","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":940750,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70268294,"text":"70268294 - 2025 - Population growth of threatened Gulf Sturgeon may be limited by the frequency of adult episodic mortality events","interactions":[],"lastModifiedDate":"2025-06-20T14:47:48.754686","indexId":"70268294","displayToPublicDate":"2025-06-11T09:42:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20748,"text":"Marine and Coastal Fisheries: Dynamics, Management and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Population growth of threatened Gulf Sturgeon may be limited by the frequency of adult episodic mortality events","docAbstract":"We identified spatial and temporal variation in population trends for Gulf Sturgeon Acipenser desotoi (previously known as Acipenser oxyrinchus desotoi) across the species’ range to inform recovery strategies. We also assessed whether adult survival or recruitment more strongly influences population change.
We analyzed adult Gulf Sturgeon capture–recapture data from 1990 to 2022 across seven Gulf of Mexico river systems. Using temporal symmetry models and fixed estimates of adult survival from a companion study, we estimated seniority probability (γi + 1), capture probability (p), recruitment (f), and population growth rate (λ) for adult fish. Models were compared using Akaike information criterion adjusted for small sample sizes, and parameter estimates were derived at both river-specific and rangewide scales.
Adult survival (φ) was the primary driver of λ across the species’ range, with γ consistently >0.5 in most rivers and time periods. While rangewide λ suggested stable or slightly increasing adult populations, river-level trends varied. Recent declines in λ and f were observed in the Escambia, Apalachicola, and Suwannee rivers—systems affected by red tide, hurricanes, or oil exposure following the Deepwater Horizon spill. Capture probabilities remained low across rivers and time periods.
Long-term recovery of Gulf Sturgeon is likely more sensitive to adult survival than recruitment to the adult population. Population trajectories differ across rivers and may reflect both demographic changes and inconsistencies in monitoring. Restoring consistent, standardized adult monitoring in select rivers will improve the ability to detect meaningful trends and guide conservation efforts focused on minimizing adult mortality.
Most previous research has used an individual water quality parameter, such as calcium, to predict likelihood of zebra mussel establishment in lakes; we employed two multiple-factor methods, our own susceptibility index for zebra mussels in lakes (SIZL) and aragonite saturation state, to evaluate the risk of mussel establishment. Thirty sites in Voyageurs National Park (VNP) were sampled in 2023 for water quality conditions, including those that play a key role in mussel survivability. These results were combined with existing data sets to determine which lakes, and which locations within the larger lakes, are at greatest risk for zebra mussel establishment. Results for VNP indicate that physical lake characteristics and water quality conditions (both single- and multiple-factor methods) put the large, interconnected lakes in VNP at greater risk of zebra mussel establishment than the smaller interior lakes. All sampled interior lakes had alkalinity and calcium concentrations below thresholds conducive to zebra mussel establishment, although Mukooda and O’Leary lakes were identified as the most at-risk interior lakes. The area in the large lakes most at risk was Sullivan Bay in Kabetogama Lake, where water quality conditions were found to be conducive to zebra mussel establishment. Results from this study could be used by resource managers to focus additional inspections, decontaminations, and regulations to protect the most at-risk lakes. These multiple-factor methods may be useful in determining the risk of zebra mussel infestation in other water bodies.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2025.2488829","usgsCitation":"Christensen, V., Katona, L.R., Trompeter, H., Maki, R., Smith, J., and Sandborn, D., 2025, Water quality-based risk assessment for zebra mussel establishment: A case study of single- and multiple-factor methods in northern temperate lakes: Lake and Reservoir Management, v. 41, no. 2, p. 124-142, https://doi.org/10.1080/10402381.2025.2488829.","productDescription":"19 p.","startPage":"124","endPage":"142","ipdsId":"IP-167134","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":492828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.44469471404027,\n 48.25812750188285\n ],\n [\n -92.43814232688678,\n 48.30708718825505\n ],\n [\n -92.47445207574346,\n 48.377421556342625\n ],\n [\n -92.46304044038844,\n 48.41324094675181\n ],\n [\n -92.52009861716228,\n 48.4559157257907\n ],\n [\n -92.62902786373112,\n 48.4442181433015\n ],\n [\n -92.70890931121498,\n 48.4559157257907\n ],\n [\n -92.68504861910944,\n 48.49992951737704\n ],\n [\n -92.6321401279189,\n 48.50199172694181\n ],\n [\n -92.63628981350283,\n 48.538410262889045\n ],\n [\n -92.95374076064601,\n 48.61254059167456\n ],\n [\n -93.08134359234099,\n 48.62694220072322\n ],\n [\n -93.16952441099208,\n 48.62831356824623\n ],\n [\n -93.17367409657537,\n 48.578920857403915\n ],\n [\n -93.06267000721486,\n 48.45935567841727\n ],\n [\n -93.00872409462822,\n 48.42288032028864\n ],\n [\n -92.94544138947879,\n 48.40015601627843\n ],\n [\n -92.77841654473997,\n 48.40635456089478\n ],\n [\n -92.71409641819443,\n 48.387067719148206\n ],\n [\n -92.57300710835281,\n 48.324334982522885\n ],\n [\n -92.5055747176201,\n 48.284311171440095\n ],\n [\n -92.51076946771622,\n 48.257714102321444\n ],\n [\n -92.44469471404027,\n 48.25812750188285\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"41","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Christensen, Victoria 0000-0003-4166-7461","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":220548,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katona, Leon R. 0000-0001-5323-1871","orcid":"https://orcid.org/0000-0001-5323-1871","contributorId":331458,"corporation":false,"usgs":true,"family":"Katona","given":"Leon","email":"","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trompeter, Hailey Elizabeth 0009-0007-6855-5642","orcid":"https://orcid.org/0009-0007-6855-5642","contributorId":358493,"corporation":false,"usgs":true,"family":"Trompeter","given":"Hailey Elizabeth","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maki, Ryan P.","contributorId":190131,"corporation":false,"usgs":false,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":943856,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, James C.","contributorId":351486,"corporation":false,"usgs":false,"family":"Smith","given":"James C.","affiliations":[{"id":82351,"text":"U.S. National Park Service (NPS)","active":true,"usgs":false}],"preferred":false,"id":943857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sandborn, Daniel E.","contributorId":358495,"corporation":false,"usgs":false,"family":"Sandborn","given":"Daniel E.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":943858,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275055,"text":"70275055 - 2025 - Assessing the combined influence of biotic and anthropogenic stressors on polar bears to inform conservation planning","interactions":[],"lastModifiedDate":"2026-04-13T14:22:44.619452","indexId":"70275055","displayToPublicDate":"2025-06-11T09:14:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the combined influence of biotic and anthropogenic stressors on polar bears to inform conservation planning","docAbstract":"Developing conservation strategies for species vulnerable to the effects of climate change, like polar bears (Ursus maritimus), can be challenging given the uncertainty of future environmental conditions. Effective conservation planning requires identifying and ranking threats to the persistence of polar bears throughout their circumpolar range and then assessing the ability of mitigative actions to aid in meeting plan objectives. We used a Bayesian network model to (1) characterize the relative importance of multiple biotic and anthropogenic stressors on four ecoregional polar bear populations, at two future decadal time periods, and based on two Intergovernmental Panel on Climate Change (IPCC) greenhouse gas emissions scenarios (Shared Socioeconomic Pathways [SSPs] 2.6 [low] and 8.5 [high]); and (2) identify achievable management actions that may enhance the prospects of long-term persistence. Normative model runs indicated that populations in all four ecoregions incurred increasing probabilities of being decreased or greatly decreased over time. The probabilities of polar bear populations being decreased or greatly decreased from mid- to end of the century ranged from ~55% to 87% for the SSP 2.6 emissions scenario, and 82% to 94% for the SSP 8.5 emissions scenario among ecoregions. Arctic sea ice conditions and marine prey availability had the greatest influences on future polar bear population outcomes and overrode any relative influence from all other stressors. Hunting mortality was the most influential individual anthropogenic stressor in the Archipelago and Seasonal Ice Ecoregions, whereas terrestrial refugia quality grouped with various anthropogenic activities or factors (e.g., resource extraction, oil spill) was most influential for the Polar Basin Divergent Ice and Polar Basin Convergent Ice ecoregions. Our findings indicate that near-term proactive management of multiple anthropogenic stressors could cumulatively reduce the decline in populations such that if future sea ice habitat loss is eventually curtailed, population abundance would be greater than it would have been otherwise. Additionally, our findings suggest that there is value in tailoring management actions to address ecoregion-specific threats, which may prove useful in informing the development of future circumpolar conservation plans.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70316","usgsCitation":"Atwood, T.C., Marcot, B.G., Douglas, D., Bromaghin, J.F., and Pagano, A.M., 2025, Assessing the combined influence of biotic and anthropogenic stressors on polar bears to inform conservation planning: Ecosphere, v. 16, no. 6, e70316, 18 p., https://doi.org/10.1002/ecs2.70316.","productDescription":"e70316, 18 p.","ipdsId":"IP-171776","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":502995,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70316","text":"Publisher Index Page"},{"id":502740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -179.9,\n 85\n ],\n [\n -179.9,\n 49.40470578748864\n ],\n [\n 179.9,\n 49.40470578748864\n ],\n [\n 179.9,\n 85\n ],\n [\n -179.9,\n 85\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":959320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcot, Bruce G.","contributorId":140456,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","email":"","middleInitial":"G.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":959321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":959322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":959323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":959324,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268116,"text":"70268116 - 2025 - High-pass corner frequency selection and review tool for use in ground-motion processing","interactions":[],"lastModifiedDate":"2025-09-09T14:38:21.181387","indexId":"70268116","displayToPublicDate":"2025-06-11T08:49:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"High-pass corner frequency selection and review tool for use in ground-motion processing","docAbstract":"Raw seismological waveform data contain noise from the instrument’s surroundings and the instrument itself that can dominate recordings at low and high frequencies. To use these data in ground‐motion modeling, the effects of noise on the signals must be reduced and the signals’ usable frequency range identified. We present automated procedures to efficiently reduce low‐frequency noise that are implemented in the software package gmprocess. These procedures check for, and as needed remove, low‐frequency artifacts in the displacement record using polynomial fits, which can be used in combination with existing signal‐to‐noise ratio (SNR)‐based corner‐frequency selection procedures. The automated selections are then efficiently verified and refined using a graphical user interface (GUI) that plots relevant ground‐motion time series and spectra and tracks modifications to signal processing parameters. We demonstrate these procedures using recordings from the 2020 M 5.1 Sparta, North Carolina, and the 2013 M 4.7 southern Ontario earthquakes. Data processed with the SNR‐only and polynomial criteria for these events contain displacement artifacts in 37% and 23% of processed traces, respectively. Records with remaining artifacts are corrected manually using the GUI. These processing steps illustrate the workflow for efficient data processing with quality control.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240265","usgsCitation":"Ramos-Sepulveda, M.E., Brandenberg, S.J., Buckreis, T.E., Parker, G.A., and Stewart, J., 2025, High-pass corner frequency selection and review tool for use in ground-motion processing: Seismological Research Letters, v. 96, no. 5, p. 3244-3252, https://doi.org/10.1785/0220240265.","productDescription":"9 p.","startPage":"3244","endPage":"3252","ipdsId":"IP-163865","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":490720,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramos-Sepulveda, Maria E.","contributorId":294748,"corporation":false,"usgs":false,"family":"Ramos-Sepulveda","given":"Maria","email":"","middleInitial":"E.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":940267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandenberg, Scott J.","contributorId":303895,"corporation":false,"usgs":false,"family":"Brandenberg","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":940268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckreis, Tristan E","contributorId":295733,"corporation":false,"usgs":false,"family":"Buckreis","given":"Tristan","email":"","middleInitial":"E","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":940269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":940270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stewart, Jonathan P.","contributorId":350854,"corporation":false,"usgs":false,"family":"Stewart","given":"Jonathan P.","affiliations":[{"id":83855,"text":"University of California, Los Angeles, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":940271,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268102,"text":"70268102 - 2025 - Bioaccumulation and trophic transfer of selenium in a large oligotrophic river","interactions":[],"lastModifiedDate":"2025-11-19T14:19:13.03245","indexId":"70268102","displayToPublicDate":"2025-06-11T08:18:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Bioaccumulation and trophic transfer of selenium in a large oligotrophic river","docAbstract":"In flowing waters with elevated selenium concentrations, fish are often considered to be at risk from selenium toxicity owing to dietary exposure and accumulation in ovary tissues and subsequent deformities in developing larvae. We studied selenium throughout components of the aquatic food webs at geomorphically distinct locations along the oligotrophic Kootenai River (Montana and Idaho, USA), a river with moderately elevated dissolved selenium concentrations (~ 1 µg/L). Components included water, sediment, freshly accrued biofilms, in-situ periphyton, sestonic detritus, aquatic invertebrates, and fish, with spring and fall sampling. Selenium concentrations were similar among the sediment, biofilm, periphyton, and detritus samples with most concentrations ranging between 0.5 to 2.0 (mg/kg dry weight (dw)). Among the aquatic invertebrates, the highest selenium concentrations were observed in Paraleptophlebia sp. mayflies (>15 mg/kg dw) and oligochaetes (>30 mg/kg dw). Selenium in chironomids was higher in the spring than fall, but otherwise, no consistent concentration patterns with season or feeding traits were observed. Fish tissue selenium concentrations were highly variable among species and tissue type. Selenium in fish tissues tended to be highest in livers of rainbow trout and mountain whitefish relative to egg/ovary, muscle, and carcass tissue. With northern pikeminnow, redside shiner, and slimy sculpin, selenium concentrations tended to be highest in ovary tissues. For example, selenium in rainbow trout livers ranged from an average (range) of 37 (4.5 to 151) compared to 8.7 (2.7 to 12.3) in northern pikeminnow livers. Egg/ovary concentrations ranged from a high of 26 (10.7 to 64) in redside shiner in contrast to 12.2 (6.9 to 17) mg/kg dw in slimy sculpin. A drawback of the fish-tissue approach to monitoring and managing selenium risks in freshwaters is the need to kill multiple fish per site and event. Potential alternative monitoring approaches are illustrated using aquatic invertebrates or using the food web monitoring results to derive monitoring targets for selenium in water or invertebrate tissue that could avoid the need to kill fish to assess whether fish protection guidelines are met.","language":"English","publisher":"Oxford University Press","doi":"10.1093/etojnl/vgaf149","usgsCitation":"Mebane, C.A., Stewart, A.R., Murray, E., Short, T., Kocen, V., and Zinsser, L.M., 2025, Bioaccumulation and trophic transfer of selenium in a large oligotrophic river: Environmental Toxicology and Chemistry, v. 44, no. 10, p. 2864-2888, https://doi.org/10.1093/etojnl/vgaf149.","productDescription":"25 p.; Data Release","startPage":"2864","endPage":"2888","ipdsId":"IP-152806","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":490999,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgaf149","text":"Publisher Index Page"},{"id":490930,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XUP6GT","text":"USGS data release","linkHelpText":"Selenium in water, sediment, periphyton, benthic invertebrate and fish tissues from the Kootenai River, Idaho and Montana"},{"id":490711,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.60365905932548,\n 49.0066674443394\n ],\n [\n -116.60365905932548,\n 48.32358707536375\n ],\n [\n -115.03847921340105,\n 48.32358707536375\n ],\n [\n -115.03847921340105,\n 49.0066674443394\n ],\n [\n -116.60365905932548,\n 49.0066674443394\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, A. Robin 0000-0003-2918-546X arstewar@usgs.gov","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":1482,"corporation":false,"usgs":true,"family":"Stewart","given":"A.","email":"arstewar@usgs.gov","middleInitial":"Robin","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true}],"preferred":true,"id":940217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murray, Erin 0000-0002-5007-3449","orcid":"https://orcid.org/0000-0002-5007-3449","contributorId":205705,"corporation":false,"usgs":true,"family":"Murray","given":"Erin","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Short, Terry M. 0000-0001-9941-4593","orcid":"https://orcid.org/0000-0001-9941-4593","contributorId":292135,"corporation":false,"usgs":false,"family":"Short","given":"Terry M.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":940219,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kocen, Veronika A. 0009-0006-9144-8549","orcid":"https://orcid.org/0009-0006-9144-8549","contributorId":336552,"corporation":false,"usgs":true,"family":"Kocen","given":"Veronika A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true}],"preferred":true,"id":940220,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zinsser, Lauren M. 0000-0002-8582-066X","orcid":"https://orcid.org/0000-0002-8582-066X","contributorId":205756,"corporation":false,"usgs":true,"family":"Zinsser","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":940221,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70269937,"text":"70269937 - 2025 - Co-location of sheep grazing and solar energy production yields agrotechnological synergies","interactions":[],"lastModifiedDate":"2025-08-07T15:19:27.071437","indexId":"70269937","displayToPublicDate":"2025-06-11T08:10:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":679,"text":"Agricultural Systems","active":true,"publicationSubtype":{"id":10}},"title":"Co-location of sheep grazing and solar energy production yields agrotechnological synergies","docAbstract":"CONTEXT
Agrivoltaics—the co-location of solar energy and agricultural production—may reduce land-use competition and boost revenues for landowners. Sheep grazing in solar facilities (i.e., solar grazing/agrivoltaic grazing systems) is increasingly common in agricultural areas. Solar grazing can provide land access to flock owners and support agricultural viability via payments for vegetation management. However, there is a need for more data on how co-location of sheep grazing and solar energy production affects flock health, stocking rates, and feedback loops for maintenance of vegetation in solar facilities across regions.
OBJECTIVE
Our objective was to better understand synergies and tradeoffs associated with agrivoltaic grazing systems by investigating applied grazing management questions as well as questions regarding agrotechnological co-benefits related to simultaneous flock health and vegetation management in solar facilities.
METHODS
We tested effects of sheep stocking rates (0 to 10 sheep per ha–1), site preparation (fallow vs. legume seed-mix planting), and microclimate (panel-shaded areas vs. panel interspaces) on herbage yield and nutritional quality, flock health and condition, and a vegetation management success index. We collected these data across two grazing seasons in an operational, 21.85-ha photovoltaic solar facility (18 MW) established on a previous old field in New York State, USA.
RESULTS AND CONCLUSIONS
Shade from solar panels negatively affected herbage yield. We detected no significant differences in herbage yield or vegetation management outcomes between fallow and planted legume plots, suggesting that regrowth from native seed banks in solar facilities on previous old fields may be an economical alternative to seeding for sheep forage relative. Sheep stocking rates affected flock health and condition; we identified an optimal stocking rate of 8 sheep per ha–1 for achieving sufficient herbage yield and quality, maintaining flock health, and preventing vegetation overgrowth from shading solar panels at our study site. Solar grazing can yield an agrotechnological synergy supporting healthy forage, healthy sheep, and vegetation management in community-scale (i.e., <25 MW) solar facilities without mowing. In a well-managed solar grazing system, high herbage yield and quality promote high flock health and condition, and the healthy flock suppresses vegetation enough to prevent panel shading. SIGNIFICANCE Our study highlights the potential for sheep grazing in solar facilities to simultaneously benefit sheep and solar energy production systems. Solar grazing can present a “win-win” scenario for solar developers and sheep producers in the northeastern U.S.
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U.S. Geological Survey
Box 25046, Mail Stop 966
Denver, CO 80225
The purpose of this report is to provide the Marine Corps with an annual summary of the distribution, abundance, and breeding activity of the endangered Southwestern Willow Flycatcher (Empidonax traillii extimus; flycatcher) at Marine Corps Base Camp Pendleton (MCBCP or “Base”). Surveys for the flycatcher were conducted on Base between May 8 and July 24, 2024. All of MCBCP’s historically occupied riparian habitat (core survey area) was surveyed for flycatchers in 2024. None of the non-core survey areas were surveyed in 2024.
Three transient Willow Flycatchers of unknown subspecies were observed on two of the five drainages surveyed in 2024, the Santa Margarita River and San Mateo Creek. No Willow Flycatchers were detected at Fallbrook, Las Flores, or Pilgrim Creeks. Transients in 2024 occurred in riparian scrub habitat, dominated by mule fat (Baccharis salicifolia). Exotic vegetation, primarily poison hemlock (Conium maculatum), was present in all flycatcher locations. None of the transient flycatchers were banded.
In 2024, the resident Southwestern Willow Flycatcher population on Base consisted of one unpaired female occupying one territory in the Air Station breeding area along the Santa Margarita River. No territorial males were observed in 2024. The resident flycatcher territory was located in mixed willow riparian habitat, dominated by arroyo or red willow (Salix lasiolepis or S. laevigata). The female flycatcher was originally banded as a nestling in 2020 at MCBCP, making her 4 years old in 2024.
The resident female flycatcher returned to the same breeding area and territory she occupied in 2023. Nesting was initiated in late May and continued into early August. Three nesting attempts were documented; all were unsuccessful as a result of depredation and presumed infertile eggs. No instances of Brown-headed Cowbird (Molothrus ater) parasitism were observed. The flycatcher nests were placed in two native plants, sandbar willow (S. exigua) and stinging nettle (Urtica dioica).
Two measures were initiated in recent years to attract and retain breeding flycatchers on MCBCP: a conspecific attraction playback study (initiated in 2018) and an artificial seep study (initiated in 2019); both were repeated annually through 2024. The one resident flycatcher (female) detected in 2024 occupied a territory near an automated playback unit, and nested 5 meters from an artificial seep output.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251023","collaboration":"Prepared in cooperation with Assistant Chief of Staff, Environmental Security, Marine Corps Base Camp Pendleton","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Howell, S.L., and Kus, B.E., 2025, Distribution, abundance, and breeding activities of the Southwestern Willow Flycatcher at Marine Corps Base Camp Pendleton, California—2024 annual report: U.S. Geological Survey Open-File\nReport 2025–1023, 26 p., https://doi.org/10.3133/ofr20251023.","productDescription":"vi, 26 p.","onlineOnly":"Y","ipdsId":"IP-175198","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":490243,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1023/ofr20251023.XML"},{"id":490242,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1023/images"},{"id":490241,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251023/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1023"},{"id":490240,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1023/ofr20251023.pdf","text":"Report","size":"8.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1023"},{"id":490239,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1023/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Marine Corps Base Camp Pendleton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.58338003323524,\n 33.45345643512407\n ],\n [\n -117.60222726717006,\n 33.386233650795276\n ],\n [\n -117.48331835489097,\n 33.30585564997955\n ],\n [\n -117.39614054579035,\n 33.19810587550057\n ],\n [\n -117.26283920032485,\n 33.29512730850755\n ],\n [\n -117.24244991997723,\n 33.33051403790782\n ],\n [\n -117.23302630300994,\n 33.410559433022755\n ],\n [\n -117.4911309974352,\n 33.508615342567545\n ],\n [\n -117.58338003323524,\n 33.45345643512407\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Global change is expected to expand and shrink species' distributions in complex ways beyond just retraction at warm edges and expansion at cool ones. Detecting these changes is complicated by the need for robust baseline data for comparison. For instance, gaps in species' distributions may reflect long-standing patterns, recent shifts, or merely insufficient sampling effort. We investigated an apparent gap in the distribution of the American pika, Ochotona princeps, along the North American Sierra Nevada. Historical records from this region are sparse, with ~100 km separating previously documented pika-occupied sites. Surveys during 2014–2023 confirmed that the gap is currently unoccupied by pikas, and evidence of past occurrence indicates that the gap has expanded over time, likely due to contemporary global change. Sites lacking evidence of past pika occurrence were climatically and geographically more distant from sites with signs of recent (former) occurrence and currently occupied sites. Formerly and currently occupied sites were partially climatically distinct, suggesting either metapopulation-like dynamics or an extinction debt that may eventually result in further population losses at the edge of suitable climate space. The Feather River gap aligns with one of several “low points” in the otherwise continuous boreal-like conditions spanning the Cascade Range and Sierra Nevada and is coincident with discontinuities in ranges of other mammals. These results highlight the potential for climate-driven fragmentation and range retraction in regions considered climatically and geographically interior to a species' overall distribution.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70223","usgsCitation":"Beever, E.A., Smith, A., Wright, D.H., Rickman, T., Gerraty, F.D., Stewart, J., Gill, A.M., Klingler, K., and Robinson, M.M., 2025, Expanding barriers: Impassable gaps interior to distribution of an isolated mountain-dwelling species: Ecosphere, v. 16, no. 6, e70223, 19 p., https://doi.org/10.1002/ecs2.70223.","productDescription":"e70223, 19 p.","ipdsId":"IP-167945","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":491309,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13Y6GCE","text":"USGS data release","linkHelpText":"Ordinal-occurrence states of American pikas in the northern Sierra Nevada and southern Cascade Range from surveys during 2014-2019"},{"id":490992,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70223","text":"Publisher Index Page"},{"id":490917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"southern Cascade Range, northern Sierra Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.53062851604219,\n 41.27490624787072\n ],\n [\n -123.53062851604219,\n 38.356833712700904\n ],\n [\n -119.69929563366605,\n 38.356833712700904\n ],\n [\n -119.69929563366605,\n 41.27490624787072\n ],\n [\n -123.53062851604219,\n 41.27490624787072\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":940656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Adam B.","contributorId":328715,"corporation":false,"usgs":false,"family":"Smith","given":"Adam B.","affiliations":[{"id":38790,"text":"Missouri Botanical Garden","active":true,"usgs":false}],"preferred":false,"id":940657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, David H.","contributorId":328678,"corporation":false,"usgs":false,"family":"Wright","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":78452,"text":"CA Dept. of Fish & Wildlife HQ, Sacramento","active":true,"usgs":false}],"preferred":false,"id":940658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rickman, Tom","contributorId":174798,"corporation":false,"usgs":false,"family":"Rickman","given":"Tom","email":"","affiliations":[],"preferred":false,"id":940659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gerraty, Francis D.","contributorId":328697,"corporation":false,"usgs":false,"family":"Gerraty","given":"Francis","email":"","middleInitial":"D.","affiliations":[{"id":34029,"text":"U.C. Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":940660,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Joseph A.E.","contributorId":357063,"corporation":false,"usgs":false,"family":"Stewart","given":"Joseph A.E.","affiliations":[{"id":85319,"text":"Institute for the Study of Ecological and Evolutionary Climate Impacts, University of California-Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":940661,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gill, Alisha M.","contributorId":328679,"corporation":false,"usgs":false,"family":"Gill","given":"Alisha","email":"","middleInitial":"M.","affiliations":[{"id":78453,"text":"University of Guam Marine Laboratory","active":true,"usgs":false}],"preferred":false,"id":940662,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Klingler, Kelly","contributorId":150149,"corporation":false,"usgs":false,"family":"Klingler","given":"Kelly","affiliations":[{"id":17922,"text":"Program in Ecology, Evolution, and Conservation Biology, University of Nevada, Reno,","active":true,"usgs":false}],"preferred":false,"id":940663,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Robinson, Megan M.","contributorId":328709,"corporation":false,"usgs":false,"family":"Robinson","given":"Megan","email":"","middleInitial":"M.","affiliations":[{"id":27368,"text":"University of Zurich","active":true,"usgs":false}],"preferred":false,"id":940664,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70268875,"text":"70268875 - 2025 - Status and trends of forest bird populations at Hakalau Forest National Wildlife Refuge, 1987–2024","interactions":[],"lastModifiedDate":"2025-07-09T14:55:53.924747","indexId":"70268875","displayToPublicDate":"2025-06-10T09:48:25","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":6053,"text":"Hawaii Cooperative Studies Unit Technical Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"HCSU-117","title":"Status and trends of forest bird populations at Hakalau Forest National Wildlife Refuge, 1987–2024","docAbstract":"Since 1985, the Hakalau Forest Unit of the Big Island National Wildlife Refuge Complex (hereafter, Hakalau) has protected the largest endemic forest bird diversity in the State of Hawaii. This includes three endangered and one threatened species and their habitats. Hakalau’s vast area (155 km2), mostly high elevation (>1500 m) montane forest, provides refuge from avian malaria (Plasmodium relictum) vectored by introduced southern house mosquitoes (Culex quinquefasciatus). However, increases in the seasonal temperatures optimal for disease carrying mosquitoes associated with climate change have coincided with recent downward trends of native species in the closed forest area of the refuge (1450–1750 m), where disease is most likely to occur. Therefore, to inform refuge management with the most updated information on these populations and their trends, we analyzed forest bird survey data collected using point transect distance sampling with new survey data from 2021–2024. We stratified our analysis across management units, including the open forest and pasture since 1987, and the closed forest since 1999, and across four elevation ranges (<1500, 1500–1700, 1700–1900, and >1900 m) since 1999. We used distance sampling to estimate species- and strata-specific abundances and applied log-linear regression to detect trends across the timeseries. We found a continuation of previous trends, wherein most native forest birds declined in the closed forest strata (mostly below 1700 m) and increased in the highest elevation and pasture strata. Patterns were highly species-specific for the three lower elevations and open forest strata. ‘Apapane (Himatione sanguinea) and warbling white-eye (Zosterops japonicus), the most abundant native and introduced bird species, respectively, increased in nearly all strata. ‘I‘iwi (Drepanis coccinea) and Hawai‘i ‘amakihi (Chlorodrepanis virens virens), also common, decreased in closed forest, were stable in open forest, and increased in pasture. Both species were generally stable or increasing across all elevation bands, except Hawaiʻi ʻamakihi decreased in the below 1500 m and the 1500–1700 m elevation bands. All three of the federally endangered forest bird species declined in closed forest. Hawai‘i ‘ākepa (Loxops coccineus) also declined in the open forest and 1700–1900 m band and was the only species to decline overall. ‘Akiapōlā‘au (Hemignathus wilsoni) declined in closed forest but increased overall. ‘Alawī (Loxops mana, also known as Hawai‘i creeper) also decreased in the closed forest, but was stable to increasing in most strata and remained stable overall. Hawaiʻi ʻelepaio (Chasiempis sandwichensis) declined in closed forest, was stable in open forest and most elevation strata, and increased in pasture. ʻŌmaʻo (Myadestes obscurus) was stable in open and closed forest and at middle elevations and increased in the pasture. Introduced red-billedleiothrix (Leiothrix lutea) declined in closed forest, was stable in the open forest and at most elevations, and increased in the pasture. Coinciding with these changes, seasonal conditions for vector occurrence have continued to lengthen in the lower elevation strata through 2024, while Hakalau’s outplanting efforts continued to increase forest cover in the pasture, suggesting that disease-free habitat may have decreased in the closed forest and increased in the pasture. The declines in the closed forest and mixture of trends in the open forest and middle elevations bands suggest emigration into the higher elevation strata from lower elevation strata, and that possible threats have suppressed forest birds even at elevations >1500 m.
","largerWorkTitle":"Hawai‘i Cooperative Studies Unit Technical Report Series","language":"English","publisher":"University of Hawai'i at Hilo","usgsCitation":"Hunt, N., Kendall, S., Bak, T., and Camp, R.J., 2025, Status and trends of forest bird populations at Hakalau Forest National Wildlife Refuge, 1987–2024: Hawaii Cooperative Studies Unit Technical Report HCSU-117, iii, 159 p.","productDescription":"iii, 159 p.","ipdsId":"IP-179408","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":491896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":491886,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"http://hdl.handle.net/10790/5400"}],"country":"United States","state":"Hawaii","otherGeospatial":"Hakalau Forest National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.36090692408706,\n 19.96645706445993\n ],\n [\n -155.36090692408706,\n 19.740582700116107\n ],\n [\n -155.19266790064404,\n 19.740582700116107\n ],\n [\n -155.19266790064404,\n 19.96645706445993\n ],\n [\n -155.36090692408706,\n 19.96645706445993\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2025-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Hunt, Noah","contributorId":355564,"corporation":false,"usgs":false,"family":"Hunt","given":"Noah","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":942459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, Steve","contributorId":213517,"corporation":false,"usgs":false,"family":"Kendall","given":"Steve","affiliations":[],"preferred":false,"id":942461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bak, Trevor","contributorId":292157,"corporation":false,"usgs":false,"family":"Bak","given":"Trevor","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":942460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":942462,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268010,"text":"70268010 - 2025 - Application of mercury stable isotopes to examine sources and hydrologic factors impacting mercury bioaccumulation and cycling in invertebrates of a model saline lake","interactions":[],"lastModifiedDate":"2025-06-11T14:29:59.204913","indexId":"70268010","displayToPublicDate":"2025-06-10T09:24:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Application of mercury stable isotopes to examine sources and hydrologic factors impacting mercury bioaccumulation and cycling in invertebrates of a model saline lake","docAbstract":"Invertebrates, such as brine shrimp and brine flies, are key prey items for millions of resident and migratory birds that utilize saline lakes such as Great Salt Lake (GSL). Elevated methylmercury (MeHg) in invertebrate and waterfowl species of GSL has been assumed to be linked to elevated MeHg in GSL’s anoxic Deep Brine Layer (DBL) where aqueous concentrations can exceed 30 ng/L. Here, we leverage mercury (Hg) concentration and stable isotope measurements on brine flies (Ephydra hians and Ephydra cinerea), brine shrimp (Artemia franciscana), and spider (western spotted orbweaver [Neoscona oaxacensis]) to examine temporal changes in Hg concentrations and sources during periods of DBL presence and absence. Mercury concentrations in brine flies were inversely correlated with lake level and directly correlated with salinity, possibly resulting from factors such as enhanced Hg bioaccumulation due to osmoregulatory stress and stunted growth and/or elevated salinities impacting composition, abundance, and Hg concentrations of food sources. DBL presence did not correspond to higher invertebrate Hg concentrations, highlighting that the DBL is not the primary source of MeHg to biota. Hg stable isotope signatures (Δ199Hg and δ202Hg) in brine shrimp varied seasonally and indicated greater cumulative photochemical Hg loss from the water column in late summer and fall months. Co-located brine fly and western spotted orbweaver samples show equivalent Δ199Hg and δ202Hg signatures, supporting Hg transfer from the aquatic to terrestrial food webs. Furthermore, Hg isotope results (Δ200Hg) indicate that the majority of Hg accumulating in GSL invertebrates is of atmospheric origin. This study highlights temporal controls on Hg bioaccumulation within GSL, which will help assess Hg cycling within the system in response to management actions and declining lake levels.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2025.123946","usgsCitation":"Lopez, S.F., Janssen, S., Tate, M., Black, F., Mcilwain, H.E., Flucke, L.E., Ogorek, J.M., and Johnson, W.P., 2025, Application of mercury stable isotopes to examine sources and hydrologic factors impacting mercury bioaccumulation and cycling in invertebrates of a model saline lake: Water Research, v. 284, 123946, 11 p., https://doi.org/10.1016/j.watres.2025.123946.","productDescription":"123946, 11 p.","ipdsId":"IP-170249","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":490638,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2025.123946","text":"Publisher Index Page"},{"id":490369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.05436301553972,\n 41.691198839643846\n ],\n [\n -113.05436301553972,\n 40.60652820274288\n ],\n [\n -111.83210764656587,\n 40.60652820274288\n ],\n [\n -111.83210764656587,\n 41.691198839643846\n ],\n [\n -113.05436301553972,\n 41.691198839643846\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"284","noUsgsAuthors":false,"publicationDate":"2025-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Lopez, Samuel Francisco 0000-0002-3544-7465","orcid":"https://orcid.org/0000-0002-3544-7465","contributorId":344607,"corporation":false,"usgs":true,"family":"Lopez","given":"Samuel","email":"","middleInitial":"Francisco","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Black, Frank J.","contributorId":356762,"corporation":false,"usgs":false,"family":"Black","given":"Frank J.","affiliations":[{"id":85208,"text":"Westminster University","active":true,"usgs":false}],"preferred":false,"id":939964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mcilwain, Hannah Erin 0000-0002-8016-785X","orcid":"https://orcid.org/0000-0002-8016-785X","contributorId":296905,"corporation":false,"usgs":true,"family":"Mcilwain","given":"Hannah","email":"","middleInitial":"Erin","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flucke, Laura Elizabeth 0009-0002-7335-6828","orcid":"https://orcid.org/0009-0002-7335-6828","contributorId":304726,"corporation":false,"usgs":true,"family":"Flucke","given":"Laura","email":"","middleInitial":"Elizabeth","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939966,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939967,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, William P.","contributorId":107288,"corporation":false,"usgs":false,"family":"Johnson","given":"William","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":939968,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70269301,"text":"70269301 - 2025 - Challenges and priorities for climate-informed invasive species management across multiple scales","interactions":[],"lastModifiedDate":"2025-07-18T14:26:41.860356","indexId":"70269301","displayToPublicDate":"2025-06-10T09:22:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Challenges and priorities for climate-informed invasive species management across multiple scales","docAbstract":"In recent decades, substantial evidence has accumulated regarding the effects of climate change on the establishment, spread, and impact of invasive species. While the importance of incorporating climate change into invasive species management and policy is increasingly recognized, practitioner experiences and perspectives are often overlooked. Consequently, invasive species research may be misaligned with the needs of managers and the threats of climate change. Here, we compare survey responses from a boundary-spanning organization, the Regional Invasive Species and Climate Change (RISCC) Management Network, to identify common priorities and challenges in managing invasive species in a changing climate in the United States. Survey respondents reported that 22% of management and research time is dedicated to emerging invasive species threats. Common barriers to climate-informed invasive species management include limited time, funding, and personnel. Understanding how climate change may impact control strategies was consistently identified as a high priority for invasive species management, followed by identifying resilient ecosystems and range-shifting taxa. These results demonstrate the critical need for stronger researcher-practitioner networks and greater investment in research and policy topics that more closely align with management needs to address the interacting stressors of invasive species and climate change.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.70074","usgsCitation":"Evans, A., Brewington, L., Brown-Lima, C., Fusco, E., Gregg, R., Lieurance, D., Parsons, E.W., Nagy, R., Thurman, L., and Morelli, T.L., 2025, Challenges and priorities for climate-informed invasive species management across multiple scales: Conservation Science and Practice, v. 7, no. 7, e70074, 16 p., https://doi.org/10.1111/csp2.70074.","productDescription":"e70074, 16 p.","ipdsId":"IP-159569","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":49226,"text":"Northwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":492862,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.70074","text":"Publisher Index Page"},{"id":492534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, A.E.","contributorId":358275,"corporation":false,"usgs":false,"family":"Evans","given":"A.E.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":943403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewington, L.","contributorId":358277,"corporation":false,"usgs":false,"family":"Brewington","given":"L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":943404,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown-Lima, Carrie Jean 0000-0003-0570-2637","orcid":"https://orcid.org/0000-0003-0570-2637","contributorId":355426,"corporation":false,"usgs":true,"family":"Brown-Lima","given":"Carrie Jean","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":943405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fusco, E.","contributorId":358279,"corporation":false,"usgs":false,"family":"Fusco","given":"E.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":943406,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gregg, R.M.","contributorId":358281,"corporation":false,"usgs":false,"family":"Gregg","given":"R.M.","affiliations":[{"id":65726,"text":"Environmental Science Associates","active":true,"usgs":false}],"preferred":false,"id":943407,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lieurance, D.","contributorId":358283,"corporation":false,"usgs":false,"family":"Lieurance","given":"D.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":943408,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parsons, Elliott W.","contributorId":330758,"corporation":false,"usgs":false,"family":"Parsons","given":"Elliott","email":"","middleInitial":"W.","affiliations":[{"id":79002,"text":"University of Hawai‘i at \nMānoa","active":true,"usgs":false}],"preferred":false,"id":943512,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nagy, R.C.","contributorId":358285,"corporation":false,"usgs":false,"family":"Nagy","given":"R.C.","affiliations":[{"id":85595,"text":"Old Town High School","active":true,"usgs":false}],"preferred":false,"id":943409,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thurman, Lindsey 0000-0003-3142-4909","orcid":"https://orcid.org/0000-0003-3142-4909","contributorId":269425,"corporation":false,"usgs":true,"family":"Thurman","given":"Lindsey","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":943513,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":943411,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70268915,"text":"70268915 - 2025 - Concentration dependency of PFOS bioaccumulation by freshwater benthic algae","interactions":[],"lastModifiedDate":"2025-08-18T15:12:23.462358","indexId":"70268915","displayToPublicDate":"2025-06-10T08:50:32","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":"Concentration dependency of PFOS bioaccumulation by freshwater benthic algae","docAbstract":"Although perfluorooctanesulfonic acid (PFOS) has been voluntarily phased out, it remains the most abundant and frequently detected PFAS compound in biota worldwide. A deeper understanding of how PFOS enters the aquatic food web at the energetic base is needed to better characterize and predict the general patterns of PFAS trophic transfer. Research on bioaccumulation by primary producers remains limited. Because diatoms (Bacillariophyta) are often dominant constituents of aquatic biofilms, we exposed freshwater benthic diatoms (Mayamaea atomus) to a range of PFOS concentrations (0.01–100 μg/L) for 7 days in a controlled laboratory experiment to investigate PFAS bioaccumulation patterns. We quantified PFOS in water and algal matrices using liquid chromatography-tandem mass spectrometry and calculated bioconcentration factors (BCFs). Log PFOS concentrations in diatoms increased linearly with log10 exposure concentration, corresponding to a sublinear relationship in arithmetic space. Consequently, BCF values decreased, from 4,831 to 174 L/kg, with increasing PFOS exposure, indicating concentration-dependent bioaccumulation consistent with higher-order organisms (e.g., Crustacea, Mollusca, Chordata). This pattern complicates the use of BCF for predictive purposes and may lead to mis-estimations of risk. Even as PFOS declines in the environment, algae will likely continue to accumulate and transfer PFOS and other PFAS to higher trophic levels.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsestwater.5c00048","usgsCitation":"Zachritz, A., Steevens, J.A., Miranda, D., Perrotta, B.G., Dorman, R.A., Whitehead, H., Pulster, E.L., Walters, D., Soucek, D.J., Peaslee, G., and Lamberti, G.A., 2025, Concentration dependency of PFOS bioaccumulation by freshwater benthic algae: ACS ES&T Water, v. 5, no. 8, p. 4415-4422, https://doi.org/10.1021/acsestwater.5c00048.","productDescription":"8 p.","startPage":"4415","endPage":"4422","ipdsId":"IP-174278","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":492007,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Zachritz, Alison M.","contributorId":357788,"corporation":false,"usgs":false,"family":"Zachritz","given":"Alison M.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":942573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":942574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miranda, Daniele A.","contributorId":357790,"corporation":false,"usgs":false,"family":"Miranda","given":"Daniele A.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":942575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perrotta, Brittany G. 0000-0003-2669-3047","orcid":"https://orcid.org/0000-0003-2669-3047","contributorId":301929,"corporation":false,"usgs":true,"family":"Perrotta","given":"Brittany","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":942576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dorman, Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":942577,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whitehead, Heather D.","contributorId":357792,"corporation":false,"usgs":false,"family":"Whitehead","given":"Heather D.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":942578,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pulster, Erin L. 0000-0003-4574-8613","orcid":"https://orcid.org/0000-0003-4574-8613","contributorId":300266,"corporation":false,"usgs":true,"family":"Pulster","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":942579,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205921,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":942580,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Soucek, David J. 0000-0002-7741-0193 drieckssoucek@usgs.gov","orcid":"https://orcid.org/0000-0002-7741-0193","contributorId":295408,"corporation":false,"usgs":true,"family":"Soucek","given":"David","email":"drieckssoucek@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":942581,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Peaslee, Graham F.","contributorId":357794,"corporation":false,"usgs":false,"family":"Peaslee","given":"Graham F.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":942582,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lamberti, Gary A.","contributorId":296154,"corporation":false,"usgs":false,"family":"Lamberti","given":"Gary","email":"","middleInitial":"A.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":942583,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ]}