{"pageNumber":"46","pageRowStart":"1125","pageSize":"25","recordCount":185258,"records":[{"id":70272622,"text":"70272622 - 2025 - Drowned river mouth lakes are winter foraging habitats for the expanding Lake Michigan cisco Coregonus artedi population","interactions":[],"lastModifiedDate":"2025-11-26T14:08:32.471574","indexId":"70272622","displayToPublicDate":"2025-11-22T08:02:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Drowned river mouth lakes are winter foraging habitats for the expanding Lake Michigan cisco <i>Coregonus artedi</i> population","title":"Drowned river mouth lakes are winter foraging habitats for the expanding Lake Michigan cisco Coregonus artedi population","docAbstract":"<p><span>Characterizing fish movements is required for understanding habitat use, energy flow, and trophic structure and can inform fisheries management. Drowned river mouth (DRM) lakes are productive inland habitats in the Laurentian Great Lakes basin used by migratory fishes. Despite recognition of their ecological connections to the Great Lakes, the value of DRM lakes as seasonal habitats is not well understood for many fishes. One such species, cisco&nbsp;</span><i>Coregonus artedi</i><span>, has recently expanded in Lake Michigan from near extirpation to higher relative abundances in the northeastern portion of the lake. Cisco are recreationally harvested in some DRM lakes during winter, but little is known about cisco movement patterns and ecology. In winter 2022 and 2023, we collected cisco from three DRM lakes along the eastern shores of Lake Michigan (Lake Charlevoix, Portage Lake, Muskegon Lake) to characterize genetics, morphometrics, and diets. We also implanted telemetry tags in 20 cisco collected in Lake Charlevoix to examine movement patterns and determine DRM lake residency (i.e., seasonal vs. year-round). We found no consistent genetic or morphometric differentiation across DRM lakes, suggesting that recolonization began from a single stock. Fish were the only diet item found in cisco guts collected during winter months. Movement patterns from Lake Charlevoix indicated strong spawning site fidelity to Grand Traverse Bay as well as non-spawning site fidelity. However, given the presence of cisco in southern DRM lakes and some site-specific differences in morphometrics, managers could benefit from further research to determine whether spawning occurs in southern Lake Michigan.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102683","usgsCitation":"Tingley, R.W., Hondorp, D.W., Turschak, B.A., Pothoven, S.A., Ackiss, A.S., Jonas, J., Fetzer, W.W., Leonhardt, B.S., Honsey, A.E., Elliott, J., Egedy, L., Brant, C., Benes, L., Kozlauskos, K., Renauer-Bova, R., and Ropp, A.J., 2025, Drowned river mouth lakes are winter foraging habitats for the expanding Lake Michigan cisco Coregonus artedi population: Journal of Great Lakes Research, https://doi.org/10.1016/j.jglr.2025.102683.","ipdsId":"IP-179185","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":496896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tingley, Ralph W. III 0000-0002-1689-2133","orcid":"https://orcid.org/0000-0002-1689-2133","contributorId":189812,"corporation":false,"usgs":true,"family":"Tingley","given":"Ralph","suffix":"III","email":"","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turschak, Benjamin 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Kendra","contributorId":363049,"corporation":false,"usgs":false,"family":"Kozlauskos","given":"Kendra","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":950998,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Renauer-Bova, Renee","contributorId":363051,"corporation":false,"usgs":false,"family":"Renauer-Bova","given":"Renee","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":950999,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Ropp, Ann J. 0000-0002-7934-6471","orcid":"https://orcid.org/0000-0002-7934-6471","contributorId":305950,"corporation":false,"usgs":true,"family":"Ropp","given":"Ann","email":"","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":951000,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70275199,"text":"70275199 - 2025 - Success of restoration strategies in preventing extirpation of 2 critically endangered coral species","interactions":[],"lastModifiedDate":"2026-04-22T14:51:23.073098","indexId":"70275199","displayToPublicDate":"2025-11-22T07:45:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Success of restoration strategies in preventing extirpation of 2 critically endangered coral species","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>An unprecedented marine heatwave in 2023 caused widespread coral bleaching and mortality throughout the Caribbean. In the Florida Keys (USA), 2 foundation species, elkhorn coral (</span><i>Acropora palmata</i><span>) and staghorn coral (</span><i>Acropora cervicornis</i><span>), were severely affected. These species have been the primary focus of reef restoration in Florida for decades. Substantial losses of these species occurred in outplanted populations, in ocean-based nurseries, and among remnant wild colonies, leading to uncertainty over their future in the Florida Keys, given recent observed trends in climate conditions. However, the past 2 decades of restoration activity created a community of experts, a network of ocean-based and land-based coral-rearing infrastructure, and 2 independent land-based coral gene banks that prevented regional extirpation and preserved much of the genetic richness of these critically endangered coral species. Without the past decades of effort and the emergency response associated with the 2023 bleaching event, Florida acroporids would largely have been lost. This outcome afforded by the restoration network in Florida demonstrates the value of proactively establishing resources prior to major disturbances. We identified several critical strategies that, in the context of existing climate change, are preventing the extirpation of coral species in Florida, including extending collaborative restoration efforts to solidify a network of trained experts; establishing trust-focused relationships among management agencies and restoration groups; testing direct interventions to reduce light and temperature stress early during thermal anomalies; developing redundant ocean-based and land-based nurseries; and establishing living coral gene banks prior to major threats to prevent the extirpation of coral species.</span></span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.70168","usgsCitation":"Muller, E.M., Ladd, M.C., Karp, R.F., Montoya-Maya, P.H., Kuffner, I.B., Baker, A.C., Bartels, E., Bourque, A., Clark, A.S., Cox, N., D’Alessandro, M., Daughtry, B., Firchau, B., Fix, L., Gilliam, D.S., Hesley, D., Lewis, C., Lirman, D., Lustic, C., Macauley, K., Moore, J., Nedimyer, K., O’Neil, K., Parsons, K.T., Smith, K.M., Spadaro, J., Thomasson, B.C., Unsworth, J.D., Vaughan, D., and Miller, M.W., 2025, Success of restoration strategies in preventing extirpation of 2 critically endangered coral species: Conservation Biology, v. 40, no. 2, e70168, 12 p., https://doi.org/10.1111/cobi.70168.","productDescription":"e70168, 12 p.","ipdsId":"IP-168200","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":503443,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/cobi.70168","text":"External Repository"},{"id":503301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n       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,{"id":70272146,"text":"fs20253052 - 2025 - Assessment of undiscovered oil and gas resources in the Santa Maria Basin Province, California, 2024","interactions":[],"lastModifiedDate":"2026-02-03T16:35:56.819465","indexId":"fs20253052","displayToPublicDate":"2025-11-21T11:55:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3052","displayTitle":"Assessment of Undiscovered Oil and Gas Resources in the Santa Maria Basin Province, California, 2024","title":"Assessment of undiscovered oil and gas resources in the Santa Maria Basin Province, California, 2024","docAbstract":"<p class=\"MsoNormal\">Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 67 million barrels of oil and 56 billion cubic feet of gas in the Santa Maria Basin Province of California.&nbsp;&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253052","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Tennyson, M.E., Mercier, T.J., Le, P.A., Cicero, A.D., Drake, R.M., II, Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., and Leathers-Miller, H.M., 2025, Assessment of undiscovered oil and gas resources in the Santa Maria Basin Province, California, 2024 (ver. 1.1, November 26, 2025): U.S. Geological Survey Fact Sheet 2025–3052, 4 p., https://doi.org/10.3133/fs20253052.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-171237","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":496780,"rank":6,"type":{"id":39,"text":"HTML 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MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3052"},{"id":496541,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3052/coverthb2.jpg"},{"id":497796,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118988.htm"},{"id":496779,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3052/fs20253052.xml"}],"country":"United States","state":"California","otherGeospatial":"Santa Maria Basin Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121,\n              35.25\n            ],\n            [\n              -121,\n              34.4\n            ],\n            [\n              -119.5,\n              34.4\n            ],\n            [\n              -119.5,\n              35.25\n            ],\n            [\n              -121,\n              35.25\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: November 21, 2025; Version 1.1: November 26, 2025","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\" data-mce-href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Total Petroleum System and Assessment Units</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishedDate":"2025-11-21","revisedDate":"2025-11-26","noUsgsAuthors":false,"publicationDate":"2025-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":950222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":202544,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercier, Tracey J. 0000-0002-8232-525X","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":255366,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Le, Phuong A. 0000-0003-2477-509X","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":255367,"corporation":false,"usgs":true,"family":"Le","given":"Phuong A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cicero, Andrea D. 0000-0003-3632-304X","orcid":"https://orcid.org/0000-0003-3632-304X","contributorId":270005,"corporation":false,"usgs":true,"family":"Cicero","given":"Andrea","email":"","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950226,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drake II, Ronald M. 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":172671,"corporation":false,"usgs":true,"family":"Drake II","given":"Ronald","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950227,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gelman, Sarah E. 0000-0003-2549-9509","orcid":"https://orcid.org/0000-0003-2549-9509","contributorId":270004,"corporation":false,"usgs":true,"family":"Gelman","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950228,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hearon, Jane S. 0000-0002-1370-8169","orcid":"https://orcid.org/0000-0002-1370-8169","contributorId":270007,"corporation":false,"usgs":true,"family":"Hearon","given":"Jane","email":"","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950229,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Benjamin G. 0000-0002-9462-9322","orcid":"https://orcid.org/0000-0002-9462-9322","contributorId":270008,"corporation":false,"usgs":true,"family":"Johnson","given":"Benjamin","email":"","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950230,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lagesse, Jenny H. 0000-0002-3541-4751","orcid":"https://orcid.org/0000-0002-3541-4751","contributorId":248367,"corporation":false,"usgs":true,"family":"Lagesse","given":"Jenny","email":"","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950231,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":210000,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi M.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950232,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70273280,"text":"70273280 - 2025 - Divergent responses of seed banks and aboveground vegetation to drought and deluge in grasslands across an elevational gradient","interactions":[],"lastModifiedDate":"2025-12-30T17:12:11.710464","indexId":"70273280","displayToPublicDate":"2025-11-21T11:09:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Divergent responses of seed banks and aboveground vegetation to drought and deluge in grasslands across an elevational gradient","docAbstract":"<p><span>Increased variability in precipitation associated with climate change creates extreme conditions of drought and deluge that can have profound effects on the abundance and composition of plant communities. Responses to these extremes likely vary across climatic gradients and depend on local plant community composition, which includes the emergent, aboveground vegetation as well as belowground seed banks. Because seed banks can both buffer the effects of environmental change and influence the future trajectories of communities, it is critical to understand seed bank responses to precipitation extremes in relation to the aboveground vegetation and how patterns vary across environmental gradients. Here we quantified the responses of aboveground and seed bank communities at five perennial grass-dominated sites across an elevational gradient to 6 years of extreme drought and deluge, by implementing experimental water exclusion and water addition treatments. Responses were stronger for drought than for deluge. Drought decreased abundance aboveground, while seed bank abundances were generally unaffected. Similarly, drought decreased richness and diversity of aboveground vegetation at intermediate elevations, without concurrent changes in seed banks. Surprisingly, the lowest and middle elevation sites showed stronger shifts in functional composition and dissimilarity in response to treatments, despite the expectation of greater buffering in seed banks in more arid environments. The relatively attenuated responses of seed bank communities to drought and deluge suggest potential for resistance and recovery, though species and functional composition may show greater responses to change particularly in more arid, lower elevation sites.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00442-025-05833-x","usgsCitation":"Gremer, J.R., Moore, M.M., Laughlin, D.C., and Munson, S.M., 2025, Divergent responses of seed banks and aboveground vegetation to drought and deluge in grasslands across an elevational gradient: Oecologia, v. 207, 195, 13 p., https://doi.org/10.1007/s00442-025-05833-x.","productDescription":"195, 13 p.","ipdsId":"IP-177518","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","city":"Flagstaff","volume":"207","noUsgsAuthors":false,"publicationDate":"2025-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Gremer, Jennifer R.","contributorId":364660,"corporation":false,"usgs":false,"family":"Gremer","given":"Jennifer","middleInitial":"R.","affiliations":[{"id":86883,"text":"Dept of Evolution and Ecology, University of California, Davis, CA; Center for Population Biology, University of California, Davis, CA","active":true,"usgs":false}],"preferred":false,"id":953013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Margaret M.","contributorId":364661,"corporation":false,"usgs":false,"family":"Moore","given":"Margaret","middleInitial":"M.","affiliations":[{"id":39973,"text":"School of Forestry, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":953014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laughlin, Daniel C.","contributorId":364662,"corporation":false,"usgs":false,"family":"Laughlin","given":"Daniel","middleInitial":"C.","affiliations":[{"id":86885,"text":"Department of Botany, University of Wyoming, Laramie, WY","active":true,"usgs":false}],"preferred":false,"id":953015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":220026,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":953016,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272209,"text":"70272209 - 2025 - Simulation of the impacts of spring diversions on streamflow in the Strawberry Creek watershed, San Bernardino County, California, using an integrated hydrological model","interactions":[],"lastModifiedDate":"2026-06-24T15:10:45.215834","indexId":"70272209","displayToPublicDate":"2025-11-21T11:02:59","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Simulation of the impacts of spring diversions on streamflow in the Strawberry Creek watershed, San Bernardino County, California, using an integrated hydrological model","docAbstract":"<p><span>The Strawberry Creek watershed, situated in the San Bernardino Mountains of southern California, features a group of natural springs known as Arrowhead Springs that have been augmented with diversions in the form of sub-horizontal borings and tunnels. Understanding the impact of these structures on streamflow through groundwater capture is crucial for managing surface-water resources in this watershed. In this study we constructed the Strawberry Creek integrated hydrological model (SCIHM) to increase this understanding. The SCIHM is an integrated surface runoff and groundwater model that uses the coupled groundwater and surface-water flow model (GSFLOW), which is based on the integration of the precipitation-runoff modeling system (PRMS) and the modular groundwater flow model commonly called MODFLOW, version MODFLOW-2005 software to simulate surface runoff and infiltration and groundwater flow. The model has three layers, 263 rows, and 176 columns. The model area includes the Strawberry Creek and four adjacent watersheds. The PRMS model was calibrated using two streamflow gaging stations and the GSFLOW model was calibrated to reported spring diversion discharge and a sparse number of groundwater-level measurements. The SCIHM was run with and without diversions active and simulated streamflow was compared, finding that in the headwaters of Strawberry Creek about 35 percent of the diversion flow was captured from base flow.</span></p>","language":"English","publisher":"EartharXiv","doi":"10.31223/X5JB2K","usgsCitation":"Ryter, D.W., Hevesi, J.A., and Woolfenden, L.R., 2025, Simulation of the impacts of spring diversions on streamflow in the Strawberry Creek watershed, San Bernardino County, California, using an integrated hydrological model: EarthArXiv, https://doi.org/10.31223/X5JB2K.","productDescription":"52 p.","ipdsId":"IP-181734","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":497778,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ryter, Derek W. 0000-0002-2488-626X dryter@usgs.gov","orcid":"https://orcid.org/0000-0002-2488-626X","contributorId":3395,"corporation":false,"usgs":true,"family":"Ryter","given":"Derek","email":"dryter@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hevesi, Joseph A.","contributorId":362410,"corporation":false,"usgs":false,"family":"Hevesi","given":"Joseph","middleInitial":"A.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":950447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woolfenden, Linda R.","contributorId":362411,"corporation":false,"usgs":false,"family":"Woolfenden","given":"Linda","middleInitial":"R.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":950448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70274557,"text":"70274557 - 2025 - Wetter winters, drier summers: Quantifying the change in hydrological response around the Puget Sound area using the wflow_sbm hydrological model and CMIP6 projections","interactions":[],"lastModifiedDate":"2026-03-31T13:53:52.426422","indexId":"70274557","displayToPublicDate":"2025-11-21T08:40:53","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Wetter winters, drier summers: Quantifying the change in hydrological response around the Puget Sound area using the wflow_sbm hydrological model and CMIP6 projections","docAbstract":"<p><span>Climate change is expected to impact hydrological regimes worldwide, including the Pacific Northwest of the United States. This study investigates how climate change will affect river discharge in the Puget Sound region of the State of Washington, with a focus on King and Pierce Counties. We simulated river discharge under historical and future conditions using</span><br><span>the physically based, spatially distributed wflow_sbm hydrological model, which was calibrated and validated against U.S. Geological Survey discharge records. Future forcing was based on an ensemble of six high-resolution CMIP6 climate models, which were bias corrected using empirical quantile mapping. The results indicate a decrease in summer discharges (5–10%) and an increase in winter discharges (5–10%) across the study region. The high discharges (90th percentile) are projected to increase in winter, and the low discharges are projected to decrease in summer, due to shifts in precipitation regimes, snowpack hydrology, and evapotranspiration. However, variability between individual CMIP6 models often exceeds the magnitude of ensemble mean changes, underscoring substantial uncertainty in climate projections and the importance of including multiple climate models in climate change analysis. Furthermore, model consensus increased with elevation, which could be the result of the higher elevation areas being driven by less diverse hydrological processes. These findings highlight potential challenges for regional water management, ecosystem health, and flood risk mitigation in the Puget Sound region under future climate conditions.</span></p>","language":"English","publisher":"EarthArXiv","doi":"10.31223/X58R0G","usgsCitation":"Buitink, J., Dalmijn, B., Parker, K.A., Nederhoff, C.M., and Grossman, E.E., 2025, Wetter winters, drier summers: Quantifying the change in hydrological response around the Puget Sound area using the wflow_sbm hydrological model and CMIP6 projections: EarthArXiv, https://doi.org/10.31223/X58R0G.","productDescription":"33 p.","ipdsId":"IP-183777","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":501855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buitink, Joost 0000-0002-5156-0329","orcid":"https://orcid.org/0000-0002-5156-0329","contributorId":369023,"corporation":false,"usgs":false,"family":"Buitink","given":"Joost","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":958298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalmijn, Brendan","contributorId":369024,"corporation":false,"usgs":false,"family":"Dalmijn","given":"Brendan","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":958299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Kai Alexander 0000-0002-0268-3891","orcid":"https://orcid.org/0000-0002-0268-3891","contributorId":292869,"corporation":false,"usgs":true,"family":"Parker","given":"Kai","email":"","middleInitial":"Alexander","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":958300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nederhoff, Cornelis M. 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":265889,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Cornelis","email":"","middleInitial":"M.","affiliations":[{"id":33886,"text":"Deltares USA","active":true,"usgs":false}],"preferred":true,"id":958301,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":196610,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric","email":"egrossman@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":958302,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274007,"text":"70274007 - 2025 - Observations of tear-drinking by lepidopterans on moose (<i>Alces alces americana</i>) in northeastern North America","interactions":[],"lastModifiedDate":"2026-02-20T22:15:06.076976","indexId":"70274007","displayToPublicDate":"2025-11-20T15:08:57","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":"Observations of tear-drinking by lepidopterans on moose (<i>Alces alces americana</i>) in northeastern North America","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><i>Lepidoptera</i><span>&nbsp;have long been known to feed on the tears of vertebrates as a presumed source of minerals or nutrients. While this unusual behavior has been observed in a variety of species, only a single previous record has been documented outside of the tropics. Here, we present the first documentation of moths visiting the eyes of a bull moose (</span><i>Alces americanus americanus</i><span>), captured via trail camera in Green Mountain National Forest, Vermont, United States. We discuss the biogeography of this behavior, how it may differ between tropical and temperate climates, and its potential impact on moose health.</span></span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70422","usgsCitation":"Clarfeld, L.A., Gieder, K.D., Donovan, T.M., 2025, Observations of tear-drinking by lepidopterans on moose (<i>Alces alces americana</i>) in northeastern North America: Ecosphere, v. 16, no. 11, e70422, 5 p., https://doi.org/10.1002/ecs2.70422.","productDescription":"e70422, 5 p.","ipdsId":"IP-178676","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":500583,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70422","text":"Publisher Index Page"},{"id":500379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Green Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.01538730171357,\n              44.68744433112053\n            ],\n            [\n              -73.01538730171357,\n              43.41791271615742\n            ],\n            [\n              -72.60965552163997,\n              43.41791271615742\n            ],\n            [\n              -72.60965552163997,\n              44.68744433112053\n            ],\n            [\n              -73.01538730171357,\n              44.68744433112053\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Clarfeld, Laurence A.","contributorId":366633,"corporation":false,"usgs":false,"family":"Clarfeld","given":"Laurence","middleInitial":"A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":956108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gieder, Katherina D.","contributorId":366634,"corporation":false,"usgs":false,"family":"Gieder","given":"Katherina","middleInitial":"D.","affiliations":[{"id":39587,"text":"Vermont Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":956109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":956110,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272457,"text":"70272457 - 2025 - Modeling the influence of upper and lower shoreface dynamics on barrier island evolution","interactions":[],"lastModifiedDate":"2025-11-21T18:40:17.973359","indexId":"70272457","displayToPublicDate":"2025-11-20T12:37:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the influence of upper and lower shoreface dynamics on barrier island evolution","docAbstract":"<p><span>Barrier island resilience to climate impacts depends on sediment redistribution between the subaqueous shoreface and subaerial barrier during sea-level rise and storms. However, autogenic interactions between the upper and lower shoreface and their influence on the subaerial barrier are poorly characterized. Here, we explore the influences of various shoreface components on barrier morphology using a model of barrier and shoreface evolution under sea-level rise, the Articulated Barrier Shoreface (ABSF) Model. This reduced-complexity model divides the shoreface into upper and lower shoreface panels that respond independently to sea-level rise and deviations from the equilibrium slope. We couple the ABSF with the Lorenzo-Trueba &amp; Ashton, 2014,&nbsp;</span><a class=\"linkBehavior\" href=\"https://doi.org/10.1002/2013jf002941\" data-mce-href=\"https://doi.org/10.1002/2013jf002941\">https://doi.org/10.1002/2013jf002941</a><span>&nbsp;model (LTA), a barrier island evolution model driven by overwash and sea-level rise. Through this coupled framework, we examine the influences of upper and lower shoreface slopes, their respective depths, and sensitivity to wave climate on long-term barrier evolution. Results show that the relative depths of the upper and lower shoreface toes influence barrier response to rising seas, alongside overwash flux and closure depth. Notably, the lower shoreface response to sea-level change lags that of the upper shoreface over decades, diminishing the resilience of the barrier over centennial timescales by slowing the overall barrier response. In fact, the ABSF model predicts barriers will drown faster and more than predicted with a linear shoreface. Results highlight the shoreface as an important sediment reservoir for barrier islands and that differences in upper and lower shoreface responses can reduce barrier resilience to sea-level rise due to limited lower shoreface sediment accessibility.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JF008391","usgsCitation":"Palermo, R.E., Miselis, J.L., Ciarletta, D.J., and Wei, E., 2025, Modeling the influence of upper and lower shoreface dynamics on barrier island evolution: JGR Earth Surface, v. 130, no. 11, e2025JF008391, 22 p., https://doi.org/10.1029/2025JF008391.","productDescription":"e2025JF008391, 22 p.","ipdsId":"IP-176281","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":496926,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jf008391","text":"Publisher Index Page"},{"id":496791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Palermo, Rose Elizabeth 0000-0002-7438-361X","orcid":"https://orcid.org/0000-0002-7438-361X","contributorId":300046,"corporation":false,"usgs":true,"family":"Palermo","given":"Rose","email":"","middleInitial":"Elizabeth","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":950826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":950827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ciarletta, Daniel J. 0000-0002-8555-2239","orcid":"https://orcid.org/0000-0002-8555-2239","contributorId":256700,"corporation":false,"usgs":true,"family":"Ciarletta","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":950828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wei, Emily A","contributorId":290630,"corporation":false,"usgs":false,"family":"Wei","given":"Emily A","affiliations":[{"id":62462,"text":"University of California San Diego, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":950829,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272190,"text":"pp1890I - 2025 - Spatio-temporal evolution of distributed volcanic fields, case studies—Sierra Chichinautzin and Michoacán-Guanajuato, México","interactions":[{"subject":{"id":70272190,"text":"pp1890I - 2025 - Spatio-temporal evolution of distributed volcanic fields, case studies—Sierra Chichinautzin and Michoacán-Guanajuato, México","indexId":"pp1890I","publicationYear":"2025","noYear":false,"chapter":"I","displayTitle":"Spatio-Temporal Evolution of Distributed Volcanic Fields, Case Studies—Sierra Chichinautzin and Michoacán-Guanajuato, México","title":"Spatio-temporal evolution of distributed volcanic fields, case studies—Sierra Chichinautzin and Michoacán-Guanajuato, México"},"predicate":"IS_PART_OF","object":{"id":70259456,"text":"pp1890 - 2024 - Distributed volcanism—Characteristics, processes, and hazards","indexId":"pp1890","publicationYear":"2024","noYear":false,"title":"Distributed volcanism—Characteristics, processes, and hazards"},"id":1}],"isPartOf":{"id":70259456,"text":"pp1890 - 2024 - Distributed volcanism—Characteristics, processes, and hazards","indexId":"pp1890","publicationYear":"2024","noYear":false,"title":"Distributed volcanism—Characteristics, processes, and hazards"},"lastModifiedDate":"2026-02-03T16:35:11.775005","indexId":"pp1890I","displayToPublicDate":"2025-11-20T11:30:00","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":"1890","chapter":"I","displayTitle":"Spatio-Temporal Evolution of Distributed Volcanic Fields, Case Studies—Sierra Chichinautzin and Michoacán-Guanajuato, México","title":"Spatio-temporal evolution of distributed volcanic fields, case studies—Sierra Chichinautzin and Michoacán-Guanajuato, México","docAbstract":"<p>An analysis of 1,375 volcanoes in the Michoacán-Guanajuato (1,148 volcanoes in a 26,200 square-kilometer area) and Sierra Chichinautzin (227 volcanoes in a 3,500 square-kilometer area) volcanic fields in central Mexico identified patterns in the spatial and temporal distribution of past eruptions. A cluster agglomerative hierarchical method and kernel analysis confirmed that the Michoacán-Guanajuato volcanic field comprises four volcanic fields (Valle de Santiago, Uruapan, Apatzingán, and Pátzcuaro volcanic fields) controlled by different fault systems, indicating that it is not a single volcanic field but rather a group of volcanic fields (a “superfield”), each of which has distinct characteristics.</p><p>In the Sierra Chichinautzin volcanic field, well-constrained isotopic ages were used to build a model of how the spatial distribution of the eruptions has changed over time. Two new 40Ar/39Ar ages from a locally recognized volcanic feature near the town of El Cantil, herein called El Cantil volcano (1,537±17 kilo-annum [ka]) and the volcanic feature at Cerro el Elefante (herein called El Elefante dome) (1,485±92 ka) belong to the oldest volcanic group identified in the Sierra Chichinautzin volcanic field, confirming the timing of the beginning of monogenetic volcanism in the region. Based on the volcanic groups identified in the Sierra Chichinautzin volcanic field, the youngest volcanism (less than 35 ka) is found only in the central-western sector of the field. Principal component analysis determined the directional trends of feeder dikes only for vents &lt;10 ka in the Sierra Chichinautzin volcanic field. Possible magma migration paths through the crust were identified using seismic data from both volcanic fields using an earthquake catalog from 1973 to 2023, which includes 9,016 earthquakes in the Michoacán-Guanajuato volcanic field and 841 in the Sierra Chichinautzin volcanic field. The spatial distribution of the hypocenters does not highlight any trend that could be associated with superficial movement of magma in the Sierra Chichinautzin volcanic field. In the Michoacán-Guanajuato volcanic field, however, eight seismic swarms since 1997 have been detected. These swarms are interpreted to result from ascending magma. Strengthening monitoring systems and reinforcing mitigation measures to address volcanic hazards and risk are important means of preparing for future eruptions in both regions. Analysis such as those herein provide insights as to where an eruption might occur and may help mitigate volcanic hazards.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1890I","usgsCitation":"Jaimes-Viera, C., Nieto-Torres, A., Martin Del Pozzo, A.L., Germa, A., Connor, C., Ort, M., Layer, P., and Benowitz, J., 2025, Spatio-Temporal Evolution of Distributed Volcanic Fields, Case Studies—Sierra Chichinautzin and Michoacán-Guanajuato, México, chap. I <i>of</i> Poland, M.P., Ort, M.H., Stovall, W.K., Vaughan, G.R., Conner, C.B., and Rumpf, M.E., eds., Distributed volcanism—Characteristics, processes, and hazards: U.S. Geological Survey Professional Paper 1890, 28 p., https://doi.org/10.3133/pp1890I.","productDescription":"Report: v, 28 p.; 3 Tables","onlineOnly":"Y","ipdsId":"IP-157952","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":496700,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/pp/1890/i/pp1890I.XML"},{"id":496699,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1890/i/images"},{"id":496625,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1890/i/coverthb.jpg"},{"id":496626,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1890/i/pp1890I.pdf","text":"Report","size":"7.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Professional Paper 1890-I"},{"id":496629,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/pp/1890/i/PP1890I_supptable1A.csv","text":"Table 1A","size":"12.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"Professional Paper 1890-I, Table 1A","linkHelpText":"Radiometric (14C and 40Ar/39Ar) ages from volcanoes from Sierra Chichinautzin volcanic field"},{"id":496632,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/pp/1890/i/PP1890I_supptable1B.csv","text":"Table 1B","size":"12.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"Professional Paper 1890-I, Table 1B","linkHelpText":"Estimated and calibrated ages from the volcanoes from Sierra Chichinautzin volcanic field"},{"id":496633,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/pp/1890/i/PP1890I_supptable2.csv","text":"Table 2","size":"80.0 KB","linkFileType":{"id":7,"text":"csv"},"description":"Professional Paper 1890-I, Table 2","linkHelpText":"Location, h/wb ratio and age of main cones in Michoacán-Guanajuato and Sierra Chichinautzin volcanic fields"},{"id":497260,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/pp1890I/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Professional Paper 1890-I"}],"country":"Mexico","otherGeospatial":"Michoacán-Guanajuato, Sierra Chichinautzin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -99.667,\n              19.333\n            ],\n            [\n              -99.667,\n              18.833\n            ],\n            [\n              -98.5,\n              18.833\n            ],\n            [\n              -98.5,\n              19.333\n            ],\n            [\n              -99.667,\n              19.333\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104,\n              20.6\n            ],\n            [\n              -104,\n              19\n            ],\n            [\n              -100,\n              19\n            ],\n            [\n              -100,\n              20.6\n            ],\n            [\n              -104,\n              20.6\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/volcano-science-center\" data-mce-href=\"https://www.usgs.gov/centers/volcano-science-center\">Volcano Science Center</a><br>U.S. Geological Survey<br>1300 SE Cardinal Court Bldg. 10<br>Vancouver, WA 98683</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Geological Setting and Study Area </li><li>Methodology</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2025-11-20","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Jaimes-Viera, Carmen","contributorId":362361,"corporation":false,"usgs":false,"family":"Jaimes-Viera","given":"Carmen","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":950373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nieto-Torres, Amiel","contributorId":362362,"corporation":false,"usgs":false,"family":"Nieto-Torres","given":"Amiel","affiliations":[{"id":86513,"text":"Millennium Institute on Volcanic Risk Research","active":true,"usgs":false}],"preferred":false,"id":950374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lillian Martin Del Pozzo, Ana","contributorId":362363,"corporation":false,"usgs":false,"family":"Lillian Martin Del Pozzo","given":"Ana","affiliations":[{"id":37714,"text":"Instituto de Geofísica, Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":950375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Germa, Aurelie","contributorId":243359,"corporation":false,"usgs":false,"family":"Germa","given":"Aurelie","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":950737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Connor, Chuck","contributorId":139921,"corporation":false,"usgs":false,"family":"Connor","given":"Chuck","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":950377,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ort, Michael H.","contributorId":156308,"corporation":false,"usgs":false,"family":"Ort","given":"Michael","email":"","middleInitial":"H.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":true,"id":950738,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Layer, Paul","contributorId":194067,"corporation":false,"usgs":false,"family":"Layer","given":"Paul","affiliations":[],"preferred":false,"id":950379,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Benowitz, Jeff","contributorId":269436,"corporation":false,"usgs":false,"family":"Benowitz","given":"Jeff","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":950380,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70272238,"text":"fs20253049 - 2025 - Rare earth elements on the Moon","interactions":[],"lastModifiedDate":"2026-02-03T16:34:02.589564","indexId":"fs20253049","displayToPublicDate":"2025-11-20T10:30:30","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3049","displayTitle":"Rare Earth Elements on the Moon","title":"Rare earth elements on the Moon","docAbstract":"<p>Rare earth elements (REEs) are a scarce but vital resource for our modern economies and lifestyles. Since the late 1990s, China has supplied the vast majority of the world’s refined REEs. Increasing global demand has broadened the search for REE deposits to unconventional places, including the Moon. Although most lunar rocks have very low REE concentrations, Apollo samples showed that one type of lunar rock containing potassium (K), REEs, and phosphorus (P)—known by the acronym KREEP—has high concentrations of REEs. Data from orbiting satellites have identified locations where substantial deposits of KREEP are likely. The viability of mining these deposits depends on the evolution of REE economics, the development of the Earth-Moon infrastructure, and the findings from future lunar mineral exploration missions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253049","usgsCitation":"Keszthelyi, L.P., Coyan, J.A., Pigue, L.M., Bennett, K.A., and Gabriel, T.S.J., 2025, Rare earth elements on the Moon: U.S. Geological Survey Fact Sheet 2025-3049, 4 p., https://doi.org/10.3133/fs20253049.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-177188","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":496650,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3049/fs20253049.pdf","text":"Report","size":"9.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3049 PDF"},{"id":496649,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3049/coverthb.jpg"}],"otherGeospatial":"the Moon","contact":"<p><a href=\"https://www.usgs.gov/centers/astrogeology-science-center\" data-mce-href=\"https://www.usgs.gov/centers/astrogeology-science-center\">Astrogeology Science Center</a><br><a href=\"https://www.usgs.gov/\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>2255 N. Gemini Dr.<br>Flagstaff, AZ 86001</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2025-11-20","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":227,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo","email":"laz@usgs.gov","middleInitial":"P.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":950545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coyan, Joshua A. 0000-0002-8450-7364 jcoyan@usgs.gov","orcid":"https://orcid.org/0000-0002-8450-7364","contributorId":197481,"corporation":false,"usgs":true,"family":"Coyan","given":"Joshua","email":"jcoyan@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pigue, Lori M. 0000-0002-6675-6877","orcid":"https://orcid.org/0000-0002-6675-6877","contributorId":330994,"corporation":false,"usgs":true,"family":"Pigue","given":"Lori","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":950547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Kristen A. 0000-0001-8105-7129","orcid":"https://orcid.org/0000-0001-8105-7129","contributorId":237068,"corporation":false,"usgs":true,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":950548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gabriel, Travis S.J. 0000-0002-9767-4153","orcid":"https://orcid.org/0000-0002-9767-4153","contributorId":267903,"corporation":false,"usgs":true,"family":"Gabriel","given":"Travis","middleInitial":"S.J.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":950549,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274532,"text":"70274532 - 2025 - Quantifying floodplain forest community change following large-scale flood events in the Upper Mississippi River System","interactions":[],"lastModifiedDate":"2026-04-01T16:26:53.395861","indexId":"70274532","displayToPublicDate":"2025-11-20T09:20:20","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":"Quantifying floodplain forest community change following large-scale flood events in the Upper Mississippi River System","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Effects of large-scale flooding on forest composition and structure are a function of flood duration, depth, timing, and frequency. Throughout the Upper Mississippi River System (UMRS), floods in 1993 and 2019 were record-setting events followed by high rates of tree mortality. These events generated interest in species adaptations to flood event characteristics and how forest communities have changed in response to large-scale floods. We investigated associated tree mortality, how the floods differed spatially, and how floodplain forest communities have changed since 1993. Eight UMRS reaches were surveyed in a 1995 study, documenting vegetation species composition, size, and abundance. In 2021, a selection of plots (63%) were revisited and surveyed to quantify 2019 flood effects. For each site, we extracted daily inundation data for flood years and preceding decades from a surface water inundation model. We found post-flood mortality varied spatially and generally reflected inundation duration patterns. Lower latitude reaches experienced longer inundation durations and greater tree mortality in 1993 than in 2019, while higher latitude reaches experienced similar inundation duration and depth and similar mortality between events. Decadal inundation attributes also differed. During 2009–2018, inundation duration was greater and events occurred later than during 1983–1992 in all reaches. Most forest trajectories were&nbsp;</span><i>Acer saccharinum</i><span>-dominated and changed relatively little in species composition and structure. The greatest change in composition occurred at plots with high mortality from the 1993 flood, particularly in more flood-prone locations or where there were many small-diameter individuals. In plots dominated by either&nbsp;</span><i>Quercus</i><span>&nbsp;spp. or&nbsp;</span><i>Populus deltoides</i><span>, species importance shifted toward more shade and flood-tolerant species after 1995 surveys. Self-replacement of these species may be limited by a change in regeneration conditions resulting from an ongoing inundation regime shift in the case of&nbsp;</span><i>Quercus</i><span>&nbsp;spp., or succession to more shade-tolerant species in the case of&nbsp;</span><i>Populus</i><span>&nbsp;communities. Overall, effects on floodplain forests from the two flood events were heterogeneous. In some cases, forest change was likely just as influenced by shifts in flood regime as it was from singular flood events.</span></span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70440","usgsCitation":"Weiss, S.A., Guyon, L.J., De Jager, N.R., Cosgriff, R.J., and Van Appledorn, M., 2025, Quantifying floodplain forest community change following large-scale flood events in the Upper Mississippi River System: Ecosphere, v. 16, no. 11, e70440, 25 p., https://doi.org/10.1002/ecs2.70440.","productDescription":"e70440, 25 p.","ipdsId":"IP-168280","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":502048,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70440","text":"Publisher Index Page"},{"id":501951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi River System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.95959025406495,\n              44.864528650415735\n            ],\n            [\n              -91.03900071075344,\n              42.05364635279252\n            ],\n            [\n              -91.77356103532435,\n              40.00507367513167\n            ],\n            [\n              -90.02194205702455,\n              36.004010100510584\n            ],\n            [\n              -88.88384187139445,\n              36.26259089451513\n            ],\n            [\n              -90.52583463005158,\n              39.94132189789401\n            ],\n            [\n              -89.73636511669805,\n              42.189192561781\n            ],\n            [\n              -91.24649150402311,\n              45.075229707941105\n            ],\n            [\n              -92.95959025406495,\n              44.864528650415735\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiss, Shelby A.","contributorId":368922,"corporation":false,"usgs":false,"family":"Weiss","given":"Shelby","middleInitial":"A.","affiliations":[{"id":55549,"text":"National Great Rivers Research and Education Center","active":true,"usgs":false}],"preferred":false,"id":958115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guyon, Lyle J.","contributorId":215690,"corporation":false,"usgs":false,"family":"Guyon","given":"Lyle","email":"","middleInitial":"J.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":958116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":958117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cosgriff, Robert J.","contributorId":215692,"corporation":false,"usgs":false,"family":"Cosgriff","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":958118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":958119,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272760,"text":"70272760 - 2025 - Structural controls on splay fault rupture dynamics during Cascadia megathrust earthquakes","interactions":[],"lastModifiedDate":"2025-12-08T16:27:04.053909","indexId":"70272760","displayToPublicDate":"2025-11-20T09:20:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7751,"text":"AGU Advances","active":true,"publicationSubtype":{"id":10}},"title":"Structural controls on splay fault rupture dynamics during Cascadia megathrust earthquakes","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Great subduction earthquakes (</span><i>M</i><sub><i>w</i></sub><span>&nbsp;≥&nbsp;8.0) can generate devastating tsunamis by rapidly displacing the seafloor and overlying water column. These potentially tsunamigenic seafloor offsets result from coseismic fault slip and deformation beneath or within the accretionary wedge. The mechanics of these shallow rupture phenomena and their dependence on subduction zone properties remain unresolved, partly due to the sparsity of offshore observations of shallow megathrust earthquake deformation. Here, we analyze how offshore structure influences shallow rupture mechanics and slip partitioning using 3D dynamic earthquake simulations of the Cascadia subduction zone (CSZ) megathrust with and without variably dipping seaward- or landward-vergent splay faults in the wedge that sole into the megathrust. Resulting tradeoffs between splay and megathrust slip reveal structural controls on rupture partitioning, with greater splay slip leading to less shallow megathrust slip updip. Gently dipping and seaward-vergent splays host more slip than those with steeper, landward-vergent splays. To isolate the underlying mechanisms, we compare models with Andersonian and plunging principal stresses. Results suggest distinct static and dynamic processes control the dip- and vergence-dependence of splay rupture: static (mis)alignment relative to far-field tectonic loading favors slip on more optimally oriented, shallowly dipping splay faults. In contrast, dynamic stress interactions of an updip-propagating megathrust rupture front with the free surface and potential branch faults favor forward branching onto seaward-vergent splays and inhibit backward branching onto landward-vergent splays. Resulting seafloor displacements suggest splay fault structure may influence coseismic tsunami source processes, highlighting the importance of dynamically viable rupture scenarios in subduction hazard assessments.</span></span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025AV001812","usgsCitation":"Biemiller, J.B., Gabriel, A., Staisch, L.M., Ulrich, T., Dunham, A., Wirth, E.A., Watt, J., Lucas, M.C., and Ledeczi, A., 2025, Structural controls on splay fault rupture dynamics during Cascadia megathrust earthquakes: AGU Advances, v. 6, no. 6, e2025AV001812, 22 p., https://doi.org/10.1029/2025AV001812.","productDescription":"e2025AV001812, 22 p.","ipdsId":"IP-178619","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":497403,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025av001812","text":"Publisher Index Page"},{"id":497199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Cascadia subduction zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -129.06174594550313,\n              50.792270218333016\n            ],\n            [\n              -123.78891671425012,\n              35.05484640084913\n            ],\n            [\n              -120.83491668887615,\n              36.08348722338981\n            ],\n            [\n              -121.77409533925982,\n              45.94148964580287\n            ],\n            [\n              -124.46022466182565,\n              51.84936657852123\n            ],\n            [\n              -129.06174594550313,\n              50.792270218333016\n            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0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ulrich, Thomas","contributorId":204613,"corporation":false,"usgs":false,"family":"Ulrich","given":"Thomas","email":"","affiliations":[{"id":36958,"text":"LMU Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":951620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunham, Audrey 0000-0001-9719-9287","orcid":"https://orcid.org/0000-0001-9719-9287","contributorId":361490,"corporation":false,"usgs":true,"family":"Dunham","given":"Audrey","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":207853,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951622,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Watt, Janet 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":221271,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":951623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lucas, Madeleine C.","contributorId":336741,"corporation":false,"usgs":false,"family":"Lucas","given":"Madeleine","middleInitial":"C.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":951624,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ledeczi, Anna","contributorId":336740,"corporation":false,"usgs":false,"family":"Ledeczi","given":"Anna","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":951625,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70272630,"text":"70272630 - 2025 - Systematic approach to prioritize wells for effective groundwater monitoring and management in the Arkansas Headwaters Basin, Colorado, USA","interactions":[],"lastModifiedDate":"2025-11-26T15:19:53.684111","indexId":"70272630","displayToPublicDate":"2025-11-20T09:11:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Systematic approach to prioritize wells for effective groundwater monitoring and management in the Arkansas Headwaters Basin, Colorado, USA","docAbstract":"<div id=\"abs0010\"><h3 id=\"sect0010\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Study region</h3><div id=\"sp0100\" class=\"u-margin-s-bottom\">The Arkansas Headwaters Basin, an intermountain basin in the Southern Rocky Mountains of North America.</div></div><div id=\"abs0015\"><h3 id=\"sect0015\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Study focus</h3><div id=\"sp0105\" class=\"u-margin-s-bottom\">Our specific focus is choosing a set of wells to support a possible future regional groundwater-surface water model that would support water management. We present a three-step process using multiple criteria to score, predict, and choose prioritized wells that capture the full distribution of data including extremes. The three-step process provides accessible visualizations, fiscally efficient well prioritization, and screening useful for subsequent groundwater modeling. The novelty of the proposed methodology is the systematic approach integrating a scoring and a predictive approach to support a selection path. The systematic approach may be broadly adapted for other basins.</div></div><div id=\"abs0020\"><h3 id=\"sect0020\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">New hydrological insights for the region</h3><div id=\"sp0110\" class=\"u-margin-s-bottom\">Understanding regional hydrology hinges on efficient collection of hydrologic data that captures the relevant dynamics including extremes. The present study, a case study for a particular basin in the Southern Rocky Mountains, is the first use of a scripted (R software) strategy to select an economical and representative set of monitoring wells. Our findings suggest caution when using proximity as a proxy for correlation, because proximal wells in the same geologic formation and similar depths are not always correlated. In the Arkansas Headwaters Basin, subsurface geology may be less influential on groundwater elevations than broader hydrologic influences, such as regional drought.</div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2025.102910","usgsCitation":"Fahrney, E.E., Mays, D.C., and Newman, C.P., 2025, Systematic approach to prioritize wells for effective groundwater monitoring and management in the Arkansas Headwaters Basin, Colorado, USA: Journal of Hydrology: Regional Studies, v. 62, 102910, 24 p., https://doi.org/10.1016/j.ejrh.2025.102910.","productDescription":"102910, 24 p.","ipdsId":"IP-167443","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":496939,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2025.102910","text":"Publisher Index Page"},{"id":496903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Arkansas Headwaters Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.6,\n              39.4\n            ],\n            [\n              -106.6,\n              38.4\n            ],\n            [\n              -105.9,\n              38.4\n            ],\n            [\n              -105.9,\n              39.4\n            ],\n            [\n              -106.6,\n              39.4\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"62","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fahrney, Eleanor E.","contributorId":363059,"corporation":false,"usgs":false,"family":"Fahrney","given":"Eleanor","middleInitial":"E.","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":951045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mays, David C. 0000-0002-5218-1670","orcid":"https://orcid.org/0000-0002-5218-1670","contributorId":363060,"corporation":false,"usgs":false,"family":"Mays","given":"David","middleInitial":"C.","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":951046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":951047,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272237,"text":"ofr20251049 - 2025 - Geomorphic habitat response units for urban stream rehabilitation, Milwaukee, Wisconsin","interactions":[],"lastModifiedDate":"2026-02-03T16:33:10.051874","indexId":"ofr20251049","displayToPublicDate":"2025-11-20T08:55:51","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1049","displayTitle":"Geomorphic Habitat Response Units for Urban Stream Rehabilitation, Milwaukee, Wisconsin","title":"Geomorphic habitat response units for urban stream rehabilitation, Milwaukee, Wisconsin","docAbstract":"<p>Urban stream rehabilitation plans can benefit from knowledge of the landscape setting and vegetative communities that were adjacent to streams prior to urbanization. Downstream to upstream connections of these characteristics can be relevant for native migratory fish species that have a range of preferred spawning habitats. Based on a need for more quantitative data on these potential connections, the U.S. Geological Survey assembled geomorphic characteristics, surficial geology, and pre-Euro-American settlement vegetation for 333 kilometers of stream segments in the Kinnickinnic River and Menomonee River subbasins of the Milwaukee River, Wisconsin. Channel slopes ranged from less than 0.3 percent to greater than 2 percent, covering at least two channel morphology and bedform types spanning low-energy irregular and pool-riffle complexes. Postglacial surficial geology ranged from coarse-grained outwash sand and gravel to lacustrine silt and clay, allowing for a range of stream substrate sizes. Presettlement riparian vegetation was mainly forest, including forested uplands, forested lowlands, and to a lesser extent, conifer-dominated wetlands in headwaters. This resulting framework of geomorphic habitat response units can be used for habitat rehabilitation projects for migratory native fish in other urban Great Lakes tributaries.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251049","collaboration":"Prepared in cooperation with Milwaukee Metropolitan Sewerage District and the University of Wisconsin","usgsCitation":"Fitzpatrick, F.A., Sterner, S.P., Blount, J.D., and Stewart, J.S., 2025, Geomorphic habitat response units for urban stream rehabilitation, Milwaukee, Wisconsin: U.S. Geological Survey Open-File Report 2025–1049, 17 p., https://doi.org/10.3133/ofr20251049.","productDescription":"Report: vi, 17 p.; Data Release","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154626","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":496620,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90S2FMB","text":"USGS data release","linkHelpText":"Geomorphic habitat response units attributes for the Wisconsin DNR 24k hydrography flowline network in the Milwaukee River Basin, Wisconsin"},{"id":496619,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1049/ofr20251049.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1049 XML"},{"id":496615,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1049/coverthb.jpg"},{"id":496616,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1049/ofr20251049.pdf","text":"Report","size":"7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025–1049"},{"id":496617,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1049/images"},{"id":496618,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251049/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025–1049 HTML"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.21,\n              43.3\n            ],\n            [\n              -88.21,\n              42.8\n            ],\n            [\n              -87.8,\n              42.8\n            ],\n            [\n              -87.8,\n              43.3\n            ],\n            [\n              -88.21,\n              43.3\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/umid-water\" data-mce-href=\"https://www.usgs.gov/centers/umid-water\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>1 Gifford Pinchot Dr.<br>Madison, WI 53726</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Plain Language Summary</li><li>Introduction</li><li>Methods</li><li>Geomorphic Habitat Response Units</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-11-20","noUsgsAuthors":false,"plainLanguageSummary":"<p>The U.S. Geological Survey intersected stream network geomorphic characteristics with maps of original pre-Euro-American settlement vegetation, surficial geology, and land-use attributes for the Kinnickinnic River and Menomonee River subbasins of the Milwaukee River Basin in eastern Wisconsin. The resulting framework of geomorphic habitat response units can be used for planning, designing, and evaluating ongoing and future native fish passage and spawning habitat rehabilitation projects in other urban areas where concrete-lined channels are being replaced with more natural counterparts.</p>","publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209516,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"fafitzpa@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sterner, Shelby P. 0000-0002-3103-7960","orcid":"https://orcid.org/0000-0002-3103-7960","contributorId":292246,"corporation":false,"usgs":true,"family":"Sterner","given":"Shelby","email":"","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blount, James D. 0000-0002-0006-3947 jblount@usgs.gov","orcid":"https://orcid.org/0000-0002-0006-3947","contributorId":200231,"corporation":false,"usgs":true,"family":"Blount","given":"James","email":"jblount@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, Jana S. 0000-0002-8121-1373","orcid":"https://orcid.org/0000-0002-8121-1373","contributorId":211037,"corporation":false,"usgs":true,"family":"Stewart","given":"Jana","middleInitial":"S.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950542,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272629,"text":"70272629 - 2025 - MIMAR-Net: Multiscale Inception-based Manhattan Attention Residual Network and its application to underwater image super-resolution","interactions":[],"lastModifiedDate":"2025-11-26T14:12:30.52052","indexId":"70272629","displayToPublicDate":"2025-11-20T08:10:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":22985,"text":"Electronics","active":true,"publicationSubtype":{"id":10}},"title":"MIMAR-Net: Multiscale Inception-based Manhattan Attention Residual Network and its application to underwater image super-resolution","docAbstract":"<p><span>In recent years, Single-Image Super-Resolution (SISR) has gained significant attention in the geoscience and remote sensing community for its potential to improve the resolution of low-quality underwater imagery. This paper introduces MIMAR-Net (</span><strong>M</strong><span>ultiscale&nbsp;</span><strong>I</strong><span>nception-based&nbsp;</span><strong>M</strong><span>anhattan&nbsp;</span><strong>A</strong><span>ttention&nbsp;</span><strong>R</strong><span>esidual Network), a new deep learning architecture designed to increase the spatial resolution of input color images. MIMAR-Net integrates a multiscale inception module, cascaded residue learning, and advanced attention mechanisms, such as the MaSA layer, to capture both local and global contextual information effectively. By utilizing multiscale processing and advanced attention strategies, MIMAR-Net allows us to handle the complexities of underwater environments with precision and robustness. We evaluate the model on three popular underwater image datasets, namely UFO-120, USR-248, and EUVP, and perform extensive comparisons against state-of-the-art methods. Experimental results demonstrate that MIMAR-Net consistently outperforms existing approaches, achieving superior qualitative and quantitative improvements in image quality, making it a reliable solution for underwater image enhancement in various challenging scenarios.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/electronics14224544","usgsCitation":"Zahan, N., Paheding, S., Saleem, A., Havens, T.C., and Esselman, P., 2025, MIMAR-Net: Multiscale Inception-based Manhattan Attention Residual Network and its application to underwater image super-resolution: Electronics, v. 14, no. 22, 4544, 24 p., https://doi.org/10.3390/electronics14224544.","productDescription":"4544, 24 p.","ipdsId":"IP-175539","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":496934,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/electronics14224544","text":"Publisher Index Page"},{"id":496897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"22","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Zahan, Nusrat","contributorId":363057,"corporation":false,"usgs":false,"family":"Zahan","given":"Nusrat","affiliations":[{"id":86604,"text":"Fairfield University","active":true,"usgs":false}],"preferred":false,"id":951040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paheding, Sidike","contributorId":347829,"corporation":false,"usgs":false,"family":"Paheding","given":"Sidike","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":951041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saleem, Ashraf","contributorId":347827,"corporation":false,"usgs":false,"family":"Saleem","given":"Ashraf","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":951042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Havens, Timothy C.","contributorId":363058,"corporation":false,"usgs":false,"family":"Havens","given":"Timothy","middleInitial":"C.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":951043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":951044,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274000,"text":"70274000 - 2025 - Local adaptation to climate has facilitated the global invasion of cheatgrass","interactions":[],"lastModifiedDate":"2026-02-20T17:55:59.039328","indexId":"70274000","displayToPublicDate":"2025-11-20T07:30:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Local adaptation to climate has facilitated the global invasion of cheatgrass","docAbstract":"<p>Local adaptation may facilitate range expansion during invasions, but the mechanisms promoting destructive invasions remain unclear. Cheatgrass (<i>Bromus tectorum</i>), native to Eurasia and Africa, has invaded globally, with particularly severe impacts in western North America. We aimed to identify mechanisms and consequences of local adaptation in the North American cheatgrass invasion. We sequenced 307 range-wide genotypes and conducted controlled experiments. We found that diverse lineages invaded North America, where long-distance gene flow is common. Nearly half of North American cheatgrass is comprised of a mosaic of ~19 locally adapted near clonal genotypes, each seemingly very successful in a different part of its range. Additionally, ancestry- and phenotype- environment clines in the native range predicted those in the invaded range, indicating pre-adapted genotypes colonized different regions. Common gardens showed directional selection on flowering time that reversed between warm and cold sites, potentially maintaining clines. In the Great Basin, genomic predictions of strong local adaptation identified sites where cheatgrass is most dominant. Our results indicate that multiple introductions and ongoing migration within the invaded range likely fueled pre-adaptation and subsequent dominance of cheatgrass in western North America. 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Alexandr","contributorId":366930,"corporation":false,"usgs":false,"family":"Stanislavschi","given":"Alexandr","affiliations":[],"preferred":false,"id":956384,"contributorType":{"id":1,"text":"Authors"},"rank":44},{"text":"Starzomski, Brian M.","contributorId":175321,"corporation":false,"usgs":false,"family":"Starzomski","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":956385,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Stone, Rachel L.","contributorId":28825,"corporation":false,"usgs":true,"family":"Stone","given":"Rachel","middleInitial":"L.","affiliations":[],"preferred":false,"id":956386,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Turner, Kathryn G.","contributorId":77426,"corporation":false,"usgs":true,"family":"Turner","given":"Kathryn","middleInitial":"G.","affiliations":[],"preferred":false,"id":956387,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Urza, Alexandra K. 0000-0001-9795-6735","orcid":"https://orcid.org/0000-0001-9795-6735","contributorId":261259,"corporation":false,"usgs":false,"family":"Urza","given":"Alexandra","email":"","middleInitial":"K.","affiliations":[{"id":16848,"text":"USDA Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":956388,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"VanWallendael, Acer","contributorId":366933,"corporation":false,"usgs":false,"family":"VanWallendael","given":"Acer","affiliations":[],"preferred":false,"id":956389,"contributorType":{"id":1,"text":"Authors"},"rank":49},{"text":"Wegenschimmel, Carl-Adam","contributorId":366934,"corporation":false,"usgs":false,"family":"Wegenschimmel","given":"Carl-Adam","affiliations":[],"preferred":false,"id":956390,"contributorType":{"id":1,"text":"Authors"},"rank":50},{"text":"Zweck, Justin","contributorId":366935,"corporation":false,"usgs":false,"family":"Zweck","given":"Justin","affiliations":[],"preferred":false,"id":956391,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Brown, Cynthia S.","contributorId":302847,"corporation":false,"usgs":false,"family":"Brown","given":"Cynthia S.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":956392,"contributorType":{"id":1,"text":"Authors"},"rank":52},{"text":"Leger, Elizabeth A.","contributorId":360624,"corporation":false,"usgs":false,"family":"Leger","given":"Elizabeth","middleInitial":"A.","affiliations":[{"id":86065,"text":"Department of Biology, University of Nevada, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":false,"id":956393,"contributorType":{"id":1,"text":"Authors"},"rank":53},{"text":"Blumenthal, Dana M.","contributorId":83411,"corporation":false,"usgs":true,"family":"Blumenthal","given":"Dana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":956394,"contributorType":{"id":1,"text":"Authors"},"rank":54},{"text":"Germino, Matthew 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":218007,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":956086,"contributorType":{"id":1,"text":"Authors"},"rank":55},{"text":"Porensky, Lauren M. 0000-0001-6883-2442","orcid":"https://orcid.org/0000-0001-6883-2442","contributorId":239755,"corporation":false,"usgs":false,"family":"Porensky","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":956395,"contributorType":{"id":1,"text":"Authors"},"rank":56},{"text":"Hooten, Mevin B.","contributorId":341172,"corporation":false,"usgs":false,"family":"Hooten","given":"Mevin B.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":956396,"contributorType":{"id":1,"text":"Authors"},"rank":57},{"text":"Adler, Peter B.","contributorId":338091,"corporation":false,"usgs":false,"family":"Adler","given":"Peter B.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":956397,"contributorType":{"id":1,"text":"Authors"},"rank":58},{"text":"Lasky, Jesse R.","contributorId":338090,"corporation":false,"usgs":false,"family":"Lasky","given":"Jesse","email":"","middleInitial":"R.","affiliations":[{"id":24698,"text":"PSU","active":true,"usgs":false}],"preferred":false,"id":956398,"contributorType":{"id":1,"text":"Authors"},"rank":59}]}}
,{"id":70271405,"text":"sir20255017 - 2025 - Groundwater response to managed aquifer recharge at the Southeast Houghton Artificial Recharge Project in Tucson, Arizona","interactions":[],"lastModifiedDate":"2026-02-03T16:32:26.605397","indexId":"sir20255017","displayToPublicDate":"2025-11-19T11:56:06","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5017","displayTitle":"Groundwater Response to Managed Aquifer Recharge at the Southeast Houghton Artificial Recharge Project in Tucson, Arizona","title":"Groundwater response to managed aquifer recharge at the Southeast Houghton Artificial Recharge Project in Tucson, Arizona","docAbstract":"<p>Managed aquifer recharge is a widespread practice for storing water in the subsurface as groundwater. At a managed aquifer recharge facility in southern Arizona, groundwater-level and repeat microgravity data were collected to monitor aquifer response. These data were used to inform parameter identification for an unsaturated-zone flow model used to simulate the recharge process. The facility, the Southeast Houghton Artificial Recharge Project (SHARP), consists of 3 surface basins (about 27,600 square meters [6.8 acres] total surface area) where recycled water is distributed in recharge cycles lasting several months, with dry periods in between. During the study period, December 2020–December 2022, Tucson Water (the City of Tucson’s water utility) reported 6.56×10<sup>6</sup> cubic meters of water (5,320 acre-feet) recharged.</p><p>Monitoring included groundwater-level observations at 3 monitoring wells and repeat microgravity measurements at as many as 22 locations (some stations were destroyed between surveys). Six gravity surveys were carried out using absolute- and relative-gravity meters. Large gravity increases, more than 250 microgals, were observed during the first repeat survey, 3.5 months after the start of recharge, but only in the immediate vicinity of the recharge basins. Data show that water moved downward to the water table, and storage changes in the unsaturated zone away from the facility were likely minimal. Gravity decreased at stations more than 1 kilometer from the facility, consistent with regional groundwater-level changes. Groundwater-level increases in wells adjacent to the recharge basins began 2 months after the second repeat gravity survey, and 5.5 months after recharge began.</p><p>Unsaturated-zone flow modeling was carried out using software that simulates water movement and parameter estimation. Model calibration was carried out by minimizing an objective function calculated from the differences between simulated and observed groundwater levels, and between simulated and observed repeat microgravity data. Including repeat microgravity data in the objective function reduced the uncertainty in estimated parameter values for saturated hydraulic conductivity and saturated water content. Modeling indicated that the unsaturated zone between the recharge basins and the water table does not become saturated even after 685 days of simulated infiltration. This gradual wetting may account for increasing infiltration rates over time, as hydraulic conductivity increases with increasing water content. Unsaturated-zone water content decreased rapidly between recharge cycles. Model-simulated groundwater mounding extended about 1 kilometer from the center of SHARP after the 685-day period following the onset of recharge.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255017","collaboration":"Prepared in cooperation with Tucson Water","programNote":"Water Availability and Use Program","usgsCitation":"Wildermuth, L.M., Kennedy, J.R., and Conrad, J.L., 2025, Groundwater response to managed aquifer recharge at the Southeast Houghton Artificial Recharge Project in Tucson, Arizona: U.S. Geological Survey Scientific Investigations\nReport 2025–5017, 38 p., https://doi.org/10.3133/sir20255017.","productDescription":"Report: v, 38 p.; Data Release","numberOfPages":"38","onlineOnly":"Y","ipdsId":"IP-152298","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":497795,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118986.htm"},{"id":495375,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E19SSK","text":"USGS data release","description":"Landrum, M.T., 2021, Repeat microgravity data from South Houghton Area Recharge Project, Tucson, Arizona, 2020-2022 (ver. 2.0, August 2024): U.S. Geological Survey data release, https://doi.org/10.5066/P9E19SSK.","linkHelpText":"Repeat microgravity data from South Houghton Area Recharge Project, Tucson, Arizona, 2020-2022 (ver. 2.0, August 2024)"},{"id":495371,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5017/sir20255017.pdf","text":"Report","size":"35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5017 PDF"},{"id":495370,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5017/coverthb.jpg"},{"id":495372,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255017/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5017 HTML"},{"id":495374,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5017/images"},{"id":495373,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5017/sir20255017.XML","description":"SIR 2025-5017 XML"}],"country":"United States","state":"Arizona","city":"Tucson","otherGeospatial":"Southeast Houghton Artificial Recharge Project","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.758333,\n              32.159722\n            ],\n            [\n              -110.758333,\n              32.141667\n            ],\n            [\n              -110.791667,\n              32.141667\n            ],\n            [\n              -110.791667,\n              32.159722\n            ],\n            [\n              -110.758333,\n              32.159722\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/arizona-water-science-center/connect\" data-mce-href=\"https://www.usgs.gov/centers/arizona-water-science-center/connect\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/az-water\" data-mce-href=\"https://www.usgs.gov/centers/az-water\">Arizona Water Science Center</a><br><a href=\"https://www.usgs.gov/\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Setting</li><li>Methods</li><li>Results</li><li>Summary</li><li>References Cited</li><li>Appendix 1</li><li>Appendix 2</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2025-11-19","noUsgsAuthors":false,"publicationDate":"2025-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Wildermuth, Libby M. 0000-0001-5333-0968 lwildermuth@usgs.gov","orcid":"https://orcid.org/0000-0001-5333-0968","contributorId":210459,"corporation":false,"usgs":true,"family":"Wildermuth","given":"Libby","email":"lwildermuth@usgs.gov","middleInitial":"M.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":176478,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":948601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conrad, Jacob L. 0000-0001-8112-5355","orcid":"https://orcid.org/0000-0001-8112-5355","contributorId":260658,"corporation":false,"usgs":true,"family":"Conrad","given":"Jacob","email":"","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":948602,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272242,"text":"70272242 - 2025 - Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model","interactions":[{"subject":{"id":70265535,"text":"70265535 - 2025 - A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model","indexId":"70265535","publicationYear":"2025","noYear":false,"title":"A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model"},"predicate":"SUPERSEDED_BY","object":{"id":70272242,"text":"70272242 - 2025 - Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model","indexId":"70272242","publicationYear":"2025","noYear":false,"title":"Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model"},"id":1}],"lastModifiedDate":"2025-11-20T15:20:53.215674","indexId":"70272242","displayToPublicDate":"2025-11-19T08:15:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model","docAbstract":"<p><span>Despite their ubiquity and importance as freshwater habitat, small headwater streams are under-monitored by existing stream gage networks. To address this gap, we describe a low-cost, non-contact, and low-effort method that enables organizations to monitor relative streamflow dynamics in small headwater streams. The method uses a camera to capture repeat images of the stream from a fixed position. A person then annotates pairs of images, in each case indicating which image has more apparent streamflow or indicating equal flow if no difference is discernible. A deep learning modeling framework called streamflow rank estimation (SRE) is then trained on the annotated image pairs and applied to rank all images from highest to lowest apparent streamflow. From this result a relative hydrograph can be derived. We found that our modeled relative hydrograph dynamics matched the observed hydrograph dynamics well for 11 cameras at 8 streamflow sites in western Massachusetts. Higher performance was observed during the annotation period (median Kendall's Tau rank correlation of 0.75, with a range of 0.6–0.83) than after it (median Kendall's Tau of 0.59, with range 0.34–0.74). We found that annotation performance was generally consistent across the 11 camera sites and 2 individual annotators and was positively correlated with streamflow variability at a site. A scaling simulation determined that model performance improvements were limited after 1000 annotation pairs. Our model's estimates of relative flow, while not equivalent to absolute flow, may still be useful for many applications, such as ecological modeling and calculating event-based hydrological statistics (e.g., the number of out-of-bank floods). We anticipate that this method will be a valuable tool to extend existing stream monitoring networks and provide new insights on dynamic headwater systems.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-29-6445-2025","usgsCitation":"Goodling, P.J., Fair, J.H., Gupta, A., Walker, J.D., Dubreuil, T., Hayden, M.J., and Letcher, B., 2025, Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model: Hydrology and Earth System Sciences, v. 29, no. 22, p. 6445-6460, https://doi.org/10.5194/hess-29-6445-2025.","productDescription":"16 p.","startPage":"6445","endPage":"6460","ipdsId":"IP-179122","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":496753,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-29-6445-2025","text":"Publisher Index Page"},{"id":496681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"western Massachusetts","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -72.82742857720734,\n              42.73921316092924\n            ],\n            [\n              -72.82742857720734,\n              42.42241182456118\n            ],\n            [\n              -72.32535093532236,\n              42.42241182456118\n            ],\n            [\n              -72.32535093532236,\n              42.73921316092924\n            ],\n            [\n              -72.82742857720734,\n              42.73921316092924\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"29","issue":"22","noUsgsAuthors":false,"publicationDate":"2025-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodling, Phillip J. 0000-0001-5715-8579","orcid":"https://orcid.org/0000-0001-5715-8579","contributorId":239738,"corporation":false,"usgs":true,"family":"Goodling","given":"Phillip","email":"","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fair, Jennifer H. 0000-0002-9902-1893","orcid":"https://orcid.org/0000-0002-9902-1893","contributorId":245941,"corporation":false,"usgs":true,"family":"Fair","given":"Jennifer","middleInitial":"H.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gupta, Amrita 0000-0003-2643-5865","orcid":"https://orcid.org/0000-0003-2643-5865","contributorId":264600,"corporation":false,"usgs":false,"family":"Gupta","given":"Amrita","email":"","affiliations":[{"id":54512,"text":"Georgia Institute of Techniology","active":true,"usgs":false}],"preferred":false,"id":950552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Jeffrey D. 0000-0003-1923-6550","orcid":"https://orcid.org/0000-0003-1923-6550","contributorId":244114,"corporation":false,"usgs":false,"family":"Walker","given":"Jeffrey","middleInitial":"D.","affiliations":[{"id":48839,"text":"Walker Environmental Research LLC","active":true,"usgs":false}],"preferred":false,"id":950553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dubreuil, Todd 0000-0003-0189-4336","orcid":"https://orcid.org/0000-0003-0189-4336","contributorId":217872,"corporation":false,"usgs":true,"family":"Dubreuil","given":"Todd","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":950554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayden, Michael J. 0000-0002-9010-6831","orcid":"https://orcid.org/0000-0002-9010-6831","contributorId":291388,"corporation":false,"usgs":true,"family":"Hayden","given":"Michael","middleInitial":"J.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":950555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":315442,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin H.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":950556,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70272456,"text":"70272456 - 2025 - Aridity reduces lag times between aquatic and terrestrial dry-down among watersheds and across years in the northwest US","interactions":[],"lastModifiedDate":"2025-11-21T18:28:47.238214","indexId":"70272456","displayToPublicDate":"2025-11-18T12:22:05","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":"Aridity reduces lag times between aquatic and terrestrial dry-down among watersheds and across years in the northwest US","docAbstract":"<p><span>Landscapes encompass both aquatic and terrestrial ecosystems that experience the same climate but may respond to climate in divergent ways. For example, the time lag between seasonal dry-down of terrestrial soil moisture and decline in streamflow has important implications for species and ecosystem processes across the aquatic–terrestrial interface. How these lags between aquatic and terrestrial hydrology vary with climate and spatial location within watersheds remains largely unexplored. Here, we examine seasonal patterns of aquatic–terrestrial dry-down across seven watersheds in the northwestern USA, spanning a wide range of aridity. We compared daily streamflow data from USGS gages at watershed outlets with simulated daily soil moisture (1979–2020) from multiple locations within each watershed. In all watersheds, annual dry cycles progressed sequentially through the following features: evapotranspiration, precipitation, shallow soil moisture, deep soil moisture, and finally streamflow. Seasonal streamflow minima lagged behind soil moisture minima for shorter durations in more arid watersheds and drier years. Within watersheds, lag times varied spatially due to interactions between elevation and aridity, with short lags in low-elevation soils near streams in arid watersheds and longer lags in less arid watersheds. Collectively, these results indicate shorter lags between seasonal aquatic and terrestrial dry periods in drier watersheds and years, and show that these tighter linkages are spatially aggregated in drier watersheds. The co-occurrence of seasonally dry conditions in both aquatic and terrestrial systems under increasing aridification is likely to intensify stressors on ecosystems and services. Recognizing these patterns may be critical for predicting ecosystem vulnerabilities and informing adaptation strategies to mitigate the impacts of seasonally dry conditions.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70413","usgsCitation":"Butterfield, B.J., Schlaepfer, D.R., Al-Chokhachy, R., Dunham, J., Groom, J.D., Muhlfeld, C.C., Torgersen, C.E., and Bradford, J., 2025, Aridity reduces lag times between aquatic and terrestrial dry-down among watersheds and across years in the northwest US: Ecosphere, v. 16, no. 11, e70413, 14 p., https://doi.org/10.1002/ecs2.70413.","productDescription":"e70413, 14 p.","ipdsId":"IP-176106","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":49226,"text":"Northwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":496924,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70413","text":"Publisher Index Page"},{"id":496783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Oregon, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.53311834886665,\n              48.954786193006896\n            ],\n            [\n              -119.53311834886665,\n              42.09524314878942\n            ],\n            [\n              -108.45919024142043,\n              42.09524314878942\n            ],\n            [\n              -108.45919024142043,\n              48.954786193006896\n            ],\n  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D.","contributorId":362928,"corporation":false,"usgs":false,"family":"Groom","given":"Jeremiah","middleInitial":"D.","affiliations":[{"id":86575,"text":"Groom Analytics LLC, 1975 SE Crystal Lake Dr., Unit 173, Corvallis, OR 97333","active":true,"usgs":false}],"preferred":false,"id":950822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950823,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 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,{"id":70271480,"text":"sir20255055 - 2025 - An inset groundwater-flow model to evaluate the effects of layering configuration on model calibration and assess managed aquifer recharge near Shellmound, Mississippi","interactions":[],"lastModifiedDate":"2026-02-03T16:31:45.919091","indexId":"sir20255055","displayToPublicDate":"2025-11-18T12:06:15","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5055","displayTitle":"An Inset Groundwater-Flow Model to Evaluate the Effects of Layering Configuration on Model Calibration and Assess Managed Aquifer Recharge near Shellmound, Mississippi","title":"An inset groundwater-flow model to evaluate the effects of layering configuration on model calibration and assess managed aquifer recharge near Shellmound, Mississippi","docAbstract":"<p>The U.S. Geological Survey has developed a high-resolution inset groundwater-flow model in the Mississippi Delta as part of an interdisciplinary collaboration coordinated by the Mississippi Alluvial Plain project to provide a tool that stakeholders can use to support water-resource management decisions. Groundwater withdrawals from the Mississippi River Valley alluvial (MRVA) aquifer have been vital to support agricultural production in the region, but substantial groundwater-level declines near Shellmound, Mississippi, have caused concerns for long-term sustainability of the aquifer. To better understand the subsurface and try to mitigate the long-term groundwater-level declines, stakeholders have undertaken actions including a Groundwater Transfer and Injection Pilot (GTIP) project using a riverbank filtration-based managed aquifer recharge approach. The pilot project consisted of extracting groundwater near the Tallahatchie River and reinjecting it into the aquifer 3 kilometers west where water levels have substantially declined. A high-resolution airborne electromagnetic (AEM) survey was also completed to collect electrical resistivity data to support the GTIP project and the development of the groundwater model.</p><p>The inset groundwater-flow model was developed to (1) integrate the AEM data into the optimal layering configuration of the MRVA aquifer that the available observation data can support through calibration, and (2) assess the potential effect of the GTIP project on the groundwater levels. The AEM data were processed into three different layering configurations leading to the development of model A (18 layers), model B (16 layers), and model C (8 layers), all at a 100- x 100-meter cell spatial resolution using the U.S. Geological Survey modular finite-difference flow model 6 code with Newton-Raphson formulation. The model development process integrated recent advances in modeling, such as the incorporation of AEM data, the use of outputs from the soil-water-balance (SWB) model, and the Aquaculture and Irrigation Water-Use Model, and was facilitated by robust automation using the open-source python packages Modflow-setup and SFRmaker. Using Parameter Estimation ++ Iterative Ensemble Smoother, the three numerical groundwater-flow models (models A, B, and C) were calibrated against a set of observations, which included aquifer groundwater levels, streamflows, stream stage, and aquifer transmissivity. Results indicate that the detailed representation of MRVA aquifer layers in model A produced the best calibrated model by history matching, and the integration of data representing surficial connectivity played a key role in improving groundwater recharge and enhancing the ability of the model to match groundwater levels in the cone of depression. A forecast model simulated the managed aquifer recharge approach, and the results indicated that, given average irrigation and recharge conditions (2010–15), the GTIP project has the potential to induce groundwater-level increases of as much as 3 meters around the injection site, but a sustained increase would require repetition in subsequent years of water transfer at 2022 rates or above.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255055","collaboration":"Prepared in cooperation with U.S. Department of Agriculture Agricultural Research Service and the Mississippi Department of Environmental Quality","programNote":"Water Availability and Use Science Program","usgsCitation":"Guira, M., Traylor, J.P., Leaf, A.T., and Weisser, A.R., 2025, An inset groundwater-flow model to evaluate the effects of layering configuration on model calibration and assess managed aquifer recharge near Shellmound, Mississippi: U.S. Geological Survey Scientific Investigations Report 2025–5055, 134 p., https://doi.org/10.3133/sir20255055.","productDescription":"Report: ix, 134 p.; 3 Figures: 11.00 x 8.50 inches; Data Release; Dataset","numberOfPages":"148","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154357","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"links":[{"id":497793,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118974.htm"},{"id":495719,"rank":8,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2025/5055/downloads/","text":"Layered figures","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"Downloadable layered PDF files for figures 11, 12, and 13"},{"id":495626,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13DWA86","text":"USGS data release","linkHelpText":"Inset models used to evaluate the effects of layering configuration on model calibration from 1900 to 2018, and assess managed aquifer recharge near Shellmound, Mississippi, from 2019 to 2050"},{"id":495670,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255055/full"},{"id":495623,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5055/sir20255055.XML"},{"id":495622,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5055/sir20255055.pdf","text":"Report","size":"40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5055"},{"id":495625,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":495624,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5055/images/"},{"id":495621,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5055/coverthb.jpg"}],"country":"United States","state":"Mississippi","city":"Shellmound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.55,\n              33.8\n            ],\n            [\n              -90.55,\n              33.5\n            ],\n            [\n              -90.1667,\n              33.5\n            ],\n            [\n              -90.1667,\n              33.8\n            ],\n            [\n              -90.55,\n              33.8\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/ne-water\" data-mce-href=\"https://www.usgs.gov/centers/ne-water\">Nebraska Water Science Center</a><br>U.S. Geological Survey<br>5231 South 19th Street<br>Lincoln, NE 68512</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Shellmound Groundwater-Flow Model</li><li>Managed Aquifer Recharge Scenario and Simulated Results</li><li>Assumptions and Limitations</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Additional Calibration Results from Model A</li><li>Appendix 2. Calibration and Modeling Results for Model B and Model C</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-11-18","noUsgsAuthors":false,"publicationDate":"2025-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Guira, Moussa 0000-0001-6020-533X","orcid":"https://orcid.org/0000-0001-6020-533X","contributorId":208456,"corporation":false,"usgs":true,"family":"Guira","given":"Moussa","email":"","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Traylor, Jonathan P. 0000-0002-2008-1923 jtraylor@usgs.gov","orcid":"https://orcid.org/0000-0002-2008-1923","contributorId":5322,"corporation":false,"usgs":true,"family":"Traylor","given":"Jonathan","email":"jtraylor@usgs.gov","middleInitial":"P.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weisser, Alec R. 0000-0002-1550-2922","orcid":"https://orcid.org/0000-0002-1550-2922","contributorId":345765,"corporation":false,"usgs":true,"family":"Weisser","given":"Alec","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":948898,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272189,"text":"fs20253013 - 2025 - Plate tectonics and volcanism in western California","interactions":[],"lastModifiedDate":"2026-02-03T16:31:01.118248","indexId":"fs20253013","displayToPublicDate":"2025-11-18T09:42:57","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3013","displayTitle":"Plate Tectonics and Volcanism in Western California","title":"Plate tectonics and volcanism in western California","docAbstract":"<h1>Introduction&nbsp;</h1><p>Western California is home to a variety of volcanic rocks. The locations, ages, and chemical compositions of these volcanic rocks help tell part of the fascinating story of California’s plate tectonic evolution over the past 40 million years. These volcanic rocks are a product of multiple tectonic processes, including subduction of divergent and transform plate boundaries beneath continental North America, opening of a slab window, creation and migration of a tectonic triple junction, and the birth and growth of the San Andreas Fault. This fact sheet explains these tectonic processes and discusses their role in shaping the volcanic history of western California over the past 40 million years. By studying the volcanic rock record in western California, geologists are able to piece together how regional volcanism and plate tectonics are linked in space and time. Recognizing this linkage helps scientists to understand possible future volcanism in the region, potential hazards associated with this volcanism, and the impacts these hazards may have on population and infrastructure. The U.S. Geological Survey California Volcano Observatory (CalVO) closely monitors the parts of western California with the greatest potential for volcanism.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253013","usgsCitation":"Burgess, S., 2025, Plate tectonics and volcanism in western California: U.S. Geological Survey Fact Sheet 2025–3013, 4 p., https://doi.org/10.3133/fs20253013.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-163622","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":496594,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3013/fs20253013.pdf","text":"Report","size":"4.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3013 PDF"},{"id":496593,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3013/coverthb.jpg"},{"id":497792,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118954.htm"}],"country":"United States","state":"California","otherGeospatial":"western California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.38733351762187,\n              32.59868901288149\n            ],\n            [\n              -115.3421680410813,\n              32.7504065185027\n            ],\n            [\n              -115.38672450471125,\n              33.9524552673855\n            ],\n            [\n              -121.21290250910971,\n              39.35530704524879\n            ],\n            [\n              -122.17585532159484,\n              40.55715736870522\n            ],\n            [\n              -124.73655671441642,\n              40.36293527192478\n            ],\n            [\n              -122.6851834364515,\n              36.66622910881948\n            ],\n            [\n              -120.14136480939621,\n              32.588636683227534\n            ],\n            [\n              -117.38733351762187,\n              32.59868901288149\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/observatories/calvo\" data-mce-href=\"https://www.usgs.gov/observatories/calvo\">California Volcano Observatory</a><br><a href=\"https://www.usgs.gov/centers/volcano-science-center\" data-mce-href=\"https://www.usgs.gov/centers/volcano-science-center\">Volcano Science Center</a><br>U.S. Geological Survey<br>350 North Akron Road<br>Moffett Field, CA 94035<br></p><p>Email: <a href=\"mailto:askCVO@usgs.gov\" data-mce-href=\"mailto:askCVO@usgs.gov\">askCVO@usgs.gov</a><br></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2025-11-18","noUsgsAuthors":false,"publicationDate":"2025-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Burgess, Seth D. 0000-0002-4238-3797 sburgess@usgs.gov","orcid":"https://orcid.org/0000-0002-4238-3797","contributorId":200371,"corporation":false,"usgs":true,"family":"Burgess","given":"Seth","email":"sburgess@usgs.gov","middleInitial":"D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":950372,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70272228,"text":"70272228 - 2025 - Observational, virological, and serological data provide insights into an outbreak of highly pathogenic avian influenza among wild birds on the Yukon-Kuskokwim Delta, Alaska in 2022","interactions":[],"lastModifiedDate":"2025-11-19T16:38:10.441626","indexId":"70272228","displayToPublicDate":"2025-11-18T08:55:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Observational, virological, and serological data provide insights into an outbreak of highly pathogenic avian influenza among wild birds on the Yukon-Kuskokwim Delta, Alaska in 2022","docAbstract":"<p><span>In 2021–22, clade 2.3.4.4b highly pathogenic avian influenza (HPAI) viruses were introduced by wild birds into North America, leading to geographically widespread disease. In response to HPAI outbreaks throughout late 2021 and early 2022, we recorded observations of sick and dead birds, estimated abundance of carcasses, collected swab and sera samples to detect viruses, and monitored bird nesting on the Yukon-Kuskokwim Delta region of Alaska to document potential effects of disease. Thirty-six reports of sick and dead birds were registered across the region. Nineteen carcasses were opportunistically collected for diagnostic testing, of which 12 were confirmed to be infected with clade 2.3.4.4b HPAI viruses. Carcass abundance estimates from line-distance sampling provided evidence that the most common species of dead birds from the western Yukon-Kuskokwim Delta region were Cackling Goose (</span><i>Branta hutchinsii minima</i><span>), Glaucous Gull (</span><i>Larus hyperboreus</i><span>), and Black Brant (</span><i>Branta bernicla nigricans</i><span>). Only one paired cloacal and oropharyngeal swab sample from a Northern Pintail (</span><i>Anas acuta</i><span>) tested positive for clade 2.3.4.4b HPAI virus, out of 464 live-captured duck and goose samples. Of 195 sera samples from waterfowl screened for antibodies reactive to influenza A viruses, antibodies were found in 41–98% of samples collected from Emperor Goose (</span><i>Anser canagicus</i><span>), Cackling Goose, Black Brant, and Spectacled Eider (</span><i>Somateria fischeri</i><span>). In addition, 15–98% of the same sera samples were reactive to a clade 2.3.4.4b H5 antigen. Fewer Black Brant and Emperor Goose nests were found on long-term study plots during 2022 than in previous years. Collectively, we found that HPAI viruses affected at least seven species of wild birds inhabiting the region during 2022. The full scope of impacts of HPAI at this location during 2022 is unknown, but our data indicate that acute effects to avian population health on the Yukon-Kuskokwim Delta region were likely modest.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-24-00199","usgsCitation":"Daniels, B., Osnas, E.E., Boldenow, M., Gerlach, R., Ahlstrom, C., Coburn, S., Brook, M.J., Brubaker, M., Fischer, J., Koons, D.N., Matz, A., Murphy, M., Rizzolo, D., Scott, L.C., Sinnett, D.R., Thompson, J.M., Lenoch, J., Kim Torchetti, M., Stallknecht, D., Poulson, R., and Ramey, A.M., 2025, Observational, virological, and serological data provide insights into an outbreak of highly pathogenic avian influenza among wild birds on the Yukon-Kuskokwim Delta, Alaska in 2022: Journal of Wildlife Diseases, v. 61, no. 4, p. 1010-1027, https://doi.org/10.7589/JWD-D-24-00199.","productDescription":"18 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University","active":true,"usgs":false}],"preferred":false,"id":950499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boldenow, Megan","contributorId":169336,"corporation":false,"usgs":false,"family":"Boldenow","given":"Megan","affiliations":[],"preferred":false,"id":950500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerlach, Robert","contributorId":333744,"corporation":false,"usgs":false,"family":"Gerlach","given":"Robert","email":"","affiliations":[],"preferred":false,"id":950501,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ahlstrom, Christina 0000-0001-5414-8076","orcid":"https://orcid.org/0000-0001-5414-8076","contributorId":214540,"corporation":false,"usgs":true,"family":"Ahlstrom","given":"Christina","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":950502,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coburn, Sarah","contributorId":362449,"corporation":false,"usgs":false,"family":"Coburn","given":"Sarah","affiliations":[{"id":86300,"text":"Alaska Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":950503,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brook, Michael J.","contributorId":362470,"corporation":false,"usgs":false,"family":"Brook","given":"Michael","middleInitial":"J.","affiliations":[],"preferred":false,"id":950504,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brubaker, Michael","contributorId":149464,"corporation":false,"usgs":false,"family":"Brubaker","given":"Michael","email":"","affiliations":[],"preferred":false,"id":950505,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fischer, Julian","contributorId":216892,"corporation":false,"usgs":false,"family":"Fischer","given":"Julian","email":"","affiliations":[{"id":39545,"text":"USGS Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":950506,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Koons, David N.","contributorId":28137,"corporation":false,"usgs":false,"family":"Koons","given":"David","email":"","middleInitial":"N.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":950507,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Matz, Angela","contributorId":222991,"corporation":false,"usgs":false,"family":"Matz","given":"Angela","affiliations":[{"id":40638,"text":"U.S. Fish and Wildlife Service, 1011 East Tudor Road, Anchorage, Alaska 99503, United States","active":true,"usgs":false}],"preferred":false,"id":950508,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Murphy, Marin","contributorId":362450,"corporation":false,"usgs":false,"family":"Murphy","given":"Marin","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":950509,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rizzolo, Daniel","contributorId":257067,"corporation":false,"usgs":false,"family":"Rizzolo","given":"Daniel","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":950510,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Scott, Laura Celeste 0000-0003-0303-5340","orcid":"https://orcid.org/0000-0003-0303-5340","contributorId":306143,"corporation":false,"usgs":true,"family":"Scott","given":"Laura","email":"","middleInitial":"Celeste","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":950511,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sinnett, David R.","contributorId":199479,"corporation":false,"usgs":false,"family":"Sinnett","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":950512,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Thompson, Jordan M.","contributorId":303133,"corporation":false,"usgs":false,"family":"Thompson","given":"Jordan","email":"","middleInitial":"M.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":950513,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Lenoch, Juliana","contributorId":347254,"corporation":false,"usgs":false,"family":"Lenoch","given":"Juliana","email":"","affiliations":[{"id":83108,"text":"WS National Wildlife Disease Program, U.S. Department of Agriculture, Fort Collins, CO 80521, USA","active":true,"usgs":false}],"preferred":false,"id":950514,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Kim Torchetti, Mia","contributorId":139355,"corporation":false,"usgs":false,"family":"Kim Torchetti","given":"Mia","email":"","affiliations":[{"id":12747,"text":"USDA APHIS VS National Veterinary Services Laboratories, Ames, IA","active":true,"usgs":false}],"preferred":false,"id":950515,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Stallknecht, David E.","contributorId":225107,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David E.","affiliations":[{"id":36701,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":950516,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":950517,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":950518,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70272192,"text":"70272192 - 2025 - East Greenland Ice Sheet retreat history from Scoresby Sund and Storstrømmen Glacier during the last deglaciation","interactions":[],"lastModifiedDate":"2025-11-19T15:39:42.522563","indexId":"70272192","displayToPublicDate":"2025-11-18T08:33:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"East Greenland Ice Sheet retreat history from Scoresby Sund and Storstrømmen Glacier during the last deglaciation","docAbstract":"<p><span>The lack of geological constraints on past ice-sheet change in marine-based sectors of the Greenland Ice Sheet (GrIS) following the Last Glacial Maximum limits our ability to assess (1) the drivers of ice-sheet change, and (2) the performance of ice-sheet models that are benchmarked against the paleo-record of GrIS change. Here, we provide new in situ&nbsp;</span><span class=\"inline-formula\"><sup>10</sup></span><span>Be surface exposure chronologies of ice-sheet margin retreat from the outer Scoresby Sund and Storstrømmen Glacier regions in eastern and northeastern Greenland, respectively. Ice retreated from Rathbone Island, east of Scoresby Sund, by&nbsp;</span><span class=\"inline-formula\">∼</span><span> 14.1 ka, recording some of the earliest documentations of terrestrial deglaciation in Greenland. The mouth of Scoresby Sund deglaciated by&nbsp;</span><span class=\"inline-formula\">∼</span><span> 13.2 ka, and retreated at an average rate of&nbsp;</span><span class=\"inline-formula\">∼</span><span> 43 m yr</span><span class=\"inline-formula\"><sup>−1</sup></span><span>&nbsp;between 13.2 and 9.7 ka. Storstrømmen Glacier retreated from the outer coast to within&nbsp;</span><span class=\"inline-formula\">∼</span><span> 3 km of the modern ice margin between&nbsp;</span><span class=\"inline-formula\">∼</span><span> 12.7 and 8.6 ka at an average rate of&nbsp;</span><span class=\"inline-formula\">∼</span><span> 28 m yr</span><span class=\"inline-formula\"><sup>−1</sup></span><span>. Retreat then slowed or reached a stillstand as ice retreated&nbsp;</span><span class=\"inline-formula\">∼</span><span> 3 km between&nbsp;</span><span class=\"inline-formula\">∼</span><span> 8.6 ka to the modern ice margin at&nbsp;</span><span class=\"inline-formula\">∼</span><span> 8.0 ka. These retreat rates are consistent with late glacial and Holocene estimates for marine-terminating outlet glaciers across East Greenland, and comparable to modern retreat rates observed at the largest ice streams in northeastern, and northwestern Greenland.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/cp-21-2263-2025","usgsCitation":"Anderson, J.T., Young, N.E., Balter-Kennedy, A., Prince, K., Walcott-George, C.K., Graham, B.L., Charton, J., Briner, J.P., and Shaefer, J.M., 2025, East Greenland Ice Sheet retreat history from Scoresby Sund and Storstrømmen Glacier during the last deglaciation: Climate of the Past, v. 21, no. 11, p. 2263-2281, https://doi.org/10.5194/cp-21-2263-2025.","productDescription":"19 p.","startPage":"2263","endPage":"2281","ipdsId":"IP-178844","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":496745,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-21-2263-2025","text":"Publisher Index Page"},{"id":496637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Greenland","otherGeospatial":"Scoresby Sund, Storstrømmen Glacier","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -47.161725727082626,\n              84.57071318603391\n            ],\n            [\n              -47.161725727082626,\n              66.73876185091967\n            ],\n            [\n              -27.30980297025164,\n              64.59666796479314\n            ],\n            [\n              2.0505995222399918,\n              81.78653428489469\n            ],\n            [\n              -47.161725727082626,\n              84.57071318603391\n            ]\n          ]\n    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0000-0002-7828-7174","orcid":"https://orcid.org/0000-0002-7828-7174","contributorId":362369,"corporation":false,"usgs":false,"family":"Balter-Kennedy","given":"Allie","affiliations":[{"id":17701,"text":"Lamont-Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":950383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prince, Karlee 0000-0003-4843-9322","orcid":"https://orcid.org/0000-0003-4843-9322","contributorId":362371,"corporation":false,"usgs":false,"family":"Prince","given":"Karlee","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":950384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walcott-George, Caleb K. 0000-0003-4754-9466","orcid":"https://orcid.org/0000-0003-4754-9466","contributorId":362373,"corporation":false,"usgs":false,"family":"Walcott-George","given":"Caleb","middleInitial":"K.","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":950385,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graham, Brandon L. 0000-0002-7197-0413","orcid":"https://orcid.org/0000-0002-7197-0413","contributorId":340458,"corporation":false,"usgs":true,"family":"Graham","given":"Brandon","middleInitial":"L.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":950386,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Charton, Joanna","contributorId":362375,"corporation":false,"usgs":false,"family":"Charton","given":"Joanna","affiliations":[{"id":17701,"text":"Lamont-Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":950387,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Briner, Jason P.","contributorId":362377,"corporation":false,"usgs":false,"family":"Briner","given":"Jason","middleInitial":"P.","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":950388,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shaefer, Joerg M.","contributorId":362379,"corporation":false,"usgs":false,"family":"Shaefer","given":"Joerg","middleInitial":"M.","affiliations":[{"id":17701,"text":"Lamont-Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":950389,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70272215,"text":"70272215 - 2025 - Cryptic life history diversity supports endangered species recovery in an ultra-urbanized landscape","interactions":[],"lastModifiedDate":"2025-11-19T15:31:57.22913","indexId":"70272215","displayToPublicDate":"2025-11-18T08:28:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Cryptic life history diversity supports endangered species recovery in an ultra-urbanized landscape","docAbstract":"<p><span>Urban landscapes are often overlooked in conservation planning, allowing human activities to take precedence in ecosystem management. However, even heavily modified environments can support diverse species profiles, but continued expansion of the human footprint could transform these biodiversity hotspots into ecological traps that serve as hidden catalysts for demographic declines. In the backdrop of one of the world’s most urbanized landscapes-New York City, USA—is a federally endangered population of shortnose sturgeon (</span><i>Acipenser brevirostrum</i><span>) that has been quietly recovering for several decades despite many demographic threats. Here, we identify a unique behavioral phenotype of shortnose sturgeon that occupies habitats in New York Harbor in late spring and fall, likely using the area to optimize bioenergetic processes. As this study highlights, urbanized environments can be a nexus for cryptic phenotypic diversity which, if overlooked, can disrupt eco-evolutionary processes and contribute to population and species loss.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-24360-6","usgsCitation":"White, S.L., Higgs, A., and Fox, D., 2025, Cryptic life history diversity supports endangered species recovery in an ultra-urbanized landscape: Scientific Reports, v. 15, 40634, 8 p., https://doi.org/10.1038/s41598-025-24360-6.","productDescription":"40634, 8 p.","ipdsId":"IP-178198","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496744,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-24360-6","text":"Publisher Index Page"},{"id":496636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","city":"New York City","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.09993061657431,\n              40.736082719013496\n            ],\n            [\n              -74.09993061657431,\n              40.588831128093005\n            ],\n            [\n              -73.96403648299037,\n              40.588831128093005\n            ],\n            [\n              -73.96403648299037,\n              40.736082719013496\n            ],\n            [\n              -74.09993061657431,\n              40.736082719013496\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":950464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Higgs, Amanda","contributorId":225402,"corporation":false,"usgs":false,"family":"Higgs","given":"Amanda","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":950465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fox, Dewayne","contributorId":340954,"corporation":false,"usgs":false,"family":"Fox","given":"Dewayne","affiliations":[{"id":37219,"text":"Delaware State University","active":true,"usgs":false}],"preferred":false,"id":950466,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70275004,"text":"70275004 - 2025 - Systematics of three Amazonian antwren groups (Aves: Passeriformes: Thamnophilidae: Myrmotherula and Isleria)","interactions":[],"lastModifiedDate":"2026-04-10T15:25:25.342956","indexId":"70275004","displayToPublicDate":"2025-11-18T08:15:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3814,"text":"Zootaxa","onlineIssn":"1175-5334","printIssn":"1175-5326","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Systematics of three Amazonian antwren groups (Aves: Passeriformes: Thamnophilidae: <i>Myrmotherula</i> and <i>Isleria</i>)","title":"Systematics of three Amazonian antwren groups (Aves: Passeriformes: Thamnophilidae: Myrmotherula and Isleria)","docAbstract":"<p><span>Working within the framework of a companion phylogenetic analysis, we reexamined species limits within three lineages of antwrens (two species and one species complex) widely distributed across the Amazon Basin. Diagnostic differences in vocal and plumage characters provided the basis for the following taxonomic revisions.&nbsp;</span><i>Myrmotherula longipennis<span>&nbsp;</span></i><span>is found to comprise three species: (1)&nbsp;</span><i>M. longipennis<span>&nbsp;</span></i><span>(</span><i>sensu stricto</i><span>), which is confined to the region north of the Amazon; (2)&nbsp;</span><i>M. garbei</i><span>, which is elevated from subspecies status and includes the subspecies&nbsp;</span><i>zimmeri</i><span>; and (3)&nbsp;</span><i>M. paraensis</i><span>, which is also elevated from subspecies status and includes subspecies&nbsp;</span><i>transitiva<span>&nbsp;</span></i><span>and&nbsp;</span><i>ochrogyna</i><span>.&nbsp;</span><i>Myrmotherula menetriesii<span>&nbsp;</span></i><span>also comprises three species: (1)&nbsp;</span><i>M. menetriesii<span>&nbsp;</span></i><span>(</span><i>sensu stricto</i><span>), which occurs in the southwest quadrant of Amazonia and includes the subspecies&nbsp;</span><i>berlepschi</i><span>; (2)&nbsp;</span><i>M. cinereiventris</i><span>, which is elevated from subspecies status and includes the subspecies&nbsp;</span><i>pallida</i><span>; and (3)&nbsp;</span><i>M. omissa</i><span>, which is monotypic and is also elevated from subspecies status. We maintain two species in the&nbsp;</span><i>Isleria<span>&nbsp;</span></i><span>complex,&nbsp;</span><i>I. guttata<span>&nbsp;</span></i><span>and&nbsp;</span><i>I. hauxwelli</i><span>.&nbsp;</span><i>Isleria guttata<span>&nbsp;</span></i><span>remains monotypic, but the subspecies of&nbsp;</span><i>I. hauxwelli<span>&nbsp;</span></i><span>are revised.&nbsp;</span><i>Isleria h. hellmayri<span>&nbsp;</span></i><span>is preserved as currently defined, but&nbsp;</span><i>I. h. suffusa<span>&nbsp;</span></i><span>is synonymized with the nominate form, the geographic range of which is restricted to western Amazonia. A fourth subspecies,&nbsp;</span><i>I. h. clarior</i><span>, is resurrected; this subspecies occupies the major part of the range previously assigned to&nbsp;</span><i>I. h. hauxwelli</i><span>.</span></p>","language":"English","publisher":"Magnolia","doi":"10.11646/zootaxa.5722.1.2","usgsCitation":"Isler, M.L., Chesser, R., Stryjewski, K.F., and Whitney, B.M., 2025, Systematics of three Amazonian antwren groups (Aves: Passeriformes: Thamnophilidae: Myrmotherula and Isleria): Zootaxa, v. 5722, no. 1, p. 45-78, https://doi.org/10.11646/zootaxa.5722.1.2.","productDescription":"34 p.","startPage":"45","endPage":"78","ipdsId":"IP-153882","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":502991,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":502695,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Amazon Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.00954838629755,\n              2.3519259569629014\n            ],\n            [\n              -78.06774683472436,\n              -2.255572439661208\n            ],\n            [\n              -79.56707854677558,\n              -4.880278929701795\n            ],\n            [\n              -74.76003992828132,\n              -8.775821288672432\n            ],\n            [\n              -63.303829327664644,\n              -16.80700744301342\n            ],\n            [\n              -50.4273365032854,\n              -10.681599115018031\n            ],\n            [\n              -48.65068329492766,\n              1.0163951683207557\n            ],\n            [\n              -57.09083498655092,\n              5.704635857356543\n            ],\n            [\n              -73.00954838629755,\n              2.3519259569629014\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"5722","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Isler, Morton L","contributorId":369792,"corporation":false,"usgs":false,"family":"Isler","given":"Morton","middleInitial":"L","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":959181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chesser, R. Terry 0000-0003-4389-7092","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":87669,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":959182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stryjewski, Katherine F.","contributorId":369794,"corporation":false,"usgs":false,"family":"Stryjewski","given":"Katherine","middleInitial":"F.","affiliations":[],"preferred":false,"id":959183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitney, Bret M","contributorId":369795,"corporation":false,"usgs":false,"family":"Whitney","given":"Bret","middleInitial":"M","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":959184,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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