Context
Montane meadows play an important hydrologic role in headwater catchments, but past land use has largely degraded their condition. Low-tech restoration methods, such as beaver dam analogs (BDAs), are increasingly used to support recovery of incised streams by promoting key geomorphic processes. However, there remains a need for studies that leverage UAS for monitoring low-tech restoration treatments in incised meadow systems.
Objectives
This study maps and characterizes geomorphic changes in two incised meadow stream channels in Red Clover Valley, CA with installed beaver dam analog structures. We used UAS-based photogrammetric surveys to track changes over a three-year period (2021–2023).
Methods
Geomorphic change was assessed using DEM differencing with error thresholding, repeat geomorphic unit (GU) classification, and Shannon Diversity Index (SHDI) to measure spatial shifts in geomorphic complexity.
Results
Geomorphic responses varied by site and survey period. The subchannel B (SCB) site exhibited net deposition, while the lower Dixie Creek (LDC) site showed net erosion. BDAs appeared to enhance geomorphic activity, particularly in LDC, where near BDA areas showed greater sediment deposition and localized erosion compared to reference sites. SHDI values were positively correlated with erosion at both sites, suggesting that erosional processes may have promoted geomorphic diversity by creating or reorganizing GU in the incised channels.
Conclusions
UAS-SfM surveys captured erosion and deposition patterns and revealed the influence of BDAs and local channel characteristics on geomorphic change and unit diversity. These findings highlight the utility of UAS methods for monitoring restoration impacts in incised montane meadow streams.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10980-025-02134-9","usgsCitation":"LeBeau, R., Villarreal, M.L., and Davis, J., 2025, UAS-based geomorphic change detection of incised montane meadow stream channels with low-tech process-based restoration treatments: Landscape Ecology, no. 40, 135, 31 p., https://doi.org/10.1007/s10980-025-02134-9.","productDescription":"135, 31 p.","ipdsId":"IP-164377","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":492064,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-025-02134-9","text":"Publisher Index Page"},{"id":491822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Red Clover Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.58675993175365,\n 40.31575686885685\n ],\n [\n -121.58675993175365,\n 39.3573574299993\n ],\n [\n -119.99751644063116,\n 39.3573574299993\n ],\n [\n -119.99751644063116,\n 40.31575686885685\n ],\n [\n -121.58675993175365,\n 40.31575686885685\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","issue":"40","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"LeBeau, Raymond 0009-0005-1520-5249","orcid":"https://orcid.org/0009-0005-1520-5249","contributorId":350819,"corporation":false,"usgs":true,"family":"LeBeau","given":"Raymond","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":942238,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":942239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Jerry D.","contributorId":357700,"corporation":false,"usgs":false,"family":"Davis","given":"Jerry D.","affiliations":[{"id":32962,"text":"SFSU","active":true,"usgs":false}],"preferred":false,"id":942240,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70271318,"text":"70271318 - 2025 - Living with wildfire in Chelan County Fire District #3, Chelan County, Washington: 2022 data report","interactions":[],"lastModifiedDate":"2025-09-08T14:40:02.071184","indexId":"70271318","displayToPublicDate":"2025-07-01T09:38:54","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN-105","title":"Living with wildfire in Chelan County Fire District #3, Chelan County, Washington: 2022 data report","docAbstract":"Community wildfire readiness includes homeowner wildfire risk mitigation and wildfire evacuation preparedness. In 2021 and 2022, the Wildfire Research (WiRē) Center partnered with Chelan County Fire District #3 (CCFD #3) to learn how CCFD #3 can effectively engage with residents about preparing for a wildfire event and mitigating wildfire risk around the home.
The CCFD #3 residents were responsive to the household survey (38% response rate). Respondents reported being aware of wildfire risk and having taken action to mitigate risk on their properties and prepare for evacuation. However, residents’ perceptions of property-level wildfire risk did not align with wildfire assessments conducted by trained assessors. Residents may benefit from financial assistance to support proper mitigation and educational outreach.
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":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":941867,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70269863,"text":"70269863 - 2025 - Angler dynamics in the St. Clair-Detroit River System after decades of change","interactions":[],"lastModifiedDate":"2025-12-15T16:29:47.588803","indexId":"70269863","displayToPublicDate":"2025-07-01T09:25:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Angler dynamics in the St. Clair-Detroit River System after decades of change","docAbstract":"Habitat and water quality were historically degraded within the St. Clair-Detroit River System (SCDRS). Beginning in 2004, extensive habitat restoration projects were implemented remediating losses of fish spawning beds and shoreline areas. Monitoring of post-restoration activities documented recovering fish populations; however, angler response remains unknown. Extensive creel surveys were conducted pre-restoration (2002–2004), but post-restoration (2012 and later) surveys were intermittent. The goal of this project was to examine both to create a comprehensive picture of the effects of restoration on angling. We calculated catch and harvest rates and inspected answers to supplemental questions collected by state and provincial agencies. We estimated economic impact of angling with a combination of lodging and gas expenses. Post-restoration, catch rates were higher, but harvest rates were variable for Lake St. Clair and the Detroit River. The 2017 open water boat fishery on Lake St. Clair was worth ∼$26 million. Increased fishing opportunities resulting from continued habitat and population recovery are leading to increased catch rates and likely attracting anglers to the area.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102610","usgsCitation":"Castle, D., Galarowitz, T., Roseman, E., Claramunt, T., Chiotti, J., and Dvorak, R., 2025, Angler dynamics in the St. Clair-Detroit River System after decades of change: Journal of Great Lakes Research, v. 51, no. 6, 102610, 9 p., https://doi.org/10.1016/j.jglr.2025.102610.","productDescription":"102610, 9 p.","ipdsId":"IP-114671","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":493563,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","otherGeospatial":"St. Clair-Detroit River System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.32107024202449,\n 43.006850820856755\n ],\n [\n -82.49276432463705,\n 43.05309054601082\n ],\n [\n -82.89037167384419,\n 42.65229703000273\n ],\n [\n -83.21116851240926,\n 42.29236828270675\n ],\n [\n -83.25635116572803,\n 42.22214183316797\n ],\n [\n -83.32864341103848,\n 41.87992998994085\n ],\n [\n -83.05754749112448,\n 42.02777689684618\n ],\n [\n -82.94007259249524,\n 42.29236828270675\n ],\n [\n -82.49276432463705,\n 42.23886950969248\n ],\n [\n -82.36625289534328,\n 42.32578195995458\n ],\n [\n -82.37528942600714,\n 42.54919596223701\n ],\n [\n -82.32107024202449,\n 43.006850820856755\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Castle, Dana","contributorId":334167,"corporation":false,"usgs":false,"family":"Castle","given":"Dana","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":944777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galarowitz, T.","contributorId":359009,"corporation":false,"usgs":false,"family":"Galarowitz","given":"T.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":944778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward 0000-0002-5315-9838 eroseman@usgs.gov","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":216805,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":944779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Claramunt, T.","contributorId":359011,"corporation":false,"usgs":false,"family":"Claramunt","given":"T.","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":944780,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chiotti, J.","contributorId":207832,"corporation":false,"usgs":false,"family":"Chiotti","given":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":944781,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dvorak, R.","contributorId":359014,"corporation":false,"usgs":false,"family":"Dvorak","given":"R.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":944782,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"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.
","language":"English","publisher":"Great Lakes Fishery Commission","collaboration":"OMNR, NYSDEC","usgsCitation":"Weidel, B., Goretzke, J., Holden, J.P., Bloomfield, E., Stahl, S.D., Mitchinson, O.M., O’Malley, B., Berry, N., Anweiler, K.V., and Ackiss, A.S., 2025, Lake Ontario spring prey fish bottom trawl survey and Alewife assessment, 2025, 16 p.","productDescription":"16 p.","ipdsId":"IP-180207","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":494894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":494867,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://glfc.org/publication-media-search.php","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": 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","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","doi":"10.14509/31684","collaboration":"University of Alaska Fairbanks Geophysical Institute","usgsCitation":"Dietterich, H., Schaefer, J., Larsen, J., Vallance, J.W., Van Eaton, A.R., and Wallace, K.L., 2025, Makushin Volcano: Recent eruptive history and ash hazards: Alaska Division of Geological & Geophysical Surveys Information Circular 86 v. 2, 2 p., https://doi.org/10.14509/31684.","productDescription":"2 p.","ipdsId":"IP-179272","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":493337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Makushin Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -165.77136893276906,\n 54.44504537720758\n ],\n [\n -168.72942706013953,\n 54.44504537720758\n ],\n [\n -168.72942706013953,\n 53.13467872883129\n ],\n [\n -165.77136893276906,\n 53.13467872883129\n ],\n [\n -165.77136893276906,\n 54.44504537720758\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaefer, Janet","contributorId":199547,"corporation":false,"usgs":false,"family":"Schaefer","given":"Janet","affiliations":[],"preferred":false,"id":944629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larsen, Jessica 0000-0003-1171-129X","orcid":"https://orcid.org/0000-0003-1171-129X","contributorId":242808,"corporation":false,"usgs":false,"family":"Larsen","given":"Jessica","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":944630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vallance, James W. 0000-0002-3083-5469 jvallance@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5469","contributorId":547,"corporation":false,"usgs":true,"family":"Vallance","given":"James","email":"jvallance@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944632,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wallace, Kristi L. 0000-0002-0962-048X kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":944633,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"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.
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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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In this study, we identified a leptin receptor-like sequence (LepRL) and three interleukin-6 receptor subunit b-like sequences (IL6RBL) from a jawless vertebrate (cyclostome), the sea lamprey (Petromyzon marinus). Based on structural, phylogenetic, and syntenic analyses, we deduced that these lamprey receptors are likely distinct ohnologs to gnathostome LepR and IL6RB-related receptors, respectively, that arose in the two rounds of vertebrate whole-genome duplication (1R and 2R). Notably, lamprey LepRL likely originated from a different 1R progenitor than the one giving rise to gnathostome LepR during cyclostome hexaploidization. Differential patterns in mRNA expression of LepRL and IL6RBLs were observed among adult tissues, during larval metamorphosis, and in response to juvenile feeding. Feeding stimulated hepatic expression of LepRL and IL6RBL (namely, IL6RBL1) mRNAs in correlation with upregulation of insulin-like growth factor mRNA, whereas brain LepRL and IL6RBL1 mRNA expression was correlated positively with neuropeptide Y but inversely with intestinal content in fed juveniles. Notably, these observations along with immunolocalization of LepRL in the hypothalamus suggest a role of leptin signaling in regulating energy balance that is conserved among vertebrates. Additionally, seawater exposure stimulated branchial LepRL expression coincident with increased expression of ion transporters in ionocytes, indicating a role of leptin signaling in osmoregulation. These findings provide new insight into the early evolution of class-I cytokine receptors and reveal diverse functions of the leptin signaling system in jawless vertebrate.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/molbev/msaf157","usgsCitation":"Gong, N., Barany, A., Norstog, J., Larhammar, D., Björnsson, B., Regish, A.M., McCormick, S.D., and Sheridan, M.A., 2025, Divergence of leptin receptor and interleukin-6 receptor subunit b in early vertebrate evolution and physiological insights from the sea lamprey: Molecular Biology and Evolution, v. 42, no. 7, msaf157, 15 p., https://doi.org/10.1093/molbev/msaf157.","productDescription":"msaf157, 15 p.","ipdsId":"IP-162401","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":494195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/molbev/msaf157","text":"Publisher Index Page"},{"id":493955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-07-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gong, Ningping","contributorId":228919,"corporation":false,"usgs":false,"family":"Gong","given":"Ningping","email":"","affiliations":[{"id":41526,"text":"Univ of Texas, Lubbock","active":true,"usgs":false}],"preferred":false,"id":945587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barany, André","contributorId":359475,"corporation":false,"usgs":false,"family":"Barany","given":"André","affiliations":[{"id":85821,"text":"Complutense University of Madrid","active":true,"usgs":false}],"preferred":false,"id":945588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norstog, Jessica L.","contributorId":352422,"corporation":false,"usgs":false,"family":"Norstog","given":"Jessica L.","affiliations":[{"id":84213,"text":"Organismic and Evolutionary Biology, University of Massachusetts, Amherst, MA, USA","active":true,"usgs":false}],"preferred":false,"id":945589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larhammar, Dan","contributorId":359476,"corporation":false,"usgs":false,"family":"Larhammar","given":"Dan","affiliations":[{"id":37671,"text":"Uppsala University","active":true,"usgs":false}],"preferred":false,"id":945590,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Björnsson, Björn Thrandur","contributorId":359477,"corporation":false,"usgs":false,"family":"Björnsson","given":"Björn Thrandur","affiliations":[{"id":12695,"text":"University of Gothenburg","active":true,"usgs":false}],"preferred":false,"id":945591,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Regish, Amy M. 0000-0003-4747-4265","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":265360,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":945592,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":945593,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sheridan, Mark A.","contributorId":359478,"corporation":false,"usgs":false,"family":"Sheridan","given":"Mark","middleInitial":"A.","affiliations":[{"id":85824,"text":"Texas Tech","active":true,"usgs":false}],"preferred":false,"id":945594,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274677,"text":"70274677 - 2025 - A molecular specimen bank for contemporary and future study captures landscape-scale biodiversity baselines before Klamath River dam removal","interactions":[],"lastModifiedDate":"2026-04-03T16:11:35.913599","indexId":"70274677","displayToPublicDate":"2025-07-01T00:00:00","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":"A molecular specimen bank for contemporary and future study captures landscape-scale biodiversity baselines before Klamath River dam removal","docAbstract":"Global restoration and conservation of freshwater biodiversity are represented in practice by works such as the Klamath River Renewal Project (KRRP), the largest dam removal and river restoration in the United States, which has reconnected 640 river kilometers. 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.
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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
Tungsten appears on the 2018 and 2022 U.S. Geological Survey critical mineral lists in part because of a very high global production concentration in China, which produces almost 83 percent of the world’s mined tungsten. Using known parameters and values from other tungsten mining operations, we created hypothetical scenarios in which three tungsten deposits in Uzbekistan are considered for development. Our results show that all three deposits are likely to be economically viable to develop under 2024 market conditions. If the three studied tungsten deposits were put into production, Uzbekistan could become the third-leading tungsten-producing country in the world and increase world output of tungsten by 2.7 percent. Putting these tungsten deposits in Uzbekistan into production could slightly reduce the tungsten global market concentration, therefore reducing the supply disruption potential for tungsten.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251032","usgsCitation":"Safirova, E., Golovko, Y., and Dulabova, N., 2025, Analysis of the potential effects of Uzbekistan’s mineral endowment on the critical mineral supply of tungsten: U.S. Geological Survey Open-File Report 1032, 14 p., https://doi.org/10.3133/ofr20251032.","productDescription":"v, 14 p.","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-169634","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":491157,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1032/images/"},{"id":491156,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1032/ofr20251032.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1032 XML"},{"id":491155,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251032/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1032 HTML"},{"id":491154,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1032/ofr20251032.pdf","text":"Report","size":"840 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1032 PDF"},{"id":491153,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1032/coverthb.jpg"}],"country":"Uzbekistan","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[66.51861,37.36278],[66.54615,37.97468],[65.216,38.4027],[64.17022,38.89241],[63.51801,39.36326],[62.37426,40.05389],[61.88271,41.08486],[61.54718,41.26637],[60.46595,41.22033],[60.08334,41.42515],[59.97642,42.22308],[58.62901,42.75155],[57.78653,42.17055],[56.93222,41.82603],[57.09639,41.32231],[55.96819,41.30864],[55.92892,44.99586],[58.50313,45.5868],[58.68999,45.50001],[60.23997,44.78404],[61.05832,44.40582],[62.0133,43.50448],[63.18579,43.65007],[64.90082,43.72808],[66.09801,42.99766],[66.02339,41.99465],[66.51065,41.98764],[66.71405,41.16844],[67.98586,41.13599],[68.2599,40.66232],[68.63248,40.66868],[69.07003,41.38424],[70.38896,42.08131],[70.96231,42.26615],[71.25925,42.16771],[70.42002,41.52],[71.15786,41.14359],[71.87011,41.3929],[73.05542,40.86603],[71.77488,40.14584],[71.0142,40.24437],[70.60141,40.21853],[70.45816,40.49649],[70.66662,40.96021],[69.32949,40.72782],[69.01163,40.08616],[68.53642,39.53345],[67.70143,39.58048],[67.44222,39.14014],[68.17603,38.90155],[68.39203,38.15703],[67.83,37.14499],[67.07578,37.35614],[66.51861,37.36278]]]},\"properties\":{\"name\":\"Uzbekistan\"}}]}","contact":"Director, National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov
","tableOfContents":"Tungsten is a critical mineral used in many everyday products, from light bulbs to electronics and medical equipment. In 2024, China was the leading tungsten mining country, producing about 83 percent of all tungsten in the world. Uzbekistan has known tungsten deposits, so we investigated potential effects on the world supply of tungsten if three of those tungsten deposits were developed and produced tungsten and other minerals. Using market conditions from 2024 in our models, we determined that these tungsten deposits could be mined profitably. Our results suggest that if these deposits are developed, Uzbekistan could become the third-leading tungsten producer in the world, increasing global tungsten supply by 2.7 percent. Development of these tungsten deposits could help prevent possible shortages of tungsten.
","publicationDate":"2025-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Safirova, Elena 0000-0001-7121-3917 esafirova@usgs.gov","orcid":"https://orcid.org/0000-0001-7121-3917","contributorId":182020,"corporation":false,"usgs":true,"family":"Safirova","given":"Elena","email":"esafirova@usgs.gov","affiliations":[],"preferred":true,"id":941085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golovko, Yelena","contributorId":357290,"corporation":false,"usgs":false,"family":"Golovko","given":"Yelena","affiliations":[{"id":85400,"text":"Ministry of Mining Industry and Geology of the Republic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":941086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dulabova, Nafisa","contributorId":351211,"corporation":false,"usgs":false,"family":"Dulabova","given":"Nafisa","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":941087,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70269617,"text":"70269617 - 2025 - False positives in the identification of dynamic earthquake triggering","interactions":[],"lastModifiedDate":"2025-07-28T14:37:58.671335","indexId":"70269617","displayToPublicDate":"2025-06-29T09:34:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"False positives in the identification of dynamic earthquake triggering","docAbstract":"Dynamic earthquake triggering is commonly identified through the temporal correlation between increased seismicity rates and global earthquakes that are possible triggering events. However, correlation does not imply causation. False positives may occur when unrelated seismicity rate changes coincidently occur at around the time of candidate triggers. We investigate the expected false positive rate in Southern California with global M ≥ 6 earthquakes as candidate triggers. We compute the false positive rate by applying the statistical tests used by DeSalvio and Fan (2023), https://doi.org/10.1029/2023jb026487 to synthetic earthquake catalogs with no real dynamic triggering. We find a false positive rate of ∼3.5%–8.5% when realistic earthquake clustering is present, consistent with the 95% confidence typically used in seismology. However, when this false positive rate is applied to the tens of thousands of spatial-temporal windows in Southern California tested in DeSalvio and Fan (2023), https://doi.org/10.1029/2023jb026487, thousands of false positives are expected. The expected false positive occurrence is large enough to explain the observed apparent triggering following 70% of large global earthquakes (DeSalvio & Fan, 2023, https://doi.org/10.1029/2023jb026487), without requiring any true dynamic triggering. Aside from the known triggering from the nearby El Mayor-Cucapah, Mexico, earthquake, the spatial and temporal characteristics of the reported triggering are indistinguishable from random false positives. This implies that best practice for dynamic triggering studies that depend on temporal correlation is to estimate the false positive rate and investigate whether the observed apparent triggering is distinguishable from the correlations that may occur by chance.
","language":"English","publisher":"American Geophysical union","doi":"10.1029/2025JB031566","usgsCitation":"Hardebeck, J.L., DeSalvio, N., Fan, W., and Barbour, A.J., 2025, False positives in the identification of dynamic earthquake triggering: JGR Solid Earth, v. 130, no. 7, e2025JB031566, 13 p., https://doi.org/10.1029/2025JB031566.","productDescription":"e2025JB031566, 13 p.","ipdsId":"IP-173925","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":493314,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jb031566","text":"Publisher Index Page"},{"id":492996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":254964,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":944185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeSalvio, Nicolas D.","contributorId":358816,"corporation":false,"usgs":false,"family":"DeSalvio","given":"Nicolas D.","affiliations":[{"id":27208,"text":"UC San Diego","active":true,"usgs":false}],"preferred":false,"id":944186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fan, Wenyuan","contributorId":174007,"corporation":false,"usgs":false,"family":"Fan","given":"Wenyuan","email":"","affiliations":[{"id":6728,"text":"Scripps Inst Oceanography","active":true,"usgs":false}],"preferred":false,"id":944187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":944188,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268830,"text":"70268830 - 2025 - Pyrethroid insecticides implicated in mass mortality of monarch butterflies at an overwintering site in California","interactions":[],"lastModifiedDate":"2025-11-18T16:52:10.629121","indexId":"70268830","displayToPublicDate":"2025-06-28T11:04:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Pyrethroid insecticides implicated in mass mortality of monarch butterflies at an overwintering site in California","docAbstract":"Since the 1980s, monarch butterfly (Danaus plexippus plexippus) populations across North America have declined by 80–95%. Although several studies have implicated pesticides as a contributing factor to their population declines, our understanding of monarch exposure levels in nature remains limited. In January 2024, a mass mortality event near an overwintering site in Pacific Grove, California, USA, provided an opportunity to analyze dead overwintering monarch butterflies for pesticide residues. Ten recently deceased butterflies were collected and analyzed using liquid and gas chromatography with tandem mass spectrometry (LC-MS/MS and GC-MS/MS). We identified a total of 15 pesticides and associated metabolites in the butterflies, including 8 insecticides (plus 1 associated metabolite), 2 herbicides (plus 2 associated metabolites), and 2 fungicides. On average, each monarch butterfly contained 7 pesticides, excluding transformation products if the parent compound was also detected. Notably, three pyrethroid insecticides—bifenthrin, cypermethrin, and permethrin—were consistently detected at or near each chemical’s lethal dose (LD50). Bifenthrin and cypermethrin were found in every sample, while permethrin was present in all but two samples. The average concentrations of these insecticides were 451.9 ng/g dry weight (dw) for bifenthrin, 646.9 ng/g dw for cypermethrin, and 337.1 ng/g dw for permethrin. These findings demonstrate pesticide contamination in monarch butterflies, including within urban areas, and highlight the risks pesticides, especially insecticides, pose to monarch populations. Additional measures may be required to safeguard this species from pesticide exposure, particularly near aggregation locations, such as overwintering sites in coastal California.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf163","usgsCitation":"Cibotti, S., Hladik, M.L., May, E., Pelton, E., Bargar, T., Johnston, N., and Code, A., 2025, Pyrethroid insecticides implicated in mass mortality of monarch butterflies at an overwintering site in California: Environmental Toxicology and Chemistry, v. 44, no. 10, p. 2716-2724, https://doi.org/10.1093/etojnl/vgaf163.","productDescription":"9 p.","startPage":"2716","endPage":"2724","ipdsId":"IP-171429","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":495174,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgaf163","text":"Publisher Index Page"},{"id":491811,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Pacific Grove","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.93166350087532,\n 36.627315376432804\n ],\n [\n -121.93166350087532,\n 36.625890169912864\n ],\n [\n -121.93022565277657,\n 36.625890169912864\n ],\n [\n -121.93022565277657,\n 36.627315376432804\n ],\n [\n -121.93166350087532,\n 36.627315376432804\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Cibotti, Staci","contributorId":357703,"corporation":false,"usgs":false,"family":"Cibotti","given":"Staci","affiliations":[{"id":34267,"text":"The Xerces Society for Invertebrate Conservation","active":true,"usgs":false}],"preferred":false,"id":942258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":205314,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Emily","contributorId":357704,"corporation":false,"usgs":false,"family":"May","given":"Emily","affiliations":[{"id":34267,"text":"The Xerces Society for Invertebrate Conservation","active":true,"usgs":false}],"preferred":false,"id":942260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pelton, Emma","contributorId":357706,"corporation":false,"usgs":false,"family":"Pelton","given":"Emma","affiliations":[{"id":34267,"text":"The Xerces Society for Invertebrate Conservation","active":true,"usgs":false}],"preferred":false,"id":942261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bargar, Timothy 0000-0001-8588-3436","orcid":"https://orcid.org/0000-0001-8588-3436","contributorId":211833,"corporation":false,"usgs":true,"family":"Bargar","given":"Timothy","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":942262,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnston, Natalie","contributorId":357709,"corporation":false,"usgs":false,"family":"Johnston","given":"Natalie","affiliations":[{"id":85538,"text":"Pacific Grove Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":942263,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Code, Aimee","contributorId":214378,"corporation":false,"usgs":false,"family":"Code","given":"Aimee","email":"","affiliations":[{"id":39027,"text":"Xerces Society for Invertebrate Conservation","active":true,"usgs":false}],"preferred":false,"id":942264,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268695,"text":"70268695 - 2025 - Over, under, and through: Hydrologic connectivity and the future of coastal landscape salinization","interactions":[],"lastModifiedDate":"2025-07-08T15:40:36.038242","indexId":"70268695","displayToPublicDate":"2025-06-27T10:36:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Over, under, and through: Hydrologic connectivity and the future of coastal landscape salinization","docAbstract":"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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Elnaz","contributorId":357535,"corporation":false,"usgs":false,"family":"Pezeshki","given":"Elnaz","affiliations":[{"id":36317,"text":"East Carolina University","active":true,"usgs":false}],"preferred":false,"id":941681,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Sirianni, Matthew","contributorId":357536,"corporation":false,"usgs":false,"family":"Sirianni","given":"Matthew","affiliations":[{"id":36317,"text":"East Carolina University","active":true,"usgs":false}],"preferred":false,"id":941682,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Ward.Nicolas","contributorId":357537,"corporation":false,"usgs":false,"family":"Ward.Nicolas","affiliations":[{"id":38914,"text":"Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":941683,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70268682,"text":"70268682 - 2025 - Brief communication: Not as dirty as they look, flawed airborne and satellite snow spectra","interactions":[],"lastModifiedDate":"2025-07-08T15:35:07.484083","indexId":"70268682","displayToPublicDate":"2025-06-27T10:29:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3554,"text":"The Cryosphere","active":true,"publicationSubtype":{"id":10}},"title":"Brief communication: Not as dirty as they look, flawed airborne and satellite snow spectra","docAbstract":"Key to the success of spaceborne missions is understanding snowmelt in our warming climate, as this has implications for nearly 2 billion people. An obstacle is that surface reflectance products over snow show an erroneous hook with decreases in the visible wavelengths, causing per-band and broadband reflectance errors of up to 33 % and 11 %, respectively. This hook is sometimes mistaken for soot or dust but can result from three artifacts: (1) background reflectance that is too dark, (2) an assumption of level terrain, or (3) differences in optical constants of ice. Sensor calibration and directional effects may also contribute. Solutions are being implemented.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/tc-19-2315-2025","usgsCitation":"Bair, E., Roberts, D., Thompson, D., Brodrick, P., Wilder, B., Bohn, N., Crawford, C., Carmon, N., Vuyovich, C., and Dozier, J., 2025, Brief communication: Not as dirty as they look, flawed airborne and satellite snow spectra: The Cryosphere, v. 19, no. 6, p. 2315-2320, https://doi.org/10.5194/tc-19-2315-2025.","productDescription":"6 p.","startPage":"2315","endPage":"2320","ipdsId":"IP-166246","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":492055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-19-2315-2025","text":"Publisher Index Page"},{"id":491804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Bair, Edward","contributorId":357516,"corporation":false,"usgs":false,"family":"Bair","given":"Edward","affiliations":[{"id":85440,"text":"Leidos Inc.","active":true,"usgs":false}],"preferred":false,"id":941635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Dar","contributorId":13721,"corporation":false,"usgs":true,"family":"Roberts","given":"Dar","affiliations":[],"preferred":false,"id":941636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, David R.","contributorId":152638,"corporation":false,"usgs":false,"family":"Thompson","given":"David R.","affiliations":[{"id":18954,"text":"Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA","active":true,"usgs":false}],"preferred":false,"id":941637,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brodrick, Philip","contributorId":225044,"corporation":false,"usgs":false,"family":"Brodrick","given":"Philip","affiliations":[{"id":41027,"text":"NASA JPL/CalTech","active":true,"usgs":false}],"preferred":false,"id":941638,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilder, Brent","contributorId":357520,"corporation":false,"usgs":false,"family":"Wilder","given":"Brent","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":941639,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bohn, Niklas","contributorId":305904,"corporation":false,"usgs":false,"family":"Bohn","given":"Niklas","email":"","affiliations":[{"id":66318,"text":"GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":941640,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":941641,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carmon, Nimrod","contributorId":357522,"corporation":false,"usgs":false,"family":"Carmon","given":"Nimrod","affiliations":[{"id":85441,"text":"JPL CalTech","active":true,"usgs":false}],"preferred":false,"id":941642,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vuyovich, Carrie","contributorId":357523,"corporation":false,"usgs":false,"family":"Vuyovich","given":"Carrie","affiliations":[{"id":39055,"text":"NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":941643,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dozier, Jeff","contributorId":357524,"corporation":false,"usgs":false,"family":"Dozier","given":"Jeff","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":941644,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70273107,"text":"70273107 - 2025 - Spatiotemporal variations in strain release and seismic rupture in multifault systems: An 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.
","language":"English","publisher":"Geological Society of America","doi":"10.2113/2024/lithosphere_2024_187","usgsCitation":"LaPlante, A., Regalla, C., Sethanant, I., Mahan, S.A., and Gray, H., 2025, Spatiotemporal variations in strain release and seismic rupture in multifault systems: An example from Panamint Valley, southeastern California: Lithosphere, v. 2024, no. 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":70270148,"text":"70270148 - 2025 - Hydrothermal hazards on display in Yellowstone National Park","interactions":[],"lastModifiedDate":"2025-08-11T16:02:58.807058","indexId":"70270148","displayToPublicDate":"2025-06-27T08:11:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7602,"text":"Eos, American Geophysical Union","active":true,"publicationSubtype":{"id":10}},"title":"Hydrothermal hazards on display in Yellowstone National Park","docAbstract":"No abstract available.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EO250233","usgsCitation":"Harrison, L., Poland, M., Reed, M., Sims, K., and Hungerford, J., 2025, Hydrothermal hazards on display in Yellowstone National Park: Eos, American Geophysical Union, v. 106, https://doi.org/10.1029/2025EO250233.","ipdsId":"IP-177954","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":494192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025eo250233","text":"Publisher Index Page"},{"id":493937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.88928406619566,\n 44.46668347948537\n ],\n [\n -110.88928406619566,\n 44.39930766993177\n ],\n [\n -110.77200069651616,\n 44.39930766993177\n ],\n [\n -110.77200069651616,\n 44.46668347948537\n ],\n [\n -110.88928406619566,\n 44.46668347948537\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"106","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harrison, Lauren 0000-0002-1597-118X","orcid":"https://orcid.org/0000-0002-1597-118X","contributorId":229553,"corporation":false,"usgs":false,"family":"Harrison","given":"Lauren","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":945545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":945546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Mara","contributorId":247557,"corporation":false,"usgs":false,"family":"Reed","given":"Mara","affiliations":[],"preferred":false,"id":945547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sims, Kenneth 0000-0001-6179-6610","orcid":"https://orcid.org/0000-0001-6179-6610","contributorId":352001,"corporation":false,"usgs":false,"family":"Sims","given":"Kenneth","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":945548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hungerford, Jefferson","contributorId":243584,"corporation":false,"usgs":false,"family":"Hungerford","given":"Jefferson","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":945549,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"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":70271375,"text":"70271375 - 2025 - Onset and evolution of summit lava fountaining during the Mauna Loa 2022 eruption","interactions":[],"lastModifiedDate":"2025-09-10T14:52:26.296146","indexId":"70271375","displayToPublicDate":"2025-06-27T07:45:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Onset and evolution of summit lava fountaining during the Mauna Loa 2022 eruption","docAbstract":"The start of the Mauna Loa 2022 eruption in the Mokuʻāweoweo summit caldera was entirely captured through webcam videos. We analyzed footage from the ~ 7-h summit episode, processing > 87,000 frames using a newly automated method to measure fountain heights, fissure lengths, and inflight ejecta volumes. The summit episode comprised four phases. In Phase 1 (~ 1 h), a ~ 1 km long fissure propagated from southwest to northeast, with steady fountain heights reaching 125 m. In Phase 2 (~ 50 min), two further fissure segments extended the total length to ~ 2.4 km, with fountains focused into point sources reaching up to 70 m. In Phase 3 (~ 70 min), the eruption was steady with no major changes in eruptive behavior. In Phase 4 (~ 4 h), fountains became unsteady and weak (< 30 m). Fissure growth rates varied from ~ 20 to -9 m/min, and bulk magma flux peaked at 2.7 × 104 m3/s. An inverse relationship between maximum fountain heights and fissure lengths suggests that total magma flux was nearly constant until Phase 4. We propose an interconnected feeding system for the summit episode with a preferential pathway for gas-rich magma in the southwest portion of the caldera. The sustained nature of the episode was likely driven by the fast rise of melt coupled with small bubbles, with trains of decoupled larger bubbles producing pulsations. Webcam videography was an effective tool to quantify early-stage eruption parameters and could be further explored for rapid response and fine-tuning of hazard mitigation strategies on erupting basaltic volcanoes.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-025-01850-z","usgsCitation":"Pasqualon, N.G., Houghton, B.F., Patrick, M.R., Llewellin, E.W., and Tisdale, C.M., 2025, Onset and evolution of summit lava fountaining during the Mauna Loa 2022 eruption: Bulletin of Volcanology, v. 87, 58, 17 p., https://doi.org/10.1007/s00445-025-01850-z.","productDescription":"58, 17 p.","ipdsId":"IP-175520","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":495278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.02478567084205,\n 20.32017453313877\n ],\n [\n -156.0823626952265,\n 19.722565628311997\n ],\n [\n -156.01845656540482,\n 19.172467415538705\n ],\n [\n -155.8853727071243,\n 19.014916638266172\n ],\n [\n -155.67928378223007,\n 18.868287419874775\n ],\n [\n -154.76902476310184,\n 19.405671946951102\n ],\n [\n -155.07379675427597,\n 20.114573804066268\n ],\n [\n -156.02478567084205,\n 20.32017453313877\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"87","noUsgsAuthors":false,"publicationDate":"2025-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Pasqualon, Natalia G.","contributorId":361168,"corporation":false,"usgs":false,"family":"Pasqualon","given":"Natalia","middleInitial":"G.","affiliations":[{"id":47560,"text":"University of Hawaii Manoa","active":true,"usgs":false}],"preferred":false,"id":948313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":948314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":948315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Llewellin, Edward W.","contributorId":353668,"corporation":false,"usgs":false,"family":"Llewellin","given":"Edward","middleInitial":"W.","affiliations":[{"id":25252,"text":"Durham University","active":true,"usgs":false}],"preferred":false,"id":948316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tisdale, Caroline M.","contributorId":247598,"corporation":false,"usgs":false,"family":"Tisdale","given":"Caroline","middleInitial":"M.","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":948317,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"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":"