Objective:
Sediment has an important role in aquatic ecosystems, however, excess sediment can negatively impact fish and other aquatic life. Quantifying the response of aquatic life, particularly fish, to suspended sediment is important for natural resource managers tasked with developing sediment management guidelines to protect aquatic ecosystems. Our goal was to assess the ability of established, revised, and alternate severity of ill effect (SEV) dose-response models to predict the impact of suspended sediment on fish.
Methods: We synthesized existing literature to develop an expansive dataset that relates suspended sediment concentration and exposure duration to biological effects on fishes and assessed the predictive ability of established and revised SEV dose-response models. We investigated potential sources of variation in biological responses to suspended sediment dose and explored two alternative approaches for assessing the effects of suspended sediment on fish: 90th quantile SEV dose-response regression models and logistic SEV dose-response models.
Results: We found that both established and revised linear SEV dose-response models poorly quantify fish biological response to suspended sediment. Quantile SEV dose-response regressions also performed poorly. More promising are logistic dose-response models that identify sediment thresholds where major effects of sediment on fish can be expected to occur. We demonstrate that fish biological response to suspended sediment is modulated by sediment particle size, water temperature, and dissolved oxygen levels, suggesting additional environmental and biological variables to consider when evaluating the effects of suspended sediment on fish.
Conclusion: We contribute revised and novel empirically derived tools for predicting the effects of suspended sediment on fish and demonstrate how environmental variables and life stage may modulate fish biological response. Our work illustrates challenges associated with predictive modeling and some potential sources of variation. While empirical models integrating biological stress response to suspended sediment may help natural resource managers capture potential impacts of this stressor, a cautious approach that considers co-acting stressors may be most effective for sediment management that is protective of fish.
","language":"English","publisher":"American Fisheries Society","doi":"10.1093/najfmt/vqaf051","usgsCitation":"Pilkerton, A.M., McCullough, S.M., Patterson, L.S., Rahel, F., Walters, A.W., 2025, Suspended sediment and fisheries: An exploration of empirical relationships: North American Journal of Fisheries Management, v. 45, no. 5, p. 753-766, https://doi.org/10.1093/najfmt/vqaf051.","productDescription":"14 p.","startPage":"753","endPage":"766","ipdsId":"IP-174503","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Pilkerton, Ashleigh M.","contributorId":366479,"corporation":false,"usgs":false,"family":"Pilkerton","given":"Ashleigh","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":955978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCullough, Sara M.","contributorId":366480,"corporation":false,"usgs":false,"family":"McCullough","given":"Sara","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":955979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, Lindsay S.","contributorId":366481,"corporation":false,"usgs":false,"family":"Patterson","given":"Lindsay","middleInitial":"S.","affiliations":[{"id":84900,"text":"Wyoming Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":955980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rahel, Frank J.","contributorId":337685,"corporation":false,"usgs":false,"family":"Rahel","given":"Frank J.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":955981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":955982,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70270851,"text":"70270851 - 2025 - Perceptions and management of chronic wasting disease in Washington State: A survey of cervid hunters","interactions":[],"lastModifiedDate":"2025-08-26T15:18:10.962517","indexId":"70270851","displayToPublicDate":"2025-08-26T10:16:45","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":22188,"text":"Cooperative Report","active":true,"publicationSubtype":{"id":2}},"title":"Perceptions and management of chronic wasting disease in Washington State: A survey of cervid hunters","docAbstract":"Chronic wasting disease (CWD) is a fatal neurological disease caused by a misfolded protein, or prion, and is found in cervids (e.g., deer, elk, moose). It represents a serious threat to cervid populations and is one of the most important ungulate management issues facing state wildlife management agencies. Issues associated with CWD can affect many groups including hunters, tribal groups, biologists, rehabilitators, and farmers among others, and many can play an essential role in CWD management (e.g., hunters can help with cervid population control methods). In 2021, the Washington Department of Fish and Wildlife (WDFW) adopted the CWD Management Plan for Washington State, which specifically called for incorporating human dimensions of disease management with the ecological and epidemiological elements in CWD management. It is essential to develop a strong human dimensions component as management actions in other states have shown that when the public is not appropriately engaged, the probability of success is diminished. The study presented here sought to understand public preferences and perceptions of CWD and CWD management. We conducted 15 key constituent interviews and deployed a survey instrument in summer of 2023. (CWD was detected in Washington in July 2024, but this survey was completed ahead of that detection). The survey was emailed to 165,700 resident hunters in Washington State who had purchased a big game license since 2015 and the results presented below are based on interviews and completed survey responses from 7,403 individuals.
","language":"English","publisher":"Washington Department of Fish and Wildlife","usgsCitation":"Callahan, M., DeVivo, M., Kertson, B., Westacott, H., and Mcinturff, M.C., 2025, Perceptions and management of chronic wasting disease in Washington State: A survey of cervid hunters: Cooperative Report, 96 p.","productDescription":"96 p.","ipdsId":"IP-172939","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":494877,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://wdfw.wa.gov/publications/02576"},{"id":494899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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hyperspectral","interactions":[],"lastModifiedDate":"2025-09-10T15:04:42.257035","indexId":"70271368","displayToPublicDate":"2025-08-26T07:58:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5098,"text":"Remote Sensing Applications: Society and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring cyanobacteria temporal trends in a hypereutrophic lake using remote sensing: From multispectral to hyperspectral","docAbstract":"Cyanobacterial harmful algal blooms (cyanoHABs) and associated cyanotoxins are a concern for inland waters. Due to the extensive spatial coverage and frequent availability of satellite images, multispectral remote sensing tools demonstrate utility for monitoring these blooms. The next frontier for remote sensing of cyanoHABs in inland waters is hyperspectral data. Recent and upcoming hyperspectral satellite missions using narrow wavelength imaging spectrometers could have a major impact on advancing our ability to detect, quantify, and characterize cyanobacterial blooms. This study compares multispectral and hyperspectral remote sensing capabilities and processing tools for monitoring cyanoHAB dynamics. We evaluated the temporal trends of cyanoHABs in Clear Lake, California, a hypereutrophic lake with diverse cyanobacteria genera based on 38 sampling events over a five-year monitoring period (2019–2023). We validated the Sentinel-3 Ocean and Land Color Instrument (multispectral) Cyanobacteria Index algorithm for Clear Lake using in situ cyanobacteria measurements, which complemented our field-based evaluation of cyanobacteria trends in Clear Lake. We then demonstrate the advantages of hyperspectral data from both in situ spectroradiometer measurements and full-lake hyperspectral satellite images. We apply the Spectral Mixture Analysis for Surveillance of HABs (SMASH) workflow, a Multiple Endmember Spectral Mixture Analysis (MESMA) algorithm, to the hyperspectral images to assess the potential of satellite imaging spectrometer data to identify cyanobacteria genera – the first study to test this tool outside its original study sites. We developed a Clear Lake-specific cyanobacteria spectral library using our field spectroradiometer measurements to improve SMASH performance in Clear Lake, which supports the continued development of this tool.
","language":"English","publisher":"Elseiver","doi":"10.1016/j.rsase.2025.101704","usgsCitation":"Sharp, S.L., Cortes, A., Forrest, A.L., Legleiter, C.J., Guild, L.S., Jin, Y., and Schladow, S.G., 2025, Monitoring cyanobacteria temporal trends in a hypereutrophic lake using remote sensing: From multispectral to hyperspectral: Remote Sensing Applications: Society and Environment, v. 39, 101704, 17 p., https://doi.org/10.1016/j.rsase.2025.101704.","productDescription":"101704, 17 p.","ipdsId":"IP-174209","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":500065,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/5t83t0rw","text":"External Repository"},{"id":495280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Clear Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.96267888555795,\n 39.16571325270124\n ],\n [\n -122.96267888555795,\n 38.914533541208556\n ],\n [\n -122.60070817606311,\n 38.914533541208556\n ],\n [\n -122.60070817606311,\n 39.16571325270124\n ],\n [\n -122.96267888555795,\n 39.16571325270124\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"39","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sharp, Samantha L.","contributorId":361094,"corporation":false,"usgs":false,"family":"Sharp","given":"Samantha","middleInitial":"L.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":948227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cortes, Alicia","contributorId":293333,"corporation":false,"usgs":false,"family":"Cortes","given":"Alicia","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":true,"id":948228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forrest, Alexander L.","contributorId":361096,"corporation":false,"usgs":false,"family":"Forrest","given":"Alexander","middleInitial":"L.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":948229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":948230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guild, Liane S.","contributorId":361098,"corporation":false,"usgs":false,"family":"Guild","given":"Liane","middleInitial":"S.","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":948231,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jin, Yufang","contributorId":361101,"corporation":false,"usgs":false,"family":"Jin","given":"Yufang","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":948232,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schladow, S. 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As part of this work, the workflow for hydrothermal resource favorability maps is being modified to integrate modern data-driven machine learning (ML) methods. Improvements include: [1] using new and refined evidence layers (features); [2] using an order of magnitude more training sites (labeled examples); [3] utilizing simple but non-linear supervised ML algorithms; [4] representing positive training sites (wells with measured heat flow) with their ordinal value proportional to the magnitude of convective upflow (i.e., low, high, or very high convective signals instead of past strategies using positive-negative labels); [5] supplementing training sites with additional sites with low convective signals to represent diverse under-sampled areas where hydrothermal systems are unlikely to exist; [6] comparing with competing approaches; and [7] utilizing Monte Carlo cross-validation to estimate and evaluate prediction uncertainty.
For the new favorability map, over half of the power-producing systems (i.e., 15 of 28) are predicted in the 99th percentile of most favorable locations (i.e., the highest 1 % of favorability, corresponding to 1 % of the map area), exceeding the performance of past models that have explicitly used power plants as training sites. Previous favorability maps predicted approximately half of the power-producing hydrothermal systems above the 80th percentile (i.e., 20 % of the map area). For the new favorability map, 93 % of power-producing systems (i.e., 26 of 28) are above the 80th percentile. The power-producing systems for which the new model does not perform well are either comparatively small, low-temperature systems or systems also not predicted well by prior modeling approaches, suggesting that these few systems are unusual when compared with most power-producing systems. Focusing research on these known, seemingly different systems may yield new insights and subsequent discovery of new prospects.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2025.103450","usgsCitation":"Mordensky, S.P., Burns, E., Lipor, J., and DeAngelo, J., 2025, Favorability mapping for hydrothermal power resource assessments of the Great Basin, USA: Geothermics, v. 133, 103450, 24 p., https://doi.org/10.1016/j.geothermics.2025.103450.","productDescription":"103450, 24 p.","ipdsId":"IP-170174","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":495066,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geothermics.2025.103450","text":"Publisher Index Page"},{"id":494947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Nevada, Oregon, Utah","otherGeospatial":"Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.0202610934917,\n 42.55970962212865\n ],\n [\n -119.8746500530377,\n 37.88790476539039\n ],\n [\n -116.94256843416173,\n 36.91537025154052\n ],\n [\n -113.73824592248651,\n 36.98857095813982\n ],\n [\n -111.99293303262,\n 42.55970962212865\n ],\n [\n -115.98687680320434,\n 42.23211305382921\n ],\n [\n -118.48297767228134,\n 42.58841357223409\n ],\n [\n -121.0202610934917,\n 42.55970962212865\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"133","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mordensky, Stanley Paul 0000-0001-8607-303X","orcid":"https://orcid.org/0000-0001-8607-303X","contributorId":292014,"corporation":false,"usgs":true,"family":"Mordensky","given":"Stanley","email":"","middleInitial":"Paul","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":947427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":225412,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":947428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lipor, John 0000-0002-0990-5493","orcid":"https://orcid.org/0000-0002-0990-5493","contributorId":292015,"corporation":false,"usgs":false,"family":"Lipor","given":"John","email":"","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":947429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeAngelo, Jacob 0000-0002-7348-7839 jdeangelo@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-7839","contributorId":237879,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":947430,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70271243,"text":"70271243 - 2025 - Ten lessons for controlling invasive species: Wisdom from the long-standing sea lamprey control program on the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2025-12-01T16:28:51.193336","indexId":"70271243","displayToPublicDate":"2025-08-26T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Ten lessons for controlling invasive species: Wisdom from the long-standing sea lamprey control program on the Laurentian Great Lakes","docAbstract":"Sea lamprey (Petromyzon marinus) control in the Laurentian Great Lakes of North America is among the largest and most successful control programs of an invasive species anywhere on the planet. The effort began more than 75 years ago; it unites multiple nations, states, and provinces with the common goal of controlling this invasive species and protecting a valuable fishery. The science-based control program is administered by the Great Lakes Fishery Commission (GLFC), a body arising from a treaty signed by the United States and Canada. In the present article, we share 10 lessons learned from decades of successful sea lamprey control with the hopes of informing ongoing and future control programs targeting biological invasions. The 10 lessons we identified are to act boldly in times of crisis, to maintain the social license, to invest in capacity building, to break down the silos, to support fundamental science, to diversify your portfolio of control measures, to strive for continuous improvement, to confront the trade-off between information and action, to keep your foot on the gas, and to keep your eyes on the prize. The GLFC has long fostered a framework that uses some military strategy and verbiage that extends across the lessons (e.g., know your enemy). Other lessons are more nascent as the GLFC reenvisions its relationship with Indigenous peoples and governments in a path to reconciliation where two-eyed seeing is being embraced. Through adaptive management, horizon scanning methods, and embracing implementation science, the lessons learned about sea lamprey control will continue to evolve, which is itself a lesson. We submit that the lessons shared in the present article will help guide invasive species control programs spanning taxa, ecosystems, and regions.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biaf133","usgsCitation":"Cooke, S.J., Baker, C., Mida Hinderer, J.L., Siefkes, M., Barber, J., Steeves, T., Docker, M.F., Li, W., Wilkie, M., Jones, M.L., Robinson, K.F., Dunlop, E.S., Brant, C., Johnson, N.S., Mattes, W., Gaden, M., and Muir, A., 2025, Ten lessons for controlling invasive species: Wisdom from the long-standing sea lamprey control program on the Laurentian Great Lakes: BioScience, v. 75, no. 11, p. 985-996, https://doi.org/10.1093/biosci/biaf133.","productDescription":"12 p.","startPage":"985","endPage":"996","ipdsId":"IP-167789","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":495181,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biaf133","text":"Publisher Index 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S.","contributorId":146961,"corporation":false,"usgs":false,"family":"Dunlop","given":"Erin","email":"","middleInitial":"S.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":947781,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Brant, Cory 0000-0002-0919-1566","orcid":"https://orcid.org/0000-0002-0919-1566","contributorId":223422,"corporation":false,"usgs":true,"family":"Brant","given":"Cory","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":947782,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":947783,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mattes, William","contributorId":306053,"corporation":false,"usgs":false,"family":"Mattes","given":"William","email":"","affiliations":[{"id":16233,"text":"Great Lakes Indian Fish and Wildlife Commission","active":true,"usgs":false}],"preferred":false,"id":947927,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Gaden, Marc","contributorId":346957,"corporation":false,"usgs":false,"family":"Gaden","given":"Marc","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":947784,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Muir, Andrew M.","contributorId":103933,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew M.","affiliations":[],"preferred":false,"id":947785,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70270258,"text":"ofr20251047 - 2025 - Methodology and technical input for the 2025 U.S. List of Critical Minerals—Assessing the potential effects of mineral commodity supply chain disruptions on the U.S. economy","interactions":[],"lastModifiedDate":"2026-02-03T15:14:35.071118","indexId":"ofr20251047","displayToPublicDate":"2025-08-25T10:58:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1047","displayTitle":"Methodology and Technical Input for the 2025 U.S. List of Critical Minerals—Assessing the Potential Effects of Mineral Commodity Supply Chain Disruptions on the U.S. Economy","title":"Methodology and technical input for the 2025 U.S. List of Critical Minerals—Assessing the potential effects of mineral commodity supply chain disruptions on the U.S. economy","docAbstract":"The Secretary of the Interior, acting through the Director of the U.S. Geological Survey, is tasked by section 7002 (“Mineral Security”) of title VII (“Critical Minerals”) of the Energy Act of 2020 (Public Law 116–260, December 27, 2020, 116th Congress) with reviewing and revising the methodology used to evaluate mineral commodity supply risk and the U.S. List of Critical Minerals (LCM) no less than every 3 years. Following two previous LCM assessments, this analysis represents the latest technical input for evaluating each mineral commodity’s supply risk and determining their recommended status on the LCM. We evaluated mineral commodity supply risk using two criteria: (1) an economic effects assessment that quantified the potential effects of various trade disruption scenarios on the U.S. economy, and (2) an examination of whether the mineral commodity’s U.S. supply chain relied on a sole domestic producer that represented a single point of failure. For the first criterion, postdisruption equilibrium quantities and prices for each mineral commodity were calculated based on their price elasticities of supply and demand and the availability of excess production capacity for each yearlong foreign trade disruption scenario. Subsequently, a nonlinear optimization routine was used with detailed economic input-output tables to estimate the potential economic effects on the U.S. economy of over 1,200 scenarios for 84 mineral commodities. After accounting for the probability of each scenario’s occurrence, the overall results are presented in terms of changes in U.S. gross domestic product (GDP) by individual industry and the economy overall. The results, which ranged from a net decrease in U.S. GDP of nearly $4.5 billion to a net increase of $33 million, largely reflect U.S. import dependency and world production concentration. Using the Jenks natural breaks optimization method, a statistical classification technique, we categorized the mineral commodities into several classes based on this overall risk quantification. Mineral commodities with annualized probability-weighted net decreases in U.S. GDP greater than $2 million were recommended for inclusion on the LCM. If a mineral commodity did not meet the threshold for inclusion on the LCM under the first criterion, its domestic supply chain was examined under the second criterion, which recommended a mineral commodity for inclusion on the LCM if there was only a single domestic producer. Ultimately, the two criteria resulted in the recommendation of the addition of six mineral commodities (in descending risk order, potash, silicon, copper, silver, rhenium, and lead) to and the removal of two mineral commodities (arsenic and tellurium) from the LCM. By using an economic effects assessment, the results of this analysis provide a prioritization that can also be compared directly against other risk analyses and the cost of various risk mitigation strategies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251047","usgsCitation":"Nassar, N.T., Pineault, D., Allen, S.M., McCaffrey, D.M., Padilla, A.J., Brainard, J.L., Bayani, M., Shojaeddini, E., Ryter, J.W., Lincoln, S., and Alonso, E., 2025, Methodology and technical input for the 2025 U.S. List of Critical Minerals—Assessing the potential effects of mineral commodity supply chain disruptions on the U.S. economy: U.S. Geological Survey Open-File Report 2025–1047, 32 p., https://doi.org/10.3133/ofr20251047.","productDescription":"Report: vi, 32 p.; Data Release","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-180772","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":499034,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118752.htm","linkFileType":{"id":5,"text":"html"}},{"id":494403,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14BRF29","text":"USGS data release","linkHelpText":"U.S. Geological Survey Minerals Yearbook data for select mineral commodities referenced in “U.S. Geological Survey Methodology and Technical Input for the 2025 U.S. List of Critical Minerals—Assessing the Potential Effects of Mineral Commodity Supply Chain Disruptions on the U.S. Economy”"},{"id":494015,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1047/images/"},{"id":494014,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1047/ofr20251047.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1047 XML"},{"id":494013,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251047/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1047 HTML"},{"id":494012,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1047/ofr20251047.pdf","text":"Report","size":"1.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1047 PDF"},{"id":494011,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1047/coverthb2.jpg"}],"contact":"Director, National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov
","tableOfContents":"To quantify the risks associated with potential disruptions and to recommend mineral commodities for inclusion on the updated U.S. List of Critical Minerals, as required by the Energy Act of 2020, the U.S. Geological Survey developed an economic model to estimate the potential effects of foreign trade disruptions of mineral commodities on the U.S. economy. The results of the study recommend the addition of six mineral commodities (in descending risk order, potash, silicon, copper, silver, rhenium, and lead) to and the removal of two mineral commodities (arsenic and tellurium) from the List of Critical Minerals. The analysis also provides a prioritization based on the results. The economic model has several advantages over previous assessments including the ability to directly compare the results against other economic risks and the costs of initiatives aimed at reducing the risks.
","publicationDate":"2025-08-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pineault, David 0009-0001-6801-4711","orcid":"https://orcid.org/0009-0001-6801-4711","contributorId":352217,"corporation":false,"usgs":true,"family":"Pineault","given":"David","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Sydney M. 0000-0001-6560-3548","orcid":"https://orcid.org/0000-0001-6560-3548","contributorId":359608,"corporation":false,"usgs":true,"family":"Allen","given":"Sydney","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCaffrey, Dalton M. 0000-0002-2539-4865","orcid":"https://orcid.org/0000-0002-2539-4865","contributorId":298840,"corporation":false,"usgs":true,"family":"McCaffrey","given":"Dalton","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945908,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Padilla, Abraham J. 0000-0002-8371-533X","orcid":"https://orcid.org/0000-0002-8371-533X","contributorId":290608,"corporation":false,"usgs":true,"family":"Padilla","given":"Abraham","email":"","middleInitial":"J.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945909,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brainard, Jamie L. 0000-0002-1712-0821","orcid":"https://orcid.org/0000-0002-1712-0821","contributorId":201465,"corporation":false,"usgs":true,"family":"Brainard","given":"Jamie","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945910,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bayani, Mani 0000-0003-4730-3140","orcid":"https://orcid.org/0000-0003-4730-3140","contributorId":359609,"corporation":false,"usgs":true,"family":"Bayani","given":"Mani","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945911,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shojaeddini, Ensieh 0000-0001-9584-6399","orcid":"https://orcid.org/0000-0001-9584-6399","contributorId":346849,"corporation":false,"usgs":true,"family":"Shojaeddini","given":"Ensieh","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945912,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ryter, John W. 0000-0002-0343-7553","orcid":"https://orcid.org/0000-0002-0343-7553","contributorId":345416,"corporation":false,"usgs":true,"family":"Ryter","given":"John","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945913,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lincoln, Sara 0000-0002-0162-3563","orcid":"https://orcid.org/0000-0002-0162-3563","contributorId":359610,"corporation":false,"usgs":false,"family":"Lincoln","given":"Sara","affiliations":[{"id":85881,"text":"Contractor to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":945914,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Alonso, Elisa 0000-0002-0090-8284","orcid":"https://orcid.org/0000-0002-0090-8284","contributorId":223015,"corporation":false,"usgs":true,"family":"Alonso","given":"Elisa","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":945915,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70269401,"text":"cir1560 - 2025 - U.S. Geological Survey science strategy to address white-nose syndrome and bat health in 2025–2029","interactions":[],"lastModifiedDate":"2026-02-03T15:13:59.882951","indexId":"cir1560","displayToPublicDate":"2025-08-25T09:50:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1560","displayTitle":"U.S. Geological Survey Science Strategy To Address White-Nose Syndrome and Bat Health in 2025–2029","title":"U.S. Geological Survey science strategy to address white-nose syndrome and bat health in 2025–2029","docAbstract":"Since its discovery in 2006, the fungal disease known as white-nose syndrome (WNS) has killed millions of bats. Of the 47 bat species native to the conterminous United States, Alaska, Hawaii, and Canada, 12 have been affected by WNS, including 3 endangered species and 1 proposed endangered species. WNS has also been detected in 40 States and 9 Canadian Provinces. U.S. Geological Survey (USGS) scientists have been critical in identifying the causal fungus for WNS (Pseudogymnoascus destructans [Pd]), characterizing the effects of WNS, and tracking the spread of Pd in many bat populations in North America.
The mission of the USGS WNS and Bat Health Science Team is to deliver integrated science in order to build resiliency into free-ranging bat populations through more effective WNS management, build capacity for bat health science, and enhance bat health information sharing across USGS science centers and cooperative research units as well as with stakeholders. The USGS can play an important role in supporting regional and national capacity building by providing resources and guidance to local, State, and Tribal management entities and by providing tools to enhance disease management. The USGS Ecosystems Mission Area’s Biological Threats and Invasive Species Research Program is the lead Federal program for free-ranging wildlife disease research and surveillance.
As of 2024, guided by the science priorities set by the WNS Steering Committee, USGS scientists are engaged in a nationwide response to WNS. This work is done in close coordination with our partners at the U.S. Fish and Wildlife Service, National Park Service, Bureau of Land Management, U.S. Forest Service of the U.S. Department of Agriculture, U.S. Department of Defense, as well as State and Tribal agencies. In addition to conducting WNS research, the USGS is mapping the spread of WNS and coordinating the North American Bat Monitoring Program (NABat) to understand how WNS and other stressors affect the status and trends of native bats across their range. The USGS is supporting the national WNS response through four science goals: (1) provide situational awareness on the health of bat populations; (2) conduct ecological studies of bats along the gradient of disease vulnerability; (3) contribute actionable science to enhance the resiliency of bat populations; and (4) implement an adaptive, holistic approach to bat health.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1560","programNote":"Biological Threats and Invasive Species Research Program","usgsCitation":"Hopkins, M.C., George, A.E., and McCaffery, R., 2025, U.S. Geological Survey science strategy to address white-nose syndrome and bat health in 2025–2029: U.S. Geological Survey Circular 1560, 23 p., https://doi.org/10.3133/cir1560.","productDescription":"iv, 23 p.","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-153985","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":494707,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://geonarrative.usgs.gov/whitenosesyndromeinnorthamericanbats/","text":"Geonarrative","linkHelpText":"- White-Nose Syndrome in North American bats"},{"id":492713,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1560/cir1560.XML","linkFileType":{"id":8,"text":"xml"},"description":"CIR 1560 XML"},{"id":492714,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1560/images/"},{"id":492712,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1560/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"CIR 1560 HTML"},{"id":492711,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1560/cir1560.pdf","text":"Report","size":"3.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1560 PDF"},{"id":492710,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1560/coverthb.jpg"}],"contact":"Associate Director, Ecosystems Mission Area
U.S. Geological Survey
Mail Stop 300
12201 Sunrise Valley Drive
Reston, VA 20192
No abstract available.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72040","usgsCitation":"Aponte Santiago, G., Baird-Lujano, J.E., Guzy, J.C., Biglin, D.G., Rentof, J.M., Bancroft, G.F., Romagosa, C.M., McCollister, M., and Hart, K., 2025, First record of twin and triplet embryos found in the clutch of a wild Burmese python in southern Florida: Ecology and Evolution, v. 15, no. 8, e72040, 5 p., https://doi.org/10.1002/ece3.72040.","productDescription":"e72040, 5 p.","ipdsId":"IP-179072","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":495187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72040","text":"Publisher Index Page"},{"id":495165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"southern Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.05196289193127,\n 26.55782993161675\n ],\n [\n -82.05196289193127,\n 24.500156215426458\n ],\n [\n -79.87435730932276,\n 24.500156215426458\n ],\n [\n -79.87435730932276,\n 26.55782993161675\n ],\n [\n -82.05196289193127,\n 26.55782993161675\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-08-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Aponte Santiago, Génesis","contributorId":360926,"corporation":false,"usgs":false,"family":"Aponte Santiago","given":"Génesis","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":947937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baird-Lujano, Judith E.","contributorId":360927,"corporation":false,"usgs":false,"family":"Baird-Lujano","given":"Judith","middleInitial":"E.","affiliations":[{"id":83764,"text":"Cherokee Nation System Solutions, contracted to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":947938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guzy, Jacquelyn C. 0000-0003-2648-398X","orcid":"https://orcid.org/0000-0003-2648-398X","contributorId":288520,"corporation":false,"usgs":true,"family":"Guzy","given":"Jacquelyn","email":"","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":947939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biglin, Derrick G.","contributorId":360928,"corporation":false,"usgs":false,"family":"Biglin","given":"Derrick","middleInitial":"G.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":947940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rentof, John-Kaarli M.","contributorId":360930,"corporation":false,"usgs":false,"family":"Rentof","given":"John-Kaarli","middleInitial":"M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":947941,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bancroft, George F.","contributorId":360932,"corporation":false,"usgs":false,"family":"Bancroft","given":"George","middleInitial":"F.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":947942,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Romagosa, Christina M.","contributorId":360934,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","middleInitial":"M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":947943,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCollister, Matthew","contributorId":303825,"corporation":false,"usgs":false,"family":"McCollister","given":"Matthew","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":947944,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":222407,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":947945,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70272689,"text":"70272689 - 2025 - The role of fire on Earth","interactions":[],"lastModifiedDate":"2026-01-07T17:36:21.383553","indexId":"70272689","displayToPublicDate":"2025-08-23T10:46:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"The role of fire on Earth","docAbstract":"Fire is a defining feature of our biosphere, having appeared when the first plants colonized the land, and it continues to occur across the planet at different frequencies and intensities. Fire has been and remains as an evolutionary force in many plant and animal lineages and contributes to explaining the variability of our biodiversity. Fire has also shaped the structure of many ecosystems and the distribution of biomes, and it is an important contributor to the global biogeochemical cycles. In addition, fire has been a key factor in human evolution, and, in turn, humans have modified fire regimes with important consequences for the biosphere. Consequently, fire is an intrinsic factor on our planet. Our challenge now is to understand and predict the role of fire in a densely populated, highly technological world that imposes significant changes on the Earth.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biaf132","usgsCitation":"Pausas, J.G., Keeley, J., and Bond, W.J., 2025, The role of fire on Earth: BioScience, v. 75, no. 12, p. 1028-1041, https://doi.org/10.1093/biosci/biaf132.","productDescription":"14 p.","startPage":"1028","endPage":"1041","ipdsId":"IP-176989","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497116,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biaf132","text":"Publisher Index Page"},{"id":497067,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-08-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Pausas, Juli G.","contributorId":363229,"corporation":false,"usgs":false,"family":"Pausas","given":"Juli","middleInitial":"G.","affiliations":[{"id":86660,"text":"Centro de Investigaciones sobre Desertificación, Consejo Superior de Investigaciones Científicas, Moncada, Spain","active":true,"usgs":false}],"preferred":false,"id":951336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bond, William J.","contributorId":363230,"corporation":false,"usgs":false,"family":"Bond","given":"William","middleInitial":"J.","affiliations":[{"id":12665,"text":"University of Cape Town","active":true,"usgs":false}],"preferred":false,"id":951338,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70271140,"text":"70271140 - 2025 - Contrasting long-term trends in channel width and shoreline complexity","interactions":[],"lastModifiedDate":"2025-08-28T15:14:23.604256","indexId":"70271140","displayToPublicDate":"2025-08-23T08:08:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting long-term trends in channel width and shoreline complexity","docAbstract":"Drought and reservoir management in the Colorado River Watershed have decreased peak flows and sediment loads reducing the ability of rivers to change their channels. Multiple studies have documented the resulting decrease in channel width, but less attention has been paid to long-term trends in shoreline complexity, including the number and size of islands. We used a sequence of aerial photographs and satellite images collected in 13 different years to measure decadal trends in channel complexity in Gray Canyon along the Green River, Utah. We quantified channel width and shoreline complexity for each year of available imagery. Between 1938 and 2021 peak flows decreased by 34% and channel width decreased by 18% confirming observations elsewhere in the system of decreasing width in response to decreasing flows. Over the same period, however, shoreline complexity increased by 5.5% and the number of islands almost tripled, indicating that merging of islands into the encroaching floodplain was outpaced by formation and growth of new islands. The increase in shoreline complexity occurred between 1938 and 2006. Since 2006 there has been no further net increase, suggesting that room for new island formation may now be limited in the narrower channel. Sequences of channel delineations already mapped to quantify long-term changes in channel width at other sites could easily be used to determine whether the increases in shoreline complexity we observed at Gray Canyon are matched elsewhere.","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2025.109978","usgsCitation":"Skaggs, E.R., Friedman, J.M., and Holmquist-Johnson, C., 2025, Contrasting long-term trends in channel width and shoreline complexity: Geomorphology, v. 489, 109978, 8 p., https://doi.org/10.1016/j.geomorph.2025.109978.","productDescription":"109978, 8 p.","ipdsId":"IP-178957","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":495007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah, Wyoming","otherGeospatial":"Green River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.79717695343466,\n 42.6685454040163\n ],\n [\n -110.79717695343466,\n 39.693550451413756\n ],\n [\n -107.87448269652732,\n 39.693550451413756\n ],\n [\n -107.87448269652732,\n 42.6685454040163\n ],\n [\n -110.79717695343466,\n 42.6685454040163\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"489","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Skaggs, Elizabeth Rachaelann 0000-0001-9672-641X","orcid":"https://orcid.org/0000-0001-9672-641X","contributorId":342031,"corporation":false,"usgs":true,"family":"Skaggs","given":"Elizabeth","email":"","middleInitial":"Rachaelann","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":947573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":947574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmquist-Johnson, Christopher 0000-0002-2782-7687","orcid":"https://orcid.org/0000-0002-2782-7687","contributorId":210644,"corporation":false,"usgs":true,"family":"Holmquist-Johnson","given":"Christopher","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":947575,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70270766,"text":"ofr20251038 - 2025 - Python Hyperspectral Analysis Tool (PyHAT) user guide","interactions":[],"lastModifiedDate":"2026-02-03T15:13:26.159322","indexId":"ofr20251038","displayToPublicDate":"2025-08-22T14:59:30","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1038","displayTitle":"Python Hyperspectral Analysis Tool (PyHAT) User Guide","title":"Python Hyperspectral Analysis Tool (PyHAT) user guide","docAbstract":"This report is a user guide for the 0.1.2 release of the Python Hyperspectral Analysis Tool (PyHAT) and its graphical user interface (GUI). The GUI is intended to provide an intuitive front end to allow users to apply sophisticated preprocessing and analysis methods to spectroscopic data. Though the PyHAT package has been developed with a particular focus on laser-induced breakdown spectroscopy (LIBS), the package uses a simple comma separated values (CSV)-based data format and is readily applicable in other spectroscopy applications. This guide provides background information about the package and its capabilities. It also provides practical guidance on usage and example workflows for a wide variety of datasets.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251038","usgsCitation":"Anderson, R.B., Aneece, I.P., and Gabriel, T.S.J., 2025, Python Hyperspectral Analysis Tool (PyHAT) user guide: U.S. Geological Survey Open-File Report 2025–1038, 59 p., https://doi.org/10.3133/ofr20251038.","productDescription":"xi, 59 p.","numberOfPages":"59","onlineOnly":"Y","ipdsId":"IP-120336","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":494678,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1038/images"},{"id":494677,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1038/ofr20251038.XML","description":"OFR 2025-1038 XML"},{"id":494676,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251038/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1038 HTML"},{"id":494675,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1038/ofr20251038.pdf","text":"Report","size":"12.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1038 PDF"},{"id":494653,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1038/coverthb.jpg"}],"contact":"Astrogeology Science Center
U.S. Geological Survey
2255 N. Gemini Dr.
Flagstaff, AZ 86001
During 2023–24, the U.S. Geological Survey, in cooperation with the Edwards Aquifer Authority, revised a previous publication of the geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers that was completed during 2018 within Hays County, Texas. The purpose of this report is to present the updated geologic framework and hydrostratigraphy of the rocks containing the Edwards and Trinity aquifers in Hays County from field observations of the surficial expressions of the rocks. The report includes a detailed 1:24,000-scale hydrostratigraphic map with names and descriptions of the geologic framework and hydrostratigraphic units (HSUs) in the study area. The study includes updates to the interpretation of the Kainer Formation of the Edwards Group with the addition of a burrowed unit between the basal nodular and dolomitic members. Hydrostratigraphy was also updated with the addition of the Seco Pass HSU for the burrowed member of the Kainer Formation. The study also includes updates to the interpretation of the hydrostratigraphy of the Trinity aquifer with the addition of the cavernous HSU at the top of the upper zone of the Trinity aquifer and the Herff Falls HSU between the Bulverde and Rust HSUs of the middle zone of the Trinity aquifer.
This updated report provides additional information about a complex aquifer system. The complexity in the aquifer system results from a combination of the original depositional history, bioturbation, development of primary and secondary porosity, postdepositional diagenesis, fracturing, and faulting.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3540","issn":"2329-132X","collaboration":"Prepared in cooperation with the Edwards Aquifer Authority","usgsCitation":"Clark, A.K., Morris, R.R., and Lamberts, A.P., 2025, Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas: U.S. Geological Survey Scientific Investigations Map 3540, 1 sheet, scale 1:24,000, 13-p. pamphlet, https://doi.org/10.3133/sim3540. [Supersedes USGS Scientific Investigations Map 3418.]","productDescription":"Pamphlet: viii, 13 p.; 1 Sheet: 49.01 x 39.15 inches; Data Release","numberOfPages":"13","onlineOnly":"Y","ipdsId":"IP-162173","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":493994,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13BICJ5","text":"USGS Data Release","linkHelpText":"- Geospatial dataset for the geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within Hays County, Texas, at 1:24,000 scale"},{"id":493995,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3540/sim3540_pamphlet.pdf","text":"Pamphlet","size":"3.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3540 pamphlet"},{"id":493993,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3540/sim3540.pdf","text":"Sheet","size":"12.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3540"},{"id":493992,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3540/coverthb.jpg"},{"id":493991,"rank":1,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3540/images"},{"id":495116,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118753.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","county":"Hays County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-98.2986,30.0395],[-98.2197,30.2335],[-98.1793,30.3395],[-98.1732,30.356],[-97.7131,30.0229],[-97.7659,29.9791],[-97.7763,29.9679],[-97.7891,29.9599],[-97.7995,29.9459],[-97.8161,29.9371],[-97.8599,29.91],[-97.897,29.8819],[-97.9008,29.8554],[-97.8966,29.8558],[-97.8934,29.8566],[-97.8924,29.8575],[-97.8918,29.8584],[-97.8907,29.8598],[-97.8902,29.8612],[-97.8896,29.8616],[-97.888,29.8625],[-97.8838,29.8615],[-97.8786,29.8591],[-97.9354,29.8185],[-97.9478,29.8091],[-97.9823,29.7726],[-97.9996,29.7537],[-98.0389,29.8493],[-98.1102,29.9036],[-98.2986,30.0395]]]},\"properties\":{\"name\":\"Hays\",\"state\":\"TX\"}}]}","contact":"Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501
Contact Us- USGS Publications Warehouse
","tableOfContents":"An ∼3 km long nodal array oriented approximately east–west was deployed in Chugiak, Alaska, by the U.S. Geological Survey during 2021. The array intersects with the permanent NetQuakes station NP.ARTY, where peak ground acceleration (PGA) value of 1.98g was recorded during the 2018 Mw 7.1 Anchorage, Alaska, earthquake, in sharp contrast to the PGA of ∼0.3g at a site just 4 km to the west. Seismic data for Mw 1.8–4.3 aftershocks from the Mw 7.1 event recorded by the nodal array confirm the anomalously large ground motions obtained at NP.ARTY as well as similar amplifications at nodes within ∼1 km to the east. Here, we performed 0–10 Hz 3D finite‐difference simulations, including high‐resolution surface topography, to explore the cause of the unexpectedly large amplification. As expected, the simulations computed with a regional 3D tomography velocity model severely underpredict the 0–10 Hz acceleration records at almost all sites. Adding a near‐surface low‐velocity taper to 300 m depth amplifies the accelerations by up to a factor of 5 and enables a reasonable match between the nodal data and simulations at sites to the west of NP.ARTY. However, this model still underpredicts the spectral energy in the area covered by glacial sediments by up to an order of magnitude. The addition of a till layer using a depth‐dependent shear‐wave velocity (Vs) profile along with a homogeneous, 8 m thick low‐velocity layer with Vs = 250 m/s representing the kame terraces improves the fit to data to within a factor of 2 at nodes located on top of the glacial sediments. Our study shows that the anomalously large high‐frequency amplification recorded at and near NP.ARTY can be explained by a combination of topographic effects and near‐surface low‐velocity material with amplification effects on the high‐frequency ground motion by up to about 40% and an order of magnitude, respectively.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240283","usgsCitation":"Yeh, T., Olsen, K.B., Steidl, J.H., and Haeussler, P., 2025, Near-surface material and topography generate anomalous high-frequency ground motion amplification in Chugiak, Alaska: Bulletin of the Seismological Society of America, v. 115, no. 6, p. 2793-2808, https://doi.org/10.1785/0120240283.","productDescription":"16 p.","startPage":"2793","endPage":"2808","ipdsId":"IP-173630","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":498350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Chugiak","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -149.0449585780233,\n 61.579337610698786\n ],\n [\n -150.32779349821365,\n 61.579337610698786\n ],\n [\n -150.32779349821365,\n 60.81067946634249\n ],\n [\n -149.0449585780233,\n 60.81067946634249\n ],\n [\n -149.0449585780233,\n 61.579337610698786\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Yeh, Te-Yang 0000-0002-9146-6804","orcid":"https://orcid.org/0000-0002-9146-6804","contributorId":364872,"corporation":false,"usgs":false,"family":"Yeh","given":"Te-Yang","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":953357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olsen, Kim B.","contributorId":364874,"corporation":false,"usgs":false,"family":"Olsen","given":"Kim","middleInitial":"B.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":953358,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steidl, Jamison Haase 0000-0003-0612-7654","orcid":"https://orcid.org/0000-0003-0612-7654","contributorId":239709,"corporation":false,"usgs":true,"family":"Steidl","given":"Jamison","email":"","middleInitial":"Haase","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":953359,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":353464,"corporation":false,"usgs":false,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":84407,"text":"USGS ASC retired","active":true,"usgs":false}],"preferred":false,"id":953360,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70271727,"text":"70271727 - 2025 - Using periodic matrix models to simulate the effectiveness of alternative reintroduction strategies for lizards on a seasonal tropical island","interactions":[],"lastModifiedDate":"2025-09-22T14:01:26.626812","indexId":"70271727","displayToPublicDate":"2025-08-22T08:58:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Using periodic matrix models to simulate the effectiveness of alternative reintroduction strategies for lizards on a seasonal tropical island","docAbstract":"Conservation translocations and reintroductions are widely used to improve conservation outcomes for declining species. Reintroductions are unlikely to be successful if the threats that led to the extirpation of the focal species, such as non-native predators, have not been ameliorated. The non-native brown treesnake (Boiga irregularis) was introduced to Guam in the mid-20th century and has devastated the native lizard fauna of this Pacific Island. Native lizard populations persist on small islands near Guam and could act as sources for reintroductions. Recently, trapping methods have been shown to greatly reduce the density of brown treesnakes, raising the possibility that native lizards could be reintroduced where brown treesnake abundance is controlled. Here we developed demographic models for four lizard species present on Guam to assess their validity as a trial for reintroducing species to meet native species recovery goals. These four species vary in their size, activity, and susceptibility to predation by brown treesnakes. We used periodic matrix models to simulate changes in lizard vital rates driven by the wet-dry seasonal cycle found on Guam. We found that the release of 60 individuals of each species was likely to result in successful reintroduction outcomes provided adult survival in the wild is similar to rates estimated based on life history parameters. Demographic models can be used to forecast reintroduction outcomes, including predicting the probability of success and evaluating causes of failure in the event that populations do not establish.
","language":"English","publisher":"Zoological Society of London","doi":"10.1111/acv.70033","usgsCitation":"Rose, J.P., Halstead, B., and Nafus, M.G., 2025, Using periodic matrix models to simulate the effectiveness of alternative reintroduction strategies for lizards on a seasonal tropical island: Animal Conservation, https://doi.org/10.1111/acv.70033.","ipdsId":"IP-157311","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":496141,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/acv.70033","text":"Publisher Index Page"},{"id":495835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Guam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 145.0069622718084,\n 13.65408637492817\n ],\n [\n 144.57903827244206,\n 13.65408637492817\n ],\n [\n 144.57903827244206,\n 13.222559261674391\n ],\n [\n 145.0069622718084,\n 13.222559261674391\n ],\n [\n 145.0069622718084,\n 13.65408637492817\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-08-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":949209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":215986,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian","email":"bhalstead@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":949210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":949211,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273040,"text":"70273040 - 2025 - The bat signal: An ultraviolet light lure to increase acoustic detection of bats","interactions":[],"lastModifiedDate":"2025-12-12T17:50:23.164107","indexId":"70273040","displayToPublicDate":"2025-08-21T10:39:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5762,"text":"Animals","active":true,"publicationSubtype":{"id":10}},"title":"The bat signal: An ultraviolet light lure to increase acoustic detection of bats","docAbstract":"Bats are a taxa of high conservation concern and are facing numerous threats including widespread mortality due to White-Nose Syndrome (WNS) in North America. With this decline comes increasing difficulty in monitoring imperiled bat species due to lower detection probabilities of both mist-netting and acoustic surveys. Lure technology shows promise to increase detection while decreasing sampling effort; however, to date research has primarily focused on increasing physical captures during mist-net surveys using sound lures. Because much bat monitoring is now performed using acoustic detection, there is a similar need to increase detection probabilities during acoustic surveys. Ultraviolet (UV) lights anecdotally have been shown to attract insects and thereby attract foraging bats for observational studies and to experimentally provide a food source for WNS-impacted bats before and after hibernation. Therefore, we constructed a field-portable and programmable UV lure device to determine the value of lures for increasing acoustic detection of bats. We tested if the lure device increased both the echolocation passes and feeding activity (feeding buzzes) across a transect of bat detectors. There was an increase in feeding activity around the UV light, with a nuanced, species-specific and positionally dependent effect on echolocation passes received. The UV light lure increased echolocation passes for the eastern red bat (Lasiurus borealis), little brown bat (Myotis lucifugus), and evening bat (Nycticeius humeralis), but decreased passes of the North American hoary bat (Lasiurus cinereus). The northern long-eared bat (Myotis septentrionalis) showed a negative response within the illuminated area but increased echolocation activity outside the illuminated area during lure treatment and activity was elevated at all positions after the lure was deactivated. Our study demonstrates some potential utility of UV lures in increasing the feeding activity and acoustic detection of bats. Additional research and development of UV lure technology may be beneficial, including alternating on and off periods to improve detection of light-averse species, and improving echolocation call quality along with the increase in received passes.
","language":"English","publisher":"MDPI","doi":"10.3390/ani15162458","usgsCitation":"Freeze, S.R., Deeley, S.M., Litterer, A.S., Freeze, J.M., and Ford, W., 2025, The bat signal: An ultraviolet light lure to increase acoustic detection of bats: Animals, v. 15, no. 16, 2458, 31 p., https://doi.org/10.3390/ani15162458.","productDescription":"2458, 31 p.","ipdsId":"IP-179561","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497711,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani15162458","text":"Publisher Index Page"},{"id":497492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Prince William Forest Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.4388964315137,\n 38.6362469072904\n ],\n [\n -77.4388964315137,\n 38.55055265494616\n ],\n [\n -77.33478490822863,\n 38.55055265494616\n ],\n [\n -77.33478490822863,\n 38.6362469072904\n ],\n [\n -77.4388964315137,\n 38.6362469072904\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"16","noUsgsAuthors":false,"publicationDate":"2025-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Freeze, Samuel R.","contributorId":363959,"corporation":false,"usgs":false,"family":"Freeze","given":"Samuel","middleInitial":"R.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":952132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deeley, Sabrina M.","contributorId":363962,"corporation":false,"usgs":false,"family":"Deeley","given":"Sabrina","middleInitial":"M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":952133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Litterer, Amber S.","contributorId":363965,"corporation":false,"usgs":false,"family":"Litterer","given":"Amber","middleInitial":"S.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":952134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeze, J. Mark","contributorId":363968,"corporation":false,"usgs":false,"family":"Freeze","given":"J.","middleInitial":"Mark","affiliations":[{"id":86746,"text":"Independent electrical engineer","active":true,"usgs":false}],"preferred":false,"id":952135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":952136,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272261,"text":"70272261 - 2025 - Spatial mapping of dissolved methane using an in situ sensor in Puget Sound","interactions":[],"lastModifiedDate":"2025-11-20T15:39:11.301779","indexId":"70272261","displayToPublicDate":"2025-08-21T09:31:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7183,"text":"Limnology and Oceanography Methods","active":true,"publicationSubtype":{"id":10}},"title":"Spatial mapping of dissolved methane using an in situ sensor in Puget Sound","docAbstract":"Release of methane, as gas bubbles or in the dissolved phase, from the seafloor has been observed in coastal waters (< 200 m) and deep ocean basins (> 1000 m). Methane dissolution within the water column affects the geochemistry of the surrounding water, leading to localized oxygen loss and potential escape to the atmosphere, particularly from shallower sites. Traditional methods for detecting and quantifying dissolved methane rely on collecting discrete water samples for ship- or land-based ex situ analysis and post processing. Here, we report on the use of a reduced response time, in situ methane sensor, the Sensor for Aqueous Gases in the Environment (SAGE), for detecting and quantifying dissolved methane concentrations in a wide range of seafloor environments. During a Fall 2022 research cruise on the R/V Thomas G. Thompson in Puget Sound, SAGE was integrated onto a towed conductivity/temperature/depth rosette and deep-sea camera system with live-stream 1 Hz telemetry and used to spatially map the concentration of methane approximately 1 m above the seafloor. The site had been previously identified as an active methane plume field characterized by gas bubbles, fluid venting, and a faulted seabed. The widespread background dissolved concentration of methane measured by SAGE was 83 nM, and a range of 78–670 nM was observed throughout the survey. The results highlight the capacity of SAGE to map the spatial and temporal variability of dissolved methane concentrations in situ and to identify and localize sites of variable methane emissions from the seafloor.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lom3.10717","usgsCitation":"Padilla, A.M., Pardis, W., Kapit, J., Bjorklund, T.A., Ward, N.D., Fornari, D.J., Hautala, S., Waite, W., Johnson, H.P., and Michel, A.P., 2025, Spatial mapping of dissolved methane using an in situ sensor in Puget Sound: Limnology and Oceanography Methods, v. 23, no. 11, p. 804-814, https://doi.org/10.1002/lom3.10717.","productDescription":"11 p.","startPage":"804","endPage":"814","ipdsId":"IP-162821","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":496756,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lom3.10717","text":"Publisher Index Page"},{"id":496684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.425,\n 47.5625\n ],\n [\n -122.425,\n 47.551389\n ],\n [\n -122.4125,\n 47.551389\n ],\n [\n -122.4125,\n 47.5625\n ],\n [\n -122.425,\n 47.5625\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Padilla, Alexandra M.","contributorId":362571,"corporation":false,"usgs":false,"family":"Padilla","given":"Alexandra","middleInitial":"M.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":950604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pardis, William","contributorId":362574,"corporation":false,"usgs":false,"family":"Pardis","given":"William","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":950605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kapit, Jason","contributorId":362576,"corporation":false,"usgs":false,"family":"Kapit","given":"Jason","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":950606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bjorklund, Tor A.","contributorId":362579,"corporation":false,"usgs":false,"family":"Bjorklund","given":"Tor","middleInitial":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":950607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ward, Nicholas D.","contributorId":362582,"corporation":false,"usgs":false,"family":"Ward","given":"Nicholas","middleInitial":"D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":950608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fornari, Daniel J.","contributorId":362584,"corporation":false,"usgs":false,"family":"Fornari","given":"Daniel","middleInitial":"J.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":950609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hautala, Susan","contributorId":194235,"corporation":false,"usgs":false,"family":"Hautala","given":"Susan","email":"","affiliations":[],"preferred":false,"id":950610,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waite, William F. 0000-0002-9436-4109 wwaite@usgs.gov","orcid":"https://orcid.org/0000-0002-9436-4109","contributorId":625,"corporation":false,"usgs":true,"family":"Waite","given":"William F.","email":"wwaite@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":950611,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, H. Paul","contributorId":362588,"corporation":false,"usgs":false,"family":"Johnson","given":"H.","middleInitial":"Paul","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":950612,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Michel, Anna P.","contributorId":362590,"corporation":false,"usgs":false,"family":"Michel","given":"Anna","middleInitial":"P.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":950613,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70271952,"text":"70271952 - 2025 - Home range, seasonality, and the importance of canopy cover for Texas Tortoises (Gopherus berlandieri)","interactions":[],"lastModifiedDate":"2025-09-26T15:17:29.826213","indexId":"70271952","displayToPublicDate":"2025-08-21T08:08:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Home range, seasonality, and the importance of canopy cover for Texas Tortoises (Gopherus berlandieri)","title":"Home range, seasonality, and the importance of canopy cover for Texas Tortoises (Gopherus berlandieri)","docAbstract":"Texas Tortoises (Gopherus berlandieri) are understudied compared to federally protected congeners. Despite important early studies on the basic ecology of G. berlandieri, quantitative identification of habitat associations with specific environmental conditions has been limited. Gopherus berlandieri inhabits Tamaulipan thornscrub across its range, and coastal populations are historically associated with low-relief clay ridges with thick mesquital scrub surrounded by salt prairie grasslands. Our study examined tortoise home range size and association with canopy cover and potential ground moisture at a protected natural area in Cameron County, TX, USA. Twelve tortoises were outfitted with GPS loggers that recorded location once an hour from March 2020 to March 2022. To delineate home ranges, we estimated utilization distributions (UDs) for tortoises as autocorrelated kernel density estimates (AKDEs) at low-use (95%) and core-use (50%) levels for each tortoise. UDs were estimated for the entire study period and during seasons of sustained heat or cold to determine if tortoises used space differently across these seasons over the study period. Applying a use-availability study design, we compared canopy cover and potential mesic ground condition (i.e., precipitation flow accumulation) within each tortoise's UD (“use”) to the area within 1 day's movement around the boundary of the UD (“available”). Tortoise UD sizes were significantly different across seasons for low-use (95%) but not for core-use (50%) AKDE levels. Tortoise UDs had greater canopy cover compared to available-but-unused areas at both AKDE levels. Potential mesic ground condition did not significantly differ between available and used areas. Our study revealed that tortoises vary the size of their home ranges throughout the year, whereas areas of intensive use or occupation tended to remain remarkably stable throughout the year. In seasons of extreme weather (hot or cold), tortoises seem to seek out areas of denser canopy cover that likely serve as thermal refugia. Based on our results, effective habitat identification may best be served by ensuring that canopy cover is at least equivalent to the values reported here to ensure sufficient refugia during extreme seasonal temperatures.
","language":"English","publisher":"BioOne","doi":"10.1655/Herpetologica-D-24-00045","usgsCitation":"Guerra, D.A., Esque, T.C., Davis, D.R., and Veech, J.A., 2025, Home range, seasonality, and the importance of canopy cover for Texas Tortoises (Gopherus berlandieri): Herpetologica, v. 81, no. 3, p. 224-235, https://doi.org/10.1655/Herpetologica-D-24-00045.","productDescription":"12 p.","startPage":"224","endPage":"235","ipdsId":"IP-166128","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":496197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Cameron County","otherGeospatial":"Palo Alto Battlefield National Historical Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.48020285982955,\n 26.047557179351983\n ],\n [\n -97.48020285982955,\n 26.000617224658356\n ],\n [\n -97.44210067536247,\n 26.000617224658356\n ],\n [\n -97.44210067536247,\n 26.047557179351983\n ],\n [\n -97.48020285982955,\n 26.047557179351983\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"81","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Guerra, Daniel A.","contributorId":361799,"corporation":false,"usgs":false,"family":"Guerra","given":"Daniel","middleInitial":"A.","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":949481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esque, Todd C. 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":221817,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":949482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Drew R.","contributorId":361802,"corporation":false,"usgs":false,"family":"Davis","given":"Drew","middleInitial":"R.","affiliations":[{"id":86355,"text":"Eastern New Mexico University and UTexas at Austin","active":true,"usgs":false}],"preferred":false,"id":949483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Veech, Joseph A.","contributorId":361803,"corporation":false,"usgs":false,"family":"Veech","given":"Joseph","middleInitial":"A.","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":949484,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270361,"text":"dr1214 - 2025 - Revised marine bird collision and displacement vulnerability index for U.S. Pacific Outer Continental Shelf offshore wind energy development","interactions":[],"lastModifiedDate":"2026-02-03T15:11:59.483763","indexId":"dr1214","displayToPublicDate":"2025-08-21T06:59:57","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1214","displayTitle":"Revised Marine Bird Collision and Displacement Vulnerability Index for U.S. Pacific Outer Continental Shelf Offshore Wind Energy Development","title":"Revised marine bird collision and displacement vulnerability index for U.S. Pacific Outer Continental Shelf offshore wind energy development","docAbstract":"The installation of offshore wind energy infrastructure (OWEI) at sea may affect marine birds by increasing the risk of mortality from collision with OWEI (Collision Vulnerability) and causing disturbance and displacement from important habitats (Displacement Vulnerability). In 2017, we published the first comprehensive database quantifying marine bird Collision Vulnerability and Displacement Vulnerability to potential OWEI in the region of the U.S. Pacific Outer Continental Shelf (POCS; waters within the Exclusive Economic Zone of California, Oregon, and Washington). We have updated this Vulnerability Index with new research and data, additional species present in the POCS, and an evolved understanding of the application and utility of the Index. Of the species assessed, phalaropes and Red-billed Tropicbird have the highest Collision Vulnerability, and gulls, terns, jaegers, skuas, and pelicans have moderately high Collision Vulnerability. Boobies, sea ducks, and pelicans have the greatest Displacement Vulnerability. The overall trends in ranked Vulnerability among marine birds in the POCS were consistent between Version 1 and Version 2 although new data and revised calculations updated the outcomes. Alcids, loons, storm-petrels, Brant, and phalaropes ranked higher for Collision Vulnerability in Version 2 compared to Version 1; sea ducks, cormorants, skua, and jaegers ranked lower for Collision Vulnerability in Version 2 compared to Version 1. Displacement Vulnerability ranks were higher in Version 2 for gulls, pelicans, sea ducks, and alcids and lower for albatrosses, terns, and loons. Vulnerability Index Version 2 is an up-to-date, representative, and transparent assessment of marine bird vulnerability to potential offshore wind energy development. This updated Vulnerability Index can assist resource managers and others in understanding and addressing potential interactions between OWEI and marine bird species that inhabit the POCS.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1214","collaboration":"Prepared in cooperation with the Bureau of Ocean Energy Management","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Kelsey, E.C., Felis, J.J., Pereksta, D.M., and Adams, J., 2025, Revised marine bird collision and displacement vulnerability index for U.S. Pacific Outer Continental Shelf offshore wind energy development (ver. 1.1,\nNovember 2025): U.S. Geological Survey Data Report 1214, 32 p., https://doi.org/10.3133/dr1214.","productDescription":"viii, 32 p.","onlineOnly":"Y","ipdsId":"IP-167805","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":496435,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1214/dr1214.XML"},{"id":496432,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/dr/1214/VersionHistory.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"},"description":"Version History"},{"id":496434,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1214/images"},{"id":496433,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1OUOM9W","text":"USGS data release","description":"USGS data release","linkHelpText":"Data for the revised marine bird Collision and Displacement Vulnerability Index for Pacific Outer Continental Shelf offshore wind energy development"},{"id":496431,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1214/dr1214.pdf","text":"Report","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1214"},{"id":496429,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1214/coverthb2.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.11122811871701,\n 46.836231292523934\n ],\n [\n -133.66298337147504,\n 43.87312626189197\n ],\n [\n -135.1639174719598,\n 38.18991249267404\n ],\n [\n -124.75213428275356,\n 21.70090202972672\n ],\n [\n -117.3903149351834,\n 19.187148095597664\n ],\n [\n -108.20584860772473,\n 21.105959128505745\n ],\n [\n -110.47687143079384,\n 23.789215318067903\n ],\n [\n -114.73093128440786,\n 29.394483151806185\n ],\n [\n -116.81948042658601,\n 32.732895836344994\n ],\n [\n -120.58898983505466,\n 35.78436076311384\n ],\n [\n -123.50560199570324,\n 40.66753444650692\n ],\n [\n -123.11122811871701,\n 46.836231292523934\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: August 19, 2025; Version 1.1: November 17, 2025","contact":"Director, Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
The U.S. Geological Survey (USGS) is using collaborative, interdisciplinary planning to develop data and tools needed to optimize the management of water resources and land use by resource management agencies during an ongoing, multidecadal drought in the Colorado River Basin. The USGS Actionable and Strategic Integrated Science and Technology team works to build relationships with resource management agencies and other stakeholders who can benefit from the use of USGS data and products. In 2023, the Actionable and Strategic Integrated Science and Technology team hosted a series of collaborative workshops to bring together representatives of resource management agencies and other stakeholders (any person or entity with interests in a resource or location) with USGS program managers, scientists, and multidisciplinary subject matter experts to codevelop concepts for interdisciplinary drought science and technology projects to address pressing needs related to drought in the Colorado River Basin. Workshop participants identified current and recent scientific data that could be shared through a centralized online data portal. Workshop participants also identified drought science and technology needs and developed project concepts to address those science needs. Participants categorized project concepts based on their potential to develop short-, mid-, and long-term drought science data and tools, provide for the spatial or temporal expansion of ongoing USGS science projects, and address high-priority science needs. Participants developed nine project concepts: (1) understanding shifting ecohydrologic baselines, (2) San Juan River Basin synthesis, (3) incorporating dynamic land cover into hydrologic models, (4) aridification compared to drought, (5) surface water-groundwater interactions, (6) cascading effects of drought on dust, (7) cascading effects of drought on water availability, (8) cascading effects of drought on socioeconomic factors, and (9) the value of water in the Colorado River Basin. This report provides an overview of the 2023 Codesign Workshop Series, synthesized outcomes from workshop materials and discussions, and science project concepts that emerged from the collaborative meetings that will continue to be refined into science project proposals through codevelopment processes. This report also highlights lessons learned and next steps needed to receive feedback and testing of the USGS Science Collaboration Portal, continue collaboration to develop detailed specifics and steps for short-term wins, develop interdisciplinary project proposals, and implement science planning and studies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20251041","usgsCitation":"Anderson, P.J., Godaire, J.E., Jones, D.K., Andrews, W.J., Torregrosa, A.A., Bell, M.T., Holloway, J.M., Blakowski, M.A., Hevesi, J.A., and Qi, S.L., 2025, Collaborative drought science planning in the Colorado River Basin: U.S. Geological Survey Open-File Report 2025–1041, 32 p., https://doi.org/10.3133/ofr20251041.","productDescription":"vi, 32 p.","onlineOnly":"Y","ipdsId":"IP-165607","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":494357,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1041/ofr20251041.xml"},{"id":494378,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251041/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1041"},{"id":494325,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1041/ofr20251041.pdf","text":"Report","size":"9.41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1041"},{"id":494356,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1041/images"},{"id":494324,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1041/coverthb.jpg"}],"country":"Mexico, United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah, Wyoming","otherGeospatial":"Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.23441985470737,\n 42.42360949558767\n ],\n [\n -110.0074572875208,\n 42.9273485741041\n ],\n [\n -110.88201818257588,\n 40.83215412591818\n ],\n [\n -112.09041488325958,\n 37.81270064609009\n ],\n [\n -113.86864235906498,\n 37.77076755792572\n ],\n [\n -113.94586057217214,\n 38.21912009189296\n ],\n [\n -115.10119317735365,\n 39.08121928179544\n ],\n [\n -115.47544949784407,\n 35.429353160164375\n ],\n [\n -115.29249888241867,\n 31.986896837542588\n ],\n [\n -110.42076682180414,\n 30.172954165166573\n ],\n [\n -108.95437388160886,\n 30.991312421045535\n ],\n [\n -108.56364522256465,\n 31.857948821439074\n ],\n [\n -107.84802514114666,\n 32.26017852956302\n ],\n [\n -107.22575341999277,\n 34.155285973008596\n ],\n [\n -107.68523996280838,\n 35.482296714195456\n ],\n [\n -106.46728549757393,\n 37.071939542790304\n ],\n [\n -105.6885671199549,\n 39.88037502712785\n ],\n [\n -106.23441985470737,\n 42.42360949558767\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Fort Collins Science Center
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Aeromagnetic and gravity surveys of the Skaergaard intrusion in East Greenland were carried out in July–August 1971 as part of a grant to the University of Oregon Center for Volcanology to refine the models of crystallization and differentiation of the intrusion, specifically to test whether the intrusion is underlain by dense rocks of a reservoir 20 kilometers (km) thick (referred to as a “hidden zone”). The Skaergaard intrusion is a source of platinum group elements that are critical mineral resources for many technologies, and because no new data have been collected these legacy datasets remain a valuable asset. The total-intensity aeromagnetic survey was flown in early July 1971 with a proton precession magnetometer at a constant barometric altitude of 1.5 km (5,000 feet) with a nominal line spacing of 1 km. Two gravimeters were used to acquire 168 stations of which 86 were at known altitudes (mainly sea level) and 82 had altitudes measured by altimetry in late July–August 1971. Finally, a north-south ground vertical-intensity magnetic traverse was completed across the intrusion together with collection of oriented hand specimens. The hand specimens were measured for remnant magnetization and density, along with density measurements of more specimens collected by expedition geologists for other purposes.
The intrusion is composed of layered gabbro with extensive crystal fractionation that is dense and strongly reversely polarized. After terrain correction and standard Bouguer gravity reduction, the gravity anomaly dataset was corrected for all rock above sea level using the density measurements of the various zones of the intrusion and the topographic and geologic maps (variable density Bouguer gravity reduction).
A large regional gradient in the gravity anomaly data was removed using orthogonal polynomial fitting to the gridded data. The zonal volumes of rock below sea level were calculated from the dipping polygonal layer gravity model of the intrusion below sea level and combined with elliptic cross–section cylinders for the various zones above sea level to approximate the original zonal volumes of the intrusion. The residual gravity anomaly of 18–20 milligals (mGal) was only about half of the expected anomaly if a large hidden zone proposed from petrologic considerations were present, and both two-dimensional and three-dimensional models imply that the exposed series of intrusion zones explain the gravity anomaly by their down-dip extension below sea level together with a small hidden-zone volume. A three-dimensional model of the exposed rocks and their down-dip extension below sea level also can account for the aeromagnetic anomaly with little or no requirement for hidden-zone rock. The middle and upper zone units of the intrusion contain the most magnetite and account for most of the aeromagnetic anomaly.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251030","programNote":"Mineral Resources Program","usgsCitation":"Gettings, M.E., 2025, Gravity and magnetic surveys of the Skaergaard intrusion, East Greenland: U.S. Geological Survey Open-File Report 2025–1030, 43 p., https://doi.org/10.3133/ofr20251030.","productDescription":"Report: ix, 43 p.; Data Release","numberOfPages":"43","onlineOnly":"Y","ipdsId":"IP-126792","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":494352,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91OVG7G","text":"USGS data release","description":"Gettings, M.E., and Parks, H.L., 2025, Aeromagnetic and gravity surveys of the Skaergaard intrusion in East Greenland, 1971: U.S. Geological Survey data release, https://doi.org/10.5066/P91OVG7G.","linkHelpText":"Aeromagnetic and gravity surveys of the Skaergaard intrusion in East Greenland, 1971"},{"id":494347,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1030/coverthb.jpg"},{"id":494348,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1030/ofr20251030.pdf","text":"Report","size":"6.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1030 PDF"},{"id":494349,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251030/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1030 HTML"},{"id":494350,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1030/ofr20251030.XML","description":"OFR 2025-1030 XML"},{"id":494351,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1030/images"}],"country":"Greenland","otherGeospatial":"Skaergaard intrusion","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -32.1667,\n 68.3\n ],\n [\n -32.1677,\n 68\n ],\n [\n -31.1667,\n 68\n ],\n [\n -31.1667,\n 68.3\n ],\n [\n -32.1667,\n 68.3\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Geology, Minerals, Energy, and Geophysics Science Center
U.S. Geological Survey
Building 19, 350 N. Akron Rd.
P.O. Box 158
Moffett Field, CA 94035
Conventional dietary assessments are challenging in hematophagous species, particularly in sea lamprey (Petromyzon marinus). However, recent technological developments and molecular approaches have provided an attractive alternative through the use of DNA metabarcoding. While DNA metabarcoding has been used for dietary analyses in numerous species, including lampreys, applications of universal primers that detect a diverse set of prey items can be limited by the amplification of predator DNA. In this study, we designed and tested eight blocking primers designed to suppress the amplification of sea lamprey DNA with vertebrate-universal primers targeting the mitochondrial 12S rRNA gene. This approach allowed for the use of a single marker to amplify a taxonomically diverse suite of host species, in contrast to previous studies that used multiple taxon-specific primer pairs (e.g., Salmonidae, Cyprinidae, and Catostomidae). Candidate blocking primers evaluated in this study differed in base pair length, end sequence modification, and purification method. Samples with different sea lamprey-to-host DNA ratios were subjected to multiple detection methods including gel electrophoresis, quantitative PCR, and DNA metabarcoding to assess the ability of each blocking primer to selectively suppress amplification of the sea lamprey 12S gene region. All blocking primers tested performed well and demonstrated high effectiveness, suppressing sea lamprey reads by > 99.9% in mock communities and improving host DNA sequence recovery across various sample types, including wild-caught lamprey. Results show that the blocking primers evaluated can facilitate molecular diet analysis in sea lamprey, allowing the amplification of a taxonomically diverse range of host fish species with universal primers.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71999","usgsCitation":"O'Kane, C., Johnson, N.S., Scribner, K.T., Kanefsky, J., Li, W., and Robinson, J.D., 2025, Development of PCR blocking primers enabling DNA metabarcoding analysis of dietary composition in hematophagous sea lamprey: Ecology and Evolution, v. 15, no. 8, e71999, 17 p., https://doi.org/10.1002/ece3.71999.","productDescription":"e71999, 17 p.","ipdsId":"IP-180902","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":495047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71999","text":"Publisher Index Page"},{"id":494536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.42859751371756,\n 46.71487752181625\n ],\n [\n -88.36277690371458,\n 45.01774821823912\n ],\n [\n -88.31731481855903,\n 41.21678815653618\n ],\n [\n -82.47857075519083,\n 40.921825838317346\n ],\n [\n -76.56443794208697,\n 42.71597391873013\n ],\n [\n -75.95858087681425,\n 44.662611421640634\n ],\n [\n -78.61421032535229,\n 45.36119897624181\n ],\n [\n -83.48488030611055,\n 47.11030206757272\n ],\n [\n -83.94723014044203,\n 48.52355518474724\n ],\n [\n -89.06406805799038,\n 49.4614460474032\n ],\n [\n -93.42859751371756,\n 46.71487752181625\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"O'Kane, Conor","contributorId":360151,"corporation":false,"usgs":false,"family":"O'Kane","given":"Conor","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":946858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":946859,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scribner, Kim T.","contributorId":360153,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim","middleInitial":"T.","affiliations":[{"id":85977,"text":"Michigan State Univesity","active":true,"usgs":false}],"preferred":false,"id":946860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kanefsky, Jeannette","contributorId":243198,"corporation":false,"usgs":false,"family":"Kanefsky","given":"Jeannette","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":946861,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":946862,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robinson, John D.","contributorId":360155,"corporation":false,"usgs":false,"family":"Robinson","given":"John","middleInitial":"D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":946863,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272186,"text":"70272186 - 2025 - Divergent trends in fluvial suspended-sediment concentrations following improved land-use practices, southwest Washington State","interactions":[],"lastModifiedDate":"2025-11-18T15:33:25.145266","indexId":"70272186","displayToPublicDate":"2025-08-20T09:20:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Divergent trends in fluvial suspended-sediment concentrations following improved land-use practices, southwest Washington State","docAbstract":"Improvements in logging practices since the mid-20th century are widely presumed to have reduced suspended sediment loads in streams across the Pacific Northwest. However, there have been few opportunities to directly assess this, particularly in larger rivers. We compare modern (2019–22) and historical (1960s) suspended sediment monitoring in three large, actively managed watersheds in western Washington with similar land-use histories. In the two watersheds draining the southern Olympic Mountains (Satsop and Wynoochee Rivers), modern sediment yields were around 300 t/km2/yr, two to three times lower than historical conditions. Most suspended sediment exiting these watersheds came from rolling terrain mantled by glacial deposits in the lower watersheds, not the steep headwaters. Modern sediment yields in the Chehalis River, draining the low-relief Willapa Hills, were lower (70 t/km2/yr), though this represented a 50 % increase relative to historical conditions. SSC-discharge relations in the Chehalis River were steady from 1961 to 1994, indicating this increase happened sometime after 1994. The Chehalis River headwaters were uniquely impacted by landsliding during a 2007 storm, though there is some evidence against that storm as the cause of the recent increase. Ultimately, improved land-use practices appear to have reduced suspended sediment loads in large rivers of the southern Olympic Mountains several-fold, consistent with prior findings in the western Olympic Mountains, primarily due to reduced sediment delivery from the lower watersheds. Countervailing SSC-discharge trends and lower yields in the Chehalis River underscore that background sediment delivery rates and sensitivity to land-use disturbance may vary substantially within a region.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2025.109963","usgsCitation":"Anderson, S., Curran, C.A., Wilkerson, O., and Seguin, K., 2025, Divergent trends in fluvial suspended-sediment concentrations following improved land-use practices, southwest Washington State: Geomorphology, v. 488, 109963, 13 p., https://doi.org/10.1016/j.geomorph.2025.109963.","productDescription":"109963, 13 p.","ipdsId":"IP-159608","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":496732,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2025.109963","text":"Publisher Index Page"},{"id":496585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Chehalis River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124,\n 47.667\n ],\n [\n -124,\n 46.333\n ],\n [\n -122.333,\n 46.333\n ],\n [\n -122.333,\n 47.667\n ],\n [\n -124,\n 47.667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"488","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Scott W 0000-0002-6239-7352","orcid":"https://orcid.org/0000-0002-6239-7352","contributorId":344221,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott W","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilkerson, Oscar A. 0000-0003-1786-5329","orcid":"https://orcid.org/0000-0003-1786-5329","contributorId":344222,"corporation":false,"usgs":true,"family":"Wilkerson","given":"Oscar","middleInitial":"A.","affiliations":[{"id":80400,"text":"Washington Water Science Center","active":true,"usgs":false}],"preferred":true,"id":950369,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seguin, Katie","contributorId":362358,"corporation":false,"usgs":false,"family":"Seguin","given":"Katie","affiliations":[{"id":86510,"text":"USGS, WA WSC","active":true,"usgs":false}],"preferred":false,"id":950368,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270360,"text":"fs20253040 - 2025 - Assessment of undiscovered conventional oil and gas resources in Mexico, Belize, and Guatemala, 2024","interactions":[],"lastModifiedDate":"2026-02-03T15:09:56.734333","indexId":"fs20253040","displayToPublicDate":"2025-08-20T01:55:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3040","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources in Mexico, Belize, and Guatemala, 2024","title":"Assessment of undiscovered conventional oil and gas resources in Mexico, Belize, and Guatemala, 2024","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 14.6 billion barrels of oil and 83.7 trillion cubic feet of gas in Mexico, Belize, and Guatemala.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253040","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Le, P.A., Cicero, A.D., Drake, R.M., II, Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., Leathers-Miller, H.M., and Timm, K.K., 2025, Assessment of undiscovered conventional oil and gas resources in Mexico, Belize, and Guatemala, 2024: U.S. Geological Survey Fact Sheet 2025–3040, 6 p., https://doi.org/10.3133/fs20253040.","productDescription":"Report: 6 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-168543","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":494358,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253040/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3040"},{"id":494355,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3040/fs20253040.xml"},{"id":494354,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3040/images"},{"id":494238,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1ZDDFCV","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Provinces of Mexico, Belize, and Guatemala—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":494236,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3040/coverthb.jpg"},{"id":494237,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3040/fs20253040.pdf","text":"Report","size":"5.30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3040"}],"country":"Belize, Guatemala, Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -101.3086992481862,\n 25.996938636083627\n ],\n [\n -101.3086992481862,\n 14.653424847535774\n ],\n [\n -86.17860869264547,\n 14.653424847535774\n ],\n [\n -86.17860869264547,\n 25.996938636083627\n ],\n [\n -101.3086992481862,\n 25.996938636083627\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
The aquarium trade is a global industry responsible for the movement of live plants and animals, but it also serves as a major pathway for the introduction and spread of aquatic invasive species. Invasive species contribute to biodiversity loss, disrupt ecosystems, and can have widespread economic and societal impacts. A significant but poorly understood invasion risk in the plant aquarium trade is the transport of hitchhiking species, which are organisms unintentionally transported along with a species of primary interest in trade. Aquatic hitchhikers can persist in aquaria and later be released into the wild, potentially establishing invasive populations. While some studies have identified hitchhiking as a pathway for aquatic species spread, it remains largely unrecognized in international regulations. Increased awareness, triggered by incidents such as zebra mussels found in aquarium plants, highlights the need for further investigation into this emerging pathway of concern. As a response, we reviewed the current state of knowledge regarding aquatic plants in the aquarium trade as vectors for transporting invasive hitchhiking species, with a particular focus on how morphological complexity of plants influences associated hitchhikers. We found that although awareness of hitchhiking species in the aquarium trade is increasing, few studies have empirically examined aquarium plants as vectors for invasive species. Understanding this pathway can help to inform invasive species management around the plant aquarium trade and to keep aquarium organisms in a sustainable manner.
","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/mbi.2025.16.4.01","usgsCitation":"O'Shaughnessy, K.A., Daniel, W., Hendrickson, Z.C., Smith, S., McDonald, A.M., and Martin, C.W., 2025, Invasive hitchhiking organisms on aquarium plants: An emerging pathway of introduction: Management of Biological Invasions, v. 16, no. 4, p. 879-893, https://doi.org/10.3391/mbi.2025.16.4.01.","productDescription":"15 p.","startPage":"879","endPage":"893","ipdsId":"IP-180113","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497744,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2025.16.4.01","text":"Publisher Index Page"},{"id":497678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"O'Shaughnessy, Kathryn A.","contributorId":364444,"corporation":false,"usgs":false,"family":"O'Shaughnessy","given":"Kathryn","middleInitial":"A.","affiliations":[{"id":48711,"text":"Dauphin Island Sea Lab","active":true,"usgs":false}],"preferred":false,"id":952648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Daniel, Wesley M. 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":214505,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hendrickson, Zoey C.W.","contributorId":364447,"corporation":false,"usgs":false,"family":"Hendrickson","given":"Zoey","middleInitial":"C.W.","affiliations":[{"id":48710,"text":"University of South Alabama","active":true,"usgs":false}],"preferred":false,"id":952650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Samantha N.","contributorId":349763,"corporation":false,"usgs":false,"family":"Smith","given":"Samantha N.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952651,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDonald, Ashley M.","contributorId":364450,"corporation":false,"usgs":false,"family":"McDonald","given":"Ashley","middleInitial":"M.","affiliations":[{"id":48711,"text":"Dauphin Island Sea Lab","active":true,"usgs":false}],"preferred":false,"id":952652,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Charles W.","contributorId":364453,"corporation":false,"usgs":false,"family":"Martin","given":"Charles","middleInitial":"W.","affiliations":[{"id":48710,"text":"University of South Alabama","active":true,"usgs":false}],"preferred":false,"id":952653,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}