Some of the most biologically diverse coastal wetlands and estuaries are found along the Great Lakes, but the spatial extent and timing of river-related inundation and sedimentation vary greatly among natural and altered systems. We used hydrologic data, geomorphic change detection, and satellite imagery to study inundation and sedimentation patterns in the naturally dynamic estuary of the Bad River (Mashkiiziibii) that flows into Lake Superior (Anishinaabeg-gichigami), and the Kakagon River (Ogaakaagaang-ziibii) that flows into a sheltered bay (Chi-Kaamigong). In 2016, an extreme summer flood (annual exceedance probability < 0.2 %) caused total inundation of the 46-km2 estuary. Floods from the sediment-rich Bad River, with an annual exceedance probability of ≤ 50 %, have overflowed into the upper wetlands and channels of the Kakagon River about 60 times over the last 75 years, including 20 floods during the most recent 10-year wet period. Sedimentation patterns were associated with proximity to river channels, shoreline erosion, and wind action. Early winter ice-up coupled with a storm surge and an early spring snowmelt into the iced-over bay changed inundation duration and sedimentation patterns. Climate-change projections for more intense rainfall and warmer temperatures will likely cause more frequent flooding and sedimentation; however, patterns may differ depending on the timing of the floods relative to storm surges and ice formation, or other factors. The approach of integrating readily available data helped give a broader temporal and spatial context to the possible causes for inundation and sedimentation, some expected and others not, in natural and restored estuaries of the Great Lakes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102458","usgsCitation":"Fitzpatrick, F., Vaughan, A., Dantoin, E.D., Sterner, S.P., Reneau, P., and Roland, C., 2025, Effects of river floods and sedimentation on a naturally dynamic Great Lakes estuary: Journal of Great Lakes Research, v. 51, no. 1, 102458, 19 p., https://doi.org/10.1016/j.jglr.2024.102458.","productDescription":"102458, 19 p.","ipdsId":"IP-163441","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":488275,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102458","text":"Publisher Index Page"},{"id":483809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Bad River, Chequamegon Bay, Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.86741881591443,\n 46.74517791310441\n ],\n [\n -90.86741881591443,\n 46.59429411429369\n ],\n [\n -90.55858891028036,\n 46.59429411429369\n ],\n [\n -90.55858891028036,\n 46.74517791310441\n ],\n [\n -90.86741881591443,\n 46.74517791310441\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fitzpatrick, Faith 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209191,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaughan, Angus 0000-0001-9900-4658","orcid":"https://orcid.org/0000-0001-9900-4658","contributorId":302333,"corporation":false,"usgs":true,"family":"Vaughan","given":"Angus","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":931770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dantoin, Eric D. 0000-0002-8561-2924 edantoin@usgs.gov","orcid":"https://orcid.org/0000-0002-8561-2924","contributorId":2278,"corporation":false,"usgs":true,"family":"Dantoin","given":"Eric","email":"edantoin@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sterner, Shelby P. 0000-0002-3103-7960","orcid":"https://orcid.org/0000-0002-3103-7960","contributorId":292246,"corporation":false,"usgs":true,"family":"Sterner","given":"Shelby","email":"","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reneau, Paul 0000-0002-1335-7573","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":217293,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931773,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roland, Collin 0000-0003-1004-0746","orcid":"https://orcid.org/0000-0003-1004-0746","contributorId":343660,"corporation":false,"usgs":true,"family":"Roland","given":"Collin","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931774,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70266326,"text":"70266326 - 2025 - Dominant Dolichospermum and microcystin production in Detroit Lake (Oregon, USA)","interactions":[],"lastModifiedDate":"2025-05-02T15:01:52.854811","indexId":"70266326","displayToPublicDate":"2025-01-22T09:56:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dominant Dolichospermum and microcystin production in Detroit Lake (Oregon, USA)","title":"Dominant Dolichospermum and microcystin production in Detroit Lake (Oregon, USA)","docAbstract":"The excessive growth of harmful cyanobacteria, including Dolichospermum (formerly known as Anabaena), in freshwater bodies has become a pressing global concern. However, detailed information about the role of Dolichospermum in shaping bloom dynamics and producing cyanotoxins is limited. In this study, a bloom event dominated by Dolichospermum spp. at Detroit Lake (Oregon, USA) was examined from 2019 to 2021. In 2019, early summer cyanobacterial community succession reached up to 8.7 % of total phytoplankton abundance. Dolichospermum was the major microcystin (MC)-producing genus, with peak MC levels of 7.34 μg L−1. The presence of MCs was strongly correlated with the abundance of Dolichospermum (r = 0.84, p < 0.05) and MC synthetase gene, mcyE-Ana (r = 0.63, p < 0.05). Metabolic analyses further showed that the presence of nif/pst genes linked to nitrogen and phosphorus metabolism was dominated by Dolichospermum from the bloom onset until September. In addition, the abundance of Dolichospermum was significantly correlated with the abundance of nitrogen-fixing nif-Ana gene (r = 0.62, p < 0.05). As the lake experienced a longer N and P scarcity period (May to September), the N2-fixing Dolichospermum was able to dominate over other non-fixing cyanobacteria present, including Microcystis and Planktothrix. Overall, our results facilitate a better understanding of the organism and will help working toward managing/predicting future blooms.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2025.102802","usgsCitation":"Jeon, Y., Ian Struewing, Kale Clausen, Nathan Reetz, Ned Fairchild, Lacey Goeres-Priest, Theo Dreher, Rochelle Labiosa, Carpenter, K.D., Barry Rosen, Eric Villegas, and Jingrang Lu, 2025, Dominant Dolichospermum and microcystin production in Detroit Lake (Oregon, USA): Harmful Algae, v. 142, 102802, 10 p., https://doi.org/10.1016/j.hal.2025.102802.","productDescription":"102802, 10 p.","ipdsId":"IP-166680","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":499603,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11864590/","text":"External Repository"},{"id":485327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Detroit Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.11158768390071,\n 44.7533324620162\n ],\n [\n -122.27304079384393,\n 44.7533324620162\n ],\n [\n -122.27304079384393,\n 44.66885073197324\n ],\n [\n -122.11158768390071,\n 44.66885073197324\n ],\n [\n -122.11158768390071,\n 44.7533324620162\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"142","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Jeon, Youchul","contributorId":354420,"corporation":false,"usgs":false,"family":"Jeon","given":"Youchul","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":935616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ian Struewing","contributorId":354421,"corporation":false,"usgs":false,"family":"Ian Struewing","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":935617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kale Clausen","contributorId":354422,"corporation":false,"usgs":false,"family":"Kale Clausen","affiliations":[{"id":84630,"text":"Oregon DEQ","active":true,"usgs":false}],"preferred":false,"id":935618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nathan Reetz","contributorId":354423,"corporation":false,"usgs":false,"family":"Nathan Reetz","affiliations":[{"id":84630,"text":"Oregon DEQ","active":true,"usgs":false}],"preferred":false,"id":935619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ned Fairchild","contributorId":354424,"corporation":false,"usgs":false,"family":"Ned Fairchild","affiliations":[{"id":84630,"text":"Oregon DEQ","active":true,"usgs":false}],"preferred":false,"id":935620,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lacey Goeres-Priest","contributorId":354425,"corporation":false,"usgs":false,"family":"Lacey Goeres-Priest","affiliations":[{"id":84631,"text":"City of Salem","active":true,"usgs":false}],"preferred":false,"id":935621,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Theo Dreher","contributorId":354426,"corporation":false,"usgs":false,"family":"Theo Dreher","affiliations":[{"id":84632,"text":"OSU (retired)","active":true,"usgs":false}],"preferred":false,"id":935622,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rochelle Labiosa","contributorId":354427,"corporation":false,"usgs":false,"family":"Rochelle Labiosa","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":935623,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carpenter, Kurt D. 0000-0002-6231-8335 kdcar@usgs.gov","orcid":"https://orcid.org/0000-0002-6231-8335","contributorId":127442,"corporation":false,"usgs":true,"family":"Carpenter","given":"Kurt","email":"kdcar@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":935624,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Barry Rosen","contributorId":354428,"corporation":false,"usgs":false,"family":"Barry Rosen","affiliations":[{"id":84633,"text":"FGCU","active":true,"usgs":false}],"preferred":false,"id":935625,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Eric Villegas","contributorId":354429,"corporation":false,"usgs":false,"family":"Eric Villegas","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":935626,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jingrang Lu","contributorId":354430,"corporation":false,"usgs":false,"family":"Jingrang Lu","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":935627,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70262786,"text":"70262786 - 2025 - Neonicotinoid exposure causes behavioral impairment and delayed mortality of the federally threatened American burying beetle, Nicrophorus americanus","interactions":[],"lastModifiedDate":"2025-01-22T16:05:15.870106","indexId":"70262786","displayToPublicDate":"2025-01-21T09:44:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Neonicotinoid exposure causes behavioral impairment and delayed mortality of the federally threatened American burying beetle, Nicrophorus americanus","title":"Neonicotinoid exposure causes behavioral impairment and delayed mortality of the federally threatened American burying beetle, Nicrophorus americanus","docAbstract":"Among the most immediate drivers of American burying beetle (Nicrophorus americanus Olivier) declines, nontarget toxicity to pesticides is poorly understood. Acute, episodic exposure to neonicotinoid insecticides at environmentally relevant concentrations is linked to negative impacts on beneficial terrestrial insect taxa. Beyond mortality, behavioral indicators of toxicity are often better suited to assess sublethal effects of residual concentrations in the environment. First, Nicrophorus spp. congeners were used to generate and identify a low-dose exposure rate (lethal dose 10%; LD10) from an acute, 24-hour exposure and the concentration-series was confirmed by LC–MS/MS. Next, we evaluated the effects of single and repeated low-dose (LD10 = 58.9 ng/beetle) imidacloprid exposure on N. americanus behavior (10 minutes post-dose) and mortality (10 days post-dose). Behavior parameters were analyzed using EthoVision-XT. Control N. americanus were significantly less mobile, demonstrating death-feigning, an anti-predator behavior. Single LD10 dosed N. americanus were hyperactive, traveling over 4 times farther (total distance; p = 0.03) and faster (mean velocity; p = 0.02) than controls. Single and repeated LD10 dosed N. americanus extended their wings without taking flight and flipped on their backs. All control N. americanus survived 10 days post-dose; single LD10 and repeated LD10 exhibited 30% and 50% mortality, respectively. A single LD10 exposure event was sufficient to significantly elicit greater movement and high predation risk behaviors, whereas repeated LD10 exposure did not worsen behavioral impairment but increased mortality over time. Collectively, generalized linear mixed effects models indicated that distance traveled, velocity, and extended wings were significant predictors of mortality. Recently reclassified, the federally threatened N. americanus may be at greater risk to insecticide exposure than previously thought and vulnerable to episodic, low-dose neonicotinoid exposure.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0314243","usgsCitation":"Cavallaro, M.C., Hladik, M.L., McMurry, R., Hittson, S., Boyles, L., and Hoback, W.W., 2025, Neonicotinoid exposure causes behavioral impairment and delayed mortality of the federally threatened American burying beetle, Nicrophorus americanus: PLoS ONE, v. 20, no. 1, e0314243, 17 p., https://doi.org/10.1371/journal.pone.0314243.","productDescription":"e0314243, 17 p.","ipdsId":"IP-164105","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":481024,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0314243","text":"Publisher Index Page"},{"id":480926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska, Oklahoma","city":"Braggs, O'Neill","otherGeospatial":"Camp Gruber","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.2405548140701,\n 35.78970128938211\n ],\n [\n -95.2405548140701,\n 35.59051434169811\n ],\n [\n -95.07378568415066,\n 35.59051434169811\n ],\n [\n -95.07378568415066,\n 35.78970128938211\n ],\n [\n -95.2405548140701,\n 35.78970128938211\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -98.78178747951743,\n 42.58220278755195\n ],\n [\n -98.78178747951743,\n 42.323737068269025\n ],\n [\n -98.47428478756088,\n 42.323737068269025\n ],\n [\n -98.47428478756088,\n 42.58220278755195\n ],\n [\n -98.78178747951743,\n 42.58220278755195\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Cavallaro, Michael C.","contributorId":296789,"corporation":false,"usgs":false,"family":"Cavallaro","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":64177,"text":"Bullhead City Pest Abatement District","active":true,"usgs":false}],"preferred":false,"id":924757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221087,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McMurry, R. Shane","contributorId":349777,"corporation":false,"usgs":false,"family":"McMurry","given":"R. Shane","affiliations":[],"preferred":false,"id":924759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hittson, Samantha","contributorId":305839,"corporation":false,"usgs":false,"family":"Hittson","given":"Samantha","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":924760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyles, Leon K.","contributorId":349770,"corporation":false,"usgs":false,"family":"Boyles","given":"Leon K.","affiliations":[{"id":33776,"text":"University of Nevada, Las Vegas","active":true,"usgs":false}],"preferred":false,"id":924761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoback, W. Wyatt","contributorId":305841,"corporation":false,"usgs":false,"family":"Hoback","given":"W.","email":"","middleInitial":"Wyatt","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":924762,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262890,"text":"70262890 - 2025 - Hysteretic response of suspended-sediment in wildfire affected watersheds of the Pacific Northwest and Southern Rocky Mountains","interactions":[],"lastModifiedDate":"2025-01-28T15:22:32.381063","indexId":"70262890","displayToPublicDate":"2025-01-21T08:16:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Hysteretic response of suspended-sediment in wildfire affected watersheds of the Pacific Northwest and Southern Rocky Mountains","docAbstract":"Wildfires can have a profound impact on hydrosedimentary interactions, or the relationship between sediment and runoff, in forested headwater streams. Quantification of sediment-runoff dynamics at the event scale is integral for understanding source areas and transport of suspended-sediment through a watershed following wildfire. Here we used high-frequency turbidity and stream discharge data, coupled with discrete suspended-sediment measurements, in burned and unburned watersheds in the Southern Rocky Mountains and the western Cascades Range to evaluate the response of fine-grained (clay- and silt-sized particles) suspended-sediment. Hysteresis analysis was conducted on estimated suspended-sediment concentrations (using turbidity as a proxy) and streamflow through measurement of the difference in sediment concentration on the rising and falling limbs of the event hydrograph. All burned watersheds exhibited elevated fine suspended-sediment concentrations relative to concentrations found in pre-fire conditions. Changes to hysteretic response vary and may depend on a watershed's sediment connectivity limitations. Results suggest a watershed's inherent hillslope-to-channel (or lateral) connectivity is the primary factor controlling the relative magnitude of event-driven fine sediment fluxes in watersheds affected by wildfire. While wildfire did promote lateral connectivity through activation of hillslope sources, snowmelt, precipitation characteristics and antecedent conditions were more important drivers of hysteretic response than wildfire. For watersheds influenced by annual snowpack, we identified a predominantly clockwise hysteretic response during snowmelt and counterclockwise events during the late spring and summer months. There were also proportionally more counterclockwise events after wildfire in watersheds with high sediment connectivity. Results suggest contrasting wildfire-related sediment risk potential. Rivers in burned watersheds with high sediment connectivity may pose a higher risk to receiving waterbodies, such as larger tributaries or reservoirs, while rivers with low sediment connectivity may experience long-term sediment-related risk within the watershed above the outlet.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.6067","usgsCitation":"Clark, G.D., Murphy, S.F., Skalak, K., Clow, D.W., Akie, G.A., Carpenter, K.D., Payne, S.E., and Ebel, B., 2025, Hysteretic response of suspended-sediment in wildfire affected watersheds of the Pacific Northwest and Southern Rocky Mountains: Earth Surface Processes and Landforms, v. 50, no. 1, e6067, 18 p., https://doi.org/10.1002/esp.6067.","productDescription":"e6067, 18 p.","ipdsId":"IP-166700","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":489896,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.6067","text":"Publisher Index Page"},{"id":481412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Southern Rocky Mountains, Western Cascades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.62089822899537,\n 45.59935484641264\n ],\n [\n -122.62089822899537,\n 45.09878637622529\n ],\n [\n -121.28296466253681,\n 45.09878637622529\n ],\n [\n -121.28296466253681,\n 45.59935484641264\n ],\n [\n -122.62089822899537,\n 45.59935484641264\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Gregory D. 0000-0003-0066-8193 gmclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0066-8193","contributorId":224364,"corporation":false,"usgs":true,"family":"Clark","given":"Gregory","email":"gmclark@usgs.gov","middleInitial":"D.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":925211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skalak, Katherine 0000-0003-4122-1240 kskalak@usgs.gov","orcid":"https://orcid.org/0000-0003-4122-1240","contributorId":3990,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"kskalak@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":925212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925213,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Akie, Garrett Alexander 0000-0002-6356-7106","orcid":"https://orcid.org/0000-0002-6356-7106","contributorId":290236,"corporation":false,"usgs":true,"family":"Akie","given":"Garrett","email":"","middleInitial":"Alexander","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925214,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carpenter, Kurt D. 0000-0002-6231-8335 kdcar@usgs.gov","orcid":"https://orcid.org/0000-0002-6231-8335","contributorId":127442,"corporation":false,"usgs":true,"family":"Carpenter","given":"Kurt","email":"kdcar@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925215,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Payne, Sean E. 0000-0003-1836-1886 spayne@usgs.gov","orcid":"https://orcid.org/0000-0003-1836-1886","contributorId":292581,"corporation":false,"usgs":true,"family":"Payne","given":"Sean","email":"spayne@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925216,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":925217,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70262843,"text":"70262843 - 2025 - Post-fire recovery of sagebrush-steppe communities is better explained by elevation than climate-derived indicators of resistance and resilience","interactions":[],"lastModifiedDate":"2025-03-11T14:55:21.542418","indexId":"70262843","displayToPublicDate":"2025-01-20T10:52:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Post-fire recovery of sagebrush-steppe communities is better explained by elevation than climate-derived indicators of resistance and resilience","docAbstract":"This study assesses the impacts of five proposed restoration actions at Little Dauphin Island, a low-lying relic spit in a semi-enclosed bay system on the Alabama coast. A Delft3D model is developed to simulate annual scale (five-year) sediment transport and resulting bed level changes. The model is validated with observed water level and wave data, as well as sediment tracers that were deployed offshore of the island. An XBeach model is developed to simulate storm-driven morphologic change and is validated for hurricanes Ivan (2004), Katrina (2005)and Sally (2020). Together, the models are used to assess differences in the island's morphological response under a no-action (status quo) scenario representing a continuous island, tidal inlet realignment, a sand motor nourishment, beach and dune restoration and a dredged offshore borrow area. The no-action scenario revealed that the island breached at multiple locations including the location of the proposed inlet realignment during each storm. The realigned channel did not prevent breaching on the island, but reduced the magnitude of sand transported through the breaches. The sand motor provided some sheltering to leeward shorelines during storms but did not prevent breaching from occurring elsewhere. Fairweather waves and currents were not strong enough to transport sand outside of the vicinity of the feature to feed adjacent shorelines as intended. The beach and dune restoration reduced storm-driven overtopping along the nourished shoreline. For habitat purposes, strategically placed bayous provided low elevation points that allowed overwash depending on the direction of cross-barrier water level gradients.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2025.104697","usgsCitation":"Passeri, D., Mickey, R.C., Thompson, D.M., Itzkin, M., Godsey, E., Bilskie, M.V., Seymour, A.C., Poisson, A., Ikeda, J., and Hagen, S.C., 2025, Modeling the impacts of sand placement strategies on barrier island evolution in a semi-enclosed bay system: Coastal Engineering, v. 197, 104697, 17 p., https://doi.org/10.1016/j.coastaleng.2025.104697.","productDescription":"104697, 17 p.","ipdsId":"IP-160092","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488657,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2025.104697","text":"Publisher Index Page"},{"id":484063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Little Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.13726832368842,\n 30.288724454387562\n ],\n [\n -88.13726832368842,\n 30.24248531935423\n ],\n [\n -88.07138489364338,\n 30.24248531935423\n ],\n [\n -88.07138489364338,\n 30.288724454387562\n ],\n [\n -88.13726832368842,\n 30.288724454387562\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"197","noUsgsAuthors":false,"publicationDate":"2025-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mickey, Rangley C. 0000-0001-5989-1432 rmickey@usgs.gov","orcid":"https://orcid.org/0000-0001-5989-1432","contributorId":141016,"corporation":false,"usgs":true,"family":"Mickey","given":"Rangley","email":"rmickey@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science 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V.","contributorId":166891,"corporation":false,"usgs":false,"family":"Bilskie","given":"Matthew","email":"","middleInitial":"V.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":932415,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seymour, Alexander C. 0000-0002-7680-6102","orcid":"https://orcid.org/0000-0002-7680-6102","contributorId":238616,"corporation":false,"usgs":true,"family":"Seymour","given":"Alexander","email":"","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932416,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poisson, Autumn C.","contributorId":348082,"corporation":false,"usgs":false,"family":"Poisson","given":"Autumn C.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":932417,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ikeda, Jin","contributorId":352910,"corporation":false,"usgs":false,"family":"Ikeda","given":"Jin","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":932418,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hagen, Scott C.","contributorId":166890,"corporation":false,"usgs":false,"family":"Hagen","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":932419,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70262772,"text":"70262772 - 2025 - Relationship of atmospheric nitrogen deposition to soil nitrogen cycling along an elevation gradient in the Colorado Front Range","interactions":[],"lastModifiedDate":"2025-01-22T15:43:31.325907","indexId":"70262772","displayToPublicDate":"2025-01-18T09:38:02","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":"Relationship of atmospheric nitrogen deposition to soil nitrogen cycling along an elevation gradient in the Colorado Front Range","docAbstract":"Microbial processing of atmospheric nitrogen (N) deposition regulates the retention and mobilization of N in soils, with important implications for water quality. Understanding the links between N deposition, microbial communities, N transformations, and water quality is critical as N deposition shifts toward reduced N and remains persistently high in many regions. Here, we investigated these connections along an elevation transect in the Colorado Front Range. Although rates of N deposition and pools of extractable N increased down the elevation transect, soil microbial communities and N transformation rates did not follow clear elevational patterns. The subalpine microbial community was distinct, corresponding to a high C:N ratio and low pH, while the microbial communities at the lower elevation sites were all very similar. Net nitrification, mineralization, and nitrification potential rates were highest at the Plains (1,700 m) and Montane (2,527 m) sites, suggesting that these ecosystems mobilize N. In contrast, the net immobilization of N observed at the Foothills (1,978 m) and Subalpine (3,015 m) sites suggests that these ecosystems retain N deposition. The contrast in N transformation rates between the plains and foothills, both of which receive elevated N deposition, may be due to spatial heterogeneity not captured in this study and warrants further investigation. Stream N concentrations from the subalpine to the foothills were consistently low, indicating that these soils are currently able to process and retain N deposition, but this may be disrupted if drought, wildfire, or land-use change alter the ability of the soils to retain N.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024EF005356","usgsCitation":"Repert, D.A., Heindel, R.C., Murphy, S.F., and Jeanis, K., 2025, Relationship of atmospheric nitrogen deposition to soil nitrogen cycling along an elevation gradient in the Colorado Front Range: Earth's Future, v. 13, no. 1, e2024EF005356, 21 p., https://doi.org/10.1029/2024EF005356.","productDescription":"e2024EF005356, 21 p.","ipdsId":"IP-167721","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":481025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024ef005356","text":"Publisher Index Page"},{"id":480924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Boulder Creek watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.21995605837795,\n 40.146352440408236\n ],\n [\n -105.66472403382133,\n 40.146352440408236\n ],\n [\n -105.66472403382133,\n 39.92869777894276\n ],\n [\n -105.21995605837795,\n 39.92869777894276\n ],\n [\n -105.21995605837795,\n 40.146352440408236\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":924733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heindel, Ruth C. 0000-0001-6292-2076","orcid":"https://orcid.org/0000-0001-6292-2076","contributorId":225133,"corporation":false,"usgs":false,"family":"Heindel","given":"Ruth","email":"","middleInitial":"C.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":924734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":924735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jeanis, Kaitlyn M.","contributorId":349755,"corporation":false,"usgs":false,"family":"Jeanis","given":"Kaitlyn M.","affiliations":[],"preferred":false,"id":924736,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262522,"text":"70262522 - 2025 - From subsidies to stressors: Shifting ecological baselines alter biological responses to nutrients in highly modified agricultural streams","interactions":[],"lastModifiedDate":"2025-01-22T14:45:54.773366","indexId":"70262522","displayToPublicDate":"2025-01-17T09:57:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"From subsidies to stressors: Shifting ecological baselines alter biological responses to nutrients in highly modified agricultural streams","docAbstract":"Subsidy–stress gradients offer a useful framework for understanding ecological responses to perturbation and may help inform ecological metrics in highly modified systems. Historic, region-wide shifts from bottomland hardwood forest to row crop agriculture can cause positively skewed impact gradients in alluvial plain ecoregions, resulting in tolerant organisms that typically exhibit a subsidy response (increased abundance in response to environmental stressors) shifting to a stress response (declining abundance at higher concentrations). As a result, observed biological tolerance in modified ecosystems may differ from less modified regions, creating significant challenges for detecting biological responses to restoration efforts. Using the agriculturally dominated Mississippi Alluvial Plain (MAP) ecoregion in Mississippi, USA, as a case study, we tested the hypothesis that macroinvertebrate taxa that typically display a subsidy response to nutrient enrichment in less modified ecoregions (i.e., nutrient-tolerance) shift to a stress response to increasing nutrients in highly modified watersheds with elevated baseline nutrient conditions (i.e., nutrient intolerance). The abundance and diversity of MAP-specific intolerant taxa identified with threshold indicator taxa analysis were either unresponsive or exhibited a subsidy response to increasing nutrients in less modified ecoregions in Mississippi with less land alteration and lower nutrient concentrations, but declined at higher concentrations, providing evidence for a stress response to elevated nutrients in the MAP. Additionally, MAP-specific tolerant and intolerant taxa richness responded to increased nutrients predictably and consistently across space and time within the MAP. However, in MAP streams, elevated specific conductance was predicted to dampen the response of tolerant and intolerant taxa richness to increasing nutrient concentrations, highlighting the importance of considering multistressor interactions when interpreting biological data. Lastly, we demonstrate the efficacy of this approach with sediment bacterial communities characterized with amplicon sequencing, which lack sufficient life history characteristics necessary for the development of multimetric indices. Both macroinvertebrate and bacterial communities responded similarly to increasing nutrient concentrations, suggesting DNA-based approaches may provide an efficient biological assessment tool for monitoring water quality improvements in highly modified watersheds.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.3086","usgsCitation":"Devilbiss, S., Taylor, J., and Hicks, M.B., 2025, From subsidies to stressors: Shifting ecological baselines alter biological responses to nutrients in highly modified agricultural streams: Ecological Applications, v. 35, no. 1, e3086, 21 p., https://doi.org/10.1002/eap.3086.","productDescription":"e3086, 21 p.","ipdsId":"IP-159539","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":481027,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.3086","text":"Publisher Index Page"},{"id":480830,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Devilbiss, Stephen Edward 0000-0002-3512-2505","orcid":"https://orcid.org/0000-0002-3512-2505","contributorId":343984,"corporation":false,"usgs":true,"family":"Devilbiss","given":"Stephen Edward","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Jason M. 0000-0001-9240-2151","orcid":"https://orcid.org/0000-0001-9240-2151","contributorId":343985,"corporation":false,"usgs":false,"family":"Taylor","given":"Jason M.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":924443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hicks, Matthew B. 0000-0001-5516-0296 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The U.S. Geological Survey developed this hydrogeologic framework to provide an updated characterization of groundwater resources in the western Snake River Plain around the City of Mountain Home. The hydrogeologic framework comprises: (1) a conceptual description of hydrogeologic units, (2) a three-dimensional hydrogeologic model and borehole database, (3) a map of groundwater levels and change, and (4) a discussion of groundwater occurrence and movement within the study area. Hydrogeologic units were defined based on existing literature and the borehole database compiled for this study; the five hydrogeologic units are granite, rhyolite, basalt, fine-grained sediments, and coarse-grained sediments. Each unit can bear water, but the main regional aquifer in the study area occurs in the basalt and fine-grained sediment units with depth to water ranging from 150 to 765 feet. A perched groundwater zone near the City of Mountain Home is primarily hosted in basalt and used domestically with most depths to water ranging from 30 to 100 feet. Interflow zones, scoria, and vertical fractures create heterogeneity within the basalt hydrogeologic unit that exerts strong control on groundwater movement, creating horizontal perching conditions and zones of enhanced vertical conductivity that facilitate downward groundwater percolation. In the fine- and coarse-grained sediments and rhyolite units, inferred faults both impede and enhance groundwater movement. The borehole database was constructed by digitizing 540 well-driller reports and was used to build a three-dimensional hydrogeologic framework model which reasonably represents the spatial distribution of hydrogeologic units in the study area. Generally, fine-grained sediments underlie much of the study area, with basalt concentrated in the central and western study area and rhyolite and granite in the uplands to the north. Groundwater levels were measured in 180 wells in March and November 2023; these data were used to develop water-table contour maps and describe groundwater-level change over an irrigation season. Groundwater generally flows south-southwest to the Snake River and groundwater levels declined across most of the study area (from 0.03 to 22.01 feet) between spring and autumn 2023, which is consistent with long-term declines in the Cinder Cone Butte Critical Groundwater Area and Mountain Home Groundwater Management Area. Groundwater levels rose (0.6 to 15.44 feet) over the irrigation season in most wells in the perched groundwater zone near the City of Mountain Home and near the Snake River, indicating the importance of surface-water recharge to groundwater in areas where surface water irrigation occurs. In aggregate, this hydrogeologic framework provides an updated characterization of and new insights into groundwater resources in the study area to help inform water resources management.
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230 Collins Rd
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Geologic, or naturally occurring, hydrogen has the potential to become a new, low-carbon, primary energy resource. Often referred to as “white” or “gold” hydrogen, this gas occurs naturally in the Earth’s subsurface, similar to petroleum resources. However, unlike petroleum, which releases carbon dioxide when burned, burning hydrogen only produces water as a byproduct. Exploration for geologic hydrogen remains in an early stage and discoveries of high concentrations of subsurface hydrogen are still relatively rare. To facilitate research and exploration for this potential resource, this report presents the first publicly available prospectivity map of geologic hydrogen accumulations in the conterminous United States. Prospective regions are those regions in which all major components necessary for a hydrogen accumulation likely are present—a source of sufficient hydrogen generation, porous reservoirs for storage, and seals to prevent leakage. The midcontinent region of the United States and the central California coast are revealed as having high prospectivity. This analysis also identifies previously unrecognized prospective regions that may be favorable due to long distance lateral migration of subsurface hydrogen, such as the offshore eastern seaboard of the United States, and can provide a linkage between surface observations of hydrogen degassing and far-field source regions. The methodology developed to create this map is expandable and flexible and may be adapted to incorporate new concepts in the hydrogen system and for application to other regions of the world.
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U.S. Geological Survey
Box 25046, Mail Stop 939
Denver, CO 80225
Groundwater flow paths and processes that govern metal mobility and transport are difficult to characterize in mountainous bedrock watersheds. Despite the difficulty in holistic characterization, conceptual understanding of subsurface hydrologic and geochemical processes is key to developing remediation plans for locations affected by acid mine drainage, such as the Upper Animas River watershed in southwestern Colorado, USA. Stable isotopes of water and rare earth elements were utilized to evaluate groundwater flow and metal sources within this complex catchment. Stable isotope samples collected from draining mine adits and springs display systematic spatial variation wherein sample sites at higher elevations have greater seasonal variability than sites at lower elevations. The Upper Cement Creek watershed, where multiple draining mines are present, displays the lowest seasonal variation in stable isotopic signatures, potentially indicating the presence of a large, well-mixed volume of groundwater storage or interbasin groundwater flow. Rare earth elements display statistically significant variation between different alteration styles in the catchment. Overprinting of regional propylitic alteration is evident based on enrichment of middle rare earth elements in acidic springs and mines that are not spatially associated with surficial exposures of acid generating alteration styles. Europium anomaly and middle rare earth enrichment signatures from two flooded mine tunnels on opposite sides of a watershed divide indicate connections to the same subsurface flooded mine workings.
","language":"English","publisher":"Geological Society of London","doi":"10.1144/geochem2024-023","usgsCitation":"Newman, C.P., Cowie, R.M., Wilkin, R., and Navarre-Sitchler, A., 2025, Tracing metal sources and groundwater flow paths in the Upper Animas River watershed using rare earth elements and stable isotopes: Geochemistry: Exploration, Environment, Analysis, v. 25, no. 1, geochem2024-023, 13 p., https://doi.org/10.1144/geochem2024-023.","productDescription":"geochem2024-023, 13 p.","ipdsId":"IP-165955","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":480747,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":481028,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1144/geochem2024-023","text":"Publisher Index Page"}],"country":"United States","state":"Colorado","otherGeospatial":"Upper Animas River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.70,\n 37.93\n ],\n [\n -107.70,\n 37.86\n ],\n [\n -107.56,\n 37.86\n ],\n [\n -107.56,\n 37.93\n ],\n [\n -107.70,\n 37.93\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cowie, Rory M.","contributorId":270098,"corporation":false,"usgs":false,"family":"Cowie","given":"Rory","email":"","middleInitial":"M.","affiliations":[{"id":56077,"text":"Alpine Water Resources","active":true,"usgs":false}],"preferred":false,"id":924249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilkin, Rick 0000-0002-8635-9545","orcid":"https://orcid.org/0000-0002-8635-9545","contributorId":345122,"corporation":false,"usgs":false,"family":"Wilkin","given":"Rick","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":924250,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Navarre-Sitchler, Alexis","contributorId":190441,"corporation":false,"usgs":false,"family":"Navarre-Sitchler","given":"Alexis","email":"","affiliations":[],"preferred":false,"id":924251,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262495,"text":"70262495 - 2025 - Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA","interactions":[],"lastModifiedDate":"2025-01-17T16:06:37.26906","indexId":"70262495","displayToPublicDate":"2025-01-16T10:01:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA","docAbstract":"Forecasting water levels in complex ecosystems like wetlands can support effective water resource management, ecological conservation, and understanding surface and groundwater hydrology. Predictive models can be used to simulate the complex interactions among natural processes, hydrometeorological factors, and human activities. The Greater Everglades in the USA is a well-known example of an ecosystem where complexity has motivated adoption of machine learning algorithms in water level prediction studies. This paper aims to contribute to extending existing machine learning algorithms by integrating spatiotemporal data with deep-learning algorithms in the forecasting process. In this study, a deep-learning model is developed to predict water levels on a regional scale, covering a large area of approximately 9,138 square kilometers in the Everglades ecosystem. This model has the architecture of Convolutional Long Short-Term Memory which can deal with spatiotemporal data by capturing both spatial and temporal dependencies in the training data. The forecasting capabilities of this model (referred to as the global model) are assessed by comparing the global model to two Artificial Neural Networks developed at two different gaging stations, referred to here as local models. One local model is developed at a gaging station directly influenced by nearby water control structures, whereas the other is developed at a gaging station located farther away from these structures. By leveraging data from the Everglades Depth Estimation Network spanning from January 2002 to May 2023, the global and local models were trained to forecast water levels with a two-day lead time. Our findings suggest that both the global and local models perform with approximately the same level of accuracy, with Mean Absolute Relative Error values ranging from 0.38% to 1.4% at the selected stations. The developed global model has demonstrated strong potential as a standalone forecasting tool for the entire study area in the Everglades and could eliminate the need for developing multiple local models. This finding also highlights how machine learning can capture complex spatial and temporal relationships to generate accurate water level predictions on a regional scale.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.132195","usgsCitation":"Bassah, R., Corzo Perez, G.A., Bhattacharya, B., Haider, S., Swain, E.D., and Aumen, N., 2025, Forecasting water levels using the ConvLSTM algorithm in the Everglades, USA: Journal of Hydrology, v. 652, 132195, 17 p., https://doi.org/10.1016/j.jhydrol.2024.132195.","productDescription":"132195, 17 p.","ipdsId":"IP-165910","costCenters":[{"id":269,"text":"FLWSC-Ft. 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Lauderdale","active":true,"usgs":true}],"preferred":true,"id":924381,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262136,"text":"70262136 - 2025 - Optimization of wetland environmental DNA metabarcoding protocols for Great Lakes region herpetofauna","interactions":[],"lastModifiedDate":"2025-01-30T15:42:13.247195","indexId":"70262136","displayToPublicDate":"2025-01-16T09:39:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"Optimization of wetland environmental DNA metabarcoding protocols for Great Lakes region herpetofauna","docAbstract":"Many species of reptiles and amphibians (herpetofauna) rely on wetlands that are being degraded and lost at a high rate. Characterization of herpetofauna diversity in different wetland types may help guide conservation strategies. However, traditional survey methods often involve sampling within small temporal windows, and the gear deployed may be taxonomically biased, thus, they may fail to accurately characterize species presence/absence and diversity. In contrast, environmental (e)DNA metabarcoding has been shown to effectively survey entire aquatic communities and can provide a useful complement to traditional surveys. The objective of this study was to design and optimize eDNA sampling and laboratory protocols for wetland herpetofauna. Protocols evaluated included different water sampling approaches (point versus transect sampling), seasonality of sampling, and choice of metabarcoding marker (mitochondrial 12S versus 16S rDNA). Samples collected from 10 sites across southern Michigan detected 17 amphibian and five reptile species, including four species of conservation concern (Ambystoma texanum, Clemmys guttata, Rana palustris, and Sternotherus odoratus). We observed no difference in the number of species detected between point and transect samples (p = 0.70), but point sampling required less time (p = 0.03) and allowed significantly larger volumes of water to be filtered (p = 1.13e-5). No difference in species richness was observed between the 12S and 16S mitochondrial DNA markers (p = 0.96). However, a greater number of taxa were identifiable at the species level when using the 16S locus. There was also a significant difference in the number of species detected between early and late summer sampling periods (more species detected in the earlier period; p = 6.31e-6), and some species were only found in the early or late sampling period. Sampling during multiple periods to fully characterize species composition, the use of point sampling, and the 16S mtDNA marker for herpetofauna eDNA metabarcoding studies may increase efficiency and reliability of results.
","language":"English","publisher":"Wiley","doi":"10.1002/edn3.70047","usgsCitation":"Ruppert, O., Homola, J.J., Kanefsky, J., Swinehart, A., Scribner, K., and Robinson, J.D., 2025, Optimization of wetland environmental DNA metabarcoding protocols for Great Lakes region herpetofauna: Environmental DNA, v. 7, no. 1, e70047, 16 p., https://doi.org/10.1002/edn3.70047.","productDescription":"e70047, 16 p.","ipdsId":"IP-166473","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":489854,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.70047","text":"Publisher Index Page"},{"id":481505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruppert, Olivia M.","contributorId":348207,"corporation":false,"usgs":false,"family":"Ruppert","given":"Olivia M.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":923245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homola, Jared Joseph 0000-0003-3821-7224","orcid":"https://orcid.org/0000-0003-3821-7224","contributorId":303741,"corporation":false,"usgs":true,"family":"Homola","given":"Jared","email":"","middleInitial":"Joseph","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kanefsky, Jeannette","contributorId":243198,"corporation":false,"usgs":false,"family":"Kanefsky","given":"Jeannette","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":923247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swinehart, Alyssa","contributorId":348208,"corporation":false,"usgs":false,"family":"Swinehart","given":"Alyssa","affiliations":[{"id":15305,"text":"Grand Valley State University","active":true,"usgs":false}],"preferred":false,"id":923248,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scribner, Kim T.","contributorId":340939,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim T.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":923249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robinson, John D.","contributorId":288851,"corporation":false,"usgs":false,"family":"Robinson","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":923250,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70264082,"text":"70264082 - 2025 - Ecohydrological response of a forested headwater catchment to a flash drought in the Southeastern U.S.","interactions":[],"lastModifiedDate":"2025-03-06T15:26:45.148976","indexId":"70264082","displayToPublicDate":"2025-01-16T09:06:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Ecohydrological response of a forested headwater catchment to a flash drought in the Southeastern U.S.","docAbstract":"Flash droughts differ from traditionally defined droughts in their rapidity of intensification and often associated high vapor-pressure deficit. These droughts can lead to declines in streamflow and water table depth and induce water stress to vegetation at a greater rate than droughts that manifest over longer periods. However, little is known regarding the response of forested environments to flash drought because most studies of impacts have been conducted in agricultural settings. In this study we investigated water-use patterns of riparian trees using sap flow methods and examined the role of groundwater as a source of moisture over three periods that were delimited by antecedent soil moisture conditions. For a longer-term perspective we also examine monthly streamflow over the 35-year record. We observed that trees at only one monitoring plot showed a decrease in water use relative to evaporative demand during a flash drought. Total reverse sap flow (flow toward the roots rather than the canopy) greatly increased during the flash drought period, suggesting the likely occurrence of hydraulic redistribution to the excessively dry soils. Over the drought period groundwater became a more dominant source of moisture for sustaining forest water use. Monthly mean streamflow during the flash drought approached levels observed in past multiyear droughts. This is the first study, to our knowledge, to specifically investigate the response of multiple water budget components to flash drought in a humid forest. As more studies are conducted, a better understanding of the range of expected responses are likely to emerge.
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Broad assessment of water availability requires the consideration of multiple indicators because water users have different sensitivities to the degradation of water conditions. This chapter draws upon estimates of water supply, water use, and water quality to develop an integrated assessment of water availability in the conterminous United States (CONUS) for water years 2010–2020. The surface water-supply and use index (SUI) was used to express limitation arising from high water consumption in relation to water supply. Ecological stress was also assessed using indicators of ecologically detrimental flow alteration. Benchmarks of human and ecological health were used to assess water quality in relation to several key uses nationwide. In all, we find that 10 of 18 hydrologic regions have severe water stress in at least 1 indicator. Furthermore, it was common for regions to have high or severe stress in more than one indicator, which emphasizes that limitations often co-occur. For example, regions with high SUIs may also have an increased tendency to experience water quality degradation or ecologically detrimental flow alteration. Furthermore, we compared the spatial distribution of water availability against the Centers for Disease Control Social Vulnerability Index (SVI) to examine the relative distribution of socially vulnerable populations in relation to limitations on water availability. We found a tendency for an increasing segment of the population exposed to elevated SUI or water-quality degradation to be from socially vulnerable groups, as defined by SVI. This finding is similar to other studies that have noted greater water-availability limitations among socially vulnerable groups. By considering multiple indicators of water availability as a whole, greater insight into the distribution of limitations affecting water availability was gained and contributed to a more comprehensive assessment.
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Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, Virginia 20192
Contact Integrated Water Availability Assessment Team
","tableOfContents":"The steady rise in global temperature as a result of human activity is causing changes in Earth’s water cycle. The balance of water stored within and moving between vapor, liquid, and frozen states in the water cycle is shifting, with consequences for water availability that include increases in drought, fire weather, flooding, and heavy precipitation, as well as cryosphere decline and sea-level rise. In this chapter of the U.S. Geological Survey Integrated Water Availability Assessment—2010–20, we provide an overview of climate-change observations and projections from Earth-system model simulations that relate to future water availability, from global and national climate assessments and from the published literature. Effects of climate change on primary water-cycle components are discussed in context of how global-scale hydroclimate drivers influence regional processes within the United States. Understanding the major climate drivers impacting the water cycle is crucial to predicting future changes in water availability and developing adaptation strategies to ensure human and ecosystem water supplies. First, we provide background information on the water cycle, the climate-model ensemble simulations developed to produce projections based on warming scenarios, and attribution and certainty levels. Tipping points, self-reinforcing feedbacks, cascading effects, and compound extremes are introduced. The framework of climatic impact drivers (CIDs) outlined in the Intergovernmental Panel on Climate Change Sixth Assessment Report (IPCC AR6) is used to show primary drivers of physical change to the water cycle and to understand and predict changes in future water availability. Specific climate-change related observations and projections are discussed for water cycle components of precipitation, evapotranspiration, soil moisture, streamflow, lakes and wetlands, ice and snow, and groundwater, as well as their implications for future water availability for humans and ecosystems. The chapter concludes with a synthesis discussion of three examples of complex regional-scale hydroclimate processes that influence water availability for populations in the United States, including (1) mountain and coastal precipitation, (2) aridification and drought, and (3) the influence of forest-cover change on terrestrial water-vapor recycling.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1894E","programNote":"Water Availability and Use Science Program and National Water Quality Program","usgsCitation":"Scholl, M.A., McCabe, G.J., Olson, C.G., and Powlen, K.A., 2025, Climate change and future water availability in the United States, chap. 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Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, Virginia 20192
Contact Integrated Water Availability Assessment Team
Withdrawals of water for human use are fundamental to the evaluation of the Nation’s water availability. This chapter provides an analysis of public supply, crop irrigation, and thermoelectric power water use for the conterminous United States (CONUS) during water years 2010–20. These three categories account for about 90 percent of water withdrawals in the Nation. The values presented here are based on modeling approaches that estimate water use at temporal (monthly) and spatial scales (12-digit hydrologic unit code—small watersheds sized 50–100 square kilometers) compatible for integration into a broader national assessment of water availability. Models also provide an understanding of factors that influence water use.
An estimated 244,817 million gallons per day (Mgal/d; 28,677 million cubic meters per month [Mm3/mo]) were withdrawn on average within the CONUS during water years 2010–20 from fresh water and saline water for crop irrigation, public supply, and thermoelectric power, with shares of 43, 14.5, and 42.5 percent for each of these categories, respectively. In the same period, estimated withdrawals and consumptive use (1) for public supply were 35,400 and 4,219 Mgal/d (4,081 and 486 Mm3/mo), respectively; (2) for crop irrigation were 105,497 and 75,698 Mgal/d (12,147 and 8,716 Mm3/mo), respectively; and (3) for thermoelectric power from fresh water were 82,656 and 2,904 Mgal/d (9,952 and 345 Mm3/mo), respectively.
Withdrawals for these categories of water use are highly spatially variable, with western States dominated by crop irrigation and eastern States dominated by thermoelectric-power water use. Public supply accounts for the largest percentage of water use in several heavily populated northeastern States. Reliance on groundwater compared to surface water depends on the availability of water sources and the type of water use. For public supply, withdrawals from groundwater are greater than withdrawals from surface water in the Western aggregated hydrologic regions, whereas the balance shifts to more surface water for the rest of the CONUS. In all aggregated hydrologic regions, the predominant source of water for crop irrigation is groundwater. Most thermoelectric power facilities in the eastern half of the CONUS use surface water from freshwater and saline sources; most thermoelectric power facilities in the western half of the CONUS use groundwater.
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Contact Integrated Water Availability Assessment Team
","tableOfContents":"Degradation of water quality can make water harmful or unusable for humans and ecosystems. Although many studies have assessed the effect of individual constituents or narrow suites of constituents on freshwater systems, no consistent, comprehensive assessment exists over the wide range of water-quality effects on water availability. Using published studies, data, and models completed at regional or national scales in the United States during 2010–20, this chapter moves towards a comprehensive assessment by summarizing how selected anthropogenic and geogenic water-quality constituents affect national-scale water availability for human and ecosystem needs. Several types of human health, agricultural, ecological, and beneficial-use standards or thresholds were used to provide context for categorizing surface-water and groundwater quality.
Water availability for human and ecological use is limited by elevated concentrations of geogenic and anthropogenic constituents in surface and groundwater. Elevated concentrations of five geogenic constituents (arsenic, manganese, strontium, radium, and adjusted gross alpha) are common in groundwater and collectively affect the drinking water supply to over 30 million people. Surface water sourced drinking water supplies are impaired in about a third of assessed stream miles, most commonly because of non-mercury metals and salinity. Health-based violations at community water systems may disproportionately affect socially vulnerable communities. Ecological water uses are predominantly limited by nutrients, sediment, temperature, pathogens, salinity, and pesticides.
Water availability for human and ecological use is adversely affected by human activities including human contaminant sources (for example, wastewater, agriculture), processes (for example, dredging, groundwater pumping), or permanent landscape modifications (for example, dams, urbanization). Primary contaminant sources vary spatially and include fertilizer and manure, atmospheric deposition, wastewater treatment plants, urban land, and a range of natural sources. Contaminants of emerging concern, contaminants without regulatory thresholds, and mixtures of geogenic and anthropogenic water contaminants also contribute to ecological degradation and human exposure.
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February 5, 2025","contact":"Integrated Water Availability Assessment
Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, Virginia 20192
Contact Integrated Water Availability Assessment Team
","tableOfContents":"We present an assessment of water supply across the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico covering water years 2010–20. Our analysis drew on two national hydrologic models, the National Hydrologic Model Precipitation-Runoff Modeling System and the Weather Research and Forecasting model hydrologic modeling system. Both models produced estimates of streamflow, evapotranspiration, soil moisture, snow water equivalent, and other hydrologic states and fluxes. The models were driven by the bias-adjusted 4-kilometer-resolution, long-term regional hydroclimate simulation over the conterminous United States dataset (CONUS404). We assessed spatial and temporal error distributions by comparing monthly simulations at the 12-digit hydrologic unit code and regional scale from both models against external benchmarking datasets. Results showed that average annual rainfall across the CONUS was 857 millimeters per year for the period of analysis, with water year 2012 the driest year (729 millimeters) and water year 2019 the wettest year (995 millimeters). Key interannual variability results included the following: (1) the California–Nevada hydrologic region had the highest variability in precipitation and snow accumulation, and (2) the Texas hydrologic region was among hydrologic regions with the highest variability in precipitation. We related interannual variability in precipitation to storage volumes in soil moisture, snow water equivalent, and lakes and reservoirs to highlight areas with little storage and large year-to-year variability in precipitation. These areas included the Southern High Plains, Central High Plains, Texas, Souris–Red–Rainy, Mississippi Embayment, and Midwest regions. Our analysis of groundwater-level data showed that several of these areas overlap aquifers where groundwater levels were considerably lower than historical averages, including the Colorado Plateaus aquifers, the Rio Grande aquifer system, and the Central and Southern regions of the High Plains aquifer. Many of these lowered groundwater levels are continuations of decades-long declines from overpumping that started well before the assessment period. The resulting water budgets and their analyses provide a high-resolution foundational assessment of the mean state and variability of the terrestrial hydrologic cycle across the CONUS and Alaska, Hawaii, and Puerto Rico to support a wide range of water resource management applications.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1894B","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","programNote":"Water Availability and Use Science Program and National Water Quality Program","usgsCitation":"Gorski, G., Stets, E.G., Scholl, M.A., Degnan, J.R., Mullaney, J.R., Galanter, A.E., Martinez, A.J., Padilla, J., LaFontaine, J.H., Corson-Dosch, H.R., and Shapiro, A., 2025, Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20 (ver. 1.2, July 2025), chap. B of U.S. Geological Survey Integrated Water Availability Assessment—2010–20: U.S. Geological Survey Professional Paper 1894–B, 60 p., https://doi.org/10.3133/pp1894B.","productDescription":"Report: ix, 60 p.; Data Release","numberOfPages":"76","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-158783","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":492025,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118298.htm","text":"version 1.0","linkFileType":{"id":5,"text":"html"}},{"id":480853,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1894/b/images"},{"id":466225,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1RBMDUT","text":"USGS data release","linkHelpText":"Monthly ensemble outputs from the National Hydrologic Model Precipitation-Runoff Modeling System and the Weather Research and Forecasting 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Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, Virginia 20192
Contact Integrated Water Availability Assessment Team
","tableOfContents":"Water availability is fundamentally important to human well-being, economic vitality, and ecosystem health. Because of its central importance, the U.S. Congress tasked the U.S. Geological Survey (USGS) and other Federal agencies with conducting regular, comprehensive assessments of water availability in the United States through the requirements under the SECURE Water Act. In response to this mandate, the USGS has developed the U.S. Geological Survey Integrated Water Availability Assessment—2010–20, which addresses aspects of water supply, quality, and use related to water availability in the United States. This is the first chapter of that report. The major climatic factors affecting water availability are also described. Multiple aspects of water availability are integrated to produce a more comprehensive analysis of water availability in the United States. This chapter enumerates the development, organization, and tools used in the USGS Integrated Water Availability Assessment. SECURE Water Act reports, developed by the Department of Energy Hydropower Climate Change Assessment and the Bureau of Reclamation West-Wide Climate and Hydrology Assessment, are also described. A distilled list of key findings from the overall report is also provided, serving as an introduction to each topic along with the most important high-level information.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1894A","programNote":"Water Availability and Use Science Program and National Water Quality Program","usgsCitation":"Stets, E.G., Archer, A.A., Degnan, J.R., Erickson, M.L., Gorski, G., Medalie, L., and Scholl, M.A., 2025, The National integrated water availability assessment, water years 2010–20, chap. 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Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, Virginia 20192
Contact Integrated Water Availability Assessment Team
","tableOfContents":"This professional paper is a multichapter report that assesses water availability in the United States for water years 2010–20. This work was conducted as part of the fulfillment of the mandates of Subtitle F of the Omnibus Public Land Management Act of 2009 (Public Law 111-11), also known as the SECURE Water Act. As such, this work examines the spatial and temporal distribution of water quantity and quality in surface water and groundwater, as related to human and ecosystem needs and as affected by human and natural influences. Chapter A introduces the National Integrated Water Availability Assessment and provides important background and definitions for how the report characterizes water availability and its components. Chapter A also presents the key findings of Chapters B–F and thus acts as a summary of the entire report. Chapter B is a national assessment of water supply, which is the quantity of water supplied through climatic inputs. Chapter C is a national assessment of water quality, which is the chemical and physical characteristics of water. Chapter D assesses water use including withdrawals and consumptive use in the conterminous United States. Chapter E presents an analysis of factors affecting future water availability under changing climate conditions. The National Integrated Water Availability Assessment culminates with Chapter F, which is an integrated assessment of water availability that considers the amount and quality of water coupled with the suitability of that water for specific uses. Together, these six chapters constitute the National Integrated Water Availability Assessment for water years 2010–20.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1894","usgsCitation":"Stets, E.G., ed., 2025, U.S. Geological Survey Integrated Water Availability Assessment—2010–20: U.S. Geological Survey Professional Paper 1894, [variously paged], https://doi.org/10.3133/pp1894.","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":466164,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1894/coverthb.jpg"},{"id":467974,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1894/a/pp1894A.pdf","text":"Report","size":"22.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1894–A"}],"contact":"Integrated Water Availability Assessment
Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, Virginia 20192
Contact Integrated Water Availability Assessment Team
","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-15","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"editors":[{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":923073,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}} ,{"id":70262209,"text":"70262209 - 2025 - The Center for the Advancement of Population Assessment Methodology (CAPAM): A perspective on the first 10 years","interactions":[],"lastModifiedDate":"2025-01-15T17:17:57.378213","indexId":"70262209","displayToPublicDate":"2025-01-15T10:14:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"The Center for the Advancement of Population Assessment Methodology (CAPAM): A perspective on the first 10 years","docAbstract":"The Center for the Advancement of Population Assessment Methodology (CAPAM) was established in 2013, envisioned as an institute that could conduct, organize, and communicate stock assessment research with the aim of benefiting fisheries assessment efforts internationally. CAPAM’s activities have focused on its workshop series and consequent special issues in Fisheries Research. The information generated through CAPAM and its permanent recording as journal articles has greatly benefited the stock assessment community and can potentially contribute to modelling in general. We discuss what has made CAPAM successful, its future, and what could be done to reach the ultimate goal of producing a good practices guide for fisheries stock assessment.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2024.107162","usgsCitation":"Maunder, M., Crone, P., Semmens, B.X., Valero, J., Waterhouse, L., Methot, R., and Punt, A.E., 2025, The Center for the Advancement of Population Assessment Methodology (CAPAM): A perspective on the first 10 years: Fisheries Research, v. 281, 107162, 8 p., https://doi.org/10.1016/j.fishres.2024.107162.","productDescription":"107162, 8 p.","ipdsId":"IP-164132","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"281","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Maunder, Mark N.","contributorId":348521,"corporation":false,"usgs":false,"family":"Maunder","given":"Mark N.","affiliations":[{"id":83372,"text":"American Tropical Tuna Commission","active":true,"usgs":false}],"preferred":false,"id":923510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crone, Paul R.","contributorId":348522,"corporation":false,"usgs":false,"family":"Crone","given":"Paul R.","affiliations":[{"id":18933,"text":"NOAA Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":923511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Semmens, Brice X.","contributorId":149775,"corporation":false,"usgs":false,"family":"Semmens","given":"Brice","email":"","middleInitial":"X.","affiliations":[{"id":17820,"text":"Scripps Institution of Oceanography, University of California, San Diego","active":true,"usgs":false}],"preferred":false,"id":923512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valero, Juan L.","contributorId":348523,"corporation":false,"usgs":false,"family":"Valero","given":"Juan L.","affiliations":[{"id":83375,"text":"Inter-American Tropical Tuna Commission","active":true,"usgs":false}],"preferred":false,"id":923513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waterhouse, Lynn 0000-0002-7455-7632","orcid":"https://orcid.org/0000-0002-7455-7632","contributorId":348524,"corporation":false,"usgs":true,"family":"Waterhouse","given":"Lynn","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Methot, Richard D.","contributorId":348525,"corporation":false,"usgs":false,"family":"Methot","given":"Richard D.","affiliations":[{"id":83376,"text":"National Marine Fisheries Service – NWFSC","active":true,"usgs":false}],"preferred":false,"id":923515,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Punt, Andre E.","contributorId":172069,"corporation":false,"usgs":false,"family":"Punt","given":"Andre","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":923516,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70262135,"text":"70262135 - 2025 - Endemic and invasive species: A history of distributional trends in the fish fauna of the lower New River drainage","interactions":[],"lastModifiedDate":"2025-01-15T17:02:19.54134","indexId":"70262135","displayToPublicDate":"2025-01-15T09:54:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Endemic and invasive species: A history of distributional trends in the fish fauna of the lower New River drainage","docAbstract":"Invasive species are often central to conservation efforts, particularly when concerns involve potential impacts on rare, endemic native species. The lower New River drainage of the eastern United States is a watershed that warrants conservation assessment, as the system is naturally depauperate of native fish species and it is nearly saturated with non-native fish species: there are 31 natives, including at least nine endemic taxa, and 63 non-natives. For endemic taxa, we examined temporal distribution shifts (range expansions or contractions) based on percent change in the occupied watershed area. We contrasted these findings with time series analyses on distribution trends of non-native minnows (Leuciscidae) and darters (Percidae) based on growth curve models of the cumulative sum of the total area of occupied 12-digit hydrologic unit codes. We documented range reductions for six of nine endemic taxa. We determined that 11 of 18 non-native minnows and 6 of 8 non-native darters were invasive based on range expansions and associated invasion curve models. The endemic taxa are of conservation concern given the limited distribution ranges and documented population declines. Although among-species comparisons of range shifts do not support causal inference, documentation of changes in distribution ranges of endemic and invasive species is critical to inform conservation efforts.
","language":"English","publisher":"MDPI","doi":"10.3390/w17020221","usgsCitation":"Welsh, S.A., Cincotta, D., Owens, N., and Stauffer, J.R., 2025, Endemic and invasive species: A history of distributional trends in the fish fauna of the lower New River drainage: Water, v. 17, no. 2, 221, 23 p., https://doi.org/10.3390/w17020221.","productDescription":"221, 23 p.","ipdsId":"IP-173053","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w17020221","text":"Publisher Index Page"},{"id":466432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee, Virginia, West Virginia","otherGeospatial":"New River drainage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.06585576020927,\n 38.59746796567387\n ],\n [\n -82.06585576020927,\n 35.986473012540856\n ],\n [\n -80.05188055833794,\n 35.986473012540856\n ],\n [\n -80.05188055833794,\n 38.59746796567387\n ],\n [\n -82.06585576020927,\n 38.59746796567387\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":217037,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"","middleInitial":"A.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cincotta, Daniel A.","contributorId":273118,"corporation":false,"usgs":false,"family":"Cincotta","given":"Daniel A.","affiliations":[{"id":56173,"text":"West Virginia DNR","active":true,"usgs":false}],"preferred":false,"id":923242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Owens, Nathaniel V.","contributorId":348205,"corporation":false,"usgs":false,"family":"Owens","given":"Nathaniel V.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":923243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stauffer, Jay R. Jr.","contributorId":119700,"corporation":false,"usgs":false,"family":"Stauffer","given":"Jay","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":923244,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262811,"text":"70262811 - 2025 - Ecosystem drivers of freshwater mercury bioaccumulation are context-dependent: Insights from continental-scale modeling","interactions":[],"lastModifiedDate":"2025-02-11T15:47:21.150766","indexId":"70262811","displayToPublicDate":"2025-01-15T09:35:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem drivers of freshwater mercury bioaccumulation are context-dependent: Insights from continental-scale modeling","docAbstract":"Significant variation in mercury (Hg) bioaccumulation is observed across the diversity of freshwater ecosystems in North America. While there is support for the major drivers of Hg bioaccumulation, the relative influence of different external factors can vary widely among waterbodies, which makes predicting Hg risk across large spatial scales particularly challenging. We modeled Hg bioaccumulation by coupling Hg concentrations in more than 21,000 dragonflies collected across the United States from 2008 to 2021 with a suite of chemical (e.g., dissolved organic carbon (DOC), pH, sulfate) and landscape (e.g., soil characteristics, land cover) variables representing external drivers of Hg methylation, transport, and uptake. Model predictions explained 85% of the variation in dragonfly Hg concentrations across the United States. Certain predictor variables were more important than others (e.g., DOC, pH, and percent wetland), and they varied among waterbodies. Variation in Hg bioaccumulation was explained by including habitat and ecosystem type in a hierarchical modeling framework, which confirms the context-dependency of external factors in explaining Hg bioaccumulation across disparate freshwater ecosystems. This continent-scale model provides valuable insights into the processes underlying landscape-scale patterns in Hg exposure risk and demonstrates that drivers of Hg methylation and bioaccumulation are habitat- and ecosystem-dependent.
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These features are the most definitive examples of wave ripples on another planet. The ripples occur in two stratigraphic intervals within the orbitally defined Layered Sulfate Unit: a thin but laterally extensive unit at the base of the Amapari member of the Mirador formation, and a sandstone lens within the Contigo member of the Mirador formation. In both locations, the ripples have an average wavelength of ~4.5 centimeters. Internal laminae and ripple morphology show an architecture common in wave-influenced environments where wind-generated surface gravity waves mobilize bottom sediment in oscillatory flows. Their presence suggests formation in a shallow-water (<2 meters) setting that was open to the atmosphere, which requires atmospheric conditions that allow stable surface water.
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