Wild waterfowl are considered to be the reservoir of avian influenza, but their distinct annual life cycle stages and their contribution to disease dynamics are not well understood. Studies of the highly pathogenic avian influenza (HPAI) virus have primarily focused on wintering grounds, where human and poultry densities are high year-round, compared with breeding grounds, where migratory waterfowl are more isolated. Few if any studies of avian influenza have focused on the molting stage where wild waterfowl congregate in a few selected wetlands and undergo the simultaneous molt of wing and tail feathers during a vulnerable flightless period. The molting stage may be one of the most important periods for the perpetuation of the disease in waterfowl, since during this stage, immunologically naïve young birds and adults freely intermix prior to the fall migration. Our study incorporated empirical data from virological field samplings and markings of Swan Geese (Anser cygnoides) on their breeding grounds in Mongolia in an integrated agent-based model (ABM) that included susceptible–exposed–infectious–recovered (SEIR) states. Our ABM results provided unique insights and indicated that individual movements between different molting wetlands and the transmission rate were the key predictors of HPAI perpetuation. While wetland extent was not a significant predictor of HPAI perpetuation, it had a large effect on the number of infections and associated death toll. Our results indicate that conserving undisturbed habitats for wild waterfowl during the molting stage of the breeding season could reduce the risk of HPAI transmission.
","language":"English","publisher":"MDPI","doi":"10.3390/v17020196","usgsCitation":"Takekawa, J., Choi, C., Prosser, D.J., Sullivan, J.D., Batbayar, N., and Xiao, X., 2025, Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach: Viruses, v. 17, no. 2, 196, 20 p., https://doi.org/10.3390/v17020196.","productDescription":"196, 20 p.","ipdsId":"IP-171183","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":487618,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v17020196","text":"Publisher Index Page"},{"id":481653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mongolia, Russia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 114.5,\n 50.33\n ],\n [\n 114.5,\n 49.25\n ],\n [\n 116,\n 49.25\n ],\n [\n 116,\n 50.33\n ],\n [\n 114.5,\n 50.33\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Takekawa, John","contributorId":330942,"corporation":false,"usgs":false,"family":"Takekawa","given":"John","affiliations":[{"id":32931,"text":"USGS - Retired","active":true,"usgs":false}],"preferred":false,"id":926134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Chang-Yong","contributorId":181784,"corporation":false,"usgs":false,"family":"Choi","given":"Chang-Yong","email":"","affiliations":[],"preferred":false,"id":926135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prosser, Diann J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":926137,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Batbayar, Nyambaya","contributorId":181791,"corporation":false,"usgs":false,"family":"Batbayar","given":"Nyambaya","affiliations":[],"preferred":false,"id":926138,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xiao, Xiangming","contributorId":181792,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiangming","email":"","affiliations":[],"preferred":false,"id":926139,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262871,"text":"70262871 - 2025 - Maintenance of genetic diversity despite population fluctuations in the lesser prairie-chicken (Tympanuchus pallidicinctus)","interactions":[],"lastModifiedDate":"2025-01-27T15:08:54.1809","indexId":"70262871","displayToPublicDate":"2025-01-23T08:01:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Maintenance of genetic diversity despite population fluctuations in the lesser prairie-chicken (Tympanuchus pallidicinctus)","docAbstract":"Assessments of genetic diversity, structure, history, and effective population size (N e) are critical for the conservation of imperiled populations. The lesser prairie-chicken (Tympanuchus pallidicinctus) has experienced declines due to habitat loss, degradation, and fragmentation in addition to substantial population fluctuations with unknown effects on genetic diversity. Our objectives were to: (i) compare genetic diversity across three temporally discrete sampling periods (2002, 2007-2010, and 2013-2014) that are characterized by low or high population abundance; (ii) examine genetic diversity at lek and lek cluster spatial scales; (ii) identify potential bottlenecks and characterize genetic structure and relatedness; and (iii) estimate the regional N e. We analyzed 194 samples across the shinnery oak prairie region of eastern New Mexico and western Texas using 13 microsatellite loci. Mean heterozygosity, allelic richness, and inbreeding coefficient were not significantly different between discrete sampling periods, suggesting that this population has maintained its genetic diversity across the sampled population fluctuations. We did not detect genetic structure using multiple Bayesian clustering approaches. Furthermore, there was no support for recent genetic bottlenecks, and we estimated that the N e ranged from 229.5 (p crit = 0.05, 95% CIs = 121.2-1023.1) to 349.1 (p crit = 0.02, 95% CIs = 176.4-2895.2) during our final sampling period (2013-2014). Although we provide evidence for gene flow within this region, continued habitat loss and fragmentation that leads to population declines and isolation could increase the risk of genetic consequences. Continued monitoring of genetic diversity and increasing available habitat that supports robust populations of lesser prairie-chickens may improve the likelihood of the species' persistence.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70879","usgsCitation":"Lawrence, A.J., Carleton, S., Oyler-McCance, S.J., DeYoung, R.W., Nichols, C.T., and Wright, T., 2025, Maintenance of genetic diversity despite population fluctuations in the lesser prairie-chicken (Tympanuchus pallidicinctus): Ecology and Evolution, v. 15, no. 1, e70879, 15 p., https://doi.org/10.1002/ece3.70879.","productDescription":"e70879, 15 p.","ipdsId":"IP-161495","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70879","text":"Publisher Index Page"},{"id":481258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Texas","county":"Bailey County, Chaves County, Cochran County, Lea County, Roosevelt County, Yoakum 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Andrew J.","contributorId":198549,"corporation":false,"usgs":false,"family":"Lawrence","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":925085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carleton, Scott A.","contributorId":264590,"corporation":false,"usgs":false,"family":"Carleton","given":"Scott A.","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":925086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":925087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeYoung, Randy W.","contributorId":342699,"corporation":false,"usgs":false,"family":"DeYoung","given":"Randy","email":"","middleInitial":"W.","affiliations":[{"id":81913,"text":"Texas A&M University - Kingsville","active":true,"usgs":false}],"preferred":false,"id":925088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, Clay T.","contributorId":193024,"corporation":false,"usgs":false,"family":"Nichols","given":"Clay","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":925089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wright, Timothy F.","contributorId":349891,"corporation":false,"usgs":false,"family":"Wright","given":"Timothy F.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":925090,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70264607,"text":"70264607 - 2025 - Recovering the American horseshoe crab through a commitment to collaboration","interactions":[],"lastModifiedDate":"2025-06-23T15:19:10.816449","indexId":"70264607","displayToPublicDate":"2025-01-22T07:53:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Recovering the American horseshoe crab through a commitment to collaboration","docAbstract":"American horseshoe crab Limulus polyphemus populations are recovering because of cooperation among diverse stakeholders and data-driven collective action. Limulus polyphemus is one of four extant species facing common threats, and conservation successes and limitations hold lessons applicable to all the species. We review the advancement in management and monitoring over recent decades, discuss the current population status throughout the species’ range, and describe the potential future status and recovery based on recent assessments. In retrospect, L. polyphemus conservation has followed the frameworks promoted by the International Union for the Conservation of Nature: mobilize networks to increase assessment capacity, engage diverse stakeholders, measure impacts, and amplify successes. Data show significantly increased populations in the Delaware Bay region and improved status in the Northeast. The average abundance of adults in Delaware Bay over the recent decade (2013–2022) is more than twice that in the previous decade (2003–2012). In 2022, the abundances for adult females and males in the Delaware Bay population were estimated to be 16 million and 40 million, respectively. However, reversing persistent poor conditions in some regions and mitigating the widespread threat of habitat loss from coastal development and sea level rise will rely on collaboration among diverse stakeholders to build upon the current conservation successes. Scientists and conservationists working on the horseshoe crab species indigenous to Asia are advancing along a similar track, establishing a monitoring network and mobilizing diverse stakeholders. However, there is a need for capacity building for robust assessment of the species in Asia to measure the impact of conservation, just as that need remains unmet for L. polyphemus in the Gulf of Mexico. The importance of partnerships and collaborations is apparent in their absence. The regions where partnerships and collaborations among researchers, conservationists, and agency scientists do not exist are those where the capacity for monitoring and assessment is notably lacking.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/fshmag/vuae021","usgsCitation":"Smith, D.R., Botton, M., and Shin, P., 2025, Recovering the American horseshoe crab through a commitment to collaboration: Fisheries, v. 50, no. 6, p. 255-267, https://doi.org/10.1093/fshmag/vuae021.","productDescription":"13 p.","startPage":"255","endPage":"267","ipdsId":"IP-168316","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":483452,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.4111673628184,\n 45.59557363731551\n ],\n [\n -72.79604028478602,\n 43.2885548171144\n ],\n [\n -79.18376394472423,\n 33.98021634745319\n ],\n [\n -87.16366759369707,\n 30.59299121506301\n ],\n [\n -91.00483741761445,\n 19.98230416811475\n ],\n [\n -86.10209271501805,\n 20.250947939742574\n ],\n [\n -86.48390972813229,\n 21.472770822927\n ],\n [\n -80.01996169377958,\n 25.202938179984592\n ],\n [\n -66.81672247791515,\n 44.529009105659156\n ],\n [\n -68.4111673628184,\n 45.59557363731551\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":930940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Botton, Mark","contributorId":352360,"corporation":false,"usgs":false,"family":"Botton","given":"Mark","affiliations":[{"id":84189,"text":"Fordham University","active":true,"usgs":false}],"preferred":false,"id":930941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shin, Paul","contributorId":352361,"corporation":false,"usgs":false,"family":"Shin","given":"Paul","affiliations":[{"id":84190,"text":"University of Hong Kong,","active":true,"usgs":false}],"preferred":false,"id":930942,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70265968,"text":"70265968 - 2025 - Multiple dimensions define thresholds for population resilience of the eastern oyster, Crassostrea virginica","interactions":[],"lastModifiedDate":"2025-04-22T17:57:05.14167","indexId":"70265968","displayToPublicDate":"2025-01-21T12:51:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Multiple dimensions define thresholds for population resilience of the eastern oyster, Crassostrea virginica","title":"Multiple dimensions define thresholds for population resilience of the eastern oyster, Crassostrea virginica","docAbstract":"A species' distribution depends on its tolerance to environmental conditions. These conditions are defined by a minimum, maximum, and optimal ranges of single and combined factors. Forays into environmental conditions outside the minimum or maximum tolerance of a species (i.e., thresholds) are predicted to have large effects on a species' population and may help predict population resilience in the face of changing conditions. Here, we explore ecological thresholds for an important fisheries species and ecosystem engineer, Crassostrea virginica (eastern oyster). In coastal Louisiana, extreme freshwater inputs from rivers and precipitation events impact estuarine salinity, which is a key driver of oyster population dynamics. Using daily salinity and monthly oyster abundance monitoring data across Louisiana estuaries, we explore low salinity exposure threshold levels for oysters. Two statistical approaches were applied, with each model highlighting a different operational definition of a threshold: random forest models identified a threshold as an abrupt change in the oyster abundance- salinity relationship, while Bayesian models identified an increased probability of oyster abundance dropping below a critical threshold, defined here as less than 50% of the 5-year mean. All model results indicate oysters in coastal Louisiana experience low salinity exposure thresholds, defined as the number of consecutive summer days of salinity levels less than 5. However, actual number of days and salinity threshold differed by statistical approach, oyster life stage, and estuary highlighting the multiple dimensions defining ecological thresholds. While thresholds are considered important benchmarks to inform management and assess population or ecosystem vulnerability, our results reveal the need to carefully relate threshold definition to management goals and to acknowledge that thresholds may be highly context dependent.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70759","usgsCitation":"La Peyre, M., Wang, H., Sable, S.E., Wu, W., Li, B., Comba, D., Perez, C., Bates, M., and Swam, L.M., 2025, Multiple dimensions define thresholds for population resilience of the eastern oyster, Crassostrea virginica: Ecology and Evolution, v. 15, no. 1, e70759, 17 p., https://doi.org/10.1002/ece3.70759.","productDescription":"e70759, 17 p.","ipdsId":"IP-166145","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488493,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70759","text":"Publisher Index Page"},{"id":484861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.11822914557477,\n 30.785757926614025\n ],\n [\n -93.93935746486115,\n 30.785757926614025\n ],\n [\n -93.93935746486115,\n 28.547047787509243\n ],\n [\n -89.11822914557477,\n 28.547047787509243\n ],\n [\n -89.11822914557477,\n 30.785757926614025\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, H. 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":205508,"corporation":false,"usgs":true,"family":"Wang","given":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":934188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sable, Shaye E.","contributorId":257728,"corporation":false,"usgs":false,"family":"Sable","given":"Shaye","email":"","middleInitial":"E.","affiliations":[{"id":52096,"text":"Dynamic Solutions, LLC","active":true,"usgs":false}],"preferred":false,"id":934189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Wei","contributorId":353629,"corporation":false,"usgs":false,"family":"Wu","given":"Wei","affiliations":[{"id":12460,"text":"The University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":934190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Bin","contributorId":47684,"corporation":false,"usgs":true,"family":"Li","given":"Bin","email":"","affiliations":[],"preferred":false,"id":934191,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Comba, Devin","contributorId":335897,"corporation":false,"usgs":false,"family":"Comba","given":"Devin","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":934192,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perez, Carlos","contributorId":353654,"corporation":false,"usgs":false,"family":"Perez","given":"Carlos","affiliations":[],"preferred":false,"id":934193,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bates, Melanie","contributorId":353630,"corporation":false,"usgs":false,"family":"Bates","given":"Melanie","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":934194,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Swam, Lauren M.","contributorId":341585,"corporation":false,"usgs":false,"family":"Swam","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":934195,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70264830,"text":"70264830 - 2025 - Timing of and pressure-temperature constraints on deformation in the Toxaway dome, eastern Blue Ridge: Evidence for continuous deformation from the Neoacadian orogeny to the Alleghanian orogeny","interactions":[],"lastModifiedDate":"2025-03-26T15:44:33.595629","indexId":"70264830","displayToPublicDate":"2025-01-17T10:31:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Timing of and pressure-temperature constraints on deformation in the Toxaway dome, eastern Blue Ridge: Evidence for continuous deformation from the Neoacadian orogeny to the Alleghanian orogeny","docAbstract":"Many mountain belts are built through repeated collision, and in the case of orogenies closely spaced in time, determining when one orogeny ends and another begins can be challenging. The southern Appalachian mountains were formed by three mountain-building events closely spaced in time, including the Taconic (ca. 480–440 Ma), Neoacadian (ca. 375–340 Ma), and Alleghanian (ca. 330–265 Ma) orogenies. Notably, the end of the Neoacadian and the beginning of the Alleghanian are only separated by ~10 m.y., and some published dates record deformation and metamorphism in the eastern Blue Ridge during this interval, blurring the boundary between these two discrete events.
The Toxaway dome, located along the North Carolina–South Carolina, USA, border at the eastern edge of the eastern Blue Ridge, is a structural dome cored by Mesoproterozoic Toxaway Gneiss and surrounded by the younger Tallulah Falls Formation. Previous ages constraints from the Toxaway dome (343 and 338 Ma U-Pb zircon ages) make it an ideal location to explore whether there was continuous deformation during this period of supposed quiescence between the Neoacadian and Alleghanian orogenies. We used optical microscopy and electron backscatter diffraction in quartz to determine deformation temperatures, thermobarometry to determine metamorphic pressure-temperature conditions, and monazite petrochronology to determine the timing of deformation. Quartz and feldspar recrystallization fabrics parallel to dome-defining fabrics indicate deformation occurred at amphibolite-facies conditions, which is corroborated by our pressure-temperature estimates of 0.67–0.8 ± 0.12 GPa and 661–689 ± 25 °C. Monazite grains that record the timing of reactions of garnet growth and breakdown range from 342 ± 4.8 Ma to 296 ± 10.8 Ma, bridging the interval between the Neoacadian and Alleghanian orogenies. Three samples from the nearby Tallulah Falls dome, which occupies a similar structural position along the edge of the eastern Blue Ridge in Georgia, record monazite dates of 334 ± 4.2 Ma to 304 ± 4.8 Ma, indicating there was tectonic activity in this region before the commonly defined beginning of the Alleghanian orogeny. We propose (1) there was no period of quiescence between the Neoacadian and Alleghanian orogenies in the eastern Blue Ridge, and (2) deformation during this time was at higher temperatures and pressures than previously reported.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02802.1","usgsCitation":"Levine, J., Powell, N.E., Casale, G., and Martin, C., 2025, Timing of and pressure-temperature constraints on deformation in the Toxaway dome, eastern Blue Ridge: Evidence for continuous deformation from the Neoacadian orogeny to the Alleghanian orogeny: Geosphere, v. 21, no. 2, p. 179-205, https://doi.org/10.1130/GES02802.1.","productDescription":"27 p.","startPage":"179","endPage":"205","ipdsId":"IP-166597","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":488667,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02802.1","text":"Publisher Index Page"},{"id":483881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","otherGeospatial":"Tallulah Fault Dome, Toxaway Dome","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.12768324273705,\n 36.09919315340798\n ],\n [\n -84.53940674334677,\n 36.09919315340798\n ],\n [\n -84.53940674334677,\n 33.93940700100836\n ],\n [\n -82.12768324273705,\n 33.93940700100836\n ],\n [\n -82.12768324273705,\n 36.09919315340798\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Levine, Jamie S.F. 0000-0003-4100-6428","orcid":"https://orcid.org/0000-0003-4100-6428","contributorId":352688,"corporation":false,"usgs":false,"family":"Levine","given":"Jamie S.F.","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":932007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Nicholas Edwin 0000-0003-3654-8759","orcid":"https://orcid.org/0000-0003-3654-8759","contributorId":304622,"corporation":false,"usgs":true,"family":"Powell","given":"Nicholas","email":"","middleInitial":"Edwin","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":932008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casale, Gabriele 0000-0003-1371-753X","orcid":"https://orcid.org/0000-0003-1371-753X","contributorId":192726,"corporation":false,"usgs":false,"family":"Casale","given":"Gabriele","email":"","affiliations":[{"id":27675,"text":"Appalachian State University, Boone, NC","active":true,"usgs":false}],"preferred":false,"id":932009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Claire P. 0000-0001-8813-5070","orcid":"https://orcid.org/0000-0001-8813-5070","contributorId":352689,"corporation":false,"usgs":false,"family":"Martin","given":"Claire P.","affiliations":[{"id":84283,"text":"StraboSpot, Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":932010,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70264116,"text":"70264116 - 2025 - New 40Ar/39Ar eruption ages reveal an important temporal relationship between mafic and silicic volcanism in the Yellowstone Plateau volcanic field","interactions":[],"lastModifiedDate":"2025-04-17T15:34:45.630531","indexId":"70264116","displayToPublicDate":"2025-01-17T09:50:38","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}},"displayTitle":"New 40Ar/39Ar eruption ages reveal an important temporal relationship between mafic and silicic volcanism in the Yellowstone Plateau volcanic field","title":"New 40Ar/39Ar eruption ages reveal an important temporal relationship between mafic and silicic volcanism in the Yellowstone Plateau volcanic field","docAbstract":"The chronology of mafic eruptions and their temporal relation to rhyolitic volcanism in the Yellowstone Plateau volcanic field are poorly known, thereby limiting our understanding of the way(s) in which mafic magmatism drives rhyolitic activity. To address this, we measured 40Ar/39Ar eruption ages on 13 mafic samples collected from Henrys Fork Caldera (eastern Idaho, western United States), which represents a region of known volcanic activity immediately west of Yellowstone caldera for which the relationship to Yellowstone volcano’s most recent caldera-forming cycle remains unclear. Our new ages indicate that mafic activity was occurring throughout the Henrys Fork Caldera both leading up to and following the emplacement of the Lava Creek Tuff. Furthermore, these ages reveal that mafic volcanism in the Henrys Fork Caldera region occurred concurrently with second- and third-cycle rhyolite volcanism in and around Yellowstone caldera. Our new ages therefore provide unique and definitive evidence that the mafic magmatism of Henrys Fork Caldera played a critical role in the development of shallow-crustal rhyolitic magma chambers that ultimately fueled the large caldera-forming eruptions within the Yellowstone volcanic system.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G52709.1","usgsCitation":"Messa, C., Sims, K., Stelten, M.E., Lawler, B., and Kuntz, M., 2025, New 40Ar/39Ar eruption ages reveal an important temporal relationship between mafic and silicic volcanism in the Yellowstone Plateau volcanic field: Geology, v. 53, no. 4, p. 317-322, https://doi.org/10.1130/G52709.1.","productDescription":"6 p.","startPage":"317","endPage":"322","ipdsId":"IP-165883","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":482974,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Henry's Fork Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.1667,\n 44.5\n ],\n [\n -111.8333,\n 44.5\n ],\n [\n -111.8333,\n 44 \n ],\n [\n -111.1667,\n 44\n ],\n [\n -111.1667,\n 44.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"53","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Messa, Cole","contributorId":351999,"corporation":false,"usgs":false,"family":"Messa","given":"Cole","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":929874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sims, Kenneth 0000-0001-6179-6610","orcid":"https://orcid.org/0000-0001-6179-6610","contributorId":352001,"corporation":false,"usgs":false,"family":"Sims","given":"Kenneth","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":929875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":929876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawler, Brandi","contributorId":352004,"corporation":false,"usgs":false,"family":"Lawler","given":"Brandi","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":929877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuntz, Mel","contributorId":352007,"corporation":false,"usgs":false,"family":"Kuntz","given":"Mel","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":929878,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262403,"text":"pp1900 - 2025 - Prospectivity mapping for geologic hydrogen","interactions":[],"lastModifiedDate":"2025-07-10T15:49:15.032401","indexId":"pp1900","displayToPublicDate":"2025-01-16T15:45:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1900","displayTitle":"Prospectivity Mapping for Geologic Hydrogen","title":"Prospectivity mapping for geologic hydrogen","docAbstract":"Geologic, or naturally occurring, hydrogen has the potential to become a new, low-carbon, primary energy resource. Often referred to as “white” or “gold” hydrogen, this gas occurs naturally in the Earth’s subsurface, similar to petroleum resources. However, unlike petroleum, which releases carbon dioxide when burned, burning hydrogen only produces water as a byproduct. Exploration for geologic hydrogen remains in an early stage and discoveries of high concentrations of subsurface hydrogen are still relatively rare. To facilitate research and exploration for this potential resource, this report presents the first publicly available prospectivity map of geologic hydrogen accumulations in the conterminous United States. Prospective regions are those regions in which all major components necessary for a hydrogen accumulation likely are present—a source of sufficient hydrogen generation, porous reservoirs for storage, and seals to prevent leakage. The midcontinent region of the United States and the central California coast are revealed as having high prospectivity. This analysis also identifies previously unrecognized prospective regions that may be favorable due to long distance lateral migration of subsurface hydrogen, such as the offshore eastern seaboard of the United States, and can provide a linkage between surface observations of hydrogen degassing and far-field source regions. The methodology developed to create this map is expandable and flexible and may be adapted to incorporate new concepts in the hydrogen system and for application to other regions of the world.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/pp1900","programNote":"Energy Resources Program","usgsCitation":"Gelman, S.E., Hearon, J.S., and Ellis, G.S., 2025, Prospectivity mapping for geologic hydrogen (ver. 1.2, January 22,\n2025): U.S. Geological Survey Professional Paper 1900, 43 p., https://doi.org/10.3133/pp1900.","productDescription":"Report: iv, 43 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-171159","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":480750,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1900/versionHist.txt","size":"8.00 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1900 version history"},{"id":466906,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://certmapper.cr.usgs.gov/data/apps/hydrogen","text":"Interactive web application for geologic 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U.S. Geological Survey
Box 25046, Mail Stop 939
Denver, CO 80225
Withdrawals of water for human use are fundamental to the evaluation of the Nation’s water availability. This chapter provides an analysis of public supply, crop irrigation, and thermoelectric power water use for the conterminous United States (CONUS) during water years 2010–20. These three categories account for about 90 percent of water withdrawals in the Nation. The values presented here are based on modeling approaches that estimate water use at temporal (monthly) and spatial scales (12-digit hydrologic unit code—small watersheds sized 50–100 square kilometers) compatible for integration into a broader national assessment of water availability. Models also provide an understanding of factors that influence water use.
An estimated 244,817 million gallons per day (Mgal/d; 28,677 million cubic meters per month [Mm3/mo]) were withdrawn on average within the CONUS during water years 2010–20 from fresh water and saline water for crop irrigation, public supply, and thermoelectric power, with shares of 43, 14.5, and 42.5 percent for each of these categories, respectively. In the same period, estimated withdrawals and consumptive use (1) for public supply were 35,400 and 4,219 Mgal/d (4,081 and 486 Mm3/mo), respectively; (2) for crop irrigation were 105,497 and 75,698 Mgal/d (12,147 and 8,716 Mm3/mo), respectively; and (3) for thermoelectric power from fresh water were 82,656 and 2,904 Mgal/d (9,952 and 345 Mm3/mo), respectively.
Withdrawals for these categories of water use are highly spatially variable, with western States dominated by crop irrigation and eastern States dominated by thermoelectric-power water use. Public supply accounts for the largest percentage of water use in several heavily populated northeastern States. Reliance on groundwater compared to surface water depends on the availability of water sources and the type of water use. For public supply, withdrawals from groundwater are greater than withdrawals from surface water in the Western aggregated hydrologic regions, whereas the balance shifts to more surface water for the rest of the CONUS. In all aggregated hydrologic regions, the predominant source of water for crop irrigation is groundwater. Most thermoelectric power facilities in the eastern half of the CONUS use surface water from freshwater and saline sources; most thermoelectric power facilities in the western half of the CONUS use groundwater.
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Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, Virginia 20192
Contact Integrated Water Availability Assessment Team
","tableOfContents":"The north-northwest-striking Madison fault is approximately 95 kilometers in length, lying at the confluence of the northeastern Basin and Range province and the Yellowstone tectonic parabola. The fault zone consists primarily of west-dipping normal faults that have east-dipping antithetic faults, which create the Madison Valley graben and several northeast-trending intrabasin faults. The Madison fault and associated sections discussed herein refer to the main west-dipping, range-bounding fault along the eastern side of the valley. Detailed geologic mapping (1:12,000 scale) of the entire fault zone and fault scarp profiling (total of 102 profiles) of the Madison fault reveal greater late Quaternary paleoseismic activity towards the south, including at least three paleoevents along the southern part of the fault that postdate Pinedale glaciation. Early to middle Holocene alluvial fans have vertical surface offsets that average between 2.0 and 3.0 meters and define the characteristic single-event surface offset. Pinedale lateral moraines have vertical surface offsets as great as 12.0 meters. Late Pleistocene to Holocene multiple-event fault scarps show little evidence of beveling, suggesting short seismic recurrence intervals and potential late Pleistocene and Holocene temporal clustering. Long-term average tectonic activity rates indicate slip rates ranging from 0.18–0.6 millimeters per year. Based on a comparison of fault-scarp height versus maximum slope angle of known regression lines developed from other paleoseismic investigations, the most recent event ranges from 5–1 ka.
The northern section of the fault zone is defined by multiple normal faults, which detached the hanging walls of Laramide thrust faults within the Paleozoic and Mesozoic strata. This resulted in the partitioning of extension along multiple preexisting structures and less displacement along individual normal fault strands. Structural controls on lateral propagation of individual paleoevents involve the position of lateral ramps along preexisting Laramide contractional faults. This resulted in greater displacement within the larger basement-cored structures along the southern section of the fault zone, where extension is accommodated by one inferred principal basement-involved normal fault. Inferred east-northeast trending, intrabasin, normal faults within the southern half of the fault zone have no late Pleistocene displacement.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sim3508","programNote":"National Cooperative Geologic Mapping Program","usgsCitation":"Ruleman, C.A., and Brandt, T.R., 2025, Surficial geology and Quaternary tectonics of the Madison Valley and fault zone, Madison, Gallatin, and Beaverhead Counties, southwest Montana: U.S. Geological Survey Scientific Investigations Map 3508, 1 sheet, scale 1:50,000, 45-p. pamphlet, https://doi.org/10.3133/sim3508.","productDescription":"Report: viii, 43 p.; 2 Sheets: 31.40 x 70.84 inches ; Data Release","onlineOnly":"Y","ipdsId":"IP-041748","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":492022,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118303.htm","linkFileType":{"id":5,"text":"html"}},{"id":466446,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sim/3508/sim3508.xml"},{"id":466445,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3508/images"},{"id":466343,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EENEI7","text":"USGS data release","linkHelpText":"Data Release for Surficial Geology and Quaternary Tectonics of the Madison Valley and Fault Zone, Madison, Gallatin, and Beaverhead Counties, southwest Montana"},{"id":466325,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3508/coverthb.jpg"},{"id":466326,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3508/sim3508_pamphlet.pdf","text":"Pamphlet","size":"78.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3508 pamphlet"},{"id":466341,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3508/sim3508_sheet1.pdf","text":"Sheet 1—Geologic map","size":"45.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3508 sheet 1"},{"id":466342,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3508/sim3508_sheet1_geospatial.pdf","text":"Sheet 1— Georeferenced geologic map","size":"46.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3508 sheet 1 geospatial"}],"country":"United States","state":"Idaho, Montana, Wyoming","county":"Beaverhead County, Gallatin County, Madison County","otherGeospatial":"Madison Valley and fault zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112,\n 45.75\n ],\n [\n -112,\n 43.25\n ],\n [\n -110,\n 43.25\n ],\n [\n -110,\n 45.75\n ],\n [\n -112,\n 45.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, MS-980
Denver, CO 80225-0046
Invasive species are often central to conservation efforts, particularly when concerns involve potential impacts on rare, endemic native species. The lower New River drainage of the eastern United States is a watershed that warrants conservation assessment, as the system is naturally depauperate of native fish species and it is nearly saturated with non-native fish species: there are 31 natives, including at least nine endemic taxa, and 63 non-natives. For endemic taxa, we examined temporal distribution shifts (range expansions or contractions) based on percent change in the occupied watershed area. We contrasted these findings with time series analyses on distribution trends of non-native minnows (Leuciscidae) and darters (Percidae) based on growth curve models of the cumulative sum of the total area of occupied 12-digit hydrologic unit codes. We documented range reductions for six of nine endemic taxa. We determined that 11 of 18 non-native minnows and 6 of 8 non-native darters were invasive based on range expansions and associated invasion curve models. The endemic taxa are of conservation concern given the limited distribution ranges and documented population declines. Although among-species comparisons of range shifts do not support causal inference, documentation of changes in distribution ranges of endemic and invasive species is critical to inform conservation efforts.
","language":"English","publisher":"MDPI","doi":"10.3390/w17020221","usgsCitation":"Welsh, S.A., Cincotta, D., Owens, N., and Stauffer, J.R., 2025, Endemic and invasive species: A history of distributional trends in the fish fauna of the lower New River drainage: Water, v. 17, no. 2, 221, 23 p., https://doi.org/10.3390/w17020221.","productDescription":"221, 23 p.","ipdsId":"IP-173053","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w17020221","text":"Publisher Index Page"},{"id":466432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee, Virginia, West Virginia","otherGeospatial":"New River drainage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.06585576020927,\n 38.59746796567387\n ],\n [\n -82.06585576020927,\n 35.986473012540856\n ],\n [\n -80.05188055833794,\n 35.986473012540856\n ],\n [\n -80.05188055833794,\n 38.59746796567387\n ],\n [\n -82.06585576020927,\n 38.59746796567387\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":217037,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"","middleInitial":"A.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":923241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cincotta, Daniel A.","contributorId":273118,"corporation":false,"usgs":false,"family":"Cincotta","given":"Daniel A.","affiliations":[{"id":56173,"text":"West Virginia DNR","active":true,"usgs":false}],"preferred":false,"id":923242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Owens, Nathaniel V.","contributorId":348205,"corporation":false,"usgs":false,"family":"Owens","given":"Nathaniel V.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":923243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stauffer, Jay R. Jr.","contributorId":119700,"corporation":false,"usgs":false,"family":"Stauffer","given":"Jay","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":923244,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262094,"text":"sir20245123 - 2025 - Groundwater-level elevations in the Denver Basin bedrock aquifers and Upper Black Squirrel Creek alluvial aquifer, El Paso County, Colorado, 2021–24","interactions":[],"lastModifiedDate":"2025-07-10T15:36:36.719182","indexId":"sir20245123","displayToPublicDate":"2025-01-14T12:40:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5123","displayTitle":"Groundwater-Level Elevations in the Denver Basin Bedrock Aquifers and Upper Black Squirrel Creek Alluvial Aquifer, El Paso County, Colorado, 2021–24","title":"Groundwater-level elevations in the Denver Basin bedrock aquifers and Upper Black Squirrel Creek alluvial aquifer, El Paso County, Colorado, 2021–24","docAbstract":"El Paso County is the second-most populous county in Colorado and is projected to grow another 15 percent by 2030. Within El Paso County is the Upper Black Squirrel Creek Designated Groundwater Basin (Black Squirrel Basin), an area where surface water is scarce and water users rely primarily on groundwater from five different aquifers (the Upper Black Squirrel Creek alluvial aquifer and four bedrock aquifers within the Denver Basin aquifer system: the lower Dawson, Denver, Arapahoe, and Laramie-Fox Hills aquifers) to meet their needs. Currently (2024), land within the Upper Black Squirrel Creek Basin is primarily used for rural grazing and agriculture; however, municipal development is ongoing.
In 2021, the U.S. Geological Survey, in cooperation with the Upper Black Squirrel Creek Ground Water Management District, began a study to establish a baseline dataset and assess the groundwater resources of the aquifers within the Black Squirrel Basin. A network of 39 wells was established in 2021; discrete groundwater-level measurements were made bimonthly. Nine of the 39 wells were equipped with pressure transducers to record hourly groundwater-level data. Seven wells had statistically significant seasonal trends, and trends at 3 wells were negative. For the discrete data, 16 wells had a significant trend for the study period, and 4 wells had negative trends. For the time-series data, 8 wells had significant trends, and 3 wells had negative trends.
Potentiometric surface maps were created for this study using discrete, static groundwater levels measured in April 2023. These maps showed the estimated groundwater flow direction from the north-northwest to the south-southeast in the alluvial aquifer and from the northwest to the east-southeast for the lower Dawson and Denver aquifer wells.
This study indicates the potential benefit of monitoring wells in the areas near municipal pumping. Additional monitoring could lead to a better understanding of connectivity between aquifers and be an important tool for assessing long-term sustainability of groundwater use.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20245123","isbn":"978-1-4113-4591-1","collaboration":"Prepared in cooperation with Upper Black Squirrel Creek Ground Water Management District","usgsCitation":"Kisfalusi, Z.D., Hennessy, E.K., and Sharp, J.B., 2025, Groundwater-level elevations in the Denver Basin bedrock aquifers and Upper Black Squirrel Creek alluvial aquifer, El Paso County, Colorado, 2021–24: U.S. Geological Survey Scientific Investigations Report 2024–5123, 49 p., https://doi.org/10.3133/sir20245123.","productDescription":"Report: vii, 49 p.; Database","onlineOnly":"N","ipdsId":"IP-147629","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":492020,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118294.htm","linkFileType":{"id":5,"text":"html"}},{"id":480762,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245123/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5123"},{"id":466239,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5123/sir20245123.xml"},{"id":466238,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5123/images"},{"id":466138,"rank":3,"type":{"id":9,"text":"Database"},"url":"http://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey, 2024, USGS water data for the Nation","linkHelpText":"U.S. Geological Survey National Water Information System database, accessed June 15, 2024"},{"id":466137,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5123/sir20245123.pdf","text":"Report","size":"9.24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5123"},{"id":466136,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5123/coverthb.jpg"}],"country":"United States","state":"Colorado","county":"El Paso County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-104.6642,39.1308],[-104.6072,39.1307],[-104.4958,39.1298],[-104.3854,39.1284],[-104.2733,39.1278],[-104.166,39.1277],[-104.0521,39.1264],[-104.0538,39.0407],[-104.0544,38.9528],[-104.0549,38.8666],[-104.0537,38.7801],[-104.0525,38.693],[-104.051,38.6585],[-104.0524,38.6069],[-104.054,38.523],[-104.1629,38.5215],[-104.2759,38.5204],[-104.2794,38.5205],[-104.2836,38.5201],[-104.3759,38.52],[-104.4971,38.5192],[-104.6071,38.5187],[-104.7171,38.5186],[-104.736,38.5183],[-104.8295,38.5183],[-104.943,38.5175],[-104.9432,38.5479],[-104.943,38.5624],[-104.9429,38.6041],[-104.9427,38.6186],[-104.9429,38.6467],[-104.9429,38.6503],[-104.9427,38.6621],[-104.9427,38.6648],[-104.9428,38.6938],[-104.9399,38.6938],[-104.9386,38.7808],[-104.939,38.7949],[-105.0671,38.7946],[-105.0674,38.8666],[-105.0502,38.8665],[-105.0296,38.8668],[-105.026,39.0413],[-105.032,39.1311],[-104.9371,39.1312],[-104.9175,39.131],[-104.8303,39.1311],[-104.6642,39.1308]]]},\"properties\":{\"name\":\"El Paso\",\"state\":\"CO\"}}]}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver, CO 80225
We document chemostratigraphy in an outcrop of late Albian to early Campanian (∼103–82 Ma) marine source rocks to better understand paleoenvironmental controls on trace element (TE) enrichment and organic matter accumulation in the distal Colville foreland basin of Arctic Alaska and how those drivers are linked to arc volcanism and successions of Cretaceous oceanographic and climatic biogeochemical events. This unique, 113-m-thick section of Cretaceous Hue Shale deposited during a series of previously undocumented Arctic Cretaceous oceanic anoxic events (Lease et al., 2024) is the only known exposure of thermally immature (0.48–0.52% Ro, random vitrinite reflectance) Hue Shale in Arctic Alaska. Strata comprise mainly clay-rich mudstone with elevated total organic carbon (TOC) and hydrogen index values reaching 26.3 wt% (mean = 7.5 wt%) and 689 mg hydrocarbon (HC)/g TOC (mean = 385 mg HC/g TOC), respectively. Maceral composition consists predominantly of fluorescent amorphous organic matter, with abundant brightly fluorescent alginite, including Tasmanites, acritarchs, and Leiosphaeridia. Discrete layers of volcanic ash (preserved as bentonite) are present throughout the section and provide quantitative age control based on U–Pb dates.
The ability to rapidly respond to wildlife health events is essential. However, such events are often unpredictable, especially with anthropogenic disturbances and climate-related environmental changes driving unforeseen threats. Many events also are short-lived and go undocumented, making it difficult to draw on lessons learned from past investigations. We report on the response to a mortality event observed predominantly in wild passerines in the eastern United States. The event began in May 2021 when wildlife rehabilitators and private citizens reported large numbers of sick and dead juvenile birds, mostly presenting as single cases with neurologic signs and/or ocular and periocular lesions. Early efforts by rehabilitators, veterinarians, state and federal wildlife agencies, and universities helped gather public reports and fuel rapid responses by government agencies. Collective efforts included live bird and carcass collections; submission to diagnostic laboratories and evaluation; information sharing; and coordinated messaging to stakeholders and interested parties. Extensive diagnostic evaluations failed to identify a causative pathogen or other etiology, although congruent results across laboratories have helped drive further investigation into alternative causes, such as nutritional deficiencies. This report highlights the strengths of a multi-agency, interdisciplinary investigation while exposing the need for an operational framework with approaches and resources dedicated to wildlife health.
","language":"English","publisher":"MDPI","doi":"10.3390/vetsci12010048","usgsCitation":"Greening, S., Ellis, J.C., Lewis, N., Needle, D., Tato, C., Knowles, S., Shearn-Bochsler, V.I., Miller, J.L., Grear, D.A., Lorch, J., Blehert, D.S., Burrell, C., Murphy, L., Miller, E., Ogbunugafor, C., Ayala, A.J., Thomas, W., Kirchgessner, M.S., Casey, C., Barton, E.P., Yabsley, M.J., Anis, E., Gagne, R., Klein, P., Driscoll, C.P., Sykes, C., Poppenga, R.H., and Nemeth, N., 2025, An enigmatic wild passerine mortality event in the eastern United States: Veterinary Sciences, v. 12, no. 1, 48, 12 p., https://doi.org/10.3390/vetsci12010048.","productDescription":"48, 12 p.","ipdsId":"IP-152442","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":466655,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/vetsci12010048","text":"Publisher Index 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Hough”","interactions":[],"lastModifiedDate":"2025-02-18T15:25:57.906281","indexId":"70263616","displayToPublicDate":"2025-01-10T09:23:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Reply to, “Comment on ‘The 1886 Charleston, South Carolina, earthquake: Relic railroad offset reveals rupture,’ by Roger Bilham and Susan E. Hough”","docAbstract":"We welcome this opportunity to respond to Pratt et al. (2024) (hereinafter P24). Bilham and Hough (2023) proposed a “first-cut” elastic deformation model for the 1886 earthquake, a quantitative source model constrained by identified coseismic constraints. A key observation was the measurement of a lateral offset of a railroad line south of Summerville, leading to a model with predominately dextral slip and minor convergence, from which we concluded that active faulting had raised the Penholoway Marine Terrace >6 m since ∼770 ka. P24 questioned these constraints and proposed an alternative rupture model with predominantly reverse slip. This alternative model is neither consistent with coseismic constraints nor with other geophysical data. In a revised model presented here, we recognize that uplift of the Penholoway Terrace is confined to the eastern edge of the terrace, which we conclude results from active folding and tectonic transpression centered on the dextral fault that offset the railroad in 1886.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320240027","usgsCitation":"Bilham, R., and Hough, S.E., 2025, Reply to, “Comment on ‘The 1886 Charleston, South Carolina, earthquake: Relic railroad offset reveals rupture,’ by Roger Bilham and Susan E. 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2025 - Bison population dynamics, harvest, and conflict potential under feedground management alternatives at the National Elk Refuge in Jackson, Wyoming","interactions":[{"subject":{"id":70261165,"text":"sir20245119D - 2025 - Bison population dynamics, harvest, and conflict potential under feedground management alternatives at the National Elk Refuge in Jackson, Wyoming","indexId":"sir20245119D","publicationYear":"2025","noYear":false,"chapter":"D","displayTitle":"Bison Population Dynamics, Harvest, and Human Conflict Potential Under Feedground Management Alternatives at the National Elk Refuge in Jackson, Wyoming","title":"Bison population dynamics, harvest, and conflict potential under feedground management alternatives at the National Elk Refuge in Jackson, Wyoming"},"predicate":"IS_PART_OF","object":{"id":70261983,"text":"sir20245119 - 2025 - Decision analysis in support of the National Elk Refuge bison and elk management plan","indexId":"sir20245119","publicationYear":"2025","noYear":false,"title":"Decision analysis in support of the National Elk Refuge bison and elk management plan"},"id":1},{"subject":{"id":70261165,"text":"sir20245119D - 2025 - Bison population dynamics, harvest, and conflict potential under feedground management alternatives at the National Elk Refuge in Jackson, Wyoming","indexId":"sir20245119D","publicationYear":"2025","noYear":false,"chapter":"D","displayTitle":"Bison Population Dynamics, Harvest, and Human Conflict Potential Under Feedground Management Alternatives at the National Elk Refuge in Jackson, Wyoming","title":"Bison population dynamics, harvest, and conflict potential under feedground management alternatives at the National Elk Refuge in Jackson, Wyoming"},"predicate":"SUPERSEDED_BY","object":{"id":70270251,"text":"sir20255076D - 2025 - Bison population dynamics, harvest, and human conflict potential under feedground management alternatives at the National Elk Refuge in Jackson, Wyoming","indexId":"sir20255076D","publicationYear":"2025","noYear":false,"chapter":"D","title":"Bison population dynamics, harvest, and human conflict potential under feedground management alternatives at the National Elk Refuge in Jackson, Wyoming"},"id":2}],"isPartOf":{"id":70261983,"text":"sir20245119 - 2025 - Decision analysis in support of the National Elk Refuge bison and elk management plan","indexId":"sir20245119","publicationYear":"2025","noYear":false,"title":"Decision analysis in support of the National Elk Refuge bison and elk management plan"},"supersededBy":{"id":70270251,"text":"sir20255076D - 2025 - Bison population dynamics, harvest, and human conflict potential under feedground management alternatives at the National Elk Refuge in Jackson, Wyoming","indexId":"sir20255076D","publicationYear":"2025","noYear":false,"title":"Bison population dynamics, harvest, and human conflict potential under feedground management alternatives at the National Elk Refuge in Jackson, Wyoming"},"lastModifiedDate":"2025-08-14T19:58:43.465792","indexId":"sir20245119D","displayToPublicDate":"2025-01-08T09:40:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5119","chapter":"D","displayTitle":"Bison Population Dynamics, Harvest, and Human Conflict Potential Under Feedground Management Alternatives at the National Elk Refuge in Jackson, Wyoming","title":"Bison population dynamics, harvest, and conflict potential under feedground management alternatives at the National Elk Refuge in Jackson, Wyoming","docAbstract":"Bison bison (bison) were once abundant across North America but declined due to overharvesting in the late 1800s. The reintroduced population in and around Jackson, Wyoming has averaged 485 individuals between 2018–2023 and is the subject of a planning process to inform management strategies that will guide the U.S. Fish and Wildlife’s next “Bison and Elk Management Plan” for the National Elk Refuge. This small population may benefit from historical winter-feeding operations on the National Elk Refuge because those operations may increase overwinter survival and limit human-bison conflicts, which are the number of individual bison that engage in nuisance, damaging, or otherwise aggressive behaviors with humans and livestock, that may lead to culling and other sources of mortality (for example, vehicle collisions). To inform the next “Bison and Elk Management Plan,” the U.S. Geological Survey used a population model to evaluate five management alternatives for bison and Cervus elaphus canadensis (elk) feedground operations that included continuing the elk and bison feeding program, immediately stopping the feeding program, and three other alternatives that would phase out the feeding program after a period of time. The results indicate that the bison population would be expected to decline over the next 20 years under all alternatives that stop feeding bison on the refuge. Further, this decline would lead to an associated reduction in bison harvest opportunities for resident, nonresident, and Tribal hunters. Finally, human-bison conflicts would also be expected to increase under the no feeding alternatives because bison may venture onto private lands in greater numbers if feed is not provisioned during winter months. In combination, these effects suggest that feeding may lead to better outcomes for bison over the next 20 years; however, these effects may be traded off against other downsides of the feedground program, such as increased rates of animal-to-animal contact on feedgrounds that can lead to disease transmission.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245119D","collaboration":"Prepared in cooperation with the National Park Service, U.S. Fish and Wildlife Service, and Wyoming Game and Fish Department","programNote":"Ecosystems Mission Area—Biological Threats & Invasive Species Research Program","usgsCitation":"Cook, J.D., McEachran, M.C., Cotterill, G.G., and Cole, E.K., 2025, Bison population dynamics, harvest, and conflict potential under feedground management alternatives at the National Elk Refuge in Jackson, Wyoming, chap. D of Cook, J.D., and Cross, P.C., eds., Decision analysis in support of the National Elk Refuge bison and elk management plan: U.S. Geological Survey Scientific Investigations Report 2024–5119, 24 p., https://doi.org/10.3133/sir20245119D.","productDescription":"Report: vi, 24 p.; Software Release","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-166368","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":465783,"rank":6,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P1QZGZSN","text":"USGS software release","linkHelpText":"- Jackson bison population projections"},{"id":465782,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5119/d/images/"},{"id":465779,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5119/d/sir20245119D.pdf","text":"Report","size":"5.02 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5119 Chap. D PDF"},{"id":465778,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5119/d/coverthb2.jpg"},{"id":465781,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5119/d/sir20245119D.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5119 Chap. D XML"},{"id":465780,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245119D/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5119 Chap. D HTML"}],"country":"United States","state":"Wyoming","city":"Jackson","otherGeospatial":"National Elk Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.78225266437141,\n 43.46790181387567\n ],\n [\n -110.72445411600302,\n 43.480764457816235\n ],\n [\n -110.70981181708308,\n 43.502568770827935\n ],\n [\n -110.6897749869821,\n 43.51262964481907\n ],\n [\n -110.6628023310768,\n 43.52213004158219\n ],\n [\n -110.64353614828745,\n 43.53665716685947\n ],\n [\n -110.62349931818646,\n 43.55620738705895\n ],\n [\n -110.5972973095928,\n 43.598637460483474\n ],\n [\n -110.59883860421601,\n 43.62653567653447\n ],\n [\n -110.6520132687147,\n 43.62207283164909\n ],\n [\n -110.6897749869821,\n 43.60477617840215\n ],\n [\n -110.73216058911865,\n 43.56458411181504\n ],\n [\n -110.74680288803886,\n 43.517100606095084\n ],\n [\n -110.76067453964718,\n 43.50480466552287\n ],\n [\n -110.78225266437141,\n 43.46790181387567\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Center Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Rd., Ste 4039
Laurel, MD 20708-4039
The National Elk Refuge (Refuge) is managed by the U.S. Fish and Wildlife Service and includes habitats for bison and elk. Bison and elk provide opportunities for wildlife-related recreation and contribute to the tourism industry in and around Jackson, Wyoming. Over the last century, the Refuge has provisioned supplemental feed to elk and, more recently, bison during winter months to ensure adequate forage and prevent starvation and conflict with private landowners. However, supplemental feeding artificially aggregates animals and can increase rates of disease transmission and localized damage to sensitive habitats near the feeding areas. This report presents analyses and results to support two of the nine management objectives in the next “Bison and Elk Management Plan,” with a particular focus on the social and economic consequences of five management alternatives considered in this study. The alternatives are to continue feeding bison and elk during winter months on the Refuge, stop feeding after CWD is measured at 3 percent prevalence or above in the Jackson elk herd, stop feeding immediately, reduce feeding for five years and then stop feeding, and increase elk harvest for five years and then stop feeding. These alternatives are anticipated to alter bison and elk population and space-use dynamics, with corresponding effects on wildlife-related recreation and tourism, including the number of visitors and sleigh-ride participants on the Refuge, and hunters and outfitters within the Jackson Elk Herd Unit. The performance of each of this study’s alternatives was variable, resulting in overlap in the performance of alternatives on the select objectives over the next 20 years. Generally, visitation-related objectives performed better under the continue feeding alternative, whereas hunting-related objectives performed better under the increase harvest alternative. The results presented here may assist U.S. Fish and Wildlife Service decision makers in balancing social and economic benefits identified in the decision-making process for the “Bison and Elk Management Plan” with other objectives evaluated in this report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245119E","collaboration":"Prepared in cooperation with the National Park Service, U.S. Fish and Wildlife Service, and Wyoming Game and Fish Department","programNote":"Ecosystems Mission Area—Biological Threats & Invasive Species Research Program","usgsCitation":"McEachran, M.C., Don Carlos, A., Cotterill, G.G., Cole, E.K., and Cook, J.D., 2025, Estimating the social and economic consequences of proposed management alternatives at the National Elk Refuge, chap. E of Cook, J.D., and Cross, P.C., eds., Decision analysis in support of the National Elk Refuge bison and elk management plan (ver. 1.1, May 2025): U.S. Geological Survey Scientific Investigations Report 2024–5119, 11 p., https://doi.org/10.3133/sir20245119E.","productDescription":"Report: vi, 11 p.; Software Release","numberOfPages":"11","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-166510","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":486096,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2024/5119/e/versionHist.txt","size":"1.11 KB","linkFileType":{"id":2,"text":"txt"}},{"id":465787,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5119/e/sir20245119E.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5119 Chap. E XML"},{"id":465786,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245119E/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5119 Chap. E HTML"},{"id":465785,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5119/e/sir20245119E.pdf","text":"Report","size":"1.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5119 Chap. E PDF"},{"id":465788,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5119/e/images/"},{"id":465789,"rank":6,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P1DZS7MW","text":"USGS software release","linkHelpText":"- Socioeconomic effects of bison and elk management alternatives on National Elk Refuge"},{"id":465784,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5119/e/coverthb3.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"National Elk Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.78225266437141,\n 43.46790181387567\n ],\n [\n -110.72445411600302,\n 43.480764457816235\n ],\n [\n -110.70981181708308,\n 43.502568770827935\n ],\n [\n -110.6897749869821,\n 43.51262964481907\n ],\n [\n -110.6628023310768,\n 43.52213004158219\n ],\n [\n -110.64353614828745,\n 43.53665716685947\n ],\n [\n -110.62349931818646,\n 43.55620738705895\n ],\n [\n -110.5972973095928,\n 43.598637460483474\n ],\n [\n -110.59883860421601,\n 43.62653567653447\n ],\n [\n -110.6520132687147,\n 43.62207283164909\n ],\n [\n -110.6897749869821,\n 43.60477617840215\n ],\n [\n -110.73216058911865,\n 43.56458411181504\n ],\n [\n -110.74680288803886,\n 43.517100606095084\n ],\n [\n -110.76067453964718,\n 43.50480466552287\n ],\n [\n -110.78225266437141,\n 43.46790181387567\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: January 8, 2025; Version 1.1: May 19, 2025","contact":"Center Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Rd., Ste 4039
Laurel, MD 20708-4039
This report was developed to evaluate the performance of a set of proposed alternatives for Cervus elaphus canadensis (elk) and Bison bison (bison) management at the National Elk Refuge in Wyoming, U.S.A., and to inform a National Environmental Policy Act Environmental Impact Statement focused on developing the next “Bison and Elk Management Plan” (BEMP). The U.S. Geological Survey facilitated a structured decision-making process for the U.S. Fish and Wildlife Service to develop the alternatives and the criteria (performance metrics) for evaluating the alternatives.
Chapter A (this chapter) provides scoping details of the “BEMP”, a summary of the 19 metrics that are used to evaluate the performance of each of 5 alternatives, and methodological details of 2 performance metrics that were not covered in other technical chapters. Additional technical details, results, and interpretations are briefly covered in this chapter, but are mostly contained in chapters B–E.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245119A","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture, National Park Service, U.S. Fish and Wildlife Service, and Wyoming Game and Fish Department","programNote":"Ecosystems Mission Area—Biological Threats & Invasive Species Research Program, Environmental Health Program, and the Species Management Research Program","usgsCitation":"Cook, J.D., Cotterill, G.G., McEachran, M.C., Graves, T.A., Cole, E.K., and Cross, P.C., 2025, Decision framing overview and performance of management alternatives for bison and elk feedground management at the National Elk Refuge in Jackson, Wyoming, chap. A of Cook, J.D., and Cross, P.C., eds., Decision analysis in support of the National Elk Refuge bison and elk management plan: U.S. Geological Survey Scientific Investigations Report 2024–5119, 19 p., https://doi.org/10.3133/sir20245119A.","productDescription":"Report: iv, 19 p.; 4 Software Releases","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-166935","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":465728,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245119A/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5119 Chap. A HTML"},{"id":465734,"rank":9,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P1DZS7MW","text":"USGS software release","linkHelpText":"- Socioeconomic effects of bison and elk management alternatives on National Elk Refuge"},{"id":465733,"rank":8,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P14EPY3U","text":"USGS software release","linkHelpText":"- CWD software code for simulating elk and chronic wasting disease dynamics on the National Elk Refuge (version 0.1.0)"},{"id":465732,"rank":7,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P14FF6E6","text":"USGS software release","linkHelpText":"- Supporting code for—Evaluating elk distribution and conflict under proposed management alternatives at the National Elk Refuge in Jackson, Wyoming"},{"id":465731,"rank":6,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P1QZGZSN","text":"USGS software release","linkHelpText":"- Jackson bison population projections"},{"id":465730,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5119/a/images/"},{"id":465729,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5119/a/sir20245119A.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5119 Chap. A XML"},{"id":465727,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5119/a/sir20245119A.pdf","text":"Report","size":"3.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5119 Chap. A PDF"},{"id":465726,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5119/a/coverthb2.jpg"}],"country":"United States","state":"Wyoming","city":"Jackson","otherGeospatial":"National Elk Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.78225266437141,\n 43.46790181387567\n ],\n [\n -110.72445411600302,\n 43.480764457816235\n ],\n [\n -110.70981181708308,\n 43.502568770827935\n ],\n [\n -110.6897749869821,\n 43.51262964481907\n ],\n [\n -110.6628023310768,\n 43.52213004158219\n ],\n [\n -110.64353614828745,\n 43.53665716685947\n ],\n [\n -110.62349931818646,\n 43.55620738705895\n ],\n [\n -110.5972973095928,\n 43.598637460483474\n ],\n [\n -110.59883860421601,\n 43.62653567653447\n ],\n [\n -110.6520132687147,\n 43.62207283164909\n ],\n [\n -110.6897749869821,\n 43.60477617840215\n ],\n [\n -110.73216058911865,\n 43.56458411181504\n ],\n [\n -110.74680288803886,\n 43.517100606095084\n ],\n [\n -110.76067453964718,\n 43.50480466552287\n ],\n [\n -110.78225266437141,\n 43.46790181387567\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Center Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Rd., Ste 4039
Laurel, MD 20708-4039
This report was developed to evaluate the performance of a set of proposed alternatives for Cervus elaphus canadensis (elk) and Bison bison (bison) management at the National Elk Refuge (NER) in Wyoming, U.S.A., and to inform a National Environmental Policy Act Environmental Impact Statement focused on developing the next “Bison and Elk Management Plan” (BEMP). The U.S. Geological Survey facilitated a structured decision-making process for the U.S. Fish and Wildlife Service to develop the alternatives and the criteria (performance metrics) for evaluating the alternatives. Chapter A provides scoping details of the report, a summary of the 19 metrics that are used to evaluate the performance of each of 5 alternatives, and methodological details of 2 performance metrics that were not covered in other technical chapters. Chapter B analyzes elk population and chronic wasting disease dynamics under the five alternatives. Chapter C evaluates elk space-use based on data collected from global positioning system collars on elk and expert elicitation for scenarios with limited data. Chapter D evaluates bison population dynamics, conflict, and harvest patterns under the five alternatives. Chapter E assesses social and economic consequences. The alternatives are anticipated to have varying affects on bison and elk population abundance and private land use, wildlife-related recreation and tourism, and hunters and outfitters in the region. Each chapter was developed under advisement of a technical team, made up science experts from U.S. Fish and Wildlife Service, National Park Service, U.S. Forest Service, and Wyoming Game and Fish Department.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245119","collaboration":"Prepared in cooperation with the U.S. Departement of Agriculture, National Park Service, U.S. Fish and Wildlife Service, and Wyoming Game Fish Department","programNote":"Ecosystems Missions Area—Biological Threats & Invasive Species Research Program, Environmental Health Program, and the Species Management Research Program","usgsCitation":"Cook, J.D., and Cross, P.C., eds., 2025, Decision analysis in support of the National Elk Refuge bison and elk management plan: U.S. Geological Survey Scientific Investigations Report 2024–5119, 5 chap. (A–E), variously paged, https://doi.org/10.3133/sir20245119.","productDescription":"5 Chapters","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":465873,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5119/coverthb2.jpg"},{"id":465935,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5119/sir20245119.pdf","text":"Report","size":"12.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5119 PDF"}],"contact":"Center Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Rd., Ste 4039
Laurel, MD 20708-4039
In 2021, we initiated fieldwork to assess the relative importance of a staging area for Sterna hirundo (Common Tern) at a pier at the confluence of the Patuxent River and Chesapeake Bay, MD. During the post-breeding periods of 2021 through 2023, we resighted 378 banded Common Terns at this staging area, with individuals originating from 6 breeding colonies. Most banded individuals were from Poplar Island, a major nesting site 50 km north of the pier, with up to 37% of that island's annual hatch-year population observed at this staging area. Additionally, biologists have previously observed staging terns at this site, suggesting these observations do not reflect a change in the species' behavior within the region. Cumulatively, our data suggest that this habitat acts as an important staging area for the Chesapeake Bay's Common Tern population, particularly for those nesting on Poplar Island.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.031.0413","usgsCitation":"Springer, B., Sullivan, J.D., Prosser, D.J., Rambo, K., and Price, J., 2025, Common Terns (Sterna hirundo) use of a staging site in the Chesapeake Bay: Northeastern Naturalist, v. 31, no. 4, p. 555-564, https://doi.org/10.1656/045.031.0413.","productDescription":"10 p.","startPage":"555","endPage":"564","ipdsId":"IP-169973","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":466219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Chesapeake Bay, Patuxent River, Poplar Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.47539729451665,\n 38.83723086335985\n ],\n [\n -76.47539729451665,\n 38.64818684791629\n ],\n [\n -76.33733194779678,\n 38.64818684791629\n ],\n [\n -76.33733194779678,\n 38.83723086335985\n ],\n [\n -76.47539729451665,\n 38.83723086335985\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"31","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Springer, Benjamin","contributorId":347743,"corporation":false,"usgs":false,"family":"Springer","given":"Benjamin","affiliations":[{"id":52128,"text":"St. Mary’s College of Maryland","active":true,"usgs":false}],"preferred":false,"id":922361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":922362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":922363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rambo, Kyle","contributorId":347745,"corporation":false,"usgs":false,"family":"Rambo","given":"Kyle","affiliations":[{"id":83224,"text":"Naval Air Station","active":true,"usgs":false}],"preferred":false,"id":922364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Price, J. Jordan","contributorId":347746,"corporation":false,"usgs":false,"family":"Price","given":"J. Jordan","affiliations":[{"id":52128,"text":"St. Mary’s College of Maryland","active":true,"usgs":false}],"preferred":false,"id":922365,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261849,"text":"sim3529 - 2025 - Map of topographic lineaments interpreted as recent surface ruptures along the Bennett Valley and Southern Maacama Fault Zones, Sonoma County, California","interactions":[],"lastModifiedDate":"2025-07-10T15:31:33.467921","indexId":"sim3529","displayToPublicDate":"2025-01-07T13:37:32","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3529","displayTitle":"Map of Topographic Lineaments Interpreted As Recent Surface Ruptures Along the Bennett Valley and Southern Maacama Fault Zones, Sonoma County, California","title":"Map of topographic lineaments interpreted as recent surface ruptures along the Bennett Valley and Southern Maacama Fault Zones, Sonoma County, California","docAbstract":"This study documents lidar-illuminated topographic lineaments interpreted as evidence of recent surface fault ruptures and surface ruptures related to distributed deformation along the Bennett Valley Fault Zone and the southernmost Maacama Fault Zone in the northern San Francisco Bay area (fig. 1, on map sheet). Together, these fault zones form a structural connection across a right stepover between the main Maacama Fault Zone and the Rodgers Creek Fault, overlapping principal strands of the San Andreas plate boundary system north of San Francisco Bay (figs. 1, 2, on map sheet) that accommodate about a quarter of the ~40 millimeters per year of regional dextral tectonic slip (Parsons and others, 2013).
Although much of the Bennett Valley Fault Zone is seismically active (McLaughlin and others, 2012; Sowers and others, 2010), only the north end of the fault zone (the “Spring Valley strand,” indicated on southern map panel of map sheet and labeled “D” in figure 2, on map sheet) was previously known to have youthful geomorphic expression and to displace Holocene deposits (McLaughlin and others, 2008; Sowers and others, 2010; Sowers and others, 2016). Holocene activity along the length of the Bennett Valley Fault Zone and southernmost Maacama Fault Zone, with possible implications for rupture propagation, continuity, and slip transfer, had not been identified. However, fault splays that project eastward from the Rodgers Creek Fault have been mapped and hypothesized to accommodate slip transfer to the Bennett Valley Fault Zone (Hecker and Randolph Loar, 2018). The generally subtle and distributed nature of surface-rupture evidence along the Bennett Valley and southernmost Maacama Fault Zones, and extensive vegetation cover, had left recent faulting previously unmapped along most of the zone.
The map presented here represents a new compilation of inferred surface-rupture features detected using high-resolution topographic lidar data from an airborne lidar survey of Sonoma County, California (OpenTopography, 2014). These data, which enable subtle topographic features to be discerned, indicate that recent (likely Holocene) surface ruptures extend throughout the Bennett Valley and southernmost Maacama Fault Zones.
The rupture-lineament map was created using a GIS (geographic information system) framework and is included herein as an image map at a scale of 1:36,000 and as digital datasets (included as supplemental information to this report). The mapping is intended to lay the groundwork for future studies designed to better characterize how plate-boundary slip is accommodated on this important and complex system of faults.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3529","usgsCitation":"Hecker, S., 2024, Map of topographic lineaments interpreted as recent surface ruptures along the Bennett Valley and Southern Maacama Fault Zones, Sonoma County, California: U.S. Geological Survey Scientific Investigations Map 3529, scale 1:36,000, pamphlet 5 p., https://doi.org/10.3133/sim3529.","productDescription":"Pamphlet: iv, 5 p.; 1 Sheet: 50.91 x 40.68 inches; Supplemental Information","numberOfPages":"5","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-143849","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":465535,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3529/sim3529_sheet.pdf","text":"Sheet 1","size":"8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":465534,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3529/sim3529_pamphlet.pdf","text":"Pamphlet","size":"2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":465533,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3529/covrthb.jpg"},{"id":465536,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3529/sim3529_supInfo.zip","text":"Supplemental Information","size":"1 MB","linkFileType":{"id":6,"text":"zip"}},{"id":492016,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118275.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","county":"Sonoma County","otherGeospatial":"Bennett Valley and Southern Maacama fault zones","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.125,\n 39\n ],\n [\n -123.125,\n 37.375\n ],\n [\n -121.5,\n 37.375\n ],\n [\n -121.5,\n 39\n ],\n [\n -123.125,\n 39\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Earthquake Science Center
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Moffett Field, CA 94035
Watershed sediment yield commonly increases after wildfire, often causing negative impacts to downstream infrastructure and water resources. Post-fire erosion is important to understand and quantify because it is increasingly placing water supplies, habitat, communities, and infrastructure at risk as fire regimes intensify in a warming climate. However, measurements of post-fire sediment mobilization are lacking from many regions. We measured sediment yield from a forested, heavily managed 25.4-km2 watershed in the western Sierra Nevada, California, over 2 years following the 2021 Caldor Fire, by repeat mapping of a reservoir where sediment accumulated from terrain with moderate to high soil burn severity. Sediment yield was less than the geochronology-derived long-term average in the first year post-fire (conservatively estimated at 21.8–28.0 t/km2), low enough to be difficult to measure with uncrewed airborne system (UAS) and bathymetric sonar survey methods that are most effective at detecting larger sedimentary signals. In the second year post-fire the sediment delivery was 1,560–2,010 t/km2, an order of magnitude above long-term values, attributable to greater precipitation and intensive salvage logging. Hillslope erosion simulated by the Water Erosion Prediction Project (WEPP) model overestimated the measured amount by a factor of 90 in the first year and in the second year by a factor (1.9) that aligned with previously determined model performance in northern California. We encourage additional field studies, and validation of erosion models where feasible, to further expand the range of conditions informing post-fire hazard assessments and management decisions.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024EA003939","usgsCitation":"East, A.E., Logan, J.B., Dartnell, P., Dow, H.W., Lindsay, D.N., and Cavagnaro, D.B., 2025, Post-fire sediment yield from a western Sierra Nevada watershed burned by the 2021 Caldor Fire: Earth and Space Science, v. 12, no. 1, e2024EA003939, 23 p., https://doi.org/10.1029/2024EA003939.","productDescription":"e2024EA003939, 23 p.","ipdsId":"IP-168883","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466662,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024ea003939","text":"Publisher Index Page"},{"id":466216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"2021 Caldor Fire burn zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.667,\n 39\n ],\n [\n -120.75,\n 39\n ],\n [\n -120.75,\n 38.5\n ],\n [\n -119.667,\n 38.5\n ],\n [\n -119.667,\n 39\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":923095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Logan, Joshua B. 0000-0002-6191-4119 jlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-6191-4119","contributorId":2335,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua","email":"jlogan@usgs.gov","middleInitial":"B.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":923096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dartnell, Peter 0000-0002-9554-729X","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":208208,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":923097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dow, Helen Willemien 0000-0001-6386-5560","orcid":"https://orcid.org/0000-0001-6386-5560","contributorId":299290,"corporation":false,"usgs":true,"family":"Dow","given":"Helen","email":"","middleInitial":"Willemien","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":923098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindsay, Donald N.","contributorId":216337,"corporation":false,"usgs":false,"family":"Lindsay","given":"Donald","email":"","middleInitial":"N.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":923099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cavagnaro, David B.","contributorId":267181,"corporation":false,"usgs":false,"family":"Cavagnaro","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":923100,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262839,"text":"70262839 - 2025 - Navigating new threats: Prey naivete in native mammals","interactions":[],"lastModifiedDate":"2025-02-11T15:49:43.423714","indexId":"70262839","displayToPublicDate":"2025-01-03T09:46:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Navigating new threats: Prey naivete in native mammals","docAbstract":"1. Invasive predators pose a substantial threat to global biodiversity. Native prey species frequently exhibit naïveté to the cues of invasive predators, and this phenomenon may contribute to the disproportionate impact of invasive predators on prey populations. However, not all species exhibit naïveté, which has led to the generation of many hypotheses to explain patterns in prey responses. These hypotheses primarily fall into two categories: system-centric hypotheses related to biogeographic isolation (BIH) and species-centric hypotheses, like the arche type similarity hypothesis (ASH).
2. We tested the predictions of these hypotheses by assessing the response of the common raccoon (Procyon lotor) and hispid cotton rat (Sigmodon hispidus), two native mammal species with divergent snake predation histories, to the cues of the invasive Burmese python (Python bivittatus) in the Florida Everglades (USA). Using giving-up densities (GUDs), we assessed the responses of both cotton rats and raccoons to life-size replicas of Burmese pythons and two North American predators eastern diamondback rattlesnakes (Crotalus adamanteus) and coyotes (Canis latrans).
3. Although cotton rats increased their GUD in the presence of all three predators relative to the novel-object control, raccoons only increased their GUD in coyote treatments.
4. These results align with the predictions of the ASH but not the BIH, and mirror observed patterns of population declines in invaded areas of the Florida Everglades.
5. More broadly, our findings suggest that naïveté may contribute to the vulnerability of some species to invasive predators even in large continental systems
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.14233","usgsCitation":"McKee, R.K., Hart, K., Zeitoune, S., and McCleery, R.A., 2025, Navigating new threats: Prey naivete in native mammals: Journal of Animal Ecology, v. 94, no. 2, p. 210-219, https://doi.org/10.1111/1365-2656.14233.","productDescription":"10 p.","startPage":"210","endPage":"219","ipdsId":"IP-166993","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":498444,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.14233","text":"Publisher Index Page"},{"id":481150,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Paynes Prairie Preserve State Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.35135078728811,\n 29.625410454636224\n ],\n [\n -82.35135078728811,\n 29.50509493981184\n ],\n [\n -82.22686579512518,\n 29.50509493981184\n ],\n [\n -82.22686579512518,\n 29.625410454636224\n ],\n [\n -82.35135078728811,\n 29.625410454636224\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"94","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-03","publicationStatus":"PW","contributors":{"authors":[{"text":"McKee, Rebecca K.","contributorId":341474,"corporation":false,"usgs":false,"family":"McKee","given":"Rebecca","email":"","middleInitial":"K.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":924970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":924971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zeitoune, Spencer","contributorId":349858,"corporation":false,"usgs":false,"family":"Zeitoune","given":"Spencer","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":924972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCleery, Robert A.","contributorId":139849,"corporation":false,"usgs":false,"family":"McCleery","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":924973,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263812,"text":"70263812 - 2025 - Spatiotemporal dynamics and habitat use of red snapper (Lutjanus campechanus) on the southeastern United States Atlantic continental shelf","interactions":[],"lastModifiedDate":"2025-02-25T15:21:59.92779","indexId":"70263812","displayToPublicDate":"2025-01-03T08:12:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal dynamics and habitat use of red snapper (Lutjanus campechanus) on the southeastern United States Atlantic continental shelf","docAbstract":"Red snapper (Lutjanus campechanus) is an iconic marine fish species along the southeast United States coast. Despite its ecological and economic importance, surprisingly little is known about red snapper biology and habitat use on the southeast United States Atlantic continental shelf (SEUS). We used data from a long-term baited trap and video survey (2011–2022), as well as from remotely operated vehicle (ROV) sampling (2021–2023), to quantify temporal changes in relative abundance, patterns of spatial distribution, and habitat use of red snapper in the SEUS. Using generalized additive models, we showed that red snapper increased in relative abundance from 2011 to 2022 by 960% in traps and 1,141% in video samples. Red snapper relative abundance was highest in mid-shelf waters off the east coast of Florida, Georgia, and, to a lesser extent, off the Outer Banks of North Carolina; red snapper were less common off southern North Carolina and South Carolina. Highest relative abundance of red snapper occurred in locations with a moderate amount of natural structured habitat and high seafloor complexity and were never observed at randomly selected ROV stations (n = 197) lacking structured habitat. These results increase our understanding of the spatial and temporal distribution of red snapper, improve our knowledge of red snapper habitat use, and can be used when scaling local density estimates to the entire SEUS.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2024.107200","usgsCitation":"Bacheler, N., Patterson III, W., Tarnecki, J., Shertzer, K., Buckel, J., Hostetter, N.J., Pacifici, K., Zulian, V., and Bubley, W., 2025, Spatiotemporal dynamics and habitat use of red snapper (Lutjanus campechanus) on the southeastern United States Atlantic continental shelf: Fisheries Research, v. 281, 107200, 13 p., https://doi.org/10.1016/j.fishres.2024.107200.","productDescription":"107200, 13 p.","ipdsId":"IP-160875","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":486926,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fishres.2024.107200","text":"Publisher Index Page"},{"id":482442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina","otherGeospatial":"southeastern United States Atlantic continental shelf","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.92593395494507,\n 33.15275092248328\n ],\n [\n -81.99045643689327,\n 31.10056957805797\n ],\n [\n -80.87712766876851,\n 28.48701241069105\n ],\n [\n -80.3042465673629,\n 31.325404220996276\n ],\n [\n -76.71024593975332,\n 34.122762076854926\n ],\n [\n -76.22924401859534,\n 35.13912357508609\n ],\n [\n -79.92593395494507,\n 33.15275092248328\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.13968222172028,\n 19.755747085043822\n ],\n [\n -155.13968222172028,\n 19.69242312727401\n ],\n [\n -155.07419576383438,\n 19.69242312727401\n ],\n [\n -155.07419576383438,\n 19.755747085043822\n ],\n [\n -155.13968222172028,\n 19.755747085043822\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"281","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bacheler, Nathan M.","contributorId":351435,"corporation":false,"usgs":false,"family":"Bacheler","given":"Nathan M.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":928514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patterson III, William F.","contributorId":351436,"corporation":false,"usgs":false,"family":"Patterson III","given":"William F.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":928515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tarnecki, Joseph H.","contributorId":351437,"corporation":false,"usgs":false,"family":"Tarnecki","given":"Joseph H.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":928516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shertzer, Kyle W.","contributorId":351439,"corporation":false,"usgs":false,"family":"Shertzer","given":"Kyle W.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":928517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buckel, Jeffrey A.","contributorId":351441,"corporation":false,"usgs":false,"family":"Buckel","given":"Jeffrey A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":928518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hostetter, Nathan J. 0000-0001-6075-2157 nhostetter@usgs.gov","orcid":"https://orcid.org/0000-0001-6075-2157","contributorId":198843,"corporation":false,"usgs":true,"family":"Hostetter","given":"Nathan","email":"nhostetter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":928519,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pacifici, Krishna","contributorId":351444,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":928520,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zulian, Viviane","contributorId":351446,"corporation":false,"usgs":false,"family":"Zulian","given":"Viviane","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":928521,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bubley, Walter J.","contributorId":351447,"corporation":false,"usgs":false,"family":"Bubley","given":"Walter J.","affiliations":[{"id":35670,"text":"South Carolina Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":928522,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70263776,"text":"70263776 - 2025 - Population estimates and land cover use of wintering Mountain Plovers in Texas","interactions":[],"lastModifiedDate":"2025-02-24T15:47:14.578888","indexId":"70263776","displayToPublicDate":"2025-01-01T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Population estimates and land cover use of wintering Mountain Plovers in Texas","docAbstract":"Conservation of migratory birds throughout the full annual cycle requires a comprehensive understanding of abundance and distribution in interconnected breeding, migration, and wintering habitats. The Mountain Plover (Anarhynchus montanus) is a rare endemic breeder of the Rocky Mountain and Great Plains regions that migrates to wintering grounds in the southwestern USA and northern Mexico. Information regarding its wintering abundance and distribution, particularly in Texas, is limited. This study provides the first population estimate for Mountain Plovers wintering in Texas and examines factors influencing their land cover use. Through distance sampling surveys in six ecoregions of Texas, we estimated an annual wintering population of 3096 (95% CI 1464–6547) Mountain Plovers during 2019–2020, with the greatest abundances in the Southern Texas Plains and Western Gulf Coastal Plain ecoregions. The highest plover densities were in the Southern Texas Plains and Central Great Plains ecoregions. Most plovers were found in cultivated crops, particularly tilled fields and sod farms, and plovers preferentially selected crop fields without residual vegetation or stubble. Grass/hay fields were used less, perhaps because of tall vegetation. Our findings highlight the significance of Texas as a wintering area for Mountain Plovers and emphasize the importance of specific cropland habitats for this species. These results provide crucial insights for conservation and management efforts aimed at protecting Mountain Plovers throughout their annual cycle.
","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/JFO-00583-960101","usgsCitation":"Lyons, J.E., Andres, B.A., Stone, K., Pierce, A., and Kruse, K.L., 2025, Population estimates and land cover use of wintering Mountain Plovers in Texas: Journal of Field Ornithology, v. 96, no. 1, 1, 10 p., https://doi.org/10.5751/JFO-00583-960101.","productDescription":"1, 10 p.","ipdsId":"IP-165312","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":489949,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/jfo-00583-960101","text":"Publisher Index Page"},{"id":482380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Mapping waterfowl distributions, using NEXRAD, may aid in the adaptive management of important waterfowl habitat and allow various government agencies to better understand the interface between wild and domestic birds and commercial agricultural practices. We used 9 years (2014–2023) of data from the US NEXRAD network to model winter waterfowl relative abundance in the CVC and MA as a function of weather, temporal period, environmental conditions, and landcover characteristics using boosted regression tree modelling. We were able to quantify the variability in effect size of 28 different covariates across space and time within two geographic regions which are critical to nationwide waterfowl management and host a high density of nationally important commercial agriculture. In general, weather, geographic (distance to features), and landcover condition (wetness index) predictors had the strongest relative effect on predicting wintering waterfowl relative abundance in both regions, while effects of land cover composition were more regionally and temporally specific. Increased daily mean temperature was a major predictor of increasing relative waterfowl abundance in both regions throughout the winter. Increasing precipitation had differing effects within regions, increasing relative waterfowl abundance in the MA, while decreasing in general within the CVC. Increasing relative waterfowl abundance in the CVC are strongly tied to the flooding of the landscape and rice availability, whereas waterfowl in the MA, where water is less limiting, are generally governed by waste grain availability and emergent wetland on the landscape. Waterfowl relative abundance in the MA was generally higher nearer to the Atlantic coast and lakes, while in the CVC they were higher nearer to lakes. Our findings promote a better understanding of spatial associations of waterfowl to landscape features and may aid in conservation and biosecurity management protocols.
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