{"pageNumber":"97","pageRowStart":"2400","pageSize":"25","recordCount":165309,"records":[{"id":70262454,"text":"70262454 - 2025 - Tracing metal sources and groundwater flow paths in the Upper Animas River watershed using rare earth elements and stable isotopes","interactions":[],"lastModifiedDate":"2025-02-11T15:45:16.210494","indexId":"70262454","displayToPublicDate":"2025-01-16T10:25:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1758,"text":"Geochemistry: Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Tracing metal sources and groundwater flow paths in the Upper Animas River watershed using rare earth elements and stable isotopes","docAbstract":"<p><span>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.</span></p>","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":"<p><span>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.</span></p>","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. Lauderdale","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":489132,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2024.132195","text":"Publisher Index Page"},{"id":480739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.15272667125285,\n              26.85302740104224\n            ],\n            [\n              -81.52356680957865,\n              26.85302740104224\n            ],\n            [\n              -81.52356680957865,\n              25.136407133512265\n            ],\n            [\n              -80.15272667125285,\n              25.136407133512265\n            ],\n            [\n              -80.15272667125285,\n              26.85302740104224\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"652","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bassah, Raidan","contributorId":349546,"corporation":false,"usgs":false,"family":"Bassah","given":"Raidan","affiliations":[{"id":49677,"text":"IHE Delft Institute for Water Education","active":true,"usgs":false}],"preferred":false,"id":924376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corzo Perez, Gerald A.","contributorId":332614,"corporation":false,"usgs":false,"family":"Corzo Perez","given":"Gerald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":924377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bhattacharya, Biswa 0000-0002-8046-589X","orcid":"https://orcid.org/0000-0002-8046-589X","contributorId":298961,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"Biswa","email":"","affiliations":[{"id":49677,"text":"IHE Delft Institute for Water Education","active":true,"usgs":false}],"preferred":false,"id":924378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":206253,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":924379,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924380,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aumen, Nicholas 0000-0002-5277-2630","orcid":"https://orcid.org/0000-0002-5277-2630","contributorId":223550,"corporation":false,"usgs":true,"family":"Aumen","given":"Nicholas","affiliations":[{"id":269,"text":"FLWSC-Ft. 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":"<p><span>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 (</span><i>Ambystoma texanum</i><span>,&nbsp;</span><i>Clemmys guttata</i><span>,&nbsp;</span><i>Rana palustris</i><span>, and&nbsp;</span><i>Sternotherus odoratus</i><span>). We observed no difference in the number of species detected between point and transect samples (</span><i>p</i><span> = 0.70), but point sampling required less time (</span><i>p</i><span> = 0.03) and allowed significantly larger volumes of water to be filtered (</span><i>p</i><span> = 1.13e-5). No difference in species richness was observed between the 12S and 16S mitochondrial DNA markers (</span><i>p</i><span> = 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;&nbsp;</span><i>p</i><span> = 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.</span></p>","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":70267507,"text":"70267507 - 2025 - Accurate simulation of flow through dipping aquifers with MODFLOW 6 using enhanced cell connectivity","interactions":[],"lastModifiedDate":"2025-05-28T14:18:54.211849","indexId":"70267507","displayToPublicDate":"2025-01-16T09:15:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Accurate simulation of flow through dipping aquifers with MODFLOW 6 using enhanced cell connectivity","docAbstract":"<p><span>In simulations of groundwater flow through dipping aquifers, layers of model cells are often “deformed” to follow the top and bottom elevations of the aquifers. When this approach is used in MODFLOW, adjacent cells within the same model layer are vertically offset from one another, and the standard conductance-based (two-point) formulation for flow between cells does not rigorously account for these offsets. The XT3D multi-point flow formulation in MODFLOW 6 is designed to account for geometric irregularities in the grid, including vertical offsets, and to provide accurate results for both isotropic and anisotropic groundwater flow. A recent study evaluated the performance of the standard formulation and XT3D using a simple, synthetic benchmark model of a steeply dipping aquifer. Although XT3D generally improved the accuracy of flow simulations relative to the standard formulation as expected, neither formulation produced accurate flows in cases that involved large vertical offsets. In this paper, we explain that the inability of XT3D to produce accurate flows in the steeply dipping aquifer benchmark was not due to an inherent limitation of the flow formulation, but rather to the limited cell connectivity inherent in the most commonly used discretization packages in MODFLOW 6. Furthermore, we demonstrate that XT3D is able to produce the expected accuracy when adequate cell connectivity is introduced using MODFLOW's unstructured grid type and the aquifer is discretized vertically using at least two model layers.</span></p>","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13459","usgsCitation":"Provost, A.M., Bardot, K., Langevin, C.D., and McCallum, J., 2025, Accurate simulation of flow through dipping aquifers with MODFLOW 6 using enhanced cell connectivity: Groundwater, v. 63, no. 3, p. 399-408, https://doi.org/10.1111/gwat.13459.","productDescription":"10 p.","startPage":"399","endPage":"408","ipdsId":"IP-167149","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":488469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13459","text":"Publisher Index Page"},{"id":486638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Provost, Alden M. 0000-0002-4443-1107 aprovost@usgs.gov","orcid":"https://orcid.org/0000-0002-4443-1107","contributorId":2830,"corporation":false,"usgs":true,"family":"Provost","given":"Alden","email":"aprovost@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":938448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bardot, Kerry","contributorId":355958,"corporation":false,"usgs":false,"family":"Bardot","given":"Kerry","affiliations":[{"id":84875,"text":"School of Earth Sciences, Univ. of Western Australia","active":true,"usgs":false}],"preferred":false,"id":938449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":938450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCallum, James L.","contributorId":355959,"corporation":false,"usgs":false,"family":"McCallum","given":"James L.","affiliations":[{"id":84875,"text":"School of Earth Sciences, Univ. of Western Australia","active":true,"usgs":false}],"preferred":false,"id":938451,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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":"<p><span>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.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.132658","usgsCitation":"Riley, J.W., Pangle, L., Forster, M., and Aulenbach, B.T., 2025, Ecohydrological response of a forested headwater catchment to a flash drought in the Southeastern U.S.: Journal of Hydrology, v. 652, 132658, 12 p., https://doi.org/10.1016/j.jhydrol.2024.132658.","productDescription":"132658, 12 p.","ipdsId":"IP-150167","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":488037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2024.132658","text":"Publisher Index Page"},{"id":482969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Panola Mountain Research Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.18385537410896,\n              33.647487899040684\n            ],\n            [\n              -84.18385537410896,\n              33.62051112971396\n            ],\n            [\n              -84.13090752919243,\n              33.62051112971396\n            ],\n            [\n              -84.13090752919243,\n              33.647487899040684\n            ],\n            [\n              -84.18385537410896,\n              33.647487899040684\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"652","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Riley, Jeffrey W. 0000-0001-5525-3134 jriley@usgs.gov","orcid":"https://orcid.org/0000-0001-5525-3134","contributorId":3605,"corporation":false,"usgs":true,"family":"Riley","given":"Jeffrey","email":"jriley@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pangle, Luke A.","contributorId":351888,"corporation":false,"usgs":false,"family":"Pangle","given":"Luke A.","affiliations":[{"id":52554,"text":"Georgia State University","active":true,"usgs":false}],"preferred":false,"id":929714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forster, Michael","contributorId":351889,"corporation":false,"usgs":false,"family":"Forster","given":"Michael","affiliations":[{"id":84068,"text":"Edaphic Scientific Pty. and Griffith University","active":true,"usgs":false}],"preferred":false,"id":929715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aulenbach, Brent T. 0000-0003-2863-1288 btaulenb@usgs.gov","orcid":"https://orcid.org/0000-0003-2863-1288","contributorId":3057,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Brent","email":"btaulenb@usgs.gov","middleInitial":"T.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929716,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266052,"text":"70266052 - 2025 - Disease, environment, and pollution: Understanding drivers behind tumour outbreaks in sea turtles","interactions":[],"lastModifiedDate":"2026-01-05T16:28:14.803766","indexId":"70266052","displayToPublicDate":"2025-01-16T08:20:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18743,"text":"One Health Cases","active":true,"publicationSubtype":{"id":10}},"title":"Disease, environment, and pollution: Understanding drivers behind tumour outbreaks in sea turtles","docAbstract":"<p><span>Various wildlife diseases of the Anthropocene (the Anthropocene currently has no formal status in the Divisions of Geologic Time&nbsp;</span><a rel=\"noopener\" href=\"https://pubs.usgs.gov/fs/2018/3054/fs20183054.pdf\" target=\"_blank\" data-mce-href=\"../fs/2018/3054/fs20183054.pdf\">https://pubs.usgs.gov/fs/2018/3054/fs20183054.pdf</a><span>, accessed 4 June 2024) have root causes that are found in human-driven environmental disturbances. Fibropapillomatosis of sea turtles is exemplary of a human-exacerbated wildlife disease, and this case study offers an overview of how we applied a One Health approach and interdisciplinary process to better understand its complexity and highlight the interconnections existing between the health of the environment, and of the wildlife and humans living in it.</span></p><p><span>Persistent organic pollutants (POPs) have known detrimental effects on human and wildlife health. Ubiquitous in the environment, these degradation-resistant chemicals have a high bioaccumulation potential. This case study describes the interdisciplinary plan and One Health design implemented to measure the role of harmful pollutants in the occurrence of a marine turtle panzootic fibropapillomatosis (FP). FP is a neoplastic disease that causes the growth of debilitating tumours on soft tissues and internal organs. Disease incidence has been increasing significantly throughout the Anthropocene and the reasons are still uncertain. The pervasive effect of pollution in marine coastal habitats has often been hypothesized as a driver of high disease prevalence but never fully tested. Our project combines disease ecology, marine field biology, and chemical toxicology in the attempt to unravel the intricate dynamics behind FP. We here describe the complex process used to develop a methodology to measure levels of harmful seawater pollutants such as polychlorinated biphenyls (PCBs), polycyclic aromatic hydrocarbons (PAHs), and organochlorine pesticides (OCPs) in important sea turtle habitats in Florida. The proposed contaminants are among the top priority harmful pollutants, highly carcinogenic in aquatic animals, and bioaccumulate in sea turtles. Although only providing a description of the methodological process, this case study can help future research to apply similar transdisciplinary studies in the context of wildlife diseases. Understanding the effects of anthropogenic-driven pollution activity on ocean health can clarify its consequences to the health of wildlife and humans living in and around that environment.</span></p>","language":"English","publisher":"CABI Digital Library","doi":"10.1079/onehealthcases.2025.0001","usgsCitation":"Manes, C., Herren, R., Cooper, E., Lilyestrom, M., Godfrey, D., Kuzoch, M., Carthy, R.R., and Capua, I., 2025, Disease, environment, and pollution: Understanding drivers behind tumour outbreaks in sea turtles: One Health Cases, p. 307-322, https://doi.org/10.1079/onehealthcases.2025.0001.","productDescription":"16 p.","startPage":"307","endPage":"322","ipdsId":"IP-169216","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":484992,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Manes, Costanza","contributorId":340560,"corporation":false,"usgs":false,"family":"Manes","given":"Costanza","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":934453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herren, Richard M.","contributorId":340561,"corporation":false,"usgs":false,"family":"Herren","given":"Richard M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":934454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Evan","contributorId":353754,"corporation":false,"usgs":false,"family":"Cooper","given":"Evan","affiliations":[{"id":84497,"text":"The Sea Turtle Conservancy","active":true,"usgs":false}],"preferred":false,"id":934455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lilyestrom, Margaret","contributorId":353755,"corporation":false,"usgs":false,"family":"Lilyestrom","given":"Margaret","affiliations":[{"id":84497,"text":"The Sea Turtle Conservancy","active":true,"usgs":false}],"preferred":false,"id":934456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godfrey, David","contributorId":353756,"corporation":false,"usgs":false,"family":"Godfrey","given":"David","affiliations":[{"id":84497,"text":"The Sea Turtle Conservancy","active":true,"usgs":false}],"preferred":false,"id":934457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuzoch, Marianne","contributorId":353757,"corporation":false,"usgs":false,"family":"Kuzoch","given":"Marianne","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":934458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carthy, Raymond R. 0000-0001-8978-5083","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":223853,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934459,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Capua, Ilaria","contributorId":340573,"corporation":false,"usgs":false,"family":"Capua","given":"Ilaria","email":"","affiliations":[{"id":37540,"text":"John Hopkins University","active":true,"usgs":false}],"preferred":false,"id":934460,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70268885,"text":"70268885 - 2025 - Developing biocrust field cultivation techniques for soil restoration: An assessment of bacterial communities","interactions":[],"lastModifiedDate":"2025-07-09T14:47:37.976758","indexId":"70268885","displayToPublicDate":"2025-01-16T07:41:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":846,"text":"Applied Soil Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Developing biocrust field cultivation techniques for soil restoration: An assessment of bacterial communities","docAbstract":"<p><span>Biological soil crusts (biocrusts) are a coherent, thin soil surface layer, engineered and inhabited by a diverse community of moss, lichen, cyanobacteria, and other microorganisms. Biocrusts provide critical functions in dryland systems and may be lost from the ecosystem through physical disturbance or other global change drivers. Once biocrusts are lost, natural recovery can occur very slowly. This has led to the development of biocrust rehabilitation strategies, including cultivation of biocrust propagules to inoculate degraded sites. As the need for biocrust restoration grows in scale and across different regions, inoculum cultivation and application methods are being asked to keep up. In this work, we evaluate cyanobacterial community composition and abundance in greenhouse and field cultivation systems, with and without growth substrate and shade treatments. We also consider cultivation of locally and non-locally sourced biocrust inocula at a single cultivation facility on the Colorado Plateau. We found that field cultivation is a viable option for biocrust cultivation. For almost all cyanobacteria, habitat amelioration was necessary for growth in the field. Despite differences in inocula composition following cultivation, restoration outcomes five months after inoculation were poor with no significant increases in cyanobacterial abundance, soil chlorophyll&nbsp;</span><i>a</i><span>, or soil exopolysaccharide content. Thus, more work is needed to boost the initial growth and survival of biocrust inocula, regardless of the method of cultivation (i.e., greenhouse or field). Future work focused on assessing opportunities for habitat amelioration during application to improve biocrust establishment during this critical restoration phase would be highly valuable.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apsoil.2024.105861","usgsCitation":"Jech, S., Dohrenwend, K., Day, N., Barger, N.N., Antoninka, A., Bowker, M., Reed, S., and Tucker, C.L., 2025, Developing biocrust field cultivation techniques for soil restoration: An assessment of bacterial communities: Applied Soil Ecology, v. 206, 105861, 15 p., https://doi.org/10.1016/j.apsoil.2024.105861.","productDescription":"105861, 15 p.","ipdsId":"IP-172363","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":492079,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apsoil.2024.105861","text":"Publisher Index Page"},{"id":491894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","city":"Moab","otherGeospatial":"Arches National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.78049609601776,\n              38.85994609007196\n            ],\n            [\n              -109.78049609601776,\n              38.50202676003758\n            ],\n            [\n              -109.42271141433436,\n              38.50202676003758\n            ],\n            [\n              -109.42271141433436,\n              38.85994609007196\n            ],\n            [\n              -109.78049609601776,\n              38.85994609007196\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"206","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jech, Sierra D.","contributorId":357753,"corporation":false,"usgs":false,"family":"Jech","given":"Sierra D.","affiliations":[{"id":85551,"text":"Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO 80309, USA","active":true,"usgs":false}],"preferred":false,"id":942470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dohrenwend, Kara","contributorId":196497,"corporation":false,"usgs":false,"family":"Dohrenwend","given":"Kara","email":"","affiliations":[{"id":34606,"text":"Rim to Rim Restoration","active":true,"usgs":false}],"preferred":false,"id":942471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, Natalie","contributorId":357754,"corporation":false,"usgs":false,"family":"Day","given":"Natalie","affiliations":[{"id":85552,"text":"School of Forestry, Northern Arizona University, Flagstaff, AZ 86001, USA","active":true,"usgs":false}],"preferred":false,"id":942472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barger, Nichole N.","contributorId":193039,"corporation":false,"usgs":false,"family":"Barger","given":"Nichole","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":942473,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Antoninka, Anita","contributorId":166769,"corporation":false,"usgs":false,"family":"Antoninka","given":"Anita","affiliations":[{"id":24503,"text":"Northern Arizona University, School of Forestry, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":942474,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowker, Matthew A.","contributorId":240683,"corporation":false,"usgs":false,"family":"Bowker","given":"Matthew A.","affiliations":[],"preferred":false,"id":942475,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":942476,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tucker, Colin L","contributorId":270737,"corporation":false,"usgs":false,"family":"Tucker","given":"Colin","email":"","middleInitial":"L","affiliations":[{"id":56205,"text":"U.S. National Forest Service, Northern Research Station, Houghton, MI 49931","active":true,"usgs":false}],"preferred":false,"id":942477,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70262096,"text":"pp1894F - 2025 - Integrated water availability in the conterminous United States, 2010–20","interactions":[{"subject":{"id":70262096,"text":"pp1894F - 2025 - Integrated water availability in the conterminous United States, 2010–20","indexId":"pp1894F","publicationYear":"2025","noYear":false,"chapter":"F","displayTitle":"Integrated Water Availability in the Conterminous United States, 2010–20","title":"Integrated water availability in the conterminous United States, 2010–20"},"predicate":"IS_PART_OF","object":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"id":1}],"isPartOf":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"lastModifiedDate":"2025-07-10T15:46:09.741772","indexId":"pp1894F","displayToPublicDate":"2025-01-15T14:08:51","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1894","chapter":"F","displayTitle":"Integrated Water Availability in the Conterminous United States, 2010–20","title":"Integrated water availability in the conterminous United States, 2010–20","docAbstract":"<p>Water availability is defined as the spatial and temporal distribution of water quantity and quality as it relates to the needs of humans and ecosystems. 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. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1894F","programNote":"Water Availability and Use Science Program and National Water Quality Program","usgsCitation":"Stets, E.G., Cashman, M.J., Miller, O.L., and Powlen, K.A., 2025, Integrated water availability in the conterminous United States, 2010–20, chap. F <em>of</em> U.S. Geological Survey Integrated Water Availability Assessment—2010–20: U.S. Geological Survey Professional Paper 1894–F, 41 p., https://doi.org/10.3133/pp1894F.","productDescription":"viii, 41 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-157232","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":492031,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118297.htm","linkFileType":{"id":5,"text":"html"}},{"id":481933,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/pp1894F/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"PP 1894–F"},{"id":481805,"rank":4,"type":{"id":31,"text":"Publication 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Availability</li><li>Integrated Water Availability</li><li>Socioeconomic Limitations Affecting Water Availability</li><li>Future Water-Availability Considerations</li><li>Conclusions</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Methods Supporting the Integrated Water Availability Assessment</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-15","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"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":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":923065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cashman, Matthew J. 0000-0002-6635-4309","orcid":"https://orcid.org/0000-0002-6635-4309","contributorId":203315,"corporation":false,"usgs":true,"family":"Cashman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":923066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Olivia L. 0000-0002-8846-7048","orcid":"https://orcid.org/0000-0002-8846-7048","contributorId":216556,"corporation":false,"usgs":true,"family":"Miller","given":"Olivia","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powlen, Kathryn 0000-0002-9685-0063","orcid":"https://orcid.org/0000-0002-9685-0063","contributorId":328833,"corporation":false,"usgs":true,"family":"Powlen","given":"Kathryn","email":"","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923068,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262097,"text":"pp1894E - 2025 - Climate change and future water availability in the United States","interactions":[{"subject":{"id":70262097,"text":"pp1894E - 2025 - Climate change and future water availability in the United States","indexId":"pp1894E","publicationYear":"2025","noYear":false,"chapter":"E","displayTitle":"Climate Change and Future Water Availability in the United States","title":"Climate change and future water availability in the United States"},"predicate":"IS_PART_OF","object":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"id":1}],"isPartOf":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"lastModifiedDate":"2025-07-10T15:45:33.657941","indexId":"pp1894E","displayToPublicDate":"2025-01-15T14:07:49","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1894","chapter":"E","displayTitle":"Climate Change and Future Water Availability in the United States","title":"Climate change and future water availability in the United States","docAbstract":"<p>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.</p>","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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Virginia 20192</p><p><a data-mce-href=\"mailto:National_IWAAs%40usgs.gov?subject=\" href=\"mailto:National_IWAAs%40usgs.gov?subject=\">Contact Integrated Water Availability Assessment Team</a><br><br></p>","tableOfContents":"<ul><li>Preface</li><li>Abstract</li><li>Key Points</li><li>Introduction</li><li>Climate-Change Impacts on Water-Cycle Components</li><li>Complex Regional-Scale System Processes Affecting Water Availability</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Glossary</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-15","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":923069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":923070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olson, Carolyn G. 0000-0002-4198-6158","orcid":"https://orcid.org/0000-0002-4198-6158","contributorId":302954,"corporation":false,"usgs":true,"family":"Olson","given":"Carolyn","email":"","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":923071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powlen, Kathryn 0000-0002-9685-0063","orcid":"https://orcid.org/0000-0002-9685-0063","contributorId":328833,"corporation":false,"usgs":true,"family":"Powlen","given":"Kathryn","email":"","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923072,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262099,"text":"pp1894D - 2025 - Water use across the conterminous United States, water years 2010–20","interactions":[{"subject":{"id":70262099,"text":"pp1894D - 2025 - Water use across the conterminous United States, water years 2010–20","indexId":"pp1894D","publicationYear":"2025","noYear":false,"chapter":"D","displayTitle":"Water Use Across the Conterminous United States, Water Years 2010–20","title":"Water use across the conterminous United States, water years 2010–20"},"predicate":"IS_PART_OF","object":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"id":1}],"isPartOf":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"lastModifiedDate":"2025-11-18T17:37:33.623919","indexId":"pp1894D","displayToPublicDate":"2025-01-15T14:06:28","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1894","chapter":"D","displayTitle":"Water Use Across the Conterminous United States, Water Years 2010–20","title":"Water use across the conterminous United States, water years 2010–20","docAbstract":"<p>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.</p><p>An estimated 244,817 million gallons per day (Mgal/d; 28,677 million cubic meters per month [Mm<sup>3</sup>/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 Mm<sup>3</sup>/mo), respectively; (2) for crop irrigation were 105,497 and 75,698 Mgal/d (12,147 and 8,716 Mm<sup>3</sup>/mo), respectively; and (3) for thermoelectric power from fresh water were 82,656 and 2,904 Mgal/d (9,952 and 345 Mm<sup>3</sup>/mo), respectively.</p><p>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.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1894D","programNote":"Water Availability and Use Science Program and National Water Quality Program","usgsCitation":"Medalie, L., Galanter, A.E., Martinez, A.J., Archer, A.A., Luukkonen, C.L., Harris, M.A., and Haynes, J.V., 2025, Water use across the conterminous United States, water years 2010–20, chap. 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          -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/iwaas\" data-mce-href=\"https://www.usgs.gov/iwaas\">Integrated Water Availability Assessment</a><br>Water Resources Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, Virginia 20192</p><p><a href=\"mailto:National_IWAAs%40usgs.gov?subject=\" data-mce-href=\"mailto:National_IWAAs%40usgs.gov?subject=\">Contact Integrated Water Availability Assessment Team</a></p>","tableOfContents":"<ul><li>Preface</li><li>Abstract</li><li>Key Points</li><li>Introduction</li><li>Estimated Water Use by Category</li><li>Water Use Estimated Using Modeling Approaches</li><li>Other Water-Use Topics</li><li>Summary and Conclusions</li><li>Acknowledgments</li><li>References Cited</li><li>Glossary</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-15","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Medalie, Laura 0000-0002-2440-2149","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":258234,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galanter, Amy E. 0000-0002-2960-0136","orcid":"https://orcid.org/0000-0002-2960-0136","contributorId":205393,"corporation":false,"usgs":true,"family":"Galanter","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martinez, Anthony J. 0000-0002-4295-0261","orcid":"https://orcid.org/0000-0002-4295-0261","contributorId":343462,"corporation":false,"usgs":true,"family":"Martinez","given":"Anthony J.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":923083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Archer, Althea A. 0000-0003-1927-0783","orcid":"https://orcid.org/0000-0003-1927-0783","contributorId":302489,"corporation":false,"usgs":true,"family":"Archer","given":"Althea","email":"","middleInitial":"A.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":923084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luukkonen, Carol L. 0000-0001-7056-8599","orcid":"https://orcid.org/0000-0001-7056-8599","contributorId":208181,"corporation":false,"usgs":true,"family":"Luukkonen","given":"Carol","email":"","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923085,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harris, Melissa A. 0000-0003-2659-9763 mharris@usgs.gov","orcid":"https://orcid.org/0000-0003-2659-9763","contributorId":1903,"corporation":false,"usgs":true,"family":"Harris","given":"Melissa","email":"mharris@usgs.gov","middleInitial":"A.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923086,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haynes, Jonathan V. 0000-0001-6530-6252 jhaynes@usgs.gov","orcid":"https://orcid.org/0000-0001-6530-6252","contributorId":3113,"corporation":false,"usgs":true,"family":"Haynes","given":"Jonathan","email":"jhaynes@usgs.gov","middleInitial":"V.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923087,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70262131,"text":"pp1894C - 2025 - Status of water-quality conditions in the United States, 2010–20","interactions":[{"subject":{"id":70262131,"text":"pp1894C - 2025 - Status of water-quality conditions in the United States, 2010–20","indexId":"pp1894C","publicationYear":"2025","noYear":false,"chapter":"C","displayTitle":"Status of Water-Quality Conditions in the United States, 2010–20","title":"Status of water-quality conditions in the United States, 2010–20"},"predicate":"IS_PART_OF","object":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"id":1}],"isPartOf":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"lastModifiedDate":"2025-07-10T15:44:02.042147","indexId":"pp1894C","displayToPublicDate":"2025-01-15T14:04:43","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1894","chapter":"C","displayTitle":"Status of Water-Quality Conditions in the United States, 2010–20","title":"Status of water-quality conditions in the United States, 2010–20","docAbstract":"<p>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.</p><p>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.</p><p>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.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1894C","programNote":"Water Availability and Use Science Program and National Water Quality Program","usgsCitation":"Erickson, M.L., Miller, O.L., Cashman, M.J., Degnan, J.R., Reddy, J.E., Martinez, A.J., and Azadpour, E., 2025, Status of water-quality conditions in the United States, 2010–20 (ver. 1.1, February 2025), chap. 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   \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: January 15, 2025; Version 1.1: February 5, 2025","contact":"<p><a href=\"https://www.usgs.gov/iwaas\" data-mce-href=\"https://www.usgs.gov/iwaas\">Integrated Water Availability Assessment</a><br>Water Resources Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, Virginia 20192</p><p><a href=\"mailto:National_IWAAs%40usgs.gov?subject=\" data-mce-href=\"mailto:National_IWAAs%40usgs.gov?subject=\">Contact Integrated Water Availability Assessment Team</a></p>","tableOfContents":"<ul><li>Preface</li><li>Abstract</li><li>Key Points</li><li>Introduction</li><li>Quality of Surface-Water Resources</li><li>Quality of Groundwater Resources</li><li>Groundwater–Surface Water Interactions and Chemical Mixtures</li><li>Alternative Water Resources</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Information About Linked Interactive Maps</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-15","revisedDate":"2025-02-05","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Melinda L. 0000-0002-1117-2866 merickso@usgs.gov","orcid":"https://orcid.org/0000-0002-1117-2866","contributorId":3671,"corporation":false,"usgs":true,"family":"Erickson","given":"Melinda L.","email":"merickso@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Olivia L. 0000-0002-8846-7048","orcid":"https://orcid.org/0000-0002-8846-7048","contributorId":219231,"corporation":false,"usgs":true,"family":"Miller","given":"Olivia","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cashman, Matthew J. 0000-0002-6635-4309","orcid":"https://orcid.org/0000-0002-6635-4309","contributorId":203315,"corporation":false,"usgs":true,"family":"Cashman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":923217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Degnan, James R. 0000-0002-5665-9010","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":218796,"corporation":false,"usgs":true,"family":"Degnan","given":"James R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reddy, James E. 0000-0002-6998-7267 jreddy@usgs.gov","orcid":"https://orcid.org/0000-0002-6998-7267","contributorId":1080,"corporation":false,"usgs":true,"family":"Reddy","given":"James","email":"jreddy@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923219,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martinez, Anthony J. 0000-0002-4295-0261","orcid":"https://orcid.org/0000-0002-4295-0261","contributorId":343462,"corporation":false,"usgs":true,"family":"Martinez","given":"Anthony J.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":923220,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Azadpour, Elmera 0000-0002-4365-8326","orcid":"https://orcid.org/0000-0002-4365-8326","contributorId":332087,"corporation":false,"usgs":true,"family":"Azadpour","given":"Elmera","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":923221,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70262128,"text":"pp1894B - 2025 - Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20","interactions":[{"subject":{"id":70262128,"text":"pp1894B - 2025 - Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20","indexId":"pp1894B","publicationYear":"2025","noYear":false,"chapter":"B","displayTitle":"Water Supply in the Conterminous United States, Alaska, Hawaii, and Puerto Rico, Water Years 2010–20","title":"Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20"},"predicate":"IS_PART_OF","object":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"id":1}],"isPartOf":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"lastModifiedDate":"2026-01-26T19:04:04.062257","indexId":"pp1894B","displayToPublicDate":"2025-01-15T14:03:48","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1894","chapter":"B","displayTitle":"Water Supply in the Conterminous United States, Alaska, Hawaii, and Puerto Rico, Water Years 2010–20","title":"Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20","docAbstract":"<p>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.</p>","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. 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of Water-Storage Components and Fluxes</li><li>Synthesis and Discussion of Water Budgets</li><li>Uncertainty of Simulated Results</li><li>Summary</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. Comparison of Individual Hydrologic Budget Components to External Datasets</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-15","revisedDate":"2025-07-30","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Gorski, Galen 0000-0003-0083-4251","orcid":"https://orcid.org/0000-0003-0083-4251","contributorId":329714,"corporation":false,"usgs":true,"family":"Gorski","given":"Galen","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":923202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":923203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":923204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Degnan, James R. 0000-0002-5665-9010","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":218796,"corporation":false,"usgs":true,"family":"Degnan","given":"James R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923205,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mullaney, John R. 0000-0003-4936-5046","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":203254,"corporation":false,"usgs":true,"family":"Mullaney","given":"John R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923206,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Galanter, Amy E. 0000-0002-2960-0136","orcid":"https://orcid.org/0000-0002-2960-0136","contributorId":205393,"corporation":false,"usgs":true,"family":"Galanter","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923207,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Martinez, Anthony J. 0000-0002-4295-0261","orcid":"https://orcid.org/0000-0002-4295-0261","contributorId":343462,"corporation":false,"usgs":true,"family":"Martinez","given":"Anthony J.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":923208,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Padilla, Julie 0000-0002-3366-2938","orcid":"https://orcid.org/0000-0002-3366-2938","contributorId":343464,"corporation":false,"usgs":false,"family":"Padilla","given":"Julie","affiliations":[{"id":79206,"text":"Washington Department of Ecology","active":true,"usgs":false}],"preferred":false,"id":923209,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923210,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Corson-Dosch, Hayley R. 0000-0001-8695-1584","orcid":"https://orcid.org/0000-0001-8695-1584","contributorId":244707,"corporation":false,"usgs":true,"family":"Corson-Dosch","given":"Hayley","middleInitial":"R.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":923211,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shapiro, Allen 0000-0002-6425-9607","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":348204,"corporation":false,"usgs":false,"family":"Shapiro","given":"Allen","affiliations":[{"id":83323,"text":"The Catholic University of America","active":true,"usgs":false}],"preferred":false,"id":923212,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70262100,"text":"pp1894A - 2025 - The National integrated water availability assessment, water years 2010–20","interactions":[{"subject":{"id":70262100,"text":"pp1894A - 2025 - The National integrated water availability assessment, water years 2010–20","indexId":"pp1894A","publicationYear":"2025","noYear":false,"chapter":"A","displayTitle":"The National Integrated Water Availability Assessment, Water Years 2010–20","title":"The National integrated water availability assessment, water years 2010–20"},"predicate":"IS_PART_OF","object":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"id":1}],"isPartOf":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"lastModifiedDate":"2025-07-10T15:41:40.611066","indexId":"pp1894A","displayToPublicDate":"2025-01-15T14:02:27","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1894","chapter":"A","displayTitle":"The National Integrated Water Availability Assessment, Water Years 2010–20","title":"The National integrated water availability assessment, water years 2010–20","docAbstract":"<p>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.</p>","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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          ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/iwaas\" data-mce-href=\"https://www.usgs.gov/iwaas\">Integrated Water Availability Assessment</a><br>Water Resources Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, Virginia 20192</p><p><a href=\"mailto:National_IWAAs%40usgs.gov?subject=\" data-mce-href=\"mailto:National_IWAAs%40usgs.gov?subject=\">Contact Integrated Water Availability Assessment Team</a></p>","tableOfContents":"<ul><li>Preface</li><li>Abstract</li><li>Development of a National Water Availability Assessment</li><li>Regional Studies in Support of Integrated Water Availability Assessments at the National Scale</li><li>Organization of the Assessment Report</li><li>Spatial Resolution of Water Availability Analyses</li><li>Key Findings for the Status of Water Availability in the United States, Water Years 2010–20</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-15","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"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":923088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archer, Althea A. 0000-0003-1927-0783","orcid":"https://orcid.org/0000-0003-1927-0783","contributorId":302489,"corporation":false,"usgs":true,"family":"Archer","given":"Althea","email":"","middleInitial":"A.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":923089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Degnan, James R. 0000-0002-5665-9010","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":218796,"corporation":false,"usgs":true,"family":"Degnan","given":"James R.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923090,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erickson, Melinda L. 0000-0002-1117-2866 merickso@usgs.gov","orcid":"https://orcid.org/0000-0002-1117-2866","contributorId":3671,"corporation":false,"usgs":true,"family":"Erickson","given":"Melinda L.","email":"merickso@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923091,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gorski, Galen 0000-0003-0083-4251","orcid":"https://orcid.org/0000-0003-0083-4251","contributorId":329714,"corporation":false,"usgs":true,"family":"Gorski","given":"Galen","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":923092,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Medalie, Laura 0000-0002-2440-2149","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":258234,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923093,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":923094,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","interactions":[{"subject":{"id":70262096,"text":"pp1894F - 2025 - Integrated water availability in the conterminous United States, 2010–20","indexId":"pp1894F","publicationYear":"2025","noYear":false,"chapter":"F","displayTitle":"Integrated Water Availability in the Conterminous United States, 2010–20","title":"Integrated water availability in the conterminous United States, 2010–20"},"predicate":"IS_PART_OF","object":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"id":1},{"subject":{"id":70262097,"text":"pp1894E - 2025 - Climate change and future water availability in the United States","indexId":"pp1894E","publicationYear":"2025","noYear":false,"chapter":"E","displayTitle":"Climate Change and Future Water Availability in the United States","title":"Climate change and future water availability in the United States"},"predicate":"IS_PART_OF","object":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"id":2},{"subject":{"id":70262099,"text":"pp1894D - 2025 - Water use across the conterminous United States, water years 2010–20","indexId":"pp1894D","publicationYear":"2025","noYear":false,"chapter":"D","displayTitle":"Water Use Across the Conterminous United States, Water Years 2010–20","title":"Water use across the conterminous United States, water years 2010–20"},"predicate":"IS_PART_OF","object":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"id":3},{"subject":{"id":70262100,"text":"pp1894A - 2025 - The National integrated water availability assessment, water years 2010–20","indexId":"pp1894A","publicationYear":"2025","noYear":false,"chapter":"A","displayTitle":"The National Integrated Water Availability Assessment, Water Years 2010–20","title":"The National integrated water availability assessment, water years 2010–20"},"predicate":"IS_PART_OF","object":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"id":4},{"subject":{"id":70262128,"text":"pp1894B - 2025 - Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20","indexId":"pp1894B","publicationYear":"2025","noYear":false,"chapter":"B","displayTitle":"Water Supply in the Conterminous United States, Alaska, Hawaii, and Puerto Rico, Water Years 2010–20","title":"Water supply in the conterminous United States, Alaska, Hawaii, and Puerto Rico, water years 2010–20"},"predicate":"IS_PART_OF","object":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"id":5},{"subject":{"id":70262131,"text":"pp1894C - 2025 - Status of water-quality conditions in the United States, 2010–20","indexId":"pp1894C","publicationYear":"2025","noYear":false,"chapter":"C","displayTitle":"Status of Water-Quality Conditions in the United States, 2010–20","title":"Status of water-quality conditions in the United States, 2010–20"},"predicate":"IS_PART_OF","object":{"id":70262098,"text":"pp1894 - 2025 - U.S. Geological Survey Integrated Water Availability Assessment—2010–20","indexId":"pp1894","publicationYear":"2025","noYear":false,"title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20"},"id":6}],"lastModifiedDate":"2025-01-16T19:28:27.3728","indexId":"pp1894","displayToPublicDate":"2025-01-15T14:01:01","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1894","displayTitle":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20","title":"U.S. Geological Survey Integrated Water Availability Assessment—2010–20","docAbstract":"<p><span data-olk-copy-source=\"MessageBody\">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.</span></p>","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":"<p><a href=\"https://www.usgs.gov/iwaas\" data-mce-href=\"https://www.usgs.gov/iwaas\">Integrated Water Availability Assessment</a><br>Water Resources Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, Virginia 20192</p><p><a href=\"mailto:National_IWAAs%40usgs.gov?subject=\" data-mce-href=\"mailto:National_IWAAs%40usgs.gov?subject=\">Contact Integrated Water Availability Assessment Team</a></p>","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":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":923073,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}}
,{"id":70262132,"text":"sim3508 - 2025 - Surficial geology and Quaternary tectonics of the Madison Valley and fault zone, Madison, Gallatin, and Beaverhead Counties, southwest Montana","interactions":[],"lastModifiedDate":"2025-07-10T15:40:13.582709","indexId":"sim3508","displayToPublicDate":"2025-01-15T12:20:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3508","displayTitle":"Surficial Geologic Map and Quaternary Tectonics of the Madison Valley and Fault Zone, Madison, Gallatin, and Beaverhead Counties, Southwest Montana","title":"Surficial geology and Quaternary tectonics of the Madison Valley and fault zone, Madison, Gallatin, and Beaverhead Counties, southwest Montana","docAbstract":"<p>The north-northwest-striking Madison fault is approximately 95 kilometers in length, lying at the confluence of the northeastern Basin and Range province and the Yellowstone tectonic parabola. The fault zone consists primarily of west-dipping normal faults that have east-dipping antithetic faults, which create the Madison Valley graben and several northeast-trending intrabasin faults. The Madison fault and associated sections discussed herein refer to the main west-dipping, range-bounding fault along the eastern side of the valley. Detailed geologic mapping (1:12,000 scale) of the entire fault zone and fault scarp profiling (total of 102 profiles) of the Madison fault reveal greater late Quaternary paleoseismic activity towards the south, including at least three paleoevents along the southern part of the fault that postdate Pinedale glaciation. Early to middle Holocene alluvial fans have vertical surface offsets that average between 2.0 and 3.0 meters and define the characteristic single-event surface offset. Pinedale lateral moraines have vertical surface offsets as great as 12.0 meters. Late Pleistocene to Holocene multiple-event fault scarps show little evidence of beveling, suggesting short seismic recurrence intervals and potential late Pleistocene and Holocene temporal clustering. Long-term average tectonic activity rates indicate slip rates ranging from 0.18–0.6 millimeters per year. Based on a comparison of fault-scarp height versus maximum slope angle of known regression lines developed from other paleoseismic investigations, the most recent event ranges from 5–1 ka.</p><p>The northern section of the fault zone is defined by multiple normal faults, which detached the hanging walls of Laramide thrust faults within the Paleozoic and Mesozoic strata. This resulted in the partitioning of extension along multiple preexisting structures and less displacement along individual normal fault strands. Structural controls on lateral propagation of individual paleoevents involve the position of lateral ramps along preexisting Laramide contractional faults. This resulted in greater displacement within the larger basement-cored structures along the southern section of the fault zone, where extension is accommodated by one inferred principal basement-involved normal fault. Inferred east-northeast trending, intrabasin, normal faults within the southern half of the fault zone have no late Pleistocene displacement.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sim3508","programNote":"National Cooperative Geologic Mapping Program","usgsCitation":"Ruleman, C.A., and Brandt, T.R., 2025, Surficial geology and Quaternary tectonics of the Madison Valley and fault zone, Madison, Gallatin, and Beaverhead Counties, southwest Montana: U.S. Geological Survey Scientific Investigations Map 3508, 1 sheet, scale 1:50,000, 45-p. pamphlet, https://doi.org/10.3133/sim3508.","productDescription":"Report: viii, 43 p.; 2 Sheets: 31.40 x 70.84 inches ; Data Release","onlineOnly":"Y","ipdsId":"IP-041748","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":492022,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118303.htm","linkFileType":{"id":5,"text":"html"}},{"id":466446,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sim/3508/sim3508.xml"},{"id":466445,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3508/images"},{"id":466343,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EENEI7","text":"USGS data release","linkHelpText":"Data Release for Surficial Geology and Quaternary Tectonics of the Madison Valley and Fault Zone, Madison, Gallatin, and Beaverhead Counties, southwest Montana"},{"id":466325,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3508/coverthb.jpg"},{"id":466326,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3508/sim3508_pamphlet.pdf","text":"Pamphlet","size":"78.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3508 pamphlet"},{"id":466341,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3508/sim3508_sheet1.pdf","text":"Sheet 1—Geologic map","size":"45.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3508 sheet 1"},{"id":466342,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3508/sim3508_sheet1_geospatial.pdf","text":"Sheet 1— Georeferenced geologic map","size":"46.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3508 sheet 1 geospatial"}],"country":"United States","state":"Idaho, Montana, Wyoming","county":"Beaverhead County, Gallatin County, Madison County","otherGeospatial":"Madison Valley and fault zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112,\n              45.75\n            ],\n            [\n              -112,\n              43.25\n            ],\n            [\n              -110,\n              43.25\n            ],\n            [\n              -110,\n              45.75\n            ],\n            [\n              -112,\n              45.75\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/geosciences-and-environmental-change-science-center/science/\" data-mce-href=\"https://www.usgs.gov/centers/geosciences-and-environmental-change-science-center/science/\">Geosciences and Environmental Change Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-980<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Geologic Setting</li><li>Quaternary Deposits and Depositional History</li><li>Morphometric Analyses</li><li>Seismic Hazard Assessment</li><li>Description of Map Units</li><li>References Cited</li><li>Appendix 1. Fault Scarp Profiles</li><li>Appendix 2. V<sub>f</sub> Values</li><li>Appendix 3. Basal Facet Heights</li></ul>","publishedDate":"2025-01-15","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruleman, Chester A. 0000-0002-1503-4591 cruleman@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-4591","contributorId":1264,"corporation":false,"usgs":true,"family":"Ruleman","given":"Chester","email":"cruleman@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":923222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Theodore R. 0000-0002-7862-9082 tbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-7862-9082","contributorId":1267,"corporation":false,"usgs":true,"family":"Brandt","given":"Theodore","email":"tbrandt@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":923224,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"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":"<p><span>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&nbsp;</span><i>Fisheries Research</i><span>. 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.</span></p>","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":"<p><span>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.</span></p>","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. 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,{"id":70266165,"text":"70266165 - 2025 - Emotions and political identity predict public acceptance of urban deer management","interactions":[],"lastModifiedDate":"2025-04-29T15:10:33.570193","indexId":"70266165","displayToPublicDate":"2025-01-15T09:45:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3669,"text":"Urban Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Emotions and political identity predict public acceptance of urban deer management","docAbstract":"<p><span>Addressing public preferences can enhance wildlife management effectiveness and reduce backlash. We conducted novel research on public acceptance of wildlife management by accounting for the role of underexplored drivers including emotion and political identity across an urban-to-rural gradient. Using data from a 2022 survey about white-tailed deer (</span><i>Odocoileus virginianus</i><span>) in Durham County, North Carolina, we analyzed drivers of acceptance for three management strategies: passive management, lethal management by hunting, and lethal management by professionals. Support for deer management varied across the urban-to-rural gradient, as rural residents favored hunting but were less supportive of passive management compared to urban and suburban residents. Emotions and general attitudes toward deer were the strongest predictors of management acceptance. Support for passive management was higher among residents with more positive emotions toward deer, whereas support for lethal strategies was higher among those with more negative emotions. Additionally, political identity emerged as a complex yet influential factor in shaping support for lethal management. Conservative respondents exhibited a higher acceptance of hunting, whereas liberal respondents exhibited a higher acceptance of professional sharpshooting. Collectively, our results demonstrate the ways in which emotions, politics, and other socio-demographic factors interact to influence public support for deer management across the urban–rural gradient. When direct experience with wildlife is lacking (e.g., in urban areas), emotions may act as heuristic guides that shape preferences. Managers aiming to increase deer management acceptability could integrate insights about emotional, political, and demographic drivers of public management support in communication efforts, potentially rendering urban deer management more effective.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11252-024-01667-2","usgsCitation":"Desrochers, H., Peterson, M., Larson, L., Moorman, C.E., Kierepka, E., Kilgo, J.C., and Hostetter, N.J., 2025, Emotions and political identity predict public acceptance of urban deer management: Urban Ecosystems, v. 28, 15, 16 p., https://doi.org/10.1007/s11252-024-01667-2.","productDescription":"15, 16 p.","ipdsId":"IP-169143","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487840,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11252-024-01667-2","text":"Publisher Index Page"},{"id":485137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","county":"Durham County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-78.8019,36.2361],[-78.8059,36.0928],[-78.8059,36.0878],[-78.7986,36.085],[-78.7957,36.0858],[-78.7923,36.0854],[-78.7919,36.0772],[-78.7879,36.0758],[-78.7852,36.0703],[-78.7749,36.0707],[-78.7498,36.0718],[-78.7564,36.0532],[-78.7519,36.0491],[-78.7503,36.0468],[-78.7492,36.0427],[-78.747,36.0395],[-78.7499,36.035],[-78.7511,36.0323],[-78.7545,36.0301],[-78.7551,36.0283],[-78.75,36.026],[-78.7422,36.0209],[-78.7353,36.0199],[-78.7324,36.0267],[-78.7278,36.0289],[-78.7272,36.0334],[-78.726,36.0343],[-78.7232,36.0334],[-78.7164,36.0283],[-78.713,36.0278],[-78.7102,36.0287],[-78.7085,36.0287],[-78.7052,36.0223],[-78.7076,36.0132],[-78.7077,36.0087],[-78.7048,36.0091],[-78.6985,36.0131],[-78.7009,36.0068],[-78.714,35.9729],[-78.7372,35.941],[-78.751,35.9307],[-78.7609,35.9176],[-78.8056,35.9281],[-78.8298,35.8689],[-78.89,35.8676],[-78.9076,35.8678],[-78.9144,35.8674],[-78.9332,35.8667],[-78.9587,35.866],[-78.986,35.8644],[-78.9985,35.8641],[-79.011,35.8633],[-79.0161,35.8633],[-79.0142,35.8755],[-79.0124,35.886],[-78.9507,36.2393],[-78.8019,36.2361]]]},\"properties\":{\"name\":\"Durham\",\"state\":\"NC\"}}]}","volume":"28","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Desrochers, Hannah M.","contributorId":353930,"corporation":false,"usgs":false,"family":"Desrochers","given":"Hannah M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":934773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, M. Nils","contributorId":353931,"corporation":false,"usgs":false,"family":"Peterson","given":"M. Nils","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":934774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, Lincoln R.","contributorId":353934,"corporation":false,"usgs":false,"family":"Larson","given":"Lincoln R.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":934775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moorman, Christopher E.","contributorId":140839,"corporation":false,"usgs":false,"family":"Moorman","given":"Christopher","email":"","middleInitial":"E.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":934776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kierepka, Elizabeth M.","contributorId":353937,"corporation":false,"usgs":false,"family":"Kierepka","given":"Elizabeth M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":934777,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kilgo, John C.","contributorId":221258,"corporation":false,"usgs":false,"family":"Kilgo","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":25513,"text":"USDA Forest Service Southern Research Station","active":true,"usgs":false}],"preferred":false,"id":934778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hostetter, Nathan J. 0000-0001-6075-2157 nhostetter@usgs.gov","orcid":"https://orcid.org/0000-0001-6075-2157","contributorId":198843,"corporation":false,"usgs":true,"family":"Hostetter","given":"Nathan","email":"nhostetter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":934779,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"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":"<p><span>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.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c07280","usgsCitation":"Kotalik, C.J., Willacker, J., Wesner, J., Johnson, B.L., Flanagan Pritz, C., Nelson, S.J., Walters, D.M., and Eagles-Smith, C., 2025, Ecosystem drivers of freshwater mercury bioaccumulation are context-dependent: Insights from continental-scale modeling: Environmental Science and Technology, v. 59, no. 3, 10 p., https://doi.org/10.1021/acs.est.4c07280.","productDescription":"10 p.","ipdsId":"IP-168513","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science 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,{"id":70263953,"text":"70263953 - 2025 - Wave ripples formed in ancient, ice-free lakes in Gale crater, Mars","interactions":[],"lastModifiedDate":"2025-03-03T15:29:17.487412","indexId":"70263953","displayToPublicDate":"2025-01-15T09:25:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Wave ripples formed in ancient, ice-free lakes in Gale crater, Mars","docAbstract":"<p><span>Symmetrical wave ripples identified with NASA’s Curiosity rover in ancient lake deposits at Gale crater provide a key paleoclimate constraint for early Mars: At the time of ripple formation, climate conditions must have supported ice-free liquid water on the surface of Mars. 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 (&lt;2 meters) setting that was open to the atmosphere, which requires atmospheric conditions that allow stable surface water.</span></p>","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.adr0010","usgsCitation":"Mondro, C., Fedo, C., Grotzinger, J., Lamb, M.P., Gupta, S., Dietrich, W., Banham, S.G., Weitz, C., Gasda, P., Edgar, L.A., Rubin, D., Bryk, A., Kite, E., Caravaca, G., Schieber, J., and Vasavada, A., 2025, Wave ripples formed in ancient, ice-free lakes in Gale crater, Mars: Science Advances, v. 11, no. 3, eadr0010, 9 p., https://doi.org/10.1126/sciadv.adr0010.","productDescription":"eadr0010, 9 p.","ipdsId":"IP-167070","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487146,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adr0010","text":"Publisher Index Page"},{"id":482738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"11","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mondro, C.A.","contributorId":351708,"corporation":false,"usgs":false,"family":"Mondro","given":"C.A.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":929323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fedo, C.M.","contributorId":351709,"corporation":false,"usgs":false,"family":"Fedo","given":"C.M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":929324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grotzinger, J.P.","contributorId":181930,"corporation":false,"usgs":false,"family":"Grotzinger","given":"J.P.","affiliations":[],"preferred":false,"id":929325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamb, Michael P.","contributorId":214027,"corporation":false,"usgs":false,"family":"Lamb","given":"Michael","email":"","middleInitial":"P.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":929326,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gupta, S.","contributorId":177658,"corporation":false,"usgs":false,"family":"Gupta","given":"S.","email":"","affiliations":[],"preferred":false,"id":929327,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dietrich, W.E.","contributorId":351711,"corporation":false,"usgs":false,"family":"Dietrich","given":"W.E.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":929328,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Banham, S. G.","contributorId":172658,"corporation":false,"usgs":false,"family":"Banham","given":"S.","email":"","middleInitial":"G.","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":929329,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weitz, C.M.","contributorId":351712,"corporation":false,"usgs":false,"family":"Weitz","given":"C.M.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":929330,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gasda, P.","contributorId":351713,"corporation":false,"usgs":false,"family":"Gasda","given":"P.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":929331,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":929332,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rubin, D.","contributorId":177663,"corporation":false,"usgs":false,"family":"Rubin","given":"D.","affiliations":[],"preferred":false,"id":929333,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bryk, A.B.","contributorId":351718,"corporation":false,"usgs":false,"family":"Bryk","given":"A.B.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":929334,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kite, E.S.","contributorId":351720,"corporation":false,"usgs":false,"family":"Kite","given":"E.S.","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":929335,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Caravaca, G.","contributorId":290214,"corporation":false,"usgs":false,"family":"Caravaca","given":"G.","affiliations":[],"preferred":false,"id":929336,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Schieber, J.","contributorId":351724,"corporation":false,"usgs":false,"family":"Schieber","given":"J.","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":929337,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Vasavada, A.R.","contributorId":351725,"corporation":false,"usgs":false,"family":"Vasavada","given":"A.R.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":929338,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70262915,"text":"70262915 - 2025 - Hybrid coral reef restoration can be a cost-effective nature-based solution to provide protection to vulnerable coastal populations","interactions":[],"lastModifiedDate":"2025-01-28T15:15:43.620927","indexId":"70262915","displayToPublicDate":"2025-01-15T08:09:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Hybrid coral reef restoration can be a cost-effective nature-based solution to provide protection to vulnerable coastal populations","docAbstract":"<p><span>Coral reefs can mitigate flood damages by providing protection to tropical coastal communities whose populations are dense, growing fast, and have predominantly lower-middle income. This study provides the first fine-scale, regionally modeled valuations of how flood risk reductions associated with hybrid coral reef restoration could benefit people, property, and economic activity along Florida and Puerto Rico’s 1005 kilometers of reef-lined coasts. Restoration of up to 20% of the regions’ coral reefs could provide flood reduction benefits greater than costs. Reef habitats with the greatest benefits are shallow, nearshore, and fronting low-lying, vulnerable communities, which are often where reef impacts and loss are the greatest. Minorities, children, the elderly, and those below the poverty line could receive more than double the hazard risk reduction benefits of the overall population, demonstrating that reef restoration as a nature-based solution can have positive returns on investment economically and socially by providing protection to the most vulnerable people.</span></p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adn4004","usgsCitation":"Storlazzi, C.D., Reguero, B., Alkins, K.C., Shope, J.B., Cole, A., Gaido-Lassarre, C., Viehman, S., and Beck, M.W., 2025, Hybrid coral reef restoration can be a cost-effective nature-based solution to provide protection to vulnerable coastal populations: Science Advances, v. 11, no. 3, eadn4004, 14 p., https://doi.org/10.1126/sciadv.adn4004.","productDescription":"eadn4004, 14 p.","ipdsId":"IP-151030","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science 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,{"id":70264662,"text":"70264662 - 2025 - A Colorado Front Range grassland exhibits decreasing dominance of cheatgrass (Bromus tectorum) over time","interactions":[],"lastModifiedDate":"2025-03-19T15:06:38.608284","indexId":"70264662","displayToPublicDate":"2025-01-15T07:59:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"A Colorado Front Range grassland exhibits decreasing dominance of cheatgrass (Bromus tectorum) over time","docAbstract":"<p><span>Causes, consequences, and potentials for recovery from invasions by the invasive annual grass, cheatgrass (</span><i>Bromus tectorum</i><span>), in western North America have been extensively documented. The vast majority of these studies have come from regions where yearly precipitation is dominated by “winter-wet” patterns, but this species has also demonstrated its ability to invade plant communities in “spring/summer-wet” areas as well. In grasslands of the Front Range of Colorado, a region experiencing a “spring/summer-wet” precipitation pattern, cheatgrass can exploit early-season soil moisture, but moderate rainfall continues into the growing season beyond the time of cheatgrass senescence. In this study, we measured how cheatgrass dominance changed over a 13-year interval in a disturbed meadow along the Front Range of Colorado with a “spring/summer-wet” precipitation pattern. Cheatgrass cover declined in absolute abundance by about 50% while total vegetation cover increased over this time period. The site was neither grazed nor burned during this interval. A “spring/summer-wet” precipitation pattern with high interannual variation in amounts occurred during the study, but no relationships between the seasonality or amounts of precipitation and the directional decline in cheatgrass abundance were observed. Rainout shelter manipulations showed that the seasonality of precipitation influenced cheatgrass abundance, with winter drought treatments reducing cheatgrass cover relative to plots that experienced summer drought treatments. The cheatgrass decline corresponded with a lesser decline in native grass cover and no change in native forb cover, while the abundance of non-native perennial grasses and forb species increased over the study interval. Although cheatgrass can invade communities across broad climatic gradients following disturbance, results from this study show that the persistence of cheatgrass within invaded areas may depend on the seasonality of precipitation and plant communities that vary across these gradients.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70154","usgsCitation":"Prevey, J.S., and Seastedt, T., 2025, A Colorado Front Range grassland exhibits decreasing dominance of cheatgrass (Bromus tectorum) over time: Ecosphere, v. 16, no. 1, e70154, 15 p., https://doi.org/10.1002/ecs2.70154.","productDescription":"e70154, 15 p.","ipdsId":"IP-165941","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":488339,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70154","text":"Publisher Index Page"},{"id":483524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Boulder","otherGeospatial":"foothills north of Boulder","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.59529184734308,\n              40.283537448541296\n            ],\n            [\n              -105.59529184734308,\n              40.04839334476242\n            ],\n            [\n              -105.11113649546341,\n              40.04839334476242\n            ],\n            [\n              -105.11113649546341,\n              40.283537448541296\n            ],\n            [\n              -105.59529184734308,\n              40.283537448541296\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Prevey, Janet S. 0000-0003-2879-6453","orcid":"https://orcid.org/0000-0003-2879-6453","contributorId":222702,"corporation":false,"usgs":true,"family":"Prevey","given":"Janet","email":"","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":931158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seastedt, Timothy R.","contributorId":347353,"corporation":false,"usgs":false,"family":"Seastedt","given":"Timothy R.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":931159,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70262144,"text":"70262144 - 2025 - Local perceptions of marine conservation aquaculture for the restoration of native Atlantic salmon (Salmo salar) in Downeast, Maine","interactions":[],"lastModifiedDate":"2025-01-15T15:03:26.613692","indexId":"70262144","displayToPublicDate":"2025-01-15T07:57:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5220,"text":"Marine Policy","active":true,"publicationSubtype":{"id":10}},"title":"Local perceptions of marine conservation aquaculture for the restoration of native Atlantic salmon (Salmo salar) in Downeast, Maine","docAbstract":"<p><span>The entities responsible for the management of the endangered Gulf of Maine Distinct Population Segment of Atlantic salmon (</span><i>Salmo salar</i><span>) have partnered with a commercial aquaculture company to apply a novel conservation aquaculture program. This effort marks a major shift in management and has garnered mixed public reactions. Recent expansion of aquaculture in Maine has been a point of controversy as people and systems grapple with the social, environmental, and legal aspects of this burgeoning industry. Still, the use of aquaculture for conservation has shown some promise. In 2021, a questionnaire was administered to 850 households (response rate 27 %) in Maine via the Drop-off and Pick-up method. We examined differences and similarities in attitudes, beliefs, and knowledge about Atlantic salmon, hatcheries, and aquaculture between property owners in the town where the proposed net pens would be located (Cutler; n=73), and those in neighboring towns (n=152). The Potential for Conflict Index (PCI</span><sub>2</sub><span>) was used to examine differences between the groups. Both groups held similar positive attitudes toward Atlantic salmon, endangered species conservation, freshwater hatcheries, and both commercial and conservation aquaculture. Both groups believe that “</span><i>Atlantic salmon should be protected,</i><span>” and that freshwater hatcheries and marine conservation aquaculture “</span><i>should be used for conservation.</i><span>” However, Cutler residents had less consensus and supported the use of freshwater hatcheries and marine conservation aquaculture less than other respondents. Community concerns have stalled efforts to move the project forward. Our research indicates there are several social concepts which may help to explain localized opposition to the project.</span></p>","language":"English","publisherLocation":"Elsevier","doi":"10.1016/j.marpol.2024.106424","usgsCitation":"Flye, M.E., Sponarski, C.C., and Zydlewski, J.D., 2025, Local perceptions of marine conservation aquaculture for the restoration of native Atlantic salmon (Salmo salar) in Downeast, Maine: Marine Policy, v. 171, 106424, 12 p., https://doi.org/10.1016/j.marpol.2024.106424.","productDescription":"106424, 12 p.","ipdsId":"IP-160758","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Downeast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -68.95156620582028,\n              44.47634943744956\n            ],\n            [\n              -68.94523426479098,\n              44.047386254987686\n            ],\n            [\n              -66.71749417091152,\n              44.5096594532441\n            ],\n            [\n              -67.29857309212372,\n              44.96492023633945\n            ],\n            [\n              -68.7753892012487,\n              44.658880671008006\n            ],\n            [\n              -68.95156620582028,\n              44.47634943744956\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"171","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Flye, Melissa. E.","contributorId":275664,"corporation":false,"usgs":false,"family":"Flye","given":"Melissa.","email":"","middleInitial":"E.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sponarski, Carly C.","contributorId":275759,"corporation":false,"usgs":false,"family":"Sponarski","given":"Carly","email":"","middleInitial":"C.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":923261,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262127,"text":"cir1549 - 2025 - An interagency perspective on improving consistency and transparency of land use and land cover mapping","interactions":[],"lastModifiedDate":"2025-07-10T15:37:39.24579","indexId":"cir1549","displayToPublicDate":"2025-01-14T14:04:35","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1549","displayTitle":"An Interagency Perspective on Improving Consistency and Transparency of Land Use and Land Cover Mapping","title":"An interagency perspective on improving consistency and transparency of land use and land cover mapping","docAbstract":"<h1>Executive Summary&nbsp;</h1><p>Geospatial products of land use and land cover are broadly used in many applications. For example, the annual national greenhouse gas inventory uses the National Land Cover Database, the Coastal Change Analysis Program, Landscape Fire and Resource Management Planning Tools, the Forest Inventory and Analysis, and the National Resources Inventory to represent the land use and management base of the United States and attribute sources and sinks of greenhouse gas emissions. Federally produced land use and land cover datasets for the United States, including those from the Multi-Resolution Land Characteristics Consortium, set the foundation for developing and informing applications such as land change, conservation, greenhouse gas monitoring, urban planning, agricultural production, ecosystem functions, and water quantity and use. No single land use and land cover product is optimal for all land use and land cover applications. Approaches for defining and mapping land use and land cover classes differ across Federal map products, reflecting the tailoring of product specifications to match specific agency needs. These differing approaches present a challenge when attempting to integrate and harmonize multiple land use and land cover products into single analysis or application frameworks. Nuanced understanding of how these products are designed and produced may not be immediately evident to users; however, the availability of a diverse suite of products also represents an opportunity, providing multiple approaches for observing landscape change. In response to the National Strategy to Advance an Integrated U.S. Greenhouse Gas Measurement, Monitoring, and Information System, this Multi-Resolution Land Characteristics Consortium-led interagency report presents (1) the current status of U.S. Federal land use and land cover products (as of May 2024), (2) existing synergies and integration among these federally produced land use and land cover products, (3) inherent challenges of creating a single consistent framework, and (4) strategies for collectively tackling these challenges to improve coordination and collaboration among data producers and facilitate the adoption of land use and land cover products for greenhouse gas monitoring and a variety of other applications.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1549","usgsCitation":"Sohl, T., Schleeweis, K., Herold, N., Lang, M., La Puma, I., Wickham, J., Mueller, R., Rigge, M., Dewitz, J., Brown, J., Ingebritsen, J., Ellenwood, J., Wengert, E., Rowe, J., Flanagan, P., Kachergis, E., Garthwaite, I., and Wu, Z., 2025, An interagency perspective on improving consistency and transparency of land use and land cover mapping: U.S. Geological Survey Circular 1549, 47 p., https://doi.org/10.3133/cir1549.","productDescription":"vi, 47 p.","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-169525","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"links":[{"id":466201,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1549/coverthb.jpg"},{"id":492021,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118295.htm","linkFileType":{"id":5,"text":"html"}},{"id":466205,"rank":5,"type":{"id":39,"text":"HTML 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Street<br>Sioux Falls, SD 57198</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Current State of Land Cover and Land Use Products (May 2024)</li><li>Improving Transparency in Using Land Use, Land Cover, and Change Products</li><li>Future Directions and Considerations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-14","noUsgsAuthors":false,"publicationDate":"2025-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Sohl, Terry 0000-0002-9771-4231","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":339876,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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,{"id":70262094,"text":"sir20245123 - 2025 - Groundwater-level elevations in the Denver Basin bedrock aquifers and Upper Black Squirrel Creek alluvial aquifer, El Paso County, Colorado, 2021–24","interactions":[],"lastModifiedDate":"2025-07-10T15:36:36.719182","indexId":"sir20245123","displayToPublicDate":"2025-01-14T12:40:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5123","displayTitle":"Groundwater-Level Elevations in the Denver Basin Bedrock Aquifers and Upper Black Squirrel Creek Alluvial Aquifer, El Paso County, Colorado, 2021–24","title":"Groundwater-level elevations in the Denver Basin bedrock aquifers and Upper Black Squirrel Creek alluvial aquifer, El Paso County, Colorado, 2021–24","docAbstract":"<p>El Paso County is the second-most populous county in Colorado and is projected to grow another 15 percent by 2030. Within El Paso County is the Upper Black Squirrel Creek Designated Groundwater Basin (Black Squirrel Basin), an area where surface water is scarce and water users rely primarily on groundwater from five different aquifers (the Upper Black Squirrel Creek alluvial aquifer and four bedrock aquifers within the Denver Basin aquifer system: the lower Dawson, Denver, Arapahoe, and Laramie-Fox Hills aquifers) to meet their needs. Currently (2024), land within the Upper Black Squirrel Creek Basin is primarily used for rural grazing and agriculture; however, municipal development is ongoing.</p><p>In 2021, the U.S. Geological Survey, in cooperation with the Upper Black Squirrel Creek Ground Water Management District, began a study to establish a baseline dataset and assess the groundwater resources of the aquifers within the Black Squirrel Basin. A network of 39 wells was established in 2021; discrete groundwater-level measurements were made bimonthly. Nine of the 39 wells were equipped with pressure transducers to record hourly groundwater-level data. Seven wells had statistically significant seasonal trends, and trends at 3 wells were negative. For the discrete data, 16 wells had a significant trend for the study period, and 4 wells had negative trends. For the time-series data, 8 wells had significant trends, and 3 wells had negative trends.</p><p>Potentiometric surface maps were created for this study using discrete, static groundwater levels measured in April 2023. These maps showed the estimated groundwater flow direction from the north-northwest to the south-southeast in the alluvial aquifer and from the northwest to the east-southeast for the lower Dawson and Denver aquifer wells.</p><p>This study indicates the potential benefit of monitoring wells in the areas near municipal pumping. Additional monitoring could lead to a better understanding of connectivity between aquifers and be an important tool for assessing long-term sustainability of groundwater use.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20245123","isbn":"978-1-4113-4591-1","collaboration":"Prepared in cooperation with Upper Black Squirrel Creek Ground Water Management District","usgsCitation":"Kisfalusi, Z.D., Hennessy, E.K., and Sharp, J.B., 2025, Groundwater-level elevations in the Denver Basin bedrock aquifers and Upper Black Squirrel Creek alluvial aquifer, El Paso County, Colorado, 2021–24: U.S. Geological Survey Scientific Investigations Report 2024–5123, 49 p., https://doi.org/10.3133/sir20245123.","productDescription":"Report: vii, 49 p.; Database","onlineOnly":"N","ipdsId":"IP-147629","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":492020,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118294.htm","linkFileType":{"id":5,"text":"html"}},{"id":480762,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245123/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5123"},{"id":466239,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5123/sir20245123.xml"},{"id":466238,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5123/images"},{"id":466138,"rank":3,"type":{"id":9,"text":"Database"},"url":"http://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey, 2024, USGS water data for the Nation","linkHelpText":"U.S. Geological Survey National Water Information System database, accessed June 15, 2024"},{"id":466137,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5123/sir20245123.pdf","text":"Report","size":"9.24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5123"},{"id":466136,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5123/coverthb.jpg"}],"country":"United States","state":"Colorado","county":"El Paso County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.6642,39.1308],[-104.6072,39.1307],[-104.4958,39.1298],[-104.3854,39.1284],[-104.2733,39.1278],[-104.166,39.1277],[-104.0521,39.1264],[-104.0538,39.0407],[-104.0544,38.9528],[-104.0549,38.8666],[-104.0537,38.7801],[-104.0525,38.693],[-104.051,38.6585],[-104.0524,38.6069],[-104.054,38.523],[-104.1629,38.5215],[-104.2759,38.5204],[-104.2794,38.5205],[-104.2836,38.5201],[-104.3759,38.52],[-104.4971,38.5192],[-104.6071,38.5187],[-104.7171,38.5186],[-104.736,38.5183],[-104.8295,38.5183],[-104.943,38.5175],[-104.9432,38.5479],[-104.943,38.5624],[-104.9429,38.6041],[-104.9427,38.6186],[-104.9429,38.6467],[-104.9429,38.6503],[-104.9427,38.6621],[-104.9427,38.6648],[-104.9428,38.6938],[-104.9399,38.6938],[-104.9386,38.7808],[-104.939,38.7949],[-105.0671,38.7946],[-105.0674,38.8666],[-105.0502,38.8665],[-105.0296,38.8668],[-105.026,39.0413],[-105.032,39.1311],[-104.9371,39.1312],[-104.9175,39.131],[-104.8303,39.1311],[-104.6642,39.1308]]]},\"properties\":{\"name\":\"El Paso\",\"state\":\"CO\"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/colorado-water-science-center/\" data-mce-href=\"https://www.usgs.gov/centers/colorado-water-science-center/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 415<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Methods</li><li>Groundwater-Level Elevations in Aquifers in the Upper Black Squirrel Creek Designated Groundwater Basin</li><li>Additional Research</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Groundwater Well Measurement Diagram </li><li>Appendix 2. Hydrographs Showing Groundwater-Level Elevation Through Time for Wells in the Upper Black Squirrel Creek Designated Groundwater Basin, El Paso County, Groundwater-Level Monitoring Network</li><li>Appendix 3. Descriptions and Equations of Mann-Kendall Test, Seasonal Mann-Kendall Test, and Theil-Sen Slope Estimate</li></ul>","publishedDate":"2025-01-14","noUsgsAuthors":false,"publicationDate":"2025-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Kisfalusi, Zachary D. 0000-0001-6016-3213","orcid":"https://orcid.org/0000-0001-6016-3213","contributorId":222422,"corporation":false,"usgs":true,"family":"Kisfalusi","given":"Zachary","email":"","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hennessy, Erin K. 0000-0003-3436-0699","orcid":"https://orcid.org/0000-0003-3436-0699","contributorId":300634,"corporation":false,"usgs":true,"family":"Hennessy","given":"Erin","email":"","middleInitial":"K.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharp, Jackson B. 0009-0005-5495-1041","orcid":"https://orcid.org/0009-0005-5495-1041","contributorId":332900,"corporation":false,"usgs":true,"family":"Sharp","given":"Jackson B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923062,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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