Objective
The Lake Winnebago system in Wisconsin supports a popular winter spear fishery for Lake Sturgeon Acipenser fulvescens. Setting harvest caps for this fishery relies on estimating instantaneous natural mortality rate (M), which can be done using age-based approaches or capture–recapture models that incorporate recoveries of fish with passive integrated transponder (PIT) tags or detections of fish with acoustic transmitters. Our objectives were to determine (1) if recent estimates of exploitation (u) have exceeded the 5% harvest cap, (2) if M and total mortality rates are similar among estimation methods that rely on age estimates or capture–recapture methods, and (3) if potential differences in mortality estimates would affect harvest caps.
Methods
Harvest of PIT-tagged fish was used to evaluate u from 2010 to 2019. Catch curves incorporating corrected fin ray ages were used to estimate total mortality and M for fish collected from 2010 to 2019. Capture–recapture models were used to estimate annual survival and M from detections of fish with acoustic transmitters from 2007 to 2019 and recoveries of PIT-tagged fish from 1999 to 2020. Mortality estimates were used to calculate and compare sex-specific harvest caps among estimation methods.
Results
Observed u did not exceed 5% for either sex between 2010 and 2019. Estimates of M varied among methods (males: M = 0.001–0.134; females: M = 0.001–0.131), with PIT-based models consistently providing the lowest and telemetry-based models providing the highest estimates. Simulations indicated that female u has limited potential to exceed 5% if M from fin ray ages or telemetry is used to set harvest caps, while PIT-based simulations showed no indication of cap exceedance.
Conclusions
Harvest management practices in the Lake Winnebago system appear to have kept Lake Sturgeon exploitation below the 5% harvest cap from 2010 to 2019. Capture–recapture models relying on PIT tags appear to provide the most precise approach for setting harvest caps for this fishery.
","language":"English","publisher":"American Fisheries Society","doi":"10.1093/najfmt/vqaf044","usgsCitation":"Shrovnal, J., Stadig, M., Raabe, J., and Isermann, D.A., 2025, Estimating mortality of Lake Sturgeon in the Lake Winnebago system using traditional age-based approaches and capture–recapture models: North American Journal of Fisheries Management, v. 45, no. 4, p. 616-632, https://doi.org/10.1093/najfmt/vqaf044.","productDescription":"17 p.","startPage":"616","endPage":"632","ipdsId":"IP-171106","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493716,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lake Winnebago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.55626587032395,\n 44.217649685789354\n ],\n [\n -88.55626587032395,\n 43.78463531825764\n ],\n [\n -88.25352305766155,\n 43.78463531825764\n ],\n [\n -88.25352305766155,\n 44.217649685789354\n ],\n [\n -88.55626587032395,\n 44.217649685789354\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"45","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Shrovnal, Jeremiah S.","contributorId":359167,"corporation":false,"usgs":false,"family":"Shrovnal","given":"Jeremiah S.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":945008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stadig, Margaret H.","contributorId":359168,"corporation":false,"usgs":false,"family":"Stadig","given":"Margaret H.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":945009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raabe, Joshua K.","contributorId":348735,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua K.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":945010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945011,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268143,"text":"sir20235101 - 2025 - Hydraulic conductivity and transmissivity estimates from slug tests in wells within the Mississippi Alluvial Plain, Arkansas and Mississippi, 2020","interactions":[],"lastModifiedDate":"2026-01-26T19:15:04.764709","indexId":"sir20235101","displayToPublicDate":"2025-07-02T07:37:05","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5101","displayTitle":"Hydraulic Conductivity and Transmissivity Estimates from Slug Tests in Wells Within the Mississippi Alluvial Plain, Arkansas and Mississippi, 2020","title":"Hydraulic conductivity and transmissivity estimates from slug tests in wells within the Mississippi Alluvial Plain, Arkansas and Mississippi, 2020","docAbstract":"During the spring and summer of 2020, the U.S. Geological Survey conducted single-well slug tests on selected observation wells within the Mississippi Alluvial Plain in Arkansas and Mississippi to estimate hydraulic conductivity and transmissivity values for the Mississippi River Valley alluvial and middle Claiborne aquifers. Well and aquifer data were collected from field measurements, well-construction reports, and published aquifer-thickness information. A total of 324 slug-in and slug-out tests were conducted on 48 wells by using mechanical slugs to displace the water column and submersible pressure transducers to record changes in water levels in the wells. Hydraulic conductivity of the aquifers in which the wells are screened was estimated by curve fitting the water-level-change data using aquifer test analysis software. Estimates of aquifer transmissivity were made by multiplying the estimated hydraulic conductivity value by the aquifer thickness at well locations. Mean hydraulic conductivity estimates for 44 observation wells screened in the Mississippi River Valley alluvial aquifer range from 3 to 401 feet per day, and mean transmissivity estimates range from 285 to 80,559 feet squared per day. Mean hydraulic conductivity estimates for four observation wells screened in units of the middle Claiborne aquifer range from 0.14 to 183 feet per day, and mean transmissivity estimates range from 55 to 67,913 feet squared per day. The results from these tests can be used to improve the understanding of water availability and groundwater migration, to refine groundwater models, and to ultimately provide stakeholders and decisionmakers better information for management of the groundwater resources within the Mississippi Alluvial Plain.
Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"Following the recovery of Peregrine Falcons (Falco peregrinus), the US Fish and Wildlife Service began a process to allow “take” (capture) of wild peregrines for falconry in the United States. Recently, that effort involved generating updated estimates of the collective abundance of the three North American peregrine subspecies: F. p. anatum, F. p. tundrius, and F. p. pealei (Peale's Peregrine Falcon). Because of the more limited distribution of F. p. pealei, we conducted an analysis specific to its geographic range. We analyzed data from a long-term banding and resighting program on three beaches on the southern coast of Washington, USA, to estimate the annual abundance of migrating and overwintering F. p. pealei, using the capture histories of 250 Peregrine Falcons, nearly all of which were captured during 1277 vehicle surveys between 1995 and 2024. Because we studied an open population of migratory individuals, we used a zero-inflated Poisson log-normal mark-resight model to estimate annual abundance. For the analyses, we partitioned our survey data into sighting periods, each of which extended from 1 September of one year to 31 May of the next. We anticipated that first-year F. p. pealei would be identified for falconry take, and our annual abundance estimates for first-year birds of this subspecies ranged from a high of 24.8 ± 6.1 (SE) individuals in the 2014–2015 sighting period to a low of 1.9 ± 1.4 individuals in the 2023–2024 sighting period. Peregrine Falcon abundance varied annually and appeared to decline during the last two sighting periods. Our sighting rate of marked peregrines was negatively associated with Bald Eagle (Haliaeetus leucocephalus) encounter rate. There was a lesser relationship to human activity, and we suspect the change in sighting rate was a behavioral response by Peregrine Falcons to the threat of kleptoparasitism by Bald Eagles. We currently lack comprehensive information about the natal origin of the individual peregrines in our study area, which prevented us from assessing the degree to which falconry take from the pool of falcons migrating to or through Washington might potentially impact local or regional abundances. Although a better understanding of natal origins is needed, our data add clarity to the migration and overwinter abundance of F. p. pealei on the Washington coast and may inform decisions about the take of this subspecies for falconry.
","language":"English","publisher":"BioOne","doi":"10.3356/jrr2482","usgsCitation":"Daniel E. Varland, Joseph B. Buchanan, Guthrie S. Zimmerman, Bauder, J.M., Tracy L. Fleming, Brian A. Millsap, 2025, Estimated annual abundance of migratory Peale's Peregrine Falcons in coastal Washington, USA: Journal of Raptor Research, v. 59, no. 3, p. 1-16, https://doi.org/10.3356/jrr2482.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-177337","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr2482","text":"Publisher Index Page"},{"id":500426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.72822793496042,\n 47.20172472210811\n ],\n [\n -124.72822793496042,\n 46.15365987938665\n ],\n [\n -123.42708843918685,\n 46.15365987938665\n ],\n [\n -123.42708843918685,\n 47.20172472210811\n ],\n [\n -124.72822793496042,\n 47.20172472210811\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Daniel E. Varland","contributorId":366594,"corporation":false,"usgs":false,"family":"Daniel E. Varland","affiliations":[{"id":37634,"text":"Coastal Raptors","active":true,"usgs":false}],"preferred":false,"id":956075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Joseph B. Buchanan","contributorId":366595,"corporation":false,"usgs":false,"family":"Joseph B. Buchanan","affiliations":[{"id":7113,"text":"private citizen","active":true,"usgs":false}],"preferred":false,"id":956076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guthrie S. Zimmerman","contributorId":366596,"corporation":false,"usgs":false,"family":"Guthrie S. Zimmerman","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":956077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tracy L. Fleming","contributorId":366597,"corporation":false,"usgs":false,"family":"Tracy L. Fleming","affiliations":[{"id":7113,"text":"private citizen","active":true,"usgs":false}],"preferred":false,"id":956079,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brian A. Millsap","contributorId":366598,"corporation":false,"usgs":false,"family":"Brian A. Millsap","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":956080,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268807,"text":"70268807 - 2025 - Arctic speleothems reveal nearly permafrost-free Northern Hemisphere in the Late Miocene","interactions":[],"lastModifiedDate":"2025-07-07T15:54:50.530354","indexId":"70268807","displayToPublicDate":"2025-07-01T10:46:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Arctic speleothems reveal nearly permafrost-free Northern Hemisphere in the Late Miocene","docAbstract":"Arctic warming is happening at nearly four times the global average rate. Long-term trends of permafrost dynamics cannot be estimated directly from monitoring of present-day thaw processes, requiring paleoclimate-proxy information. Here we use cave carbonates (speleothems) from a northern Siberian cave to determine when the Northern Hemisphere was mostly permafrost-free. At present, thick continuous permafrost in this region prevents speleothem growth. In a series of partially eroded caves, speleothems grew during the late Tortonian stage (8.68 ± 0.09 Ma), a time when the geographic position of this site was already similar to today. Paleotemperatures reconstructed from speleothems show that mean annual air temperatures (MAAT) in the region were + 6.6°C to + 11.1°C, when contemporary global MAAT were ~ 4.5 °C higher than modern. Our findings provide direct evidence that warming to Tortonian-like temperatures would leave most of the Northern Hemisphere permafrost-free. This may release up to ~ 130 petagrams of carbon, enhancing further warming.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-025-60381-5","usgsCitation":"Vaks, A., Mason, A., Breitenbach, S., Giesche, A., Osinzev, A., Adrian, I., Kononov, A., Umbo, S., Lechleitner, F., Rosensaft, M., and Henderson, G., 2025, Arctic speleothems reveal nearly permafrost-free Northern Hemisphere in the Late Miocene: Nature Communications, v. 16, 5483, 13 p., https://doi.org/10.1038/s41467-025-60381-5.","productDescription":"5483, 13 p.","ipdsId":"IP-165979","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":492044,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-025-60381-5","text":"Publisher Index Page"},{"id":491740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, Mongolia, Russia","otherGeospatial":"Siberia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 140,\n 75\n ],\n [\n 90,\n 75\n ],\n [\n 90,\n 45\n ],\n [\n 140,\n 45\n ],\n [\n 140,\n 75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Vaks, Anton","contributorId":357620,"corporation":false,"usgs":false,"family":"Vaks","given":"Anton","affiliations":[{"id":85474,"text":"Geochemistry and Environmental Geology Division, Geological Survey of Israel, Jerusalem, 9692100, Israel","active":true,"usgs":false}],"preferred":false,"id":942040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mason, Andrew","contributorId":357621,"corporation":false,"usgs":false,"family":"Mason","given":"Andrew","affiliations":[{"id":85476,"text":"Department of Earth Sciences, Oxford University, Oxford, OX1 3AN United Kingdom","active":true,"usgs":false}],"preferred":false,"id":942041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breitenbach, Sebastian F.M.","contributorId":357622,"corporation":false,"usgs":false,"family":"Breitenbach","given":"Sebastian F.M.","affiliations":[{"id":84240,"text":"Department of Earth and Environmental Sciences, Northumbria University, Newcastle-Upon-Tyne, NE1 8ST, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":942042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giesche, Alena Maria 0000-0003-3673-7269","orcid":"https://orcid.org/0000-0003-3673-7269","contributorId":344659,"corporation":false,"usgs":true,"family":"Giesche","given":"Alena Maria","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":942043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osinzev, Alexander","contributorId":357623,"corporation":false,"usgs":false,"family":"Osinzev","given":"Alexander","affiliations":[{"id":84245,"text":"Speleoclub Arabika, St. Mamina-Sibiryaka 6a, 664058 Irkutsk, Russia","active":true,"usgs":false}],"preferred":false,"id":942044,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adrian, Irina","contributorId":357624,"corporation":false,"usgs":false,"family":"Adrian","given":"Irina","affiliations":[{"id":85477,"text":"Lena Delta Wildlife Reserve, Tiksi, Sakha Republic, 678400 Russia","active":true,"usgs":false}],"preferred":false,"id":942045,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kononov, Aleksandr","contributorId":357625,"corporation":false,"usgs":false,"family":"Kononov","given":"Aleksandr","affiliations":[{"id":85478,"text":"Irkutsk National Research Technical University, Irkutsk, 664074, Russia; Institute of the Earth's Crust, Russian Academy of Sciences, Siberian Branch, Irkutsk, 664033, Russia","active":true,"usgs":false}],"preferred":false,"id":942046,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Umbo, Stuart","contributorId":357626,"corporation":false,"usgs":false,"family":"Umbo","given":"Stuart","affiliations":[{"id":84240,"text":"Department of Earth and Environmental Sciences, Northumbria University, Newcastle-Upon-Tyne, NE1 8ST, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":942047,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lechleitner, Franziska A.","contributorId":357627,"corporation":false,"usgs":false,"family":"Lechleitner","given":"Franziska A.","affiliations":[{"id":85479,"text":"Department of Chemistry, Biochemistry and Pharmaceutical Sciences & Oeschger Centre for Climate Change Research, Bern, 2012, Switzerland","active":true,"usgs":false}],"preferred":false,"id":942048,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rosensaft, Marcelo","contributorId":357628,"corporation":false,"usgs":false,"family":"Rosensaft","given":"Marcelo","affiliations":[{"id":85480,"text":"Geological Mapping Division, Geological Survey of Israel, Jerusalem, 9692100, Israel","active":true,"usgs":false}],"preferred":false,"id":942049,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Henderson, Gideon M.","contributorId":357629,"corporation":false,"usgs":false,"family":"Henderson","given":"Gideon M.","affiliations":[{"id":85476,"text":"Department of Earth Sciences, Oxford University, Oxford, OX1 3AN United Kingdom","active":true,"usgs":false}],"preferred":false,"id":942050,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70268753,"text":"70268753 - 2025 - Hydrologic response of groundwater and streamflow to natural and anthropogenic drivers of change in headwaters of the upper Colorado River basin during recent wet (1982–1999) and drought (2000–2022) conditions","interactions":[],"lastModifiedDate":"2025-07-08T16:36:55.393587","indexId":"70268753","displayToPublicDate":"2025-07-01T09:29:50","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":"Hydrologic response of groundwater and streamflow to natural and anthropogenic drivers of change in headwaters of the upper Colorado River basin during recent wet (1982–1999) and drought (2000–2022) conditions","docAbstract":"Study region: Headwaters of the upper Colorado River basin (UCOL), USA
Study focus: Surface-water and groundwater numerical models incorporating water-use information were used to investigate changes in climate, water use, and simulated hydrologic responses of snow processes, evapotranspiration, groundwater, and streamflow during recent wet (1982–1999) and drought (2000–2022) periods in the headwater subregions of the upper Colorado River basin.
New hydrologic insights for the region: Decreases in average streamflow between wet and drought periods ranged from 20 % in the Colorado River headwaters subregion to 23 % in the Gunnison River headwaters subregion. Like streamflow, average surface runoff was statistically less during the drought than the wet period, with decreases from 24–31 % in the headwaters. On a volume basis, runoff decreases were greater than streamflow decreases in both the Colorado River and Gunnison River headwaters. Although the amount of water-year groundwater discharge to streams remained nearly the same between the wet and drought periods, groundwater as a percentage of streamflow increased between the wet and drought periods, highlighting the importance of groundwater in sustaining streamflow during drought conditions. Multiple linear regression analyses revealed that snowmelt-only models were better than the best precipitation and temperature models at explaining streamflow variability from all headwater subregions for both the wet and drought periods.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2025.102554","usgsCitation":"Tillman, F.D., Masbruch, M.D., Knight, J., Engott, J.A., Lopez, S.F., Jones, C.J., Dickinson, J.E., and Miller, M., 2025, Hydrologic response of groundwater and streamflow to natural and anthropogenic drivers of change in headwaters of the upper Colorado River basin during recent wet (1982–1999) and drought (2000–2022) conditions: Journal of Hydrology: Regional Studies, v. 60, 102554, 19 p., https://doi.org/10.1016/j.ejrh.2025.102554.","productDescription":"102554, 19 p.","ipdsId":"IP-176624","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":492063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2025.102554","text":"Publisher Index Page"},{"id":491819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"upper Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.83855791620346,\n 42.22226218528715\n ],\n [\n -110.83855791620346,\n 35.70206223466056\n ],\n [\n -106.7875698491801,\n 35.70206223466056\n ],\n [\n -106.7875698491801,\n 42.22226218528715\n ],\n [\n -110.83855791620346,\n 42.22226218528715\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Jacob E. 0000-0003-0271-9011","orcid":"https://orcid.org/0000-0003-0271-9011","contributorId":204140,"corporation":false,"usgs":true,"family":"Knight","given":"Jacob E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engott, John A. 0000-0003-1889-4519 jaengott@usgs.gov","orcid":"https://orcid.org/0000-0003-1889-4519","contributorId":1142,"corporation":false,"usgs":true,"family":"Engott","given":"John","email":"jaengott@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941863,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lopez, Samuel Francisco 0000-0002-3544-7465","orcid":"https://orcid.org/0000-0002-3544-7465","contributorId":344607,"corporation":false,"usgs":true,"family":"Lopez","given":"Samuel","email":"","middleInitial":"Francisco","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941864,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Casey J.R. 0000-0002-6991-8026","orcid":"https://orcid.org/0000-0002-6991-8026","contributorId":223364,"corporation":false,"usgs":true,"family":"Jones","given":"Casey","email":"","middleInitial":"J.R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941865,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941866,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Matthew P. 0000-0002-2537-1823","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":220622,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":941867,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70270831,"text":"70270831 - 2025 - Lake Ontario spring prey fish bottom trawl survey and Alewife assessment, 2025","interactions":[],"lastModifiedDate":"2025-08-26T14:31:22.279024","indexId":"70270831","displayToPublicDate":"2025-07-01T09:00:14","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Lake Ontario spring prey fish bottom trawl survey and Alewife assessment, 2025","docAbstract":"The multi-agency Lake Ontario spring prey fish survey quantifies changes in pelagic prey fish populations, in particular Alewife Alosa pseudoharengus, which are the primary prey supporting the lake’s sport fishes. The 2025 survey included 230 trawls in the main lake and embayments and sampled depths from 5.5 to 245 m (15 – 810 ft). The survey captured 504,541 fish from 33 species with a total weight of 7,301 kg (16,095 lbs). Alewife were 85% of the total catch numerically, while Yellow Perch Perca flavescens, Round Goby Neogobius melanostomus, Deepwater Sculpin Myoxocephalus thompsonii, and Rainbow Smelt Osmerus mordax, comprised 5%, 4%, 3%, and 1% of the catch, respectively.
The Alewife biomass index decreased from 2024 to 2025 (83 to 78 kg·ha-1) however due to an abundant 2024 Alewife year class the density index increased from 3,727 to 9,182 fish per ha-1. The Age-1 biomass (2024 year class) was 27.5 kg·ha-1, which was the greatest value estimated in the modern time series (since 1997). The abundance estimate for the 2024 Alewife year class (13.8 billion) was more than three times the number of all other Alewife combined (3.6 billion). Adult Alewife abundance decreased in 2025 which was consistent with predictions from 2024. Those predictive models suggested that adult Alewife biomass is likely to increase in 2026 and 2027, as the 2024 year class matures. Alewife condition declined in 2025, which was expected given the relatively high Alewife density. Acoustic-based prey fish densities were greater than previous years acoustic estimates especially at depths from 180 – 220 m (591 – 722 ft), however acoustic based densities continue to be substantially lower than trawl-based densities.
The 2025 biomass index was similar to 2024 for Emerald Shiner Notropis atherinoides and Threespine Stickleback Gasterosteus aculeatus, but was lower for Rainbow Smelt, and higher for Cisco Coregonus artedi. Three purported Bloater Coregonus hoyi were caught in the 2025 survey. Analysis of archived tissue identified five Bloater captured in previous surveys which increased the total number caught in Lake Ontario bottom trawl surveys to n = 24, since restoration stocking began in 2012. Whole lake density estimates of Lake Whitefish Coregonus clupeaformis increased in 2025 relative to 2024. Those density increases were due to increased catches in Canadian waters, as density in U.S. waters has remained low. The density index for wild or naturally reproduced juvenile Lake Trout Salvelinus namaycush increased in 2025 relative to 2024, with the most frequent catches occurring in waters around the Niagara River.
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0009-0002-0248-4523","orcid":"https://orcid.org/0009-0002-0248-4523","contributorId":339870,"corporation":false,"usgs":true,"family":"Stahl","given":"Scott","email":"","middleInitial":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":947166,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mitchinson, Olivia Margaret 0009-0002-7999-1160","orcid":"https://orcid.org/0009-0002-7999-1160","contributorId":339869,"corporation":false,"usgs":true,"family":"Mitchinson","given":"Olivia","email":"","middleInitial":"Margaret","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":947167,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Malley, Brian 0000-0001-5035-3080 bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":947168,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berry, Nicole Lynn 0000-0002-7889-197X","orcid":"https://orcid.org/0000-0002-7889-197X","contributorId":347450,"corporation":false,"usgs":true,"family":"Berry","given":"Nicole Lynn","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":947169,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Anweiler, Katie Victoria 0000-0002-9344-0691","orcid":"https://orcid.org/0000-0002-9344-0691","contributorId":334260,"corporation":false,"usgs":true,"family":"Anweiler","given":"Katie","email":"","middleInitial":"Victoria","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":947170,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"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 Center","active":true,"usgs":true}],"preferred":true,"id":947171,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70270114,"text":"70270114 - 2025 - Modeling seawater intrusion along the Alabama coastline using physical and machine learning models to evaluate the effects of multiscale natural and anthropogenic stresses","interactions":[],"lastModifiedDate":"2025-08-11T15:22:04.615437","indexId":"70270114","displayToPublicDate":"2025-07-01T08:15:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Modeling seawater intrusion along the Alabama coastline using physical and machine learning models to evaluate the effects of multiscale natural and anthropogenic stresses","docAbstract":"Seawater intrusion threatens groundwater resources in coastal regions, including southern Baldwin County, Alabama, where the freshwater-saltwater interface dynamics remain poorly understood. To address this gap, this study uses combined physics-based and machine-learning models to quantify seawater intrusion caused by natural (storm surges) and anthropogenic (human activities) perturbations. The long short-term memory network and wavelet analysis were used to assess vertical aquifer vulnerabilities, revealing that the shallow part of the Coastal lowlands aquifer system (CL1) in the southern Baldwin County region is more susceptible to sea level rise and groundwater extraction than deeper aquifers. Based on these findings, a cross-sectional numerical model (physics approach) for the CL1 aquifer was developed to evaluate tidal and storm surge effects, using Tropical Storm Claudette (June 2021) as a case study. Results showed that tidal fluctuations had a minimal impact on the saltwater-freshwater interface location, whereas storm surges caused substantial inland movement, with effects lasting for nine months. The steady-state version of the three-dimensional (3D) physical model predicted seawater intrusion across the entire area, and convolutional neural network-based modeling further validated the model results. The 3D physical model was also applied to a smaller area to assess human impact on the saltwater interface due to two groundwater pumping scenarios (± 50% of the baseline pumping rate). Results revealed that a 50% increase in groundwater withdrawals caused seawater to advance ~ 320 m inland, whereas a 50% reduction led to a ~ 270-meter retreat. This study highlights the vulnerability of Alabama’s shallow coastal aquifers to seawater intrusion due to storm surges and human activities, and demonstrates that combining physics-based models with machine learning approaches can improve groundwater predictions, though its accuracy depends on the availability of site-specific data.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-06613-6","usgsCitation":"Gholizadeh, H., Clement, T., Green, C., Tick, G.R., Plattner, A., and Zhang, Y., 2025, Modeling seawater intrusion along the Alabama coastline using physical and machine learning models to evaluate the effects of multiscale natural and anthropogenic stresses: Scientific Reports, v. 15, 21699, 18 p., https://doi.org/10.1038/s41598-025-06613-6.","productDescription":"21699, 18 p.","ipdsId":"IP-175082","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":494188,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-06613-6","text":"Publisher Index Page"},{"id":493932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","county":"Baldwin County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.91513509957319,\n 30.59435431566419\n ],\n [\n -87.91513509957319,\n 30.204167726022206\n ],\n [\n -87.32356119618261,\n 30.204167726022206\n ],\n [\n -87.32356119618261,\n 30.59435431566419\n ],\n [\n -87.91513509957319,\n 30.59435431566419\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gholizadeh, Hossein","contributorId":352234,"corporation":false,"usgs":false,"family":"Gholizadeh","given":"Hossein","affiliations":[{"id":84136,"text":"Department of Geological Sciences, University of Alabama, Tuscaloosa, AL 35487, USA","active":true,"usgs":false}],"preferred":false,"id":945513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clement, T. 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Since 2014, multiple large-scale seabird mortality events have occurred in Alaska waters, with STXs detected in some carcasses. To investigate the sublethal behavioral and ecological effects of STX on seabirds, we conducted captive dosing trials with common murres (Uria aalge). We gavaged purified STX (dehydrated STX dihydrocholoride, STX-diHCl) or an Alexandrium catenella culture extract into murres, monitored behavioral responses and recovery times, and assessed tissue concentrations in individuals that died or were euthanized. Using a modified up-and-down dose-finding scheme, we estimated a median effective dose (ED50) of 89 µg STX-equivalents (eq) kg-1 for STX-diHCl and 366 µg STX-eq kg-1 for the A. catenella extract based on ecologically relevant behavior. Differences between the ED50 estimates could reflect uncertainties in toxin equivalency factors for PST congeners, which are based on studies using purified toxins in mice and may vary across taxa or toxin matrices. Post-dosing concentrations of STX varied by tissue type across individuals, with quantifiable levels ranging from 3 to 379 µg STX-eq 100g-1. Evidence of biotransformation of STX in A. catenella extract-dosed birds was observed. We also measured the chronic effects of dosing with sublethal levels of STX-diHCl over seven-days, which resulted in lower fish intake among treatment birds compared to controls (-187 g day-1). This investigation improves our understanding of the ecological effects of PSTs on seabird health.
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With dam removals, many biological outcomes remain understudied due to a lack of pre-impact data and complex ecosystem recovery timeframes. To avoid this, we created the KRRP molecular library, an environmental specimen bank, for long-term curation of environmental nucleic acids collected from the restoration project. We used these initial samples, environmental DNA metabarcoding, and generalized linear mixed-effects models to evaluate patterns of pre-dam removal fish richness and diversity. Demonstrating the suitability to resolve biological differences, the baseline shows that tributary and mainstem streams had greater native fish diversity and 2.3–10.7 times greater native fish species richness than reservoirs. These and future sampling efforts should, at a minimum, allow tracking of fish community response to ecosystem restoration. Anticipating the acceleration of omics innovation, we preserved samples for long-term storage and identified requisite phases for sustained function and adaptation of the molecular library: securing a physical storage facility for genetic material, establishing a governance structure, and confirming support for archive management.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-07042-1","usgsCitation":"Keel, D.J., Karpenko, K., Blankenship, S.M., Schumer, G., O’Rourke, O., Ostberg, C.O., Chase, D.A., and Duda, J.J., 2025, A molecular specimen bank for contemporary and future study captures landscape-scale biodiversity baselines before Klamath River dam removal: Scientific Reports, v. 15, 20679, 16 p., https://doi.org/10.1038/s41598-025-07042-1.","productDescription":"20679, 16 p.","ipdsId":"IP-173262","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":502465,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-07042-1","text":"Publisher Index Page"},{"id":502171,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Klamath River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.187198933266,\n 42.294953678476304\n ],\n [\n -122.187198933266,\n 41.842920701832696\n ],\n [\n -121.52967806160167,\n 41.842920701832696\n ],\n [\n -121.52967806160167,\n 42.294953678476304\n ],\n [\n -122.187198933266,\n 42.294953678476304\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Keel, Dylan J. 0009-0006-8445-7033","orcid":"https://orcid.org/0009-0006-8445-7033","contributorId":369238,"corporation":false,"usgs":false,"family":"Keel","given":"Dylan","middleInitial":"J.","affiliations":[{"id":87745,"text":"Resource Environmental Solutions, LLC. 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Remote sensing and fire modelling experts gathered to: (1) assess the suitability of a variety of classified, commercial, and publicly available remotely sensed datasets for advancing fire model evaluation; (2) develop ideas on how to integrate remotely sensed data products with fire model inputs and outputs; and (3) identify any barriers and limitations to performing an evaluation of next-generation fire models. The USGS National Civil Applications Center, USGS Earth Resources Observation and Science Center, and USGS Fort Collins Ecosystem Science Center presented information on remote sensing datasets for three Arizona wildfire case studies. The development teams of the Fire Dynamics Simulator and QUIC-Fire fire behavior models presented their models and current evaluation methodologies. Interspersed with these presentations were discussions regarding how to expand current wildfire remote sensing data collection efforts beyond operational needs to assist in future fire modeling.
Workshop participants agreed that several of the remote sensing datasets have potential for wildfire model evaluation. However, participants also identified several barriers and complications to performing a model evaluation including key gaps in wildfire datasets; uncertainties related to model fire-atmosphere reinitiation; lack of ground truthing and atmospheric correction of remotely sensed datasets; and differences in spatial, geolocation, radiometric, and temporal resolutions between the datasets and models. Further, the absence of standardized methodologies for image interpretation, poor understanding of sensor capabilities and limitations, and a lack of automation also hinder model evaluation efforts. Based on feedback from this workshop, USGS fire modelers are considering a project to address the uncertainties related to fire model reinitiation and encouraging fire practitioners to collaborate with remote sensing experts on wildland fires to improve data collection for a broader community of practice. Additionally, multiagency efforts are in development for a comprehensive cross-sensor validation and ground-truth campaign to test spatial, spectral, and geolocation sensor capabilities, determine limitations, and identify observational gaps for future sensor development and acquisition.
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\"}}]}","contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118
Seawater intrusion (SWI) affects coastal landscapes worldwide. Here we describe the hydrologic pathways through which SWI occurs - over land via storm surge or tidal flooding, under land via groundwater transport, and through watersheds via natural and artificial surface water channels—and how human modifications to those pathways alter patterns of SWI. We present an approach to advance understanding of spatiotemporal patterns of salinization that integrates these hydrologic pathways, their interactions, and how humans modify them. We use examples across the East Coast of the United States that exemplify mechanisms of salinization that have been reported around the planet to illustrate how hydrologic connectivity and human modifications alter patterns of SWI. Finally, we suggest a path for advancing SWI science that includes (a) deploying standardized and well-distributed sensor networks at local to global scales that intentionally track SWI fronts, (b) employing remote sensing and geospatial imaging techniques targeted at integrating above and belowground patterns of SWI, and (c) continuing to develop data analysis and model-data fusion techniques to measure the extent, understand the effects, and predict the future of coastal salinization.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR038720","usgsCitation":"Helton, A., Dennedy-Frank, J., Emanuel, R., Neubauer, S.C., Adams, K., Ardon, M., Band, L., Befus, K.A., Borstlap, H., Duberstein, J., Gold, A., Kominoski John, Manda, A., Michael, H.A., Moysey, S., Myers-Pigg, A., Neville, J.A., Noe, G.E., Panthi, J., Pezeshki, E., Sirianni, M., and Ward.Nicolas, 2025, Over, under, and through: Hydrologic connectivity and the future of coastal landscape salinization: Water Resources Research, v. 61, no. 7, e2024WR038720, 8 p., https://doi.org/10.1029/2024WR038720.","productDescription":"e2024WR038720, 8 p.","ipdsId":"IP-167925","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":492056,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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example from Panamint Valley, southeastern California","interactions":[],"lastModifiedDate":"2025-12-16T15:46:46.130415","indexId":"70273107","displayToPublicDate":"2025-06-27T09:40:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2626,"text":"Lithosphere","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal variations in strain release and seismic rupture in multifault systems: An example from Panamint Valley, southeastern California","docAbstract":"Geometrically complex, multifault ruptures have been observed in recent, damaging earthquakes in southeastern California, sparking renewed efforts to identify physical conditions that promote or inhibit fault discontinuity-spanning coseismic ruptures. The likelihood of ruptures propagating across fault discontinuities is thought to be partly controlled by fault geometries, rupture direction, and the history of strain release. However, these parameters vary in space and time over multiple earthquake cycles, making it difficult to forecast the likelihood that an earthquake on one fault will trigger rupture on a nearby fault. Here we use tectono-geomorphic mapping of a geometrically complex fault zone in Panamint Valley, southeastern California, to assess spatiotemporal variations of paleo-rupture patterns and geometries of fault discontinuities over multiple earthquake cycles. First, we identify ten generations of late Pleistocene to Holocene alluvium using geomorphic parameters and luminescence dating to constrain ages of alluvium and bracket late Holocene earthquake timing. Then, we quantify slip kinematics using high-resolution structure from motion digital surface models. We find the Panamint Valley transtensional relay (PVTR) hosted four late Holocene earthquakes, bracketed to ~5.8–3.4 ka, ~3.8–2.2 ka, ~2.4–0.6 ka, and ~0.64–0.16 ka, with ~0.6–1.1 m of slip per event, correlative to Mw ≈ 6.7–6.9 earthquakes. Additionally, we find similarities in earthquake timing on the Ash Hill, PVTR, and Panamint Valley faults and similarities in the slip magnitude and slip kinematics between the Ash Hill and PVTR faults, implying that the PVTR may co-rupture with nearby faults. Paleo-rupture patterns indicate that seismogenic strain transfer may occur through the PVTR, along different combinations of fault segments and jump distances, over multiple earthquake cycles. These data highlight the utility of tectono-geomorphic mapping in evaluating paleo-rupture patterns and suggest that the PVTR may act to propagate and/or arrest rupture between the Ash Hill and Panamint Valley faults.
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Special 15, lithosphere_2024_187, 38 p., https://doi.org/10.2113/2024/lithosphere_2024_187.","productDescription":"lithosphere_2024_187, 38 p.","ipdsId":"IP-167806","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":497727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2113/2024/lithosphere_2024_187","text":"Publisher Index Page"},{"id":497572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Panamint Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.5,\n 36.333\n ],\n [\n -117.5,\n 35.75\n ],\n [\n -117,\n 35.75\n ],\n [\n -117,\n 36.333\n ],\n [\n -117.5,\n 36.333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2024","issue":"Special 15","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"LaPlante, Aubrey 0000-0003-4770-2619","orcid":"https://orcid.org/0000-0003-4770-2619","contributorId":331133,"corporation":false,"usgs":false,"family":"LaPlante","given":"Aubrey","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":952351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regalla, Christine 0000-0003-2975-8336","orcid":"https://orcid.org/0000-0003-2975-8336","contributorId":254361,"corporation":false,"usgs":false,"family":"Regalla","given":"Christine","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":952352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sethanant, Israporn","contributorId":364204,"corporation":false,"usgs":false,"family":"Sethanant","given":"Israporn","affiliations":[{"id":86768,"text":"University of Melbourne (Australia)","active":true,"usgs":false}],"preferred":false,"id":952353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":952354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, Harrison J. 0000-0002-4555-7473","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":207019,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":952355,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268748,"text":"70268748 - 2025 - Catalyzing change: A literature review on the implementation of the Nature Futures Framework","interactions":[],"lastModifiedDate":"2025-07-09T13:23:12.296206","indexId":"70268748","displayToPublicDate":"2025-06-27T08:12:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5318,"text":"Sustainability Science","active":true,"publicationSubtype":{"id":10}},"title":"Catalyzing change: A literature review on the implementation of the Nature Futures Framework","docAbstract":"The Nature Futures Framework (NFF), developed under the Intergovernmental Science–Policy Platform on Biodiversity and Ecosystem Services (IPBES), serves as a catalyst for advancing new scenarios and models focused on biodiversity and ecosystem services within the broader research community. In particular, the framework facilitates the development of scenarios and models that can help guide change processes toward desirable futures for nature and people. This paper assesses 31 studies that have engaged with the NFF since its introduction in 2020, aiming to identify which research areas have been addressed, and where development needs remain. The applications exhibit a large diversity in terms of locations, spatial scales, methods, outputs, and stakeholder involvement. The most common use of the framework has been in developing visions and scenarios. Nearly all studies engaged with diverse values of nature through the framework’s fundamental value perspectives: ‘Nature for Society’, ‘Nature for Nature’, and ‘Nature as Culture/One with Nature’. While the framework is generally perceived as useful, challenges remain in integrating the NFF across multiple scales and fully incorporating plural values, particularly in measuring relational aspects and avoiding Western-centric biases. Future research priorities include developing integrated, quantitative studies and exploring transformative pathways to enhance the framework's effectiveness in driving sustainable outcomes. Overall, the growing body of work using the NFF provides a strong foundation for distilling best practices, facilitating large-scale applications, and achieving the framework's objectives.","language":"English","publisher":"Springer","doi":"10.1007/s11625-025-01682-y","usgsCitation":"Okayasu, S., Kuiper, J.J., Halouani, G., Kim, H., Miller, B.W., Duran, A., Angelique, V., Schoolenberg, M., Hashimoto, S., and Lundquist, C.J., 2025, Catalyzing change: A literature review on the implementation of the Nature Futures Framework: Sustainability Science, 20 p., https://doi.org/10.1007/s11625-025-01682-y.","productDescription":"20 p.","ipdsId":"IP-171087","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":492077,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11625-025-01682-y","text":"Publisher Index Page"},{"id":491801,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Okayasu, Sana","contributorId":228932,"corporation":false,"usgs":false,"family":"Okayasu","given":"Sana","affiliations":[{"id":41529,"text":"PBL","active":true,"usgs":false}],"preferred":false,"id":941837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuiper, Jan J.","contributorId":222013,"corporation":false,"usgs":false,"family":"Kuiper","given":"Jan","email":"","middleInitial":"J.","affiliations":[{"id":40465,"text":"Stockholm Resilience Centre, Stockholm University","active":true,"usgs":false}],"preferred":false,"id":941838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halouani, Ghassen","contributorId":228942,"corporation":false,"usgs":false,"family":"Halouani","given":"Ghassen","email":"","affiliations":[],"preferred":false,"id":941839,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kim, HyeJin","contributorId":228945,"corporation":false,"usgs":false,"family":"Kim","given":"HyeJin","email":"","affiliations":[],"preferred":false,"id":941840,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":941841,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duran, America Paz 0000-0001-9719-7388","orcid":"https://orcid.org/0000-0001-9719-7388","contributorId":357584,"corporation":false,"usgs":false,"family":"Duran","given":"America Paz","affiliations":[{"id":85462,"text":"Instituto de Ecologia y Biodiversidad, Chile","active":true,"usgs":false}],"preferred":false,"id":941842,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Angelique, Vermeer 0000-0002-1990-6633","orcid":"https://orcid.org/0000-0002-1990-6633","contributorId":357585,"corporation":false,"usgs":false,"family":"Angelique","given":"Vermeer","affiliations":[{"id":36496,"text":"PBL Netherlands Environmental Assessment Agency","active":true,"usgs":false}],"preferred":false,"id":941843,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schoolenberg, Machteld","contributorId":228931,"corporation":false,"usgs":false,"family":"Schoolenberg","given":"Machteld","email":"","affiliations":[{"id":41529,"text":"PBL","active":true,"usgs":false}],"preferred":false,"id":941844,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hashimoto, Shizuka","contributorId":228935,"corporation":false,"usgs":false,"family":"Hashimoto","given":"Shizuka","email":"","affiliations":[],"preferred":false,"id":941845,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lundquist, Carolyn J.","contributorId":213140,"corporation":false,"usgs":false,"family":"Lundquist","given":"Carolyn","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":941846,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70268866,"text":"70268866 - 2025 - Isotopic niche plasticity of American alligators within the southern Everglades","interactions":[],"lastModifiedDate":"2025-07-09T15:07:58.020309","indexId":"70268866","displayToPublicDate":"2025-06-27T08:03:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic niche plasticity of American alligators within the southern Everglades","docAbstract":"Hydrologic alterations within the Everglades have degraded American alligator (Alligator mississippiensis) habitat, reduced prey base, and increased physiological stress. Alligator body condition declined across many management areas from 2000 through 2014, prompting us to investigate the relationship between their intraspecific isotopic niche dynamics and body condition. Alligators within the estuary had a larger niche driven by a wider range in stable carbon isotope ratios than those sampled in freshwater habitats. Spatially, model predictability was higher at the smaller scale, reflecting the variability in basal sources and biochemistry among capture sites. Male niches were often larger than those of females, driven by wider ranges of δ13C values, suggesting that they differ in their proportional use of habitats and or resources. However, the similar ranges of δ15N values indicated both sexes foraged within the same trophic level. Furthermore, while not significantly different, large alligators often had a larger niche with elevated δ15N values compared to medium-sized alligators. Although alligators utilize similar stable carbon and nitrogen isotope pools through time, there was considerable temporal variability. These temporal variations in alligators’ isotopic niche were likely influenced by seasonal hydrologic fluctuations within each site, with their niches often being larger in the spring captures than the fall captures. Alligators’ body condition estimates were correlated with intraspecific niche characteristics, including the mean centroid distance between sexes and the interaction between male and female niche size and overlap, within a site, capture period, and year. The variability in intraspecific niche dynamics, landscape heterogeneity, and dynamic hydrology are considerations for designing sustainable management strategies to conserve and enhance alligator populations within the Everglades landscape.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0326148","usgsCitation":"Denton, M., Cherkiss, M., Mazzotti, F.J., Brandt, L.A., Godfrey, S.T., Johnson, D., and Hart, K., 2025, Isotopic niche plasticity of American alligators within the southern Everglades: PLoS ONE, v. 20, no. 6, e0326148, 29 p., https://doi.org/10.1371/journal.pone.0326148.","productDescription":"e0326148, 29 p.","ipdsId":"IP-152063","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":492082,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0326148","text":"Publisher Index Page"},{"id":491899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"southern Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.15227880692397,\n 26.64313806276658\n ],\n [\n -82.15227880692397,\n 25.088643124435762\n ],\n [\n -79.51780855484174,\n 25.088643124435762\n ],\n [\n -79.51780855484174,\n 26.64313806276658\n ],\n [\n -82.15227880692397,\n 26.64313806276658\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Denton, Mathew 0000-0002-1024-3722","orcid":"https://orcid.org/0000-0002-1024-3722","contributorId":210504,"corporation":false,"usgs":true,"family":"Denton","given":"Mathew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cherkiss, Michael 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":222180,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mazzotti, Frank J.","contributorId":146647,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank","email":"","middleInitial":"J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":942430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Laura A.","contributorId":146646,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":942431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godfrey, Sidney T.","contributorId":302877,"corporation":false,"usgs":false,"family":"Godfrey","given":"Sidney","email":"","middleInitial":"T.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":942432,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":203921,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942433,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":222407,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942434,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275013,"text":"70275013 - 2025 - Hemoglobin A1c is a retrospective indicator of denning in polar bears (Ursus maritimus)","interactions":[],"lastModifiedDate":"2026-04-10T15:03:40.29119","indexId":"70275013","displayToPublicDate":"2025-06-27T07:56:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Hemoglobin A1c is a retrospective indicator of denning in polar bears (Ursus maritimus)","title":"Hemoglobin A1c is a retrospective indicator of denning in polar bears (Ursus maritimus)","docAbstract":"The nutritional health of polar bears (Ursus maritimus) is tied to reproductive success, and fasting status can be used to infer recent reproductive history. However, the methods currently used to determine denning and fasting status have their limitations. We examined hemoglobin A1c (HbA1c), an integrative metric of average blood glucose levels over recent months, in free-ranging Southern Beaufort Sea polar bears to assess its usefulness in determining reproductive status and fasting. We compared HbA1c between bears recently in maternity dens that included spring-captured females that were accompanied by cubs-of-the-year (n = 38), and non-denned bears that included spring-captured females that were accompanied by 1- or 2-yr-old cubs (n = 39). We predicted that HbA1c would be higher in denned females compared to non-denned females, due to the combined effects of increased circulating glucose associated with insulin resistance from fasting and gestation, as well as the energy mobilization required during early lactation. HbA1c was measured in Polar Bear whole blood samples using an enzymatic assay for quantifying HbA1c and expressed as the percentage of glycated hemoglobin over total hemoglobin. Denned females had higher mean HbA1c (x̅ 4.70%, 95% CI = 4.54%, 4.86%) than non-denned (x̅ 4.38%, 95% CI = 4.23%, 4.53%, P = 0.005). We trained a binary logistic regression model to classify the probability of recent prior denning based on HbA1c and glucose, and the model classified denning with 75% accuracy. HbA1c can be used as an effective tool for determining denning history and could have implications for monitoring reproductive success.
","language":"English","doi":"\\10.1093/jmammal/gyaf033","usgsCitation":"Teman, S.J., Atwood, T.C., Laidre, K.L., Virgin, E.E., Rode, K.D., Rispoli, L.A., and Curry, E., 2025, Hemoglobin A1c is a retrospective indicator of denning in polar bears (Ursus maritimus): Journal of Mammalogy, v. 106, no. 5, p. 1167-1177, https://doi.org/\\10.1093/jmammal/gyaf033.","productDescription":"11 p.","startPage":"1167","endPage":"1177","ipdsId":"IP-170021","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":502681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alsaka, Northwest Territories, Yukon","otherGeospatial":"South Beaufort Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -157.19395086404143,\n 71.61659747066233\n ],\n [\n -157.19395086404143,\n 68.87521333179674\n ],\n [\n -121.11928026506885,\n 68.87521333179674\n ],\n [\n -121.11928026506885,\n 71.61659747066233\n ],\n [\n -157.19395086404143,\n 71.61659747066233\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"106","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Teman, Sarah J.","contributorId":352066,"corporation":false,"usgs":false,"family":"Teman","given":"Sarah","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":959196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":959197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laidre, Kristin L.","contributorId":191798,"corporation":false,"usgs":false,"family":"Laidre","given":"Kristin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":959198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Virgin, Emily E.","contributorId":369807,"corporation":false,"usgs":false,"family":"Virgin","given":"Emily","middleInitial":"E.","affiliations":[{"id":87851,"text":"Center for Conservation and Research of Endangered Wildlife","active":true,"usgs":false}],"preferred":false,"id":959199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":959200,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rispoli, Louisa A.","contributorId":369808,"corporation":false,"usgs":false,"family":"Rispoli","given":"Louisa","middleInitial":"A.","affiliations":[{"id":87851,"text":"Center for Conservation and Research of Endangered Wildlife","active":true,"usgs":false}],"preferred":false,"id":959201,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Curry, Erin","contributorId":369809,"corporation":false,"usgs":false,"family":"Curry","given":"Erin","affiliations":[{"id":87851,"text":"Center for Conservation and Research of Endangered Wildlife","active":true,"usgs":false}],"preferred":false,"id":959202,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70269513,"text":"70269513 - 2025 - Avian navigation: Comparing the olfactory navigational “map” and the infrasound direction-finding hypotheses to aeronautics","interactions":[],"lastModifiedDate":"2025-11-20T16:42:10.638075","indexId":"70269513","displayToPublicDate":"2025-06-27T07:45:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2225,"text":"Journal of Comparative Physiology A","active":true,"publicationSubtype":{"id":10}},"title":"Avian navigation: Comparing the olfactory navigational “map” and the infrasound direction-finding hypotheses to aeronautics","docAbstract":"Animal navigation has long been a fascinating but bewildering subject. Humans and animals might well share similar navigational strategies because they developed within the same physical environments. A “map-and-compass” model has been proposed to explain the two-step avian navigational process, but the “map” step has remained elusive. Although scalar values from bicoordinate geomagnetic or atmospheric olfactory gradients have been considered foundational to the avian map, neither has proved convincing engendering decades of controversy. The olfactory map, and an alternative infrasound direction-finding (IDF) hypothesis, are discussed in this review. The olfactory map hypothesis currently requires extensive stable gradients of trace-odor ratios, but such gradients are highly unlikely within a turbulent and rapidly mixed lower atmosphere. The IDF hypothesis, on the other hand, postulates a two-step navigational model analogous to the maritime and aeronautical radio direction-finding technique. This review was also written to encourage further investigation, and direct testing, of the acoustic navigational process. The IDF hypothesis, at present, appears the better explanation of observed avian navigational behavior and accuracy within the atmosphere’s physical environment.","language":"English","publisher":"Springer Nature","doi":"10.1007/s00359-025-01748-3","usgsCitation":"Hagstrum, J.T., 2025, Avian navigation: Comparing the olfactory navigational “map” and the infrasound direction-finding hypotheses to aeronautics: Journal of Comparative Physiology A, v. 211, p. 603-616, https://doi.org/10.1007/s00359-025-01748-3.","productDescription":"14 p.","startPage":"603","endPage":"616","ipdsId":"IP-176023","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":492832,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"211","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hagstrum, Jonathan T. 0000-0002-0689-280X jhag@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-280X","contributorId":3474,"corporation":false,"usgs":true,"family":"Hagstrum","given":"Jonathan","email":"jhag@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":943926,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70268445,"text":"sir20245134 - 2025 - Assessment and validation of depressions in digital elevation models from multiple elevation data sources and delineation of depressions, sinking streams, and their watersheds in Tennessee and parts of Kentucky, Virginia, North Carolina, Georgia, Alabama, and Mississippi","interactions":[],"lastModifiedDate":"2025-08-14T19:40:56.797048","indexId":"sir20245134","displayToPublicDate":"2025-06-26T13:45:32","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5134","displayTitle":"Assessment and Validation of Depressions in Digital Elevation Models From Multiple Elevation Data Sources and Delineation of Depressions, Sinking Streams, and Their Watersheds in Tennessee and Parts of Kentucky, Virginia, North Carolina, Georgia, Alabama, and Mississippi","title":"Assessment and validation of depressions in digital elevation models from multiple elevation data sources and delineation of depressions, sinking streams, and their watersheds in Tennessee and parts of Kentucky, Virginia, North Carolina, Georgia, Alabama, and Mississippi","docAbstract":"Closed depressions and sinking streams in karst landscapes pose difficulties for water-resources management, in the construction of roads and other public works, and in hydrologic and hydrogeomorphic analyses. Digital elevation models (DEMs) can be used to identify the location and determine the size and shape of closed depressions, but separating artificial depressions due to error from real depressions in DEMs can be difficult. Artificial depressions in the DEMs can result from errors that were inherited from limitations in the source data, the interpolation of the elevation data into a grid of values, or horizontal and vertical accuracy of the elevation data. Because the source dataset used to derive DEMs is only a model of the true landscape, field verification is necessary to separate artificial depressions from real ones in DEMs. DEM analysis alone can only be used to determine whether a depression is likely or unlikely to exist in the landscape.
The U.S. Geological Survey has applied methods to delineate depressions, sinking streams, and their watersheds by using DEMs derived from two sources of elevation data within karst areas of Tennessee and parts of surrounding States. Preliminary depressions, which include all depressions before separating the likely depressions from the unlikely depressions, were delineated from the DEMs with 30- by 30-foot cells derived from each elevation data source. The characteristics of these preliminary depressions were compared to occurrence probabilities for depressions derived from numerical error propagation tests in 10 test areas across the study area and to topographic-contour source data within a 17,739-square-mile test area in middle Tennessee and northern Alabama. The comparison was conducted to determine depression characteristics that, when combined with depression-proximity filters, could be used to separate unlikely from likely depressions. Preliminary depressions were examined in the field at 91 sites in Tennessee, and field observations were compared to digital determinations of unlikely and likely depressions.
The density and size of depressions derived from each elevation dataset were compared within eight karst regions in the study area. Depressions and their watersheds were compiled from each elevation dataset. Sinking streams derived from the National Hydrography Dataset and their watersheds also were compiled for the study area.
Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"Introduction: Rangeland ponds are vital to the livelihoods of pastoral and agropastoral communities in Africa, providing an important source of water for livestock. However, sparse instrumentation across much of Africa makes it extremely challenging to monitor surface water availability in these areas. Model estimates of surface water, for example, as used by the Famine Early Warning Systems Network (FEWS NET) Water Point Viewer, are one of the few operational tools available to monitor surface water stress across pastoral areas of the Sahel and East Africa.
Methods: Water availability data from these models are difficult to validate. New methods using satellite data to classify surface water provide an opportunity to assess the performance of these tools. This study compares water availability estimates derived from Landsat and Sentinel 1 satellite imagery to in situ observations and model simulations of water availability in 22 ephemeral ponds located in the Ferlo region of Senegal.
Results and discussion: The Active-Passive Water Classification (APWC) algorithm detected surface water at each location. Over 2022 and 2023, water was detected in pond locations annually at a frequency of 68.2% for all ponds and at a frequency of 43.8% for ponds with a surface area <10,000 square meters (m2). The APWC results outperform global and continental surface water datasets in the Ferlo region. Seasonal water availability was captured in 12 ponds over the 2022 and 2023 seasons. The 12 locations can function as sentinel ponds to monitor local water availability. Study results demonstrate the viability of satellite methods to assess water availability in the region, as well as the challenges to using satellite-based methods to estimate water availability in small ponds.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/frwa.2025.1320010","usgsCitation":"Slinski, K., Senay, G.B., Adoum, A., Shukla, S., McNally, A., Rowland, J., Fillol, E., Yatheendradas, S., Funk, C., Hoell, A., and Jasinski, M., 2025, In situ, modeled, and earth observation monitoring of surface water availability in West African rangelands: Frontiers in Water, v. 7, 1320010, 17 p., https://doi.org/10.3389/frwa.2025.1320010.","productDescription":"1320010, 17 p.","ipdsId":"IP-162900","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":492054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frwa.2025.1320010","text":"Publisher Index Page"},{"id":491802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Senegal","otherGeospatial":"Ferlo Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -16.125,\n 16.5\n ],\n [\n -16.125,\n 14.6667\n ],\n [\n -14,\n 14.6667\n ],\n [\n -14,\n 16.5\n ],\n [\n -16.125,\n 16.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Slinski, Kimberly","contributorId":337030,"corporation":false,"usgs":false,"family":"Slinski","given":"Kimberly","email":"","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":942089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":942090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adoum, Alkhalil","contributorId":357639,"corporation":false,"usgs":false,"family":"Adoum","given":"Alkhalil","affiliations":[{"id":85483,"text":"University of California, Climate Hazards Center, Santa Barbara, CA, USA","active":true,"usgs":false}],"preferred":false,"id":942091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shukla, Shraddhanand","contributorId":224784,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","affiliations":[{"id":13549,"text":"UC Santa Barbara Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":942092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNally, Amy","contributorId":331306,"corporation":false,"usgs":false,"family":"McNally","given":"Amy","affiliations":[{"id":79185,"text":"NASA Goddard Space Flight Center/SAIC","active":true,"usgs":false}],"preferred":false,"id":942093,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rowland, James 0000-0003-4837-3511 rowland@usgs.gov","orcid":"https://orcid.org/0000-0003-4837-3511","contributorId":145846,"corporation":false,"usgs":true,"family":"Rowland","given":"James","email":"rowland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":942094,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fillol, Erwan","contributorId":357640,"corporation":false,"usgs":false,"family":"Fillol","given":"Erwan","affiliations":[{"id":85484,"text":"Action Contre la Faim, Regional Office for West & Central Africa, Dakar, Senegal","active":true,"usgs":false}],"preferred":false,"id":942095,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yatheendradas, Soni","contributorId":217737,"corporation":false,"usgs":false,"family":"Yatheendradas","given":"Soni","email":"","affiliations":[{"id":39690,"text":"University of Maryland; NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":942096,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Funk, Chris","contributorId":302160,"corporation":false,"usgs":false,"family":"Funk","given":"Chris","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":942097,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hoell, Andrew","contributorId":331301,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":79182,"text":"NOAA ESRL","active":true,"usgs":false}],"preferred":false,"id":942098,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jasinski, Michael","contributorId":357641,"corporation":false,"usgs":false,"family":"Jasinski","given":"Michael","affiliations":[{"id":85485,"text":"NASA, Goddard Space Flight Center Department, Greenbelt, MD, USA","active":true,"usgs":false}],"preferred":false,"id":942099,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70270650,"text":"70270650 - 2025 - Hybridization and asymmetrical introgression between the vulnerable Gray‐Headed Chickadee and a more abundant congener, the Boreal Chickadee: Implications for conservation","interactions":[],"lastModifiedDate":"2025-08-22T17:01:30.875265","indexId":"70270650","displayToPublicDate":"2025-06-26T09:54:49","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":"Hybridization and asymmetrical introgression between the vulnerable Gray‐Headed Chickadee and a more abundant congener, the Boreal Chickadee: Implications for conservation","docAbstract":"Hybridization is a common process among bird species that can precipitate a mix of positive or negative species outcomes. Particularly for rare populations, detrimental effects of hybridization on demographic growth rates and genetic integrity are of serious concern. In Alaska and a small region of northwestern Canada, the endemic subspecies of Gray-headed Chickadee (Poecile cinctus lathami) has declined in recent decades from being locally common to being extremely rare. The more widespread Boreal Chickadee (P. hudsonicus) has become increasingly abundant in areas of sympatry. These changes in abundance may have led to hybridization between Gray-headed Chickadees and Boreal Chickadees. We used a series of analyses to test for signatures of introgression at mitochondrial DNA and nuclear DNA using historical museum samples of both species collected between 1875 and 1979 as well as contemporary Boreal Chickadee samples. In addition, we modeled Gray-headed Chickadee and Boreal Chickadee demographic histories to better understand patterns of effective population size changes and gene flow over time. Introgression of Gray-headed Chickadee nuclear DNA was detected in contemporary and historical Boreal Chickadee populations, and two first-generation hybrid backcrosses were observed in the historical Boreal Chickadee samples. Lack of mitochondrial DNA introgression or backcrossing into the Gray-headed Chickadee historical samples may be an artifact of mate scarcity during the period before local abundances of Boreal Chickadee exceeded Gray-headed Chickadees. Demographic modeling with nuclear loci estimated a low level of symmetric gene flow between Gray-headed Chickadees and Boreal Chickadees since the time of divergence. Our study suggests that hybridization may be linked to Gray-headed Chickadee declines and represents a case study of how museum collections can be used to infer introgression in a population too scarce to directly investigate.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71673","usgsCitation":"Armstrong, M., Wilson, R.E., Johnson, J.A., Booms, T.L., Gesmundo, C., Pohlen, Z.M., Leonard, P., and Sonsthagen, S.A., 2025, Hybridization and asymmetrical introgression between the vulnerable Gray‐Headed Chickadee and a more abundant congener, the Boreal Chickadee: Implications for conservation: Ecology and Evolution, v. 15, no. 7, e71673, 24 p., https://doi.org/10.1002/ece3.71673.","productDescription":"e71673, 24 p.","ipdsId":"IP-174990","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495049,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71673","text":"Publisher Index Page"},{"id":494968,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14VRAFK","text":"USGS data release","linkHelpText":"Genomic Data from Gray-headed Chickadee and Boreal Chickadee"},{"id":494539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -172.1919174337219,\n 61.16412670906658\n ],\n [\n -129.51473236723288,\n 48.06724009877192\n ],\n [\n -93.17753488654388,\n 46.064196955208274\n ],\n [\n -63.72506402216072,\n 40.66890918223237\n ],\n [\n -53.91974877832055,\n 47.12392212876617\n ],\n [\n -71.4552518971592,\n 54.21262122953985\n ],\n [\n -117.82748729757712,\n 64.7593894735477\n ],\n [\n -144.17212698454327,\n 70.88681790730743\n ],\n [\n -172.1919174337219,\n 61.16412670906658\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Armstrong, Matthew 0009-0004-6875-4631","orcid":"https://orcid.org/0009-0004-6875-4631","contributorId":355185,"corporation":false,"usgs":false,"family":"Armstrong","given":"Matthew","affiliations":[{"id":16587,"text":"University of Nebraska Lincoln","active":true,"usgs":false}],"preferred":false,"id":946763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E. 0000-0003-1800-0183","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":360072,"corporation":false,"usgs":false,"family":"Wilson","given":"Robert","middleInitial":"E.","affiliations":[{"id":16587,"text":"University of Nebraska Lincoln","active":true,"usgs":false}],"preferred":false,"id":946764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, James A.","contributorId":360074,"corporation":false,"usgs":false,"family":"Johnson","given":"James","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":946765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Booms, Travis L.","contributorId":199285,"corporation":false,"usgs":false,"family":"Booms","given":"Travis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":946766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gesmundo, Callie","contributorId":127437,"corporation":false,"usgs":false,"family":"Gesmundo","given":"Callie","email":"","affiliations":[],"preferred":false,"id":946767,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pohlen, Zachary M.","contributorId":344057,"corporation":false,"usgs":false,"family":"Pohlen","given":"Zachary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":946768,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leonard, Paul 0000-0001-8032-7449","orcid":"https://orcid.org/0000-0001-8032-7449","contributorId":355186,"corporation":false,"usgs":false,"family":"Leonard","given":"Paul","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":946769,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":353767,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946770,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70269406,"text":"70269406 - 2025 - A wavier polar jet stream contributed to the mid-20th century winter warming hole in the United States","interactions":[],"lastModifiedDate":"2025-07-22T14:45:49.453559","indexId":"70269406","displayToPublicDate":"2025-06-26T09:40:39","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":"A wavier polar jet stream contributed to the mid-20th century winter warming hole in the United States","docAbstract":"Winter waves in the polar jet stream are associated with extreme cold outbreaks and can modulate longer-term winter temperature trends in the mid-latitudes. Recent research has highlighted a positive trend in jet stream waviness from 1990 to 2010, with a hypothesized connection to Arctic amplification of anthropogenic warming. However, an increase in jet stream waviness has also been hypothesized to contribute to the winter “warming hole” (WH) in eastern North America, a cooling phenomenon from 1958–1988, beginning several decades prior to the recent waviness trend. These potentially conflicting hypotheses highlight the uncertainty of long-term jet stream waviness variability prior to the satellite era (1979–present). Here we develop a new record of wintertime jet stream waviness spanning 1901–2023 based on self-organizing maps and nine different temperature and reanalysis data sets with the dual purpose of (a) understanding the historical variability of polar jet stream waviness in the eastern United States, and (b) quantifying the impact of jet stream waviness on WH-era surface temperatures. Our analysis reveals elevated jet stream waviness in the 1960s–1980s that surpassed modern waviness levels, and we find that jet stream waviness contributed to two-thirds of winter WH cooling beginning in 1958. These results are consistent with a strong connection between temperature trends in the eastern U.S. and jet stream troughing but indicate that additional mechanisms also contributed to the WH. Our analysis further highlights that recent increases in jet stream waviness are well within the range of early to mid-20th century variability, prior to the emergence of Arctic amplification.
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thickness estimates for paired burned and unburned sites in northern high latitudes","docAbstract":"As the northern high-latitude permafrost zone experiences accelerated warming, permafrost has become vulnerable to widespread thaw. Simultaneously, wildfire activity across northern boreal forest and Arctic/subarctic tundra regions impacts permafrost stability through the combustion of insulating organic matter, vegetation, and post-fire changes in albedo. Efforts to synthesis the impacts of wildfire on permafrost are limited and are typically reliant on antecedent pre-fire conditions. To address this, we created the FireALT dataset by soliciting data contributions that included thaw depth measurements, site conditions, and fire event details with paired measurements at environmentally comparable burned and unburned sites. The solicitation resulted in 52 466 thaw depth measurements from 18 contributors across North America and Russia. Because thaw depths were taken at various times throughout the thawing season, we also estimated end-of-season active layer thickness (ALT) for each measurement using a modified version of the Stefan equation. Here, we describe our methods for collecting and quality-checking the data, estimating ALT, the data structure, strengths and limitations, and future research opportunities. The final dataset includes 48 669 ALT estimates with 32 attributes across 9446 plots and 157 burned–unburned pairs spanning Canada, Russia, and the United States. The data span fire events from 1900 to 2022 with measurements collected from 2001 to 2023. The time since fire ranges from 0 to 114 years. The FireALT dataset addresses a key challenge: the ability to assess impacts of wildfire on ALT when measurements are taken at various times throughout the thaw season depending on the time of field campaigns (typically June through August) by estimating ALT at the end-of-season maximum. This dataset can be used to address understudied research areas, particularly algorithm development, calibration, and validation for evolving process-based models as well as extrapolating across space and time, which could elucidate permafrost–wildfire interactions under accelerated warming across the high-northern-latitude permafrost zone. The FireALT dataset is available through the Arctic Data Center (https://doi.org/10.18739/A2RN3092P, Talucci et al., 2024).
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-17-2887-2025","usgsCitation":"Talucci, A., Loranty, M., Holloway, J., Rogers, B.M., Alexander, H.D., Baillargeon, N., Baltzer, J.L., Berner, L., Breen, A., Brodt, L., Buma, B., Dean, J., Delcourt, C., Diaz, L., Dieleman, C., Douglas, T.A., Frost, G., Gaglioti, B., Hewitt, R.E., Hollingsworth, T., Jorenson, M., Lara, M.J., Loehman, R.A., Mack, M.C., Manies, K.L., Minions, C., Natali, S., O’Donnell, J.A., Olefeldt, D., Paulson, A., Rocha, A., Saperstein, L., Shestakova, T., Sistla, S., Sizov, O., Soromotin, A., Turetksy, M., Veraverbeke, S., and Walvoord, M.A., 2025, Permafrost–wildfire interactions: active layer thickness estimates for paired burned and unburned sites in northern high latitudes: Earth System Science Data, no. 17, p. 2887-2909, https://doi.org/10.5194/essd-17-2887-2025.","productDescription":"23 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1980–2020","interactions":[],"lastModifiedDate":"2026-01-26T19:24:17.680372","indexId":"sir20255043","displayToPublicDate":"2025-06-25T12:32:42","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5043","displayTitle":"Hydrogeology, Water Budget, and Simulated Groundwater Availability in the Salt Fork Arkansas River and Chikaskia River Alluvial Aquifers, Northern Oklahoma, 1980–2020","title":"Hydrogeology, water budget, and simulated groundwater availability in the Salt Fork Arkansas River and Chikaskia River alluvial aquifers, northern Oklahoma, 1980–2020","docAbstract":"The 1973 Oklahoma Groundwater Law (Oklahoma Statute §82–1020.5) requires that the Oklahoma Water Resources Board conduct hydrologic investigations of the State’s aquifers to determine the maximum annual yield for each groundwater basin. The U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, conducted an updated hydrologic investigation of the Salt Fork Arkansas River and Chikaskia River alluvial aquifers in northern Oklahoma for the study period spanning 1980–2020 and evaluated the simulated effects of potential groundwater withdrawals on groundwater flow and availability in the Salt Fork Arkansas River alluvial aquifer. A hydrogeologic framework and conceptual model were developed to guide the development of a numerical model.
Three groundwater-availability scenarios were evaluated by using the calibrated numerical model, which was focused on the Salt Fork Arkansas River alluvial aquifer. These scenarios were used to (1) estimate equal-proportionate-share groundwater withdrawal rates, (2) quantify the potential effects of projected well withdrawals on groundwater storage over a 50-year period, and (3) simulate the potential effects of a hypothetical 10-year drought. The 20-, 40-, and 50-year equal-proportionate-share groundwater withdrawal rates for the Salt Fork Arkansas River alluvial aquifer under normal recharge conditions were about 0.63, 0.58, and 0.57 acre-foot per acre per year, respectively. Projected 50-year groundwater withdrawal scenarios were used to simulate the effects of modified well withdrawal rates. Because well withdrawals were less than 2 percent of the calibrated numerical-model water budget, changes to the well groundwater withdrawal rates had little effect on simulated Salt Fork Arkansas River base flows and groundwater storage in the Salt Fork Arkansas River alluvial aquifer. A hypothetical 10-year drought scenario was used to simulate the potential effects of a prolonged period of reduced recharge on groundwater storage. Groundwater storage at the end of the hypothetical drought period was 14.5 percent less than the groundwater storage of the calibrated numerical model without the simulated drought.
Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501
Contact Us- USGS Publications Warehouse
","tableOfContents":"Over the period 2021–2024, glaciers in Western Canada and the conterminous US (WCAN-US), and Switzerland respectively lost mass at rates of 22.2 ± 9.0 and 1.5 ± 0.3 Gt yr−1 representing a twofold increase in mass loss compared to the period 2010–2020. Since 2020, total ice volume was depleted by 12% (WCAN-US) and 13% (Switzerland). Meteorological conditions that favored high rates of mass loss included low winter snow accumulation, early-season heat waves, and prolonged warm, dry conditions. High transient snow lines, and impurity loading due to wildfires (WCAN-US) or Saharan dust (Switzerland) darkened glaciers and thereby increased mass loss via greater absorbed shortwave radiation available for melt. This ice-albedo feedback will lead to continued high rates of thinning unless recently exposed dark ice and firn at high elevations is buried by seasonal snowfall. Physical models that simulate impurity deposition and movement through firn and ice are needed to improve future projections of glacier mass change.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL115235","usgsCitation":"Menounos, B., Huss, M., Marshall, S., Ednie, M., Florentine, C., and Hartl, L., 2025, Glaciers in Western Canada-conterminous US and Switzerland experience unprecedented mass loss over the last four years (2021–2024): Geophysical Research Letters, v. 52, no. 12, e2025GL115235, 10 p., https://doi.org/10.1029/2025GL115235.","productDescription":"e2025GL115235, 10 p.","ipdsId":"IP-168264","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":491714,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl115235","text":"Publisher Index Page"},{"id":491524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Switzerland, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -135.99568879770823,\n 54.91892016736358\n ],\n [\n -135.99568879770823,\n 46.622431752452655\n ],\n [\n -111.83646544244147,\n 46.622431752452655\n ],\n [\n -111.83646544244147,\n 54.91892016736358\n ],\n [\n -135.99568879770823,\n 54.91892016736358\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 5,\n 48\n ],\n [\n 5,\n 45.5\n ],\n [\n 12,\n 45.5\n ],\n [\n 12,\n 48\n ],\n [\n 5,\n 48\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Menounos, Brian","contributorId":225514,"corporation":false,"usgs":false,"family":"Menounos","given":"Brian","email":"","affiliations":[{"id":41154,"text":"Geography Program and Natural Resources and Environmental Studies Institute, University of Northern British Columbia","active":true,"usgs":false}],"preferred":false,"id":941479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huss, Matthias","contributorId":342088,"corporation":false,"usgs":false,"family":"Huss","given":"Matthias","affiliations":[],"preferred":false,"id":941480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Shawn","contributorId":357456,"corporation":false,"usgs":false,"family":"Marshall","given":"Shawn","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":941481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ednie, Mark","contributorId":357457,"corporation":false,"usgs":false,"family":"Ednie","given":"Mark","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":941482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":941483,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hartl, Lea","contributorId":347731,"corporation":false,"usgs":false,"family":"Hartl","given":"Lea","affiliations":[{"id":82428,"text":"Austrian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":941484,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70269968,"text":"70269968 - 2025 - Parasite‐mediated competition limits dominant cervid competitor","interactions":[],"lastModifiedDate":"2025-08-07T15:41:00.415168","indexId":"70269968","displayToPublicDate":"2025-06-25T08:35:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Parasite‐mediated competition limits dominant cervid competitor","docAbstract":"Species interactions structure ecological communities through direct and indirect pathways with ecosystem-wide implications. Despite mounting interest in the importance of indirect interactions, empirical evidence remains limited. Here, we demonstrate the critical role of parasite-mediated competition in driving community outcomes in a multi-species system of conservation and management concern. We leveraged 2 years of detection/non-detection data of moose (Alces alces) and white-tailed deer (Odocoileus virginianus) and parasite loads in faecal samples within a hierarchical abundance-mediated interaction model to test hypotheses regarding interactions between these cervids and their shared parasites (Parelaphostrongylus tenuis, Fascioloides magna). We demonstrate that moose occupancy was limited by parasite-mediated competition, with no evidence of population-level effects of direct competitive interactions between moose and white-tailed deer. Such evidence of the importance of indirect interactions and resulting community outcomes is critical for species conservation and managing range contractions due to increasing pressures from habitat loss, disease and climate change.
","language":"English","publisher":"Wiley","doi":"10.1111/ele.70159","usgsCitation":"Grauer, J., Twining, J., Lejeune, M., Frair, J., Schuler, K., Kramer, D., and Fuller, A.K., 2025, Parasite‐mediated competition limits dominant cervid competitor: Ecology Letters, v. 28, no. 6, e70159, 11 p., https://doi.org/10.1111/ele.70159.","productDescription":"e70159, 11 p.","ipdsId":"IP-171932","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493800,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.70159","text":"Publisher Index Page"},{"id":493718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.86450930313202,\n 44.87977988441\n ],\n [\n -74.86450930313202,\n 44.084393619454204\n ],\n [\n -73.3992247689462,\n 44.084393619454204\n ],\n [\n -73.3992247689462,\n 44.87977988441\n ],\n [\n -74.86450930313202,\n 44.87977988441\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Grauer, Jennifer A.","contributorId":359241,"corporation":false,"usgs":false,"family":"Grauer","given":"Jennifer A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":945071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twining, Joshua P.","contributorId":349314,"corporation":false,"usgs":false,"family":"Twining","given":"Joshua P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":945072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lejeune, Manigandan","contributorId":359243,"corporation":false,"usgs":false,"family":"Lejeune","given":"Manigandan","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":945073,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frair, Jacqueline L.","contributorId":342845,"corporation":false,"usgs":false,"family":"Frair","given":"Jacqueline L.","affiliations":[{"id":48981,"text":"State University of New York","active":true,"usgs":false}],"preferred":false,"id":945074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuler, Krysten L.","contributorId":342869,"corporation":false,"usgs":false,"family":"Schuler","given":"Krysten L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":945075,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kramer, David W.","contributorId":359247,"corporation":false,"usgs":false,"family":"Kramer","given":"David W.","affiliations":[{"id":37519,"text":"SUNY College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":945076,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945077,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}