The five islands comprising Channel Islands National Park (CHIS) experience natural gradients in temperature and moisture driven by ocean currents. Additionally, the islands were used as ranchlands and military land before becoming a national park, resulting in widespread erosion and vegetation change. As a result, CHIS spans gradients in climate as well as ranching duration and time since animal removal. Vegetation monitoring was initiated in 1984 on three islands (Anacapa, Santa Barbara, San Miguel), in 1990 on Santa Rosa Island, and in 1998 on Santa Cruz Island, with the goal of documenting the long-term response of island vegetation to ranch animal removal and climate fluctuations. Since that time, monitoring has documented the range of natural fluctuation in island environments over decades and provided insights into vegetation change in ecosystems unencumbered by ongoing development. Long-term vegetation monitoring at CHIS is therefore a rare example of an ecosystem experiment that demonstrates the results of management actions and serves as a baseline for land managers and scientists worldwide.
Terrestrial vegetation data collected between 1984 and 2018 were modeled to estimate trends over time and to characterize relationships with covariates related to site characteristics, nonnative mammal removal programs, and water balance metrics. Data were analyzed for trends in vegetation cover, woody plant density, and plant community diversity grouped by life form and nativity across all islands and within individual islands, as well as for several individual species that dominate plant communities or present challenges to native plant recovery. In all, a total of 162 trend and covariate models were tested in this study, the details of which are provided in this report. Briefly, results reflect a decline in nonnative annual disturbance-thriving species with the reduction in animal grazing and trampling. Increasing trends were observed in native shrub density and native shrub recruitment density, as well as native shrub cover across all islands averaged together and on Santa Cruz Island. However, opposite trends were seen on the smaller islands of Santa Barbara and Anacapa, where increasing seabird activity may be damaging vegetation. Further results indicate the importance of soil moisture, relative humidity, fog, precipitation, site exposure, and solar radiation for vegetation patterns and trends. In many instances, there are apparent interacting effects of environmental variables with trends related to nonnative mammal removal and site location. Vegetation patterns in space and time emerge in the dataset as nuanced responses to interacting drivers.
","language":"English","publisher":"National Park Service","doi":"10.36967/2315831","usgsCitation":"Starcevich, L.A., Murray, C., Lee, L.F., Williams, C.B., and McEachern, K., 2025, Analysis of trends in terrestrial vegetation at Mediterranean Coast Network Parks: Channel Islands National Park: Science Report NPS/SR-2025/358, xvi, 176 p., https://doi.org/10.36967/2315831.","productDescription":"xvi, 176 p.","ipdsId":"IP-144822","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Calfornia","otherGeospatial":"Channel Islands National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.7325747,\n 34.3878669\n ],\n [\n -120.6273817,\n 33.7780062\n ],\n [\n -119.4370392,\n 32.9735463\n ],\n [\n -118.1857956,\n 32.6851079\n ],\n [\n -118.2300874,\n 33.4875961\n ],\n [\n -119.4591851,\n 34.2049123\n ],\n [\n -120.2398283,\n 34.3513079\n ],\n [\n -120.7325747,\n 34.3878669\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Starcevich, Leigh Ann","contributorId":366371,"corporation":false,"usgs":false,"family":"Starcevich","given":"Leigh","middleInitial":"Ann","affiliations":[{"id":38051,"text":"Western EcoSystems Technology, Inc.","active":true,"usgs":false}],"preferred":false,"id":955748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Christopher","contributorId":340084,"corporation":false,"usgs":false,"family":"Murray","given":"Christopher","affiliations":[{"id":81451,"text":"School of Marine and Environmental Affairs and Washington Ocean Acidification Center, 7 University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":955749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Lena F.S.","contributorId":366372,"corporation":false,"usgs":false,"family":"Lee","given":"Lena","middleInitial":"F.S.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":955750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Cameron B.","contributorId":366373,"corporation":false,"usgs":false,"family":"Williams","given":"Cameron","middleInitial":"B.","affiliations":[{"id":6993,"text":"Channel Islands National Park","active":true,"usgs":false}],"preferred":false,"id":955751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":955752,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272225,"text":"70272225 - 2025 - Amphibian diversity of the western Colorado canyonlands including potential threats from nonnative bullfrogs and disease","interactions":[],"lastModifiedDate":"2025-11-19T16:44:02.732723","indexId":"70272225","displayToPublicDate":"2025-11-01T10:39:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Amphibian diversity of the western Colorado canyonlands including potential threats from nonnative bullfrogs and disease","docAbstract":"Throughout the canyons of the Colorado and Uncompahgre Plateaus, water is a limited resource for wildlife, with patchy distribution and seasonal availability. Tributary creeks within these canyons drain into mainstem rivers, providing habitat and breeding sites for native amphibians. Yet, little is known about the diversity and distribution of amphibians that live in these harsh, dynamic environments. In addition, the rivers that border these canyon tributaries may serve as corridors for nonnative species and disease. The American Bullfrog (Lithobates catesbeianus) is a nonnative species in western Colorado known to prey on native amphibians and act as a reservoir for pathogens such as Batrachochytrium dendrobatidis (Bd). From 2019 to 2022, we surveyed for amphibians using visual encounter surveys (VES) and environmental DNA (eDNA) surveys throughout the McInnis Canyons National Conservation Area (MCNCA), the Dominguez–Escalante National Conservation Area (DENCA), and the Dolores River Canyon Wilderness Study Area (DRCWSA). Our primary goals were to document the diversity and distribution of native amphibians in the canyonlands and evaluate potential threats to these species from bullfrogs and Bd. We confirmed that sensitive species, such as the Great Basin Spadefoot (Spea intermontana) and the Northern Leopard Frog (Lithobates pipiens), inhabit these protected areas. In most cases, bullfrogs were not detected within ephemeral tributaries, but bullfrog DNA was detected in some tributaries at the confluence with the mainstem rivers. In Mee Canyon (MCNCA), however, bullfrogs were found within the tributary, up to 3 km from the Colorado River. A bullfrog individual removed from this canyon tested positive for Bd, and diet contents suggested that native amphibians are potential prey in this system. Nonnative predators and disease pose a threat to native amphibians, alongside environmental changes such as drought and hydrological shifts driven by ongoing climate change.
","language":"English","publisher":"Brigham Young University","usgsCitation":"Weeks, D., Pilliod, D., Grant-Hoffman, M., Quintana Spencer, A., Neubaum, D., Hampton, P., Grossklaus, M.R., Laramie, M., and Muths, E., 2025, Amphibian diversity of the western Colorado canyonlands including potential threats from nonnative bullfrogs and disease: Western North American Naturalist, v. 85, no. 3, p. 515-535.","productDescription":"21 p.","startPage":"515","endPage":"535","ipdsId":"IP-170372","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":496648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496611,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol85/iss3/10"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.24866016584289,\n 41.018297212687145\n ],\n [\n -109.04369572826369,\n 41.018297212687145\n ],\n [\n -109.04369572826369,\n 36.9561564150428\n ],\n [\n -105.24866016584289,\n 36.9561564150428\n ],\n [\n -105.24866016584289,\n 41.018297212687145\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"85","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weeks, Denita M 0000-0001-7227-8616","orcid":"https://orcid.org/0000-0001-7227-8616","contributorId":334383,"corporation":false,"usgs":false,"family":"Weeks","given":"Denita M","affiliations":[{"id":34607,"text":"Colorado Mesa University","active":true,"usgs":false}],"preferred":false,"id":950489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":218009,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":950490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant-Hoffman, Madeline (Nikki) 0000-0003-3363-5216","orcid":"https://orcid.org/0000-0003-3363-5216","contributorId":334388,"corporation":false,"usgs":false,"family":"Grant-Hoffman","given":"Madeline (Nikki)","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":950491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quintana Spencer, Anjelica F","contributorId":349757,"corporation":false,"usgs":false,"family":"Quintana Spencer","given":"Anjelica F","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":950492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neubaum, Daniel 0000-0002-6642-4063","orcid":"https://orcid.org/0000-0002-6642-4063","contributorId":345944,"corporation":false,"usgs":false,"family":"Neubaum","given":"Daniel","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":950493,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hampton, Paul","contributorId":362446,"corporation":false,"usgs":false,"family":"Hampton","given":"Paul","affiliations":[{"id":34607,"text":"Colorado Mesa University","active":true,"usgs":false}],"preferred":false,"id":950494,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grossklaus, Michaela Ray 0009-0002-0890-6520","orcid":"https://orcid.org/0009-0002-0890-6520","contributorId":342051,"corporation":false,"usgs":true,"family":"Grossklaus","given":"Michaela","email":"","middleInitial":"Ray","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":950495,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Laramie, Matthew B 0000-0001-7820-2583","orcid":"https://orcid.org/0000-0001-7820-2583","contributorId":334384,"corporation":false,"usgs":false,"family":"Laramie","given":"Matthew B","affiliations":[{"id":64954,"text":"Bureau of Indian Affairs","active":true,"usgs":false}],"preferred":false,"id":950496,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":243368,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":950497,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273274,"text":"70273274 - 2025 - Landsat-derived rainfed and irrigated-area product for conterminous United States for the year 2020 (LRIP30 CONUS 2020) using supervised and unsupervised machine learning on the cloud","interactions":[],"lastModifiedDate":"2025-12-29T16:30:45.746731","indexId":"70273274","displayToPublicDate":"2025-11-01T10:22:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5987,"text":"Photogrammetric Engineering & Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat-derived rainfed and irrigated-area product for conterminous United States for the year 2020 (LRIP30 CONUS 2020) using supervised and unsupervised machine learning on the cloud","docAbstract":"Accurate maps of irrigated and rainfed croplands are crucial for assessing global food and water security. Irrigated croplands yield two to four times more grain and biomass than rainfed croplands. To meet rising food demand, the proportion of cropland that is irrigated must be increased globally. Because agriculture uses 80% to 90% of global fresh water, understanding changes in cropland extent, crop type, and irrigation is critical for meeting nutritional needs sustainably. The United States has one of the most productive rainfed and irrigated croplands in the world and is a leading producer and exporter of agricultural crops. Precise maps of irrigated and rainfed croplands in the United States are crucial for assessing the current and the future agricultural production capacity in supporting food security. We developed a 30-m resolution rainfed and irrigated area map for the conterminous United States derived from 2019 to 2021 multi-date Landsat-8 data (LRIP30 CONUS 2020). A total of 96 harmonized spectral bands comprising monthly median value composites of eight bands (blue, green, red, NIR, SWIR1, SWIR2, TIR, and enhanced vegetation index [EVI]) were used. A cropland mask was then applied, and reference data were sourced from various sources. A pixel based supervised random forest classifier, and pixel based unsupervised ISODATA clustering classifier were implemented on Google Earth Engine and the ERDAS Imagine workstation to classify, identify, map, and assess accuracies of irrigated and rainfed cropland areas. The LRIP30 CONUS 2020 product achieved an overall accuracy of 93.9%. The irrigated and rainfed classes had producer's accuracies of 90.2% and 95.7%, respectively, and user's accuracies of 90.8% and 95.4%, respectively. The total net cropland area was estimated at 139.4 million hectares (Mha), of which 94.9 Mha (68%) was classified as rainfed and 44.5 Mha (32%) was classified as irrigated. State level summaries highlight regional differences and their implications for national and global food and water security.
","language":"English","publisher":"American Society for Photogrammetry and Remote Sensing","doi":"10.14358/PERS.25-00081R3","usgsCitation":"Teluguntla, P., Thenkabail, P., Oliphant, A., Aneece, I., Biggs, T., Murali Krishna Gumma, Foley, D., McCormick, R.L., Rohitha, N., Long, E., and Lawton, J., 2025, Landsat-derived rainfed and irrigated-area product for conterminous United States for the year 2020 (LRIP30 CONUS 2020) using supervised and unsupervised machine learning on the cloud: Photogrammetric Engineering & Remote Sensing, v. 91, no. 11, p. 703-714, https://doi.org/10.14358/PERS.25-00081R3.","productDescription":"12 p.","startPage":"703","endPage":"714","ipdsId":"IP-179081","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":498274,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.25-00081r3","text":"Publisher Index 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Delta","interactions":[],"lastModifiedDate":"2025-12-10T16:28:23.314674","indexId":"70272822","displayToPublicDate":"2025-11-01T10:20:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Effects of flow on pesticides in water and zooplankton in the northern Sacramento-San Joaquin Delta","docAbstract":"Zooplankton are a key food source for juvenile fishes in estuaries worldwide, including California’s Sacramento–San Joaquin Delta (hereafter Delta); both zooplankton quality and quantity are critical to ecosystem health. Zooplankton may be affected by pesticides in water and the food web, and the Delta is known to contain complex pesticide mixtures. In this study, we evaluated pesticide concentrations in water and zooplankton in the northern Delta during (1) the summer–fall of 2017, 2018, and 2019, which included periods of augmented pulse flows from agriculture tailwater, and (2) across a full seasonal cycle from May 2019 to March 2020. We quantified changes in pesticide concentration in response to environmental factors. We found that zooplankton showed more frequent detections of hydrophobic pesticides compared to more frequent detections of hydrophilic compounds in water. Pesticide concentrations were influenced by flow, pesticide application, and season, but the effects of these environmental factors differed by habitat (Sacramento River or Yolo Bypass Toe Drain). Pesticides in water responded similarly to environmental factors in the Sacramento River and Yolo Bypass, whereas pesticides in zooplankton responded differently. In water, we found more detections and higher concentrations at higher flows in the Yolo Bypass and Sacramento River, but responses to pesticide application varied by habitat. Alternatively, pesticide concentrations in zooplankton increased in the Yolo Bypass with increasing flow (correlated with flow pulses) and changed seasonally; whereas, pesticide concentrations in zooplankton in the Sacramento River decreased at higher flows, and decreased with or did not respond to higher pesticide application in the watershed. Our study suggests that augmented flows—particularly those using agricultural tailwater—may have unintended negative ecological effects that could partially offset benefits to the food web and fishes in the northern Delta, underscoring the complex interplay among factors that drive increased pesticide exposure.
","language":"English","publisher":"University of California Davis","doi":"10.15447/sfews.2025v23iss4art4","usgsCitation":"Orlando, J., Twardochleb, L., Bosworth, D., Hladik, M.L., Sanders, C., De Parsia, M., and Davis, B.E., 2025, Effects of flow on pesticides in water and zooplankton in the northern Sacramento-San Joaquin Delta: San Francisco Estuary and Watershed Science, v. 23, no. 4, 4, 25 p., https://doi.org/10.15447/sfews.2025v23iss4art4.","productDescription":"4, 25 p.","ipdsId":"IP-173021","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":497376,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2025v23iss4art4","text":"Publisher Index Page"},{"id":497304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.2038412452062,\n 38.5623232149853\n ],\n [\n -122.19785966601634,\n 38.5623232149853\n ],\n [\n -122.19785966601634,\n 37.76519646461169\n ],\n [\n -121.2038412452062,\n 37.76519646461169\n ],\n [\n -121.2038412452062,\n 38.5623232149853\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-12-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Orlando, James 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":221090,"corporation":false,"usgs":true,"family":"Orlando","given":"James","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twardochleb, Laura 0000-0002-8804-9399","orcid":"https://orcid.org/0000-0002-8804-9399","contributorId":339840,"corporation":false,"usgs":false,"family":"Twardochleb","given":"Laura","email":"","affiliations":[{"id":12702,"text":"California State Water Resources Control Board","active":true,"usgs":false}],"preferred":false,"id":951888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bosworth, David 0000-0003-0740-3390","orcid":"https://orcid.org/0000-0003-0740-3390","contributorId":347649,"corporation":false,"usgs":false,"family":"Bosworth","given":"David","affiliations":[{"id":40593,"text":"CA Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":951889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanders, Corey 0000-0001-7743-6396","orcid":"https://orcid.org/0000-0001-7743-6396","contributorId":204711,"corporation":false,"usgs":true,"family":"Sanders","given":"Corey","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951891,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"De Parsia, Matt 0000-0001-5806-5403 mdeparsia@usgs.gov","orcid":"https://orcid.org/0000-0001-5806-5403","contributorId":173765,"corporation":false,"usgs":true,"family":"De Parsia","given":"Matt","email":"mdeparsia@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951892,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davis, Brittany E. 0000-0003-3752-1830","orcid":"https://orcid.org/0000-0003-3752-1830","contributorId":339841,"corporation":false,"usgs":false,"family":"Davis","given":"Brittany","email":"","middleInitial":"E.","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":951893,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272137,"text":"70272137 - 2025 - A spatiotemporal interrogation of hydrologic drought model performance for machine learning model interpretability","interactions":[],"lastModifiedDate":"2025-11-17T16:08:00.3984","indexId":"70272137","displayToPublicDate":"2025-10-30T10:01:17","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":"A spatiotemporal interrogation of hydrologic drought model performance for machine learning model interpretability","docAbstract":"The predictive accuracy of regional hydrologic models often varies across both time and space. Interpreting relationships between watershed characteristics, hydrologic regimes, and model performance can reveal potential areas for model improvement. In this study, we use machine learning to assess model performance of a regional hydrologic model to forecast the occurrence of streamflow drought. We demonstrate our methodology using a regional long short-term memory (LSTM) deep learning model developed by the U.S. Geological Survey (USGS) and data from 384 streamgages across the Colorado River Basin region. Performance was assessed by clustering catchments using: (a) physical and climatological catchment attributes, and (b) streamflow drought signatures time series. We examined the association of USGS LSTM model error measures with clusters generated by both approaches to interpret meaningful spatial and temporal information about LSTM model performance. Clustering static catchment attributes identified elevation, degree of streamflow regulation, baseflow contribution, catchment aridity, and drainage area as the most influential attributes to model performance. Clustering gages by their drought signatures revealed that catchments with significant seasonal peak runoff between January and June generally exhibited better model performance. Additionally, a Random Forest classifier was trained to successfully predict LSTM model performance (F1 score of 0.72) based on physical and climatological catchment attributes. Low degree of flow regulation was identified as a key indicator of better LSTM model performance. These findings point to the opportunities for improving the USGS LSTM model performance in future hydrologic drought prediction efforts across regional and CONUS scales.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR039077","usgsCitation":"Dadkhah, A., Hamshaw, S.D., van der Heijden, R., and Rizzo, D.M., 2025, A spatiotemporal interrogation of hydrologic drought model performance for machine learning model interpretability: Water Resources Research, v. 61, no. 11, e2024WR039077, 20 p., https://doi.org/10.1029/2024WR039077.","productDescription":"e2024WR039077, 20 p.","ipdsId":"IP-171117","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":496726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr039077","text":"Publisher Index Page"},{"id":496550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, South Dakota, Texas, Utah, Wyoming","otherGeospatial":"Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.82376678919411,\n 36.26233085914717\n ],\n [\n -115.85085818096155,\n 32.567720561211985\n ],\n [\n -110.51032589138043,\n 31.22468250332072\n ],\n [\n -108.12617557977711,\n 31.516111303152087\n ],\n [\n -107.07123697669522,\n 32.48455428990293\n ],\n [\n -102.78172590159346,\n 34.79341128012621\n ],\n [\n -102.32122175185708,\n 37.822265600751294\n ],\n [\n -104.54120424685271,\n 39.31008340398529\n ],\n [\n -105.01672465698343,\n 42.43285898166596\n ],\n [\n -102.61536956018404,\n 44.597711605623914\n ],\n [\n -103.68883267765926,\n 45.86117991057367\n ],\n [\n -104.94111657475693,\n 46.52791159365242\n ],\n [\n -111.34981535286528,\n 46.65300676975278\n ],\n [\n -113.2114048549673,\n 44.05547092656684\n ],\n [\n -115.54731167526421,\n 41.97871186707138\n ],\n [\n -119.35050975086381,\n 42.039351853495674\n ],\n [\n -119.8152614776348,\n 40.77295494694408\n ],\n [\n -119.24558792818462,\n 38.8937217445025\n ],\n [\n -116.82376678919411,\n 36.26233085914717\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"61","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Dadkhah, Ali 0000-0002-0861-4926","orcid":"https://orcid.org/0000-0002-0861-4926","contributorId":362194,"corporation":false,"usgs":false,"family":"Dadkhah","given":"Ali","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":950171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamshaw, Scott Douglas 0000-0002-0583-4237","orcid":"https://orcid.org/0000-0002-0583-4237","contributorId":305601,"corporation":false,"usgs":true,"family":"Hamshaw","given":"Scott","email":"","middleInitial":"Douglas","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":950172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van der Heijden, Ryan 0000-0003-1320-9500","orcid":"https://orcid.org/0000-0003-1320-9500","contributorId":362195,"corporation":false,"usgs":false,"family":"van der Heijden","given":"Ryan","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":950173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rizzo, Donna M.","contributorId":362196,"corporation":false,"usgs":false,"family":"Rizzo","given":"Donna","middleInitial":"M.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":950174,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273296,"text":"70273296 - 2025 - Comparative life history of mud turtles (genus: Kinosternon) from the North American deserts","interactions":[],"lastModifiedDate":"2026-01-05T15:03:45.59267","indexId":"70273296","displayToPublicDate":"2025-10-30T08:56:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparative life history of mud turtles (genus: Kinosternon) from the North American deserts","title":"Comparative life history of mud turtles (genus: Kinosternon) from the North American deserts","docAbstract":"The warm deserts of North America are characterized by diverse environments that include the transition zone between tropical and temperate regions on the continent. This vast region includes the Sonoran and Chihuahuan deserts, which have different precipitation regimes and are composed of different floras and faunas, separated by the Cochise Filter Barrier. Inhabiting these deserts are 7 mud turtles (representing 4 separate clades within the genus Kinosternon), and we compared their basic ecology, life history, and estivation time to test for variation between deserts. We used phylogenetic comparative methods to correlate the life history traits with environmental variables (temperature and precipitation) to test for variation between deserts. Life history strategies (clutch size, egg size, and reproductive phenology) of mud turtles were similar across both deserts, with negative correlations of clutch size and age of maturity with both aridity and temperature variables. Maximum estivation time was correlated with the seasonality of each included locality. Overall, life history strategies were quite similar, with small local specializations to avoid high temperatures and periodic lack of water. From a population ecology perspective, populations showed varied sex ratios biased toward males or females, along with different population structure among populations and species. However, most published studies lacked data for hatchlings. Phylogenetic signal is high in traits related to body size, including sexual size dimorphism. Overall, mud turtles from the southwest deserts are adapted to regional seasonality and precipitation regimes, with minor adjustments to fit local conditions.
","language":"English","publisher":"BioOne","doi":"10.3398/064.085.0302","usgsCitation":"Macipríos, R., and Lovich, J.E., 2025, Comparative life history of mud turtles (genus: Kinosternon) from the North American deserts: Western North American Naturalist, v. 85, no. 3, p. 396-410, https://doi.org/10.3398/064.085.0302.","productDescription":"15 p.","startPage":"396","endPage":"410","ipdsId":"IP-165079","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -101.32669609969128,\n 42.18591387423689\n ],\n [\n -115.30100988851879,\n 42.18591387423689\n ],\n [\n -115.30100988851879,\n 24.48732899818424\n ],\n [\n -101.32669609969128,\n 24.48732899818424\n ],\n [\n -101.32669609969128,\n 42.18591387423689\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"85","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Macipríos, Rodrigo","contributorId":347546,"corporation":false,"usgs":false,"family":"Macipríos","given":"Rodrigo","affiliations":[{"id":83188,"text":"Escuela Nacional de Estudios Superiores, Unidad Morelia. Universidad Nacional Atónoma de México, Antigua Carretera a Páztcuaro, No. 8701, Col. Ex Hacienda San José la Huerta, Morelia, Michoacán, 58190, México","active":true,"usgs":false}],"preferred":false,"id":953270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953271,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70272693,"text":"70272693 - 2025 - Climatological effects on survival, recruitment, and possible extirpation of a Sierra Nevada anuran","interactions":[],"lastModifiedDate":"2025-12-04T16:39:23.520639","indexId":"70272693","displayToPublicDate":"2025-10-28T10:27:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12584,"text":"Climate Change Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Climatological effects on survival, recruitment, and possible extirpation of a Sierra Nevada anuran","docAbstract":"The drivers of population dynamics are a primary interest of ecologists, and predicting the consequences of climate variability on wildlife populations benefits from an understanding of how weather causes variation in the vital rates of populations. Given recent and projected extremes in annual precipitation in the Sierra Nevada of California, USA, including two severe droughts, we sought to examine the role of snowpack and summer water availability on the population dynamics and potential extirpation of a meadow population of the U.S. Endangered Sierra Nevada yellow-legged frog (Rana sierrae) using a long-term capture-mark-recapture dataset. We found that snowpack and summer water availability affected both survival and recruitment probabilities. Although these variables only explained approximately 17 % of the annual variation in adult survival, they explained 81 % of the variation in recruitment into the adult population. Following two severe, extended droughts and a nearby wildfire, the population consisted of 20 or fewer individuals with >95 % certainty, and 10 or fewer individuals with 64 % certainty. If realized, increased precipitation volatility and extended droughts likely present an additional threat to some meadow populations of this endangered frog.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecochg.2025.100099","usgsCitation":"Halstead, B., Kleeman, P.M., Rose, J.P., Grasso, R.L., and Fellers, G.M., 2025, Climatological effects on survival, recruitment, and possible extirpation of a Sierra Nevada anuran: Climate Change Ecology, v. 10, 100099, 11 p., https://doi.org/10.1016/j.ecochg.2025.100099.","productDescription":"100099, 11 p.","ipdsId":"IP-161742","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497114,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecochg.2025.100099","text":"Publisher Index Page"},{"id":497060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Summit Meadow, Yosemite National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.64672349244009,\n 37.675274534515\n ],\n [\n -119.65704609741877,\n 37.675274534515\n ],\n [\n -119.65704609741877,\n 37.668624663917555\n ],\n [\n -119.64672349244009,\n 37.668624663917555\n ],\n [\n -119.64672349244009,\n 37.675274534515\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":215986,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian","email":"bhalstead@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grasso, Robert L.","contributorId":363246,"corporation":false,"usgs":false,"family":"Grasso","given":"Robert","middleInitial":"L.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":951350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fellers, Gary M.","contributorId":209920,"corporation":false,"usgs":false,"family":"Fellers","given":"Gary","email":"","middleInitial":"M.","affiliations":[{"id":38025,"text":"9 Goldfinch Court, Novato, CA 94947; gary_fellers@worldnet.att.net","active":true,"usgs":false}],"preferred":false,"id":951351,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272965,"text":"70272965 - 2025 - Movements and survival of hatchery reared juvenile cisco (Coregonus artedi) in Saginaw Bay, Lake Huron","interactions":[],"lastModifiedDate":"2025-12-11T14:40:57.770589","indexId":"70272965","displayToPublicDate":"2025-10-28T08:36:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Movements and survival of hatchery reared juvenile cisco (Coregonus artedi) in Saginaw Bay, Lake Huron","title":"Movements and survival of hatchery reared juvenile cisco (Coregonus artedi) in Saginaw Bay, Lake Huron","docAbstract":"Cisco (Coregonus artedi) were historically abundant throughout Lake Huron, including Saginaw Bay, but only a few remnant populations remain in northern Lake Huron today. Reestablishment of cisco is an important component of management plans to restore sustainable fisheries in Lake Huron. Cisco restoration efforts have focused on the release of hatchery-reared fish, but the fate and behavior of stocked fish after release is unknown. Mortality due to predation and behavior of hatchery-reared fish after release may influence success of restoration stocking programs. Acoustic telemetry tags with predation sensors show promise for tracking movements and survival of juvenile fish; however, guidelines for designing receiver arrays to capture movements and determine the fate of juvenile fish are not well-established.
We examined whether an acoustic receiver array with approximately 20 km2 of coverage was sufficient to determine movements and fate of cisco during the first month after release. We implanted 26 juvenile cisco (mean total length = 161 mm) with acoustic tags equipped with a sensor to detect predation. Thirteen fish (50%) moved more than 4 km from the release location and out of the array, seven fish (27%) were consumed by predators while in the array within 17 days of release, and the fates of six fish (23%) were unknown. Of fish that left the array, 50% left between 4 and 7 days after release. No fish were detected after 17 days after release. Cisco moved with water currents during the first day after release, but this was not observed in subsequent days. Concurrent with fish release, detection range was estimated from stationary tags at three locations within the receiver array. Daily estimates of detection range were greater than 50% at 250 m during October 2021.
This study provides evidence that hatchery-reared juvenile cisco can move more than 4 km within 17 days of release but are vulnerable to predation. To fully quantify sources of mortality and spatial extent of movements by hatchery-reared cisco, future acoustic telemetry studies will require a receiver array designed to track movements of tagged fish and their predators over larger distances than monitored in this study.
","language":"English","publisher":"Springer","doi":"10.1186/s40317-025-00429-x","usgsCitation":"Hayden, T., Holbrook, C., Binder, T., Honsey, A.E., Gordon, R., McDonnell, K., Fielder, D.G., and Fisk, A., 2025, Movements and survival of hatchery reared juvenile cisco (Coregonus artedi) in Saginaw Bay, Lake Huron: Animal Biotelemetry, v. 13, 35, 12 p., https://doi.org/10.1186/s40317-025-00429-x.","productDescription":"35, 12 p.","ipdsId":"IP-177003","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":497378,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-025-00429-x","text":"Publisher Index Page"},{"id":497319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Lake Huron, Saginaw Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.76534611893418,\n 44.33059449174337\n ],\n [\n -83.76534611893418,\n 43.95413921561067\n ],\n [\n -82.67021855448533,\n 43.95413921561067\n ],\n [\n -82.67021855448533,\n 44.33059449174337\n ],\n [\n -83.76534611893418,\n 44.33059449174337\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Hayden, Todd","contributorId":214232,"corporation":false,"usgs":false,"family":"Hayden","given":"Todd","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":951908,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":951909,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Binder, Thomas R.","contributorId":349828,"corporation":false,"usgs":false,"family":"Binder","given":"Thomas R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":951910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Honsey, Andrew Edgar 0000-0001-7535-1321","orcid":"https://orcid.org/0000-0001-7535-1321","contributorId":295468,"corporation":false,"usgs":true,"family":"Honsey","given":"Andrew","email":"","middleInitial":"Edgar","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":951911,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gordon, Roger","contributorId":194165,"corporation":false,"usgs":false,"family":"Gordon","given":"Roger","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951912,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDonnell, Kevin","contributorId":150586,"corporation":false,"usgs":false,"family":"McDonnell","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":951913,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fielder, David G.","contributorId":127528,"corporation":false,"usgs":false,"family":"Fielder","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":951914,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisk, Aaron T.","contributorId":51604,"corporation":false,"usgs":false,"family":"Fisk","given":"Aaron T.","affiliations":[],"preferred":false,"id":951915,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273238,"text":"70273238 - 2025 - Seasonal increases in global dryland gross primary production are modulated by root soil moisture and temperature","interactions":[],"lastModifiedDate":"2025-12-22T15:06:55.309285","indexId":"70273238","displayToPublicDate":"2025-10-25T07:59:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal increases in global dryland gross primary production are modulated by root soil moisture and temperature","docAbstract":"Dryland ecosystems, which are highly sensitive to environmental variability across space and through time, play a critical role in the global carbon cycle. To understand the carbon sink role of drylands, this study used different sources of global dryland gross primary productivity (GPP) and evaluated the spatiotemporal variations in seasonal GPP in response to climatic and soil water conditions from 1982 to 2018. Root-zone soil moisture consistently exerted a predominant positive influence on dryland GPP across all seasons, while the effect of surface soil moisture was less influential. Maximum temperature (Tmax) ranked as the second most influential factor on GPP, switching from a notable positive effect during cooler seasons to a negative impact during warmer seasons. Similarly, during cool seasons, vapor pressure deficit exhibited a notable positive effect on GPP, but this influence became negative in warmer seasons. Tmax indirectly regulated GPP by modulating the influence of other meteorological factors. During the warm season, Tmax negatively affected GPP via VPD, while in the cold season, it positively affected GPP through VPD. This study explicitly identifies the pivotal role of root-zone soil moisture in determining GPP and highlights the substantial seasonal differences and regulatory role of temperature in how other environmental variables influence GPP. These findings provide a novel perspective for understanding the responses of dryland ecosystems to climate change.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2025.105133","usgsCitation":"Lan, L., Munson, S.M., Yu, K., Fang, Z., Chen, X., Zhao, W., Sun, S., Wang, Z., He, F., and Liang, Y., 2025, Seasonal increases in global dryland gross primary production are modulated by root soil moisture and temperature: Global and Planetary Change, v. 255, 105133, 12 p., https://doi.org/10.1016/j.gloplacha.2025.105133.","productDescription":"105133, 12 p.","ipdsId":"IP-178265","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":497828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"255","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lan, Lihua","contributorId":364524,"corporation":false,"usgs":false,"family":"Lan","given":"Lihua","affiliations":[{"id":86835,"text":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China","active":true,"usgs":false}],"preferred":false,"id":952816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":220026,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yu, Kailiang","contributorId":221398,"corporation":false,"usgs":false,"family":"Yu","given":"Kailiang","email":"","affiliations":[{"id":40362,"text":"Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA","active":true,"usgs":false}],"preferred":false,"id":952818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fang, Zhongxiang","contributorId":364525,"corporation":false,"usgs":false,"family":"Fang","given":"Zhongxiang","affiliations":[{"id":86838,"text":"Institute of Geography, Augsburg University, Augsburg, Germany","active":true,"usgs":false}],"preferred":false,"id":952819,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Xiuzhi","contributorId":364526,"corporation":false,"usgs":false,"family":"Chen","given":"Xiuzhi","affiliations":[{"id":86839,"text":"e Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle, School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, China","active":true,"usgs":false}],"preferred":false,"id":952820,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhao, Weiguang","contributorId":150211,"corporation":false,"usgs":false,"family":"Zhao","given":"Weiguang","email":"","affiliations":[{"id":12433,"text":"China University of Geosciences","active":true,"usgs":false}],"preferred":false,"id":952821,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sun, Siao","contributorId":364528,"corporation":false,"usgs":false,"family":"Sun","given":"Siao","affiliations":[{"id":86835,"text":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China","active":true,"usgs":false}],"preferred":false,"id":952823,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Zhenbo","contributorId":364527,"corporation":false,"usgs":false,"family":"Wang","given":"Zhenbo","affiliations":[{"id":86835,"text":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China","active":true,"usgs":false}],"preferred":false,"id":952822,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"He, Fei","contributorId":305412,"corporation":false,"usgs":false,"family":"He","given":"Fei","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":952824,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Liang, Yuan","contributorId":364529,"corporation":false,"usgs":false,"family":"Liang","given":"Yuan","affiliations":[{"id":86835,"text":"Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China","active":true,"usgs":false}],"preferred":false,"id":952825,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70271323,"text":"70271323 - 2025 - Practical pathways for protecting headwater streams in urbanizing areas","interactions":[],"lastModifiedDate":"2025-12-15T16:44:36.434866","indexId":"70271323","displayToPublicDate":"2025-10-24T10:01:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Practical pathways for protecting headwater streams in urbanizing areas","docAbstract":"Headwater streams are diverse ecosystems and important sources of water and dissolved and particulate resources to the downstream river network. However, across the world, they are rapidly being degraded or lost through human activities, particularly urban development. This degradation and loss have negative consequences for the structure and function of headwater streams, as well as downstream river networks. Despite long-held recognition of the ecological value of headwater streams and the impacts of their widespread loss, there remains a large gap between developing strategies and tangible action. To address this gap, we, a group of cross-disciplinary researchers and practitioners from multiple organizations and locations, developed a framework to guide strategic decision-making and a comprehensive set of structural and nonstructural tools that can be used to protect headwater streams in urbanizing areas where opportunities to protect waterway health are being considered by local waterway practitioners and the community. The framework was tested by applying it to 4 contrasting case studies of urbanization with different physiographic, policy, and legislative settings. Our evaluation showed that the framework provides a useful generic mechanism that can be used by policymakers, planners, and other stakeholders to diagnose the status of headwater stream protection in a variety of urban areas and to support structured stakeholder conversations about what is desirable, practical, and achievable for their context.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/737826","usgsCitation":"Hatt, B., Athapaththu, C., Behrens, J., Boer, S., Burns, M.J., Burrows, R., de Jong, R., Elsner, C., Grey, V., Imberger, M., Williams, B., and Coleman, R., 2025, Practical pathways for protecting headwater streams in urbanizing areas: Freshwater Science, v. 44, no. 4, p. 546-567, https://doi.org/10.1086/737826.","productDescription":"22 p.","startPage":"546","endPage":"567","ipdsId":"IP-168010","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":496905,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Hatt, Belinda","contributorId":360971,"corporation":false,"usgs":false,"family":"Hatt","given":"Belinda","affiliations":[{"id":29920,"text":"The University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":948041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Athapaththu, Chamantha","contributorId":360972,"corporation":false,"usgs":false,"family":"Athapaththu","given":"Chamantha","affiliations":[{"id":86134,"text":"Hydrobiology Qld Pty Ltd","active":true,"usgs":false}],"preferred":false,"id":948042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Behrens, Jonathan","contributorId":360974,"corporation":false,"usgs":false,"family":"Behrens","given":"Jonathan","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":948043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boer, Sally","contributorId":360975,"corporation":false,"usgs":false,"family":"Boer","given":"Sally","affiliations":[{"id":86136,"text":"E2Designlab","active":true,"usgs":false}],"preferred":false,"id":948044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burns, Matthew J.","contributorId":146251,"corporation":false,"usgs":false,"family":"Burns","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":16645,"text":"Waterway Ecosystem Research Group, School of Ecosystem and Forest Sciences, The","active":true,"usgs":false}],"preferred":false,"id":948045,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burrows, Ryan","contributorId":295995,"corporation":false,"usgs":false,"family":"Burrows","given":"Ryan","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":948046,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"de Jong, Riley","contributorId":360977,"corporation":false,"usgs":false,"family":"de Jong","given":"Riley","affiliations":[{"id":86138,"text":"Bligh Tanner","active":true,"usgs":false}],"preferred":false,"id":948047,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Elsner, Caroline","contributorId":360978,"corporation":false,"usgs":false,"family":"Elsner","given":"Caroline","affiliations":[{"id":86139,"text":"City of Launceston","active":true,"usgs":false}],"preferred":false,"id":948048,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Grey, Vaughn","contributorId":360979,"corporation":false,"usgs":false,"family":"Grey","given":"Vaughn","affiliations":[{"id":29920,"text":"The University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":948049,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Imberger, Moss","contributorId":346638,"corporation":false,"usgs":false,"family":"Imberger","given":"Moss","email":"","affiliations":[{"id":29920,"text":"The University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":948050,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Williams, Brianna 0000-0003-3389-8251","orcid":"https://orcid.org/0000-0003-3389-8251","contributorId":204714,"corporation":false,"usgs":true,"family":"Williams","given":"Brianna","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948051,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Coleman, Rhys","contributorId":360980,"corporation":false,"usgs":false,"family":"Coleman","given":"Rhys","affiliations":[{"id":29920,"text":"The University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":948052,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70274146,"text":"70274146 - 2025 - Fish-assemblage and water-quality recovery with declining acidic deposition in Adirondack mountain streams, New York, USA","interactions":[],"lastModifiedDate":"2026-03-02T15:02:56.468026","indexId":"70274146","displayToPublicDate":"2025-10-24T07:54:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Fish-assemblage and water-quality recovery with declining acidic deposition in Adirondack mountain streams, New York, USA","docAbstract":"Long-term records of air-pollutant emissions and atmospheric deposition, as well as water quality in streams of the Adirondack Mountains of New York, USA, indicate that chemical recovery from acidic deposition is progressing. Although Brook Trout Salvelinus fontinalis (Mitchill, 1814) have recently repopulated several lakes, the degree to which fish assemblages and individual species populations have recovered in streams of the region is unknown. The United States Geological Survey sampled acid–base chemistry and fish assemblages at 42 Adirondack region streams (2014–2021), most of which were also sampled in 2 prior periods (primarily 1979–1984 and 1999), to determine the extent and degree of chemical and biological recovery and whether responses could be linked to regional declines in acidic deposition. Between 1990 and 2021, total annual emissions of SO2 and NOx declined nationwide by 94% and 87%, respectively, and paralleled 88% and 70% decreases in SO42− and NO3− concentrations, respectively, in wet deposition in the region. During this interval, mean acid neutralizing capacity increased by 19.9 µeq/L, pH increased by 0.33 units, and inorganic Al (Ali) decreased by 6.0 µmol/L at one continuously monitored stream, whereas mean acid neutralizing capacity increased by 38.5 µeq/L and mean Ali concentration decreased by ∼3.0 µmol/L during springtime at all 42 Adirondack region streams. Between the 1st and 3rd periods, mean fish-assemblage richness, density, and biomass at 40 sites increased by 112%, 236%, and 66%, respectively. Although mean Brook Trout density and biomass did not meaningfully change among periods, their distribution expanded from 20 sites in the strongly impacted sampling period (1979–1984) to 33 sites in the recovery period (2014–2021). Trends in pollutant emissions and deposition, water quality, and fish-assemblage metrics indicate aquatic ecosystems in many Adirondack mountain streams improved markedly following implementation of the 1990 Clean Air Act Amendments and recent N and S allowance-trading and emissions regulations.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/738871","usgsCitation":"Baldigo, B.P., George, S.D., and Lawrence, G.B., 2025, Fish-assemblage and water-quality recovery with declining acidic deposition in Adirondack mountain streams, New York, USA: Freshwater Science, v. 44, no. 4, p. 443-462, https://doi.org/10.1086/738871.","productDescription":"20 p.","startPage":"443","endPage":"462","ipdsId":"IP-154992","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":500670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack State Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.26665751178325,\n 44.60507553722792\n ],\n [\n -75.65331217554504,\n 44.14950624058149\n ],\n [\n -75.15224396884794,\n 43.1190030583347\n ],\n [\n -73.96958415264136,\n 42.98169264950411\n ],\n [\n -73.26534654292884,\n 43.78514049152075\n ],\n [\n -73.34519835014197,\n 44.82227470192748\n ],\n [\n -74.42802264458987,\n 44.85423999436294\n ],\n [\n -75.26665751178325,\n 44.60507553722792\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"4","edition":"2025","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":221408,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":214242,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956685,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272108,"text":"70272108 - 2025 - Linking bathythermal habitat selection to management of a migratory freshwater fish","interactions":[],"lastModifiedDate":"2025-11-17T15:44:10.712292","indexId":"70272108","displayToPublicDate":"2025-10-23T09:38:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Linking bathythermal habitat selection to management of a migratory freshwater fish","docAbstract":"For migratory fishes, habitat selection in dimensions of temperature and depth may be jointly used to define the bathythermal niche. Seasonal and long-term changes in the availability of bathythermal habitat can cause behavioral responses that have consequences for managing interjurisdictional fisheries that target migratory fishes. Management of such fisheries typically relies on standardized surveys to provide knowledge of stock status, yet changes in fish behavior may complicate interpretation of survey results. For example, changes in bathythermal habitat selection could uncouple fish availability from surveys designed to intercept migrating fish in predefined bathythermal habitats.
We applied electronic tagging methods to Lake Erie walleye (Sander vitreus) to address spatial management and stock assessment questions regarding bathythermal habitat. Specifically, we sought to determine if bathythermal habitat use varied in relation to body size, season, and time of day, with a particular focus on how these may influence availability to fisheries-independent surveys conducted during September-November.
As predicted, bathythermal habitat distribution fluctuated substantially throughout the year, was most limited during spawning months, and most expansive during fall migration. During the summer stratified months, walleye primarily selected epilimnetic habitats, despite the prevailing notion that colder hypolimnetic waters would be preferred during this time.
While our results did not support a previous hypothesis that smaller fish were more available to assessment survey gears, our results did support previous assertions that walleye were more active and available to suspended gill nets during late crepuscular periods in fall. Considering uncertainties in water quality and long-term warming trends, our case study could improve decisions regarding spatial management of this species in the context of independent water quality management objectives.
","language":"English","publisher":"BMC","doi":"10.1186/s40462-025-00570-5","usgsCitation":"Kraus, R., Faust, M., Colborne, S.F., and Vandergoot, C., 2025, Linking bathythermal habitat selection to management of a migratory freshwater fish: Movement Ecology, v. 13, 76, 16 p., https://doi.org/10.1186/s40462-025-00570-5.","productDescription":"76, 16 p.","ipdsId":"IP-169243","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":496723,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-025-00570-5","text":"Publisher Index Page"},{"id":496546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Detroit River, Lake Erie, Lake St. Clair","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.60511028915917,\n 43.124830511606035\n ],\n [\n -83.65975266356337,\n 43.124830511606035\n ],\n [\n -83.65975266356337,\n 40.97016521622899\n ],\n [\n -78.60511028915917,\n 40.97016521622899\n ],\n [\n -78.60511028915917,\n 43.124830511606035\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faust, Matthew","contributorId":268770,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":950097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colborne, Scott F.","contributorId":174737,"corporation":false,"usgs":false,"family":"Colborne","given":"Scott","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":950098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandergoot, Christopher","contributorId":340837,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":950099,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272160,"text":"70272160 - 2025 - Greenhouse gas emissions from ditches in oil palm plantations on tropical peatlands in Malaysia","interactions":[],"lastModifiedDate":"2025-11-18T15:20:15.149263","indexId":"70272160","displayToPublicDate":"2025-10-23T08:15:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Greenhouse gas emissions from ditches in oil palm plantations on tropical peatlands in Malaysia","docAbstract":"Tropical peatlands, which store 20% of global peat carbon, are increasingly threatened by conversion to alternative land-uses such as oil palm plantations, pulp wood plantations, crop growth or other economic activities. This transformation involves peatland drainage, which lowers water tables, exposes peat to oxygen, and alters greenhouse gas (GHG) emissions: increasing carbon dioxide (CO2) and nitrous oxide (N2O) fluxes while reducing methane (CH4) emissions from soils. However, drainage ditches created in the process may become significant sources of CH4 due to anoxic conditions. This study quantified GHG fluxes from drainage ditches in Sarawak, Malaysia, through spatial sampling conducted during the daytime in the transitional period between the drier and wetter seasons using portable trace gas analyzers. Median fluxes were 0.19 g CH4 m−2 d−1, 17.1 g CO2 m−2 d−1, and − 0.12 mg N2O m−2 d−1. Physical water parameters such as pH, oxygen concentration, temperature, and oxidation–reduction potential were found to be significant drivers of GHG fluxes. The median emissions from ditches in one hectare of land were 5.84 kg CO2 ha−1 d−1, 2.78 kg CH4 as CO2 eq ha−1 d−1, and − 0.001 kg N2O as CO2 eq ha−1 d−1. These findings underscore the role of drainage ditches as CH4 sources in tropical peatland agriculture, highlighting the need for further research into GHG management in these modified landscapes.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-21094-3","usgsCitation":"Kasak, K., Dronova, I., Soosaar, K., Melling, L., Xhuan, W.G., Sangok, F., Ranniku, R., Villa, J.A., Bansal, S., Peacock, M., and Mander, Ü., 2025, Greenhouse gas emissions from ditches in oil palm plantations on tropical peatlands in Malaysia: Scientific Reports, v. 15, 37126, 13 p., https://doi.org/10.1038/s41598-025-21094-3.","productDescription":"37126, 13 p.","ipdsId":"IP-170583","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":496731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-21094-3","text":"Publisher Index Page"},{"id":496583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Malaysia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 99.99937723563403,\n 6.756461538667807\n ],\n [\n 99.99937723563403,\n 2.710494555037542\n ],\n [\n 103.80214382028282,\n 2.710494555037542\n ],\n [\n 103.80214382028282,\n 6.756461538667807\n ],\n [\n 99.99937723563403,\n 6.756461538667807\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kasak, Kuno","contributorId":265844,"corporation":false,"usgs":false,"family":"Kasak","given":"Kuno","email":"","affiliations":[],"preferred":false,"id":950274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dronova, Iryna 0000-0003-3339-3704","orcid":"https://orcid.org/0000-0003-3339-3704","contributorId":272607,"corporation":false,"usgs":false,"family":"Dronova","given":"Iryna","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":950275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soosaar, Kaido","contributorId":362287,"corporation":false,"usgs":false,"family":"Soosaar","given":"Kaido","affiliations":[],"preferred":false,"id":950276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melling, Lulie","contributorId":260542,"corporation":false,"usgs":false,"family":"Melling","given":"Lulie","email":"","affiliations":[],"preferred":false,"id":950277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xhuan, Wong Guan","contributorId":362288,"corporation":false,"usgs":false,"family":"Xhuan","given":"Wong","middleInitial":"Guan","affiliations":[],"preferred":false,"id":950278,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sangok, Faustina","contributorId":362290,"corporation":false,"usgs":false,"family":"Sangok","given":"Faustina","affiliations":[],"preferred":false,"id":950279,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ranniku, Reti","contributorId":362292,"corporation":false,"usgs":false,"family":"Ranniku","given":"Reti","affiliations":[],"preferred":false,"id":950280,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Villa, Jorge A.","contributorId":362293,"corporation":false,"usgs":false,"family":"Villa","given":"Jorge","middleInitial":"A.","affiliations":[],"preferred":false,"id":950281,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950282,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Peacock, Michael","contributorId":362298,"corporation":false,"usgs":false,"family":"Peacock","given":"Michael","affiliations":[],"preferred":false,"id":950283,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mander, Ülo","contributorId":362300,"corporation":false,"usgs":false,"family":"Mander","given":"Ülo","affiliations":[],"preferred":false,"id":950284,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70273073,"text":"70273073 - 2025 - An approach to urban waterway assessment using holistic values and reciprocity","interactions":[],"lastModifiedDate":"2025-12-12T17:38:36.954815","indexId":"70273073","displayToPublicDate":"2025-10-22T10:21:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"An approach to urban waterway assessment using holistic values and reciprocity","docAbstract":"Current aquatic ecosystem assessment methods and tools often focus on physical, chemical, and biological indicators of ecosystem health. This approach to ecosystem assessment is not always straightforward to execute in urban environments and ignores potential connectivity between social and environmental outcomes. During a workshop at the Symposium on Urbanization and Stream Ecology in Brisbane, Australia in 2023 (SUSE6), we developed an approach to urban aquatic ecosystem assessment that incorporates a holistic perspective. Specifically, our approach considers both environmental (biological, chemical, and physical integrity) and social (community connection, human safety, resource use) values of urban waterways. This approach is inclusive of Indigenous perspectives, such as the concept of reciprocity, whereby consideration of both the environment and society leads to a healthy ecosystem. To highlight how this holistic assessment approach could be used, we present real-world examples that included assessing both environmental and societal values informed by reciprocity or balanced perspectives. This approach can be broadly applied and adapted to specific aquatic ecosystem conditions and projects, providing an inclusive, community-centered approach for assessing the health of waterways in urban environments.
","language":"English","publisher":"The University of Chicago Press Journals","doi":"10.1086/738639","usgsCitation":"Scoggins, M., Barrett, I.C., Margetts, B.I., Martí, E., Murphy, B.M., Roy, A.H., Shear, R.I., Sabat-Bonilla, S.S., Griffiths, N.A., Nanjappa, V., Mussett, K., Stirling, K.M., Chiblow, S., and Nolan, S., 2025, An approach to urban waterway assessment using holistic values and reciprocity: Freshwater Science, v. 44, no. 4, p. 633-659, https://doi.org/10.1086/738639.","productDescription":"27 p.","startPage":"633","endPage":"659","ipdsId":"IP-167469","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Scoggins, 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Although progress has been made in monitoring cyanotoxins in modern environments over recent decades, identifying the triggers of cyanotoxin release by cyanobacteria has yielded mixed results from experimental and analytical studies. Paleolimnological reconstructions can reveal whole-lake long-term changes, but few studies have directly measured cyanotoxins alongside other water quality proxies. Here, we investigated the drivers of sedimentary total microcystin (MC) concentrations on millennial scales in hypereutrophic Lakes Dora and Marian in central Florida, USA. We analyzed dated sediment records using paleolimnological techniques to reconstruct nutrient deposition, cyanobacteria abundance (photosynthetic pigments), and cyanotoxins (total MCs). The objective was to investigate the linkage between MC concentrations in the sediments with both biotic (cyanobacteria and other primary producers) and abiotic factors (nutrients and climate). We found that MC production occurred throughout the ∼7000-year period, progressing from periods of moderate to low, and then to high concentrations in both lakes. Statistical analyses showed that historical MC concentrations were correlated with sedimentary measurements of total phosphorus (TP), cyanobacteria abundance, and other primary producer groups, such as cryptophytes. However, there was only a minimal correspondence with climate proxies, such as charcoal and pollen, suggesting that internal nutrient cycling and human pressures were the dominant drivers of MC deposition. Our study demonstrates that cyanotoxins have occurred for millennia in both lakes with maintained relationships to nutrients and other environmental factors that existed both in historic and modern limnological conditions.
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However, environmental performance of these practices is variable in the working farm landscape. The Lower Chesapeake Bay research project within the USDA Long-Term Agroecosystem Research (LTAR) network has collaboratively developed satellite remote sensing algorithms to measure the performance and phenology of winter cover crops (aboveground biomass, nitrogen content, fractional cover, and emergence and termination dates) using no-cost Harmonized Landsat and Sentinel-2 multispectral satellite imagery. This research supports annual operational assessment of >28,000 fields per year in four states. Results document the impacts of agronomic management on conservation outcomes, support adaptive management of incentive payment structures, and can reduce the workload for conservation district staff by remotely verifying cover crop management. Additionally, super-spectral satellite applications have been developed to accurately map crop residue cover by measuring lignocellulose absorption in shortwave infrared wavelengths, producing a 7-year time series of tillage intensity maps for the Delmarva Peninsula. These remote sensing products can be used in decision support and modeling to estimate changes in nutrient, sediment, and carbon cycling resulting from conservation practice implementation in the working farm landscape. This manuscript provides an overview of remote sensing research findings and applications associated with the USDA LTAR and Conservation Effects Assessment Projects (CEAP), documenting a variety of previously published outcomes with update and expansion of techniques using additional unpublished data and analyses as appropriate.
","language":"English","publisher":"Wiley","doi":"10.1002/jeq2.70082","usgsCitation":"Hively, W.D., Gao, F., McCarty, G.W., Daughtry, C.S., Zhang, X., Jennewein, J., Thieme, A., Lamb, B.T., Keppler, J., Hapeman, C.J., Cosh, M., and Mirsky, S.B., 2025, Satellite assessment of winter cover crop and conservation tillage outcomes to support adaptive management in working landscapes: Journal of Environmental Quality, v. 54, no. 6, p. 1548-1571, https://doi.org/10.1002/jeq2.70082.","productDescription":"24 p.","startPage":"1548","endPage":"1571","ipdsId":"IP-174155","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":498052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.70082","text":"Publisher Index Page"},{"id":497934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Chesapeake Bay, Delmarva Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.968001494542,\n 38.9830420903468\n ],\n [\n -76.13945750419632,\n 38.41949313855301\n ],\n [\n -75.79643857812154,\n 38.461896436666535\n ],\n [\n -75.63401655681334,\n 39.0636830303699\n ],\n [\n -75.968001494542,\n 38.9830420903468\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"54","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Hively, W. 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2025 - GlASS - Global Aggregation of Stream Silica","interactions":[],"lastModifiedDate":"2025-12-02T16:14:50.459605","indexId":"70272653","displayToPublicDate":"2025-10-20T10:07:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"GlASS - Global Aggregation of Stream Silica","docAbstract":"Riverine silicon (Si) plays a vital role in governing primary production, water quality, and carbon cycling. Climate and land cover change have altered how dissolved Si (DSi) is processed on land, transported to rivers, and cycled through aquatic ecosystems. The Global Aggregation of Stream Silica (GlASS) database was constructed to assess changes in river Si concentrations and fluxes, their relationship to other nutrients (nitrogen (N) and phosphorus (P)), and to evaluate mechanisms driving the availability of Si. GlASS includes concentrations of DSi, dissolved inorganic N (NO3, NOx, and NH4), and dissolved inorganic P (as soluble reactive P or PO4-P) at daily to quarterly time steps from 1963 to 2024; daily discharge; and watershed characteristics for 421 rivers spanning eight climate zones. Original data sources are cited, data quality assurance workflows are public, and input files to a common load model are provided. GlASS offers critical data to address questions about patterns, controls, and trajectories of global river Si biogeochemistry and stoichiometry.
","language":"English","publisher":"Nature","doi":"10.1038/s41597-025-05937-2","usgsCitation":"Jankowski, K.J., Johnson, K., Lyon, N., Bush, S.A., Julian, P., Sethna, L.R., McKnight, D.M., McDowell, W.H., Wymore, A.S., Kortelainen, P., Laudon, H., Heindel, R.C., Poste, A., Shogren, A.J., Worrall, F., Mosley, L., Sullivan, P.L., and Carey, J.C., 2025, GlASS - Global Aggregation of Stream Silica: Scientific Data, v. 12, 1658, 12 p., https://doi.org/10.1038/s41597-025-05937-2.","productDescription":"1658, 12 p.","ipdsId":"IP-170409","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":497084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-025-05937-2","text":"Publisher Index 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,{"id":70272267,"text":"70272267 - 2025 - Land application of biosolid, livestock, and drilling wastes to US farmland: A potential pathway for the redistribution of contaminants in the environment","interactions":[],"lastModifiedDate":"2025-11-21T17:28:56.782335","indexId":"70272267","displayToPublicDate":"2025-10-20T07:56:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9161,"text":"Environmental Science: Processes & Impacts","active":true,"publicationSubtype":{"id":10}},"title":"Land application of biosolid, livestock, and drilling wastes to US farmland: A potential pathway for the redistribution of contaminants in the environment","docAbstract":"In the United States (U.S.), waste byproducts generated from the treatment of municipal waste (biosolids), production of livestock (livestock waste), and drilling of oil and gas wells (drilling waste) are commonly applied to agricultural lands. Although this can be a cost-effective reuse/disposal practice, there is limited research on the potential for contaminant exposures and effects on ecosystems, wildlife, and human health from such land applications. In this study, we conducted extensive chemical, microbial, and toxicity analyses of biosolid, livestock, and drilling wastes just prior to land application on agricultural lands at 34 sites across the U.S. Twenty-two analytical methods were used to determine potential contaminant exposures profiles for 452 organic and 114 inorganic chemicals, nine microbial groups, estrogenicity, and cytotoxicity. Analytical results document unique and substantial chemical, microbial, and toxicity profiles for these land-applied wastes. Of the three waste byproducts, biosolids contained the greatest concentrations of household chemicals, pesticides, pharmaceuticals, per-/polyfluoroalkyl substances, calcium, and phosphorus. Livestock waste contained the greatest concentrations of total and leachable dissolved organic carbon, biogenic hormones, mycotoxins, plant estrogens, total inorganic nitrogen, and potassium. Drilling waste contained the greatest concentrations of BTEX compounds (benzene, toluene, ethylbenzene, and xylenes), polycyclic aromatic hydrocarbons, rare-earth elements, barium, strontium, and uranium–thorium series radioisotopes. Biosolid and livestock wastes had greater culturable heterotrophic bacteria, halophilic bacteria, Escherichia coli (E. coli), enterococci, and staphylococci concentrations, and greater microbial diversity than drilling waste. Bioassay analyses indicated that exposure to contaminants in livestock wastes and biosolids could result in estrogenic effects, whereas exposure to contaminants in drilling waste could result in cytotoxic effects. Our study documents that current reuse/disposal practices for biosolid, livestock, and drilling wastes on agricultural lands could provide a potential pathway for the redistribution of unique and complex contaminant mixtures into the environment that have bioactive, endocrine disrupting, and carcinogenic characteristics. Results of this study provide a snapshot of chemical compositions and concentrations that can be used to inform the development of best-management practices to help maximize beneficial reuse of these wastes and minimize risk to the environment and human health.
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Blaine","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":950626,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Preston, Todd M. 0000-0002-8812-9233","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":204676,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950627,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"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":950628,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Varonka, Matthew S. 0000-0003-3620-5262","orcid":"https://orcid.org/0000-0003-3620-5262","contributorId":203231,"corporation":false,"usgs":true,"family":"Varonka","given":"Matthew S.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950629,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wilson, Michaelah C. 0000-0001-7052-9506","orcid":"https://orcid.org/0000-0001-7052-9506","contributorId":229469,"corporation":false,"usgs":true,"family":"Wilson","given":"Michaelah","email":"","middleInitial":"C.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950630,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70272454,"text":"70272454 - 2025 - Rare earth element-mineralized carbonatite in the Bear Lodge Alkaline Complex, USA—Ore genesis implications from fluid inclusion characterization","interactions":[],"lastModifiedDate":"2025-11-21T19:21:24.700308","indexId":"70272454","displayToPublicDate":"2025-10-17T08:54:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":732,"text":"American Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Rare earth element-mineralized carbonatite in the Bear Lodge Alkaline Complex, USA—Ore genesis implications from fluid inclusion characterization","docAbstract":"Rare earth element (REE) resources of the Bear Lodge Alkaline Complex, Wyoming, are hosted in variably leached carbonatite spatially related to diatreme breccia pipes. We investigated the genesis of REE and lesser-known gold resources through fluid inclusion analysis of carbonatite, fluorite breccia, and smoky quartz vein samples. Physicochemical characteristics of inclusion-trapped fluids were evaluated using petrography, microthermometry, Raman spectroscopy, decrepitate mound analysis, energy-dispersive spectroscopy, laser ablation inductively coupled plasma mass spectrometry, and noble gas isotope analysis.
Microthermometry results reveal three fluid types that affected carbonatite dikes within deeper zones that escaped near-surface, ore-grade REE enrichment: (1) high-temperature (330–432°C) magmatic fluid captured in fine-grained calcite; (2) REE-enriched alkali bicarbonate-sulfate brine; and (3) low-temperature (117–182°C) diluted magmatic or meteoric water. Multiphase brine-like inclusions contain burbankite, nahcolite, strontianite, celestine and alkali sulfate daughter crystals, linking them to early burbankite mineralization. Peripheral smoky quartz and fluorite occurrences at Smith Ridge, 1.5 km from the central carbonatite dike swarm, contain primary inclusions that are Cl-poor and rich in Na-HCO3-SO4, similar to secondary and pseudosecondary inclusions in carbonatites. Helium isotopes reveal a MORB-like source for carbonatite samples and an older crust signature at Smith Ridge, consistent with the proximal ridge-top exposures of Archean granite.
Results from this fluid inclusion study coupled with previous studies of carbonatite mineral paragenesis, show that light REEs (LREEs) were not mobilized great distances. Instead, burbankite crystallized within carbonatite from alkali bicarbonate fluids. With sodium retained in early burbankite, outward-emanating fluids enriched in potassium relative to sodium (higher K:Na) resulted in potassium–ferric iron metasomatism of silicate host rocks. This alkali fractionation was accompanied by fractionation of LREEs and heavy REEs (HREEs), with LREEs dominating the central carbonatite resources. In contrast, areas of peripheral REE mineralization at Bear Lodge are commonly characterized by higher HREE:LREE ratios. The K:Na ratio of associated fenites or alteration assemblages could be indicative of early crystallized burbankite in carbonatites and REE fractionation processes potentially leading to areas of concentrated HREEs with greater supply vulnerabilities.
","language":"English","publisher":"American Journal of Science","doi":"10.2475/001c.143992","usgsCitation":"Andersen, A.K., Olinger, D., and Bennett, M.M., 2025, Rare earth element-mineralized carbonatite in the Bear Lodge Alkaline Complex, USA—Ore genesis implications from fluid inclusion characterization: American Journal of Science, v. 325, 13, 30 p., https://doi.org/10.2475/001c.143992.","productDescription":"13, 30 p.","ipdsId":"IP-175385","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":496927,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2475/001c.143992","text":"Publisher Index Page"},{"id":496794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota, Wyoming","otherGeospatial":"Bear Lodge Alkaline Complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.73004963771243,\n 44.08376961090204\n ],\n [\n -109.73004963771243,\n 43.03710902132369\n ],\n [\n -99.73805313605138,\n 43.03710902132369\n ],\n [\n -99.73805313605138,\n 44.08376961090204\n ],\n [\n -109.73004963771243,\n 44.08376961090204\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"325","noUsgsAuthors":false,"publicationDate":"2025-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, Allen K. 0000-0002-6865-2561","orcid":"https://orcid.org/0000-0002-6865-2561","contributorId":217476,"corporation":false,"usgs":true,"family":"Andersen","given":"Allen","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olinger, Danielle A. 0000-0001-8375-5852 dolinger@usgs.gov","orcid":"https://orcid.org/0000-0001-8375-5852","contributorId":201968,"corporation":false,"usgs":true,"family":"Olinger","given":"Danielle A.","email":"dolinger@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Mitchell M. 0000-0001-9533-9557 mbennett@usgs.gov","orcid":"https://orcid.org/0000-0001-9533-9557","contributorId":199379,"corporation":false,"usgs":true,"family":"Bennett","given":"Mitchell","email":"mbennett@usgs.gov","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":950817,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272149,"text":"70272149 - 2025 - Emerging investigator series: Post-wildfire sediment geochemical characterization reveals manganese reactivity and a potential link to water quality impairment in the Gallinas Creek watershed, New Mexico","interactions":[],"lastModifiedDate":"2025-11-18T15:18:48.890592","indexId":"70272149","displayToPublicDate":"2025-10-16T09:12:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1566,"text":"Environmental Science: Processes and Impacts","active":true,"publicationSubtype":{"id":10}},"title":"Emerging investigator series: Post-wildfire sediment geochemical characterization reveals manganese reactivity and a potential link to water quality impairment in the Gallinas Creek watershed, New Mexico","docAbstract":"Water quality post-wildfire is often impaired by increased turbidity and elevated concentrations of elements such as manganese (Mn) and iron (Fe). Precipitation events exacerbate these issues, due in part to increased erosion and transport of sediment from hillslopes to surface water. Both Mn and Fe are major redox-active elements in sediments that drive a variety of biogeochemical cycles, precipitate adsorptive phases, and can themselves be drinking water contaminants. By investigating Mn and Fe sediment geochemistry in post-wildfire sediment deposits, related water quality hazards can be assessed. To establish and strengthen this connection, we analyzed the geochemistry of sediment deposits and surface water in the Gallinas Creek watershed, New Mexico over 1.5 years post-wildfire. Analyses included particle size analysis, water extractions, sequential extractions and aqua regia extractions to determine metal partitioning in sediment deposits. Data demonstrate Mn concentrations were distributed across labile and reactive fractions, such as the exchangeable and oxyhydroxide fractions, while Fe concentrations were mainly associated with the residual fraction. Manganese concentrations in aqua regia extractions and several fractions of sequential extractions were also strongly and significantly correlated with fine-grained sediment while the same pools of Fe concentrations were not. Dissolved Mn concentrations in surface water were elevated (>50 μg L−1) multiple times over the 1.5 years post-wildfire, highlighting a relationship between sediment geochemistry and water quality. This work shows Mn in sediments mobilized post-wildfire has an influence on water quality and highlights how further investigation into Mn sediment redox processes and mineralogy post-wildfire can inform risk assessments and resource management.
","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/d5em00326a","usgsCitation":"Tomaszewski, E.J., Murphy, S.F., Blake, J., Hornberger, M.I., and Clark, G.D., 2025, Emerging investigator series: Post-wildfire sediment geochemical characterization reveals manganese reactivity and a potential link to water quality impairment in the Gallinas Creek watershed, New Mexico: Environmental Science: Processes and Impacts, v. 27, p. 3551-3571, https://doi.org/10.1039/d5em00326a.","productDescription":"21 p.","startPage":"3551","endPage":"3571","ipdsId":"IP-178099","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":496582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Gallinas Creek watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.42908209638928,\n 35.722278130026694\n ],\n [\n -105.42908209638928,\n 35.59597276465334\n ],\n [\n -105.2152474885499,\n 35.59597276465334\n ],\n [\n -105.2152474885499,\n 35.722278130026694\n ],\n [\n -105.42908209638928,\n 35.722278130026694\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tomaszewski, Elizabeth Jean 0000-0001-5491-3989","orcid":"https://orcid.org/0000-0001-5491-3989","contributorId":362253,"corporation":false,"usgs":true,"family":"Tomaszewski","given":"Elizabeth","middleInitial":"Jean","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":950241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","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}],"preferred":true,"id":950242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hornberger, Michelle I. 0000-0002-7787-3446 mhornber@usgs.gov","orcid":"https://orcid.org/0000-0002-7787-3446","contributorId":1037,"corporation":false,"usgs":true,"family":"Hornberger","given":"Michelle","email":"mhornber@usgs.gov","middleInitial":"I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":950244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Gregory D. 0000-0003-0066-8193 gmclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0066-8193","contributorId":224364,"corporation":false,"usgs":true,"family":"Clark","given":"Gregory","email":"gmclark@usgs.gov","middleInitial":"D.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950245,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273394,"text":"70273394 - 2025 - The Southwestern Pond Turtle (Actinemys pallida) in Baja California, Mexico: New localities and persistent threats","interactions":[],"lastModifiedDate":"2026-01-12T15:21:37.652813","indexId":"70273394","displayToPublicDate":"2025-10-16T09:04:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1136,"text":"Bulletin of the Southern California Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The Southwestern Pond Turtle (Actinemys pallida) in Baja California, Mexico: New localities and persistent threats","docAbstract":"The Southwestern Pond Turtle (Actinemys pallida), the only native freshwater turtle in Baja California, is experiencing alarming population declines, echoing global patterns observed in freshwater turtles. We conducted comprehensive field surveys across the major drainages of northwestern Baja California to delineate the species' current distribution, identify critical threats to its persistence, and provide guidance for conservation actions. We documented the continued presence of A. pallida at 27 sites across 10 watersheds, ranging from sea level to 1,525 m in elevation. These include nine historically known sites and 18 newly recorded localities. The most pervasive threats we identified were habitat degradation, the proliferation of invasive aquatic species, and unsustainable water extraction. Despite these pressures, our findings confirm that A. pallida still occupies much of its historical range. However, urgent ecological research is needed to inform evidence-based strategies that ensure the long-term viability of this imperiled species.
","language":"English","publisher":"Southern California Academy of Sciences","doi":"10.3160/0038-3872-124.2.67","usgsCitation":"Valdez-Villavicencio, J.H., Peralta-García, A., Hollingsworth, B.D., Galina-Tessaro, P., Fisher, R.D., Alvarez, J.A., and Lara-Resendiz, R.A., 2025, The Southwestern Pond Turtle (Actinemys pallida) in Baja California, Mexico: New localities and persistent threats: Bulletin of the Southern California Academy of Sciences, v. 124, no. 2, p. 67-79, https://doi.org/10.3160/0038-3872-124.2.67.","productDescription":"13 p.","startPage":"67","endPage":"79","ipdsId":"IP-130361","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Baja California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117,\n 32.333\n ],\n [\n -117,\n 29.25\n ],\n [\n -114.75,\n 29.25\n ],\n [\n -114.75,\n 32.333\n ],\n [\n -117,\n 32.333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"124","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Valdez-Villavicencio, Jorge H.","contributorId":364990,"corporation":false,"usgs":false,"family":"Valdez-Villavicencio","given":"Jorge","middleInitial":"H.","affiliations":[{"id":87026,"text":"Conservación de Fauna del Noroeste, A.C., Ensenada Baja California, Mexico","active":true,"usgs":false}],"preferred":false,"id":953563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peralta-García, Anny","contributorId":303347,"corporation":false,"usgs":false,"family":"Peralta-García","given":"Anny","affiliations":[{"id":65771,"text":"Conservación de Fauna del Noroeste A.C., Ensenada, México","active":true,"usgs":false}],"preferred":false,"id":953564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hollingsworth, Bradford D.","contributorId":364991,"corporation":false,"usgs":false,"family":"Hollingsworth","given":"Bradford","middleInitial":"D.","affiliations":[{"id":16175,"text":"San Diego Natural History Museum","active":true,"usgs":false}],"preferred":false,"id":953566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Galina-Tessaro, Patricia","contributorId":169079,"corporation":false,"usgs":false,"family":"Galina-Tessaro","given":"Patricia","email":"","affiliations":[{"id":25409,"text":"Centro de Investigaciones Biologicas del Roroeste, La Paz, Mexico","active":true,"usgs":false}],"preferred":false,"id":953565,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert D. 0000-0002-2956-3240 rdfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":3913,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rdfisher@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alvarez, Jeff A.","contributorId":102404,"corporation":false,"usgs":true,"family":"Alvarez","given":"Jeff","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":953600,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lara-Resendiz, R. A.","contributorId":344327,"corporation":false,"usgs":false,"family":"Lara-Resendiz","given":"R.","middleInitial":"A.","affiliations":[{"id":25354,"text":"Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":953601,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273077,"text":"70273077 - 2025 - Museum records provide unique information about the distribution of the Yellow Lampmussel Lampsilis cariosa (Unionidae)","interactions":[],"lastModifiedDate":"2025-12-12T19:14:40.520059","indexId":"70273077","displayToPublicDate":"2025-10-15T12:07:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Museum records provide unique information about the distribution of the Yellow Lampmussel Lampsilis cariosa (Unionidae)","docAbstract":"Natural history museum records may provide unique information on the distribution of species that can supplement survey data collected by resource managers. However, there can be challenges to using museum data for analyses, such as spurious geographic information, misidentifications, and incorrect labeling. Museum records have been centralized by open-source repositories with flags for coordinate precision and out-of-range specimens, providing some information about record uncertainty in general. Verification of uncertain museum records could increase confidence in distribution data and improve understanding of biodiversity patterns and range dynamics through time. The goal of this study was to determine if museum records provide unique information about the distribution of the Yellow Lampmussel Lampsilis cariosa (Say, 1817), an at-risk freshwater mussel species. We created a dichotomous key based on a hierarchy of conchological characteristics to verify the taxonomic identity of flagged L. cariosa specimens and assessed records occurring outside of the species’ expected range as compiled from primary literature. Fifty percent of flagged specimens were confirmed as L. cariosa. Of the invalid records, 56% were misidentifications, mainly of other Lampsilis species. Overall, museum collections (1800s–present) contributed 32 unique watersheds not represented by modern survey records (1980s–present, comprising 92 watersheds) including 13 unexpected watersheds in regions of New York and Vermont (USA) and Québec and Ontario (Canada). Our study provides a reproducible method for the reverification of freshwater mussel museum records and highlights how these records can provide unique contributions to our understanding of the geographic range of a rare, at-risk mussel species.
","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/738615","usgsCitation":"Fedarick, J., Murphy, C.A., Record, S., and Roy, A.H., 2025, Museum records provide unique information about the distribution of the Yellow Lampmussel Lampsilis cariosa (Unionidae): Freshwater Science, v. 44, no. 4, p. 434-442, https://doi.org/10.1086/738615.","productDescription":"9 p.","startPage":"434","endPage":"442","ipdsId":"IP-174004","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"New York, Vermont","otherGeospatial":"Ontario, Quebec","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.15950260000896,\n 56.462837792190584\n ],\n [\n -95.77691469485542,\n 49.71284520828655\n ],\n [\n -85.11013420152203,\n 46.85470065182994\n ],\n [\n -81.95949958747218,\n 44.63027898467527\n ],\n [\n -79.51850001152886,\n 42.05772807401594\n ],\n [\n -73.39821683387511,\n 41.96978452451617\n ],\n [\n -72.36699219294661,\n 42.840968406530905\n ],\n [\n -71.94060238105281,\n 45.20492109068548\n ],\n [\n -64.41091936819154,\n 50.95131087236287\n ],\n [\n -72.30757566485309,\n 56.462837792190584\n ],\n [\n -90.15950260000896,\n 56.462837792190584\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fedarick, Jillian","contributorId":363950,"corporation":false,"usgs":false,"family":"Fedarick","given":"Jillian","affiliations":[],"preferred":false,"id":952246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Record, Sydne 0000-0001-7293-2155","orcid":"https://orcid.org/0000-0001-7293-2155","contributorId":353707,"corporation":false,"usgs":false,"family":"Record","given":"Sydne","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":952248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952249,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272210,"text":"70272210 - 2025 - Impact of warming and suspended terrigenous sediment on the Hawaiian reef coral Montipora capitata","interactions":[],"lastModifiedDate":"2025-11-19T16:30:18.383713","indexId":"70272210","displayToPublicDate":"2025-10-15T10:24:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Impact of warming and suspended terrigenous sediment on the Hawaiian reef coral Montipora capitata","title":"Impact of warming and suspended terrigenous sediment on the Hawaiian reef coral Montipora capitata","docAbstract":"Coral reefs near high human population areas suffer from sedimentation and increased turbidity due to coastal development. However, there is limited research on how key species respond to turbidity caused by terrigenous sediment and how this response may change with increased water temperatures. This study investigated the effects of ambient and elevated turbidity (+ 26 NTU) in combination with ambient (27.1 °C) and elevated temperature (+ 4.1 °C; 31.2 °C) on the dominant Hawaiian reef coral Montipora capitata, collected from two Kāneʻohe Bay watersheds with distinct environmental histories. Using intermittent flow respirometry, we found that acute (12 h) exposure to elevated turbidity and temperature impacted algal symbionts (Symbiodinium spp.) but not the coral host, suggesting a potential delayed host physiological response. Corals from south Kāneʻohe Bay, where restricted water circulation and urbanization have degraded water quality, were more sensitive to stressors than those from the less-impacted northern sites, indicating that physiological responses vary by location and may be influenced by watershed conditions. The findings suggest that while short-term turbidity and warming impact Symbiodinium spp. immediately, prolonged exposure may lead to cascading effects on the coral host. Understanding these species-specific and location-dependent responses enhances our ability to guide restoration and conservation efforts for coral ecosystems facing both local (turbidity) and global (warming) stressors.
","language":"English","publisher":"Springer","doi":"10.1007/s00338-025-02752-4","usgsCitation":"Good, A.M., Epps, A., Coberly, M., Rodgers, K.S., Prouty, N.G., Storlazzi, C.D., and Bahr, K.D., 2025, Impact of warming and suspended terrigenous sediment on the Hawaiian reef coral Montipora capitata: Coral Reefs, v. 44, p. 2065-2081, https://doi.org/10.1007/s00338-025-02752-4.","productDescription":"17 p.","startPage":"2065","endPage":"2081","ipdsId":"IP-172051","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":496751,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00338-025-02752-4","text":"Publisher Index Page"},{"id":496646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kāneʻohe Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -157.8410504477374,\n 21.5215747015302\n ],\n [\n -157.85940646338184,\n 21.495958106947427\n ],\n [\n -157.84288604930185,\n 21.45453507217063\n ],\n [\n -157.78873580315093,\n 21.403701043743894\n ],\n [\n -157.75615387538204,\n 21.416945226485694\n ],\n [\n -157.7497292699065,\n 21.451545325344867\n ],\n [\n -157.8410504477374,\n 21.5215747015302\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2025-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Good, Alexandra M.","contributorId":362412,"corporation":false,"usgs":false,"family":"Good","given":"Alexandra","middleInitial":"M.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":950449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Epps, Ashleigh","contributorId":362413,"corporation":false,"usgs":false,"family":"Epps","given":"Ashleigh","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":950450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coberly, Maile","contributorId":362414,"corporation":false,"usgs":false,"family":"Coberly","given":"Maile","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":950451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodgers, Kuʻulei S","contributorId":362415,"corporation":false,"usgs":false,"family":"Rodgers","given":"Kuʻulei","middleInitial":"S","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":950452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":950453,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":950454,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bahr, Keisha D.","contributorId":362417,"corporation":false,"usgs":false,"family":"Bahr","given":"Keisha","middleInitial":"D.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":950455,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272172,"text":"70272172 - 2025 - Re-oligotrophy in the Upper Mississippi River, USA, occurred in just a few years","interactions":[],"lastModifiedDate":"2025-12-15T16:40:30.851106","indexId":"70272172","displayToPublicDate":"2025-10-15T09:08:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Re-oligotrophy in the Upper Mississippi River, USA, occurred in just a few years","docAbstract":"Ecological systems can undergo large changes and regime shifts that are either catastrophic, neutral, or desirable. Rivers worldwide have recently undergone desirable regime shifts related to re-oligotrophy, which is a notable and ongoing reduction in concentrations of total suspended solids (TSS), total N, total P, or phytoplankton. For example, the Upper Mississippi River, USA, has experienced major water-quality changes in multiple river reaches in recent decades. In this study, we sought to understand the timing and magnitude of re-oligotrophy in the Mississippi River over a 20-y period. We used 2 topological data analysis algorithms to address hypotheses related to the following questions: What were the order and timing of water-quality changes? What was the time period over which the major changes occurred? What was the magnitude of water-quality change before and after change points (i.e., specific years when water-quality conditions transitioned abruptly to new states)? We examined 6 water-quality state variables that defined the ecological regime for the Upper Mississippi River. In one river reach, we found that strong reductions in phytoplankton/chlorophyll a had occurred first (2008), followed by total P (2013), and last in TSS (2014). In a downriver reach, we found notable reductions for chlorophyll a (2007) but substantial increases in TSS (2013). In both reaches, the water-quality changes trended over ≥15 y, but the largest changes and a likely regime shift occurred in just 6 y. The timing (2007–2014) and range (~6 y) of water-quality changes were similar between the 2 river reaches, but the directionality of the regime shift indicated re-oligotrophy for the upstream reach and water-quality degradation for the downstream reach. Topological methods applied to long-term datasets can aid our understanding of re-oligotrophication and degradation processes and may help resource managers restore desirable regimes.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/738457","usgsCitation":"Davis, K., Bungula, W., and Larson, D.M., 2025, Re-oligotrophy in the Upper Mississippi River, USA, occurred in just a few years: Freshwater Science, v. 44, no. 4, p. 409-421, https://doi.org/10.1086/738457.","productDescription":"13 p.","startPage":"409","endPage":"421","ipdsId":"IP-158399","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496580,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Killian","contributorId":315371,"corporation":false,"usgs":false,"family":"Davis","given":"Killian","email":"","affiliations":[{"id":68293,"text":"University of Wisconsin La Crosse","active":true,"usgs":false}],"preferred":false,"id":950301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bungula, Wako","contributorId":315367,"corporation":false,"usgs":false,"family":"Bungula","given":"Wako","email":"","affiliations":[{"id":68293,"text":"University of Wisconsin La Crosse","active":true,"usgs":false}],"preferred":false,"id":950302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, Danelle M. 0000-0001-6349-6267","orcid":"https://orcid.org/0000-0001-6349-6267","contributorId":228838,"corporation":false,"usgs":true,"family":"Larson","given":"Danelle","email":"","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950303,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272724,"text":"70272724 - 2025 - Variation in detection distance of Eastern Black Rail (Laterallus jamaicensis jamaicensis) vocalizations by autonomous recording units","interactions":[],"lastModifiedDate":"2025-12-05T14:54:18.218207","indexId":"70272724","displayToPublicDate":"2025-10-15T08:50:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Variation in detection distance of Eastern Black Rail (Laterallus jamaicensis jamaicensis) vocalizations by autonomous recording units","title":"Variation in detection distance of Eastern Black Rail (Laterallus jamaicensis jamaicensis) vocalizations by autonomous recording units","docAbstract":"Autonomous recording units (ARUs) are an emerging technology that allows for passive monitoring of soniferous animals and soundscapes. Over the past decade, ARUs have become a popular tool for monitoring birds for their potential to reduce the labor and costs of traditional in-person sampling procedures. However, uncertainty surrounding factors affecting detection of avian taxa using ARUs can inhibit their monitoring efficacy. Eastern Black Rails (Laterallus jamaicensis jamaicensis) are a secretive marsh bird listed as a federally threatened species in the U.S.A. Eastern Black Rail vocalizations are difficult to detect by field personnel, and numerous in-person surveys can be required to confirm their presence at a site. While ARUs are an alternative for detecting Eastern Black Rails, it is unknown at what maximum distance an ARU can detect their vocalizations. We evaluated factors affecting the detection distance of simulated vocalizations for ARUs in four marsh vegetation types under a range of environmental conditions. Detection distances varied across models, vocalization and vegetation types, and call volume. Kickeedo vocalizations were detected at greater distances, and detection distances increased for all vocalization types in open vegetation. High relative humidity increased detection distances, while louder background noise decreased detection distances. High wind speeds in cordgrass (Spartina spp.) decreased detection probability disproportionately relative to other vegetation types. Based on these results, considerations of survey area, vegetation type, and site condition can allow land managers and researchers to optimize Eastern Black Rail monitoring using ARUs. Given the substantial staff time needed to monitor this species, ARUs may increase the likelihood of detection and provide an efficient alternative to in-person monitoring.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.048.0206","usgsCitation":"Lamb, B.D., Levy, H.E., Beilke, E.A., Kross, C.S., Kappes, P.J., Sukiennik, M.J., Cox, J.A., Wilson, J.K., Woodrow, J.O., Butler, M.J., Zenzal, T.J., Fournier, A.M., and Woodrey, M.S., 2025, Variation in detection distance of Eastern Black Rail (Laterallus jamaicensis jamaicensis) vocalizations by autonomous recording units: Waterbirds, v. 48, no. 2, p. 1-12, https://doi.org/10.1675/063.048.0206.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-178264","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lamb, Blake D.","contributorId":363290,"corporation":false,"usgs":false,"family":"Lamb","given":"Blake","middleInitial":"D.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":951441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Levy, Heather E.","contributorId":363291,"corporation":false,"usgs":false,"family":"Levy","given":"Heather","middleInitial":"E.","affiliations":[{"id":33355,"text":"Tall Timbers Research Station and Land Conservancy","active":true,"usgs":false}],"preferred":false,"id":951442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beilke, Elizabeth A.","contributorId":363293,"corporation":false,"usgs":false,"family":"Beilke","given":"Elizabeth","middleInitial":"A.","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":951443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kross, Chelsea S.","contributorId":363295,"corporation":false,"usgs":false,"family":"Kross","given":"Chelsea","middleInitial":"S.","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":951444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kappes, Peter J.","contributorId":363297,"corporation":false,"usgs":false,"family":"Kappes","given":"Peter","middleInitial":"J.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":951445,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sukiennik, Matt J.","contributorId":363299,"corporation":false,"usgs":false,"family":"Sukiennik","given":"Matt","middleInitial":"J.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":951446,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cox, James A.","contributorId":363301,"corporation":false,"usgs":false,"family":"Cox","given":"James","middleInitial":"A.","affiliations":[{"id":33355,"text":"Tall Timbers Research Station and Land Conservancy","active":true,"usgs":false}],"preferred":false,"id":951447,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilson, Jennifer K.","contributorId":363303,"corporation":false,"usgs":false,"family":"Wilson","given":"Jennifer","middleInitial":"K.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951448,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Woodrow, Jarrett O.","contributorId":363305,"corporation":false,"usgs":false,"family":"Woodrow","given":"Jarrett","middleInitial":"O.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951449,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Butler, Matthew J.","contributorId":363307,"corporation":false,"usgs":false,"family":"Butler","given":"Matthew","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951450,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zenzal, Theodore J. 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