Pacific Coastal and Marine Science Center
U.S. Geological Survey
2885 Mission St.
Santa Cruz, CA 95060
Pacific Coastal and Marine Science Center
U.S. Geological Survey
2885 Mission St.
Santa Cruz, CA 95060
Florida’s Freshwater Fisheries Long-Term Monitoring Program was implemented in 2006 to track changes in freshwater fish populations and communities. As part of an evaluation of the program, this study used a simulation framework to assess trend detection for fish abundance and biomass indices and how sampling intensity (number of samples per year) and frequency (number of years) can influence detection of these trends.
Using count and weight data from fall electrofishing samples collected between 2006 and 2021 from 21 lakes, trends were simulated for annual mean count and weight over a 10-year period that ranged from −70% to +200%. In all, simulations were performed for seven game fish species and three management-relevant groups (large nongame, nonnative, and prey species). For sampling intensity, data were simulated with a range of sample sizes, from 10 to 40 electrofishing transects or the maximum number available for a given lake. For sampling frequency, data were simulated for different sampling schedules that included sampling 1 year followed by 1- or 2-year breaks (4–5 years of sampling in a 10-year period), sampling two consecutive years followed by 1- or 2-year breaks (6–7 years of sampling in a 10-year period), and sampling the first 5 years only.
Simulations based on weight and count data yielded similar results, but the effect of sampling frequency and sampling schedule varied by species, management group, and lake. Trend detection was lower and more variable when mean counts and weights of fish in electrofishing samples were low. Overall, at least a 60% increase or 40% decrease over a 10-year period was typically needed for trends in mean weight and count to be detected at least 80% of the time in at least half of the lakes. Increasing sampling intensity did not substantially improve trend detection for lower-magnitude changes, but reducing sample intensity to a minimum of 10 electrofishing transects per year would have a large negative effect on trend detection in almost all lakes. Detection of trends improved as the number of years sampled increased, but ideally, sampling should be spaced throughout the entire 10-year period to capture the full magnitude of change. Sampling every year generally resulted in better trend detection and for many species and groups was the only sampling schedule that resulted in all study lakes achieving the 80% target detection level. Of the alternative schedules considered, those involving 2 years of consecutive sampling outperformed those with only 1 year of sampling followed by a 1- or 2-year break.
Relatively large changes in mean count and weight were required to detect trends over a 10-year period, but there was no clear advantage of using count or weight data for monitoring purposes. Further, study results support the current sampling intensity, but trend detection is optimized at higher mean catch and weight values. Although sampling every year is ideal, an alternative schedule involving sampling two consecutive years with 1- or 2-year breaks could be considered in certain situations. These results will be important for informing future decisions regarding Florida’s Freshwater Fisheries Long-Term Monitoring Program and other monitoring initiatives.
Wind erosion and sediment transport continue to increase in many parts of the world, leading to decreased soil quality, accelerated snow-melt, respiratory diseases, and traffic accidents. The processes that control sediment transport are well understood at small scales of mm to m but are less well understood at larger scales of km to hundreds of km. Here we test four approaches aimed at improving the variance explained in sediment transport measured in a network of 52 horizontal sediment flux collecting devices located on the Colorado Plateau, USA. First, switching from a regression tree to random forest statistical analysis increased the variance in sediment transport explained from 58% to 91%. Soil moisture as a single variable explained 52% of variation in sediment flux, but had a negligible effect on a random forest model with season (Winter, Spring, Summer), wind speed, and seasonal total precipitation. Similarly, adding four years of new data to an existing five-year dataset or adding measurements of soil roughness and grazing failed to improve variance explained. By explaining 91% of the variance in sediment transport, our model provides baseline model for understanding sediment transport on the landscape scale. Dust flux networks in new regions would likely need to collect at least 300-500 samples to describe variation in sediment transport values using random forest analyses of the effects of season, wind speed, seasonal rain and vegetation type.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0333166","usgsCitation":"Kulmatiski, A., Ozturk, M., Bladen, K.K., Brahney, J., and Duniway, M.C., 2025, Season, wind speed, and seasonal rain are major drivers of a regional aeolian sediment transport model: PLoS ONE, v. 20, no. 9, e0333166, 15 p., https://doi.org/10.1371/journal.pone.0333166.","productDescription":"e0333166, 15 p.","ipdsId":"IP-175885","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498292,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0333166","text":"Publisher Index Page"},{"id":498100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","volume":"20","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Kulmatiski, Andrew","contributorId":210408,"corporation":false,"usgs":false,"family":"Kulmatiski","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":952968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ozturk, Mehmet mozturk@usgs.gov","contributorId":196300,"corporation":false,"usgs":false,"family":"Ozturk","given":"Mehmet","email":"mozturk@usgs.gov","affiliations":[],"preferred":false,"id":952969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bladen, Kelvyn K.","contributorId":364634,"corporation":false,"usgs":false,"family":"Bladen","given":"Kelvyn","middleInitial":"K.","affiliations":[{"id":86880,"text":"Department of Mathematics and Statistics, Utah State University, Logan, UT, USA","active":true,"usgs":false}],"preferred":false,"id":952970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brahney, Janice","contributorId":269810,"corporation":false,"usgs":false,"family":"Brahney","given":"Janice","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":952971,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":219284,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952972,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272627,"text":"70272627 - 2025 - Tapwater-contaminant mixtures and risk in a biofuel-facility impacted private-well community","interactions":[],"lastModifiedDate":"2025-11-26T14:21:13.043317","indexId":"70272627","displayToPublicDate":"2025-09-26T08:14:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13794,"text":"Environmental Science: Water Research and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Tapwater-contaminant mixtures and risk in a biofuel-facility impacted private-well community","docAbstract":"We assessed private-well drinking water (DW) at the point of use (i.e., tapwater, TW) within a rural Nebraska community around a state-closed biofuel facility, which used pesticide-treated corn seed as feedstock for ethanol production. Organic (485), inorganic (34), and microbial (13) analytes were assessed at 15 locations in June 2022, to evaluate the relative contribution of facility-consistent pesticides (seed-treatment fungicides and insecticides) to overall TW-contaminant exposures and predicted human-health risks. Thirty-three organics (12 pesticides) and 28 inorganics were detected, the former including the fungicide sedaxane, insecticide chlorantraniliprole, and multiple neonicotinoid insecticides/degradates, all consistent with seed treatment and respective biofuel-facility waste. Assessment of pesticides only at extant point-of-use (POU) treatment taps at three sites demonstrated complete elimination of all TW-pesticide detections. Based on detection of maximum pesticide concentrations in a home located downstream along a creek capturing facility runoff, pesticides only were assessed in January 2023 again at this home and at three adjacent locations, confirming results at the former and documenting decreasing TW-pesticide concentrations, including neonicotinoids, with increasing distance from the creek. Human-health DW benchmarks are not available for many detected pesticides, including the detected fungicide and insecticides, but precautionary screening levels were exceeded frequently due to multiple inorganics. The results indicate that exposures to multiple (median: 4.5; range: 1–7) co-occurring TW contaminants of potential human-health concern are common, warranting consideration of point-of-entry or POU treatment(s) throughout the community to reduce or eliminate unrecognized exposures to TW contaminants, including facility-associated pesticides in down-gradient locations. More broadly, results emphasize the importance of continued characterization of private-TW exposures, employing a environmentally informative analytical scope, to identify and mitigate risks of unrecognized exposures in private-well-dependent rural communities.
","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/d5ew00490j","usgsCitation":"Bradley, P., Meppelink, S.M., Romanok, K., Schreiner, M., Smalling, K., Bartelt-Hunt, S.L., Densmore, B., Gordon, S.E., Loftin, K., McCleskey, R., Rogan, E.G., Rus, D., and Snow, D.D., 2025, Tapwater-contaminant mixtures and risk in a biofuel-facility impacted private-well community: Environmental Science: Water Research and Technology, v. 11, p. 2572-2594, https://doi.org/10.1039/d5ew00490j.","productDescription":"23 p.","startPage":"2572","endPage":"2594","ipdsId":"IP-178170","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":496935,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1039/d5ew00490j","text":"Publisher Index Page"},{"id":496898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Blaine 0000-0002-2521-8052","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":205663,"corporation":false,"usgs":true,"family":"McCleskey","given":"R. Blaine","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":951033,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rogan, Eleanor G. 0000-0002-6260-4390","orcid":"https://orcid.org/0000-0002-6260-4390","contributorId":363054,"corporation":false,"usgs":false,"family":"Rogan","given":"Eleanor","middleInitial":"G.","affiliations":[{"id":86603,"text":"University of Nebraska Medical Center","active":true,"usgs":false}],"preferred":false,"id":951034,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rus, David L. 0000-0003-3538-7826","orcid":"https://orcid.org/0000-0003-3538-7826","contributorId":208516,"corporation":false,"usgs":true,"family":"Rus","given":"David L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951035,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Snow, Daniel D. 0000-0003-0885-0504","orcid":"https://orcid.org/0000-0003-0885-0504","contributorId":363055,"corporation":false,"usgs":false,"family":"Snow","given":"Daniel","middleInitial":"D.","affiliations":[{"id":16587,"text":"University of Nebraska Lincoln","active":true,"usgs":false}],"preferred":false,"id":951036,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70272222,"text":"70272222 - 2025 - Rising sea level reduces carbon sequestration and CO2 and N2O fluxes while promoting CH4 flux from mangroves","interactions":[],"lastModifiedDate":"2025-11-20T14:16:52.630755","indexId":"70272222","displayToPublicDate":"2025-09-26T08:02:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21644,"text":"Cell Reports Sustainability","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rising sea level reduces carbon sequestration and CO2 and N2O fluxes while promoting CH4 flux from mangroves","title":"Rising sea level reduces carbon sequestration and CO2 and N2O fluxes while promoting CH4 flux from mangroves","docAbstract":"Sea-level rise (SLR) may reduce mangrove carbon sequestration by increasing greenhouse gas (GHG) emissions—a key factor in forecasting the trajectory of blue carbon reserves. Nonetheless, predictions of future GHG fluxes under SLR remain uncertain. Unlike prior studies limited to controlled or single-site settings, we deploy cross-latitude “marsh-organ” designs in China to access GHG fluxes in mangroves and neighboring mudflats. Our findings show that SLR-stimulated CH4 emissions in mangroves could increase by 10% under RCP 4.5 and by 22% under RCP 8.5, relative to current sea level by 2100. Conversely, SLR decreases ecosystem respiration and N2O emissions by 35%–51% and 28%–36%, respectively, while net ecosystem productivity decreases by 12%–28% as SLR increases. Overall, our results forecast a 17%–30% decline in mangroves’ climate mitigation efficiency. We recommend focusing on non-CO2 GHG emissions from mangroves, as they may significantly offset climate mitigation capacity under climate change.
","language":"English","publisher":"CellPress","doi":"10.1016/j.crsus.2025.100520","usgsCitation":"Qiao, P., Chen, L., Krauss, K.W., Guo, X., Xu, L., Gu, X., and Dong, Y., 2025, Rising sea level reduces carbon sequestration and CO2 and N2O fluxes while promoting CH4 flux from mangroves: Cell Reports Sustainability, v. 2, no. 9, 100520, 14 p., https://doi.org/10.1016/j.crsus.2025.100520.","productDescription":"100520, 14 p.","ipdsId":"IP-161820","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":496740,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.crsus.2025.100520","text":"Publisher Index Page"},{"id":496627,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 80.57015756499158,\n 48.27012766647769\n ],\n [\n 75.42230729961719,\n 38.90640011346567\n ],\n [\n 81.13428892410838,\n 29.300749868715243\n ],\n [\n 97.2975108439603,\n 27.85568804464836\n ],\n [\n 96.34901460778869,\n 24.676885661757105\n ],\n [\n 100.11949002967802,\n 22.993015680009208\n ],\n [\n 114.32150013829988,\n 19.304266946071124\n ],\n [\n 122.53523908803231,\n 28.098180971448855\n ],\n [\n 126.06169784553734,\n 39.5634605005496\n ],\n [\n 134.67921396551895,\n 48.27720376673415\n ],\n [\n 129.04027802119387,\n 48.62328251469675\n ],\n [\n 125.11529031342536,\n 53.24939424723944\n ],\n [\n 118.16530899949154,\n 50.60211817144479\n ],\n [\n 116.5584041747958,\n 47.43180361776413\n ],\n [\n 80.57015756499158,\n 48.27012766647769\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Qiao, Peiyang","contributorId":303861,"corporation":false,"usgs":false,"family":"Qiao","given":"Peiyang","email":"","affiliations":[{"id":47617,"text":"Xiamen University, China","active":true,"usgs":false}],"preferred":false,"id":950482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Luzhen","contributorId":194706,"corporation":false,"usgs":false,"family":"Chen","given":"Luzhen","email":"","affiliations":[],"preferred":false,"id":950483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krauss, Ken W. 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":205144,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","middleInitial":"W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":950484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guo, Xudong","contributorId":362441,"corporation":false,"usgs":false,"family":"Guo","given":"Xudong","affiliations":[{"id":63579,"text":"Xiamen University","active":true,"usgs":false}],"preferred":false,"id":950485,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xu, Lian","contributorId":210946,"corporation":false,"usgs":false,"family":"Xu","given":"Lian","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":950486,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gu, Xiaoxuan","contributorId":296950,"corporation":false,"usgs":false,"family":"Gu","given":"Xiaoxuan","email":"","affiliations":[{"id":64251,"text":"College of the Environment and Ecology, Xiamen University","active":true,"usgs":false}],"preferred":false,"id":950487,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dong, Ying","contributorId":362442,"corporation":false,"usgs":false,"family":"Dong","given":"Ying","affiliations":[{"id":63579,"text":"Xiamen University","active":true,"usgs":false}],"preferred":false,"id":950488,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70271978,"text":"70271978 - 2025 - Validation of gridded precipitation datasets for flood-typing in select conterminous U.S. basins","interactions":[],"lastModifiedDate":"2025-09-29T15:03:21.41738","indexId":"70271978","displayToPublicDate":"2025-09-26T07:58:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2341,"text":"Journal of Hydrologic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Validation of gridded precipitation datasets for flood-typing in select conterminous U.S. basins","docAbstract":"Gridded precipitation datasets are required for flood-typing historical annual peak streamflow events in basins across the Conterminous United States. Selected gridded precipitation datasets were validated over the period 1981–2013 through comparisons with gage data from the NOAA Global Historical Climatology Network daily (GHCNd). The ability of each gridded dataset to capture the spatiotemporal characteristics of daily precipitation, including multi-day extremes over six selected regions, was assessed using the Kling-Gupta Efficiency metric and its component statistics. Overall, the Parameter-elevation Regression on Independent Slopes Model and Livneh-unsplit were found to best match the spatiotemporal variability of the GHCNd precipitation data, including extremes. The Analysis of Record for Calibration was found to be the third best-performing dataset in most regions except in the western U.S. The performance of reanalysis datasets evaluated appears to be poor compared to gage-based datasets. The reanalysis datasets might not be able to skillfully capture precipitation amounts at the correct location and time. Gage- and radar-based datasets were found to have relatively small biases (within +/-10% on an annual basis), while reanalysis datasets were found to have larger positive apparent biases, especially in winter and spring in most regions. It is possible that the apparent overestimation of winter and spring precipitation in the reanalysis datasets might reflect snow undercatch at gages especially in the central U.S. An overall deterioration of performance for correlation and/or variability was also observed for the summer season compared to other seasons in the reanalysis datasets. Various precipitation datasets might need to be used for flood-typing during different periods from the late 19th century to present. Datasets from different sources have different biases and errors and might have to be homogenized using downscaling and bias-adjustment methods. 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Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying landscape-level biodiversity change in an island ecosystem: A 50-year assessment of shifts in the Hawaiian avian community","docAbstract":"Hawaii has experienced profound declines in native avifauna alongside the introduction of numerous bird species. While site-specific population studies are common, landscape-level analyses of avian population dynamics are rare, particularly in island ecosystems. To address this gap, we used a density surface model to create a spatio-temporal projection of population densities and distributions across the Island of Hawai‘i, spanning nearly five decades (1976–2023). We incorporated environmental covariates of habitat, precipitation, and elevation, to further refine our projections. Our analysis encompassed nine native and six non-native bird species, inhabiting a range of ecological niches. We found five out of nine native species have declined in density and range size while four were stable. For non-native species, two were stable, one was decreasing, and three were increasing in density and range size. Our landscape projections can inform management by suggesting areas critical for habitat preservation and land acquisition for conservation, identifying where range fragmentation is occurring, and pinpointing locations of multi-species declines that are likely driven by a common cause. Our study demonstrates how long-term, landscape-level monitoring and analyses can advance understanding and addressing biodiversity loss, particularly in vulnerable tropical island ecosystems.
","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/ecog.07907","usgsCitation":"Bak, T., Fortini, L., Hunt, N., Banko, P.C., Schnell, L., and Camp, R.J., 2025, Quantifying landscape-level biodiversity change in an island ecosystem: A 50-year assessment of shifts in the Hawaiian avian community: Ecography, v. 2025, no. 11, e07907, 18 p., https://doi.org/10.1002/ecog.07907.","productDescription":"e07907, 18 p.","ipdsId":"IP-177022","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":496739,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecog.07907","text":"Publisher Index Page"},{"id":496624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.31156357630775,\n 20.24770610218596\n ],\n [\n -156.31156357630775,\n 18.872624778542928\n ],\n [\n -154.63317186924985,\n 18.872624778542928\n ],\n [\n -154.63317186924985,\n 20.24770610218596\n ],\n [\n -156.31156357630775,\n 20.24770610218596\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2025","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bak, Trevor","contributorId":292157,"corporation":false,"usgs":false,"family":"Bak","given":"Trevor","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":950519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":950520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Noah","contributorId":355564,"corporation":false,"usgs":false,"family":"Hunt","given":"Noah","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":950521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":950522,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schnell, Lena","contributorId":362454,"corporation":false,"usgs":false,"family":"Schnell","given":"Lena","affiliations":[{"id":86531,"text":"Center for the Environmental Management of Military Lands, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":950523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":950524,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272023,"text":"70272023 - 2025 - Unveiling coseismic deformation from differenced legacy aerial photography and modern lidar topography: The 1983 M6.9 Borah Peak earthquake, Idaho, USA","interactions":[],"lastModifiedDate":"2025-11-13T16:55:22.485744","indexId":"70272023","displayToPublicDate":"2025-09-25T10:48:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Unveiling coseismic deformation from differenced legacy aerial photography and modern lidar topography: The 1983 M6.9 Borah Peak earthquake, Idaho, USA","docAbstract":"The 1983 M6.9 Borah Peak, Idaho, earthquake is one of the largest historical normal fault earthquakes in the western United States. We quantified meter-scale vertical change along the 35 km-long rupture using topographic differencing of 1966 aerial imagery and 2019 lidar-derived data. The initial differencing results are largely obscured by horizontal and vertical georeferencing errors and flight-line stripes. Our error corrections are designed to be insensitive to the coseismic deformation and reduced error by 50%. We calculated vertical separation and resolved a maximum of 2.02 ± 0.46 m at Doublespring Pass. Our vertical separation measurements are generally consistent with those from prior studies using field data and post-earthquake topographic data. However, the differencing measurements are a few decimeters lower than these prior measurements, indicating that differencing can isolate historical from prehistoric earthquake deformation. Our study demonstrates that revisiting historical earthquakes can provide new insights into the magnitude and patterns of coseismic deformation.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL115882","usgsCitation":"Scott, C.P., Reitman, N.G., and Bello, S., 2025, Unveiling coseismic deformation from differenced legacy aerial photography and modern lidar topography: The 1983 M6.9 Borah Peak earthquake, Idaho, USA: Geophysical Research Letters, v. 52, no. 18, e2025GL115882, 12 p., https://doi.org/10.1029/2025GL115882.","productDescription":"e2025GL115882, 12 p.","ipdsId":"IP-177417","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":496426,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl115882","text":"Publisher Index Page"},{"id":496410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Borah Peak","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.1667,\n 44.25\n ],\n [\n -114.1667,\n 44\n ],\n [\n -113.667,\n 44\n ],\n [\n -113.667,\n 44.25\n ],\n [\n -114.1667,\n 44.25\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"18","noUsgsAuthors":false,"publicationDate":"2025-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Scott, Chelsea P 0000-0002-3884-4693","orcid":"https://orcid.org/0000-0002-3884-4693","contributorId":248847,"corporation":false,"usgs":false,"family":"Scott","given":"Chelsea","email":"","middleInitial":"P","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":949752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":949753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bello, Simone","contributorId":360174,"corporation":false,"usgs":false,"family":"Bello","given":"Simone","affiliations":[{"id":85980,"text":"3Department of Sciences, University G. d’Annunzio Chieti-Pescara, 66100, Chieti, Italy","active":true,"usgs":false}],"preferred":false,"id":949754,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272020,"text":"70272020 - 2025 - Fiber-imaged supershear dynamics in the 2024 Mw 7 Mendocino Fault earthquake","interactions":[],"lastModifiedDate":"2025-11-13T16:44:30.12897","indexId":"70272020","displayToPublicDate":"2025-09-25T10:38:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Fiber-imaged supershear dynamics in the 2024 Mw 7 Mendocino Fault earthquake","docAbstract":"Fault structure and rupture physics are deeply intertwined, and observations of this coupling are critical for understanding earthquake behavior. Rupture propagation is observable at fine scales using dense seismic networks. Fiber-optic sensing allows for long-term deployments of ultradense arrays that enable high-resolution measurements of infrequent, large earthquakes. We recorded the 2024 moment magnitude (Mw) 7 Mendocino Fault earthquake with a nearby fiber-optic array and imaged its behavior with seismic beamforming. The rupture propagated to the east at subshear velocity; stagnated near the Mendocino Triple Junction, a zone of structural complexity; and subsequently transitioned to supershear velocity. The correlation between source physics and structure shows how lithospheric heterogeneity affects first-order characteristics of earthquake ruptures. Our results also demonstrate the potential for fiber-optic sensing to improve real-time estimation of key parameters for early warning.
","language":"English","publisher":"AAAS","doi":"10.1126/science.adx6858","usgsCitation":"Atterholt, J.W., McGuire, J.J., Barbour, A.J., Stewart, C., and Moschetti, M.P., 2025, Fiber-imaged supershear dynamics in the 2024 Mw 7 Mendocino Fault earthquake: Science, v. 389, no. 6767, p. 1361-1365, https://doi.org/10.1126/science.adx6858.","productDescription":"5 p.","startPage":"1361","endPage":"1365","ipdsId":"IP-178222","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":496407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mendocino Fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.75,\n 41.15\n ],\n [\n -126,\n 41.15\n ],\n [\n -126,\n 39.75\n ],\n [\n -123.75,\n 39.75\n ],\n [\n -123.75,\n 41.15\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"389","issue":"6767","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Atterholt, James William 0000-0003-1603-5518","orcid":"https://orcid.org/0000-0003-1603-5518","contributorId":361969,"corporation":false,"usgs":true,"family":"Atterholt","given":"James","middleInitial":"William","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":949742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":220939,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, Connie","contributorId":361970,"corporation":false,"usgs":false,"family":"Stewart","given":"Connie","affiliations":[{"id":65879,"text":"California State Polytechnic University, Humboldt","active":true,"usgs":false}],"preferred":false,"id":949745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":949746,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271972,"text":"70271972 - 2025 - Gas emissions from the Sulphur Bank Mercury Mine hydrothermal system, Clear Lake volcanic field, California","interactions":[],"lastModifiedDate":"2025-09-29T15:02:51.73324","indexId":"70271972","displayToPublicDate":"2025-09-25T09:57:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Gas emissions from the Sulphur Bank Mercury Mine hydrothermal system, Clear Lake volcanic field, California","docAbstract":"The Sulphur Bank Mercury Mine (SBMM) hydrothermal system offers insights into active degassing processes in the Clear Lake volcanic field (CLVF), a high-threat region based on its record of Holocene eruptions and proximity to populated areas. Here we present chemical and isotopic analyses of gas samples collected between 2015 and 2023, along with the first comprehensive CO2 flux survey of the SBMM area conducted in 2023. Sampled gases are CO2- and CH4-rich (≥84 and 6 mol% in dry gas, respectively) with high mantle-derived helium contributions (3He/4He = 6.54–7.86 RC/RA). Carbon isotopic compositions of CO2 (δ13C = −10.0 to −9.5 ‰) and CH4 (δ13C = −35.8 ‰) indicate mixed sources, with significant contributions from metamorphism of organic-rich Franciscan Complex rocks hosting the hydrothermal system. Modeling of gas compositions shows that scrubbing by interaction with air-saturated groundwater strongly influences observed compositional variability. From our CO₂ flux measurements, we estimate the deeply derived CO2 emission rate from the SBMM hydrothermal area (0.2 km2) at 240 t d−1, comparable to many quiescently degassing volcanoes worldwide. We also provide a first-order estimate of CH4 emissions at approximately 0.5 t d−1. Our findings establish crucial baseline data for future volcanic monitoring efforts, enhancing detection capabilities for potential changes in this active hydrothermal system. This work contributes to the broader understanding of volatile contributions from volcanic and metamorphic sources to the global carbon budget, while highlighting the strong influence of bedrock geology on gas compositions in the CLVF.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2025.108453","usgsCitation":"Lewicki, J.L., Peek, S., Clor, L., and Hunt, A.G., 2025, Gas emissions from the Sulphur Bank Mercury Mine hydrothermal system, Clear Lake volcanic field, California: Journal of Volcanology and Geothermal Research, v. 468, 108453, 11 p., https://doi.org/10.1016/j.jvolgeores.2025.108453.","productDescription":"108453, 11 p.","ipdsId":"IP-177603","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":496226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Clear Lake Volcanic Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.93378541824276,\n 39.13626270834021\n ],\n [\n -122.93378541824276,\n 38.65\n ],\n [\n -122.25,\n 38.65\n ],\n [\n -122.25,\n 39.13626270834021\n ],\n [\n -122.93378541824276,\n 39.13626270834021\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"468","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lewicki, Jennifer L. 0000-0003-1994-9104 jlewicki@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-9104","contributorId":5071,"corporation":false,"usgs":true,"family":"Lewicki","given":"Jennifer","email":"jlewicki@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":949539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peek, Sara 0000-0002-9770-6557","orcid":"https://orcid.org/0000-0002-9770-6557","contributorId":209971,"corporation":false,"usgs":true,"family":"Peek","given":"Sara","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":949540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clor, Laura E. 0000-0003-2633-5100","orcid":"https://orcid.org/0000-0003-2633-5100","contributorId":209969,"corporation":false,"usgs":true,"family":"Clor","given":"Laura E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":949541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":174135,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949542,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272174,"text":"70272174 - 2025 - Future forest conditions under alternative management and hydrological scenarios in the Upper Mississippi River floodplain","interactions":[],"lastModifiedDate":"2025-11-18T15:48:07.770771","indexId":"70272174","displayToPublicDate":"2025-09-25T09:44:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Future forest conditions under alternative management and hydrological scenarios in the Upper Mississippi River floodplain","docAbstract":"Floodplain forests are being transformed by multiple pressures, prompting widespread management and restoration efforts. It is uncertain how disturbances, including hydrologic change, and management actions will interact to influence the ecology of these threatened forests.
This study examined the effects of alternative management and hydrologic regimes on forest succession at an Upper Mississippi River floodplain site with a restoration project in planning.
We used the spatially explicit forest landscape model, LANDIS-II, to simulate forest succession for 100 years under four hydrogeomorphic management scenarios, three forest management scenarios, and two scenarios of future hydrologic conditions. We evaluated changes in forest biomass and composition over time and assessed the relative importance of management actions and hydrologic change on succession.
Forest aboveground biomass decreased in all management-hydrology scenarios, especially in the wetter hydrological scenario. Intensified hydrogeomorphic and forest management scenarios reduced the magnitude and extent of biomass declines; however, they were unable to prevent overall declines in biomass or cause large shifts in tree species composition. Silver maple (Acer saccharinum) was projected to decrease in biomass, while increases in biomass were projected for several late-successional species including swamp white oak (Quercus bicolor). Among the factors influencing variation in biomass, forest management had the largest influence in the first 50 years of our simulations, but hydrological regime became the most important factor by the end of the century.
Our simulations indicate that management actions could play an important role in the conservation of floodplain forests, but their effectiveness will likely be limited if recent upward trends in flooding conditions in this system continue in the future. Thus, our results highlight both the potential benefits and limitations of management actions in the face of hydrologic change.
","language":"English","publisher":"Springer","doi":"10.1007/s10980-025-02144-7","usgsCitation":"Trumper, M., De Jager, N.R., Van Appledorn, M., and Meier, A.R., 2025, Future forest conditions under alternative management and hydrological scenarios in the Upper Mississippi River floodplain: Landscape Ecology, v. 40, 186, 21 p., https://doi.org/10.1007/s10980-025-02144-7.","productDescription":"186, 21 p.","ipdsId":"IP-173189","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496735,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-025-02144-7","text":"Publisher Index Page"},{"id":496589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, Wisconsin","otherGeospatial":"Reno Bottoms study area, Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.39940329445804,\n 43.68624998546463\n ],\n [\n -91.39940329445804,\n 43.44291861394157\n ],\n [\n -91.13016274447915,\n 43.44291861394157\n ],\n [\n -91.13016274447915,\n 43.68624998546463\n ],\n [\n -91.39940329445804,\n 43.68624998546463\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","noUsgsAuthors":false,"publicationDate":"2025-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Trumper, Matthew L. 0000-0002-9881-7742","orcid":"https://orcid.org/0000-0002-9881-7742","contributorId":357508,"corporation":false,"usgs":true,"family":"Trumper","given":"Matthew","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meier, Andrew R.","contributorId":362320,"corporation":false,"usgs":false,"family":"Meier","given":"Andrew","middleInitial":"R.","affiliations":[{"id":16919,"text":"U.S. Army Corps of Engineers, St. Paul District","active":true,"usgs":false}],"preferred":false,"id":950316,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273314,"text":"70273314 - 2025 - Examining the compositional selectivity of hydrocarbon oxidation products using liquid–liquid extraction and solid-phase extraction techniques","interactions":[],"lastModifiedDate":"2026-01-06T15:11:50.945354","indexId":"70273314","displayToPublicDate":"2025-09-25T09:09:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Examining the compositional selectivity of hydrocarbon oxidation products using liquid–liquid extraction and solid-phase extraction techniques","docAbstract":"The effect of extraction methods on detecting hydrocarbon oxidation products (HOPs) in groundwater remains unclear. HOPs are polar, water-soluble byproducts of petroleum biodegradation. Our previous work showed that liquid–liquid extraction (LLE), a method commonly used in regulatory monitoring, has a significantly lower extraction efficiency for HOPs compared to solid-phase extraction (SPE). In this study, we evaluate the analytical limitations and compositional selectivity of LLE and SPE using groundwater samples from the Bemidji, MN, crude oil spill site. Optical properties were characterized using excitation–emission matrix spectroscopy (EEMs), and a three-component PARAFAC model was validated, showing consistent trends across both extracts and whole water samples. Ultrahigh-resolution mass spectrometry (UHR-MS) revealed that LLE selectively recovered aliphatic-like compounds but underrepresented more polar oxygenated HOPs. In contrast, SPE methods were more effective at isolating highly oxidized compound classes. These differences were consistent across a gradient of contamination. Overall, the LLE was less precise and less representative of polar HOPs, introducing bias in the characterization of HOPs. This study is the first to quantitatively demonstrate the compositional selectivity and analytical bias of LLE versus SPE for HOPs using combined EEM-PARAFAC and UHR-MS techniques, with implications for long-term monitoring and site assessment protocols.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c07016","usgsCitation":"Zito, P., Ghannam, R., Harsha, M.L., Bekins, B., and Podgorski, D.C., 2025, Examining the compositional selectivity of hydrocarbon oxidation products using liquid–liquid extraction and solid-phase extraction techniques: Environmental Science and Technology, v. 59, p. 21324-21331, https://doi.org/10.1021/acs.est.5c07016.","productDescription":"8 p.","startPage":"21324","endPage":"21331","ipdsId":"IP-182330","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":498348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","noUsgsAuthors":false,"publicationDate":"2025-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Zito, Phoebe","contributorId":206101,"corporation":false,"usgs":false,"family":"Zito","given":"Phoebe","email":"","affiliations":[{"id":37245,"text":"University of New Orleans","active":true,"usgs":false}],"preferred":false,"id":953299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghannam, Rana","contributorId":220750,"corporation":false,"usgs":false,"family":"Ghannam","given":"Rana","email":"","affiliations":[{"id":37245,"text":"University of New Orleans","active":true,"usgs":false}],"preferred":false,"id":953300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harsha, Maxwell L.","contributorId":364842,"corporation":false,"usgs":false,"family":"Harsha","given":"Maxwell","middleInitial":"L.","affiliations":[{"id":37245,"text":"University of New Orleans","active":true,"usgs":false}],"preferred":false,"id":953301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bekins, Barbara 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":139407,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":953302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Podgorski, David C.","contributorId":178153,"corporation":false,"usgs":false,"family":"Podgorski","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":953303,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272041,"text":"70272041 - 2025 - Quantifying groundwater response and uncertainty in beaver-influenced mountainous floodplains using machine learning-based model calibration","interactions":[],"lastModifiedDate":"2025-11-14T15:42:24.888398","indexId":"70272041","displayToPublicDate":"2025-09-25T08:36:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying groundwater response and uncertainty in beaver-influenced mountainous floodplains using machine learning-based model calibration","docAbstract":"Beavers (Castor canadensis) alter river corridor hydrology by creating ponds and inundating floodplains, and thereby improving surface water storage. However, the impact of inundation on groundwater, particularly in mountainous alluvial floodplains with permeable gravel/cobble layers overlain by a soil layer, remains uncertain. Numerical modeling across various floodplain structures considers topographic and sediment complexity and multidirectional flow, linking inundation to groundwater response. This study develops a model-data integration workflow to address uncertainty in groundwater response to beaver-induced inundations in a mountainous alluvial floodplain in the Upper Colorado River Basin. Uncertain factors include seasonal hydrologic dynamics, hydraulic conductivities, floodplain structures, and meteorological forcings. We employed an ensemble of groundwater models, based on geophysical and hydrologic data, with machine learning-based calibration using a neural density estimator. This allowed us to quantify the vertical flux from the soil layer to the permeable gravel bed, the down-valley underflow within the gravel bed, and their ratios. Results show a significant increase in the vertical flux relative to down-valley underflow, from 2% during dry pond periods to 20% during wet periods, serving as an analogy for conditions without and with beaver ponds. The study highlights the influence of floodplain structure on groundwater storage, water balance, and water quality impacted by beaver ponds. A thick gravel bed layer, with a large down-valley underflow, minimizes the effect of beaver-induced inundation on water quality. We emphasize the need for field-scale measurements of floodplain structure and improved characterization of evapotranspiration changes to reduce uncertainty in groundwater response.
","language":"English","publisher":"Wiley","doi":"10.1029/2024WR039192","usgsCitation":"Wang, L., Babey, T., Perzan, Z., Pierce, S., Briggs, M., Boye, K., and Maher, K., 2025, Quantifying groundwater response and uncertainty in beaver-influenced mountainous floodplains using machine learning-based model calibration: Water Resources Research, v. 61, no. 9, e2024WR039192, 28 p., https://doi.org/10.1029/2024WR039192.","productDescription":"e2024WR039192, 28 p.","ipdsId":"IP-175143","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":496711,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr039192","text":"Publisher Index Page"},{"id":496487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Crested Butte","otherGeospatial":"Oh‐Be‐Joyful Creek‐Slate River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.04714288137164,\n 38.91446258506133\n ],\n [\n -107.04714288137164,\n 38.87739197906146\n ],\n [\n -106.97879177179699,\n 38.87739197906146\n ],\n [\n -106.97879177179699,\n 38.91446258506133\n ],\n [\n -107.04714288137164,\n 38.91446258506133\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"61","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Lijing","contributorId":258127,"corporation":false,"usgs":false,"family":"Wang","given":"Lijing","email":"","affiliations":[],"preferred":false,"id":949830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Babey, Tristan 0000-0002-6897-3162","orcid":"https://orcid.org/0000-0002-6897-3162","contributorId":215172,"corporation":false,"usgs":false,"family":"Babey","given":"Tristan","email":"","affiliations":[{"id":39190,"text":"Université de Rennes","active":true,"usgs":false}],"preferred":false,"id":949831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perzan, Zach","contributorId":362023,"corporation":false,"usgs":false,"family":"Perzan","given":"Zach","affiliations":[{"id":40182,"text":"University of Nevada Las Vegas","active":true,"usgs":false}],"preferred":false,"id":949832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pierce, Samuel","contributorId":245448,"corporation":false,"usgs":false,"family":"Pierce","given":"Samuel","email":"","affiliations":[{"id":36408,"text":"SLAC National Accelerator Laboratory","active":true,"usgs":false}],"preferred":false,"id":949833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222756,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":949834,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boye, Kristin","contributorId":219255,"corporation":false,"usgs":false,"family":"Boye","given":"Kristin","email":"","affiliations":[{"id":39977,"text":"Stanford Synchrotron Radiation Lightsource (SSRL)","active":true,"usgs":false}],"preferred":false,"id":949835,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maher, Kate","contributorId":245461,"corporation":false,"usgs":false,"family":"Maher","given":"Kate","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":949836,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272177,"text":"70272177 - 2025 - Quantifying the relative importance of survival threats to a long-lived reptile using expert elicitation","interactions":[],"lastModifiedDate":"2025-11-18T15:36:19.719392","indexId":"70272177","displayToPublicDate":"2025-09-25T08:31:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the relative importance of survival threats to a long-lived reptile using expert elicitation","docAbstract":"Long-term survival of a conservation-reliant species requires understanding the impact of threats on population growth rate and the management actions that can help mitigate these threats. We used a threat assessment with expert-elicited estimates to determine the relative effect of each stage-specific threat on the population growth rate of the wood turtle Glyptemys insculpta. In addition, we offered potential management actions that could mitigate these threats and examined the relative cost and benefit of each. The experts responded that predators had the largest effect on hatchling and juvenile survival and that road mortality had the largest effect on adult survival. The population growth rate of the simulated turtle population increased the most when predators were removed from the system, though the population trajectory remained negative. Finally, we found that predator control had the lowest cost:benefit ratio of the proposed management actions. The process used in this analysis of expert elicitation combined with modeling that accounts for uncertainty proved to be a useful technique that is less expensive and labor intensive than empirical studies and quicker to implement, although it relies on sufficient empirical studies to inform expert responses. This process could be replicated for other species to inform species status assessments.
","language":"English","publisher":"Inter-Research","doi":"10.3354/esr01440","usgsCitation":"Moore, J.F., Waddle, J., Johnson, F., Martin, J., Campbell Grant, E.H., Fleming, J., Akre, T.S., Brown, D.J., Lee, Y.M., Drescher-Lehman, J., Kleopfer, J., Meck, J.R., Oxenrider, K.J., Tamplin, J., Tur, A., and Willey, L.L., 2025, Quantifying the relative importance of survival threats to a long-lived reptile using expert elicitation: Endangered Species Research, v. 58, p. 147-158, https://doi.org/10.3354/esr01440.","productDescription":"12 p.","startPage":"147","endPage":"158","ipdsId":"IP-175948","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":496733,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01440","text":"Publisher Index Page"},{"id":496586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.91069443033376,\n 51.71991684948924\n ],\n [\n -87.46840925695676,\n 30.654184225800563\n ],\n [\n -80.05412909012534,\n 24.273039753316198\n ],\n [\n -60.11143954864117,\n 49.272877271756016\n ],\n [\n -73.91069443033376,\n 51.71991684948924\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"58","noUsgsAuthors":false,"publicationDate":"2025-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Jennifer F.","contributorId":362323,"corporation":false,"usgs":false,"family":"Moore","given":"Jennifer","middleInitial":"F.","affiliations":[{"id":86505,"text":"Moore Ecological Analysis and Management","active":true,"usgs":false}],"preferred":false,"id":950317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":215911,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":950318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Fred","contributorId":295463,"corporation":false,"usgs":false,"family":"Johnson","given":"Fred","affiliations":[{"id":6963,"text":"Department of Bioscience, Aarhus University","active":true,"usgs":false}],"preferred":false,"id":950319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":213876,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":950320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950321,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fleming, Jillian E. 0000-0003-2570-914X","orcid":"https://orcid.org/0000-0003-2570-914X","contributorId":352270,"corporation":false,"usgs":false,"family":"Fleming","given":"Jillian E.","affiliations":[{"id":84147,"text":"Former USGS employee, USGS Eastern Ecological Science Center","active":true,"usgs":false}],"preferred":false,"id":950322,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Akre, Thomas S.","contributorId":362324,"corporation":false,"usgs":false,"family":"Akre","given":"Thomas","middleInitial":"S.","affiliations":[{"id":86506,"text":"Smithsonian National Zoo and Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":950323,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brown, Donald J.","contributorId":362325,"corporation":false,"usgs":false,"family":"Brown","given":"Donald","middleInitial":"J.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":950324,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lee, Yu Man","contributorId":362326,"corporation":false,"usgs":false,"family":"Lee","given":"Yu","middleInitial":"Man","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":950325,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Drescher-Lehman, Jonathon","contributorId":362327,"corporation":false,"usgs":false,"family":"Drescher-Lehman","given":"Jonathon","affiliations":[{"id":86506,"text":"Smithsonian National Zoo and Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":950326,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kleopfer, John","contributorId":362328,"corporation":false,"usgs":false,"family":"Kleopfer","given":"John","affiliations":[{"id":56188,"text":"Virginia Department of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":950327,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Meck, Jessica R.","contributorId":272551,"corporation":false,"usgs":false,"family":"Meck","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":37784,"text":"Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":950328,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Oxenrider, Kevin J.","contributorId":244034,"corporation":false,"usgs":false,"family":"Oxenrider","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":40299,"text":"West Virginia Division of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":950329,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tamplin, Jeff","contributorId":362329,"corporation":false,"usgs":false,"family":"Tamplin","given":"Jeff","affiliations":[{"id":34268,"text":"University of Northern Iowa","active":true,"usgs":false}],"preferred":false,"id":950330,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tur, Anthony","contributorId":348610,"corporation":false,"usgs":false,"family":"Tur","given":"Anthony","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":950331,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Willey, Lisabeth L.","contributorId":272552,"corporation":false,"usgs":false,"family":"Willey","given":"Lisabeth","email":"","middleInitial":"L.","affiliations":[{"id":56384,"text":"Antioch University New England","active":true,"usgs":false}],"preferred":false,"id":950332,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70271963,"text":"70271963 - 2025 - Identifying organic contaminants at trespass cannabis grows on federal land in California, USA","interactions":[],"lastModifiedDate":"2025-09-26T15:27:56.505482","indexId":"70271963","displayToPublicDate":"2025-09-25T08:18:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Identifying organic contaminants at trespass cannabis grows on federal land in California, USA","docAbstract":"Despite the legalization of recreational cannabis in California, USA, illegal cannabis cultivation remains pervasive, partly through the establishment of illegal cultivation on public lands (trespass grows). These operations often illegally divert water for irrigation and perform unauthorized applications of chemical fertilizers and pesticides. This work investigates a broad suite of these chemicals, focusing on their persistence in topsoil and presence in water and bed sediment in adjacent streams. Quantitative analyses of pesticides were conducted (183 compounds in water; 176 in topsoil/bed sediment), supplemented by qualitative nontargeted screening at three trespass grows that had no active cultivation for 8 months to 2 years. Targeted multi-residue analysis of topsoil detected the insecticides bifenthrin, cyfluthrin, malathion and imidacloprid (with concentrations up to 38 ng/g dry weight, d.w.), and the fungicides fluopyram, myclobutanil, and triadimefon (concentrations up to 8.1 ng/g d.w.). No pesticides were detected in the companion water or streambed sediment samples from adjacent streams. In addition, no water samples were found to have measurable estrogenic activity. Nontargeted screening uncovered additional pesticides (i.e., spiromesifen, trinexapac) in the topsoil and cannabis-related compounds (i.e., cannabidol, delta9-tetrahydrocannabinol) in both topsoil and streambed sediment suggesting the likelihood of offsite transport of cannabis related compounds. Phthalate plasticizers, rubber-related compounds, pharmaceuticals and personal care product chemicals were detected in topsoil, water, and streambed sediment and may be related to extensive irrigation infrastructure installed at these trespass grows. This work begins to establish a contaminant profile associated with illegal cannabis growing activities, providing a foundation for future research focused on their potential ecological impacts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.180576","usgsCitation":"Black, G.P., De Parsia, M., Uychutin, M., Gabriel, M.W., Medel, I., Wengert, G., Raines, C.D., Kolpin, D., Hubbard, L.E., and Hladik, M.L., 2025, Identifying organic contaminants at trespass cannabis grows on federal land in California, USA: Science of the Total Environment, v. 1002, 180576, 11 p., https://doi.org/10.1016/j.scitotenv.2025.180576.","productDescription":"180576, 11 p.","ipdsId":"IP-178116","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":496198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Bernardino National Forest, Six Rivers National Forest, Shasta-Trinity National 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Greta","contributorId":219013,"corporation":false,"usgs":false,"family":"Wengert","given":"Greta","email":"","affiliations":[{"id":27598,"text":"Integral Ecology Research Center","active":true,"usgs":false}],"preferred":false,"id":949508,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raines, Clayton D. 0000-0002-0403-190X","orcid":"https://orcid.org/0000-0002-0403-190X","contributorId":296362,"corporation":false,"usgs":true,"family":"Raines","given":"Clayton","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":949509,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949510,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949511,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":203857,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water 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Understanding the host preferences of non-native polyphagous insects is a key step in anticipating their impacts.
2. We apply a technique from wildlife ecology, a resource selection function, to quantify the host preferences of Acalolepta aesthetica Olliff (Coleoptera: Cerambycidae: Lamiinae) in its non-native range on the Island of Hawaiʻi. We then visually surveyed its preferred host to map its distributional extent and conducted laboratory no-choice tests to assess risks to common native woody species.
3. The preferred host of A. aesthetica was the state tree, Aleurites moluccanus (L.) Willd., the kukui (or candlenut). Cacao (Theobroma cacao L.) was the second most preferred host. Infestations were also observed in Citrus species, Artocarpus altilis (Parkinson) Fosberg (ʻulu or breadfruit) and Persea americana Mill. (avocado), but preferences among these taxa were statistically indistinguishable.
4. Acalolepta aesthetica females oviposited on all tested species in no-choice trials, but larvae growing within ʻōhiʻa (Metrosideros polymorpha Gaudich.) and koa (Acacia koa A. Gray) died. It therefore poses a low risk to these two tree species, which are foundational to Hawaiian native forests. Acalolepta aesthetica was able to complete its development within ʻōlapa (Cheirodendron trigynum (Gaudich.) A. Heller), which could be monitored if the distribution of A. aesthetica spreads to native forests.
5. The host species preferred by A. aesthetica are highly valued for agricultural, horticultural and cultural uses. Developing monitoring and management techniques for this cerambycid and employing strong biosecurity could prevent human-mediated spread and limit negative impacts to other Hawaiian Islands, the U.S. mainland, and the world.
","language":"English","publisher":"Royal Entomological Society","doi":"10.1111/afe.70015","usgsCitation":"Sofaer, H.R., Miles, B.J., Zarders, J.A., Dunkle, E.J., Corpuz, R.L., Sim, S.B., and Peck, R., 2025, Host preferences of non-native Acalolepta aesthetica (Coleoptera: Cerambycidae) on the Island of Hawai'i: Agricultural and Forest Entomology, v. 28, no. 2, p. 149-159, https://doi.org/10.1111/afe.70015.","productDescription":"11 p.","startPage":"149","endPage":"159","ipdsId":"IP-179188","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":504162,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/afe.70015","text":"Publisher Index Page"},{"id":504064,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13TORTW","text":"USGS data release","linkHelpText":"Island of Hawai'i, Host preferences of Acalolepta aesthetica 2020-2023"},{"id":503887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.30296879889656,\n 20.347299888968195\n ],\n [\n -156.30296879889656,\n 18.869112084175327\n ],\n [\n -154.64742202752439,\n 18.869112084175327\n ],\n [\n -154.64742202752439,\n 20.347299888968195\n ],\n [\n -156.30296879889656,\n 20.347299888968195\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Sofaer, Helen R. 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":960778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miles, Blake J.","contributorId":370800,"corporation":false,"usgs":false,"family":"Miles","given":"Blake","middleInitial":"J.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":960779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zarders, Jorden A.","contributorId":359912,"corporation":false,"usgs":false,"family":"Zarders","given":"Jorden","middleInitial":"A.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":960780,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunkle, Ellen J. 0000-0002-7081-0717","orcid":"https://orcid.org/0000-0002-7081-0717","contributorId":244898,"corporation":false,"usgs":false,"family":"Dunkle","given":"Ellen","middleInitial":"J.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":960781,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corpuz, Renee L.","contributorId":318229,"corporation":false,"usgs":false,"family":"Corpuz","given":"Renee","email":"","middleInitial":"L.","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":960782,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sim, Sheina B.","contributorId":370801,"corporation":false,"usgs":false,"family":"Sim","given":"Sheina","middleInitial":"B.","affiliations":[{"id":18168,"text":"USDA ARS","active":true,"usgs":false}],"preferred":false,"id":960783,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peck, Robert W. 0000-0002-8739-9493","orcid":"https://orcid.org/0000-0002-8739-9493","contributorId":193088,"corporation":false,"usgs":false,"family":"Peck","given":"Robert W.","affiliations":[],"preferred":false,"id":960784,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273990,"text":"70273990 - 2025 - Irrigated agriculture influences selenium levels in an endangered marsh bird","interactions":[],"lastModifiedDate":"2026-02-20T22:07:02.702346","indexId":"70273990","displayToPublicDate":"2025-09-24T15:02:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Irrigated agriculture influences selenium levels in an endangered marsh bird","docAbstract":"Selenium bioaccumulation in aquatic food webs poses risks to wildlife, particularly in wetlands receiving irrigation runoff. The Salton Sea, California’s largest lake, is primarily sustained by agricultural drainage. This drainage creates wetland habitat along the lakeshore that many bird species depend on, including the federally endangered Yuma Ridgway’s rail (Rallus obsoletus yumanensis). However, these marshes may pose an ecological trap – attracting rails despite high selenium exposure. We captured rails during the 2020–2023 breeding seasons and compared rail selenium levels within three types of marshes (fed with irrigation runoff, Colorado River water, or groundwater). We collected blood, breast feathers, and head feathers of rails in all three water sources for selenium comparisons. We tagged adult rails with GPS transmitters to locate nests and foraging locations where we collected eggshells, unhatched eggs, and prey. We assessed selenium exposure by collecting multiple prey species commonly eaten by rails in all three water sources. Selenium concentrations varied among sampling locations. Selenium concentrations in most sample types were predominately influenced by water source and marsh inflow velocity (sometimes in combination with marsh size). Distance to inflow, however, did not influence selenium concentrations in any sample type. Selenium concentrations were highest in agricultural-fed marshes compared to river-fed and spring-fed marshes. Increased marsh inflow velocities resulted in lower selenium concentrations. Given the risk of an ecological trap, our results suggest that supplementing wetlands with Colorado River water could mitigate selenium bioaccumulation in Yuma Ridgway’s rails.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10661-025-14533-1","usgsCitation":"Yost, C.M., Sliwa, K.M., Shafique-Sabir, R., Shore, J., Conway, C.J., 2025, Irrigated agriculture influences selenium levels in an endangered marsh bird: Environmental Monitoring and Assessment, v. 197, 1142, 21 p., https://doi.org/10.1007/s10661-025-14533-1.","productDescription":"1142, 21 p.","ipdsId":"IP-176614","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500582,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-025-14533-1","text":"Publisher Index Page"},{"id":500378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Salton Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.13309406925843,\n 33.58026380367677\n ],\n [\n -116.13309406925843,\n 33.05670633402593\n ],\n [\n -115.55554524889646,\n 33.05670633402593\n ],\n [\n -115.55554524889646,\n 33.58026380367677\n ],\n [\n -116.13309406925843,\n 33.58026380367677\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"197","noUsgsAuthors":false,"publicationDate":"2025-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Yost, Cydney M.","contributorId":366518,"corporation":false,"usgs":false,"family":"Yost","given":"Cydney","middleInitial":"M.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sliwa, Kathryn M.","contributorId":366519,"corporation":false,"usgs":false,"family":"Sliwa","given":"Kathryn","middleInitial":"M.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shafique-Sabir, Razia","contributorId":366520,"corporation":false,"usgs":false,"family":"Shafique-Sabir","given":"Razia","affiliations":[{"id":81077,"text":"U.S. Fish and Wildlife Services","active":true,"usgs":false}],"preferred":false,"id":956022,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shore, Jonathan","contributorId":366521,"corporation":false,"usgs":false,"family":"Shore","given":"Jonathan","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":956023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956024,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271865,"text":"ofr20251052 - 2025 - The National Map Corps—Federal Emergency Management Agency and Oak Ridge National Laboratory pilot project report","interactions":[],"lastModifiedDate":"2026-02-03T15:35:47.510363","indexId":"ofr20251052","displayToPublicDate":"2025-09-24T10:15:00","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":"2025-1052","displayTitle":"The National Map Corps—Federal Emergency Management Agency and Oak Ridge National Laboratory Pilot Project Report","title":"The National Map Corps—Federal Emergency Management Agency and Oak Ridge National Laboratory pilot project report","docAbstract":"This report provides an overview of the U.S. Geological Survey National Map Corps —Federal Emergency Management Agency and Oak Ridge National Laboratory pilot project in St. James Parish, Louisiana, that began in February 2024 and ended at the end of March 2024. The project used the power of The National Map Corps’ volunteer community to improve building classifications in the original Federal Emergency Management Agency’s U.S.A. Structures dataset. The report highlights the project’s completion and details the work and results achieved through a collaborative effort to enhance geospatial data quality and utility.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20251052","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","programNote":"National Geospatial Program","usgsCitation":"Dimascio, T., Matthews, G.D., and Korris, E.M., 2025, The National Map Corps—Federal Emergency Management Agency and Oak Ridge National Laboratory pilot project report: U.S. Geological Survey Open-File Report 2025–1052, 11 p., https://doi.org/10.3133/ofr20251052.","productDescription":"vi, 11 p.","onlineOnly":"Y","ipdsId":"IP-179574","costCenters":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"links":[{"id":496083,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251052/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1052"},{"id":496000,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1052/ofr20251052.xml"},{"id":495999,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1052/images"},{"id":495984,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1052/ofr20251052.pdf","text":"Report","size":"12.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1052"},{"id":495983,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1052/coverthb.jpg"}],"contact":"Director, National Geospatial Technical Operations Center
U.S. Geological Survey
Box 25046, Mail Stop 510
Denver, Colorado 80225-0046
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 261 million barrels of oil and 4.5 trillion cubic feet of gas in Yemen.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253047","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Le, P.A., Cicero, A.D., Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., and Leathers-Miller, H.M., 2025, Assessment of undiscovered conventional oil and gas resources of Yemen, 2024: U.S. Geological Survey Fact Sheet 2025–3047, 4 p., https://doi.org/10.3133/fs20253047.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-170823","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":496029,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3047/fs20253047.xml"},{"id":495793,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1KALRWH","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Yemen—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":495792,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3047/fs20253047.pdf","text":"Report","size":"3.91 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3047"},{"id":496028,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3047/images"},{"id":495790,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3047/coverthb.jpg"},{"id":496053,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253047/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3047"}],"country":"Yemen","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[53.10857,16.65105],[52.38521,16.38241],[52.19173,15.93843],[52.16816,15.59742],[51.17252,15.17525],[49.57458,14.70877],[48.67923,14.0032],[48.23895,13.94809],[47.93891,14.00723],[47.35445,13.59222],[46.71708,13.3997],[45.87759,13.34776],[45.62505,13.29095],[45.40646,13.02691],[45.14436,12.95394],[44.98953,12.69959],[44.49458,12.72165],[44.17511,12.58595],[43.48296,12.6368],[43.22287,13.22095],[43.25145,13.76758],[43.08794,14.06263],[42.89225,14.80225],[42.60487,15.21334],[42.80502,15.26196],[42.70244,15.71889],[42.82367,15.91174],[42.77933,16.34789],[43.21838,16.66689],[43.1158,17.08844],[43.38079,17.57999],[43.79152,17.31998],[44.06261,17.41036],[45.21665,17.43333],[45.4,17.33334],[46.36666,17.23332],[46.74999,17.28334],[47,16.95],[47.46669,17.11668],[48.18334,18.16667],[49.11667,18.61667],[52.00001,19],[52.78218,17.34974],[53.10857,16.65105]]]},\"properties\":{\"name\":\"Yemen\"}}]}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
We provide 2 independent radioisotopic age estimates for cored basal sediments of the Gray Fossil Site using cosmogenic nuclides. The first estimate uses meteoric 10Be/9Be from the bottom of the GFS-1 core, as well as from modern local grasses, to constrain the deposition of basal GFS sinkhole complex sediments to 6.60 ± 0.85 Ma. We corroborated this age estimate using in-situ 10Be and 26Al in quartz sands from the GFS-1 core. This estimate provided a looser constraint than the 10Bemet/9Be approach, yielding a minimum burial age for the basal sediments of 4.43 ± 0.34 Ma. These independent geochronometers provide evidence that the deepest GFS sediments are at least early Pliocene in age, and likely date to the late Miocene.
","language":"English","publisher":"Eagle Hill Institute","usgsCitation":"Odom, W.E., Granger, D.E., and Wallace, S.C., 2025, 10Be/9Be and 26Al/10Be support a late Miocene burial age for basal Gray Fossil Site sediments: Pan-American Paleontology, v. 1, no. 1, 20 p.","productDescription":"20 p.","ipdsId":"IP-162046","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":496082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496066,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.eaglehill.us/papaonline/access-pages/001-Odom-accesspage.shtml","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Tennessee","county":"Washington County","otherGeospatial":"Gray Fossil Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.49790556245541,\n 36.38696818299522\n ],\n [\n -82.49936582790308,\n 36.38696818299522\n ],\n [\n -82.49936582790308,\n 36.385137865922104\n ],\n [\n -82.49790556245541,\n 36.385137865922104\n ],\n [\n -82.49790556245541,\n 36.38696818299522\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"1","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Odom, William E. 0000-0001-8577-5056","orcid":"https://orcid.org/0000-0001-8577-5056","contributorId":292616,"corporation":false,"usgs":true,"family":"Odom","given":"William","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":949452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granger, Darryl E.","contributorId":361787,"corporation":false,"usgs":false,"family":"Granger","given":"Darryl","middleInitial":"E.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":949453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallace, Steven C.","contributorId":361788,"corporation":false,"usgs":false,"family":"Wallace","given":"Steven","middleInitial":"C.","affiliations":[{"id":27535,"text":"East Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":949454,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70271708,"text":"70271708 - 2025 - Diverging fish biodiversity trends in cold and warm rivers and streams","interactions":[],"lastModifiedDate":"2025-11-26T15:57:41.301996","indexId":"70271708","displayToPublicDate":"2025-09-24T09:26:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Diverging fish biodiversity trends in cold and warm rivers and streams","docAbstract":"Worldwide, freshwater systems contain more than 18,000 fish species1,2,3, which are critical to the functioning of these ecosystems4 and are vital cultural and economic resources to humans5,6,7; despite this value, fish biodiversity is at risk globally8,9. In the USA, leading threats to fish communities in rivers and streams include climate change and invasive fish introductions and game fish stocking by humans10,11,12,13,14. Here we harmonized US federal biomonitoring datasets with 389 species spanning 27 years (1993–2019) and 2,992 sites to analyse trends in fish biodiversity. In cold streams (past summer stream temperatures below 15.4 °C), fish abundance and richness declined by 53.4% and 32% over 27 years, respectively, and uniqueness increased. Periodic (large-bodied, late-maturing) fishes increased, and opportunists (small-bodied, short generation time, ‘r-selected’) decreased, possibly due to proliferation of native or introduced game fishes. In warm streams (stream temperatures greater than 23.8 °C), fish abundance and richness increased by 70.5% and 15.6% over 27 years, respectively, and communities homogenized. Small opportunistic fishes replaced large periodic fishes. Intermediate streams (stream temperatures 15.4–23.8 °C), representing the average stream, had minimal changes in fish biodiversity through time. Interactions between warming and introduced fish were associated with increased rates of degradation to local fish biodiversity. Given the magnitude of these changes in a relatively short time span, there is an urgent need to curb degradation of fish biodiversity caused by fish introductions and warming water temperatures.
","language":"English","publisher":"Nature","doi":"10.1038/s41586-025-09556-0","usgsCitation":"Rumschlag, S.L., Gallagher, B., Hill, R., Schafer, R.B., Schmidt, T.S., Woods, T., Kopp, D.A., Dumelle, M., Rohr, J., De Laender, F., Hoffman, J., Behrens, J., Lepak, R., Jones, D., and Mahon, M., 2025, Diverging fish biodiversity trends in cold and warm rivers and streams: Nature, v. 647, p. 656-662, https://doi.org/10.1038/s41586-025-09556-0.","productDescription":"7 p.","startPage":"656","endPage":"662","ipdsId":"IP-172821","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":496904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"continental United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n 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Massachusetts","interactions":[],"lastModifiedDate":"2025-09-25T14:08:33.913615","indexId":"70271947","displayToPublicDate":"2025-09-24T08:58:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Linking stream-reach nitrogen loads and groundwater “reachsheds” to inform wastewater-nitrogen management actions, Cape Cod, Massachusetts","docAbstract":"Fish passage development is a priority at Tieton Dam, on the Tieton River in Washington state, because passage options were not included when the dam was constructed nearly 100 years ago. To inform downstream passage design, we conducted a study to evaluate migration and near-dam behavior of juvenile salmon. The primary goal of the study was to determine how fish approached the dam and to identify areas where they congregated. In its current configuration, water is passed through a deep intake located approximately 548 m upstream of the dam, so there was interest in determining if juvenile salmon spent more time near the intake or at the dam. We found that tagged fish primarily entered the dam forebay offshore and arrived at the dam near the spillway on the left bank of the reservoir. Tagged fish had extended residence times in the forebay and moved repeatedly between the intake and the dam. Using thermal profile data, we inferred that juvenile salmon likely occupied the upper 5 m of the water column during May and June before moving to deeper portions of the water column (10–27 m) during July–September when the reservoir became thermally stratified. We found that a small percentage of tagged fish passed the dam when the reservoir was rapidly drawn down during August–October, but additional research may be needed to fully assess entrainment risk through the intake. These findings suggest that downstream fish passage could be developed at Tieton Dam with a high probability of success, given that most fish survived reservoir passage and spent considerable time near the dam where they would be available to discover and utilize new passage routes.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.70047","usgsCitation":"Kock, T.J., Morse, J.M., Stockwell, C.L., and Hansen, A.C., 2025, Evaluation of juvenile salmon behavior to inform downstream fish passage development at a high head dam: River Research and Applications, v. 42, no. 1, p. 30-39, https://doi.org/10.1002/rra.70047.","productDescription":"10 p.","startPage":"30","endPage":"39","ipdsId":"IP-178653","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":499629,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.70047","text":"Publisher Index Page"},{"id":499581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Tieton Dam, Tieton River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.28956624184305,\n 46.663593593931665\n ],\n [\n -121.28956624184305,\n 46.618894099842606\n ],\n [\n -121.10450139881516,\n 46.618894099842606\n ],\n [\n -121.10450139881516,\n 46.663593593931665\n ],\n [\n -121.28956624184305,\n 46.663593593931665\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":214550,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":955128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morse, Joseph Mitchell 0009-0009-9937-4830","orcid":"https://orcid.org/0009-0009-9937-4830","contributorId":365998,"corporation":false,"usgs":true,"family":"Morse","given":"Joseph","middleInitial":"Mitchell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":955129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockwell, Caitlin Louise 0000-0001-8257-8428","orcid":"https://orcid.org/0000-0001-8257-8428","contributorId":365999,"corporation":false,"usgs":true,"family":"Stockwell","given":"Caitlin","middleInitial":"Louise","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":955130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Amy C. 0000-0002-0298-9137","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":223220,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":955131,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273019,"text":"70273019 - 2025 - Seaward movements and mortality of Atlantic salmon Salmo salar L. kelts in the Penobscot River, Maine","interactions":[],"lastModifiedDate":"2025-12-15T14:19:25.467022","indexId":"70273019","displayToPublicDate":"2025-09-24T08:16:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Seaward movements and mortality of Atlantic salmon Salmo salar L. kelts in the Penobscot River, Maine","title":"Seaward movements and mortality of Atlantic salmon Salmo salar L. kelts in the Penobscot River, Maine","docAbstract":"The Atlantic salmon Salmo salar L. is an endangered species in the United States, but post-spawn downstream movements remain poorly understood. We conducted a 2-year acoustic telemetry study to characterize downstream movements and to quantify apparent mortality and downstream passage of post-spawn adults (kelts) in the Penobscot River, Maine, USA (N = 112). The majority of tagged S. salar kelts (54%) exhibited a rapid movement seaward post-release instead of overwintering in the river. Salmo salar kelts that overwintered exhibited two patterns, distinguished by whether a dam was present or not. We found no relationship between post-release movement pattern, sex, body condition index or release year. Estimated apparent mortality rates were high (83%), with a greater probability of mortality occurring near the dams and release site. Apparent mortality rate did not differ by sex, body condition or year, but it was greater for individuals that moved out directly post-release and less for those that overwintered. While our results may suggest that overwintering in the river is a favourable pattern for survival, these results may be related to the closures of the designated downstream passages at the first two dams encountered by S. salar kelts. In fact, 55% of S. salar kelts passed a dam when the designated passages were closed. Altogether, these results may demonstrate the complex nature of downstream passage for S. salar kelts, particularly when having to navigate multiple dams.
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