{"pageNumber":"30","pageRowStart":"725","pageSize":"25","recordCount":184776,"records":[{"id":70274530,"text":"70274530 - 2025 - Tracking the sources of metals to the San Juan River, Four Corners Region, USA: An introduction to the thematic issue","interactions":[],"lastModifiedDate":"2026-04-01T13:27:08.722214","indexId":"70274530","displayToPublicDate":"2025-11-24T10:52:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1758,"text":"Geochemistry: Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Tracking the sources of metals to the San Juan River, Four Corners Region, USA: An introduction to the thematic issue","docAbstract":"

Surface water quantity and quality is important for arid and semi-arid regions where many people, including underserved and Indigenous communities, rely on a scarce resource for drinking water, irrigation, livestock and ceremonial uses. The southwestern United States, and specifically the Four Corners Region (Colorado, Arizona, New Mexico and Utah), is an example of this situation. Elevated concentrations of metals including aluminium, arsenic and lead were identified in previous studies and this study in the San Juan River from below the Navajo Dam, through the Navajo Nation to Mexican Hat, Utah. An interdisciplinary team applied approaches and principles of geology, geochemistry, geomorphology, hydrology and statistics to gain a better understanding of the tributaries supplying the source(s) of metals to the San Juan River. This introductory paper provides an overview of the ‘Metal geochemical fingerprinting to identify sub-watershed source contributions to surface water at a regional arid watershed scale, Four Corners Region, USA’ thematic collection. An overview of sampling sites, techniques and potential sources of metals is provided. Approaches used in this study could be applied to investigations in similar systems globally.

","language":"English","publisher":"Geological Society of London","doi":"10.1144/geochem2024-027","usgsCitation":"Blake, J., Austin, S.A., Johnson, F., Brown, J., Chavarria, S., Mixon, R., Van Zante, C., Wilkins, K., Whiting, M.R., Ferguson, C.L., Shephard, Z., Bosch, K., Austring, T.J., Ratigan, Z., Shomour, A.A., and Yager, D., 2025, Tracking the sources of metals to the San Juan River, Four Corners Region, USA: An introduction to the thematic issue: Geochemistry: Exploration, Environment, Analysis, v. 25, no. 4, geochem2024-027, 16 p., https://doi.org/10.1144/geochem2024-027.","productDescription":"geochem2024-027, 16 p.","ipdsId":"IP-163791","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":501870,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"state":"Arizona, Colorado, New Mexico, Utah","otherGeospatial":"Four Corners region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.73849819939772,\n 37.90517872002948\n ],\n [\n -111.80435454605075,\n 37.90517872002948\n ],\n [\n -111.80435454605075,\n 35.07498855685233\n ],\n [\n -107.73849819939772,\n 35.07498855685233\n ],\n [\n -107.73849819939772,\n 37.90517872002948\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Austin, Stephen A.","contributorId":167625,"corporation":false,"usgs":false,"family":"Austin","given":"Stephen","email":"","middleInitial":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":958095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Fred","contributorId":295463,"corporation":false,"usgs":false,"family":"Johnson","given":"Fred","affiliations":[{"id":6963,"text":"Department of Bioscience, Aarhus University","active":true,"usgs":false}],"preferred":false,"id":958096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Jeb E. 0000-0001-7671-2379","orcid":"https://orcid.org/0000-0001-7671-2379","contributorId":225088,"corporation":false,"usgs":true,"family":"Brown","given":"Jeb E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chavarria, Shaleene 0000-0001-8792-1010","orcid":"https://orcid.org/0000-0001-8792-1010","contributorId":222578,"corporation":false,"usgs":true,"family":"Chavarria","given":"Shaleene","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mixon, Rachel Lynn 0000-0001-9863-6784","orcid":"https://orcid.org/0000-0001-9863-6784","contributorId":328595,"corporation":false,"usgs":true,"family":"Mixon","given":"Rachel Lynn","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958099,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Zante, C.A. 0000-0003-0266-9827","orcid":"https://orcid.org/0000-0003-0266-9827","contributorId":334817,"corporation":false,"usgs":true,"family":"Van Zante","given":"C.A.","email":"","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958100,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilkins, Kate 0000-0002-8096-0153","orcid":"https://orcid.org/0000-0002-8096-0153","contributorId":368916,"corporation":false,"usgs":false,"family":"Wilkins","given":"Kate","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":958101,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Whiting, Michael Ray 0009-0000-9749-6601","orcid":"https://orcid.org/0009-0000-9749-6601","contributorId":368917,"corporation":false,"usgs":true,"family":"Whiting","given":"Michael","middleInitial":"Ray","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958102,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ferguson, Christina L. 0000-0003-3368-0770","orcid":"https://orcid.org/0000-0003-3368-0770","contributorId":225087,"corporation":false,"usgs":true,"family":"Ferguson","given":"Christina","email":"","middleInitial":"L.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958103,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Shephard, Zachary 0000-0003-2994-3355 zshephard@usgs.gov","orcid":"https://orcid.org/0000-0003-2994-3355","contributorId":187680,"corporation":false,"usgs":true,"family":"Shephard","given":"Zachary","email":"zshephard@usgs.gov","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958104,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bosch, K. 0000-0002-3874-4609","orcid":"https://orcid.org/0000-0002-3874-4609","contributorId":369065,"corporation":false,"usgs":true,"family":"Bosch","given":"K.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958105,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Austring, Tristan Joel 0000-0002-5790-5498","orcid":"https://orcid.org/0000-0002-5790-5498","contributorId":338725,"corporation":false,"usgs":true,"family":"Austring","given":"Tristan","email":"","middleInitial":"Joel","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958106,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ratigan, Zoreya (Zev) Eden 0009-0005-1075-8266","orcid":"https://orcid.org/0009-0005-1075-8266","contributorId":334365,"corporation":false,"usgs":true,"family":"Ratigan","given":"Zoreya (Zev) Eden","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958107,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Shomour, Anani Atahnibaa 0009-0005-2626-392X","orcid":"https://orcid.org/0009-0005-2626-392X","contributorId":368918,"corporation":false,"usgs":true,"family":"Shomour","given":"Anani","middleInitial":"Atahnibaa","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958108,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Yager, Douglas 0000-0001-5074-4022","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":305726,"corporation":false,"usgs":false,"family":"Yager","given":"Douglas","affiliations":[],"preferred":false,"id":958109,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70274120,"text":"70274120 - 2025 - Late Quaternary pollen record from southwest Seward Peninsula, western Alaska, and the vegetation history of central Beringia","interactions":[],"lastModifiedDate":"2026-02-26T16:45:16.585601","indexId":"70274120","displayToPublicDate":"2025-11-24T09:40:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary pollen record from southwest Seward Peninsula, western Alaska, and the vegetation history of central Beringia","docAbstract":"

Pollen analysis of samples from a coastal exposure near Teller, southwestern Seward Peninsula, Alaska, provides a record of vegetation and climate spanning the Last Glacial Maximum (LGM) through the Holocene. The site is near the center of the former Bering Land Bridge (BLB). The oldest pollen-bearing sediment unit is a loess deposit of LGM age, with pollen assemblages that closely resemble LGM assemblages from other key sites in central Beringia spanning 16° of latitude. These fossil assemblages represent vegetation composed primarily of grasses, sedges, Artemisia, willows, and forbs and are interpreted to represent steppe–tundra, associated with dry climates and summer temperatures cooler than at present. LGM mosses did not accumulate insulating layers of peat; the summer active soil layer was deeper than at present. Permafrost with ice wedges and loess deposition were widespread. A regional transition from steppe–tundra vegetation to a dwarf shrub–sedge–moss mesic-to-wetland vegetation began in central Beringia with the onset of Bølling–Allerød (B-A) warming at 14,700 cal yr BP. Warming events of the B-A and early Holocene resulted in widespread development of thermokarst terrain on the BLB and on ice-rich terrain in Western Alaska. Mesic climates and vegetation developed on the BLB during the marine transgression and because of B-A and early Holocene warming. Early Holocene warming allowed some boreal forest species such as alders to begin colonizing Western Alaska from the interior.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2025.2575555","usgsCitation":"Ager, T.A., 2025, Late Quaternary pollen record from southwest Seward Peninsula, western Alaska, and the vegetation history of central Beringia: Arctic, Antarctic, and Alpine Research, v. 57, no. 1, 2575555, 35 p., https://doi.org/10.1080/15230430.2025.2575555.","productDescription":"2575555, 35 p.","ipdsId":"IP-173345","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":500611,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2025.2575555","text":"Publisher Index Page"},{"id":500550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Seward Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -169.32417977560934,\n 66.76862458219912\n ],\n [\n -169.32417977560934,\n 64.13111893464969\n ],\n [\n -161.8068024698362,\n 64.13111893464969\n ],\n [\n -161.8068024698362,\n 66.76862458219912\n ],\n [\n -169.32417977560934,\n 66.76862458219912\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"57","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ager, Thomas A. 0000-0002-5029-7581","orcid":"https://orcid.org/0000-0002-5029-7581","contributorId":220219,"corporation":false,"usgs":false,"family":"Ager","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":956596,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70272820,"text":"70272820 - 2025 - A monitoring framework to assess forest bird population response to landscape scale mosquito suppression using the Incompatible Insect Technique","interactions":[],"lastModifiedDate":"2025-12-10T15:52:46.387704","indexId":"70272820","displayToPublicDate":"2025-11-24T09:39:50","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":6053,"text":"Hawaii Cooperative Studies Unit Technical Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"HCSU-119","title":"A monitoring framework to assess forest bird population response to landscape scale mosquito suppression using the Incompatible Insect Technique","docAbstract":"

The Birds, Not Mosquitoes Monitoring and Support Science Working Group detailed methods for monitoring the population response of Hawaiian forest birds during implementation of the Incompatible Insect Technique (IIT) on the islands of Maui and Kauaʻi. The group prioritized methods for measuring the influence of mosquito suppression on populations within IIT treatment and control areas and identified focal species for IIT efficacy monitoring in birds. Three primary metrics were established to assess the impact of IIT on vulnerable species: population demography, density, and geographic range. Each metric can be evaluated using multiple methods. This report reviews those methods, with emphasis on approaches supported by pre-IIT baseline data and compatible with a before-after control-impact (BACI) study design for evaluating population responses over time. Focal avian species were selected based on population size estimates, fecundity, and disease susceptibility. We identified ʻākohekohe (Palmeria dolei), ʻiʻiwi (Drepanis coccinea), Maui ʻalauahio (Paroreomyza montana), Hawaiʻi ʻamakihi (Chlorodrepanis virens), Kauaʻi ʻamakihi (Chlorodrepanis stejnegeri), Kauaʻi ʻelepaio (Chasiempis sclateri), and ʻanianiau (Magumma parva) as focal species for monitoring population level response to disease suppression.

Populations of kiwikiu (Pseudonestor xanthophrys), ʻakikiki (Oreomystis bairdi), akekeʻe (Loxops caeruleirostris), and the ʻiʻiwi population on Kauaʻi may be too small (e.g., <100 individuals) to effectively monitor, and it is unlikely that sufficient data can be collected from these birds to show IIT efficacy in a relatively short time frame (i.e., 5–10 years). Despite the logistical challenges to IIT implementation, there is potential to maintain disease-free status in individual populations of birds. Indeed, the continued existence of these critically endangered species in the wild within or near IIT treatment areas could be considered an accomplishment of IIT, given the current predictions for their extinction in the wild within 5–10 years. Demographic monitoring methods, including territory mapping, nest monitoring, mist-netting, and mark-recapture studies, provide direct evidence of survivorship and reproductive output.

When combined with disease surveillance, these approaches could provide the most robust evidence of increased survivorship and productivity resulting from avian malaria suppression via IIT. However, demographic studies require several years of monitoring to achieve statistically robust BACI comparisons of survivorship and are more difficult to implement relative to other approaches. Given that these field efforts are labor-intensive and heavily reliant on personnel availability and funding, demographic monitoring could be conducted when adequate resources permit.

On both Maui and Kauaʻi, passive acoustic monitoring (PAM) was identified as a priority method for monitoring the range, occupancy, and relative abundance of focal species. Autonomous recording units (ARUs) can record bird vocalizations in remote areas for several months.

Innovative machine learning techniques permit rapid and semi-autonomous identification of most endemic honeycreepers on each island, maximizing sampling efficiencies and minimizing data processing costs. We predict mosquito suppression could support expansion of focal species into areas where disease transmission is currently excluding these species and expect acoustic monitoring data of focal species to reflect these spatial patterns. Additionally, the relative occupancy and call densities can be monitored temporally and spatially to assess the efficacy of IIT for supporting positive growth in vulnerable bird species. It is not yet clear if PAM is more effective than other methods, such as distance sampling, for detecting trends in the densities of rare species. However, the increased detections resulting from the larger sample size per observation point using ARUs will likely improve accuracy in detecting changes in species’ ranges. Collection of during and after treatment data within the BACI design could help to provide critical information to track avian population response, recovery, and potential range expansion related to IIT efforts. Point-transect distance sampling (point-counts) was prioritized as a method for monitoring population densities of focal species. Extensive historical sampling across focal species’ ranges provides a robust baseline for detecting change. These counts provide updated population densities and can be used to assess the distribution of focal species within IIT treatment areas.

However, detecting subtle population changes with traditional distance sampling requires intensive spatial and temporal effort and may be less effective for rare species. To improve resolution, density surface modeling can integrate multiple data sources (e.g., point-counts, PAM, spot-mapping, and resightings) to estimate species-specific densities at finer spatial scales, including within and outside IIT treatment areas. This integrated modeling approach allows for detailed comparisons and may reveal early signs of recovery, including recolonization of formerly occupied sites. A coordinated monitoring strategy can allow managers to evaluate the success of mosquito suppression as a conservation intervention and support adaptive management in the face of emerging challenges.

","language":"English","publisher":"University of Hawai‘i at Hilo","usgsCitation":"Judge, S., Warren, C.C., Navine, A.K., Camp, R.J., Crampton, L.H., Mounce, H.L., Vetter, J., Smith, L., Hart, P.J., Bellinger, M.R., and McClure, K.M., 2025, A monitoring framework to assess forest bird population response to landscape scale mosquito suppression using the Incompatible Insect Technique: Hawaii Cooperative Studies Unit Technical Report HCSU-119, iv, 40 p.","productDescription":"iv, 40 p.","ipdsId":"IP-179519","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":497301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497294,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/5402"}],"country":"United States","state":"Hawaii","otherGeospatial":"Alaka'i Plateau, Haleakalā National Park , Waikamoi region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.1522358062181,\n 20.73823881977907\n ],\n [\n -156.1522358062181,\n 20.64621454011673\n ],\n [\n -156.0266571558431,\n 20.64621454011673\n ],\n [\n -156.0266571558431,\n 20.73823881977907\n ],\n [\n -156.1522358062181,\n 20.73823881977907\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.24921043067422,\n 20.86997751409396\n ],\n [\n -156.24921043067422,\n 20.764987165934627\n ],\n [\n -156.1306083719868,\n 20.764987165934627\n ],\n [\n -156.1306083719868,\n 20.86997751409396\n ],\n [\n -156.24921043067422,\n 20.86997751409396\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -159.60125365576934,\n 22.147325602222963\n ],\n [\n -159.60125365576934,\n 22.042746120889333\n ],\n [\n -159.48161313138613,\n 22.042746120889333\n ],\n [\n -159.48161313138613,\n 22.147325602222963\n ],\n [\n -159.60125365576934,\n 22.147325602222963\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Judge, Seth 0000-0003-3832-3246","orcid":"https://orcid.org/0000-0003-3832-3246","contributorId":189965,"corporation":false,"usgs":false,"family":"Judge","given":"Seth","email":"","affiliations":[],"preferred":false,"id":951876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warren, Christopher C","contributorId":264665,"corporation":false,"usgs":false,"family":"Warren","given":"Christopher","email":"","middleInitial":"C","affiliations":[{"id":54533,"text":"Maui Forest Bird Recovery Project, Pacific Cooperative Studies Unit, University of Hawai‘i at Manoa","active":true,"usgs":false}],"preferred":false,"id":951877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Navine, Amanda K","contributorId":333575,"corporation":false,"usgs":false,"family":"Navine","given":"Amanda","email":"","middleInitial":"K","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":951878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":951879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crampton, Lisa H. 0000-0002-5420-4338","orcid":"https://orcid.org/0000-0002-5420-4338","contributorId":359942,"corporation":false,"usgs":false,"family":"Crampton","given":"Lisa","middleInitial":"H.","affiliations":[{"id":85948,"text":"Kauaʻi Forest Bird Recovery Project","active":true,"usgs":false}],"preferred":false,"id":951880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mounce, Hanna L","contributorId":363605,"corporation":false,"usgs":false,"family":"Mounce","given":"Hanna","middleInitial":"L","affiliations":[{"id":13352,"text":"Maui Forest Bird Recovery Project","active":true,"usgs":false}],"preferred":false,"id":951881,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vetter, John","contributorId":291840,"corporation":false,"usgs":false,"family":"Vetter","given":"John","affiliations":[{"id":55513,"text":"USFWS - Pacific Islands Fish and Wildlife Office","active":true,"usgs":false}],"preferred":false,"id":951882,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Lauren K. 0000-0003-1783-715X","orcid":"https://orcid.org/0000-0003-1783-715X","contributorId":353538,"corporation":false,"usgs":false,"family":"Smith","given":"Lauren K.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":951883,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hart, Patrick J.","contributorId":147728,"corporation":false,"usgs":false,"family":"Hart","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":951884,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bellinger, Mona Renee 0000-0001-5274-9572","orcid":"https://orcid.org/0000-0001-5274-9572","contributorId":301018,"corporation":false,"usgs":true,"family":"Bellinger","given":"Mona","email":"","middleInitial":"Renee","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":951885,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McClure, Katherine Maria 0000-0001-8595-7677","orcid":"https://orcid.org/0000-0001-8595-7677","contributorId":332279,"corporation":false,"usgs":true,"family":"McClure","given":"Katherine","email":"","middleInitial":"Maria","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":951886,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70273153,"text":"70273153 - 2025 - Groundwater structures fish growth and production across a riverscape","interactions":[],"lastModifiedDate":"2025-12-17T15:07:26.397254","indexId":"70273153","displayToPublicDate":"2025-11-23T08:59:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater structures fish growth and production across a riverscape","docAbstract":"
  1. Landscapes are composed of habitat patches and conditions that vary across space and time. While habitat variability and complexity can support important ecological processes and ecosystem services, the dynamic nature of habitats can also constrain organismal growth and production as optimal conditions are fleeting. In riverine ecosystems, groundwater discharge to streams stabilises water temperature and flow regimes, thus mediating how habitat complexity is expressed. Yet, how stable habitats structure growth and production within the broader landscape matrix is not well understood.
  2. In this study, we explored the effects of groundwater on spatiotemporal variation in growth and production for juvenile Yellowstone cutthroat trout (Oncorhynchus virginalis bouvieri) across the upper Snake River catchment, Wyoming, USA. We combined machine learning techniques and remotely sensed landscape data to estimate groundwater availability across the river network, which we linked to stream temperature regimes and conspecific density. We then used Bayesian hierarchical models to quantify the effects of temperature, density and groundwater on spatiotemporal variation in fish growth and production in 52 focal reaches. Finally, we predicted body size trajectories and trends in total production continuously over both space and time to understand the effect of groundwater at the riverscape scale.
  3. Groundwater discharged to streams where topography changes abruptly in valley-bottom areas underlain by coarse glacial deposits. Groundwater stabilised temperature regimes and was associated with high trout densities. Temperature and density, in turn, interacted to influence growth rates: growth increased strongly with temperature, but this effect was reduced when density was high. Accordingly, variation in groundwater availability among stream reaches diversified growth and production regimes. In reaches with low groundwater availability, growth and production declined over time from summer maxima. In contrast, in reaches with high groundwater availability, temporal trends in growth and production were hump-shaped—peaking in autumn—and mean production was greater. At the riverscape scale, temporal asynchrony in growth rates generated convergent spatial variation in growth capacity, but—when combined with density—led to the formation of distinct hotspots of production.
  4. Our results demonstrate how groundwater, an important driver of aquatic ecosystem heterogeneity, structures trout growth and production across space and time. Importantly, rare, but stable habitats may disproportionately affect ecological processes and serve as key sources of population diversity at larger spatial scales.
","language":"English","publisher":"Wiley","doi":"10.1111/fwb.70112","usgsCitation":"Baldock, J.R., Al-Chokhachy, R., and Walters, A.W., 2025, Groundwater structures fish growth and production across a riverscape: Freshwater Biology, v. 70, no. 11, e70112, 17 p., https://doi.org/10.1111/fwb.70112.","productDescription":"e70112, 17 p.","ipdsId":"IP-167512","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":497735,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.70112","text":"Publisher Index Page"},{"id":497632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"upper Snake River catchment","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111,\n 44.5\n ],\n [\n -111,\n 43\n ],\n [\n -110,\n 43\n ],\n [\n -110,\n 44.5\n ],\n [\n -111,\n 44.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"70","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldock, Jeffrey R.","contributorId":364299,"corporation":false,"usgs":false,"family":"Baldock","given":"Jeffrey","middleInitial":"R.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":952466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":216140,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":952467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":952468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272628,"text":"70272628 - 2025 - When do single-species occupancy models outperform multispecies models?","interactions":[{"subject":{"id":70266474,"text":"70266474 - 2025 - Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design","indexId":"70266474","publicationYear":"2025","noYear":false,"title":"Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design"},"predicate":"SUPERSEDED_BY","object":{"id":70272628,"text":"70272628 - 2025 - When do single-species occupancy models outperform multispecies models?","indexId":"70272628","publicationYear":"2025","noYear":false,"title":"When do single-species occupancy models outperform multispecies models?"},"id":1}],"lastModifiedDate":"2025-11-26T14:27:14.908635","indexId":"70272628","displayToPublicDate":"2025-11-23T08:22:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"When do single-species occupancy models outperform multispecies models?","docAbstract":"

Occupancy models have become increasingly popular for species monitoring and assessment, in part, because detection/non-detection data are readily obtained using a variety of methods. Multispecies occupancy models (MSOMs) can yield more accurate parameter estimates than single-species models (SSOMs) with less data through their hierarchical structure, making MSOMs an attractive option when species are hard to detect or when data collection is constrained, leading to sparse datasets. Such constraints may arise from limited sampling resources, but also occur in rare species monitoring or where preliminary results are desired to inform adaptive management. Further, experimental habitat treatments often impose spatial constraints on sampling based on the scale of their implementation. Whether a MSOM outperforms SSOMs depends on the volume of data, characteristics of the ecological community, research goals of a study and how these factors align with modeling assumptions. We performed a simulation study of hypothetical pollinator communities under varying sampling intensities for scenarios in which experimental habitat treatments produced different community-level effects. We fit occupancy models to simulated datasets and assessed model performance. At lower sampling intensities (< 20 spatial replicates and < 4 temporal replicates), MSOM community-level treatment effect estimates were biased. Even at twice this sampling intensity, SSOMs yielded more accurate species-specific effect estimates in treatment effect scenarios with high variance. In some cases, MSOMs can pull species in the tails of distributions too far toward the community mean effect, which risks incorrect conclusions concerning whether treatments help or harm individual species. When quantifying species-specific effects is the main objective, particularly for rarely observed species, SSOMs are more robust to outliers across a range of community response scenarios. Researchers can use this information to inform study design, guide simulation studies and decide whether the higher precision of MSOMs outweighs risks of improperly estimated effects for some species.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72315","usgsCitation":"Cotterill, G.G., Keinath, D.A., and Graves, T., 2025, When do single-species occupancy models outperform multispecies models?: Ecology and Evolution, v. 15, no. 11, e72315, 14 p., https://doi.org/10.1002/ece3.72315.","productDescription":"e72315, 14 p.","ipdsId":"IP-178046","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":496936,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72315","text":"Publisher Index Page"},{"id":496899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Cotterill, Gavin G. 0000-0002-1408-778X","orcid":"https://orcid.org/0000-0002-1408-778X","contributorId":346534,"corporation":false,"usgs":true,"family":"Cotterill","given":"Gavin","middleInitial":"G.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":951037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keinath, Douglas A.","contributorId":363056,"corporation":false,"usgs":false,"family":"Keinath","given":"Douglas","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":951039,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273831,"text":"70273831 - 2025 - Topographic, climatic, and age controls on the reworking of volcanic debris avalanche deposits","interactions":[],"lastModifiedDate":"2026-02-05T15:07:01.492317","indexId":"70273831","displayToPublicDate":"2025-11-23T08:01:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Topographic, climatic, and age controls on the reworking of volcanic debris avalanche deposits","docAbstract":"

Volcanic debris avalanches have deposited as much as 1000 km3 of largely unconsolidated material on landscapes and remodeled existing drainage networks. The landscape disturbances created by these events pose severe, cascading downstream sedimentation hazards that can require long-term societal management, as demonstrated by decades of observations and ongoing interventions after the deposition of the 1980 debris avalanche of Mount St. Helens (United States). There, post-emplacement sediment yields caused by deposit erosion remain several times above estimated background yield and lakes impounded by the deposit still pose threats of downstream flooding. Despite the length and quality of measurements of the geomorphic evolution and consequent sediment release at Mount St. Helens, the long-term trajectory of drainage network evolution across, and the associated sediment release from, large volcanic debris avalanches remains uncertain. Observations and modeling at Mount St. Helens, however, indicate channel instability can persist many decades and may persist for centuries to millennia. We examined potential influences on the erosion and preservation of volcanic debris avalanche deposits (VDADs) by mapping valley networks developed on 89 VDADs selected from volcanic arcs across the world and spanning a variety of topographic settings and climate regimes. Using the best available topographic data (1 m lidar to 30 m radar-derived data depending on location) and aerial imagery, we estimated the areas of deposits that have been reworked relative to initial deposit footprints as a proxy for post-emplacement erosion. We found that a primary influence on reworking is the topographic confinement of the VDAD: confined, valley-filling deposits are systematically more reworked than unconfined deposits. There is no apparent relationship between deposit age and reworking for valley-filling deposits, indicating that drainage networks on deposits in confined topographic settings like at Mount St. Helens reform rapidly after emplacement. In contrast, our data indicate that the reworking of unconfined deposits has a monotonic positive relationship with age. This observation agrees with a conceptual model of channel formation at Mount Taranaki (New Zealand), which posits that an unconfined VDAD created a topographic high that initially (e.g., 2–8 ky for the Pungarehu formation at Taranaki) diverted erosion to the deposit margins. We found only a weak to moderate relationship between reworking and modern precipitation regimes, which may reflect differences between modern and paleo-precipitation conditions at many of our study sites. We also found no correlation between the size (surface area or volume) of deposits and the degree of reworking. The work presented here implies that downstream cascading sediment hazards from landscape-resetting processes like VDADs (such as thick, extensive pyroclastic flow deposits) depend on the relief and organization of the surrounding landscape.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-025-01914-0","usgsCitation":"Sweeney, K., and Major, J.J., 2025, Topographic, climatic, and age controls on the reworking of volcanic debris avalanche deposits: Bulletin of Volcanology, v. 87, 115, https://doi.org/10.1007/s00445-025-01914-0.","productDescription":"115","ipdsId":"IP-167440","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.35475363838827,\n 46.30537067138167\n ],\n [\n -122.35475363838827,\n 46.11419720033388\n ],\n [\n -121.99492703337631,\n 46.11419720033388\n ],\n [\n -121.99492703337631,\n 46.30537067138167\n ],\n [\n -122.35475363838827,\n 46.30537067138167\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"87","noUsgsAuthors":false,"publicationDate":"2025-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Sweeney, Kristin","contributorId":365989,"corporation":false,"usgs":false,"family":"Sweeney","given":"Kristin","affiliations":[{"id":61798,"text":"University of Portland","active":true,"usgs":false}],"preferred":false,"id":955119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":955120,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273755,"text":"70273755 - 2025 - Twenty years (2000-2020) of butterfly monitoring data across the contiguous United States","interactions":[],"lastModifiedDate":"2026-01-28T16:44:37.745111","indexId":"70273755","displayToPublicDate":"2025-11-22T09:37:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"Twenty years (2000-2020) of butterfly monitoring data across the contiguous United States","docAbstract":"

We present the most comprehensive, integrated, butterfly monitoring dataset ever assembled for the United States. It contains over 1.2 million count records, from 65,000 surveys, representing over 12.6 million individual butterflies. To compile this dataset, we integrated data and harmonized taxonomy across 19 butterfly monitoring programs in the United States – one national, 13 statewide, and 5 local (e.g. individual county or National Park) in scale. In addition to the data, we also provide the taxonomic dictionary used to crosswalk butterfly taxonomy across programs, and the code used to assemble the integrated dataset. The publication of this dataset will inspire new analyses of butterfly population trends and drivers that help to identify solutions to the biodiversity crisis.

","language":"English","publisher":"Springer Nature","doi":"10.1038/s41597-025-05513-8","usgsCitation":"Henry, E.H., Edwards, C., Shirey, V., Pippen, J.S., Waetjen, D., Forister, M.L., Larsen, E., Schultz, C.B., Michielini, J., Brockman, N., Burls, K., Drum, R., Gatch, M., Glassberg, J., Hamlett, N., Hershcovich, S.V., Le, C., McGaffin, S., Meilinger, J., Richter, L., Rochefort, R., Schelz, C., Shapiro, A.M., Sullivan, K., Taron, D., Thogmartin, W.E., Walker, A., Westphal, A., Wiedmann, J., Wilcockson, I.U., Zaspel, J., and Ries, L., 2025, Twenty years (2000-2020) of butterfly monitoring data across the contiguous United States: Scientific Data, v. 12, 1869, 8 p., https://doi.org/10.1038/s41597-025-05513-8.","productDescription":"1869, 8 p.","ipdsId":"IP-174696","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":499339,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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An energy transition is underway in the United States; renewable energy generation is now on par with coal and nuclear generation. The number of large-scale solar photovoltaic facilities increased approximately tenfold between 2012 and 2021, with an associated 25-fold increase in cumulative installed capacity. With ambitious decarbonization and renewable energy deployment goals at both the federal and state levels, deployments of large-scale solar photovoltaic facilities will continue apace. This growth is likely to be complex with ripples of impacts felt throughout different aspects of society, and thus accurate solar land use metrics allowing more accurate predictions are of value to policymakers, planners, and other stakeholders in the future photovoltaic build-out. In this paper, we leverage data from the newly released US Large-Scale Solar Photovoltaic Database to examine recent trends in large-scale solar photovoltaic land use. We analyze the relationships between solar array capacity density (W/acre) and a range of facility attributes to better understand the future land requirements of solar capacity expansion over the coming years. Installed capacity was the single strongest determinant of solar array area. However, we found substantial variation in capacity density across facility attributes, including mount type, latitude, urbanicity, time, and prior land use.

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Sydny","contributorId":331485,"corporation":false,"usgs":false,"family":"Fujita","given":"K.","middleInitial":"Sydny","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":951420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoen, Ben 0000-0002-9512-5572","orcid":"https://orcid.org/0000-0002-9512-5572","contributorId":204879,"corporation":false,"usgs":false,"family":"Hoen","given":"Ben","email":"","affiliations":[{"id":37001,"text":"DOE Lawrence Berkeley National Labs","active":true,"usgs":false}],"preferred":false,"id":951421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robson, Dana","contributorId":331488,"corporation":false,"usgs":false,"family":"Robson","given":"Dana","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":951422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rand, Joesph 0000-0002-6398-2473","orcid":"https://orcid.org/0000-0002-6398-2473","contributorId":204880,"corporation":false,"usgs":false,"family":"Rand","given":"Joesph","email":"","affiliations":[{"id":37002,"text":"DOE LBNL","active":true,"usgs":false}],"preferred":false,"id":951423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ancona, Zachary H. 0000-0001-5430-0218 zancona@usgs.gov","orcid":"https://orcid.org/0000-0001-5430-0218","contributorId":5578,"corporation":false,"usgs":true,"family":"Ancona","given":"Zachary","email":"zancona@usgs.gov","middleInitial":"H.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":951424,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":223504,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":951425,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kramer, Louisa 0000-0002-6776-9768","orcid":"https://orcid.org/0000-0002-6776-9768","contributorId":204878,"corporation":false,"usgs":true,"family":"Kramer","given":"Louisa","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":951426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Garrity, Christopher 0000-0002-5565-1818 cgarrity@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-1818","contributorId":220994,"corporation":false,"usgs":true,"family":"Garrity","given":"Christopher","email":"cgarrity@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951427,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gu, Jianyu","contributorId":138719,"corporation":false,"usgs":false,"family":"Gu","given":"Jianyu","email":"","affiliations":[{"id":12507,"text":"Department of Natural Resources and the Environment, University of New Hampshire, 56 College Road, Durham, NH 03824, USA","active":true,"usgs":false}],"preferred":false,"id":951428,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Macknick, Jordan","contributorId":363275,"corporation":false,"usgs":false,"family":"Macknick","given":"Jordan","affiliations":[{"id":33782,"text":"National Renewable Energy Laboratory","active":true,"usgs":false}],"preferred":false,"id":951429,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"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 Coregonus artedi population","title":"Drowned river mouth lakes are winter foraging habitats for the expanding Lake Michigan cisco Coregonus artedi population","docAbstract":"

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 Coregonus artedi, 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.

","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 A.","contributorId":150497,"corporation":false,"usgs":false,"family":"Turschak","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[{"id":18038,"text":"University of Wisconsin, Milwaukee","active":true,"usgs":false}],"preferred":true,"id":950987,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pothoven, Steven A.","contributorId":362161,"corporation":false,"usgs":false,"family":"Pothoven","given":"Steven","middleInitial":"A.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":950988,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackiss, Amanda Susanne 0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science 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Center","active":true,"usgs":true}],"preferred":true,"id":950992,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Honsey, Andrew Edgar 0000-0001-7535-1321","orcid":"https://orcid.org/0000-0001-7535-1321","contributorId":295468,"corporation":false,"usgs":true,"family":"Honsey","given":"Andrew","email":"","middleInitial":"Edgar","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950993,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Elliott, Jeff","contributorId":363045,"corporation":false,"usgs":false,"family":"Elliott","given":"Jeff","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":950994,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Egedy, Lindsie Ann 0000-0003-1359-8219","orcid":"https://orcid.org/0000-0003-1359-8219","contributorId":356946,"corporation":false,"usgs":true,"family":"Egedy","given":"Lindsie Ann","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950995,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Brant, Cory 0000-0002-0919-1566","orcid":"https://orcid.org/0000-0002-0919-1566","contributorId":223422,"corporation":false,"usgs":true,"family":"Brant","given":"Cory","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950996,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Benes, Lynn","contributorId":363048,"corporation":false,"usgs":false,"family":"Benes","given":"Lynn","affiliations":[{"id":86597,"text":"Great Lakes Science Center (retired)","active":true,"usgs":false}],"preferred":false,"id":950997,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kozlauskos, 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":"

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 (Acropora palmata) and staghorn coral (Acropora cervicornis), 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.

","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 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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":"

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.  

","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 Document"},"url":"https://pubs.usgs.gov/publication/fs20253052/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3052"},{"id":496885,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2025/3052/VersionHistory.txt","size":"4.0 KB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2025-3052 version history"},{"id":496778,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3052/images"},{"id":496543,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14QM36P","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Santa Maria Basin Province, California—Assessment unit boundaries, assessment input data, and fact sheet data tables"},{"id":496542,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3052/fs20253052.pdf","text":"Report","size":"5.67 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":"

Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046

","tableOfContents":"","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":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","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":"

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.

","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 fiversions on streamflow in the Strawberry Creek watershed, San Bernardino County, California, using an integrated hydrological model","interactions":[],"lastModifiedDate":"2025-12-19T17:06:16.579717","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 fiversions on streamflow in the Strawberry Creek watershed, San Bernardino County, California, using an integrated hydrological model","docAbstract":"

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.

","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 fiversions 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,"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":70272698,"text":"70272698 - 2025 - Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system","interactions":[],"lastModifiedDate":"2025-12-04T15:30:13.079195","indexId":"70272698","displayToPublicDate":"2025-11-21T09:23:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system","docAbstract":"

he Hayward, Calaveras, and Rodgers Creek faults in the San Francisco Bay region of California have a high probability of producing a large earthquake in the next decades. Although these faults creep, the creep is insufficient to keep up with their relatively rapid slip rates on their deepest sections, so they have been storing tectonic strain since their last large earthquakes, with the Hayward’s and Rodgers Creek’s more than 150 yr ago. We do not know what the next large Hayward–Calaveras–Rodgers Creek earthquakes will look like or how strongly they will shake the San Francisco Bay region. Harris et al. (2021) used the 3D dynamic (spontaneous) rupture method to simulate large earthquakes on these creeping faults. In this article, we examine the resulting simulated long‐period (T > 1 s) ground shaking from 0 to 50 km distance, for earthquakes nucleating on the Hayward fault and earthquakes nucleating on the Rodgers Creek fault. We compare these simulated long‐period ground motions with the Boore et al. (2014) well‐established empirically based ground‐motion model suitable for the slowest material velocity in our 3D velocity structure. We find that the simulated long‐period ground motions from the creeping‐fault earthquake scenarios produce a reasonable agreement with the empirical expectations if frictional cohesion is included only where it is appropriate.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250194","usgsCitation":"Harris, R.A., Barall, M., Parker, G.A., and Hirakawa, E.T., 2025, Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system: Seismological Research Letters, https://doi.org/10.1785/0220250194.","ipdsId":"IP-170265","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":497108,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250194","text":"Publisher Index Page"},{"id":497053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Hayward, Calaveras, and Rodgers Creek faults, San Francisco Bay region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124,\n 39\n ],\n [\n -124,\n 36\n ],\n [\n -120,\n 36\n ],\n [\n -120,\n 39\n ],\n [\n -124,\n 39\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, Michael 0000-0001-7724-8563 mbarall@usgs.gov","orcid":"https://orcid.org/0000-0001-7724-8563","contributorId":271197,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hirakawa, Evan Tyler 0000-0002-5720-0850","orcid":"https://orcid.org/0000-0002-5720-0850","contributorId":295776,"corporation":false,"usgs":true,"family":"Hirakawa","given":"Evan","email":"","middleInitial":"Tyler","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951361,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"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":"

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
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.

","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 (Alces alces americana) 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 (Alces alces americana) in northeastern North America","docAbstract":"

Lepidoptera 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 (Alces americanus americanus), 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.

","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 (Alces alces americana) 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":"

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 & Ashton, 2014, https://doi.org/10.1002/2013jf002941 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.

","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":"

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.

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 <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.

","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 of 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":"

Director, Volcano Science Center
U.S. Geological Survey
1300 SE Cardinal Court Bldg. 10
Vancouver, WA 98683

","tableOfContents":"","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":"

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.

","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":"

Astrogeology Science Center
U.S. Geological Survey
2255 N. Gemini Dr.
Flagstaff, AZ 86001

","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":"

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 Acer saccharinum-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 Quercus spp. or Populus deltoides, 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 Quercus spp., or succession to more shade-tolerant species in the case of Populus 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.

","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":"

Great subduction earthquakes (Mw ≥ 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.

","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 ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Biemiller, James Burkhardt 0000-0001-6663-7811","orcid":"https://orcid.org/0000-0001-6663-7811","contributorId":343684,"corporation":false,"usgs":true,"family":"Biemiller","given":"James","email":"","middleInitial":"Burkhardt","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":951617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gabriel, Alice-Agnes","contributorId":204611,"corporation":false,"usgs":false,"family":"Gabriel","given":"Alice-Agnes","email":"","affiliations":[{"id":36958,"text":"LMU Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":951618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staisch, Lydia M. 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":"

Study region

The Arkansas Headwaters Basin, an intermountain basin in the Southern Rocky Mountains of North America.

Study focus

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.

New hydrological insights for the region

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.
","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":"

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.

","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":"

Director, Upper Midwest Water Science Center
U.S. Geological Survey
1 Gifford Pinchot Dr.
Madison, WI 53726

Contact Pubs Warehouse

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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.

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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 (Multiscale Inception-based Manhattan Attention Residual 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.

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Local adaptation may facilitate range expansion during invasions, but the mechanisms promoting destructive invasions remain unclear. Cheatgrass (Bromus tectorum), 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. Understanding how environment and gene flow shape invasive adaptation is critical for managing ongoing invasions.

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