Earthquake source parameters such as magnitude, seismic moment, source dimension, stress drop, and radiated energy are fundamental to understanding earthquake physics, and are also key ingredients in earthquake ground‐motion modeling, rupture simulation, and statistical seismology. However, the uncertainties in these parameters estimated from the radiated seismic wavefield are large due to variability in approaches, including site and attenuation characterizations, and so estimates for an individual earthquake made by different studies can vary greatly. Estimating spectral source parameters remains a popular topic, due to a combination of their intrinsic importance and their apparent ease of measurement, but also a controversial one, due to many sources of variability and large uncertainty. The available methods coupled with necessary parameter choices and assumptions in the analysis make it challenging for researchers to apply methods or understand the reliability in results or reported source parameters. This Special Section on Improving Measurements of Earthquake Source Parameters showcasing comparisons between methods and studies seeks to alleviate some of these difficulties to help the community identify the important components and trade‐offs of decomposing recorded seismograms into their source, path, and site components.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250055","usgsCitation":"Baltay Sundstrom, A.S., Abercrombie, R., Oth, A., and Uchide, T., 2025, Introduction to the special section on improving measurements of earthquake source parameters: Bulletin of the Seismological Society of America, v. 115, no. 3, p. 723-733, https://doi.org/10.1785/0120250055.","productDescription":"11 p.","startPage":"723","endPage":"733","ipdsId":"IP-177219","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":485558,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Baltay, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":936169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abercrombie, Rachel E.","contributorId":293131,"corporation":false,"usgs":false,"family":"Abercrombie","given":"Rachel E.","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":936170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oth, Adrien 0000-0003-4859-6504","orcid":"https://orcid.org/0000-0003-4859-6504","contributorId":352096,"corporation":false,"usgs":false,"family":"Oth","given":"Adrien","affiliations":[{"id":84096,"text":"Walferdange Luxembourg","active":true,"usgs":false}],"preferred":false,"id":936171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Uchide, Takahiko","contributorId":293567,"corporation":false,"usgs":false,"family":"Uchide","given":"Takahiko","email":"","affiliations":[{"id":27746,"text":"Geological Survey of Japan","active":true,"usgs":false}],"preferred":false,"id":936172,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266394,"text":"70266394 - 2025 - An early Holocene wet period in the southwestern United States","interactions":[],"lastModifiedDate":"2025-08-04T15:42:14.492448","indexId":"70266394","displayToPublicDate":"2025-05-02T08:37:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"An early Holocene wet period in the southwestern United States","docAbstract":"Multiple generations of spring-fed streams traversed ∼800 km2 of the Las Vegas Valley in southern Nevada between ca. 10.9 ka and 8.5 ka, depositing an extensive tufa network. The scale of this network and diversity of tufa morphologies is novel in North America and offers an opportunity to obtain quantitative paleoclimate data for the region during the early Holocene. We determined isotopic compositions and estimated past temperatures using clumped isotope data from early Holocene tufa on the valley floor (698 m) as well as tufa forming today at higher elevation in the nearby Spring Mountains at Cold Creek Spring (1856 m). Modern and fossil tufa yielded comparably low δ18O values, implying that source waters for both were derived from high-elevation winter precipitation. Clumped isotope temperatures of modern tufa average 15.8 ± 2.5 °C, aligning with mean summer temperatures of the emergent spring water, and indicate equilibrium conditions of tufa formation. The early Holocene tufa yielded similar clumped isotope temperatures, averaging 15.2 ± 3.9 °C, meaning it precipitated at temperatures that occur at much higher elevations today. The Las Vegas tufa record, combined with nearby and temporally correlative paleospring and lacustrine records, suggest that cool/wet conditions prevailed throughout the Mojave Desert during the early Holocene. These records also demonstrate that spring ecosystems responded to millennial-scale hydroclimate variations that supersede climate change driven solely by insolation. The previously unrecognized pattern of ecosystem response to hydroclimate documented here may assist in understanding climate drivers for the early Holocene and provide critical information for the fate of groundwater-dependent ecosystems in the southwestern United States.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G53174.1","usgsCitation":"Springer, K.B., Hudson, A.M., Pigati, J.S., Huntington, K.W., and Schauer, A.J., 2025, An early Holocene wet period in the southwestern United States: Geology, v. 53, no. 8, p. 631-635, https://doi.org/10.1130/G53174.1.","productDescription":"5 p.","startPage":"631","endPage":"635","ipdsId":"IP-147460","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":485440,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Las Vegas Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.75,\n 36.75\n ],\n [\n -115.75,\n 36\n ],\n [\n -115,\n 36\n ],\n [\n -115,\n 36.75\n ],\n [\n -115.75,\n 36.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"53","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":935810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":935811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":935812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huntington, Katharine W.","contributorId":195423,"corporation":false,"usgs":false,"family":"Huntington","given":"Katharine","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":935813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schauer, Andrew J.","contributorId":140713,"corporation":false,"usgs":false,"family":"Schauer","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":935814,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272582,"text":"70272582 - 2025 - Spatially explicit capture-mark-recapture to evaluate demographic status of the Louisiana black bear","interactions":[],"lastModifiedDate":"2025-11-24T15:39:23.408333","indexId":"70272582","displayToPublicDate":"2025-05-02T08:25:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit capture-mark-recapture to evaluate demographic status of the Louisiana black bear","docAbstract":"Louisiana black bears (Ursus americanus luteolus) occur in semi-isolated fragments of bottomland hardwood forest in the lower Mississippi Alluvial Valley and were listed as threatened under the United States Endangered Species Act in 1992. A population viability analysis based on radio-telemetry and capture-mark-recapture (CMR) data collected from 2002 to 2012 revealed that the probability of bears persisting in at least 1 subpopulation was >0.999, which prompted the United States Fish and Wildlife Service to remove the Louisiana black bear from the threatened species list in 2016. A post-delisting monitoring plan was developed, which included continued noninvasive CMR surveys to monitor subpopulation trends. We used genetic CMR data based on non-invasively collected hair samples for a post-delisting assessment of the demographic status of the black bear subpopulations in Louisiana, USA. The assessment included primary range in the Tensas River Basin (TRB; 2006–2020), the Upper Atchafalaya River Basin (UARB; 2007–2020), and the Three Rivers Complex (TRC; 2014 and 2021), where bears had been reintroduced beginning in 2001, and adjacent areas of possible range expansion (i.e., secondary range). We used spatially explicit closed-population capture-recapture models to estimate abundance (N), density (D), and the realized population growth rate (λ) for female bears at TRB, UARB, and TRC. Model-averaged estimates of N for primary range at TRB ranged from 135 (95% CI = 121–149) female bears in 2006 to 140 (95% CI = 123–157) in 2020 with mean λ of 1.003 (95% CI = 0.991–1.015), which suggested a stable primary population. An estimated 56 (95% CI = 19–92) additional female bears occurred in secondary range at TRB in 2020. Model-averaged estimates of N for primary range at UARB ranged from 35 (95% CI = 28–43) females in 2007 to 33 (95% CI = 28–43) in 2020, with mean λ = 0.996 (95% CI = 0.972–1.020), again suggesting a stable population. We estimated 3 (95% CI = 0–6) additional female bears occurred in secondary range at UARB during 2020. The estimate of N at TRC was 28 (95% CI = 18–44) females in 2014 and 42 (95% CI = 19–94) in 2021. The number of bears in the secondary ranges suggests some bears may have emigrated from the primary areas and colonized secondary areas, likely facilitated by increases in bottomland hardwood forests adjacent to the core populations. The stable primary populations, the reintroduced population at TRC, and the number of bears in secondary range adjacent to TRB indicate the overall number of Louisiana black bears has increased since monitoring began.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70023","usgsCitation":"Clark, J.D., Adams, H.L., Augustine, B., Berry, J.R., Champagne, D., Davidson, M., Hanks, J., Laufenberg, J.S., and Murphy, S.M., 2025, Spatially explicit capture-mark-recapture to evaluate demographic status of the Louisiana black bear: Journal of Wildlife Management, v. 89, no. 5, e70023, 19 p., https://doi.org/10.1002/jwmg.70023.","productDescription":"e70023, 19 p.","ipdsId":"IP-167830","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":496825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi Alluvial Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.838224038886,\n 32.76704554295411\n ],\n [\n -92.00742445013995,\n 31.79517824097138\n ],\n [\n -91.838224038886,\n 30.560509464604237\n ],\n [\n -91.33801935478277,\n 30.560509464604237\n ],\n [\n -91.4335879079766,\n 31.604282104237825\n ],\n [\n -90.97400724274002,\n 32.3050125648729\n ],\n [\n -91.838224038886,\n 32.76704554295411\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Heidi L.","contributorId":362940,"corporation":false,"usgs":false,"family":"Adams","given":"Heidi","middleInitial":"L.","affiliations":[{"id":54517,"text":"Louisiana Tech University","active":true,"usgs":false}],"preferred":false,"id":950852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Augustine, Ben 0000-0001-6935-6361","orcid":"https://orcid.org/0000-0001-6935-6361","contributorId":245736,"corporation":false,"usgs":true,"family":"Augustine","given":"Ben","email":"","affiliations":[{"id":49304,"text":"Department of Natural Resources, Cornell University","active":true,"usgs":false}],"preferred":false,"id":950853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, John R. III","contributorId":362941,"corporation":false,"usgs":false,"family":"Berry","given":"John","suffix":"III","middleInitial":"R.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":950854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Champagne, Dustin","contributorId":362942,"corporation":false,"usgs":false,"family":"Champagne","given":"Dustin","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":950855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davidson, Maria","contributorId":139273,"corporation":false,"usgs":false,"family":"Davidson","given":"Maria","email":"","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":950856,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanks, John","contributorId":360685,"corporation":false,"usgs":false,"family":"Hanks","given":"John","affiliations":[{"id":62256,"text":"LDWF","active":true,"usgs":false}],"preferred":false,"id":950857,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Laufenberg, Jared S.","contributorId":28899,"corporation":false,"usgs":false,"family":"Laufenberg","given":"Jared","email":"","middleInitial":"S.","affiliations":[{"id":7006,"text":"Department of Forestry, Wildlife and Fisheries, University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":950858,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Sean M. 0000-0002-9404-8878","orcid":"https://orcid.org/0000-0002-9404-8878","contributorId":346967,"corporation":false,"usgs":true,"family":"Murphy","given":"Sean","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":950859,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70264061,"text":"70264061 - 2025 - Sources and risk factors for nitrate, pathogens, and fecal contamination of private wells in rural southwestern Wisconsin, USA","interactions":[],"lastModifiedDate":"2025-03-05T15:27:14.791487","indexId":"70264061","displayToPublicDate":"2025-05-02T08:20:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Sources and risk factors for nitrate, pathogens, and fecal contamination of private wells in rural southwestern Wisconsin, USA","docAbstract":"Household well water can be degraded by contaminants from the land's surface, but private well owners lack means to protect the source water from neighboring disturbances. Rural residents of southwestern Wisconsin, USA, rely on private well water, and the combination of land use and fractured carbonate bedrock makes groundwater vulnerable to contamination. To identify the extent, sources, and risk factors of private well contamination, randomly selected wells sampled during two-day periods in fall (n = 301) and spring (n = 529) were analyzed for nitrate and indicator bacteria, and a subset (n = 138) was sampled across four seasonal events for analysis of pathogens and microbial source tracking markers by quantitative polymerase chain reaction. Risk factors representing land use, hydrology, geology, and well construction were analyzed for associations with contamination in multivariable models. The importance of risk factors varied by contaminant, illustrating the multifaceted nature of rural groundwater quality. Nitrate contamination was associated with agricultural land use, and wells with casings that extended below a shale aquitard accessed less contaminated water than those drawing water from above it. Human fecal microbes were detected in 64 wells (46%), and rainfall was the key risk factor for contamination, indicating that wastewater from septic systems was available to contaminate wells when transport conditions were favorable. Manure microbes from cattle/ruminants and pigs were detected in 33 and 13 wells, respectively, and concentrations increased with the hectarage of cultivated land near wells. Pathogen genes for viruses, bacteria, and protozoa were detected in 66 wells (48%), including more detections of zoonotic than human-specific pathogens, and human Bacteroides, an indicator of wastewater, was an equivocal predictor of pathogen presence in private wells. Characterizing important elements of the setting, like geology, and identifying sources and risk factors for contaminants can inform landscape-level policies to protect groundwater quality.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2025.123202","usgsCitation":"Stokdyk, J.P., Firnstahl, A.D., Bradbury, K., Muldoon, M.A., Kieke Jr., B., and Borchardt, M.A., 2025, Sources and risk factors for nitrate, pathogens, and fecal contamination of private wells in rural southwestern Wisconsin, USA: Water Research, v. 275, 123202, 13 p., https://doi.org/10.1016/j.watres.2025.123202.","productDescription":"123202, 13 p.","ipdsId":"IP-171110","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":482899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Grant County, Iowa County, Lafayette County","otherGeospatial":"southwestern 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decipher salinization for coastal Louisiana","docAbstract":"Coastal Louisiana is known for saltwater intrusion that threatens wetlands, aquifers, and rivers. However, the extent of saltwater intrusion is not well understood. This study develops an innovative framework with airborne electromagnetic (AEM) data to map chloride concentration distributions for wetlands in the Mississippi River deltaic plain and Chenier plain as well as for the Mississippi River Valley alluvial aquifer (MRVA) and Chicot aquifer. Moreover, the framework maps chloride concentrations along the Mississippi River and Atchafalaya River. Key components in the framework include the establishment of resistivity-to-chloride concentration transformation, 3D resistivity architecture building through geostatistics, and the employment of a lithologic model. The transformation functions correlate AEM resistivity data with porewater salinity measurements and groundwater and river chloride samples. The results show that AEM data reliably infers soil water chloride concentrations and correlates well with the distribution of various marsh types. AEM data reveals extensive saltwater presence at depth and near the coast, originating from salt domes and the Gulf of Mexico, respectively. The saltwater upconing pattern in the Chicot aquifer is likely due to excessive groundwater withdrawals. The AEM data also confirms a distinct tongue of saltwater intruding into the Atchafalaya Basin from the Gulf. The AEM data helps to identify faults that are obscured or eroded at the surface, which appear as leaky barriers in the subsurface where dramatic changes in chloride concentration are apparent. Finally, this study uses the AEM data to infer the presence of an extensive seawater wedge in the Mississippi River and Atchafalaya River.","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2025.123215","usgsCitation":"Attia, M., Tsai, F.T., Yang, S., Minsley, B.J., and Kress, W., 2025, Airborne geophysical analysis to decipher salinization for coastal Louisiana: Water Research, v. 271, 123215, 15 p., https://doi.org/10.1016/j.watres.2025.123215.","productDescription":"123215, 15 p.","ipdsId":"IP-172321","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":489931,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://repository.lsu.edu/civil_engineering_pubs/1456","text":"Publisher Index Page"},{"id":481808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"coastal Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.73623237534059,\n 30.56098510625779\n ],\n [\n -93.73623237534059,\n 28.997878726132328\n ],\n [\n -89.2134138791802,\n 28.997878726132328\n ],\n [\n -89.2134138791802,\n 30.56098510625779\n ],\n [\n -93.73623237534059,\n 30.56098510625779\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"271","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Attia, Michael","contributorId":350698,"corporation":false,"usgs":false,"family":"Attia","given":"Michael","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":926677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tsai, Frank T.-C.","contributorId":305938,"corporation":false,"usgs":false,"family":"Tsai","given":"Frank","email":"","middleInitial":"T.-C.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":926678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, Shuo","contributorId":350699,"corporation":false,"usgs":false,"family":"Yang","given":"Shuo","affiliations":[{"id":49206,"text":"INTERA Incorporated","active":true,"usgs":false}],"preferred":false,"id":926679,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, Burke J. 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":248573,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":926680,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kress, Wade 0000-0002-6833-028X","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":203539,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":926681,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70265915,"text":"cir1551 - 2025 - U.S. Geological Survey Colorado River Basin science and technology collaboration meetings on drought (2021)—Synthesis of findings","interactions":[],"lastModifiedDate":"2025-09-11T19:01:41.957549","indexId":"cir1551","displayToPublicDate":"2025-05-01T11:15:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1551","displayTitle":"U.S. Geological Survey Colorado River Basin Science and Technology Collaboration Meetings on Drought (2021)—Synthesis of Findings","title":"U.S. Geological Survey Colorado River Basin science and technology collaboration meetings on drought (2021)—Synthesis of findings","docAbstract":"Ongoing, prolonged, and severe drought and water overuse during the first two decades of the 21st century have reduced water supplies of the Colorado River Basin, with effects cascading to ecosystems and human communities throughout the basin. In June and July 2021, the U.S. Geological Survey (USGS) Colorado River Basin Actionable and Strategic Integrated Science and Technology initiative team held a series of 12 collaboration meetings with USGS scientists and managers to discuss complicated, integrated science challenges and solutions related to drought in the Colorado River Basin. These Science and Technology collaboration meetings were structured to identify challenges experienced by meeting participants when working on complex problems, explore opportunities for coproducing scientific information, and envision future collaborative programs that leverage new technology. The 12 meetings were attended by 79 USGS staff representing 43 unique affiliations (for example, USGS science centers, mission areas, and regional offices). Meeting participants submitted 865 individual responses to six general discussion prompt topics (“Challenges,” “Knowledge Gaps,” “Existing Capabilities,” “Strategies and Actions,” “Example Applications,” and “Next Steps”) using a structured online collaboration tool. However, specific questions or tasks from each general discussion prompt varied by meeting topic. Terms from the USGS Thesaurus (https://apps.usgs.gov/thesaurus/) and USGS Data Lifecycle Model (https://www.usgs.gov/data-management/data-lifecycle) were used to identify and summarize participant responses relevant to science integration, stakeholder engagement, and information management technology. From these responses, opportunities for the Colorado River Basin Actionable and Strategic Integrated Science and Technology initiative to facilitate science integration in the Colorado River Basin are highlighted in this report, including (a) pursuing specific interdisciplinary research topics that require integrating knowledge across spatial and temporal scales, (b) connecting scientists across disciplines, (c) reducing barriers to stakeholder engagement, (d) identifying new technologies, and (e) facilitating data access. Multiple strategies for designing future Science and Technology collaboration meetings are also outlined in this circular to better collect and analyze participant responses.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/cir1551","usgsCitation":"Monroe, A.P., Alexander, J.S., Anderson, E.D., Anderson, P.J., Andrews, W.J., Driscoll, J.M., Frus, R.J., Hevesi, J.A., Jones, D.K., Thomas, K.A., Tillery, A.C., Torregrosa, A., and Dahm, K.G., 2025, U.S. Geological Survey Colorado River Basin science and technology collaboration meetings on drought (2021)—Synthesis of findings: U.S. Geological Survey Circular 1551, 17 p., https://doi.org/10.3133/cir1551.","productDescription":"Report: iv, 17 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-159062","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":485359,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1551/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Circular 1551"},{"id":484771,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QIBOJY","text":"USGS data release","linkHelpText":"Summary of Responses at the 2021 Colorado River Basin Science and Technology Meetings"},{"id":484770,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1551/cir1551.pdf","text":"Report","size":"3.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1551"},{"id":484769,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1551/coverthb.jpg"},{"id":485258,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1551/cir1551.xml"},{"id":485257,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1551/images"}],"country":"Mexico, United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Sonora, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.84288087645007,\n 39.71384827828035\n ],\n [\n -105.7152848621287,\n 40.31627361955492\n ],\n [\n -107.15413242417426,\n 42.58617572195294\n ],\n [\n -110.24707077090045,\n 42.71786640310043\n ],\n [\n -110.89757634299599,\n 41.77462246338027\n ],\n [\n -110.95331264260932,\n 40.79783839963443\n ],\n [\n -112.038576374738,\n 37.469561144392586\n ],\n [\n -115.98036476910397,\n 38.79317671202148\n ],\n [\n -115.44123475079675,\n 32.992451748753595\n ],\n [\n -114.82264190472011,\n 31.47874298522271\n ],\n [\n -112.27051510504592,\n 30.18537034627093\n ],\n [\n -108.23443902124117,\n 30.2194618603899\n ],\n [\n -106.42157190796223,\n 36.17948752808586\n ],\n [\n -105.84288087645007,\n 39.71384827828035\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
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High spatial and temporal resolution models are essential for understanding future climate impacts and developing effective climate resilience plans. However, existing regional and global river models often lack the resolution needed to accurately capture local conditions. This study uses a series of high-resolution models, including the Regional Arctic System Model, mizuRoute, and the river basin model, to analyze Arctic and sub-Arctic Alaskan hydrology. We compare a historical baseline (1991–2020) with six midcentury (2035–64) futures: two pseudo–global warming scenarios based on historical meteorology and four direct dynamically downscaled global climate models. The six futures reveal significant uncertainty in future annual discharge and peak flows, although a widespread increase in discharge during April (+63%) and October (+31%) is consistently shown across models. Projected increases in rain and shifting weather patterns lead to a transition from snow to rain in spring and autumn, reducing the fraction of snowmelt contributing to river discharge. Rising evapotranspiration moderates discharge changes, particularly in autumn, by offsetting precipitation increases. Average summer river temperatures are projected to increase by approximately 1.5°C, doubling the number of river segments that experience 18°C days, a critical threshold for salmon survival, and intensifying the heat flux to the ocean adding an average of 3.3 × 1012 MJ yr−1. These changes in the hydrologic cycle could profoundly impact riverine and oceanic ecosystems, posing substantial challenges to communities reliant on these environments.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JHM-D-24-0121.1","usgsCitation":"Blaskey, D., Cheng, Y., Newman, A.C., Koch, J.C., Goseff, M., and Musselman, K., 2025, Alaskan hydrology in transition: Changing precipitation and evapotranspiration patterns are projected to reshape seasonal streamflow and water temperature by midcentury (2035-2064): Journal of Hydrometeorology, v. 26, no. 5, p. 613-626, https://doi.org/10.1175/JHM-D-24-0121.1.","productDescription":"14 p.","startPage":"613","endPage":"626","ipdsId":"IP-170645","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":490374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, 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\"}}]}","volume":"26","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Blaskey, D","contributorId":302754,"corporation":false,"usgs":false,"family":"Blaskey","given":"D","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":940066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cheng, Yifan","contributorId":332342,"corporation":false,"usgs":false,"family":"Cheng","given":"Yifan","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":940067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newman, A. C. 0000-0001-6621-2717","orcid":"https://orcid.org/0000-0001-6621-2717","contributorId":211589,"corporation":false,"usgs":false,"family":"Newman","given":"A.","email":"","middleInitial":"C.","affiliations":[{"id":38269,"text":"Aarhus, Denmark","active":true,"usgs":false}],"preferred":false,"id":940068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@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},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":940069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goseff, M","contributorId":356787,"corporation":false,"usgs":false,"family":"Goseff","given":"M","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":940070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Musselman, K","contributorId":302756,"corporation":false,"usgs":false,"family":"Musselman","given":"K","email":"","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":940071,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268081,"text":"70268081 - 2025 - Anatectic origin of Mississippian spodumene-bearing pegmatites in western Maine during orogenic plateau collapse","interactions":[],"lastModifiedDate":"2025-06-12T14:42:57.867296","indexId":"70268081","displayToPublicDate":"2025-05-01T09:35:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Anatectic origin of Mississippian spodumene-bearing pegmatites in western Maine during orogenic plateau collapse","docAbstract":"Spodumene pegmatites are an important lithium source, but the processes and tectonic settings in which they form are poorly understood. The Rumford pegmatite district surrounding Plumbago Mountain, western Maine, is host to numerous spodumene pegmatites, including the Plumbago North pegmatite (a world-class spodumene resource). Competing petrogenetic models for these spodumene pegmatites include (1) highly fractionated melts of the Mooselookmeguntic igneous complex and (2) anatexis. We tested these hypotheses by constraining the geologic, magmatic, metamorphic, and tectonic history of the Plumbago Mountain area with detailed geologic mapping and U-(Th)-Pb geochronology. The Silurian Rangeley Formation records initial isoclinal folding prior to, and contact-related metamorphism synchronous with, the intrusion of the 417 ± 4 Ma Plumbago Mountain pluton. Peak amphibolite facies metamorphism and crustal melting occurred during the ca. 410 to 400 Ma Acadian orogeny. Pulsed emplacement of the Mooselookmeguntic igneous complex occurred between ca. 389 and 356 Ma. Cassiterite U-Pb dates of spodumene pegmatites (333–327 Ma) are ≥23 m.y. younger than nearby granitic plutons, strongly arguing against the fractional crystallization model. Metamorphic monazite and xenotime (346–328 Ma) and 330 to 308 Ma 40Ar/39Ar hornblende dates indicate metamorphism coeval with spodumene pegmatite emplacement, supporting anatectic models. Reheating, anatexis, and spodumene pegmatite emplacement occurred during collapse of the 380 to 330 Ma Acadian orogenic plateau. Lithium enrichment may be linked to one or more stages of partial melting of metasedimentary and plutonic rocks during the formation, tenure, and collapse of the Acadian altiplano and emphasizes the role of anatexis in producing spodumene pegmatites of economic significance.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.5150","usgsCitation":"Felch, M., Hillenbrand, I.W., Eusden, J., Holm-Denoma, C., Bradley, D., Whittaker, A.T., Jercinovic, M.J., Williams, M.L., and Pianowski, L., 2025, Anatectic origin of Mississippian spodumene-bearing pegmatites in western Maine during orogenic plateau collapse: Economic Geology, v. 120, no. 3, p. 779-806, https://doi.org/10.5382/econgeo.5150.","productDescription":"28 p.","startPage":"779","endPage":"806","ipdsId":"IP-164466","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":490509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.875,\n 44.6\n ],\n [\n -70.875,\n 44.5\n ],\n [\n -70.5833,\n 44.5\n ],\n [\n -70.5833,\n 44.6\n ],\n [\n -70.875,\n 44.6\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"120","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Felch, Myles M","contributorId":356816,"corporation":false,"usgs":false,"family":"Felch","given":"Myles M","affiliations":[{"id":85242,"text":"Maine Mineral & Gem Museum","active":true,"usgs":false}],"preferred":false,"id":940159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hillenbrand, Ian William 0000-0003-2801-3674","orcid":"https://orcid.org/0000-0003-2801-3674","contributorId":299032,"corporation":false,"usgs":true,"family":"Hillenbrand","given":"Ian","email":"","middleInitial":"William","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":940160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eusden, J. Dykstra","contributorId":356817,"corporation":false,"usgs":false,"family":"Eusden","given":"J. Dykstra","affiliations":[{"id":33413,"text":"Bates College","active":true,"usgs":false}],"preferred":false,"id":940161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":940162,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Dwight C. 0000-0001-9116-5289","orcid":"https://orcid.org/0000-0001-9116-5289","contributorId":302424,"corporation":false,"usgs":false,"family":"Bradley","given":"Dwight C.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":940163,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whittaker, Amber T.H.","contributorId":313574,"corporation":false,"usgs":false,"family":"Whittaker","given":"Amber","email":"","middleInitial":"T.H.","affiliations":[{"id":7257,"text":"Maine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":940164,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jercinovic, Michael J.","contributorId":316620,"corporation":false,"usgs":false,"family":"Jercinovic","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":68659,"text":"University of Massachusetts - Amherst","active":true,"usgs":false}],"preferred":false,"id":940166,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, Michael L.","contributorId":215495,"corporation":false,"usgs":false,"family":"Williams","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":940165,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pianowski, Laura 0000-0002-5346-8251","orcid":"https://orcid.org/0000-0002-5346-8251","contributorId":218817,"corporation":false,"usgs":true,"family":"Pianowski","given":"Laura","email":"","affiliations":[],"preferred":true,"id":940167,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70267421,"text":"70267421 - 2025 - The socio-ecological niche","interactions":[],"lastModifiedDate":"2025-05-23T16:39:59.043765","indexId":"70267421","displayToPublicDate":"2025-05-01T09:34:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5936,"text":"People and Nature","active":true,"publicationSubtype":{"id":10}},"title":"The socio-ecological niche","docAbstract":"1. Ecologists recognise that we live on an increasingly human-dominated planet, yet most of the field's foundational concepts remain essentially biophysical, with little reference to human society.
2. There are few better examples of this divide between ecological and social theory than the niche concept. During its century-long history, the niche concept has been defined in many ways, including to describe the ecological roles of humans. To date, however, it has not incorporated human influences into its various descriptions of other species' ecological roles.
3. In this essay, we present the socio-ecological niche (SEN) concept, which builds on the literature in niche theory by contributing insights from the social sciences and humanities to better understand the roles of non-human species in modern socio-ecological systems.
4. We argue that the SEN enriches the niche concept and offers a point of connection between ecology and justice.
","language":"English","publisher":"British Ecological Society","doi":"10.1002/pan3.70032","collaboration":"University of Washington","usgsCitation":"Mcinturff, M.C., Alagona, P., Cannon, C., and Pellow, D., 2025, The socio-ecological niche: People and Nature, v. 7, no. 5, p. 1185-1197, https://doi.org/10.1002/pan3.70032.","productDescription":"13 p.","startPage":"1185","endPage":"1197","ipdsId":"IP-163548","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490151,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/pan3.70032","text":"Publisher Index Page"},{"id":486528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Mcinturff, Michael C 0000-0002-4858-1292","orcid":"https://orcid.org/0000-0002-4858-1292","contributorId":337290,"corporation":false,"usgs":true,"family":"Mcinturff","given":"Michael","email":"","middleInitial":"C","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alagona, Peter S.","contributorId":355790,"corporation":false,"usgs":false,"family":"Alagona","given":"Peter S.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":938161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cannon, Clare E.B.","contributorId":355791,"corporation":false,"usgs":false,"family":"Cannon","given":"Clare E.B.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":938162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pellow, David N.","contributorId":355793,"corporation":false,"usgs":false,"family":"Pellow","given":"David N.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":938163,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267293,"text":"70267293 - 2025 - 2022–2024 Status and trends of the Palila (Loxioides bailleui)","interactions":[],"lastModifiedDate":"2025-05-23T19:58:57.262267","indexId":"70267293","displayToPublicDate":"2025-05-01T09:30:04","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":6053,"text":"Hawaii Cooperative Studies Unit Technical Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"HCSU-115","displayTitle":"2022–2024 Status and trends of the Palila (Loxioides bailleui)","title":"2022–2024 Status and trends of the Palila (Loxioides bailleui)","docAbstract":"Palila (Loxioides bailleui) are critically endangered Hawaiian honeycreepers specializing on the seedpods of māmane (Sophora chrysophylla) and restricted to Mauna Kea volcano on the Island of Hawaiʻi. A previous analysis of survey data estimated an 89% population decline between 1998 and 2021. Using the most recent annual survey data from 2022, 2023, and 2024, we report updated annual population estimates and trends since 1998. The 2022 population estimate was 367–742 birds (point estimate: 545); the 2023 population estimate was 374–842 birds (point estimate: 596); and the 2024 population estimate was 412–970 birds (point estimate: 666). Our estimates for survey years prior to 2022 were within the confidence intervals of the estimates from the previous analysis. Our models likewise showed a population fluctuating between 4,000 and 6,800 birds from 1998 to 2005 (except for an unusually low estimate in 2000), and then a steep decline through 2010. For the next decade, palila abundance fluctuated between 776 and 1,346 birds, before declining again in 2021 to 679 birds. From 1998 to 2024, the population declined by >90% or 203 birds/year, with very strong statistical evidence of an overall downward trend.
","language":"English","publisher":"University of Hawai‘i at Hilo","usgsCitation":"Hunt, N., Asing, C.K., Nietmann, L., Banko, P.C., and Camp, R.J., 2025, 2022–2024 Status and trends of the Palila (Loxioides bailleui): Hawaii Cooperative Studies Unit Technical Report HCSU-115, iii, 19 p.","productDescription":"iii, 19 p.","ipdsId":"IP-176419","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":486210,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":486153,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/5398"}],"country":"United States","state":"Hawaii","otherGeospatial":"Island of Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.6,\n 19.8333\n ],\n [\n -155.6,\n 19.7\n ],\n [\n -155.40506707246803,\n 19.7\n ],\n [\n -155.40506707246803,\n 19.8333\n ],\n [\n -155.6,\n 19.8333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hunt, Noah","contributorId":355564,"corporation":false,"usgs":false,"family":"Hunt","given":"Noah","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":937642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asing, Chauncey K.","contributorId":272645,"corporation":false,"usgs":false,"family":"Asing","given":"Chauncey","email":"","middleInitial":"K.","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":937643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nietmann, Lindsey","contributorId":331548,"corporation":false,"usgs":false,"family":"Nietmann","given":"Lindsey","email":"","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":937644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":937645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":937646,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70267453,"text":"70267453 - 2025 - Factors influencing daily nest survival rates of Aleutian terns in the Kodiak Archipelago, Alaska","interactions":[],"lastModifiedDate":"2025-05-23T16:32:54.511881","indexId":"70267453","displayToPublicDate":"2025-05-01T09:25:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing daily nest survival rates of Aleutian terns in the Kodiak Archipelago, Alaska","docAbstract":"The Aleutian tern (Onychoprion aleuticus) is a species of high conservation concern in Alaska, USA, owing to large declines at known breeding locations since the 1960s. The small population size and ephemeral behavior of this species have limited the collection of basic biological information and hindered the identification of potential drivers of this decline. Significant unknowns include the factors, and their relative importance, influencing nest survival. To investigate these questions, we estimated daily nest survival (DNS) for 148 nests from 5 breeding colonies during 2017 to 2020 in the Kodiak Archipelago, Alaska with 105 monitored using remote cameras. We used the nest survival model in program MARK to estimate DNS rates as a function of colony location, year, within-season time trends, vegetation cover and height, and 6 daily weather covariates. Our top model suggested that DNS rates increased with vegetation height, decreased as the season progressed, and included a significant interaction between year and colony. Average nest success (i.e., percent chance that a nest survived to hatch) over the 22-day incubation period varied by colony but was generally very low, averaging 1.2% (95% CI = 0–11%) in 2017–2018 to 14% (95% CI = 0.1–38%) in 2019–2020 across all colonies. The importance of year in the model suggests that a large-scale annual driver, like food availability, may have played an important role in this species' breeding success. A severe marine heatwave was present in the Gulf of Alaska during 2014–2016 and our results suggest that some effects of this anomalous event, such as reduced prey availability, lingered even after temperatures returned to normal. Additionally, the variation in DNS across colony locations indicated that local factors, such as predation pressure, may also drive significant variation in Aleutian tern productivity. These findings suggest that a combination of local factors and climate change may be important drivers of the >90% decline in Alaska's breeding population of Aleutian terns.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22732","usgsCitation":"Tengeres, J., Dugger, K., Corcoran, R., and Lyons, D.E., 2025, Factors influencing daily nest survival rates of Aleutian terns in the Kodiak Archipelago, Alaska: Journal of Wildlife Management, v. 89, no. 4, e22732, 17 p., https://doi.org/10.1002/jwmg.22732.","productDescription":"e22732, 17 p.","ipdsId":"IP-166207","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":486526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kodiak Archipelago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -153.72408205000391,\n 57.9173741239446\n ],\n [\n -153.72408205000391,\n 57.32202812052077\n ],\n [\n -151.9053609383034,\n 57.32202812052077\n ],\n [\n -151.9053609383034,\n 57.9173741239446\n ],\n [\n -153.72408205000391,\n 57.9173741239446\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Tengeres, Jill E.","contributorId":355844,"corporation":false,"usgs":false,"family":"Tengeres","given":"Jill E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":938259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corcoran, Robin M.","contributorId":355845,"corporation":false,"usgs":false,"family":"Corcoran","given":"Robin M.","affiliations":[{"id":84844,"text":"U.S. Fish and Wildlife Service,","active":true,"usgs":false}],"preferred":false,"id":938261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, Donald E.","contributorId":204663,"corporation":false,"usgs":false,"family":"Lyons","given":"Donald","email":"","middleInitial":"E.","affiliations":[{"id":13016,"text":"Department of Fisheries and Wildlife, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":938262,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70269940,"text":"70269940 - 2025 - Idiosyncratic spatial scaling of biodiversity–disease relationships","interactions":[],"lastModifiedDate":"2025-08-07T16:23:56.559115","indexId":"70269940","displayToPublicDate":"2025-05-01T09:17:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Idiosyncratic spatial scaling of biodiversity–disease relationships","docAbstract":"High host biodiversity is hypothesized to dilute the risk of vector-borne diseases if many host species are ‘dead ends' that cannot effectively transmit the disease and low-diversity areas tend to be dominated by competent host species. However, many studies on biodiversity–disease relationships characterize host biodiversity at single, local spatial scales, which complicates efforts to forecast disease risk if associations between host biodiversity and disease change with spatial scale. Here, our objective is to evaluate the spatial scaling of relationships between host biodiversity and Borrelia (the bacterial taxon which causes Lyme disease) infection prevalence in small mammals. We compared the associations between infection prevalence and small mammal host diversity for local communities (individual plots) and metacommunities (multiple plots aggregated within a landscape) sampled by the National Ecological Observatory Network (NEON), an emerging continental-scale environmental monitoring program with a hierarchical sampling design. We applied a multispecies, spatially-stratified capture–recapture model to a trapping dataset to estimate five small mammal biodiversity metrics, which we used to predict infection status for a subset of trapped individuals. We found that relationships between Borrelia infection prevalence and biodiversity did indeed vary when biodiversity was quantified at different spatial scales but that these scaling behaviors were idiosyncratic among the five biodiversity metrics. For example, species richness of local communities showed a negative (dilution) effect on infection prevalence, while species richness of the small mammal metacommunity showed a positive (amplification) effect on infection prevalence. Our modeling approach can inform future analyses as data from similar monitoring programs accumulate and become increasingly available through time. Our results indicate that a focus on single spatial scales when assessing the influence of biodiversity on disease risk provides an incomplete picture of the complexity of disease dynamics in ecosystems.
","language":"English","publisher":"Nordic Society Oikos","doi":"10.1111/ecog.07541","usgsCitation":"Gilbert, N.A., DiRenzo, G.V., and Zipkin, E., 2025, Idiosyncratic spatial scaling of biodiversity–disease relationships: Ecography, v. 2025, no. 5, e07541, 13 p., https://doi.org/10.1111/ecog.07541.","productDescription":"e07541, 13 p.","ipdsId":"IP-166571","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493806,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.07541","text":"Publisher Index Page"},{"id":493725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103.79469929309123,\n 49.09646929603289\n ],\n [\n -103.68585727501954,\n 40.73760320671225\n ],\n [\n -103.41172872889952,\n 31.989738528769458\n ],\n [\n -106.97439225502573,\n 31.559368481919833\n ],\n [\n -99.233036018366,\n 26.03830017900006\n ],\n [\n -79.60172129404337,\n 24.871286670280753\n ],\n [\n -68.62754461055297,\n 42.45895346896019\n ],\n [\n -71.39052201247834,\n 45.79255113886533\n ],\n [\n -79.93472542396827,\n 44.33548909164021\n ],\n [\n -84.1564540560646,\n 48.14762016540982\n ],\n [\n -103.79469929309123,\n 49.09646929603289\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2025","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Gilbert, Neil A.","contributorId":359068,"corporation":false,"usgs":false,"family":"Gilbert","given":"Neil","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":945185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":944996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zipkin, Elise 0000-0003-4155-6139 ezipkin@usgs.gov","orcid":"https://orcid.org/0000-0003-4155-6139","contributorId":242667,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise","email":"ezipkin@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":945186,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70266190,"text":"70266190 - 2025 - Cgsim: An R package for simulation of population genetics for conservation and management applications","interactions":[],"lastModifiedDate":"2025-04-30T15:52:26.168341","indexId":"70266190","displayToPublicDate":"2025-05-01T08:49:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Cgsim: An R package for simulation of population genetics for conservation and management applications","docAbstract":"Wildlife conservation and management increasingly considers genetic information to plan, understand and evaluate implemented population interventions. These actions commonly include conservation translocation and population reductions through removals. Change in genetic variation in response to management actions can be unintuitive due to the influence of multiple interacting drivers (e.g. genetic drift, life history traits, environmental stochasticity). Simulation is an excellent tool to understand the predicted consequences of different proposed or implemented actions. However, the genetic simulators that are robust to a wide variety of life history traits also have a steep learning curve to appropriately parameterize common management actions. To fill this gap, we have developed cgsim, an R package for simulating the genetic consequences of common management interventions for populations of wildlife species. We developed a set of functions to specifically understand the effects of four main aspects of managing small, declining or isolated populations: loss of genetic diversity to drift, augmenting existing populations (e.g. translocation), population reduction through targeted removals and population catastrophes driven by stochastic extrinsic forces. Our single population simulation model is individual-based, and flexible to a range of life history traits. Here we validate cgsim through comparison of simulations to theoretical expectations of genetic diversity loss and illustrate its applied utility by focusing on a recently published empirical example for the Greater Sage-Grouse. Cgsim is available as an R package at: https://doi.org/10.5066/P1BXBEXJ.
","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.14081","usgsCitation":"Zimmerman, S.J., and Oyler-McCance, S.J., 2025, Cgsim: An R package for simulation of population genetics for conservation and management applications: Molecular Ecology Resources, v. 25, no. 4, e14081, 9 p., https://doi.org/10.1111/1755-0998.14081.","productDescription":"e14081, 9 p.","ipdsId":"IP-170642","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487890,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1755-0998.14081","text":"Publisher Index Page"},{"id":485210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmerman, Shawna J 0000-0003-3394-6102 szimmerman@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-6102","contributorId":238076,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Shawna","email":"szimmerman@usgs.gov","middleInitial":"J","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":934858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":934859,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70267993,"text":"70267993 - 2025 - Sampling dragonflies for mercury analysis in Grand Canyon National Park, 2018–2024: A contribution of the Dragonfly Mercury Project","interactions":[],"lastModifiedDate":"2025-06-10T13:45:18.487894","indexId":"70267993","displayToPublicDate":"2025-05-01T08:36:56","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR-2025/283","title":"Sampling dragonflies for mercury analysis in Grand Canyon National Park, 2018–2024: A contribution of the Dragonfly Mercury Project","docAbstract":"The Dragonfly Mercury Project is a collaborative initiative that utilizes dragonfly larvae as biosentinels to monitor mercury concentrations across 180 national parks and other protected lands, including Grand Canyon National Park (GRCA). These indicators serve as surrogates for environmental risk and can indicate where fish consumption could pose health risks through exposure to mercury. From 2018–2024, citizen scientists and staff from the National Park Service and U.S. Geological Survey helped collect close to 400 larvae from 25 GRCA sites across nearly 300 river miles, revealing mercury concentrations ranging 3.0–1337 ng/g (parts per billion) dry weight. Results were available for 20 sites. Upon comparing mercury concentrations to an impairment index, most sites were classified as low or no risk for ecological impairment, though 10% (2 sites) exceeded moderate or severe risk benchmarks (Pete’s Pocket and Buck Farm Canyon, respectively). Sources of mercury to GRCA likely stem from a combination of atmospheric deposition, upstream discharge from Lake Powell, and other watershed contributions. In addition, food web dynamics, underlying water chemistry, and environmental disturbances (e.g., floods) contribute to mercury mobilization, production, and bioaccumulation. Report findings provide a baseline for connecting ongoing science in the Colorado River watershed, informing management actions, and enhancing public engagement through citizen science.","language":"English","publisher":"National Park Service","doi":"10.36967/2310449","usgsCitation":"Flanagan Pritz, C., Emery, C., Johnson, B.L., Willacker, J., Kotalik, C.J., Ko, K., Bell, M.A., Walters, D., and Eagles-Smith, C., 2025, Sampling dragonflies for mercury analysis in Grand Canyon National Park, 2018–2024: A contribution of the Dragonfly Mercury Project: Science Report NPS/SR-2025/283, vi, 41 p., https://doi.org/10.36967/2310449.","productDescription":"vi, 41 p.","ipdsId":"IP-174801","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":490303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.04824667570179,\n 36.90791840821794\n ],\n [\n -114.04824667570179,\n 36.24396097153053\n ],\n [\n -111.66402641450159,\n 36.24396097153053\n ],\n [\n -111.66402641450159,\n 36.90791840821794\n ],\n [\n -114.04824667570179,\n 36.90791840821794\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2025-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Flanagan Pritz, Colleen M.","contributorId":349812,"corporation":false,"usgs":false,"family":"Flanagan Pritz","given":"Colleen M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":939901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emery, Colleen 0000-0002-1208-3224","orcid":"https://orcid.org/0000-0002-1208-3224","contributorId":215534,"corporation":false,"usgs":true,"family":"Emery","given":"Colleen","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":939902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Branden L. 0000-0002-8018-6452 branden_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-8018-6452","contributorId":257446,"corporation":false,"usgs":true,"family":"Johnson","given":"Branden","email":"branden_johnson@usgs.gov","middleInitial":"L.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":939903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willacker, James 0000-0002-6286-5224","orcid":"https://orcid.org/0000-0002-6286-5224","contributorId":207883,"corporation":false,"usgs":true,"family":"Willacker","given":"James","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":939904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kotalik, Christopher James 0000-0001-6739-6036","orcid":"https://orcid.org/0000-0001-6739-6036","contributorId":301847,"corporation":false,"usgs":true,"family":"Kotalik","given":"Christopher","email":"","middleInitial":"James","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":939905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ko, Katherine","contributorId":356738,"corporation":false,"usgs":false,"family":"Ko","given":"Katherine","affiliations":[],"preferred":false,"id":939906,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bell, Michael A.","contributorId":173239,"corporation":false,"usgs":false,"family":"Bell","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":939907,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205921,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":939908,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":939909,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273792,"text":"70273792 - 2025 - Modeling wetland resources for spring migratory waterbirds under different agricultural management scenarios in the Iowa portion of the Prairie Pothole Region, USA","interactions":[],"lastModifiedDate":"2026-01-30T16:34:24.418814","indexId":"70273792","displayToPublicDate":"2025-04-30T10:30:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Modeling wetland resources for spring migratory waterbirds under different agricultural management scenarios in the Iowa portion of the Prairie Pothole Region, USA","docAbstract":"Constructed water quality wetlands, designed to accept tile drainage and surface runoff, are a promising solution for reducing surface water nutrient loading from agricultural systems. In addition to their water quality benefits, these systems may also offset losses of migratory waterbird stopover sites resulting from historical and future agricultural drainage modernization. To assess this possibility, we developed spatially explicit habitat models informed with expert opinion to explore the: 1) potential of water quality wetlands to provide suitable stopover resources for waterbirds during spring migration; and 2) the extent these wetlands can offset likely losses of stopover resources due to drainage modernization. We focused our modeling on the Iowa portion of the Prairie Pothole Region of North America as it was a historically important area within this vital region for waterbirds, but it has experienced widespread subsurface drainage. Model results indicate that unmitigated drainage modernization is likely to have a large negative effect on spring migratory resources for dabbling ducks and shorebirds and minimal effect on diving ducks. Water quality wetland installations are likely to provide habitat for dabbling and diving ducks, but wetland installation is unlikely to completely offset habitat losses for dabbling ducks and shorebirds. Drainage modernization aside, our results indicate that water quality wetlands can address several environmental issues associated with agricultural expansion and intensification by improving water quality and providing wetland resources for waterbirds and other organisms. Field-scale research is needed to validate these results.
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R.","contributorId":238115,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","middleInitial":"R.","affiliations":[],"preferred":false,"id":954811,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crumpton, William R.","contributorId":167788,"corporation":false,"usgs":false,"family":"Crumpton","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":954812,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dyson, Brian","contributorId":365794,"corporation":false,"usgs":false,"family":"Dyson","given":"Brian","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":954813,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Canfield, Timothy J.","contributorId":217452,"corporation":false,"usgs":false,"family":"Canfield","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":39634,"text":"U.S. Environmental Protection Agency, Ada, OK USA","active":true,"usgs":false}],"preferred":false,"id":954814,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Helmers, Matthew","contributorId":189905,"corporation":false,"usgs":false,"family":"Helmers","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":954815,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Green, David","contributorId":167789,"corporation":false,"usgs":false,"family":"Green","given":"David","affiliations":[],"preferred":false,"id":954816,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Forshay, Kenneth J.","contributorId":221060,"corporation":false,"usgs":false,"family":"Forshay","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":954817,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70268896,"text":"70268896 - 2025 - Experimental evaluation of Eastern box turtle (Terrapene carolina carolina) detectability in visual search surveys","interactions":[],"lastModifiedDate":"2025-07-10T14:28:35.360554","indexId":"70268896","displayToPublicDate":"2025-04-30T09:09:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Experimental evaluation of Eastern box turtle (Terrapene carolina carolina) detectability in visual search surveys","docAbstract":"Understanding how detection probability varies over time, space, or in response to measurable covariates is important to inform the monitoring and assessment of many species. A standard model to understand detectability, the availability/perception model, admits that detection probability is the composite of two components: availability and ability of surveyors to detect the target. Availability is largely affected by environmental and behavioral factors, whereas perception is primarily affected by attributes of individual observers and survey protocols, and thus can potentially be partially controlled by survey design. We designed and implemented a field study to understand the perception component of detection for Eastern Box Turtles (Terrapene carolina carolina) using visual encounter surveys. We obtained and deployed museum specimens of Eastern Box Turtle shells and subjected them to visual search surveys by observers in realistic field situations. Overall, about 50% of the box turtle shells were detected by observers, including 41.5% in what we categorized as partially visible and 63.0% as fully visible. There were significant differences among observers, which may be due to observer-specific variation in search technique; the observers varied in how well they achieved the protocol guidance. Therefore, in visual search surveys, care in study design and analysis should be taken to account for variation in perception to determine detectability, as our study suggests 37% of perceptible targets are missed by surveyors.
","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Heinle, W., Beswick, N., Wapman, E., and Royle, A., 2025, Experimental evaluation of Eastern box turtle (Terrapene carolina carolina) detectability in visual search surveys: Herpetological Conservation and Biology, v. 20, no. 1, p. 82-93.","productDescription":"12 p.","startPage":"82","endPage":"93","ipdsId":"IP-160033","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":492011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":491993,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol20_issue1.html"}],"country":"United States","state":"Maryland","otherGeospatial":"Patuxent Research Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.809722,\n 39.050556\n ],\n [\n -76.809722,\n 39.047222\n ],\n [\n -76.805556,\n 39.047222\n ],\n [\n -76.805556,\n 39.050556\n ],\n [\n -76.809722,\n 39.050556\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Heinle, William","contributorId":357763,"corporation":false,"usgs":false,"family":"Heinle","given":"William","affiliations":[{"id":85554,"text":"Dept. of Biology, Univ. Richmond","active":true,"usgs":false}],"preferred":false,"id":942537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beswick, Noelle","contributorId":357764,"corporation":false,"usgs":false,"family":"Beswick","given":"Noelle","affiliations":[{"id":85555,"text":"Dept. of Biology, University of Richmond","active":true,"usgs":false}],"preferred":false,"id":942538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wapman, Emily","contributorId":357765,"corporation":false,"usgs":false,"family":"Wapman","given":"Emily","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":942539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":942540,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267841,"text":"70267841 - 2025 - Coastal fine-grained sediment plumes from beach nourishment near Santa Barbara, California","interactions":[],"lastModifiedDate":"2025-08-18T15:08:09.593383","indexId":"70267841","displayToPublicDate":"2025-04-30T09:07:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21808,"text":"Coastal Engineering Journal","active":true,"publicationSubtype":{"id":10}},"title":"Coastal fine-grained sediment plumes from beach nourishment near Santa Barbara, California","docAbstract":"Terrestrial sediments captured by flood control facilities such as dams, debris basins, and engineered stream channels can reduce sediment fluxes to littoral cells. The beneficial use of these sediments for beach nourishment may induce negative environmental effects from turbidity or sedimentation caused by the source material. Here, we examine the size and extent of turbid coastal plumes produced by beach nourishment with sediment containing significant fine-grained (silt and clay) fractions near Santa Barbara, California, to evaluate the potential effects of beneficial use of fluvial sediment captured in upstream facilities. Using remotely sensed imagery and hydrodynamic and sediment transport model simulations, we find that wave height, wind speed and direction, and sediment settling velocity have strong controls on the direction and extent of the turbid plume produced by beach nourishment. These results are consistent with monitored nourishment projects, suggesting generalizable patterns and processes across the studies. Additionally, we find that sediment placement method (hauling versus dredging) can influence the magnitude and duration of fine-sediment concentrations in the adjacent coastal waters. Combined, these results will inform sediment management strategies that intend to minimize the environmental effects of beach nourishment within the study area and across similar coastal sites.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/21664250.2025.2497705","usgsCitation":"Warrick, J.A., Stevens, A.W., and Tehranirad, B., 2025, Coastal fine-grained sediment plumes from beach nourishment near Santa Barbara, California: Coastal Engineering Journal, v. 67, no. 3, p. 558-582, https://doi.org/10.1080/21664250.2025.2497705.","productDescription":"25 p.","startPage":"558","endPage":"582","ipdsId":"IP-172366","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":489545,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":490617,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/21664250.2025.2497705","text":"Publisher Index Page"}],"country":"United States","state":"California","city":"Santa Barbara","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.84691794723162,\n 34.42243236962841\n ],\n [\n -119.84691794723162,\n 34.399358663431116\n ],\n [\n -119.7692183271959,\n 34.399358663431116\n ],\n [\n -119.7692183271959,\n 34.42243236962841\n ],\n [\n -119.84691794723162,\n 34.42243236962841\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"67","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-04-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":939109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":939110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tehranirad, Babak 0000-0002-1634-9165","orcid":"https://orcid.org/0000-0002-1634-9165","contributorId":299107,"corporation":false,"usgs":false,"family":"Tehranirad","given":"Babak","affiliations":[{"id":64774,"text":"contracted to USGS PCMSC","active":true,"usgs":false}],"preferred":false,"id":939111,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70270593,"text":"70270593 - 2025 - Two-stage models improve machine learning classifiers in wildlife research: A case study in identifying false positive detections of Ruffed Grouse","interactions":[],"lastModifiedDate":"2025-08-21T14:57:31.436416","indexId":"70270593","displayToPublicDate":"2025-04-30T07:46:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Two-stage models improve machine learning classifiers in wildlife research: A case study in identifying false positive detections of Ruffed Grouse","docAbstract":"Autonomous recording units are increasingly being used to monitor wildlife on large geographic and temporal scales, paired with machine learning (ML) to automate detection of wildlife. However, false positive detections from ML classifiers can result in erroneous ecological models that can lead to misguided management and conservation actions. We used a two-stage general approach to understand and reduce false positive detections, a technique in which outputs of the primary classification model are passed to a secondary classification model to yield the probability that a detection from the primary model is a true positive detection. This approach is demonstrated on two open-source models that detect Ruffed Grouse (Bonasa umbellus). We analyzed over 9500 h of acoustic data collected in 2022–2023 from the Green Mountain National Forest in Vermont, USA, and found the two models detected different types of acoustic signals associated with differing life history traits. The first model yielded 4106 detections (71.5 % true positives) while the second model yielded 524 detections (17.0 % true positives). Secondary logistic regression models separated true positives and false positives with high accuracy (84.5 % and 89.8 % respectively). Our findings go beyond improving Ruffed Grouse monitoring and conservation efforts to, more broadly, illustrate how two-stage ML approaches can improve the use of model-derived detections in wildlife research.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoinf.2025.103166","usgsCitation":"Clarfeld, L.A., Gieder, K.D., Abrams, R., Bernier, C., Cahill, J., Staats, S., Wixsom, S., and Donovan, T.M., 2025, Two-stage models improve machine learning classifiers in wildlife research: A case study in identifying false positive detections of Ruffed Grouse: Ecological Informatics, v. 89, 103166, 14 p., https://doi.org/10.1016/j.ecoinf.2025.103166.","productDescription":"103166, 14 p.","ipdsId":"IP-172423","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":494459,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoinf.2025.103166","text":"Publisher Index Page"},{"id":494382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Green Mountain National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.16516605268014,\n 43.209373047171994\n ],\n [\n -73.16516605268014,\n 42.88542467752458\n ],\n [\n -72.86267666610819,\n 42.88542467752458\n ],\n [\n -72.86267666610819,\n 43.209373047171994\n ],\n [\n -73.16516605268014,\n 43.209373047171994\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clarfeld, Laurence A.","contributorId":359990,"corporation":false,"usgs":false,"family":"Clarfeld","given":"Laurence","middleInitial":"A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":946634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gieder, Katherina D.","contributorId":359991,"corporation":false,"usgs":false,"family":"Gieder","given":"Katherina","middleInitial":"D.","affiliations":[{"id":39587,"text":"Vermont Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":946635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abrams, Robert","contributorId":359992,"corporation":false,"usgs":false,"family":"Abrams","given":"Robert","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":946636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernier, Christopher","contributorId":359993,"corporation":false,"usgs":false,"family":"Bernier","given":"Christopher","affiliations":[{"id":39587,"text":"Vermont Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":946637,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cahill, Joseph","contributorId":359994,"corporation":false,"usgs":false,"family":"Cahill","given":"Joseph","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":946638,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Staats, Susan","contributorId":359995,"corporation":false,"usgs":false,"family":"Staats","given":"Susan","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":946639,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wixsom, Scott","contributorId":359996,"corporation":false,"usgs":false,"family":"Wixsom","given":"Scott","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":946640,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":946641,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70266480,"text":"70266480 - 2025 - Exposure to ultraviolet radiation induces escape hatching of Cisco (Coregonus artedi) embryos","interactions":[],"lastModifiedDate":"2025-05-08T14:59:37.345953","indexId":"70266480","displayToPublicDate":"2025-04-29T09:42:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Exposure to ultraviolet radiation induces escape hatching of Cisco (Coregonus artedi) embryos","title":"Exposure to ultraviolet radiation induces escape hatching of Cisco (Coregonus artedi) embryos","docAbstract":"Context
The relationship between slope and terrestrial animal locomotion is key to landscape ecology but underexplored across species. This is partly due to a lack of scalable methodology that applies to a diversity of wildlife.
Objectives
This study investigates the slope-speed relationship for two species, Texas tortoise (Gopherus berlandieri) and pronghorn (Antilocapra americana), through the combined application of remote sensing, GPS tracking, behavior models, and parametric distribution. While using readily available Digital Elevation Models (DEM) for pronghorn, we explore the use of very high-resolution lidar Digital Terrain Models (DTM) from Unoccupied Aerial Systems (UAS) to characterize tortoise movements at micro-scales.
Methods
After classifying animal behavior with GPS tracking data and Hidden Markov Models (HMMs), we analyzed the relationship between the speed of the animals and the slope of the terrain using a 30-m DEM for pronghorn, and a fine-scale UAS DTM for Texas tortoise, and three nonlinear models: Laplace, Gauss, and Lorentz.
Results
High-resolution DTM, coupled with GPS tracking, accurately models the relationship of speed and slope at a micro-scale, while a DEM is suitable for a larger scale. Laplace models best predicted the speed of both the Texas tortoise and pronghorn. Models showed tortoises, which are not known for rapid and agile movement like the pronghorn, have a broader tolerance for varying slopes at a fine scale.
Conclusions
These findings enhance understanding of species-specific movement offering valuable insights for habitat management and conservation tailored to species’ behaviors and capabilities.
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A.","contributorId":354033,"corporation":false,"usgs":false,"family":"Guerra","given":"Daniel A.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":934986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":934981,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70266188,"text":"ofr20211030V - 2025 - System characterization report on Resourcesat-2A Advanced Wide Field Sensor","interactions":[{"subject":{"id":70266188,"text":"ofr20211030V - 2025 - System characterization report on Resourcesat-2A Advanced Wide Field Sensor","indexId":"ofr20211030V","publicationYear":"2025","noYear":false,"chapter":"V","displayTitle":"System Characterization Report on Resourcesat-2A Advanced Wide Field Sensor","title":"System characterization report on Resourcesat-2A Advanced Wide Field Sensor"},"predicate":"IS_PART_OF","object":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"id":1}],"isPartOf":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation 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These reports describe the methodology and procedures used for characterization, present technical and operational information about the specific sensing system being evaluated, and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.
Resourcesat-2A was launched in 2016 on the Polar Satellite Launch Vehicle-C36; it is identical to Resourcesat-2, and together, they decrease imaging revisit time from 5 days to 2–3 days, providing data continuity and improved temporal resolution. Resourcesat-2 and -2A carry the AWiFS, Linear Imaging Self Scanning-3, and Linear Imaging Self Scanning-4 medium-resolution imaging sensors, continuing the legacy of the Indian Space Research Organisation’s Indian Remote Sensing-1C/1D/P3 satellite programs. More information about Indian Space Research Organisation satellites and sensors is available through the Joint Agency Commercial Imagery Evaluation Earth Observing Satellites Online Compendium and from the Indian Space Research Organisation at https://www.isro.gov.in/.
The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team assessed the geometric, radiometric, and spatial performance of the Resourcesat-2A AWiFS sensor. Geometric performance is divided into the interior geometric performance of band-to-band registration and the exterior geometric performance of geolocation accuracy. The interior geometric performance had offsets in the range of −1.10 meters (m; −0.020 pixel) to 3.67 m (0.066 pixel) in easting and −5.68 m (−0.101 pixel) to 10.38 m (0.185 pixel) in northing with root mean square error values from 5.60 m (0.100 pixel) to 11.31 m (0.202 pixel) in easting and from 3.00 m (0.054 pixel) to 13.52 m (0.241 pixel) in northing.
The exterior geometric performance had mean offsets of −25.29 m in easting and 16.22 m northing with root mean square error values of 26.07 m in easting and 17.60 m in northing compared to the Landsat 8 Operational Land Imager sensor. The radiometric performance had offsets from −0.002 to 0.029 and slopes from 0.733 to 1.012. Spatial performance was in the range of 1.354 to 1.639 pixels for full width at half maximum with a modulation transfer function at a Nyquist frequency in the range of 0.108 to 0.174.
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U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Dryland ecosystems, covering 45% of the Earth's land and supporting over one-third of the global population, face significant threats from land degradation and ecological state change. Managing these ecosystems is complex, and science-based frameworks like Ecological Site Descriptions and state-and-transition models are essential tools for guiding decisions to support ecological health while maintaining stakeholder values such as grazing, wildlife, and recreation. However, alignment of these frameworks with smaller scale soil survey maps limits their applicability to broader ecological processes. Here, we extend these frameworks to larger landscapes with a machine learning approach that integrates large-scale, high-resolution vegetation data with identified ecological states from a data-driven state-and-transition model developed for a landscape-scale Ecological Site Group. A “global” model, which used combined inputs from multiple remotely sensed datasets, outperformed individual dataset models based on evaluation with independent data. Ecological state maps generated through this approach broaden the utility of state-and-transition models across Ecological Site Groups, providing a more spatially robust tool for land management at watershed and larger landscape scales. These methods, and the associated ecological state maps, can help meet critical needs for improved land condition assessments that support development of resource management plans and help identify priority areas for restoration and conservation.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70243","usgsCitation":"Kleist, N.J., Domschke, C.T., Knight, A.C., Nauman, T.W., Duniway, M.C., and Carter, S.K., 2025, Mapping predicted ecological states at landscape scales using remote sensing data and machine learning: Ecosphere, v. 16, no. 4, e70243, 16 p., https://doi.org/10.1002/ecs2.70243.","productDescription":"e70243, 16 p.","ipdsId":"IP-157413","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":496158,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70243","text":"Publisher Index Page"},{"id":496018,"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 -111.0509637142687,\n 42.64630716588371\n ],\n [\n -111.8266792759012,\n 39.96910670756075\n ],\n [\n -114.76249387460862,\n 35.930067724930424\n ],\n [\n -108.04708953433448,\n 35.58278337785393\n ],\n [\n -107.09257565522607,\n 37.663677272255455\n ],\n [\n -107.38346712125988,\n 40.56490356337224\n ],\n [\n -108.74500520215983,\n 41.22226787777939\n ],\n [\n -111.0509637142687,\n 42.64630716588371\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Kleist, Nathan J. 0000-0002-2468-4318","orcid":"https://orcid.org/0000-0002-2468-4318","contributorId":260598,"corporation":false,"usgs":true,"family":"Kleist","given":"Nathan","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":949335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Domschke, Christopher T.","contributorId":361734,"corporation":false,"usgs":false,"family":"Domschke","given":"Christopher","middleInitial":"T.","affiliations":[{"id":86338,"text":"Bureau of Land Management, Colorado State Office, 2850 Youngfield St., Lakewood, CO 80215","active":true,"usgs":false}],"preferred":false,"id":949336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Anna C. 0000-0002-9455-2855","orcid":"https://orcid.org/0000-0002-9455-2855","contributorId":255113,"corporation":false,"usgs":true,"family":"Knight","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nauman, Travis W.","contributorId":360619,"corporation":false,"usgs":false,"family":"Nauman","given":"Travis","middleInitial":"W.","affiliations":[{"id":86060,"text":"USDA Natural Resources Conservation Service, Soil and Plant Science Division, Moab, UT, USA","active":true,"usgs":false}],"preferred":false,"id":949338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":219284,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949339,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":949340,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70266300,"text":"70266300 - 2025 - Slow rupture, long rise times, and multi-fault geometry: The 2020 M6.4 southwestern Puerto Rico mainshock","interactions":[],"lastModifiedDate":"2025-05-02T15:13:47.284869","indexId":"70266300","displayToPublicDate":"2025-04-28T08:08:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Slow rupture, long rise times, and multi-fault geometry: The 2020 M6.4 southwestern Puerto Rico mainshock","docAbstract":"The M6.4 mainshock of the southwestern Puerto Rico seismic sequence on 7 January 2020, was one of the most impactful modern earthquakes in the northeastern Caribbean. Due to its offshore location and complex aftershock distribution, its source kinematics remain poorly constrained. This active sequence illuminated a complex set of previously unrecognized structures that indicate multiple causative faults may have slipped during its rupture. Here, we utilize seismic and geodetic observations to enhance model resolution, estimate the finite slip of the mainshock, and test a multi-segment, geologically realistic fault geometry. Our refined model finds a lower rupture velocity and longer rise times than typical for an event of this magnitude. This indicates a slow-evolving rupture process that resembles characteristics of a tsunami earthquake. Although this normal/strike-slip faulting event was not tsunamigenic, these qualities, if pervasive for this region, have important implications for future seismic monitoring and hazards in southwestern Puerto Rico.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL109740","usgsCitation":"Solares-Colón, M., Goldberg, D.E., Melgar, D., Vanacore, E.A., Sahakian, V., Yeck, W.L., Hernández, F., and Lopez-Venegas, A., 2025, Slow rupture, long rise times, and multi-fault geometry: The 2020 M6.4 southwestern Puerto Rico mainshock: Geophysical Research Letters, v. 52, no. 8, e2024GL109740, 12 p., https://doi.org/10.1029/2024GL109740.","productDescription":"e2024GL109740, 12 p.","ipdsId":"IP-170544","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":487926,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl109740","text":"Publisher Index Page"},{"id":485330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.39442494689831,\n 18.578883979264447\n ],\n [\n -67.39442494689831,\n 17.849447857579676\n ],\n [\n -65.47820852132409,\n 17.849447857579676\n ],\n [\n -65.47820852132409,\n 18.578883979264447\n ],\n [\n -67.39442494689831,\n 18.578883979264447\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Solares-Colón, Margarita M. 0000-0002-9387-7551","orcid":"https://orcid.org/0000-0002-9387-7551","contributorId":353919,"corporation":false,"usgs":false,"family":"Solares-Colón","given":"Margarita M.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":935442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldberg, Dara Elyse 0000-0002-0923-3180","orcid":"https://orcid.org/0000-0002-0923-3180","contributorId":289891,"corporation":false,"usgs":true,"family":"Goldberg","given":"Dara","email":"","middleInitial":"Elyse","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":935443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Melgar, Diego","contributorId":341315,"corporation":false,"usgs":false,"family":"Melgar","given":"Diego","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":935444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanacore, Elizabeth A.","contributorId":316311,"corporation":false,"usgs":false,"family":"Vanacore","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":62735,"text":"University of Puerto Rico Mayagüez","active":true,"usgs":false}],"preferred":false,"id":935445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sahakian, Valerie J.","contributorId":208097,"corporation":false,"usgs":false,"family":"Sahakian","given":"Valerie J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":935446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":935447,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hernández, Francisco","contributorId":353921,"corporation":false,"usgs":false,"family":"Hernández","given":"Francisco","affiliations":[{"id":62735,"text":"University of Puerto Rico Mayagüez","active":true,"usgs":false}],"preferred":false,"id":935448,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lopez-Venegas, Alberto 0000-0002-3413-0546","orcid":"https://orcid.org/0000-0002-3413-0546","contributorId":350939,"corporation":false,"usgs":false,"family":"Lopez-Venegas","given":"Alberto","affiliations":[{"id":34129,"text":"University of Puerto Rico Mayaguez","active":true,"usgs":false}],"preferred":false,"id":935449,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70269031,"text":"70269031 - 2025 - Advancing broadscale spatial evapotranspiration modelling by incorporating sun-induced chlorophyll fluorescence measurements","interactions":[],"lastModifiedDate":"2025-07-14T14:48:30.146948","indexId":"70269031","displayToPublicDate":"2025-04-28T07:43:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Advancing broadscale spatial evapotranspiration modelling by incorporating sun-induced chlorophyll fluorescence measurements","docAbstract":"Evapotranspiration (ET) describes the sum of water transfer from the ground surface through soil evaporation and water loss from leaf stomata into the atmosphere − critical factors linking the global water and carbon cycles. Myriad ET models based on remote sensing data provide spatially continuous estimates of ET; however, leaf photosynthetic information is critical to ensure accurate ET estimates, which are difficult to measure from space. Remotely sensed sun-induced chlorophyll fluorescence (SIF) provides a proxy of stomatal conductance activity with high performance in predicting plant transpiration, which can account for a large proportion of terrestrial and riverine ET. This study aims to improve estimates of tree water use in semi-arid to arid environments. In this study, a fixed stomatal conductance model and three SIF-driven canopy conductance (gsc) models were applied to model potential ET (PET). The models estimated PET using the Penman-Monteith equation with: (1) a constant leaf stomatal conductance; (2) a transpiration-driven gsc model; (3) a gsc model based on electron-transfer rate and vapor pressure deficit, and a (4) Ball-Berry stomatal conductance model. A machine learning model was then applied to scale PET to actual ET (AET) using remote sensing and climate data. Accordingly, four AET models were cross-validated with in-situ measured AET at 52 sites, including 21 eddy covariance flux tower sites, and 31 sap-flow measurement sites (semi-arid and plantation area), for various plant functional types in Australia. This study demonstrated that SIF effectively captured seasonal variations of gsc, finding that AET models with SIF-driven gsc models correlated well with in-situ measured AET (R2 = 0.64). Modelled AET with dynamic variations of gsc generated lower prediction error (0.85 mm day−1), while the AET model with fixed stomatal conductance tended to overestimate AET in floodplains and underestimate it in evergreen broadleaf forests, indicating using fixed stomatal conductance results in unstable performance when modelling AET. This study demonstrated that SIF-driven AET models improved broadscale estimation of ET. Our findings provide vital broadscale hydrological data to assist catchment and regional water management, particularly over unmonitored areas at risk of future climate-driven reductions in rainfall.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2025.133404","usgsCitation":"Gao, S., Nagler, P.L., Woodgate, W., Huete, A., and Doody, T.M., 2025, Advancing broadscale spatial evapotranspiration modelling by incorporating sun-induced chlorophyll fluorescence measurements: Journal of Hydrology, v. 660, no. Part B, 133404, 16 p., https://doi.org/10.1016/j.jhydrol.2025.133404.","productDescription":"133404, 16 p.","ipdsId":"IP-172126","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":499843,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2025.133404","text":"Publisher Index Page"},{"id":492203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 123.28690979572599,\n -14.507783026538078\n ],\n [\n 113.28039887008524,\n -21.66065633263682\n ],\n [\n 112.17079996753354,\n -24.994521175001637\n ],\n [\n 115.10354300417447,\n -36.486501164702105\n ],\n [\n 122.24168422144697,\n -35.62034073401294\n ],\n [\n 131.93124828895753,\n -32.58906983701101\n ],\n [\n 141.10544225154464,\n -40.23302031896691\n ],\n [\n 152.81278701443853,\n -40.33448456027517\n ],\n [\n 155.92719705356842,\n -24.451431761649573\n ],\n [\n 144.11359477726128,\n -8.385497835754798\n ],\n [\n 130.88500806969773,\n -10.415819254694402\n ],\n [\n 123.28690979572599,\n -14.507783026538078\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"660","issue":"Part B","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gao, Sicong","contributorId":303040,"corporation":false,"usgs":false,"family":"Gao","given":"Sicong","email":"","affiliations":[{"id":65623,"text":"CSIRO, Land and Water, Waite Campus, Adelaide, South Australia, Australia; University of Canberra, Canberra, Australian Capital Territory, Australia","active":true,"usgs":false}],"preferred":false,"id":942957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":942958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodgate, William","contributorId":357983,"corporation":false,"usgs":false,"family":"Woodgate","given":"William","affiliations":[{"id":85572,"text":"Earth Observation Research Centre, School of the Environment, The University of Queensland, Brisbane, QLD 4072, Australia; CSIRO, Space and Astronomy, Kensington, 6151, WA, Australia","active":true,"usgs":false}],"preferred":false,"id":942959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huete, Alfredo 0000-0003-2809-2376","orcid":"https://orcid.org/0000-0003-2809-2376","contributorId":208294,"corporation":false,"usgs":false,"family":"Huete","given":"Alfredo","email":"","affiliations":[],"preferred":false,"id":942960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doody, Tanya M.","contributorId":138691,"corporation":false,"usgs":false,"family":"Doody","given":"Tanya","email":"","middleInitial":"M.","affiliations":[{"id":12494,"text":"CSIRO Land and Water, Australia","active":true,"usgs":false}],"preferred":false,"id":942961,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}