The U.S. Fish and Wildlife Service National Elk Refuge (NER) in Jackson, Wyoming, supplementally feeds Cervus elaphus canadensis (elk) and Bison bison (American bison) during winter months, but the costs and benefits of this management strategy are being reevaluated considering the potential effects of chronic wasting disease (CWD) on elk. U.S. Geological Survey scientists worked with the U.S. Fish and Wildlife Service on a structured decision-making process that considered five alternative feeding strategies and their effects on bison, elk, and humans. This chapter focuses on elk population dynamics and CWD using computer models. Our modeling results highlight a short-versus long-term tradeoff between the continue feeding and no feeding alternatives. Management alternatives associated with a cessation of supplemental feeding were assumed to make elk more susceptible to severe winters, resulting in initially lower population sizes and less CWD transmission. The increased CWD prevalence and transmission associated with the continue feeding alternative resulted in lower elk population sizes by year 20 (mean=6,700, standard deviation=1,600 in the analysis area) in 70 percent of simulations compared to no feeding (mean=8,400, standard deviation=1,500). No feeding alternatives resulted in higher elk populations than the continue feeding alternative between years 7 and 13 when CWD prevalence exceeded 20 percent in the Jackson elk herd. The increased harvest alternative minimized CWD and natural mortality in 83 out of 100 simulations compared to the continue feeding alternative.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Decision analysis in support of the National Elk Refuge Bison and Elk Management Plan","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255076B","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture, National Park Service, U.S. Fish and Wildlife Service, and Wyoming Game and Fish Department","programNote":"Ecosystems Mission Area—Biological Threats & Invasive Species Program and the Environmental Health Program","usgsCitation":"Cross, P.C., Cook, J.D., and Cole, E.K., 2025, Predictions of elk and chronic wasting disease dynamics at the National Elk Refuge in Jackson, Wyoming, and surrounding areas, chap. B of Cook, J.D., and Cross, P.C., eds., Decision analysis in support of the National Elk Refuge bison and elk management plan: U.S. Geological Survey Scientific Investigations Report 2025–5076, 22 p., https://doi.org/10.3133/sir20255076B. [Supersedes USGS Scientific Investigations Report 2024–5119.]","productDescription":"Report: vi, 22 p.; Software Release","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":494164,"rank":6,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P13PPHA9","text":"USGS software release","linkHelpText":"- Software code for simulating elk and chronic wasting disease dynamics on the National Elk Refuge (version 2.0)"},{"id":494126,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5076/b/coverthb.jpg"},{"id":494140,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5076/b/sir20255076B.pdf","text":"Report","size":"4.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5076B PDF"},{"id":494141,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255076B/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5076B HTML"},{"id":494142,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5076/b/sir20255076B.XML","description":"SIR 2025-5076B XML"},{"id":494143,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5076/b/images"}],"country":"United States","state":"Wyoming","otherGeospatial":"National Elk Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.78225266437141,\n 43.46790181387567\n ],\n [\n -110.72445411600302,\n 43.480764457816235\n ],\n [\n -110.70981181708308,\n 43.502568770827935\n ],\n [\n -110.6897749869821,\n 43.51262964481907\n ],\n [\n -110.6628023310768,\n 43.52213004158219\n ],\n [\n -110.64353614828745,\n 43.53665716685947\n ],\n [\n -110.62349931818646,\n 43.55620738705895\n ],\n [\n -110.5972973095928,\n 43.598637460483474\n ],\n [\n -110.59883860421601,\n 43.62653567653447\n ],\n [\n -110.6520132687147,\n 43.62207283164909\n ],\n [\n -110.6897749869821,\n 43.60477617840215\n ],\n [\n -110.73216058911865,\n 43.56458411181504\n ],\n [\n -110.74680288803886,\n 43.517100606095084\n ],\n [\n -110.76067453964718,\n 43.50480466552287\n ],\n [\n -110.78225266437141,\n 43.46790181387567\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Center Director, Northern Rocky Mountain Science Center
U.S. Geological Survey
2327 University Way, Suite 2
Bozeman, MT 59715
Premise
Clonality, a form of asexual reproduction and spread, is common among invasive plants, though sexual reproduction via seeds is often still important for their long-range dispersal. In small populations, clonality has been hypothesized to interfere with sexual reproduction by limiting outcrossing opportunities of a plant.
Methods
We developed a structural equation model based on estimates of genetic diversity and seed production of Lepidium draba, a problematic invasive clonal plant, at 26 sites in Colorado to test whether site characteristics relating to small founder populations resulted in low genetic diversity and sexual reproduction. The next year, in pollen supplementation experiments at six sites (three with high genetic diversity, three with low), we tested whether populations with low genetic diversity were limited by non-self pollen.
Results
Large populations and populations associated with rivers tended to have higher genetic diversity. Percentage seed fill and total seed production were considerably higher at sites with higher genetic diversity. At populations with low genetic diversity, supplementation with pollen from outside of the site, but not from within the site, increased seed production. At populations with high genetic diversity, pollen supplementation from off-site did not increase seed production.
Conclusions
Our study shows that, in low-diversity populations that are dominated by a few large clones, L. draba produces few seeds compared to high-diversity populations and that this appears to be due to limited availability of non-self pollen. The data indicate that low genetic diversity decreases sexual reproduction, which may greatly reduce long-distance dispersal from these populations.
","language":"English","publisher":"Botanical Society of America","doi":"10.1002/ajb2.70083","usgsCitation":"Pearse, I.S., Becker, Z., Ode, P.J., Gaskin, J., and West, N., 2025, Low genetic diversity in populations of a clonal invasive plant limits sexual reproduction: American Journal of Botany, v. 112, no. 8, e70083, https://doi.org/10.1002/ajb2.70083.","productDescription":"e70083","ipdsId":"IP-173965","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":498042,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ajb2.70083","text":"Publisher Index Page"},{"id":497201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","volume":"112","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":951717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Becker, Zoe","contributorId":248271,"corporation":false,"usgs":false,"family":"Becker","given":"Zoe","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":951718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ode, Paul J.","contributorId":197314,"corporation":false,"usgs":false,"family":"Ode","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":951719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaskin, John F.","contributorId":224961,"corporation":false,"usgs":false,"family":"Gaskin","given":"John F.","affiliations":[{"id":41006,"text":"USDA ARS, Sidney, MT","active":true,"usgs":false}],"preferred":false,"id":951720,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"West, Natalie","contributorId":293501,"corporation":false,"usgs":false,"family":"West","given":"Natalie","email":"","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":951721,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70270751,"text":"70270751 - 2025 - Magnitude, depth and methodological variations of spectral stress drop within the SCEC/USGS Community Stress Drop Validation Study using the 2019 Ridgecrest Earthquake Sequence","interactions":[],"lastModifiedDate":"2025-12-01T16:26:29.56428","indexId":"70270751","displayToPublicDate":"2025-08-14T08:10:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Magnitude, depth and methodological variations of spectral stress drop within the SCEC/USGS Community Stress Drop Validation Study using the 2019 Ridgecrest Earthquake Sequence","docAbstract":"We present the first ensemble analysis of the 56 different sets of results submitted to the ongoing Community Stress Drop Validation Study using the 2019 Ridgecrest, California, earthquake sequence. Different assumptions and methods result in different estimation of the source contribution to recorded seismograms, and hence to the source parameters (principally corner frequency, fc, spectral stress drop, Δσ, and seismic moment, M0) obtained from modeling calculated source spectra. For earthquakes smaller than magnitude (M) 2.5 there is negligible correlation between the fc values obtained by different studies, implying that no present method is reliable using available data. For larger magnitude events, correlation between fc measurements of different studies, within even a small M range is always higher than spectral Δσ, because the fc measurements simply reflect the underlying physical decrease in fc with increasing M. We model the observed trends of submitted fc with both magnitude and depth. Most methods report an increase in spectral Δσ with M, although a magnitude‐invariant spectral Δσ is within the confidence limits. The depth dependence is smaller and depends on whether a study allows attenuation to vary with source depth; a combination of depth‐dependent attenuation correction, and depth‐dependent shear‐wave velocity can compensate for reported depth trends. We model the submitted values to remove differing M and depth variation to investigate the relative interevent variability. We find consistent relative variation between individual events, and also lower relative spectral Δσ in the northwest of the aftershock sequence, and higher on the cross fault and in the region of main fault intersection. This large‐scale comparison implies that absolute spectral Δσ estimates are dependent on the methods used; studies of different regions or using different methods should not be directly compared and improved constraints on path and site corrections are needed to resolve these absolute spectral Δσ differences.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250056","usgsCitation":"Abercrombie, R., and Baltay Sundstrom, A.S., 2025, Magnitude, depth and methodological variations of spectral stress drop within the SCEC/USGS Community Stress Drop Validation Study using the 2019 Ridgecrest Earthquake Sequence: Bulletin of the Seismological Society of America, v. 115, no. 6, p. 2741-2768, https://doi.org/10.1785/0120250056.","productDescription":"28 p.","startPage":"2741","endPage":"2768","ipdsId":"IP-177230","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":496944,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120250056","text":"Publisher Index Page"},{"id":494533,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Ridgecrest earthquake sequence","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.8,\n 36\n ],\n [\n -117.8,\n 35.5\n ],\n [\n -117.3,\n 35.5\n ],\n [\n -117.3,\n 36\n ],\n [\n -117.8,\n 36\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Abercrombie, Rachel E.","contributorId":293131,"corporation":false,"usgs":false,"family":"Abercrombie","given":"Rachel E.","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":946996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":946997,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70272154,"text":"70272154 - 2025 - Some of these are not like the others: Relative thermal sensitivity among anuran species of the Southeast United States","interactions":[],"lastModifiedDate":"2025-11-18T14:57:05.681157","indexId":"70272154","displayToPublicDate":"2025-08-14T07:50:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Some of these are not like the others: Relative thermal sensitivity among anuran species of the Southeast United States","docAbstract":"Estimating how close a species is to its upper thermal limits (i.e., warming tolerance, a thermal sensitivity index) and how that proximity changes across space enables spatially explicit identification of species with increased extinction risk as temperatures increase. Yet, thermal sensitivity is often difficult to calculate because it is the result of many traits. We aimed to synthesize multiple traits into a single estimate of relative terrestrial thermal sensitivity for 13 anuran species in the southeastern United States. We employed models that incorporate traits and microclimate variation to (1) estimate species warming tolerance (the difference between species critical thermal maximum and modeled operative temperature, an estimate of body temperature) and (2) investigate how warming tolerance varied with latitude (whereby latitude represents different temperature regimes and external drivers of thermal sensitivity). We ran mechanistic niche models across a 12° latitudinal gradient and 10 years to estimate individual operative temperature. We calculated the minimum, 25th percentile (hottest quarter), and median daily minimum warming tolerance. Estimates of minimum warming tolerance spanned −5 to 10°C (Lithobates palustris and Gastrophryne carolinensis respectively) and differed among species. For most species, modeled operative temperatures exceeded species' critical thermal maximum during extreme warm temperatures (i.e., heat waves) in part of their range, and warming tolerance increased with latitude. During heat waves, five species had lower warming tolerance at higher latitudes, and three species' warming tolerance did not change with latitude. We identified species that are approaching their thermal limits in the Southeast and characterized spatial patterns of warming tolerance. Increased temperatures could increase anuran extinction risk, posing an additional challenge for threatened anuran species. Spatial patterns of warming tolerance were not consistent among species in our study, highlighting that patterns identified at higher taxonomic categories could be inconsistent at lower taxonomic categories.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70366","usgsCitation":"Dubose, T.P., Moore, C.E., Farallo, V.R., Benson, A., Hopkins, W.A., Silknetter, S., and Mims, M.C., 2025, Some of these are not like the others: Relative thermal sensitivity among anuran species of the Southeast United States: Ecosphere, v. 16, no. 8, e70366, 14 p., https://doi.org/10.1002/ecs2.70366.","productDescription":"e70366, 14 p.","ipdsId":"IP-166843","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496728,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70366","text":"Publisher Index Page"},{"id":496577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"southeastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.41804252774992,\n 36.980922621562925\n ],\n [\n -94.4596379144605,\n 30.044554744020395\n ],\n [\n -91.28114692202321,\n 29.07626615276368\n ],\n [\n -83.90795717411982,\n 29.51964718386809\n ],\n [\n -81.76388579010543,\n 24.772803573346096\n ],\n [\n -79.01903146054572,\n 25.003689133593937\n ],\n [\n -81.07385800159477,\n 31.309972711185175\n ],\n [\n -73.91922042682097,\n 36.25552154485884\n ],\n [\n -78.18436709638208,\n 36.980922621562925\n ],\n [\n -94.41804252774992,\n 36.980922621562925\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Dubose, Traci P. 0000-0002-9309-4397","orcid":"https://orcid.org/0000-0002-9309-4397","contributorId":362263,"corporation":false,"usgs":true,"family":"Dubose","given":"Traci","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":950258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Chloe E.","contributorId":362264,"corporation":false,"usgs":false,"family":"Moore","given":"Chloe","middleInitial":"E.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":950259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farallo, Vincent R.","contributorId":362265,"corporation":false,"usgs":false,"family":"Farallo","given":"Vincent","middleInitial":"R.","affiliations":[{"id":64967,"text":"University of Scranton","active":true,"usgs":false}],"preferred":false,"id":950260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benson, Abigail 0000-0002-4391-107X","orcid":"https://orcid.org/0000-0002-4391-107X","contributorId":352933,"corporation":false,"usgs":false,"family":"Benson","given":"Abigail","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":950261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hopkins, William A.","contributorId":362267,"corporation":false,"usgs":false,"family":"Hopkins","given":"William","middleInitial":"A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":950262,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Silknetter, Samuel","contributorId":292585,"corporation":false,"usgs":false,"family":"Silknetter","given":"Samuel","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":950263,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mims, Meryl C.","contributorId":362273,"corporation":false,"usgs":false,"family":"Mims","given":"Meryl","middleInitial":"C.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":950264,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70270300,"text":"70270300 - 2025 - Turning trash into treasure: Leveraging discarded filters for national-scale aquatic eDNA biomonitoring","interactions":[],"lastModifiedDate":"2025-08-14T14:55:37.921682","indexId":"70270300","displayToPublicDate":"2025-08-13T09:48:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12812,"text":"Aquaculture, Fish and Fisheries","onlineIssn":"2693-8847","active":true,"publicationSubtype":{"id":10}},"title":"Turning trash into treasure: Leveraging discarded filters for national-scale aquatic eDNA biomonitoring","docAbstract":"Monitoring biodiversity changes over large spatiotemporal scales is critical for effective ecosystem conservation and management. This study investigates the potential of environmental DNA (eDNA) metabarcoding to enhance national-scale biomonitoring of freshwater diversity by leveraging discarded filters associated with routine water quality sampling from the U.S. Geological Survey's (USGS) National Water Quality Network (NWQN). We tested 375 samples from 103 NWQN sites for eDNA of native and non-native fish and found that 52% of the filters yielded fish eDNA for a total of 70 fish species detections. Of the filters that had fish eDNA present, an average of 3.7 species were detected. Benchmarking these results to USGS's Aquatic Gap Analysis Project (AGAP)—which includes both field-verified observations along with predictive models derived from fish capture and landscape predictor datasets—we found that eDNA from these filters detected only a fraction of the observed and expected fish diversity for these sites. 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0000-0001-6561-3244","orcid":"https://orcid.org/0000-0001-6561-3244","contributorId":359618,"corporation":false,"usgs":false,"family":"Crane","given":"Joseph","affiliations":[{"id":85882,"text":"Jonah Ventures","active":true,"usgs":false}],"preferred":false,"id":945959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":945960,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271256,"text":"70271256 - 2025 - Increased soil greenhouse gas emissions from the combined use of cover crops and no‐tillage in producer‐ managed fields","interactions":[],"lastModifiedDate":"2025-09-03T15:43:33.763306","indexId":"70271256","displayToPublicDate":"2025-08-13T08:38:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Increased soil greenhouse gas emissions from the combined use of cover crops and no‐tillage in producer‐ managed fields","docAbstract":"Cover crop adoption offers multiple benefits and climate mitigation potential for agroecosystems, but is still an underutilized conservation practice. Recently, the combined use of cover cropping plus no-tillage (CCNT) has been increasingly promoted to achieve its synergistic effectiveness. Yet, how this combined practice affects soil greenhouse gas (GHG) emission remains a topic of debate. Existing studies are predominantly based on research-managed settings and often fail to assess all three major GHGs of carbon dioxide (CO2), nitrous oxide (N2O), and methane (CH4). To address these knowledge gaps, this study conducted a 30-month monitoring from producer-managed fields to quantify the soil greenhouse gas responses to CCNT compared to no-tillage (NT) alone. The findings showed that CCNT increased the soil global warming potential (GWP) by 15.2% relative to NT. CO2 is the main contributor, accounting for over 91.7% of the total GWP. On average, the daily fluxes of CO2, N2O, and CH4 were increased by 16.2%, 32.3%, and 55.6% under CCNT, respectively. Meteorological variables explained 85.3% of the CO2 increase and 46.1% of the N2O increase associated with CCNT. Furthermore, two types of CCNT practices differed in GHG emission responses, though both strategies significantly reduced nitrogen losses. These quantitative results, derived from actual production systems, provide informed decision-making among local producers regarding the adoption of cover crops. Moreover, this field-based evidence offers a robust empirical foundation for future modeling efforts aimed at assessing the ecological benefits of cover crops under varying climatic and soil conditions.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EF006009","usgsCitation":"Peng, Y., Jacinthe, P., Dobrowolski, E.G., and Wang, L., 2025, Increased soil greenhouse gas emissions from the combined use of cover crops and no‐tillage in producer‐ managed fields: Earth's Future, v. 13, no. 8, e2025EF006009, 19 p., https://doi.org/10.1029/2025EF006009.","productDescription":"e2025EF006009, 19 p.","ipdsId":"IP-174880","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":495184,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025ef006009","text":"Publisher Index Page"},{"id":495153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","city":"Fort Wayne","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.34304616732317,\n 41.22935710388364\n ],\n [\n -85.34304616732317,\n 40.99002813942323\n ],\n [\n -84.942455802017,\n 40.99002813942323\n ],\n [\n -84.942455802017,\n 41.22935710388364\n ],\n [\n -85.34304616732317,\n 41.22935710388364\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Peng, Yu 0000-0003-0043-9075","orcid":"https://orcid.org/0000-0003-0043-9075","contributorId":360866,"corporation":false,"usgs":false,"family":"Peng","given":"Yu","affiliations":[{"id":86113,"text":"Department of Earth and Environmental Sciences, Indiana University Indianapolis","active":true,"usgs":false}],"preferred":false,"id":947801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacinthe, Pierre-Andre 0000-0002-2598-7169","orcid":"https://orcid.org/0000-0002-2598-7169","contributorId":360867,"corporation":false,"usgs":false,"family":"Jacinthe","given":"Pierre-Andre","affiliations":[{"id":86113,"text":"Department of Earth and Environmental Sciences, Indiana University Indianapolis","active":true,"usgs":false}],"preferred":false,"id":947802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dobrowolski, Edward G. 0000-0001-9840-4609 edobrowo@usgs.gov","orcid":"https://orcid.org/0000-0001-9840-4609","contributorId":5555,"corporation":false,"usgs":true,"family":"Dobrowolski","given":"Edward","email":"edobrowo@usgs.gov","middleInitial":"G.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":947803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Lixin","contributorId":300466,"corporation":false,"usgs":false,"family":"Wang","given":"Lixin","affiliations":[{"id":65165,"text":"Department of Earth Sciences, Indiana University–Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA.","active":true,"usgs":false}],"preferred":false,"id":947804,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270656,"text":"70270656 - 2025 - Multi-scale habitat characteristics influence Paleback Darter occupancy and detection probability","interactions":[],"lastModifiedDate":"2025-09-09T14:59:39.006613","indexId":"70270656","displayToPublicDate":"2025-08-13T08:34:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale habitat characteristics influence Paleback Darter occupancy and detection probability","docAbstract":"Objective
The limited distribution of the Paleback Darter Etheostoma pallididorsum, which is often associated with dynamic headwater streams, makes the species vulnerable to changes in its environment in west-central Arkansas. A detailed understanding of habitat characteristics that support the species at multiple spatial scales is limited. This project assessed the relative influences of local- and broadscale habitat characteristics on Paleback Darter occupancy and detection probability.
Methods
Backpack electrofishing was performed, and a mix of in situ and remote habitat characteristics was linked to the Paleback Darter data. A single-season occupancy model was used to examine factors influencing Paleback Darter occupancy. Candidate models were ranked using Akaike's information criterion corrected for small sample sizes.
Results
A total of 158 Paleback Darters were collected at 13 sites during 35 of the 150 surveys. Paleback Darter occupancy and detection probability were estimated to be 0.26 (95% CI = 0.16–0.40) and 0.90 (95% CI = 0.75–0.96), respectively. Distance from springs was negatively related to Paleback Darter occupancy.
Conclusions
Springs appear to be a key in the Paleback Darter's life history strategy, and spring preservation is likely vital to the species’ conservation.
","language":"English","publisher":"American Fisheries Society","doi":"10.1093/tafafs/vnaf033","usgsCitation":"Hartman, M.L., Morris, K.M., Spurgeon, J.J., and Lochmann, S.E., 2025, Multi-scale habitat characteristics influence Paleback Darter occupancy and detection probability: Transactions of the American Fisheries Society, v. 154, no. 5, p. 585-594, https://doi.org/10.1093/tafafs/vnaf033.","productDescription":"10 p.","startPage":"585","endPage":"594","ipdsId":"IP-170555","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494526,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"154","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Hartman, Maxwell L.","contributorId":360092,"corporation":false,"usgs":false,"family":"Hartman","given":"Maxwell","middleInitial":"L.","affiliations":[{"id":37007,"text":"Arkansas Game and Fish Commission","active":true,"usgs":false}],"preferred":false,"id":946780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morris, Katie M.","contributorId":360095,"corporation":false,"usgs":false,"family":"Morris","given":"Katie","middleInitial":"M.","affiliations":[{"id":85969,"text":"Arkansas Natural Heritage Commission","active":true,"usgs":false}],"preferred":false,"id":946781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spurgeon, Jonathan J. 0000-0002-6888-5867","orcid":"https://orcid.org/0000-0002-6888-5867","contributorId":304259,"corporation":false,"usgs":true,"family":"Spurgeon","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lochmann, Steve E.","contributorId":360096,"corporation":false,"usgs":false,"family":"Lochmann","given":"Steve","middleInitial":"E.","affiliations":[{"id":81661,"text":"University of Arkansas at Pine Bluff","active":true,"usgs":false}],"preferred":false,"id":946783,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269818,"text":"ofr20251044 - 2025 - Insights and strategic opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop","interactions":[{"subject":{"id":70269818,"text":"ofr20251044 - 2025 - Insights and strategic opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop","indexId":"ofr20251044","publicationYear":"2025","noYear":false,"displayTitle":"Insights and Strategic Opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop","title":"Insights and strategic opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop"},"predicate":"IS_ADDENDUM_TO","object":{"id":70226853,"text":"cir1490 - 2021 - Integrated science for the study of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in the environment—A strategic science vision for the U.S. Geological Survey","indexId":"cir1490","publicationYear":"2021","noYear":false,"title":"Integrated science for the study of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in the environment—A strategic science vision for the U.S. Geological Survey"},"id":1}],"lastModifiedDate":"2026-02-03T15:00:44.018949","indexId":"ofr20251044","displayToPublicDate":"2025-08-11T13:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1044","displayTitle":"Insights and Strategic Opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop","title":"Insights and strategic opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop","docAbstract":"In 2021, the U.S. Geological Survey (USGS) published Circular 1490 titled, “Integrated Science for the Study of Perfluoroalkyl and Polyfluoroalkyl Substances (PFAS) in the Environment: A Strategic Science Vision for the U.S. Geological Survey” (Tokranov and others, 2021). Circular 1490 was created to be a resource for USGS scientists prioritizing and planning research related to per- and polyfluoroalkyl substances (PFAS) and to be a guide for developing partnerships with other scientists, State and Federal agencies, and stakeholders engaged in PFAS research and management and mitigation of the environmental and human-health effects of PFAS. This USGS PFAS Strategic Science Vision document was intended to be the foundation for a “living strategic vision,” periodically providing updates on the state of USGS PFAS research, emerging PFAS data gaps and needs, and progress on interagency and stakeholder PFAS partnerships and priorities. To meet this objective, the USGS planned to host an Interagency and Stakeholder PFAS Workshop every 2–3 years.
During September 10–12, 2024, the USGS hosted the first Interagency and Stakeholder PFAS Workshop in Reston, Virginia. The Workshop brought together experts from other Federal agencies (U.S. Environmental Protection Agency, National Institute of Environmental Health Sciences, Food and Drug Administration, Department of Defense [Air Force, Army]), State agencies (Washington Fish and Wildlife, Virginia Department of Transportation), and academia (Harvard University, University of Maryland) to address key challenges relating to the measurement and modeling of PFAS and the implications for environmental health. Participants engaged in in-depth discussions centered around six pivotal topics related to PFAS: (1) sampling protocols, methods and interpretation; (2) environmental sources, source apportionment, and occurrence; (3) environmental fate and transport; (4) human and wildlife exposure routes and risk; (5) bioconcentration, bioaccumulation, and biomagnification; and (6) ecotoxicology and effects. Each topic had three breakout sessions.
A recurrent theme of workshop discussions was how data on a nationwide scale for PFAS occurrence in various environmental matrices, including air, water, food crops, biota, soil, and streambed sediment could help to advance scientific understanding. Participants noted significant geospatial data gaps, particularly in the midwestern and southern United States and the Pacific Northwest. PFAS data collection tends to be more robust along the eastern seaboard and in California.
Participants stressed how enhancing the integration of large and small datasets across various agencies could help to support national scale understanding of PFAS. To address these gaps, attendees suggested leveraging datasets from Federal entities like the USGS and the U.S. Department of Defense, State agencies, and municipal utility services to develop predictive contaminant detection and transport models. Improved coordination between water quality programs and USGS research could help to facilitate access to valuable data, leading to comprehensive databases that inform PFAS point (wastewater treatment plants and landfills) and nonpoint (runoff from land, atmospheric deposition, food packaging) sources, environmental transport mechanisms, environmental detection and concentrations, potential exposure routes, and health effects on different biota, including humans. A specific request was made to develop a map demarking the depth of modern (1953 or later) groundwater, which is susceptible to surface-derived anthropogenic (that is, human-made) contamination, based on tritium-age dating. Emphasis was placed on incorporation of hydrology, groundwater flow paths, groundwater–surface water interactions, and landscape factors in predictive statistical models as a step to improve contaminant source identification and tracking.
Molecular fingerprinting approaches garnered attention as techniques to link specific PFAS mixtures detected in a sample to environmental sources and levels in biota (Dávila-Santiago and others, 2022). Integrating data from abiotic (that is, water, soil, and air) and biotic (that is, living organisms) systems identified as a research opportunity. For example, understanding the composition of soils and sediments, which include a mixture of mineral, plant, and animal components, could advance understanding of exposure pathways.
The discussions highlighted opportunities to explore and understand the potential redistribution and biotic exposures of PFAS from biosolid and wastewater treatment plant effluent land application practices, in addition to atmospheric releases and discharges from landfill and wastewater treatment plants. Participants identified research gaps surrounding how these sources may contribute to contamination and may affect surrounding ecosystems, including a better definition of anthropogenic background concentrations.
Moving forward, the collection of co-occurrence data was noted as a means to improve understanding of complex mixtures and to leverage companion modeling efforts focused on areas with high and low contamination levels to identify areas of concern and unaffected resources. Participants emphasized how centralized USGS databases and the establishment of sample-metadata archives can help to ensure that samples are preserved and accessible for future research.
In conclusion, the workshop participants identified opportunities to bridge data gaps and improve measurement techniques, modeling frameworks, databases, and communication, to enhance the understanding of PFAS and their effects on environmental and human health. Upon completion of the workshop, participants indicated an interest in developing strategic data collection, modeling, and analytical approaches to address these challenges.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251044","programNote":"Environmental Health Program","usgsCitation":"Iwanowicz, D.D., Beisner, K.R., Bradley, P.M., Bright, P.R., Brown, J.B., Churchill, C.J., Gordon, S.E., Karouna, N.K., Kolpin, D.W., Lambert, R.B., Pulster, E.L., Shively, R.S., Smalling, K., Steevens, J.A., and Tokranov, A.K., 2025, Insights and strategic opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop—Addendum I of Circular 1490: U.S. Geological Survey Open-File Report 2025–1044, 10 p., https://doi.org/10.3133/ofr20251044.","productDescription":"iii, 10 p.","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-177608","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":493438,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1044/coverthb.jpg"},{"id":493439,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1044/ofr20251044.pdf","text":"Report","size":"2.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1044 PDF"},{"id":493440,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251044/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1044 HTML"},{"id":493442,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1044/images/"},{"id":493441,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1044/ofr20251044.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1044 XML"}],"contact":"Director, Ecosystems Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, Virginia 20192
Diadromous fishes world-wide experienced precipitous declines during the 19th and 20th centuries due to a combination of overfishing, pollution, and freshwater habitat loss through construction of dams (Limburg & Waldman, 2009). Following wide-spread fishing closures and large-scale remediation of many historical pollution sources, dams in coastal rivers remain as the largest tractable impediment to population recovery for many of these species (Waldman & Quinn, 2022). In some cases, dams reduce access to as much as 95% of freshwater and rearing habitat (Hall et al., 2011). These effects are especially pronounced for species that rely on long-distance migrations to spawning and rearing habitat upstream of barriers such as various alosines (herrings; e.g., American shad Alosa sapidissima, alewife A. pseudoharengus, and blueback herring A. aestivalis (Noonan et al., 2012)) and salmonines (trout and salmon; e.g., Salmo spp. (Parrish et al., 1998) and Oncorhynchus spp. (Quiñones et al., 2015).
Traditional stock assessment tools such as per-recruit analyses often fail to capture management complexities related to diadromous life histories such as fish passage at dams, and integrated assessment models can be difficult to parameterize for data-poor species such as herrings (Atlantic States Marine Fisheries Commission, 2024). This has resulted in the development of species- and system-specific approaches to fisheries stock assessment and management strategy evaluation (Barber et al., 2018; Nieland et al., 2015; Roy et al., 2018; Stich et al., 2019). We created the anadrofish package (Stich, Hardesty, et al., 2025) for R (R Core Team, 2025) to provide a generalized approach that also allows broader application to novel species, systems,
and scenarios.
We present methods to reconstruct historical chlorophyll a and surface water temperatures from satellite-based remote sensing products for Blue Mesa Reservoir, Colorado, to support algal bloom monitoring. A machine learning model was trained to construct chlorophyll a concentrations from Sentinel-2 satellite imagery and in situ measurements of chlorophyll a concentrations (out of bag RMSE = 1.9 μg/L, R2 = 0.63) and reconstruct summertime chlorophyll a concentrations over the entire reservoir from 2016 through 2023. Concurrently, we developed an approach to retrieve remotely sensed water temperatures from the Landsat collection 2 provisional surface temperature product (MAE = 0.6°C) and reconstructed summertime surface water temperature records from 2000 through 2023. Finally, we demonstrate how the reconstructed chlorophyll a and temperature records can yield insight on reservoir dynamics. The chlorophyll a records indicate that algal blooms have a consistent spatial pattern across multiple years, initiating in the eastern end of the reservoir and spreading to the west over time. Water temperatures increased at a linearized rate of 0.3°C per decade from 2000 through 2023 and were inversely proportional to reservoir water surface elevation. Finally, mean summer remotely sensed chlorophyll a concentration had a moderately positive correlation with mean summer remotely sensed water temperature.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.70038","usgsCitation":"King, T.V., Bean, R., Walton-Day, K., Mast, M.A., Gohring, E.J., Gidley, R.G., Day, N.K., and Gibney, N., 2025, Remote sensing of chlorophyll a and temperature to support algal bloom monitoring in Blue Mesa Reservoir, Colorado: Journal of the American Water Resources Association, v. 61, no. 4, e70038, 19 p., https://doi.org/10.1111/1752-1688.70038.","productDescription":"e70038, 19 p.","ipdsId":"IP-157284","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":494445,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.70038","text":"Publisher Index Page"},{"id":494016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Gunnison County","otherGeospatial":"Blue Mesa Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.35295276247045,\n 38.535074315629544\n ],\n [\n -107.35295276247045,\n 38.430806876675575\n ],\n [\n -107.03469816287091,\n 38.430806876675575\n ],\n [\n -107.03469816287091,\n 38.535074315629544\n ],\n [\n -107.35295276247045,\n 38.535074315629544\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"61","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bean, Robert Allen 0000-0001-5940-9757","orcid":"https://orcid.org/0000-0001-5940-9757","contributorId":344328,"corporation":false,"usgs":true,"family":"Bean","given":"Robert Allen","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton-Day, Katherine 0000-0002-9146-6193","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":336569,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mast, M. Alisa 0000-0001-6253-8162","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":211054,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gohring, Evan J. 0000-0002-2229-9512","orcid":"https://orcid.org/0000-0002-2229-9512","contributorId":315496,"corporation":false,"usgs":true,"family":"Gohring","given":"Evan","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gidley, Rachel G. 0000-0002-9840-8252","orcid":"https://orcid.org/0000-0002-9840-8252","contributorId":259315,"corporation":false,"usgs":true,"family":"Gidley","given":"Rachel","email":"","middleInitial":"G.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945718,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Day, Natalie K. 0000-0002-8768-5705","orcid":"https://orcid.org/0000-0002-8768-5705","contributorId":207302,"corporation":false,"usgs":true,"family":"Day","given":"Natalie","middleInitial":"K.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945719,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gibney, Nicole D.","contributorId":352239,"corporation":false,"usgs":false,"family":"Gibney","given":"Nicole D.","affiliations":[{"id":84139,"text":"National Park Service, Regions 6, 7, and 8- Intermountain, Resource Stewardship and Science, One Denver Federal Center, Building 50, Denver, CO 80225","active":true,"usgs":false}],"preferred":false,"id":945720,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70270150,"text":"70270150 - 2025 - Overcoming challenges in mapping hydrography and heterogeneity in urban landscapes","interactions":[],"lastModifiedDate":"2025-08-12T14:48:36.323248","indexId":"70270150","displayToPublicDate":"2025-08-10T09:41:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Overcoming challenges in mapping hydrography and heterogeneity in urban landscapes","docAbstract":"Understanding how water moves through a watershed is one of the most fundamental yet often complicated aspects of hydrology, especially in urban areas. Urban infrastructure and water management alter natural hydrological pathways in developed watersheds, which can violate assumptions of a watershed approach to ecosystem science. We focus on two aspects of urban landscapes that often create challenges to model watershed processes within and among urban areas: (1) accurate delineation of urban flow paths and (2) consistent characterisation of the urban landscape within and among cities. Here, we describe these challenges and identify how certain components of these challenges can be addressed, highlighting examples and lessons learned in a project that is assessing scales and drivers of variability in dissolved organic carbon across five urban centres in the United States. Our goal is to facilitate a dialogue that will advance the applications of watershed approaches in urban ecosystem science by recognising and addressing these challenges. Our examples focus on the United States but could be applicable to similar urban challenges in other locations globally.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70221","usgsCitation":"Hopkins, K.G., Hale, R., Capps, K., Kominoski, J., Morse, J., Roy, A.H., Blinn, A., Chen, S., Ortiz Muñoz, L., Quick, A., and Rudolph, J., 2025, Overcoming challenges in mapping hydrography and heterogeneity in urban landscapes: Hydrological Processes, v. 39, no. 8, e70221, 12 p., https://doi.org/10.1002/hyp.70221.","productDescription":"e70221, 12 p.","ipdsId":"IP-177098","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":493953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Massachusetts, Utah","city":"Boston, Miami, Salt Lake City","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.71677123780677,\n 41.45968926767293\n ],\n [\n -112.71677123780677,\n 39.998393561572954\n ],\n [\n -110.4915729537172,\n 39.998393561572954\n ],\n [\n -110.4915729537172,\n 41.45968926767293\n ],\n [\n -112.71677123780677,\n 41.45968926767293\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.3191963471503,\n 42.53522516232974\n ],\n [\n -71.3191963471503,\n 42.1812758651655\n ],\n [\n -70.75311274839773,\n 42.1812758651655\n ],\n [\n -70.75311274839773,\n 42.53522516232974\n ],\n [\n -71.3191963471503,\n 42.53522516232974\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.49274936034146,\n 26.035749620583076\n ],\n [\n -80.49274936034146,\n 25.515225032958696\n ],\n [\n -80.10823864039897,\n 25.515225032958696\n ],\n [\n -80.10823864039897,\n 26.035749620583076\n ],\n [\n -80.49274936034146,\n 26.035749620583076\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"39","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hale, Rebecca L.","contributorId":359466,"corporation":false,"usgs":false,"family":"Hale","given":"Rebecca L.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":945552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Capps, Krista A.","contributorId":270490,"corporation":false,"usgs":false,"family":"Capps","given":"Krista A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":945553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kominoski, John S.","contributorId":359469,"corporation":false,"usgs":false,"family":"Kominoski","given":"John S.","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":945554,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morse, Jennifer L.","contributorId":359471,"corporation":false,"usgs":false,"family":"Morse","given":"Jennifer L.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":945555,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":945556,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blinn, Andrew","contributorId":343805,"corporation":false,"usgs":false,"family":"Blinn","given":"Andrew","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":945557,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chen, Shuo","contributorId":343806,"corporation":false,"usgs":false,"family":"Chen","given":"Shuo","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":945558,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ortiz Muñoz, Liz","contributorId":343807,"corporation":false,"usgs":false,"family":"Ortiz Muñoz","given":"Liz","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":945559,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Quick, Annika","contributorId":343809,"corporation":false,"usgs":false,"family":"Quick","given":"Annika","affiliations":[{"id":82199,"text":"Virginia Wesleyan University","active":true,"usgs":false}],"preferred":false,"id":945560,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rudolph, Jacob","contributorId":343811,"corporation":false,"usgs":false,"family":"Rudolph","given":"Jacob","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":945561,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70270295,"text":"70270295 - 2025 - Dynamic feedbacks between river meandering and landsliding in northwestern Washington glacial terraces","interactions":[],"lastModifiedDate":"2025-08-14T14:38:25.829251","indexId":"70270295","displayToPublicDate":"2025-08-09T09:32:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic feedbacks between river meandering and landsliding in northwestern Washington glacial terraces","docAbstract":"Landsliding in river valleys poses unique risks for cascading hazards and can damage infrastructure and cause fatalities. In postglacial valleys, many landslides are posited to occur in relation to lateral river erosion, but the dynamics of fluvial-hillslope interactions are not well understood. Here, we investigate a section of the Nooksack River in western Washington State where the channel is flanked by landslide-prone glacial terraces similar to those that failed in the 2014 State Route 530 “Oso” landslide. We map 216 landslides through time across 17 aerial imagery data sets (1933–2022) and analyze them in relation to river meandering and curvature. We observe dynamic feedbacks between lateral river meandering and valley-adjacent landsliding. Terrace lateral retreat rates of up to 25 m/year owing to combined fluvial erosion and slope failure occur on pinned, outer meander bends immediately downstream from peaks in river curvature (>0.0075 1/m); these locations are predisposed to both shallow and deep-seated landslides. Deep-seated landslides extending 17%–32% of the active valley width into the floodplain can displace the river away from the floodplain margin and change the channel planform. River-displacing landslides relocate meanders up- or downstream, thereby conditioning the location of subsequent landslides. This conceptual model of coupled landslide-driven meander displacement and valley-adjacent landsliding is exemplified across western Washington river systems. The distance between up- and downstream valley-adjacent landsliding scales with valley width, meander wavelength, and terrace height. Our results can advance our understanding of the river-hillslope interface in landscape evolution and can be used to inform hazard management in river corridors.
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The OpenET collaboration of six remotely sensed ET modeling teams has demonstrated that an ensemble approach to ET estimation generally provides improved accuracy relative to individual ensemble members. The performance of individual models has been shown to vary by land cover type and climate zone, but a thorough study of the variables that influence model performance differences has not yet been conducted. In this paper, we model the performance of OpenET models relative to flux tower data as a function of variables such as land cover type and precipitation. These performance models are used to map estimated OpenET model performance across the conterminous United States. We develop relative weights based on these modeled performance metrics and show that a performance-weighted ensemble improves accuracy relative to the current OpenET ensemble method to varying degrees. The monthly mean absolute error of the weighted ensemble is reduced relative to the current method by 8% in agricultural settings, by 23% in shrublands and mixed forests, and by 5% in grasslands and evergreen forests. We produce weight maps that can be used to generate performance-weighted ensemble values for OpenET data. The results can be used to inform model selection and provide insight about the controls on model performance that could lead to model refinement.
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M.","contributorId":269921,"corporation":false,"usgs":false,"family":"Volk","given":"J.","middleInitial":"M.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":945564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ott, T.","contributorId":359492,"corporation":false,"usgs":false,"family":"Ott","given":"T.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":945665,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, M.","contributorId":63141,"corporation":false,"usgs":true,"family":"Anderson","given":"M.","affiliations":[],"preferred":false,"id":945666,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":945565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Melton, F.","contributorId":34039,"corporation":false,"usgs":true,"family":"Melton","given":"F.","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":945667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kilic, A.","contributorId":192454,"corporation":false,"usgs":false,"family":"Kilic","given":"A.","email":"","affiliations":[],"preferred":false,"id":945668,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Allen, R.","contributorId":7990,"corporation":false,"usgs":true,"family":"Allen","given":"R.","affiliations":[],"preferred":false,"id":945669,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fisher, J. B.","contributorId":272085,"corporation":false,"usgs":false,"family":"Fisher","given":"J.","email":"","middleInitial":"B.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":945670,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ruhoff, Anderson","contributorId":269919,"corporation":false,"usgs":false,"family":"Ruhoff","given":"Anderson","email":"","affiliations":[{"id":56044,"text":"Universidade Federal do Rio Grande do Sul","active":true,"usgs":false}],"preferred":false,"id":945671,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Purdy, A.J.","contributorId":333376,"corporation":false,"usgs":false,"family":"Purdy","given":"A.J.","email":"","affiliations":[{"id":79854,"text":"NASA Ames Research Center Cooperative for Research in Earth Science and Technology, California State University Monterey Bay","active":true,"usgs":false}],"preferred":false,"id":945672,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Huntington, J.","contributorId":192453,"corporation":false,"usgs":false,"family":"Huntington","given":"J.","email":"","affiliations":[],"preferred":false,"id":945673,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70251199,"text":"70251199 - 2025 - Declining reservoir elevations following a two-decade drought increase water temperatures and non-native fish passage facilitating a downstream invasion","interactions":[],"lastModifiedDate":"2026-01-05T16:32:57.241776","indexId":"70251199","displayToPublicDate":"2025-08-08T10:32:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Declining reservoir elevations following a two-decade drought increase water temperatures and non-native fish passage facilitating a downstream invasion","docAbstract":"River ecosystems are threatened by interactions among river regulation, non-native species, and climate change. Water use has exceeded supply in USA’s Colorado River basin draining its two largest storage reservoirs (Lake Powell and Lake Mead). In 2022, Lake Powell began releasing water from its lower epilimnion into the Grand Canyon segment of the Colorado River, which (1) increased rates of fish passage from the reservoir through the dam and (2) created river temperatures suitable for establishment of non-native fishes. Subsequently, smallmouth bass (Micropterus dolomieu) reproduced there for the first time. To assist managers concerned about this invasion, we developed models that (1) predicted propagule pressure at different reservoir elevations and (2) linked reservoir storage/operations, water temperatures, and population dynamics to forecast smallmouth bass population growth potential. Maintaining Lake Powell elevations above 1094 m (3590 ft) would likely minimize propagule pressure from the reservoir and create downstream conditions that minimize smallmouth bass population growth. Dam and reservoir management will likely be less effective for managing smallmouth bass if smallmouth bass become abundant in far downstream reaches.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0187","usgsCitation":"Eppehimer, D.E., Yackulic, C.B., Bruckerhoff, L.A., Wang, J., Young, K.L., Bestgen, K.R., Mihalevich, B.A., and Schmidt, J.C., 2025, Declining reservoir elevations following a two-decade drought increase water temperatures and non-native fish passage facilitating a downstream invasion: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-19, https://doi.org/10.1139/cjfas-2024-0187.","productDescription":"19 p.","startPage":"1","endPage":"19","ipdsId":"IP-151886","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":493840,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","noUsgsAuthors":false,"publicationDate":"2025-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Eppehimer, Drew Elliot 0000-0003-0076-1494","orcid":"https://orcid.org/0000-0003-0076-1494","contributorId":333633,"corporation":false,"usgs":true,"family":"Eppehimer","given":"Drew","email":"","middleInitial":"Elliot","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bruckerhoff, Lindsey Ann 0000-0002-9523-4808","orcid":"https://orcid.org/0000-0002-9523-4808","contributorId":292594,"corporation":false,"usgs":true,"family":"Bruckerhoff","given":"Lindsey","email":"","middleInitial":"Ann","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":893443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Jianghao","contributorId":195004,"corporation":false,"usgs":false,"family":"Wang","given":"Jianghao","email":"","affiliations":[],"preferred":false,"id":893444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Kirk L.","contributorId":204247,"corporation":false,"usgs":false,"family":"Young","given":"Kirk","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":893445,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bestgen, Kevin R. 0000-0001-8691-2227","orcid":"https://orcid.org/0000-0001-8691-2227","contributorId":171573,"corporation":false,"usgs":false,"family":"Bestgen","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":893446,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mihalevich, Bryce Anthony 0000-0001-5492-221X","orcid":"https://orcid.org/0000-0001-5492-221X","contributorId":304586,"corporation":false,"usgs":true,"family":"Mihalevich","given":"Bryce","email":"","middleInitial":"Anthony","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893447,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schmidt, John C. 0000-0002-2988-3869 jcschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-2988-3869","contributorId":1983,"corporation":false,"usgs":true,"family":"Schmidt","given":"John","email":"jcschmidt@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893448,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70272679,"text":"70272679 - 2025 - Quantitative subsurface characterization illuminates the origin of the Quaternary Mississippi River Valley alluvial aquifer","interactions":[],"lastModifiedDate":"2025-12-04T15:56:36.025068","indexId":"70272679","displayToPublicDate":"2025-08-08T09:48:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17089,"text":"Communications Earth and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative subsurface characterization illuminates the origin of the Quaternary Mississippi River Valley alluvial aquifer","docAbstract":"The Mississippi River Valley alluvial aquifer (MRVA) is vital to U.S. food security and global agricultural supply. However, quantitative understanding of its Quaternary origin, architecture, and hydrologic function remains incomplete. Here we develop a three-dimensional hydrostratigraphic model to characterize the deposition of clay and silt, fine-medium sands, and graveliferous sands using lithologic data from 75,000 boreholes compiled across the Lower Mississippi Valley and a geostatistical method—interval kriging. We find that cyclic glacial entrenchments, evidenced by remnants of pre-Wisconsinan postglacial sediments, alongside geodynamic activities shaped the MRVA basal configuration. Stratal weakening from faulting and salt diapirism enhanced glacial incision and thereby produced abrupt aquifer thickening. We demarcate the top of graveliferous sands as the regional marker of the Pleistocene-Holocene transition. The MRVA hydrostratigraphy reveals hydrologic function and geologic controls on groundwater storage and quality, advancing the assessment of aquifer sustainability under a changing climate, with implications for alluvial aquifers globally.
","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02545-1","usgsCitation":"Song, Y., Tsai, F.T., Minsley, B.J., Wu, C., and Heggy, E., 2025, Quantitative subsurface characterization illuminates the origin of the Quaternary Mississippi River Valley alluvial aquifer: Communications Earth and Environment, v. 6, 646, 16 p., https://doi.org/10.1038/s43247-025-02545-1.","productDescription":"646, 16 p.","ipdsId":"IP-172339","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":497110,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02545-1","text":"Publisher Index Page"},{"id":497056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Illinois, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Mississippi River Valley alluvial aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94,\n 38\n ],\n [\n -94,\n 28.5\n ],\n [\n -88,\n 28.5\n ],\n [\n -88,\n 38\n ],\n [\n -94,\n 38\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2025-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Song, Yuqi","contributorId":363220,"corporation":false,"usgs":false,"family":"Song","given":"Yuqi","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":951315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tsai, Frank T.-C.","contributorId":305938,"corporation":false,"usgs":false,"family":"Tsai","given":"Frank","email":"","middleInitial":"T.-C.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":951316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minsley, Burke J. 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":248573,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":951317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Chenliang","contributorId":363221,"corporation":false,"usgs":false,"family":"Wu","given":"Chenliang","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":951318,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heggy, Essem","contributorId":363223,"corporation":false,"usgs":false,"family":"Heggy","given":"Essem","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":951319,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271392,"text":"70271392 - 2025 - Understanding economic and environmental tradeoffs of bottled water facilities using Structural Topic Modeling and Lexicon-based categorization of public news media","interactions":[],"lastModifiedDate":"2025-09-11T14:51:23.048816","indexId":"70271392","displayToPublicDate":"2025-08-08T09:47:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10763,"text":"Environmental Research Communications","active":true,"publicationSubtype":{"id":10}},"title":"Understanding economic and environmental tradeoffs of bottled water facilities using Structural Topic Modeling and Lexicon-based categorization of public news media","docAbstract":"Bottled water facilities exist across the United States (U.S.) in all 50 states and have the potential to affect localities in which they are located. This study aims to understand how water bottling facilities are portrayed in news media in the U.S., focusing on economic and environmental tradeoffs, by using Natural Language Processing techniques, specifically Structural Topic Modeling and Lexicon-based Categorization, across different U.S. states and time periods. Through our stratified analysis, we identified key environmental topics and natural resources, as well as companies attracting media attention in different regions and time periods. Results suggest that: (1) the increase in news media publications were correlated with current events such as drought or the start or change in operations of bottling facilities, and (2) these current events also influenced whether the coverage focused on economic topics or environmental concerns. The balance of water availability and economic development is a theme prevalent among the results of both forms of analysis. This study demonstrates the importance of understanding the unique values of a locality before making decisions that may affect residents.
","language":"English","publisher":"IOP Publishing","doi":"10.1088/2515-7620/adf1e1","usgsCitation":"Chan, A., and Christenson, C., 2025, Understanding economic and environmental tradeoffs of bottled water facilities using Structural Topic Modeling and Lexicon-based categorization of public news media: Environmental Research Communications, v. 7, no. 8, 085003, 14 p., https://doi.org/10.1088/2515-7620/adf1e1.","productDescription":"085003, 14 p.","ipdsId":"IP-176981","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":495366,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2515-7620/adf1e1","text":"Publisher Index Page"},{"id":495314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Chan, Alisha Yee 0000-0001-5652-8013","orcid":"https://orcid.org/0000-0001-5652-8013","contributorId":302874,"corporation":false,"usgs":true,"family":"Chan","given":"Alisha Yee","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christenson, Catherine 0000-0001-5944-2186 cchristenson@usgs.gov","orcid":"https://orcid.org/0000-0001-5944-2186","contributorId":200263,"corporation":false,"usgs":true,"family":"Christenson","given":"Catherine","email":"cchristenson@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948364,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70269892,"text":"sir20255066 - 2025 - Simulated hydrologic responses to proposed wastewater-returnflow scenarios in Falmouth, Massachusetts","interactions":[],"lastModifiedDate":"2026-04-01T14:28:13.392829","indexId":"sir20255066","displayToPublicDate":"2025-08-08T08:55:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5066","displayTitle":"Simulated Hydrologic Responses to Proposed Wastewater-Return-Flow Scenarios in Falmouth, Massachusetts","title":"Simulated hydrologic responses to proposed wastewater-returnflow scenarios in Falmouth, Massachusetts","docAbstract":"The Cape Cod aquifer is the sole source of drinking water for communities on Cape Cod, Massachusetts, including the Town of Falmouth, where the aquifer is currently threatened by contamination from septic-system-derived nitrogen. To address this problem, the Town is proposing to sewer areas of Falmouth, treat the wastewater at the Town’s Main Wastewater Treatment Facility (a nitrogen removing/tertiary treatment facility), and discharge the treated wastewater to an ocean outfall pipe in Nantucket Sound.
The U.S. Geological Survey, in cooperation with the Town of Falmouth, updated a three-dimensional steady-state groundwater flow model to represent current (defined as 2019–23) average hydrologic conditions and to simulate the long-term average freshwater hydrologic response to two wastewater-return-flow scenarios. Scenario 1 involves the sewering of all properties south of Route 28 in Falmouth, which approximates the Town’s possible sewer expansion over the next 20–30 years. Scenario 2 involves sewering of all properties in Falmouth to demonstrate the maximum potential effect of sewering on the aquifer.
Overall, the simulated hydrologic response of water-table altitudes and streamflow in both scenarios was relatively small compared to fluctuations from natural recharge. In scenario 1, the water-table altitude decreased by about 0.1 feet south of Route 28, where the conversion to municipal sewers removed wastewater-return flow from onsite septic systems. The water-table altitude decreased by about 0.1–0.2 feet over a larger area in Falmouth under town-wide sewering in scenario 2. The greatest decrease in water-table altitude in both scenarios occurred near the Main Wastewater Treatment Facility, with a decrease of about 1.1 feet in scenario 1 and about 1.3 feet in scenario 2.
Simulated decreases in streamflow also were estimated for six selected streams in Falmouth and Mashpee. In both scenarios, the largest simulated decreases in streamflow were at the Coonamessett River, which is the closest stream to the Main Wastewater Treatment Facility. In scenario 1, the average annual decrease in flow at the Coonamessett River was 0.1 cubic feet per second, a 1.1 percent decrease from current (2019–23) conditions. In scenario 2, streamflow at the Coonamessett River decreased by 0.6 cubic feet per second, a 5.4 percent decrease from current (2019–23) conditions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255066","collaboration":"Prepared in cooperation with the Town of Falmouth","usgsCitation":"Goldstein, K.M.F., and McCobb, T.D., 2025, Simulated hydrologic responses to proposed wastewater-returnflow scenarios in Falmouth, Massachusetts (ver. 1.1, 2026): U.S. Geological Survey Scientific Investigations Report 2025–5066, 19 p., https://doi.org/10.3133/sir20255066.","productDescription":"Report: vii, 19 p.; Data Release","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-172502","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":501695,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2025/5066/versionHist.txt","size":"694 B","linkFileType":{"id":2,"text":"txt"}},{"id":493661,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1O3SSE5","text":"USGS data release","linkHelpText":"MODFLOW-2005 groundwater flow model used to simulate wastewater-return-flow scenarios in Falmouth, Massachusetts"},{"id":493660,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5066/images/"},{"id":493659,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5066/sir20255066.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5066 XML"},{"id":493658,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255066/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5066 HTML"},{"id":493657,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5066/sir20255066.pdf","text":"Report","size":"4.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5066 PDF"},{"id":493656,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5066/coverthb2.jpg"}],"country":"United States","state":"Massachusetts","city":"Falmouth","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.69386874698256,\n 41.790542081897485\n ],\n [\n -70.69386874698256,\n 41.50620936893142\n ],\n [\n -70.2313991423423,\n 41.50620936893142\n ],\n [\n -70.2313991423423,\n 41.790542081897485\n ],\n [\n -70.69386874698256,\n 41.790542081897485\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: August 8, 2025; Version 1.1: April 1, 2026","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
Water level drawdowns are common in reservoirs and can affect dissolved oxygen (DO) dynamics via several pathways. In large storage reservoirs, inflow deltas are often important sites for sediment deposition, with some sediment laden rivers forming highly dynamic delta regions as they enter the reservoir. As water levels change, deposited sediment may be remobilized and affect pelagic DO dynamics. Here, we analyze a long-term set of DO profiles to ask how water levels have interacted with both reservoir age and spring inflow volumes to affect metalimnion low DO events in Lake Powell, desert Southwest, USA. The most supported model suggests that declining water levels interact with reservoir age, such that an older and lower elevation reservoir leads to more metalimnion DO consumption, with larger spring snowmelt inflows furthering DO declines. We also conducted incubations to understand how sediment source, monsoon inputs, and water temperature affect DO demand and nutrient cycling. Incubation oxygen demand varied significantly by sediment source, exhibiting modest temperature dependence at the nonmonsoonal sites. We observed the highest oxygen demand from monsoonal inputs and substantial phosphorus release from 2 of 3 sediment types. Our findings emphasize how reservoir aging and hydrological dynamics can combine to reduce DO availability.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/20442041.2025.2476309","usgsCitation":"Deemer, B., Andrews, C.M., Reibold, R.H., Mihalevich, B.A., Sabol, T.A., Drewel, J., and Yackulic, C., 2025, Low water levels interact with reservoir aging to increase the severity of summertime metalimnion dissolved oxygen minima in Lake Powell, desert Southwest, USA: Inland Waters, v. 15, no. 1, 2476309, 16 p., https://doi.org/10.1080/20442041.2025.2476309.","productDescription":"2476309, 16 p.","ipdsId":"IP-169658","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah","otherGeospatial":"Lake Powell","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.11073805318645,\n 37.26333469404298\n ],\n [\n -111.74162726575902,\n 36.997266633380335\n ],\n [\n -111.35931664510963,\n 36.87613235542568\n ],\n [\n -110.32254234263192,\n 37.24143878879368\n ],\n [\n -110.31017219601101,\n 37.95477774275503\n ],\n [\n -111.11073805318645,\n 37.26333469404298\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andrews, Caitlin M.","contributorId":361011,"corporation":false,"usgs":false,"family":"Andrews","given":"Caitlin","middleInitial":"M.","affiliations":[{"id":86147,"text":"National Park Service, Southern Florida and Caribbean Network, Flagstaff AZ","active":true,"usgs":false}],"preferred":false,"id":948108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reibold, Robin H. 0000-0002-3323-487X","orcid":"https://orcid.org/0000-0002-3323-487X","contributorId":207499,"corporation":false,"usgs":true,"family":"Reibold","given":"Robin","email":"","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mihalevich, Bryce A.","contributorId":361012,"corporation":false,"usgs":false,"family":"Mihalevich","given":"Bryce","middleInitial":"A.","affiliations":[{"id":86149,"text":"Bureau of Reclamation, Upper Colorado Basin, Salt Lake City UT","active":true,"usgs":false}],"preferred":false,"id":948110,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sabol, Thomas A. 0000-0002-4299-2285 tsabol@usgs.gov","orcid":"https://orcid.org/0000-0002-4299-2285","contributorId":3403,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas","email":"tsabol@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948111,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drewel, Jeremiah","contributorId":361013,"corporation":false,"usgs":false,"family":"Drewel","given":"Jeremiah","affiliations":[{"id":86150,"text":"Oregon Water Science Center, U.S. Geological Survey, Klamath Falls OR","active":true,"usgs":false}],"preferred":false,"id":948112,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948113,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70271124,"text":"70271124 - 2025 - Extracting data from maps: Lessons learned from the artificial intelligence for critical mineral assessment competition","interactions":[],"lastModifiedDate":"2026-03-27T17:34:41.462684","indexId":"70271124","displayToPublicDate":"2025-08-08T07:55:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14424,"text":"Applied Computing and Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Extracting data from maps: Lessons learned from the artificial intelligence for critical mineral assessment competition","docAbstract":"The U.S. Geological Survey (USGS), Defense Advanced Projects Research Agency (DARPA), NASA Jet Propulsion Laboratory (JPL), and MITRE ran a 12-week machine learning competition aimed at accelerating development of AI tools for critical mineral assessments. The Artificial Intelligence for Critical Mineral Assessment Competition solicited innovative solutions for two challenges: 1) automated georeferencing of historical maps, and 2) automated feature extraction from historical maps. Competitors used a new dataset of historical map images to train, validate, and evaluate their models. Automated georeferencing pipelines attained a median root-mean square error of 1.1 km. Prompt-based extraction (i.e., with user input) of polygons, polylines, and points from geologic maps yielded median F1-scores of 0.77, 0.56, 0.35, respectively. Geologic maps pose numerous challenges for AI workflows because they vary significantly. However, despite its short duration, the competition yielded promising results that have since spurred further innovation in this area and led to the development of new AI tools to semi-automate key, time-consuming parts of the assessment workflow.","language":"English","publisher":"Elsevier","doi":"10.1016/j.acags.2025.100274","usgsCitation":"Goldman, M.A., Lederer, G.W., Rosera, J.M., Graham, G.E., Mishra, A., and Yepremyan, A., 2025, Extracting data from maps: Lessons learned from the artificial intelligence for critical mineral assessment competition: Applied Computing and Geosciences, v. 27, 100274, 15 p., https://doi.org/10.1016/j.acags.2025.100274.","productDescription":"100274, 15 p.","ipdsId":"IP-164764","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":501736,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FXSPT1","text":"Data Release","linkFileType":{"id":5,"text":"html"},"linkHelpText":"Training and validation data from the AI for Critical Mineral Assessment Competition (ver. 2.0, July 2025)"},{"id":495004,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":495070,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.acags.2025.100274","text":"Publisher Index Page"}],"volume":"27","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Goldman, Margaret A. 0000-0003-2232-6362 mgoldman@usgs.gov","orcid":"https://orcid.org/0000-0003-2232-6362","contributorId":176468,"corporation":false,"usgs":true,"family":"Goldman","given":"Margaret","email":"mgoldman@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":947494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lederer, Graham W. 0000-0002-9505-9923","orcid":"https://orcid.org/0000-0002-9505-9923","contributorId":202407,"corporation":false,"usgs":true,"family":"Lederer","given":"Graham","email":"","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":947495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosera, Joshua Mark 0000-0003-3807-5000","orcid":"https://orcid.org/0000-0003-3807-5000","contributorId":270284,"corporation":false,"usgs":true,"family":"Rosera","given":"Joshua","email":"","middleInitial":"Mark","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":947496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":947497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mishra, Asitang","contributorId":301178,"corporation":false,"usgs":false,"family":"Mishra","given":"Asitang","email":"","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":947498,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yepremyan, Alice","contributorId":358951,"corporation":false,"usgs":false,"family":"Yepremyan","given":"Alice","affiliations":[{"id":85724,"text":"NASA - JPL","active":true,"usgs":false}],"preferred":false,"id":947499,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271344,"text":"70271344 - 2025 - Estimating drivers and identifying uncertainties in smallmouth bass population dynamics in an invaded river network","interactions":[],"lastModifiedDate":"2025-09-08T14:58:50.690039","indexId":"70271344","displayToPublicDate":"2025-08-08T07:48:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Estimating drivers and identifying uncertainties in smallmouth bass population dynamics in an invaded river network","docAbstract":"Smallmouth bass (Micropterus dolomieu) is an important recreational sportfish and destructive non-native species when introduced into freshwater habitats. There is therefore a need to understand the drivers of, and uncertainties in, smallmouth bass population dynamics for various management objectives. We combined long-term smallmouth bass catch-effort and early life history data from a non-native population in the Green River sub-basin of the upper Colorado River to develop a demographic model that links interannual variability in environmental conditions to recruitment in three river reaches. We used the model to quantify how hydrology, river temperature, and exploitation drive smallmouth bass population dynamics. Early life stages were influenced by timing of hatching and discharge. Dispersal of age-0 fish and density-dependent dynamics were identified as primary sources of uncertainty. Determining the true nature of density-dependent dynamics is important, as the impact of exploitation-based management actions is dependent on the strengths of any density-dependent feedbacks. Our model provides a framework to predict smallmouth bass population responses to future climate conditions, reservoir operations, and exploitation levels.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0183","usgsCitation":"Bruckerhoff, L.A., Yackulic, C., Eppehimer, D.E., Bestgen, K.R., Jones, M.T., and Michaud, C., 2025, Estimating drivers and identifying uncertainties in smallmouth bass population dynamics in an invaded river network: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-24, https://doi.org/10.1139/cjfas-2024-0183.","productDescription":"24 p.","startPage":"1","endPage":"24","ipdsId":"IP-166028","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Green River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.07791103370728,\n 38.47445328611764\n ],\n [\n -110.07791103370728,\n 38.06202716185106\n ],\n [\n -109.72266590720243,\n 38.06202716185106\n ],\n [\n -109.72266590720243,\n 38.47445328611764\n ],\n [\n -110.07791103370728,\n 38.47445328611764\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bruckerhoff, Lindsey A.","contributorId":361014,"corporation":false,"usgs":false,"family":"Bruckerhoff","given":"Lindsey","middleInitial":"A.","affiliations":[{"id":86151,"text":"Aquatic Ecology Laboratory, Department of Evolution, Ecology, and Organismal Biology, The Ohio State University, Columbus, Ohio","active":true,"usgs":false}],"preferred":false,"id":948117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eppehimer, Drew Elliot 0000-0003-0076-1494","orcid":"https://orcid.org/0000-0003-0076-1494","contributorId":333633,"corporation":false,"usgs":true,"family":"Eppehimer","given":"Drew","email":"","middleInitial":"Elliot","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bestgen, Kevin R.","contributorId":361015,"corporation":false,"usgs":false,"family":"Bestgen","given":"Kevin","middleInitial":"R.","affiliations":[{"id":86153,"text":"Larval Fish Laboratory, Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":948120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, M. Tildon","contributorId":361016,"corporation":false,"usgs":false,"family":"Jones","given":"M.","middleInitial":"Tildon","affiliations":[{"id":86154,"text":"U.S. Fish and Wildlife Service, Upper Colorado River Endangered Fish Recovery Program, Vernal","active":true,"usgs":false}],"preferred":false,"id":948121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Michaud, Chris","contributorId":361017,"corporation":false,"usgs":false,"family":"Michaud","given":"Chris","affiliations":[{"id":86156,"text":"U.S. Fish and Wildlife Service, Upper Colorado River Endangered Fish Recovery Program, Lakewood, Colorado","active":true,"usgs":false}],"preferred":false,"id":948122,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271324,"text":"70271324 - 2025 - Rupture continuity through intermittent pauses in Cascadia slow slip events","interactions":[],"lastModifiedDate":"2025-09-05T15:05:56.488062","indexId":"70271324","displayToPublicDate":"2025-08-07T08:00:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Rupture continuity through intermittent pauses in Cascadia slow slip events","docAbstract":"Cascadia slow slip events (SSEs) are often envisioned as smooth, continuous ruptures, progressively activating tremor asperities as they propagate. Macroscopically, geodetic inversions and spatiotemporal maps of tremor epicenters show steady, uniform migration. In detail tremor is more chaotic and discontinuous. Larger long-term SSEs observed in daily geodetic solutions are inferred to exhibit intermittent pauses that reflect temporary re-locking of the fault, but this temporal resolution limits tests for similar re-locking on shorter timescales. We use temporal measurements of the areal growth and radiated energy of tremor clusters to investigate SSE intermittence. We find that ruptures mirror tremor pauses. Areal growth rate, however, does not reset, and removing the pauses results in smoother and more similar growth measurements among all SSEs. The rupture similarity occurs regardless of size or location and hints at an underlying uniformity and lack of predeterminism in eventual SSE size. Epicentral uncertainty precludes quantifying early rupture stages, but for larger events areal growth follows a power-law and slows with increasing size. Temporal correlations in tremor energy with inferred SSE propagation velocities and tremor rates suggest its use as a proxy for slip velocity. We find that tremor energy is tidally modulated at daily and sub-daily frequencies, and this modulation is continuous through pauses, suggesting a memory of slip state is sustained through them. We argue these pauses reflect unsteady propagation of the slip front, marked by rapid re- and un-locking, and excluding them removes rupture complexity to reveal a diffusive-like slip process and underlying universality in growth.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JB031501","usgsCitation":"Wech, A., and Gomberg, J.S., 2025, Rupture continuity through intermittent pauses in Cascadia slow slip events: Journal of Geophysical Research: Solid Earth, v. 130, no. 8, e2025JB031501, 18 p., https://doi.org/10.1029/2025JB031501.","productDescription":"e2025JB031501, 18 p.","ipdsId":"IP-173639","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":495198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -128.395483482341,\n 50.865572536238915\n ],\n [\n -125.60869035746057,\n 46.041667735587566\n ],\n [\n -124.98377466492585,\n 38.57668752987752\n ],\n [\n -120.96754220889056,\n 38.41486403323435\n ],\n [\n -121.34435422163615,\n 48.16096017318148\n ],\n [\n -123.77679244748882,\n 51.47194946290554\n ],\n [\n -128.395483482341,\n 50.865572536238915\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"130","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Wech, Aaron 0000-0003-4983-1991","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":202561,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":948053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":948054,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70270897,"text":"70270897 - 2025 - Mapping ecological states in the upper Colorado River basin: Implications for fire management","interactions":[],"lastModifiedDate":"2025-08-26T14:55:55.492663","indexId":"70270897","displayToPublicDate":"2025-08-07T07:47:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22185,"text":"Environmental Research: Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Mapping ecological states in the upper Colorado River basin: Implications for fire management","docAbstract":"Spatially explicit information on ecosystem dynamics that offers a mechanistic understanding of ecological processes can benefit environmental management. Broad-scale maps based on state-and-transition models provide valuable insight into transitions among ecological states resulting from specific drivers within areas sharing similar climatic and edaphic characteristics ecological sites (ES). We aimed to quantify ecological dynamics of two ES groups in the Upper Colorado River Basin from 1986 to 2022 through annual maps of ecological states and assess potential drivers of observed state change. This region comprises important sagebrush shrublands and pinyon-juniper woodlands affected by non-native annual grass invasion, wildfires, and drought-induced tree mortality. Using field-based and remote sensing data, we modeled vegetation states using random forest models and mapped the states annually from 1986 to 2022. To demonstrate the utility of the state maps for monitoring and management, we used this time series of maps to investigate the influences of fire and drought on state occurrence. Our findings revealed a statistically significant increase in states invaded by non-native annual species (Invaded state), which replaced Grassland and Shrubland states, while Shrubland states decreased significantly, transitioning to invaded and Woodland states. Invaded states had the highest likelihood of burning, followed by Woodlands. Drought was associated with increased area of Grassland and Bare states, but with decreased area of invaded and Shrubland states. These results indicate an accelerating fire cycle is potentially leading to ongoing regional environmental degradation. Despite increasing drought conditions during the study period, the invaded states continued to increase in area, indicating additional underlying mechanisms. Our reproducible, broad-scale, ecologically-driven state mapping process enhances understanding of how drought, fire, and invasion by non-native plants can transform semiarid landscapes of the western USA.
","language":"English","publisher":"IOPscience","doi":"10.1088/2752-664X/adf55f","usgsCitation":"Severson, J.P., Bishop, T.B., Knight, A.C., Nauman, T.W., McNellis, B.E., Villarreal, M.L., Reed, S.C., Young, K.E., Brunson, M., and Duniway, M.C., 2025, Mapping ecological states in the upper Colorado River basin: Implications for fire management: Environmental Research: Ecology, v. 4, no. 3, 035004, 21 p., https://doi.org/10.1088/2752-664X/adf55f.","productDescription":"035004, 21 p.","ipdsId":"IP-177340","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495059,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2752-664x/adf55f","text":"Publisher Index Page"},{"id":494895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","geographicExtents":"{\n 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migration","interactions":[],"lastModifiedDate":"2025-08-22T15:44:31.027186","indexId":"70270683","displayToPublicDate":"2025-08-06T10:42:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5641,"text":"Avian Research","active":true,"publicationSubtype":{"id":10}},"title":"Density dependence and weather drive dabbling duck spatiotemporal distributions and intercontinental migration","docAbstract":"The influence of streamflow can be highly heterogeneous around lake edges, making it challenging to predict how benthic productivity in the littoral zone responds to hydroclimatic change. The degree to which streamflow affects nearshore productivity varies as a function of catchment characteristics, internal lake morphometry, and processes. This study investigates the relative influence of streamflow on nearshore metabolism (e.g., gross primary productivity [GPP], ecosystem respiration [ER], and net ecosystem productivity [NEP]) for shores with large, small, or no stream inflows (four locations across two shores) during two contrasting water years (one drought and one wet) in Lake Tahoe (Nevada/California, USA). Using Bayesian structural equation modeling, we found streamflow decreased water temperature, benthic light, and GPP across both years. Compared to the drought year, the subsequent wet year had 54% higher annual streamflow, 37% less light, and lower NEP at locations with large or small inflows (39% Δ −0.32 mmol O₂ m−3 d−1% and 49% Δ −1.19 mmol O₂ m−3 d−1, respectively). During the wet year, we observed a 68% increase in the negative association between streamflow and nearshore GPP at the large inflow and a 62% decrease in the positive association between streamflow and GPP at the small inflow. This work demonstrates how oligotrophic littoral productivity varies across shorelines and in response to hydrological conditions, with streamflow and precipitation exerting contrasting effects depending on the proximity to inflowing streams. Our results suggest future lake responses to climate volatility depend on spatial and temporal hydrologic connectivity to catchments and upland processes.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.70157","usgsCitation":"Loria, K., Lowman, H., Krause, J., Katona, L.R., Naranjo, R.C., Scordo, F., Harpold, A., Chandra, S., and Blaszczak, J., 2025, The influence of mountain streamflow on nearshore ecosystem metabolism in a large, oligotrophic lake across a drought and a wet year: Limnology and Oceanography, v. 70, no. 9, p. 2645-2659, https://doi.org/10.1002/lno.70157.","productDescription":"15 p.","startPage":"2645","endPage":"2659","ipdsId":"IP-171346","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":493851,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Lake Tahoe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.22907288918867,\n 39.27733095987708\n ],\n [\n -120.22907288918867,\n 38.90788242474909\n ],\n [\n -119.85664507888565,\n 38.90788242474909\n ],\n [\n -119.85664507888565,\n 39.27733095987708\n ],\n [\n -120.22907288918867,\n 39.27733095987708\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"70","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Loria, Kelly 0000-0002-0067-0413","orcid":"https://orcid.org/0000-0002-0067-0413","contributorId":359371,"corporation":false,"usgs":false,"family":"Loria","given":"Kelly","affiliations":[{"id":38163,"text":"UNR","active":true,"usgs":false}],"preferred":false,"id":945205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowman, Heili 0000-0002-2939-9225","orcid":"https://orcid.org/0000-0002-2939-9225","contributorId":359373,"corporation":false,"usgs":false,"family":"Lowman","given":"Heili","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":945206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krause, Jasimine 0009-0002-2017-0229","orcid":"https://orcid.org/0009-0002-2017-0229","contributorId":359376,"corporation":false,"usgs":false,"family":"Krause","given":"Jasimine","affiliations":[{"id":38163,"text":"UNR","active":true,"usgs":false}],"preferred":false,"id":945207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Katona, Leon R. 0000-0001-5323-1871","orcid":"https://orcid.org/0000-0001-5323-1871","contributorId":331458,"corporation":false,"usgs":true,"family":"Katona","given":"Leon","email":"","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945208,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945209,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scordo, Facundo 0000-0001-6182-7368","orcid":"https://orcid.org/0000-0001-6182-7368","contributorId":359380,"corporation":false,"usgs":false,"family":"Scordo","given":"Facundo","affiliations":[{"id":85780,"text":"Universidad Nacional del Sur, Argentina","active":true,"usgs":false}],"preferred":false,"id":945210,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harpold, Adrian A. 0000-0002-2566-9574","orcid":"https://orcid.org/0000-0002-2566-9574","contributorId":353577,"corporation":false,"usgs":false,"family":"Harpold","given":"Adrian A.","affiliations":[{"id":84439,"text":"Dept. of Natural Resources and Environmental Science, Univ. of Nevada, Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":945211,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chandra, Sudeep 0000-0003-1724-5154","orcid":"https://orcid.org/0000-0003-1724-5154","contributorId":359381,"corporation":false,"usgs":false,"family":"Chandra","given":"Sudeep","affiliations":[{"id":38163,"text":"UNR","active":true,"usgs":false}],"preferred":false,"id":945212,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Blaszczak, Joanna 0000-0001-5122-0829","orcid":"https://orcid.org/0000-0001-5122-0829","contributorId":225159,"corporation":false,"usgs":false,"family":"Blaszczak","given":"Joanna","email":"","affiliations":[{"id":41055,"text":"Natural Resources and Environmental Science, University of Nevada, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":false,"id":945213,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70269997,"text":"70269997 - 2025 - Wetlands, groundwater and seasonality influence the spatial distribution of stream chemistry in a low-relief catchment","interactions":[],"lastModifiedDate":"2025-08-07T14:21:54.933339","indexId":"70269997","displayToPublicDate":"2025-08-06T09:20:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Wetlands, groundwater and seasonality influence the spatial distribution of stream chemistry in a low-relief catchment","docAbstract":"Evaluating stream water chemistry patterns provides insight into catchment ecosystem and hydrologic processes. Spatially distributed patterns and controls of stream solutes are well-established for high-relief catchments where solute flow paths align with surface topography. However, the controls on solute patterns are poorly constrained for low-relief catchments where hydrogeologic heterogeneities and river corridor features, like wetlands, may influence water and solute transport. Here, we provide a data set of solute patterns from 58 synoptic surveys across 28 sites and over 32 months in a low-relief wetland-rich catchment to determine the major surface and subsurface controls along with wetland influence across the catchment. In this low-relief catchment, the expected wetland storage, processing, and transport of solutes is only apparent in solute patterns of the smallest subcatchments. Meanwhile, downstream seasonal and wetland influence on observed chemistry can be masked by large groundwater contributions to the main stream channel. These findings highlight the importance of incorporating variable groundwater contributions into catchment-scale studies for low-relief catchments, and that understanding the overall influence of wetlands on stream chemistry requires sampling across various spatial and temporal scales. Therefore, in low-relief wetland-rich catchments, given the mosaic of above and below ground controls on stream solutes, modeling efforts may need to include both surface and subsurface hydrological data and processes.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JG008989","usgsCitation":"Weidner, C., Zarnestke, J., Kendall, A., Martin, S., Nesheim, S., and Shogren, A., 2025, Wetlands, groundwater and seasonality influence the spatial distribution of stream chemistry in a low-relief catchment: JGR Biogeosciences, v. 130, no. 8, e2025JG008989, 19 p., https://doi.org/10.1029/2025JG008989.","productDescription":"e2025JG008989, 19 p.","ipdsId":"IP-179047","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":494438,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jg008989","text":"Publisher Index Page"},{"id":493705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Sates","state":"Michigan","otherGeospatial":"Augusta Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.37501891108799,\n 42.37891153154604\n ],\n [\n -85.37501891108799,\n 42.32980992829573\n ],\n [\n -85.34485255012329,\n 42.32980992829573\n ],\n [\n -85.34485255012329,\n 42.37891153154604\n ],\n [\n -85.37501891108799,\n 42.37891153154604\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"130","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Weidner, Caroline R. 0009-0008-6994-0021","orcid":"https://orcid.org/0009-0008-6994-0021","contributorId":359353,"corporation":false,"usgs":false,"family":"Weidner","given":"Caroline R.","affiliations":[{"id":85775,"text":"Michigan State University Department of Earth and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":945168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zarnestke, Jay P. 0000-0001-7194-5245","orcid":"https://orcid.org/0000-0001-7194-5245","contributorId":359354,"corporation":false,"usgs":false,"family":"Zarnestke","given":"Jay P.","affiliations":[{"id":85775,"text":"Michigan State University Department of Earth and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":945169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, Anthony D.","contributorId":357745,"corporation":false,"usgs":false,"family":"Kendall","given":"Anthony D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":945170,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Sherry Lynn 0000-0001-7471-0476","orcid":"https://orcid.org/0000-0001-7471-0476","contributorId":343444,"corporation":false,"usgs":true,"family":"Martin","given":"Sherry Lynn","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":945171,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nesheim, Samuel","contributorId":359355,"corporation":false,"usgs":false,"family":"Nesheim","given":"Samuel","affiliations":[{"id":85775,"text":"Michigan State University Department of Earth and Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":945172,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shogren, Arial J.","contributorId":359356,"corporation":false,"usgs":false,"family":"Shogren","given":"Arial J.","affiliations":[{"id":85776,"text":"The University of Alabama Biological Sciences Department","active":true,"usgs":false}],"preferred":false,"id":945173,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}