The mottled duck (Anas fulvigula) is nonmigratory and a priority species for regional conservation and management because of its limited range and declining population trajectory in the western Gulf Coast (WGC) of Louisiana and Texas, USA. We developed multistate dead-recovery models for banding and recovery data (1997–2020) to evaluate potential drivers of survival, recovery, and post-summer movements for the WGC population of mottled ducks in Louisiana and Texas. Annual survival was most strongly associated with sex and year, with females having lower survival ( ± = 0.544 ± 0.114) than males (0.619 ± 0.062). Of the 32 environmental covariates tested, fall precipitation was the factor most strongly associated with survival. Conditional recovery probability (i.e., given mortality, the probability a bird had been shot by a hunter, retrieved, and had their band number reported) varied by sex, age, geographic state, and year, with juvenile males generally having highest conditional recovery (0.303 ± 0.072), followed by juvenile females (0.201 ± 0.100), adult males (0.156 ± 0.038), and adult females (0.095 ± 0.057). Estimates of harvest probabilities followed similar patterns as conditional recovery. Models containing effects of harvest regulations on conditional recovery were not competitive compared to models with general year effects; however, post hoc analyses suggested conditional recovery and harvest probabilities for adult and juvenile females decreased with the daily bag limit reduction in Louisiana and, for juvenile females, implementation of the 5-day closure regulation in Texas. Post-summer movement was substantially higher in the direction of Texas to Louisiana, decreased with distance to the Louisiana–Texas border, was higher for males than females, and varied with winter precipitation. These results contribute to a better understanding of the factors influencing demographic performance, harvest, and movement between states with differing harvest regulations and environmental pressures, which is important for mottled duck conservation planning. Wildlife managers can consider expanding banding effort throughout the full range of the WGC population and collecting and reporting live-recapture data to allow for stronger population-level inferences and increased power to detect differences in important demographic parameters at more refined spatial scales.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70038","usgsCitation":"Malachowski, C., Kendall, W.L., Collins, D., Kraai, K.J., Olszak, J., and Reynolds, L., 2025, Factors associated with survival, recovery, and movements in the western Gulf Coast population of mottled ducks: Journal of Wildlife Management, v. 89, no. 6, e70038, 33 p., https://doi.org/10.1002/jwmg.70038.","productDescription":"e70038, 33 p.","ipdsId":"IP-168786","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70038","text":"Publisher Index Page"},{"id":492131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.98534654094911,\n 34.74317254350352\n ],\n [\n -99.98534654094911,\n 27.62034513580788\n ],\n [\n -89.48377067387685,\n 27.62034513580788\n ],\n [\n -89.48377067387685,\n 34.74317254350352\n ],\n [\n -99.98534654094911,\n 34.74317254350352\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Malachowski, Christopher P.","contributorId":357821,"corporation":false,"usgs":false,"family":"Malachowski","given":"Christopher P.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":942661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":942662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Daniel P.","contributorId":356157,"corporation":false,"usgs":false,"family":"Collins","given":"Daniel P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":942663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kraai, Kevin J.","contributorId":346855,"corporation":false,"usgs":false,"family":"Kraai","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":942664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olszak, Jason","contributorId":357822,"corporation":false,"usgs":false,"family":"Olszak","given":"Jason","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":942665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reynolds, Larry","contributorId":357824,"corporation":false,"usgs":false,"family":"Reynolds","given":"Larry","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":942666,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274299,"text":"70274299 - 2025 - Harnessing geospatial artificial intelligence and deep learning for landslide inventory mapping: Advances, challenges, and emerging directions","interactions":[],"lastModifiedDate":"2026-03-25T14:54:23.10639","indexId":"70274299","displayToPublicDate":"2025-05-25T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Harnessing geospatial artificial intelligence and deep learning for landslide inventory mapping: Advances, challenges, and emerging directions","docAbstract":"Recent advancements in artificial intelligence (AI) and deep learning enable more accurate, scalable, and automated mapping. This paper provides a comprehensive review of the applications of AI, particularly deep learning, in landslide inventory mapping. In addition to examining commonly used data sources and model architectures, we explore innovative strategies such as feature enhancement and fusion, attention-boosted techniques, and advanced learning approaches, including active learning and transfer learning, to enhance model adaptability and predictability. We also highlight the remaining challenges and potential research directions, including the estimation of more diverse variables in landslide mapping, multimodal data alignment, modeling regional variability and replicability, as well as issues related to data misinterpretation and model explainability. This review aims to serve as a useful resource for researchers and practitioners, promoting the integration of deep learning into landslide research and disaster management.
","language":"English","publisher":"MDPI","doi":"10.3390/rs17111856","usgsCitation":"Chen, X., Li, W., Hsu, C., Arundel, S.T., and Bretwood Higman, 2025, Harnessing geospatial artificial intelligence and deep learning for landslide inventory mapping: Advances, challenges, and emerging directions: Remote Sensing, v. 17, no. 11, 1856, 39 p., https://doi.org/10.3390/rs17111856.","productDescription":"1856, 39 p.","ipdsId":"IP-177148","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":501598,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs17111856","text":"Publisher Index Page"},{"id":501497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-05-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Chen, Xiao 0009-0009-8338-2983","orcid":"https://orcid.org/0009-0009-8338-2983","contributorId":367832,"corporation":false,"usgs":false,"family":"Chen","given":"Xiao","affiliations":[],"preferred":false,"id":957786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Wenwen 0000-0003-2237-9499","orcid":"https://orcid.org/0000-0003-2237-9499","contributorId":219356,"corporation":false,"usgs":false,"family":"Li","given":"Wenwen","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":957787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hsu, Chia-Yu","contributorId":367833,"corporation":false,"usgs":false,"family":"Hsu","given":"Chia-Yu","affiliations":[],"preferred":false,"id":957788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":957789,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bretwood Higman","contributorId":367834,"corporation":false,"usgs":false,"family":"Bretwood Higman","affiliations":[],"preferred":false,"id":957790,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268139,"text":"70268139 - 2025 - Reliability of satellite-based vegetation maps for planning wildfire-fuel treatments in shrub steppe: Inferences from two contrasting national parks","interactions":[],"lastModifiedDate":"2025-06-13T15:13:47.848984","indexId":"70268139","displayToPublicDate":"2025-05-24T07:58:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Reliability of satellite-based vegetation maps for planning wildfire-fuel treatments in shrub steppe: Inferences from two contrasting national parks","docAbstract":"Protecting habitat threatened by increasing wildfire size and frequency requires identifying the spatial intersection of wildfire behavior and ecological conditions that favor positive management outcomes. In the perennial sagebrush steppe of Western North America, invasions by fire-prone annual grasses are a key concern, and management of them requires reliable maps of vegetation cover, fuels, and wildfire behavior. We compared commonly used, publicly available vegetation cover and fuels maps, specifically the Rangeland Analysis Platform (RAP) and LANDFIRE, with field-based assessments at two U.S. National Parks dominated by sagebrush steppe: City of Rocks National Reserve and Craters of the Moon National Monument and Preserve. Plant-community composition and fuels measured at ∼1700 field locations spanning ∼300,000 ha revealed that 1) RAP generally underestimated each vegetation cover type where the cover was actually abundant, and conversely overestimated cover types where they were actually scarce, and 2) there was considerable disagreement in fuel-bed maps derived from LANDFIRE compared to field observations. As a result, there were substantial discrepancies in the spatial patterning of wildfire behavior estimated from the fire-spread model FLAMMAP when parameterized with LANDFIRE compared to field-based fuel-bed maps created from Random Forests models. Reliable maps of vegetation cover and fuel conditions are needed to help guide fuels and invasive species management, especially given recent increases in pre- and post-fire treatments in arid and semiarid landscapes. The costs associated with poorly informed fuel reduction may greatly exceed the costs of field-based vegetation and fuels inventory to inform effective design of vegetative fuels treatments.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2025.125808","usgsCitation":"Price, S.J., Kluender, C.R., Germino, M., and Rodhouse, T., 2025, Reliability of satellite-based vegetation maps for planning wildfire-fuel treatments in shrub steppe: Inferences from two contrasting national parks: Journal of Environmental Management, v. 387, 125808, 12 p., https://doi.org/10.1016/j.jenvman.2025.125808.","productDescription":"125808, 12 p.","ipdsId":"IP-171498","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":491010,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2025.125808","text":"Publisher Index Page"},{"id":490709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"City of Rocks National Reserve, Craters of the Moon National Monument and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.96306260051685,\n 43.328362893323686\n ],\n [\n -113.96306260051685,\n 41.98897016660578\n ],\n [\n -113.23331517169392,\n 41.98897016660578\n ],\n [\n -113.23331517169392,\n 43.328362893323686\n ],\n [\n -113.96306260051685,\n 43.328362893323686\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"387","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Price, Samuel J. 0000-0003-4172-4139","orcid":"https://orcid.org/0000-0003-4172-4139","contributorId":297001,"corporation":false,"usgs":true,"family":"Price","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":940323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kluender, Chad Raymond 0000-0002-4108-4437","orcid":"https://orcid.org/0000-0002-4108-4437","contributorId":296077,"corporation":false,"usgs":true,"family":"Kluender","given":"Chad","email":"","middleInitial":"Raymond","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":940325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":940324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodhouse, Thomas","contributorId":244880,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Thomas","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":940326,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267474,"text":"70267474 - 2025 - Using subducting plate motion to constrain Cascadia slab geometry and interface strength","interactions":[],"lastModifiedDate":"2025-05-27T14:21:59.500949","indexId":"70267474","displayToPublicDate":"2025-05-23T09:17:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Using subducting plate motion to constrain Cascadia slab geometry and interface strength","docAbstract":"Subduction zones are home to multiple geohazards driven by the evolution of the regional tectonics, including earthquakes, volcanic eruptions and landslides. Past evolution builds the present-day structure of the margin, while the present-day configuration of the system determines the state-of-stress in which individual hazardous events manifest. Regional simulations of subduction zones provide a tool to synthesize the tectonic history of a region and investigate how geologic features lead to variations in the state of stress across the subduction system. However, it is challenging to design regional models that provide a force-balance that is consistent with the large-scale motion of surrounding tectonic plates while also not over-constraining the solution. Here, we present new models for the Cascadia subduction zone that meet these criteria and demonstrate how the motion of the subducting Juan de Fuca plate can be used to determine the along-strike variations in the viscous (long-term) coupling across the plate boundary. All successful models require lower viscous coupling in the northern section of the trench compared to the central and southern sections. However, due to uncertainties in the geometry of the Cascadia slab, we find that there is a trade-off between along-strike variation in viscous coupling and slab shape. Better constraints on the slab shape, and/or use of other observations are needed to resolve this trade-off. The approach presented here provides a framework for further exploring how geologic features in the overriding plate and the properties of the plate boundary region affect the state-of-stress across this and other subduction zones.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GC011895","usgsCitation":"Fraters, M., Billen, M., Naliboff, J., Staisch, L.M., Watt, J., and Li, H., 2025, Using subducting plate motion to constrain Cascadia slab geometry and interface strength: Geochemistry, Geophysics, Geosystems, v. 26, no. 5, e2024GC011895, 32 p., https://doi.org/10.1029/2024GC011895.","productDescription":"e2024GC011895, 32 p.","ipdsId":"IP-175035","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":490152,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gc011895","text":"Publisher Index Page"},{"id":486574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Cascadia subduction zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -135,\n 52.5\n ],\n [\n -135,\n 37.5\n ],\n [\n -110,\n 37.5\n ],\n [\n -110,\n 52.5\n ],\n [\n -135,\n 52.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Fraters, Menno","contributorId":355883,"corporation":false,"usgs":false,"family":"Fraters","given":"Menno","affiliations":[{"id":84852,"text":"GFZ Research Center for Geosciences","active":true,"usgs":false}],"preferred":false,"id":938348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Billen, Magali","contributorId":333643,"corporation":false,"usgs":false,"family":"Billen","given":"Magali","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":938349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Naliboff, John","contributorId":355884,"corporation":false,"usgs":false,"family":"Naliboff","given":"John","affiliations":[{"id":7026,"text":"New Mexico Tech","active":true,"usgs":false}],"preferred":false,"id":938350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":938351,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watt, Janet 0000-0002-4759-3814","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":221271,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":938352,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Haoyuan","contributorId":355885,"corporation":false,"usgs":false,"family":"Li","given":"Haoyuan","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":938353,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70267491,"text":"70267491 - 2025 - Modeling individual-level and population-level nest success of California Condors from movement data","interactions":[],"lastModifiedDate":"2025-05-27T14:03:49.537407","indexId":"70267491","displayToPublicDate":"2025-05-23T08:44:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Modeling individual-level and population-level nest success of California Condors from movement data","docAbstract":"The California Condor (Gymnogyps californianus) is a critically endangered species with populations that are not currently self-sustaining. Although understanding nest success is key to understanding trends in their populations, field monitoring of condor nests has become increasingly challenging as the number of nesting condors has increased and their range has expanded. We investigated whether California Condor nest fate could be accurately estimated from telemetry data with limited field observations. Our study focused on the southern California population of California Condors (2015–2022), and we used a recently published Bayesian hierarchical modeling framework that combines movement data and occasional field observations to estimate individual-level and population-level nest success. The model detected shifts in space use to categorize if each nest failed or if a young fledged. Estimated model parameters suggested that after nest failure, condors shifted toward more expansive space use. Additional field observations, not included as data in the model, provided evidence that we accurately categorized nest fate for 63 out of 65 California Condor nesting attempts. Finally, we scaled individual-level reproductive success to estimate annual population-level nesting success. These methods offer managers a way to reduce field monitoring efforts while still allowing for estimation of nest success, which will be key as the breeding populations of California Condors continue to grow and become more widely spread across the landscape.
","language":"English","publisher":"Raptor Research Foundation","doi":"10.3356/jrr2464","usgsCitation":"Blackburn, A., Eisaguirre, J.M., Brandt, J.C., Punzalan, A., Mcmahon, L., Astell, M., Seal Faith, N., Meyer, D.J., and Sandhaus, E., 2025, Modeling individual-level and population-level nest success of California Condors from movement data: Journal of Raptor Research, v. 59, no. 3, jrr2464, 11 p., https://doi.org/10.3356/jrr2464.","productDescription":"jrr2464, 11 p.","ipdsId":"IP-169837","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":488102,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr2464","text":"Publisher Index Page"},{"id":486571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.32211025552813,\n 36.28940419433357\n ],\n [\n -120.00478872484904,\n 34.43478894822218\n ],\n [\n -118.61047283563802,\n 34.31101307176946\n ],\n [\n -117.16910974890232,\n 34.36199636242087\n ],\n [\n -117.12500300122358,\n 35.49657369871312\n ],\n [\n -118.83340436132296,\n 37.334518704354934\n ],\n [\n -121.32211025552813,\n 36.28940419433357\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Blackburn, Andrea","contributorId":355921,"corporation":false,"usgs":false,"family":"Blackburn","given":"Andrea","affiliations":[{"id":84857,"text":"Santa Barbara Zoo","active":true,"usgs":false}],"preferred":false,"id":938382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eisaguirre, Joseph Michael 0000-0002-0450-8472","orcid":"https://orcid.org/0000-0002-0450-8472","contributorId":301980,"corporation":false,"usgs":true,"family":"Eisaguirre","given":"Joseph","email":"","middleInitial":"Michael","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":938383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Joseph C.","contributorId":288474,"corporation":false,"usgs":false,"family":"Brandt","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":61768,"text":"U.S. Fish and Wildlife Service, Hopper Mountain National Wildlife Refuge Complex, Ventura, CA","active":true,"usgs":false}],"preferred":false,"id":938384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Punzalan, Arianna","contributorId":355922,"corporation":false,"usgs":false,"family":"Punzalan","given":"Arianna","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":938385,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mcmahon, Laura","contributorId":275577,"corporation":false,"usgs":false,"family":"Mcmahon","given":"Laura","email":"","affiliations":[],"preferred":false,"id":938386,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Astell, Molly","contributorId":199753,"corporation":false,"usgs":false,"family":"Astell","given":"Molly","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":938387,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seal Faith, Nadya E.","contributorId":355923,"corporation":false,"usgs":false,"family":"Seal Faith","given":"Nadya E.","affiliations":[{"id":84857,"text":"Santa Barbara Zoo","active":true,"usgs":false}],"preferred":false,"id":938388,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meyer, David J.","contributorId":149174,"corporation":false,"usgs":false,"family":"Meyer","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":938389,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sandhaus, Estelle A.","contributorId":355924,"corporation":false,"usgs":false,"family":"Sandhaus","given":"Estelle A.","affiliations":[{"id":84857,"text":"Santa Barbara Zoo","active":true,"usgs":false}],"preferred":false,"id":938390,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70267708,"text":"70267708 - 2025 - Optimizing the effectiveness of connectivity modifiers to reduce dryland degradation","interactions":[],"lastModifiedDate":"2025-08-04T15:49:49.145589","indexId":"70267708","displayToPublicDate":"2025-05-23T08:05:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing the effectiveness of connectivity modifiers to reduce dryland degradation","docAbstract":"Dryland degradation from unsustainable land use and increasing aridity often manifests as bare, interconnected areas that facilitate the loss or redistribution of resources (soil, seeds, and nutrients) through wind and run-off. Physical structures like branches and stick bundles, which disrupt these pathways and retain resources, are crucial for rehabilitation and restoration. Connectivity modifiers or ConMods, which are galvanized mesh structures that mimic low stature vegetation, are tools specifically designed to interrupt connected pathways and help reinforce overall site stability. Yet, how to effectively and consistently use ConMods to achieve site stability has not been thoroughly tested. Here, we used the Aeolian EROsion model to investigate the combined effects of ConMod height, porosity, and spacing on simulated horizontal sediment flux, a key indicator of site stability. We assessed ConMod performance as percent reduction in predicted sediment flux versus a bare, unvegetated 10,000 m2 area for a range of horizontal sediment flux. Additionally, in a field experiment, ConMods increased litter retention by up to 15.6 mm compared to bare ground plots, demonstrating their potential to enhance both soil stabilization and resource retention. These findings underscore the potential of ConMods as flexible, cost-effective tools that interrupt positive feedbacks to degradation and provide measurable benchmarks for restoration success.
","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.70055","usgsCitation":"Young, K., Edwards, B.L., Duniway, M.C., and Webb, N.P., 2025, Optimizing the effectiveness of connectivity modifiers to reduce dryland degradation: Restoration Ecology, v. 33, no. 6, e70055, 12 p., https://doi.org/10.1111/rec.70055.","productDescription":"e70055, 12 p.","ipdsId":"IP-167354","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":486734,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":488448,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.70055","text":"Publisher Index Page"}],"country":"United States","state":"Utah","otherGeospatial":"Canyonlands National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.03506777638498,\n 38.4673190723868\n ],\n [\n -110.03506777638498,\n 38.10519345942603\n ],\n [\n -109.53094559272262,\n 38.10519345942603\n ],\n [\n -109.53094559272262,\n 38.4673190723868\n ],\n [\n -110.03506777638498,\n 38.4673190723868\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"33","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Kristina E.","contributorId":195945,"corporation":false,"usgs":false,"family":"Young","given":"Kristina E.","affiliations":[],"preferred":false,"id":938595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Brandon L.","contributorId":215510,"corporation":false,"usgs":false,"family":"Edwards","given":"Brandon","email":"","middleInitial":"L.","affiliations":[{"id":39270,"text":"USDA-ARS Jornada Experimental Range, Las Cruces, NM 88003, USA","active":true,"usgs":false}],"preferred":false,"id":938596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":938597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webb, Nicholas P.","contributorId":195924,"corporation":false,"usgs":false,"family":"Webb","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[{"id":6973,"text":"USDA-ARS Jornada Experimental Range and Jornada Basin LTER, Las Cruces, NM; New Mexico State University, Dept. of Plant and Environmental Sciences, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":938598,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270824,"text":"70270824 - 2025 - Quality assessment of past spawning mark estimations from a long-term survey in the Connecticut River watershed","interactions":[],"lastModifiedDate":"2025-08-25T15:51:52.368614","indexId":"70270824","displayToPublicDate":"2025-05-22T10:46:24","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-168-2025","title":"Quality assessment of past spawning mark estimations from a long-term survey in the Connecticut River watershed","docAbstract":"The calcified structures of fishes provide insight into their periodic growth rates and can be combined with other biological variables to identify metrics such as size or age at maturity and mortality rates. Collecting this information on growth and life history can help evaluate the success of conservation efforts and inform future management decisions for a species in need. However, before these life history data can be applied to larger stock assessments that direct management decisions, confidence in the validity of the data needs to be reported through metrics of accuracy and precision. For this report, we assessed the bias and precision of paired reader estimations of spawning marks on scales of Blueback herring (Alosa aestivalis) collected in the U.S. Fish & Wildlife (USFWS) Annual Adult River Herring Stock Assessment for the lower Connecticut River basin. The paired reads on scales from a total of 8,698 fish over the ten years of the long term monitoring program were evaluated for the annual presence of systematic bias and precision using a combination of qualitative (i.e., frequency tables) and quantitative (i.e., Evan’s and Hoenig’s Test of Symmetry, and Coefficient of Variation (CV) calculations) analyses. While seven out of the ten survey years had systematic bias detected by the tests of symmetry, only three years (2013, 2016, 2018) had imprecision values >10% CV threshold. Data were further categorized into specific age classes within survey years to increase our resolution on where bias and imprecision was most prevalent. While the ability for accurate bias detection was limited by sufficient sample sizes (>25 fish), average imprecision values increased with age, and median age classes (4 through 6) commonly had bias detected. However, the removal of insufficient age classes prior to calculating average annual CV did not significantly change the initial average. Lastly, 2023, which was the first year to implement a standardized training procedure prior to production estimating, had the highest precision for both the annual average and specific age classes compared to all prior survey years. This standardized training procedure will continue to be used by USFWS for the lower Connecticut River tributaries, and can be modified for other river systems. Overall, this report’s results highlight the importance of assessing precision and encourage the standardization of spawning mark identification quality control and assurance for future studies. With more quality assessments and baseline information on precision and bias, there can be more beneficial discussion on defining thresholds and how to implement spawning history variability into catch curve analyses.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/css36742600","usgsCitation":"Stephens, J.B., Jordaan, A., Perkins, D., Sprankle, K., and Roy, A.H., 2025, Quality assessment of past spawning mark estimations from a long-term survey in the Connecticut River watershed: Cooperator Science Series CSS-168-2025, ii, 72 p., https://doi.org/10.3996/css36742600.","productDescription":"ii, 72 p.","ipdsId":"IP-176656","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":494748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Massachusetts","otherGeospatial":"Connecticut River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.96748212492314,\n 42.29494671693686\n ],\n [\n -72.95372317204433,\n 41.28995606733855\n ],\n [\n -72.16868601132036,\n 41.26947837383972\n ],\n [\n -72.16868601132036,\n 42.30090777357515\n ],\n [\n -72.96748212492314,\n 42.29494671693686\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2025-05-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephens, Jacqueline B.","contributorId":360502,"corporation":false,"usgs":false,"family":"Stephens","given":"Jacqueline","middleInitial":"B.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":947139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jordaan, Adrian","contributorId":257709,"corporation":false,"usgs":false,"family":"Jordaan","given":"Adrian","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":947140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, David","contributorId":342184,"corporation":false,"usgs":false,"family":"Perkins","given":"David","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":947141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sprankle, Kenneth","contributorId":349559,"corporation":false,"usgs":false,"family":"Sprankle","given":"Kenneth","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":947142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":947143,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268407,"text":"70268407 - 2025 - Foraging of wading birds on a patchy landscape: Simulating effects of social information, interference competition, and patch selection on prey intake and individual distribution","interactions":[],"lastModifiedDate":"2025-06-25T14:30:13.104344","indexId":"70268407","displayToPublicDate":"2025-05-21T09:26:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Foraging of wading birds on a patchy landscape: Simulating effects of social information, interference competition, and patch selection on prey intake and individual distribution","docAbstract":"Foragers on patchy landscapes must acquire sufficient resources despite uncertainty in the location and amount of the resources. Optimal Foraging Theory posits that foragers deal with this uncertainty by using strategies that optimize resource intake within foraging periods. For species such as wading birds, this optimization is closely linked to their survival and reproductive success. Understanding the influence of patch selection on individual resource intake and foraging distribution is therefore crucial. In this study, we simulated how resource distribution, interference competition, and social cues—such as aggregation behaviors—influence resource intake and foraging spatial distribution. We employed an individual-based model simulating wading bird foraging behaviors, with 900 individuals simultaneously foraging across a landscape with unknown resource distribution. Birds employed one of three patch-finding strategies: random, cue-searching, or hybrid, which uses both searching strategies. Each bird decided whether to remain in a patch based on a prey density threshold. We compared the daily resource intake and foraging distribution of birds across different modeled patch-finding strategies, resource distribution patterns, and the presence or absence of interference competition. Wading birds exhibiting aggregation behavior displayed increased intake rates when resources were concentrated and interference minimal. Aggregation behavior led to a closer match with the ideal free distribution when the prey density threshold was optimal. These findings provide theoretical support that aggregation behavior is effective in scenarios where resources are concentrated in a few patches, social cues are used by relatively few individuals, and interference competition is limited.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2025.111178","usgsCitation":"Lee, H.W., DeAngelis, D., Yurek, S., and Papastamatiou, Y., 2025, Foraging of wading birds on a patchy landscape: Simulating effects of social information, interference competition, and patch selection on prey intake and individual distribution: Ecological Modelling, v. 507, 111178, 14 p., https://doi.org/10.1016/j.ecolmodel.2025.111178.","productDescription":"111178, 14 p.","ipdsId":"IP-175552","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":491501,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2025.111178","text":"Publisher Index Page"},{"id":491277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"507","noUsgsAuthors":false,"publicationDate":"2025-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, Hyo Won","contributorId":292184,"corporation":false,"usgs":false,"family":"Lee","given":"Hyo","email":"","middleInitial":"Won","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":941239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":357336,"corporation":false,"usgs":false,"family":"DeAngelis","given":"Donald L.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":941240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216733,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":941241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Papastamatiou, Yannis P.","contributorId":356586,"corporation":false,"usgs":false,"family":"Papastamatiou","given":"Yannis P.","affiliations":[{"id":85026,"text":"Biological Sciences, Institute of Environment, Florida International University, 3000 NE 151st Street, 33181 North Miami (Florida), United States of America","active":true,"usgs":false}],"preferred":false,"id":941242,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267725,"text":"70267725 - 2025 - Bayesian ETAS modeling for the Pacific Northwest: Uncovering effects of tectonic regimes, regional differences, and swarms on aftershock parameters","interactions":[],"lastModifiedDate":"2025-09-22T15:18:36.884038","indexId":"70267725","displayToPublicDate":"2025-05-21T09:23:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian ETAS modeling for the Pacific Northwest: Uncovering effects of tectonic regimes, regional differences, and swarms on aftershock parameters","docAbstract":"The Pacific Northwest (PNW) of North America has high seismic hazard due to numerous earthquake sources under populated areas. It hosts several tectonic regimes and subregional seismic zones that are hypothesized to have different patterns of earthquake and aftershock occurrence. It is also predisposed to earthquake swarms, which can complicate the statistical modeling of these patterns. We present the first statistical seismicity model of the PNW catalog using the epidemic‐type aftershock sequence (ETAS) framework. We develop a Bayesian inference procedure that provides a stable estimation of both ETAS parameters and their uncertainties for different sets of PNW earthquakes, even those with very sparse catalogs. The Bayesian approach allows us to investigate how parameter estimates change between the intraslab and crustal tectonic regimes, the northern and southern PNW, and when swarms are included and excluded from the catalog. We also utilize our Bayesian framework to calculate parameter estimates under different prior beliefs about PNW seismicity, as well as to propagate catalog measurement errors into ETAS parameter estimates. We discuss the implications of parameter differences across the region for aftershock forecasting for the PNW.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240249","usgsCitation":"Schneider, M., Barall, M., Guttorp, P., Hardebeck, J.L., Michael, A.J., Page, M.T., and van der Elst, N., 2025, Bayesian ETAS modeling for the Pacific Northwest: Uncovering effects of tectonic regimes, regional differences, and swarms on aftershock parameters: Bulletin of the Seismological Society of America, v. 115, no. 5, p. 2219-2236, https://doi.org/10.1785/0120240249.","productDescription":"18 p.","startPage":"2219","endPage":"2236","ipdsId":"IP-170994","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":486723,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -133.48546091610666,\n 52.60993149081935\n ],\n [\n -127.12402970642239,\n 39.04184775255658\n ],\n [\n -117.3837323841093,\n 39.378962497073985\n ],\n [\n -117.06660127855778,\n 51.3962329850375\n ],\n [\n -133.48546091610666,\n 52.60993149081935\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Schneider, Max 0000-0003-2945-7904","orcid":"https://orcid.org/0000-0003-2945-7904","contributorId":340346,"corporation":false,"usgs":true,"family":"Schneider","given":"Max","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, Michael 0000-0001-7724-8563 mbarall@usgs.gov","orcid":"https://orcid.org/0000-0001-7724-8563","contributorId":271197,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guttorp, Peter","contributorId":350934,"corporation":false,"usgs":false,"family":"Guttorp","given":"Peter","affiliations":[{"id":83880,"text":"Norwegian Computing Center","active":true,"usgs":false}],"preferred":false,"id":938653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":254964,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":938655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":938656,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":938657,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70267676,"text":"70267676 - 2025 - Linking fire radiative power to land cover, fire history, and environmental setting in Alaska, 2003–2022","interactions":[],"lastModifiedDate":"2025-05-29T14:11:26.313587","indexId":"70267676","displayToPublicDate":"2025-05-21T09:06:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Linking fire radiative power to land cover, fire history, and environmental setting in Alaska, 2003–2022","docAbstract":"Fire radiative power (FRP) shows promise as a diagnostic and predictive indicator of fire behavior and post-fire effects in Alaska, USA.
To investigate relationships between FRP, vegetation functional groups, and environmental settings in Alaska (2003–2022) under various fire history conditions.
We tested for distinctness of MODIS FRP distributions associated with vegetation classes and fire legacies (frequency and number of previous burns). We used a random forest model to examine relative importance of vegetation class for FRP versus bottom-up biophysical and temporal parameters.
FRP distributions are statistically distinct among vegetation functional groups with contrasting fuel biomass, or within functional groups with contrasting burn characteristics. Location and topography, which constrain vegetation class, strongly determine FRP, and fire history is of lesser importance over the 19-year analysis period.
FRP can be used to identify wildfire consumption in dissimilar vegetation classes but is highly conditioned by geographic location. The complex and evolving vegetation composition of post-fire boreal landscapes precludes a clear association of expected FRP at distinct stages of recovery.
These results can inform further study of FRP as an indicator of fire behavior and fuel consumption and for informing dynamics of post-fire recovery across Alaska.
Digital flood-inundation map libraries for two reaches that constitute 14.8 miles of Little and Big Papillion Creeks in Omaha, Nebraska, were created by the U.S. Geological Survey (USGS) in cooperation with the Papio-Missouri River Natural Resource District. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at Little Papillion Creek at Irvington, Nebr. (USGS station 06610750), Little Papillion Creek at Ak-Sar-Ben at Omaha, Nebr. (USGS station 06610765), and Big Papillion Creek at Q Street at Omaha, Nebr. (USGS station 06610770) streamgages. Near-real-time stages at these streamgages may be obtained from the USGS National Water Information System database at https://doi.org/10.5066/F7P55KJN or from the National Weather Service Advanced Hydrologic Prediction Service at https://water.weather.gov/ahps/.
Flood profiles were computed for two different reaches that constitute 14.8 miles of stream length in the study area by using hydraulic models. The models were calibrated by adjusting roughness coefficients to best represent the current (2022) stage-streamflow relation at the streamgages within the study reach.
The hydraulic models were then used to compute water-surface profiles at 1-foot stage intervals for selected stage ranges to represent various flooding scenarios at the streamgages in each reach. The simulated water-surface profiles then were combined with a digital elevation model using a geographic information system, which had a 10-foot grid spacing to delineate the flooding extents and water depths for each stage. The availability of these flood-inundation maps, along with information regarding current stage from the USGS streamgages, can provide emergency management personnel and residents with information that is critical for flood response activities and post flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255032","collaboration":"Prepared in cooperation with the Papio-Missouri River Natural Resource District","usgsCitation":"Strauch, K.R., and Hoefer, B.R., 2025, Flood-inundation maps for 14.8 miles of Little and Big Papillion Creeks in Omaha, Nebraska, 2023: U.S. Geological Survey Scientific Investigations Report 2025–5032, 14 p., https://doi.org/10.3133/sir20255032.","productDescription":"Report: vi, 14 p.; Data Release; Dataset","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-152753","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":493771,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118579.htm","linkFileType":{"id":5,"text":"html"}},{"id":485915,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5032/coverthb.jpg"},{"id":485916,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5032/sir20255032.pdf","text":"Report","size":"2.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5032"},{"id":485920,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5032/sir20255032.XML"},{"id":485921,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5032/images/"},{"id":485922,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":485923,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OU7E42","text":"USGS data release","linkHelpText":"Flood-inundation geospatial datasets for 14.8 miles of the Little and Big Papillion Creeks in Omaha, Nebraska, 2023"},{"id":485924,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255032/full"}],"country":"United States","state":"Nebraska","city":"Omaha","otherGeospatial":"Little and Big Papillion Creeks","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.15305796306968,\n 41.36725587936067\n ],\n [\n -96.15305796306968,\n 41.117996650104345\n ],\n [\n -95.92667071234595,\n 41.117996650104345\n ],\n [\n -95.92667071234595,\n 41.36725587936067\n ],\n [\n -96.15305796306968,\n 41.36725587936067\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512
The Von Damm vent field (VDVF) on the Mid-Cayman Rise in the Caribbean Sea is unique among modern hydrothermal systems in that the chimneys and mounds are almost entirely composed of talc. We analyzed samples collected in 2020 and report that in addition to disordered talc of variable crystallinity, carbonates are a major class of mineral at VDVF. The carbonate minerals include aragonite, calcite, magnesium-rich calcite, and dolomite. Talc and carbonate mineral textures indicate that, rather than replacing volcanic host rock, they precipitate from the mixing of hydrothermal fluids and seawater at the seafloor, occurring in chimneys and surrounding rubble. Alternating precipitation of this mineral assemblage is pervasive, with carbonate minerals typically being succeeded by talc, and with indications that in some cases talc and carbonate minerals replace one another. Stable carbon isotopic data indicate the carbonate minerals originate from the mixing of seawater and hydrothermal fluid, which is supported by U-Th data. Radiocarbon calcite ages and talc 234U-230Th isochron ages indicate mineral ages spanning over thousands to tens of thousands of years. Analyses of these samples illustrate a dynamic system that transitions from carbonate-dominated to Mg-silicate−dominated precipitation over time scales of thousands of years. Our observations raise questions regarding the eventual fate of seafloor precipitates and whether carbonate and silicate minerals in such settings are sequestered and represented in the rock record.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G53228.1","usgsCitation":"Gartman, A., Blackburn, T., Frank, K., Lang, S., and Seewald, J., 2025, Kiloyear cycles of carbonate and Mg-silicate replacement at Von Damm hydrothermal vent field: Geology, v. 53, no. 8, p. 668-672, https://doi.org/10.1130/G53228.1.","productDescription":"5 p.","startPage":"668","endPage":"672","ipdsId":"IP-168945","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":486283,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":487010,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g53228.1","text":"Publisher Index Page"}],"volume":"53","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":938045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blackburn, Terrence 0000-0003-0029-0709","orcid":"https://orcid.org/0000-0003-0029-0709","contributorId":259241,"corporation":false,"usgs":false,"family":"Blackburn","given":"Terrence","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":938046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frank, Kiana","contributorId":355717,"corporation":false,"usgs":false,"family":"Frank","given":"Kiana","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":938047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lang, Susan Q.","contributorId":355719,"corporation":false,"usgs":false,"family":"Lang","given":"Susan Q.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":938048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seewald, Jeffrey S.","contributorId":58758,"corporation":false,"usgs":true,"family":"Seewald","given":"Jeffrey S.","affiliations":[],"preferred":false,"id":938049,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70267230,"text":"sir20235064G - 2025 - Peak streamflow trends in Montana and northern Wyoming and their relation to changes in climate, water years 1921–2020","interactions":[{"subject":{"id":70267230,"text":"sir20235064G - 2025 - Peak streamflow trends in Montana and northern Wyoming and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064G","publicationYear":"2025","noYear":false,"chapter":"G","displayTitle":"Peak Streamflow Trends in Montana and Northern Wyoming and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Montana and northern Wyoming and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":1}],"isPartOf":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"lastModifiedDate":"2026-01-26T19:13:21.257304","indexId":"sir20235064G","displayToPublicDate":"2025-05-19T13:20:42","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5064","chapter":"G","displayTitle":"Peak Streamflow Trends in Montana and Northern Wyoming and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Montana and northern Wyoming and their relation to changes in climate, water years 1921–2020","docAbstract":"Frequency analysis on annual peak streamflow (hereinafter, peak flow) is essential to water-resources management applications, including critical structure design (for example, bridges and culverts) and floodplain mapping. Nonstationarity is a statistical property of a peak-flow series such that the distributional properties (the mean, variance, or skew) change either gradually (monotonic trend) or abruptly (shift, step change or change point) through time. Not incorporating or accounting for observed nonstationarity into peak-flow frequency analysis might result in a poor representation of the true probability of large floods and thus misrepresent the actual flood risks to life and property. This report summarizes how hydroclimatic variability might affect the temporal and spatial distributions of peak-flow data in the State of Montana (and northern Wyoming) and is part of a larger study to document peak-flow nonstationarity and hydroclimatic changes across a nine-State region consisting of Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin. A wide range of analyses and statistical approaches are applied to document the primary mechanisms controlling floods and characterize temporal changes in hydroclimatic variables and peak flows. This study was completed in cooperation with the Montana Department of Natural Resources and Conservation.
The purpose of this report is to characterize temporal and spatial patterns of nonstationarity in peak flows and hydroclimatology in Montana and northern Wyoming. In this evaluation, peak-flow, daily streamflow, and model-simulated gridded climatic data were examined for monotonic trends, change points, and other statistical properties that might indicate changing climatic and environmental conditions. This report includes background information on the study area, the history of U.S. Geological Survey peak-flow data collection and frequency analysis in Montana, and the review of research relating to hydroclimatic variability and change in Montana. This study might help provide a framework for addressing potential nonstationarity issues in peak-flow frequency updates that commonly are completed by the U.S. Geological Survey in cooperation with other agencies throughout the Nation.
The analytical structure of this study includes analyses of monotonic trends and change points in numerous hydroclimatic variables in assigned 30-, 50-, 75-, and 100-year analysis periods. For Montana and part of Wyoming, the 30-, 50-, 75, and 100-year analyses included 157, 70, 48, and 12 streamgages, respectively. For those streamgages, nonstationarities were analyzed in the following variables: (1) climatic variables, including annual and seasonal (winter, spring, summer, and fall) temperature and precipitation; (2) daily streamflow variables, including the annual center of volume duration, annual center of volume median, and peaks over threshold with a mean of four events per year; and (3) annual peak-flow variables, including peak-flow timing and magnitude. A likelihood approach was used to express statistical confidence and assign the nonstationarity results as likely upward or downward (highest statistical confidence), somewhat likely upward or downward (less statistical confidence), or about as likely as not (little statistical confidence; hereinafter, neutral). For the nonstationarity analyses of the climatic, daily streamflow, and peak-flow variables, the results are presented in detail and discussed with respect to statewide patterns and geographic variability. For each of the 30-, 50-, and 75-year analyses, peak-flow change-point and monotonic trend analyses were compiled for streamgages classified with likely downward or likely upward trends. For those streamgages, the associated basin characteristics and nonstationarity results for peak-flow timing, daily streamflow, and climatic variables were investigated and statistically compared to discern associations among other variables that might contribute to the peak-flow nonstationarity results.
The 50- and 75-year peak-flow nonstationarities identified in this study are mostly downward, in association with mostly upward temperature and potential evapotranspiration:precipitation monotonic trends. For the 50-, 75-, and 100-year analyses, the peak-flow change points are predominantly downward and are concentrated in the 1970s and 1980s, which indicates general consistency among the longer trend periods. These findings are in association with substantial research documenting globally rising temperature and atmospheric greenhouse gas concentrations that might be largely attributed to anthropogenic activities. Anthropogenic effects might represent long-term (on the order of several decades to more than a century) climate changes that might happen within highly variable natural climate fluctuations. Several paleo studies in the north-central United States have indicated that hydroclimatic extremes (that is, low- and high-streamflow conditions) before European settlement have been outside of extremes since the 1900s. Depending on the interactions of anthropogenic effects and natural climate variability, extreme high-streamflow conditions might occur in the future, even in the presence of long-term downward peak-flow trends.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235064G","collaboration":"Prepared in cooperation with the Montana Department of Natural Resources and Conservation","usgsCitation":"Sando, S.K., Barth, N.A., Sando, R., and Chase, K.J., 2025, Peak streamflow trends in Montana and northern Wyoming and their relation to changes in climate, water years 1921–2020, chap. G of Ryberg, K.R., comp., Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin: U.S. Geological Survey Scientific Investigations Report 2023–5064, 129 p., https://doi.org/10.3133/sir20235064G.","productDescription":"Report: x, 129 p.; Data Release; Dataset","numberOfPages":"144","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-159092","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":486055,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5064/g/sir20235064g.pdf","text":"Report","size":"19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5064-G"},{"id":486054,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5064/g/coverthb.jpg"},{"id":486056,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5064/g/sir20235064g.XML"},{"id":486057,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5064/g/images/"},{"id":486059,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235064G/full"},{"id":499038,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118575.htm","linkFileType":{"id":5,"text":"html"}},{"id":486073,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":486058,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R71WWZ","text":"USGS data release","linkHelpText":"Peak streamflow data, climate data, and results from investigating hydroclimatic trends and climate change effects on peak streamflow in the Central United States, 1921–2020"}],"country":"United States","state":"Montana, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.16658108866669,\n 49\n ],\n [\n -116.16658108866669,\n 43\n ],\n [\n -104.0598539498924,\n 43\n ],\n [\n -104.0598539498924,\n 49\n ],\n [\n -116.16658108866669,\n 49\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601
We explore how and when Hells Canyon, North America’s deepest river gorge (~2,400 m deep), formed, addressing these fundamental questions first posed by W. Lindgren [The Gold Belt of the Blue Mountains of Oregon (1901)]. Existing hypotheses about the canyon’s formation and timing of incision remain speculative due to a lack of direct constraints and geomorphic analysis in the canyon. Herein, we combine cosmogenic nuclide dating of cave-bound river deposits, river profile analysis, and numerical modeling to provide the first direct age constraints and systematic analysis of incision processes at work in Hells Canyon. Our study reveals a significant drainage capture triggered rapid incision at ~2.1 ± 1.0 Ma, establishing the Snake River’s modern route into the Columbia River system. The increased drainage area and subsequent increase in stream power resulted in the rapid incision of Hells Canyon and the formation of tributary knickpoints (KPs) that decrease in elevation away from the capture location. Cosmogenic dating of cave deposits indicates incision rates increased from ~0.01 to ~0.16 mm y−1. Numerical modeling of the stream capture supports these observations, demonstrating how abrupt drainage area increase drives rapid river incision. Our findings from Hells Canyon provide a well-constrained example of how drainage capture can dramatically shape the evolution of a major river gorge.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2413069122","usgsCitation":"Morriss, M., Mitchell, N., Yanites, B., Staisch, L.M., and Korup, O., 2025, Cave records reveal recent origin of North America’s deepest canyon: Proceedings of the National Academy of Sciences, v. 122, no. 21, e2413069122, 9 p., https://doi.org/10.1073/pnas.2413069122.","productDescription":"e2413069122, 9 p.","ipdsId":"IP-167780","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":490153,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2413069122","text":"Publisher Index Page"},{"id":486579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon, Washington","otherGeospatial":"Hell's Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.54194789662489,\n 46.1007348974789\n ],\n [\n -117.54194789662489,\n 44.98900450879145\n ],\n [\n -116.26934949051348,\n 44.98900450879145\n ],\n [\n -116.26934949051348,\n 46.1007348974789\n ],\n [\n -117.54194789662489,\n 46.1007348974789\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"122","issue":"21","noUsgsAuthors":false,"publicationDate":"2025-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Morriss, Matthew","contributorId":355886,"corporation":false,"usgs":false,"family":"Morriss","given":"Matthew","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":938354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Nate","contributorId":355887,"corporation":false,"usgs":false,"family":"Mitchell","given":"Nate","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":938355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yanites, Brian","contributorId":91373,"corporation":false,"usgs":true,"family":"Yanites","given":"Brian","affiliations":[],"preferred":false,"id":938356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":938357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Korup, Oliver","contributorId":218071,"corporation":false,"usgs":false,"family":"Korup","given":"Oliver","email":"","affiliations":[{"id":39735,"text":"Institute of Earth and Environmental Science, University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":938358,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269525,"text":"70269525 - 2025 - Infrasonic directivity of monopole, dipole, and bipole ground-surface reflected sources","interactions":[],"lastModifiedDate":"2025-07-25T14:07:33.783578","indexId":"70269525","displayToPublicDate":"2025-05-19T09:06:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Infrasonic directivity of monopole, dipole, and bipole ground-surface reflected sources","docAbstract":"Infrasound (acoustic waves below 20 Hz) can be used to detect, locate and quantify activity in the atmosphere such as volcanic eruptions and anthropogenic explosions. Attempts to quantify volcanic eruption parameters such as exit velocity, plume height and mass flow rate using infrasound data depend strongly on assumptions of the acoustic source type. Infrasonic sources may produce omnidirectional or directional wavefields, while propagation effects, such as interaction with topography, can induce further wavefield directivity that is measured by field instrumentation. Limited sampling of these wavefields can hinder our ability to infer the underlying source, and thus our understanding of the eruption characteristics. Equivalent sources are often used to represent acoustic source mechanisms and resultant wavefields. In this study, we review equivalent acoustic sources as they pertain to infrasonic scale and wavelengths commonly encountered in very local (<5 km range) geophysical field deployments. We highlight the equivalent infrasonic bipole source that can be induced by ground-reflection of an elevated monopole; we are not aware of any prior infrasound studies that use the bipole source concept. We use analytical and numerical methods to explore source directivity of monopole, dipole and bipole ground-reflected sources at infrasonic frequencies as well as the additional directivity complications introduced by interactions with topography. We illustrate that for typical volcano-infrasound wavelengths, increasing height above the ground as well as increasing source frequency leads to increased wavefield directivity. Numerical modelling using a simple omnidirectional monopole source embedded in topography further illustrates that both horizontal and vertical infrasound directionality can be induced by topography at the distance scales appropriate for local volcano infrasound monitoring. Information summarized in this analytical and numerical exploration of infrasound directivity may be used to help guide future volcano-infrasound field deployments intended to estimate source parameters or quantify wavefield directivity. Analytic solutions for simple whole-space or half-space atmospheres provide useful formulations for planning or initially analysing geophysical field-scale experimental data; however, especially at very local distances from the source (<5 km), 3-D simulations are necessary to account for complex topography commonly encountered in volcano-infrasound applications.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggaf180","usgsCitation":"Iezzi, A.M., Matoza, R.S., Opper, E., and Kim, K., 2025, Infrasonic directivity of monopole, dipole, and bipole ground-surface reflected sources: Geophysical Journal International, v. 242, no. 2, ggaf180, 23 p., https://doi.org/10.1093/gji/ggaf180.","productDescription":"ggaf180, 23 p.","ipdsId":"IP-175386","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":493308,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggaf180","text":"Publisher Index Page"},{"id":492906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"242","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Iezzi, Alexandra M. 0000-0002-6782-7681","orcid":"https://orcid.org/0000-0002-6782-7681","contributorId":304206,"corporation":false,"usgs":true,"family":"Iezzi","given":"Alexandra","email":"","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":943967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matoza, Robin S.","contributorId":257265,"corporation":false,"usgs":false,"family":"Matoza","given":"Robin","email":"","middleInitial":"S.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":943968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Opper, Emma V.","contributorId":358570,"corporation":false,"usgs":false,"family":"Opper","given":"Emma V.","affiliations":[{"id":85657,"text":"Department of Applied Mathematics, University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":943969,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kim, Keehoon","contributorId":252842,"corporation":false,"usgs":false,"family":"Kim","given":"Keehoon","email":"","affiliations":[{"id":27196,"text":"LANL","active":true,"usgs":false}],"preferred":false,"id":943970,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267840,"text":"70267840 - 2025 - Cultivating reciprocity and supporting Indigenous lifeways through the cultural transformation of natural resource management in North America","interactions":[],"lastModifiedDate":"2025-06-04T13:50:11.217859","indexId":"70267840","displayToPublicDate":"2025-05-19T08:47:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5936,"text":"People and Nature","active":true,"publicationSubtype":{"id":10}},"title":"Cultivating reciprocity and supporting Indigenous lifeways through the cultural transformation of natural resource management in North America","docAbstract":"Objective
Nonnative fishes can modify ecosystems and harm economies when they are introduced to new environments. Climate change is likely to assist the spread and establishment of some nonnative fishes (e.g., warmwater species), but spatiotemporal gaps in water temperature monitoring and modeling may prevent ecologists and managers from forecasting thermal habitat suitability for these taxa. The purpose of this study was to develop a predictive model of winter water temperatures and thermal habitat suitability for two priority nonnative armored catfish, Vermiculated Sailfin Catfish Pterygoplichthys disjunctivus and Orinoco Sailfin Catfish P. multiradiatus, in the Suwannee River, Florida and Georgia.
Methods
Precipitation- and groundwater-corrected air–water temperature models were developed and evaluated using a model selection procedure to predict water temperatures at four sites in the Suwannee River. These models were chosen because they blend the simplicity of air–water temperature models with the accuracy of hydrometeorological models to create an efficient, economical, management-relevant approach for analyzing and forecasting water temperature.
Results
Most of the top-performing water temperature models (92%) had precipitation or groundwater corrections to air–water temperature formulations. Projected mean and maximum water temperatures increased as simulated climate change intensified. All four Suwannee River sites studied were projected to be thermally hospitable to the survival of Vermiculated Sailfin Catfish. Lower river sites, noticeably warmer than upper river sites, were conducive to the survival of Orinoco Sailfin Catfish throughout the winter months. The upper river sites were too cold for Orinoco Sailfin Catfish survival in some climate-change scenarios, but the Suwannee River has an abundance of constant-temperature springs that are likely hospitable to Vermiculated Sailfin Catfish and Orinoco Sailfin Catfish throughout the year.
Conclusions
The findings suggest that winter water temperatures will likely not be a barrier to the survival of Pterygoplichthys catfish in the Suwannee River, amplifying the importance of conservation and management approaches to inhibit their spread and establishment. If the Pterygoplichthys population remains small and isolated and decision makers are able to devote required staff time and resources to managing these species, removal and eradication at local if not broader scales may be reasonable goals. This study provides a water temperature modeling approach that can aid ecologists and managers in prioritizing sites to prevent the introduction, slow the dispersal, eradicate, and control Pterygoplichthys catfish and other nonnative fishes in the Suwannee River and beyond.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnaf018","usgsCitation":"Carlson, A.K., 2025, Protected from Pterygoplichthys? Predicting thermal habitat suitability for nonnative armored catfish in the Suwannee River: Transactions of the American Fisheries Society, v. 154, no. 4, p. 398-413, https://doi.org/10.1093/tafafs/vnaf018.","productDescription":"16 p.","startPage":"398","endPage":"413","ipdsId":"IP-171826","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/tafafs/vnaf018","text":"Publisher Index Page"},{"id":494386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia","otherGeospatial":"Suwannee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.76698997402998,\n 31.112972868570907\n ],\n [\n -83.18475784303796,\n 30.177311490235\n ],\n [\n -83.16967351009271,\n 29.211264445611363\n ],\n [\n -82.78703329930818,\n 29.017838843725343\n ],\n [\n -82.37936790717382,\n 30.074113688375725\n ],\n [\n -82.26360657954834,\n 31.112972868570907\n ],\n [\n -82.76698997402998,\n 31.112972868570907\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"154","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson, Andrew Kenneth 0000-0002-6681-0853","orcid":"https://orcid.org/0000-0002-6681-0853","contributorId":340581,"corporation":false,"usgs":true,"family":"Carlson","given":"Andrew","email":"","middleInitial":"Kenneth","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946650,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70267512,"text":"70267512 - 2025 - A joint Gaussian process model of geochemistry, geophysics, and temperature for groundwater TDS in the San Ardo Oil Field, California, USA","interactions":[],"lastModifiedDate":"2025-05-28T14:15:05.548599","indexId":"70267512","displayToPublicDate":"2025-05-18T09:08:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"A joint Gaussian process model of geochemistry, geophysics, and temperature for groundwater TDS in the San Ardo Oil Field, California, USA","docAbstract":"Although prevalent for the late Holocene, relative sea level (RSL) constraints during and immediately after the Last Glacial Maximum (LGM) are sparse. This scarcity of data is particularly pronounced along mid-latitude shelves such as central California, which lack post LGM RSL constraints older than 12 ka. In this study we collected 7 sediment cores and high-resolution seismic data from Estero Bay to constrain RSLs across the central California shelf between ∼9 and ∼16 ka. We reconstructed these RSLs using two sea-level indicators found within our sediment cores: the wave ravinement shell hash burial surface (WRSHBS) and the sedimentary contact between offshore mud facies and ripple cross-laminated sands. To determine the indicative meaning of these two sea-level indicators, we examined the relationship between the local wave regime, modern bathymetric profiles, and the depth of preservation of each sea-level indicator. After correcting for tectonic uplift, we estimated sea levels in central California to have been ∼39 ± 7.5 and 49 ± 7.5 m below present sea level between 9 and 12 ka, in agreement with previous RSL reconstructions along this coast. Between 13.8 and 15.9 ka, we estimate sea levels to have reached ∼86 ± 8–99 ± 8 m below present sea level. Our findings offer a Late Pleistocene RSL reconstruction for central California and develop new methodologies for estimating past RSLs on similar mid-latitude shelves.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2025.109408","usgsCitation":"Medri, E., Simms, A., Kluesner, J., Johnson, S., Nishenko, S., Greene, H., Conrad, J.E., and Rand, D., 2025, Reconstructing late Pleistocene relative sea levels on transgressed shelves: An example from central California: Quaternary Science Reviews, v. 361, 109408, 19 p., https://doi.org/10.1016/j.quascirev.2025.109408.","productDescription":"109408, 19 p.","ipdsId":"IP-175358","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491717,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2025.109408","text":"Publisher Index Page"},{"id":491527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"central California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.06130678370785,\n 35.50970569830827\n ],\n [\n -121.06130678370785,\n 35.40292660321283\n ],\n [\n -120.89512889522845,\n 35.40292660321283\n ],\n [\n -120.89512889522845,\n 35.50970569830827\n ],\n [\n -121.06130678370785,\n 35.50970569830827\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"361","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Medri, Elisa","contributorId":357458,"corporation":false,"usgs":false,"family":"Medri","given":"Elisa","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":941487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simms, Alexander","contributorId":357459,"corporation":false,"usgs":false,"family":"Simms","given":"Alexander","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":941488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kluesner, Jared W. 0000-0003-1701-8832","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":206367,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":941489,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Samuel Y. 0000-0001-7972-9977","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":221270,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":941490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nishenko, Stuart","contributorId":357460,"corporation":false,"usgs":false,"family":"Nishenko","given":"Stuart","affiliations":[{"id":64958,"text":"Pacific Gas and Electric","active":true,"usgs":false}],"preferred":false,"id":941491,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Greene, H. Gary","contributorId":357461,"corporation":false,"usgs":false,"family":"Greene","given":"H. Gary","affiliations":[{"id":6751,"text":"Moss Landing Marine Laboratories","active":true,"usgs":false}],"preferred":false,"id":941492,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":941493,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rand, Devin","contributorId":357462,"corporation":false,"usgs":false,"family":"Rand","given":"Devin","affiliations":[{"id":85424,"text":"Berkeley Earth","active":true,"usgs":false}],"preferred":false,"id":941494,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70265479,"text":"fs20253014 - 2025 - The 3D Elevation Program—Supporting New Mexico’s Economy","interactions":[],"lastModifiedDate":"2025-05-16T19:10:18.663225","indexId":"fs20253014","displayToPublicDate":"2025-05-16T11:11:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3014","title":"The 3D Elevation Program—Supporting New Mexico’s Economy","docAbstract":"Federal, State, Tribal, and local entities managing lands in New Mexico have concerns about wildfire risk, wildlife habitat, and flood risk. Land managers in urban areas along the Rio Grande corridor and in the State’s rural northwest and southeast also have concerns about existing and developing roads, buildings, and other infrastructure. Federal, State, Tribal, and local organizations actively manage and monitor New Mexico’s water resources. Critical applications that meet the State’s management needs depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features. The 3D Elevation Program (3DEP) is managed by the U.S. Geological Survey in partnership with Federal, State, Tribal, U.S. territorial, and local agencies to acquire consistent lidar coverage at quality level 2 or better to meet the many needs of the Nation and New Mexico. The status of available and in-progress 3DEP baseline lidar data in New Mexico is shown. 3DEP baseline lidar data include quality level 2 or better, 1-meter or better digital elevation models, and lidar point clouds, and must meet the Lidar Base Specification version 1.2 or newer requirements. The National Enhanced Elevation Assessment identified user requirements and conservatively estimated that availability of lidar data would result in at least $9.32 million in new benefits annually to the State.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253014","usgsCitation":"Lydic, C., 2025, The 3D Elevation Program—Supporting New Mexico’s economy: U.S. Geological Survey Fact Sheet 2025–3014, 2 p., https://doi.org/10.3133/fs20253014.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-157906","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":484282,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3014/fs20253014.pdf","text":"Report","size":"460 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3014 PDF"},{"id":484286,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3014/coverthb.jpg"},{"id":484293,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253014/full","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3014 HTML"},{"id":484294,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3014/fs20253014.XML","description":"FS 2025-3014 XML"},{"id":484297,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3014/images"}],"country":"United States","state":"New Mexico","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-105.998003,32.002328],[-106.099756,32.002492],[-106.125534,32.002533],[-106.18184,32.00205],[-106.200699,32.001785],[-106.205915,32.001762],[-106.313307,32.001512],[-106.376861,32.001172],[-106.377165,32.001177],[-106.394298,32.001484],[-106.411075,32.001334],[-106.565142,32.000736],[-106.566056,32.000759],[-106.587972,32.000749],[-106.595333,32.000778],[-106.598639,32.000754],[-106.599096,32.000731],[-106.618486,32.000495],[-106.619448,31.994733],[-106.623568,31.990999],[-106.631182,31.989809],[-106.636492,31.985719],[-106.639529,31.980348],[-106.638186,31.97682],[-106.630114,31.971258],[-106.626466,31.97069],[-106.623216,31.97291],[-106.621873,31.972933],[-106.619569,31.971578],[-106.618745,31.966955],[-106.619371,31.964777],[-106.620454,31.963403],[-106.624299,31.961054],[-106.625535,31.957476],[-106.625123,31.954531],[-106.622819,31.952891],[-106.617708,31.956008],[-106.614702,31.956],[-106.616136,31.948439],[-106.623659,31.94551],[-106.622377,31.940863],[-106.622117,31.936621],[-106.622529,31.934863],[-106.625322,31.930053],[-106.629747,31.92657],[-106.628663,31.923614],[-106.623933,31.925335],[-106.611846,31.920003],[-106.614346,31.918003],[-106.623445,31.914034],[-106.625947,31.912227],[-106.633668,31.90979],[-106.64084,31.904598],[-106.645479,31.89867],[-106.645646,31.895649],[-106.645296,31.894859],[-106.6429,31.892933],[-106.638154,31.891663],[-106.633927,31.889184],[-106.630692,31.886411],[-106.629197,31.883717],[-106.630799,31.879697],[-106.634873,31.874478],[-106.63588,31.871514],[-106.635926,31.866235],[-106.627808,31.860593],[-106.625763,31.856276],[-106.621857,31.852854],[-106.614637,31.84649],[-106.605845,31.846305],[-106.605245,31.845905],[-106.602045,31.844405],[-106.601945,31.839605],[-106.605267,31.827912],[-106.602727,31.825024],[-106.593826,31.824901],[-106.589045,31.822706],[-106.588045,31.822106],[-106.582144,31.815506],[-106.581344,31.813906],[-106.577244,31.810406],[-106.570944,31.810206],[-106.566844,31.813306],[-106.563444,31.812606],[-106.562945,31.811104],[-106.558444,31.810406],[-106.547144,31.807305],[-106.545344,31.805007],[-106.544714,31.804287],[-106.542144,31.802107],[-106.542097,31.802146],[-106.535843,31.798607],[-106.535343,31.797507],[-106.535154,31.797089],[-106.534743,31.796107],[-106.533043,31.791907],[-106.533,31.791829],[-106.53248,31.791914],[-106.530515,31.792103],[-106.527943,31.790507],[-106.527738,31.789761],[-106.527623,31.789119],[-106.527997,31.786945],[-106.528543,31.784407],[-106.528543,31.783907],[-106.750547,31.783706],[-106.750547,31.783898],[-106.993544,31.783689],[-106.998235,31.783671],[-107.00056,31.783679],[-107.00056,31.783513],[-107.296824,31.783762],[-107.422246,31.783599],[-107.422495,31.783599],[-108.208394,31.783599],[-108.208087,31.613489],[-108.208521,31.499798],[-108.208572,31.499742],[-108.208573,31.333395],[-108.707657,31.333191],[-108.788711,31.332365],[-108.851105,31.332301],[-108.861028,31.332315],[-109.050044,31.332502],[-109.050173,31.480004],[-109.049843,31.499515],[-109.049813,31.499528],[-109.049112,31.636598],[-109.049195,31.796551],[-109.048763,31.810776],[-109.049106,31.843715],[-109.048769,31.861383],[-109.04859,31.870791],[-109.048599,32.013651],[-109.048731,32.028174],[-109.048296,32.084093],[-109.048286,32.089114],[-109.047612,32.426377],[-109.047653,32.681379],[-109.047653,32.686327],[-109.047645,32.689988],[-109.047638,32.693439],[-109.047117,32.777569],[-109.047117,32.77757],[-109.04748,33.06842],[-109.047453,33.069427],[-109.046905,33.091931],[-109.047013,33.092917],[-109.047117,33.137559],[-109.047116,33.137995],[-109.047237,33.208965],[-109.04747,33.250063],[-109.046827,33.365272],[-109.046909,33.36557],[-109.047045,33.36928],[-109.04687,33.372654],[-109.046564,33.37506],[-109.047298,33.409783],[-109.046662,33.625055],[-109.047145,33.74001],[-109.046941,33.778233],[-109.046426,33.875052],[-109.047006,34.00005],[-109.046182,34.522393],[-109.046182,34.522553],[-109.046156,34.579291],[-109.046086,34.771016],[-109.045363,34.785406],[-109.046104,34.799981],[-109.045624,34.814226],[-109.046072,34.828566],[-109.045851,34.959718],[-109.046024,35.175499],[-109.046084,35.250025],[-109.046796,35.363606],[-109.046481,35.546326],[-109.046509,35.54644],[-109.046296,35.614251],[-109.046295,35.616517],[-109.046024,35.8798],[-109.046055,35.888721],[-109.046054,35.92586],[-109.046011,35.925896],[-109.045973,36.002338],[-109.045729,36.117028],[-109.046183,36.181751],[-109.045431,36.500001],[-109.045433,36.874589],[-109.045407,36.874998],[-109.045272,36.968871],[-109.045244,36.969489],[-109.045223,36.999084],[-108.958868,36.998913],[-108.954404,36.998906],[-108.620309,36.999287],[-108.619689,36.999249],[-108.379203,36.999459],[-108.320721,36.99951],[-108.320464,36.999499],[-108.2884,36.99952],[-108.288086,36.999555],[-108.250635,36.999561],[-108.249358,36.999015],[-108.000623,37.000001],[-107.481737,37.000005],[-107.420915,37.000005],[-107.420913,37.000005],[-106.877292,37.000139],[-106.869796,36.992426],[-106.750591,36.992461],[-106.675626,36.993123],[-106.661344,36.993243],[-106.628733,36.993161],[-106.628652,36.993175],[-106.617125,36.993004],[-106.617159,36.992967],[-106.500589,36.993768],[-106.47628,36.993839],[-106.343139,36.99423],[-106.293279,36.99389],[-106.248675,36.994288],[-106.247705,36.994266],[-106.201469,36.994122],[-106.006634,36.995343],[-105.997472,36.995417],[-105.996159,36.995418],[-105.71847,36.995846],[-105.716471,36.995849],[-105.66472,36.995874],[-105.62747,36.995679],[-105.533922,36.995875],[-105.512485,36.995777],[-105.508836,36.995895],[-105.465182,36.995991],[-105.447255,36.996017],[-105.442459,36.995994],[-105.41931,36.995856],[-105.251296,36.995605],[-105.220613,36.995169],[-105.155042,36.995339],[-105.1208,36.995428],[-105.029228,36.992729],[-105.000554,36.993264],[-104.73212,36.993484],[-104.732031,36.993447],[-104.645029,36.993378],[-104.625545,36.993599],[-104.624556,36.994377],[-104.519257,36.993766],[-104.338833,36.993535],[-104.250536,36.994644],[-104.007855,36.996239],[-103.734364,36.998041],[-103.733247,36.998016],[-103.155922,37.000232],[-103.086106,37.000174],[-103.002199,37.000104],[-103.002247,36.911587],[-103.001964,36.909573],[-103.002198,36.719427],[-103.002518,36.675186],[-103.002252,36.61718],[-103.002188,36.602716],[-103.002565,36.526588],[-103.002434,36.500397],[-103.041924,36.500439],[-103.041745,36.318267],[-103.041674,36.317534],[-103.040824,36.055231],[-103.041305,35.837694],[-103.042186,35.825217],[-103.041716,35.814072],[-103.041917,35.796441],[-103.041146,35.791583],[-103.041272,35.739274],[-103.041554,35.622487],[-103.042366,35.250056],[-103.042775,35.241237],[-103.042497,35.211862],[-103.042377,35.183156],[-103.042377,35.183149],[-103.042366,35.182786],[-103.042339,35.181922],[-103.042395,35.178573],[-103.042568,35.159318],[-103.042711,35.144735],[-103.0426,35.142766],[-103.04252,35.135596],[-103.043261,35.125058],[-103.042642,35.109913],[-103.042552,34.954101],[-103.042521,34.899546],[-103.042781,34.850243],[-103.04277,34.792224],[-103.042769,34.747361],[-103.042827,34.671188],[-103.043286,34.653099],[-103.043072,34.619782],[-103.043594,34.46266],[-103.043589,34.459774],[-103.043588,34.459662],[-103.043582,34.455657],[-103.043538,34.405463],[-103.043583,34.400678],[-103.043611,34.397105],[-103.043585,34.393716],[-103.043613,34.390442],[-103.043613,34.388679],[-103.043614,34.384969],[-103.04363,34.38469],[-103.043693,34.383578],[-103.043919,34.380916],[-103.043944,34.37966],[-103.043946,34.379555],[-103.043979,34.312764],[-103.043979,34.312749],[-103.043936,34.302585],[-103.043719,34.289441],[-103.043644,34.256903],[-103.043569,34.087947],[-103.043516,34.079382],[-103.043686,34.063078],[-103.043744,34.049986],[-103.043767,34.043545],[-103.043721,34.04232],[-103.043771,34.041538],[-103.043746,34.037294],[-103.043555,34.032714],[-103.043531,34.018014],[-103.043617,34.003633],[-103.04395,33.974629],[-103.044893,33.945617],[-103.045698,33.906299],[-103.045644,33.901537],[-103.046907,33.8503],[-103.047346,33.824675],[-103.049096,33.74627],[-103.049608,33.737766],[-103.050148,33.701971],[-103.050532,33.672408],[-103.051087,33.658186],[-103.051535,33.650487],[-103.051363,33.64195],[-103.051664,33.629489],[-103.05261,33.570599],[-103.056655,33.388438],[-103.056655,33.388416],[-103.057487,33.329477],[-103.057856,33.315234],[-103.059242,33.260371],[-103.05972,33.256262],[-103.060103,33.219225],[-103.063905,33.042055],[-103.06398,33.038693],[-103.064452,33.01029],[-103.064625,32.999899],[-103.064679,32.964373],[-103.064657,32.959097],[-103.064569,32.900014],[-103.064701,32.879355],[-103.064862,32.868346],[-103.064807,32.857696],[-103.064916,32.85726],[-103.064889,32.849359],[-103.064672,32.82847],[-103.064699,32.827531],[-103.064711,32.784593],[-103.064698,32.783602],[-103.064807,32.777303],[-103.064827,32.726628],[-103.064799,32.708694],[-103.064798,32.690761],[-103.064864,32.682647],[-103.064633,32.64642],[-103.064815,32.624537],[-103.064761,32.601863],[-103.064788,32.600397],[-103.064761,32.587983],[-103.064696,32.522193],[-103.064422,32.145006],[-103.064348,32.123041],[-103.064344,32.087051],[-103.064423,32.000518],[-103.085876,32.000465],[-103.088698,32.000453],[-103.215641,32.000513],[-103.267633,32.000475],[-103.267708,32.000324],[-103.270383,32.000326],[-103.278521,32.000419],[-103.326501,32.00037],[-103.722853,32.000208],[-103.748317,32.000198],[-103.875476,32.000554],[-103.980179,32.000125],[-104.024521,32.00001],[-104.531756,32.000117],[-104.531937,32.000311],[-104.640918,32.000396],[-104.643526,32.000443],[-104.847757,32.000482],[-104.918272,32.000496],[-105.077046,32.000579],[-105.078605,32.000533],[-105.11804,32.000485],[-105.131377,32.000524],[-105.132916,32.000518],[-105.14824,32.000485],[-105.15031,32.000497],[-105.153994,32.000497],[-105.390396,32.000607],[-105.427049,32.000638],[-105.428582,32.0006],[-105.429281,32.000577],[-105.731362,32.001564],[-105.750527,32.002206],[-105.854061,32.00235],[-105.886159,32.00197],[-105.9006,32.0021],[-105.998003,32.002328]]]},\"properties\":{\"name\":\"New Mexico\",\"nation\":\"USA \"}}]}","contact":"Director, National Geospatial Program
U.S. Geological Survey, MS 511
12201 Sunrise Valley Drive
Reston, VA 20192
Email: 3DEP@usgs.gov
","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-05-16","noUsgsAuthors":false,"publicationDate":"2025-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Lydic, Carol 0000-0001-8506-4086","orcid":"https://orcid.org/0000-0001-8506-4086","contributorId":353067,"corporation":false,"usgs":false,"family":"Lydic","given":"Carol","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":932800,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70266893,"text":"sir20255024 - 2025 - Managing water for birds—A tool for the Malheur National Wildlife Refuge, southeastern Oregon","interactions":[{"subject":{"id":70259779,"text":"70259779 - 2024 - Managing water for birds— A tool for the Malheur National Wildlife Refuge","indexId":"70259779","publicationYear":"2024","noYear":false,"title":"Managing water for birds— A tool for the Malheur National Wildlife Refuge"},"predicate":"SUPERSEDED_BY","object":{"id":70266893,"text":"sir20255024 - 2025 - Managing water for birds—A tool for the Malheur National Wildlife Refuge, southeastern Oregon","indexId":"sir20255024","publicationYear":"2025","noYear":false,"title":"Managing water for birds—A tool for the Malheur National Wildlife Refuge, southeastern Oregon"},"id":1}],"lastModifiedDate":"2025-05-21T13:47:31.053089","indexId":"sir20255024","displayToPublicDate":"2025-05-16T10:00:00","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":"2025-5024","displayTitle":"Managing Water for Birds—A Tool for the Malheur National Wildlife Refuge, Southeastern Oregon","title":"Managing water for birds—A tool for the Malheur National Wildlife Refuge, southeastern Oregon","docAbstract":"The “Water for Birds Tool” is a spreadsheet-based tool (using Microsoft Excel) designed to help resource managers assess the spatial extent and types of bird habitats in the Malheur National Wildlife Refuge, southeastern Oregon. The tool quantifies the areas of open water, partial water, and water depths on a monthly timescale during the irrigation season (April–July) from 2021 to 2024. This tool combines previously published datasets and models but also incorporates new measurements collected by partners. Results show that the relation between the amount of bird habitat and the extent (partial and open water) of Malheur Lake varies by bird guild. The Donner und Blitzen River supplied all or most of the surface water inflow to Malheur Lake during the analysis years, emphasizing the importance of informed management of the river. Additional gaging of inflows and diversions and better estimates of recharge and irrigated areas can help refine estimates of water use on the refuge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255024","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service, High Desert Partnership, and Oregon Watershed Enhancement Board","usgsCitation":"Smith, C.D., 2025, Managing water for birds—A tool for the Malheur National Wildlife Refuge, southeastern Oregon: U.S. Geological Survey Scientific Investigations Report 2025–5024, 21 p., https://doi.org/10.3133/sir20255024.\n[Supersedes preprint https://doi.org/10.32942/X2N03N.]","productDescription":"Report: vii, 21 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-169682","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":485975,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5024/images"},{"id":485974,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1AJAYVS","text":"USGS data release","description":"USGS data release","linkHelpText":"Water for Birds—A spreadsheet-based tool for the Malheur National Wildlife Refuge for irrigation months in 2021–2024"},{"id":485973,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255024/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5024"},{"id":485972,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5024/sir20255024.pdf","text":"Report","size":"3.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5024"},{"id":485971,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5024/coverthb2.jpg"},{"id":485976,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5024/sir20255024.XML"}],"country":"United States","state":"Oregon","otherGeospatial":"Malheur National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.5,\n 43.75\n ],\n [\n -119.5,\n 42.75\n ],\n [\n -118.5,\n 42.75\n ],\n [\n -118.5,\n 43.75\n ],\n [\n -119.5,\n 43.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
601 SW Second Avenue, Suite 1950
Portland, Oregon 97204
The U.S. Geological Survey and the U.S. Fish and Wildlife Service have developed a three-tiered strategy for monitoring eelgrass (Zostera marina) beds at Izembek Lagoon, Alaska, that targets different spatial and temporal scales. The broadest-scale monitoring (tier-1) uses satellite imagery about every 5 years to delineate the spatial extent of eelgrass beds throughout the lagoon. This report describes the most recent (mid-2020s) tier-1 eelgrass monitoring at Izembek Lagoon. The monitoring effort began by canvasing all satellite imagery collected during summer, under clear daytime skies and at low-tide, since the last tier-1 effort in 2006. Two eelgrass maps of Izembek Lagoon were generated by first creating maps of spectrally unique classes from two Sentinel-2 satellite images collected on July 1, 2016, and August 14, 2020, then attributing those spectral classes with information about eelgrass conditions based on field data. Specifically, maps depicting various eelgrass metrics, such as percentage of cover and modeled biomass, were generated using summaries of the ground data that spatially intersected each spectral class. Comparisons of the 2016 and 2020 Sentinel-2 maps showing eelgrass distributional extent, as well as a 2006 Landsat map, indicated that areas where eelgrass presence may have declined during 2006–20 were most prevalent in the central part of Izembek Lagoon. More recently, during 2016-20, areas of possible biomass decline were more prevalent in the southern part of the lagoon. Monitoring eelgrass conditions at Izembek Lagoon with satellite imagery and concurrent ground data allows conditions to be compared over time, but the influences of tide levels, growing season phenology, and spatiotemporal co-registration accuracy should be considered when designing and interpreting change detection analyses.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251007","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","programNote":"Land Management Research Program","usgsCitation":"Douglas, D.C., Fleming, M.D., Patil, V.P., and Ward, D.H., 2025, Mapping eelgrass (Zostera marina) cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery: U.S. Geological Survey Open-File Report 2025–1007, 30 p., https://doi.org/10.3133/ofr20251007. [Supersedes preprint https://doi.org/10.1101/2024.08.07.607047.]","productDescription":"Report: vii, 30 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-169599","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":485960,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1007/coverthb2.jpg"},{"id":485963,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1HLTAHD","text":"USGS data release","description":"USGS data release","linkHelpText":"Eelgrass (Zostera marina) maps from 2016 and 2020, at Izembek Lagoon, Alaska"},{"id":485961,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1007/ofr20251007.pdf","text":"Report","size":"10.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1007"},{"id":485962,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251007/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1007"},{"id":485964,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1007/images"},{"id":485965,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1007/ofr20251007.XML"}],"country":"United States","state":"Alaska","otherGeospatial":"Izembek Lagoon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -163.098854980302,\n 55.171004418891414\n ],\n [\n -162.87580882559715,\n 55.150219377165826\n ],\n [\n -162.79513255687405,\n 55.2819754305454\n ],\n [\n -162.63219813180595,\n 55.3494888427272\n ],\n [\n -162.52937543637472,\n 55.342292888511395\n ],\n [\n -162.47875503247008,\n 55.40162041992025\n ],\n [\n -162.50248334680037,\n 55.47879257840398\n ],\n [\n -162.74767592913727,\n 55.39443394016618\n ],\n [\n -162.92959300566955,\n 55.31259575418295\n ],\n [\n -163.098854980302,\n 55.171004418891414\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Alaska Science Center
U.S. Geological Survey
4210 University Drive
Anchorage, Alaska 99508
Chronic wasting disease (CWD) is a fatal neurodegenerative disease infecting cervids. It is highly contagious and caused by misfolded prions that propagate via templated conformational conversion of the cervid’s normal prion protein. Prevalence of CWD in free-ranging deer in North America is mostly low, but in some regions local prevalence has reached 80%. CWD prions can be transmitted via direct contact with infected individuals or indirectly through the environment. Infected individuals shed prions through feces, urine, saliva or carcasses, and prions have long environmental persistence. Long-distance dispersal of infected deer poses a significant risk for CWD spread. We propose an integrodifference equation (IDE) model to capture CWD dynamics and the consequences of long-distance dispersal behavior in white-tailed deer (WTD, Odocoileus virginianus). A diffusion-settling model characterizes long-distance dispersal kernels, accommodating hypothetical dispersal behaviors through time-dependent settling rate functions. Three new closed-form dispersal kernels are approximated using Laplace’s method and parameterized with GPS location data collected from WTD in Wisconsin, USA. Settling rates reflecting ongoing sensitivity to stimuli which prompt deer to disperse from their natal home range give the most supported long-distance dispersal kernel. Impact of long-distance dispersal on CWD spread is quantified using the IDE model. At high population densities, long-distance dispersal can magnify CWD spread by a factor of four. At lower population densities single infected individuals cannot initiate an outbreak, but CWD may still spread due to the accumulation of environmental hazard from prions behind the wave of invasion, possibly presenting substantial management challenges.
","language":"English","publisher":"Springer","doi":"10.1007/s11538-024-01394-x","usgsCitation":"Mennatallah, G., Powell, J., McClure, J., Walsh, D.P., and Storm, D., 2025, Characterization of the long-distance dispersal kernel of white-tailed deer and evaluating its impact on chronic wasting disease spread in Wisconsin: Bulletin of Mathematical Biology, v. 87, 52, https://doi.org/10.1007/s11538-024-01394-x.","productDescription":"52","ipdsId":"IP-166201","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":486515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-90.403306,47.026693],[-90.411972,47.014958],[-90.425351,47.007526],[-90.464079,46.994636],[-90.465465,47.002593],[-90.457688,47.012484],[-90.4553,47.02375],[-90.455502,47.051331],[-90.449572,47.064965],[-90.438734,47.072557],[-90.417272,47.07757],[-90.395367,47.077175],[-90.393342,47.066204],[-90.403306,47.026693]]],[[[-90.730883,46.873096],[-90.677989,46.897527],[-90.667776,46.890037],[-90.675239,46.881029],[-90.718547,46.864531],[-90.745356,46.83566],[-90.756052,46.830595],[-90.760991,46.838277],[-90.749816,46.861806],[-90.730883,46.873096]]],[[[-90.764857,46.946524],[-90.741417,46.9636],[-90.71511,46.957332],[-90.694487,46.93671],[-90.689302,46.918563],[-90.737107,46.914712],[-90.764857,46.946524]]],[[[-90.568938,46.847391],[-90.58505,46.839789],[-90.613569,46.837958],[-90.673838,46.819684],[-90.683356,46.813275],[-90.685753,46.805003],[-90.652916,46.797755],[-90.65892,46.7885],[-90.696465,46.78204],[-90.716456,46.785418],[-90.7625,46.755547],[-90.787751,46.753301],[-90.783086,46.772939],[-90.790965,46.781373],[-90.790231,46.786103],[-90.733231,46.800183],[-90.720932,46.815897],[-90.656946,46.843476],[-90.622048,46.872872],[-90.602619,46.872715],[-90.568938,46.847391]]],[[[-90.572383,46.958835],[-90.528182,46.968396],[-90.508157,46.956836],[-90.524018,46.935714],[-90.539947,46.92785],[-90.543852,46.918289],[-90.549104,46.915461],[-90.569169,46.920309],[-90.637124,46.906724],[-90.64412,46.908373],[-90.654796,46.919249],[-90.634507,46.942944],[-90.572383,46.958835]]],[[[-87.335299,45.211327],[-87.331962,45.199251],[-87.33622,45.173174],[-87.327284,45.157363],[-87.376777,45.177298],[-87.375403,45.199296],[-87.335299,45.211327]]],[[[-90.962901,46.962028],[-90.980316,46.971578],[-90.98222,46.985417],[-90.949383,46.991208],[-90.939866,47.001321],[-90.928563,47.000726],[-90.923764,46.987928],[-90.932132,46.962655],[-90.962901,46.962028]]],[[[-90.757147,47.03372],[-90.688544,47.043347],[-90.643623,47.041177],[-90.608824,47.007558],[-90.560936,47.037013],[-90.544875,47.017383],[-90.552867,46.999686],[-90.609715,46.991208],[-90.634105,46.970983],[-90.671581,46.948973],[-90.712032,46.98526],[-90.767985,47.002327],[-90.776921,47.024324],[-90.757147,47.03372]]],[[[-87.405658,44.860098],[-87.384821,44.865532],[-87.385396,44.889964],[-87.406199,44.90449],[-87.393752,44.933751],[-87.374805,44.956631],[-87.360288,44.987643],[-87.322117,45.034201],[-87.264877,45.081361],[-87.257449,45.121644],[-87.240813,45.137559],[-87.242924,45.149377],[-87.238426,45.166492],[-87.224065,45.174551],[-87.21437,45.165735],[-87.195876,45.163201],[-87.17517,45.173],[-87.163169,45.185331],[-87.13303,45.192843],[-87.119972,45.191103],[-87.122708,45.221786],[-87.109541,45.255397],[-87.078316,45.265723],[-87.071035,45.280355],[-87.057627,45.292838],[-87.0517,45.285888],[-87.043895,45.284767],[-87.017036,45.299254],[-86.994112,45.298061],[-86.97778,45.290684],[-86.970355,45.278455],[-86.984938,45.259036],[-86.983066,45.250764],[-86.973287,45.246381],[-86.985973,45.215872],[-87.002806,45.211773],[-87.00754,45.222127],[-87.032521,45.222274],[-87.040909,45.211535],[-87.045242,45.158798],[-87.030225,45.147382],[-87.03292,45.141963],[-87.045748,45.134987],[-87.054282,45.120074],[-87.049346,45.110122],[-87.048213,45.089124],[-87.057415,45.087472],[-87.064864,45.078427],[-87.079552,45.070783],[-87.081866,45.059103],[-87.090849,45.055465],[-87.121156,45.058311],[-87.139384,45.012565],[-87.163477,45.004913],[-87.189134,44.969078],[-87.188399,44.94856],[-87.17524,44.939753],[-87.1717,44.931476],[-87.204238,44.916819],[-87.215808,44.906744],[-87.217171,44.898013],[-87.206285,44.885928],[-87.204815,44.877199],[-87.267061,44.847025],[-87.282561,44.814729],[-87.304824,44.804603],[-87.313363,44.794237],[-87.320397,44.784963],[-87.319903,44.769672],[-87.353789,44.701915],[-87.401629,44.631191],[-87.437751,44.604559],[-87.467089,44.553557],[-87.483696,44.511354],[-87.490024,44.477224],[-87.498662,44.460686],[-87.506362,44.423804],[-87.517965,44.394356],[-87.517597,44.375696],[-87.533583,44.351111],[-87.545382,44.321385],[-87.541382,44.294018],[-87.508457,44.229755],[-87.507419,44.210803],[-87.512903,44.192808],[-87.51966,44.17987],[-87.53994,44.15969],[-87.563181,44.144195],[-87.603572,44.13039],[-87.6458,44.105222],[-87.654935,44.082552],[-87.656062,44.051919],[-87.683361,44.020139],[-87.695053,43.990715],[-87.69892,43.965936],[-87.71817,43.939498],[-87.735436,43.882219],[-87.728698,43.852524],[-87.726408,43.810454],[-87.700251,43.76735],[-87.702985,43.749695],[-87.709885,43.735795],[-87.702685,43.687596],[-87.789105,43.564844],[-87.797608,43.52731],[-87.793239,43.492783],[-87.807799,43.461136],[-87.855608,43.405441],[-87.872504,43.380178],[-87.882392,43.352099],[-87.889207,43.307652],[-87.901847,43.284117],[-87.911787,43.250406],[-87.896286,43.197108],[-87.881085,43.170609],[-87.900285,43.13731],[-87.900496,43.126],[-87.893185,43.114011],[-87.876084,43.099011],[-87.866487,43.074419],[-87.870184,43.064412],[-87.894813,43.042497],[-87.898184,43.030689],[-87.896157,43.017486],[-87.887789,43.000715],[-87.857182,42.978015],[-87.845181,42.962015],[-87.842786,42.944865],[-87.847745,42.889595],[-87.824,42.836649],[-87.766675,42.784896],[-87.781949,42.74857],[-87.778824,42.728432],[-87.783489,42.705164],[-87.802377,42.676651],[-87.814674,42.64402],[-87.819407,42.617327],[-87.819374,42.60662],[-87.810873,42.58732],[-87.812273,42.52982],[-87.800477,42.49192],[-88.115285,42.496219],[-88.786681,42.491983],[-89.690088,42.505191],[-90.640927,42.508302],[-90.636727,42.518702],[-90.645627,42.5441],[-90.654127,42.5499],[-90.661527,42.567999],[-90.685487,42.589614],[-90.693999,42.614509],[-90.709204,42.636078],[-90.769495,42.651443],[-90.88743,42.67247],[-90.921155,42.685406],[-90.949213,42.685573],[-90.977735,42.696816],[-91.000128,42.716189],[-91.026786,42.724228],[-91.035418,42.73734],[-91.053733,42.738238],[-91.056297,42.747341],[-91.065783,42.753387],[-91.060261,42.761847],[-91.069549,42.769628],[-91.078097,42.806526],[-91.078665,42.827678],[-91.09406,42.830813],[-91.091402,42.84986],[-91.097656,42.859871],[-91.100565,42.883078],[-91.115512,42.894672],[-91.14556,42.90798],[-91.144315,42.926592],[-91.149784,42.940244],[-91.14655,42.963345],[-91.156562,42.978226],[-91.15749,42.991475],[-91.174692,43.038713],[-91.179457,43.067427],[-91.175193,43.103771],[-91.177932,43.128875],[-91.175253,43.134665],[-91.1562,43.142945],[-91.1462,43.152405],[-91.12217,43.197255],[-91.066398,43.239293],[-91.059684,43.248566],[-91.058644,43.257679],[-91.072649,43.262129],[-91.07371,43.274746],[-91.107237,43.313645],[-91.137343,43.329757],[-91.181115,43.345926],[-91.201847,43.349103],[-91.21477,43.365874],[-91.19767,43.395334],[-91.203144,43.419805],[-91.22875,43.445537],[-91.233367,43.455168],[-91.216035,43.481142],[-91.217353,43.512474],[-91.232941,43.523967],[-91.243183,43.540309],[-91.24382,43.54913],[-91.232812,43.564842],[-91.231865,43.581822],[-91.268748,43.615348],[-91.268457,43.627352],[-91.262397,43.64176],[-91.270767,43.65308],[-91.273252,43.666623],[-91.268455,43.709824],[-91.255932,43.729849],[-91.255431,43.744876],[-91.243955,43.773046],[-91.262436,43.792166],[-91.277695,43.837741],[-91.284138,43.847065],[-91.310991,43.867381],[-91.320605,43.888491],[-91.338141,43.897664],[-91.346271,43.910074],[-91.356741,43.916564],[-91.366642,43.937463],[-91.385785,43.954239],[-91.406011,43.963929],[-91.43738,43.999962],[-91.463515,44.009041],[-91.478498,44.00803],[-91.507121,44.01898],[-91.580019,44.026925],[-91.59207,44.031372],[-91.610487,44.04931],[-91.638115,44.063285],[-91.647873,44.064109],[-91.667006,44.086964],[-91.68153,44.0974],[-91.707491,44.103906],[-91.710597,44.12048],[-91.721552,44.130342],[-91.751747,44.134786],[-91.774486,44.147539],[-91.808064,44.159262],[-91.817302,44.164235],[-91.829167,44.17835],[-91.875158,44.200575],[-91.877429,44.212921],[-91.892698,44.231105],[-91.88704,44.251772],[-91.896008,44.262871],[-91.895652,44.273008],[-91.924613,44.291815],[-91.913534,44.311392],[-91.918625,44.322671],[-91.92559,44.333548],[-91.941311,44.340978],[-91.9636,44.362112],[-92.038147,44.388731],[-92.056486,44.402729],[-92.078605,44.404869],[-92.111085,44.413948],[-92.124513,44.422115],[-92.195378,44.433792],[-92.232472,44.445434],[-92.291005,44.485464],[-92.302215,44.500298],[-92.302466,44.516487],[-92.314071,44.538014],[-92.336114,44.554004],[-92.361518,44.558935],[-92.399281,44.558292],[-92.431101,44.565786],[-92.455105,44.561886],[-92.481001,44.568276],[-92.493808,44.566063],[-92.518358,44.575183],[-92.54806,44.567792],[-92.55151,44.571607],[-92.549777,44.58113],[-92.569434,44.603539],[-92.577148,44.605054],[-92.584711,44.599861],[-92.601516,44.612052],[-92.621456,44.615017],[-92.619779,44.634195],[-92.632105,44.649027],[-92.660988,44.660884],[-92.700948,44.693751],[-92.737259,44.717155],[-92.787906,44.737432],[-92.807317,44.750364],[-92.805287,44.768361],[-92.785206,44.792303],[-92.78043,44.812589],[-92.766102,44.834966],[-92.76909,44.861997],[-92.764133,44.875905],[-92.773946,44.889997],[-92.774571,44.898084],[-92.758701,44.908979],[-92.750645,44.937299],[-92.754603,44.955767],[-92.769445,44.97215],[-92.771231,45.001378],[-92.76206,45.02432],[-92.770362,45.033803],[-92.793282,45.047178],[-92.803079,45.060978],[-92.800851,45.069477],[-92.791528,45.079647],[-92.746749,45.107051],[-92.739528,45.116515],[-92.745694,45.123112],[-92.757707,45.155466],[-92.752542,45.171772],[-92.764872,45.182812],[-92.767408,45.190166],[-92.763908,45.204866],[-92.751708,45.218666],[-92.760249,45.2496],[-92.751659,45.26591],[-92.760615,45.278827],[-92.761013,45.289028],[-92.737122,45.300459],[-92.709968,45.321302],[-92.698967,45.336374],[-92.703705,45.35633],[-92.679193,45.37271],[-92.669505,45.389111],[-92.650422,45.398507],[-92.646602,45.441635],[-92.652698,45.454527],[-92.680234,45.464344],[-92.702224,45.493046],[-92.726677,45.514462],[-92.726082,45.541112],[-92.770223,45.566939],[-92.785741,45.567888],[-92.823309,45.560934],[-92.871082,45.567581],[-92.883749,45.575483],[-92.886442,45.598679],[-92.882529,45.610216],[-92.888035,45.624959],[-92.887929,45.639006],[-92.875488,45.689014],[-92.870145,45.696757],[-92.869193,45.717568],[-92.809837,45.744172],[-92.784621,45.764196],[-92.776496,45.790014],[-92.757815,45.806574],[-92.765146,45.830183],[-92.739991,45.846283],[-92.734039,45.868108],[-92.712503,45.891705],[-92.676607,45.90637],[-92.676807,45.91093],[-92.659549,45.922937],[-92.639116,45.924555],[-92.640115,45.932478],[-92.636316,45.934634],[-92.614314,45.934529],[-92.60246,45.940815],[-92.551933,45.951651],[-92.549806,45.967986],[-92.527052,45.983245],[-92.469354,45.973811],[-92.46126,45.979427],[-92.464512,45.985038],[-92.453373,45.992913],[-92.442259,46.016177],[-92.428555,46.024241],[-92.410649,46.027259],[-92.372717,46.014198],[-92.35176,46.015685],[-92.344244,46.02743],[-92.343604,46.040917],[-92.332912,46.062697],[-92.294033,46.074377],[-92.292192,46.666042],[-92.287392,46.667342],[-92.286192,46.660342],[-92.274392,46.657441],[-92.270592,46.650741],[-92.256592,46.658741],[-92.242493,46.649241],[-92.228492,46.652941],[-92.216392,46.649841],[-92.207092,46.651941],[-92.202292,46.655041],[-92.204092,46.666941],[-92.176091,46.686341],[-92.183091,46.695241],[-92.198491,46.696141],[-92.205192,46.698341],[-92.205692,46.702541],[-92.189091,46.717541],[-92.167291,46.719941],[-92.146291,46.71594],[-92.141291,46.72524],[-92.14329,46.73464],[-92.13789,46.73954],[-92.108777,46.749105],[-92.08949,46.74924],[-92.03399,46.708939],[-92.020289,46.704039],[-92.007989,46.705039],[-91.961889,46.682539],[-91.942988,46.679939],[-91.886963,46.690211],[-91.820027,46.690176],[-91.790473,46.694624],[-91.74965,46.709129],[-91.646146,46.734575],[-91.590684,46.754331],[-91.511077,46.757453],[-91.489125,46.766997],[-91.44957,46.773252],[-91.411799,46.78964],[-91.369387,46.793745],[-91.33825,46.817704],[-91.315061,46.826729],[-91.256873,46.836833],[-91.226796,46.86361],[-91.207524,46.865835],[-91.200107,46.854017],[-91.178292,46.844259],[-91.168297,46.844727],[-91.140301,46.873105],[-91.133337,46.870341],[-91.134977,46.859023],[-91.107323,46.857469],[-91.096565,46.86153],[-91.090916,46.88267],[-91.080951,46.883609],[-91.069331,46.878772],[-91.052991,46.881325],[-91.03989,46.88923],[-91.034518,46.903053],[-91.019141,46.911502],[-90.995149,46.917577],[-90.968419,46.94391],[-90.92204,46.931372],[-90.914044,46.933346],[-90.908654,46.941221],[-90.880358,46.957661],[-90.855874,46.962232],[-90.838814,46.957728],[-90.786595,46.927019],[-90.75563,46.899247],[-90.751151,46.887863],[-90.77017,46.876296],[-90.798545,46.823922],[-90.825696,46.803858],[-90.835008,46.790366],[-90.854916,46.788952],[-90.863542,46.780565],[-90.859724,46.774433],[-90.862333,46.768135],[-90.885021,46.756341],[-90.870396,46.723293],[-90.853225,46.70028],[-90.853644,46.694464],[-90.870079,46.679449],[-90.914619,46.659054],[-90.924487,46.625417],[-90.93831,46.608768],[-90.951418,46.600774],[-90.942101,46.588573],[-90.906058,46.58343],[-90.873154,46.601223],[-90.794775,46.624941],[-90.770192,46.636127],[-90.755381,46.646225],[-90.756495,46.664591],[-90.74809,46.669817],[-90.73726,46.692267],[-90.627885,46.623839],[-90.558141,46.586384],[-90.538346,46.581182],[-90.505909,46.589614],[-90.437596,46.561492],[-90.418136,46.566094],[-90.39332,46.532615],[-90.369964,46.540549],[-90.350121,46.537337],[-90.344338,46.552087],[-90.331887,46.553278],[-90.326686,46.54615],[-90.320428,46.546287],[-90.310859,46.539365],[-90.316983,46.517319],[-90.285707,46.518846],[-90.277131,46.524487],[-90.272599,46.521127],[-90.274721,46.515416],[-90.270684,46.508237],[-90.263018,46.502777],[-90.231587,46.509842],[-90.230324,46.501732],[-90.216594,46.501759],[-90.204009,46.478175],[-90.188996,46.469015],[-90.193294,46.463143],[-90.180336,46.456746],[-90.17786,46.440548],[-90.166919,46.439851],[-90.158603,46.422656],[-90.157851,46.409291],[-90.144359,46.390255],[-90.13225,46.381249],[-90.133871,46.371828],[-90.116844,46.355153],[-90.12138,46.338131],[-89.09163,46.138505],[-88.85027,46.040274],[-88.837991,46.030176],[-88.811948,46.021609],[-88.79646,46.023605],[-88.80067,46.030036],[-88.796182,46.033712],[-88.779221,46.031869],[-88.783891,46.020934],[-88.779915,46.015436],[-88.765208,46.022086],[-88.756295,46.020173],[-88.746422,46.025798],[-88.730675,46.026535],[-88.721125,46.022013],[-88.718397,46.013284],[-88.704687,46.018154],[-88.679132,46.013538],[-88.661312,45.988819],[-88.6375,45.98496],[-88.616405,45.9877],[-88.611466,46.003332],[-88.60144,46.017599],[-88.59386,46.015132],[-88.589755,46.005602],[-88.565485,46.015708],[-88.550756,46.012896],[-88.541078,46.013763],[-88.533825,46.020915],[-88.514601,46.019926],[-88.507188,46.0183],[-88.498108,45.99636],[-88.492495,45.992157],[-88.476002,45.992826],[-88.470855,46.001004],[-88.458658,45.999391],[-88.450325,45.990181],[-88.439733,45.990456],[-88.416914,45.975323],[-88.388847,45.982675],[-88.380183,45.991654],[-88.330137,45.965951],[-88.330296,45.956625],[-88.326953,45.955071],[-88.316894,45.960969],[-88.292381,45.951115],[-88.250133,45.963147],[-88.246307,45.962983],[-88.242518,45.950363],[-88.23314,45.947405],[-88.201852,45.945173],[-88.202116,45.949836],[-88.191991,45.95274],[-88.170096,45.93947],[-88.146352,45.935314],[-88.121864,45.92075],[-88.104686,45.922121],[-88.096496,45.917273],[-88.095354,45.913895],[-88.105677,45.904387],[-88.101814,45.883504],[-88.095841,45.880042],[-88.083965,45.881186],[-88.073944,45.875593],[-88.075146,45.864832],[-88.081641,45.865087],[-88.13611,45.819029],[-88.129461,45.809288],[-88.105355,45.800104],[-88.103247,45.791361],[-88.072091,45.780261],[-88.050634,45.780972],[-88.040221,45.789236],[-87.991447,45.795393],[-87.98087,45.776977],[-87.989829,45.772945],[-87.96697,45.764021],[-87.963452,45.75822],[-87.905873,45.759364],[-87.896032,45.752285],[-87.875813,45.753888],[-87.864141,45.745697],[-87.86432,45.737139],[-87.85548,45.726943],[-87.805867,45.706841],[-87.809181,45.700337],[-87.782226,45.683053],[-87.780737,45.675458],[-87.823164,45.662732],[-87.824102,45.647138],[-87.810194,45.638732],[-87.79588,45.618846],[-87.780845,45.614599],[-87.777199,45.588499],[-87.787534,45.581376],[-87.790874,45.564096],[-87.806104,45.562863],[-87.829346,45.568776],[-87.833591,45.562529],[-87.80339,45.538272],[-87.802267,45.514233],[-87.792769,45.499967],[-87.812971,45.4661],[-87.861697,45.434473],[-87.860432,45.423504],[-87.849322,45.403872],[-87.859131,45.398967],[-87.859418,45.388227],[-87.875424,45.379373],[-87.871789,45.373557],[-87.884855,45.362792],[-87.888052,45.354697],[-87.881114,45.351278],[-87.86856,45.360537],[-87.860871,45.351192],[-87.850418,45.347492],[-87.848368,45.340676],[-87.832612,45.352249],[-87.790324,45.353444],[-87.783076,45.349725],[-87.754104,45.349442],[-87.751626,45.354169],[-87.738352,45.358243],[-87.718891,45.377462],[-87.693956,45.389893],[-87.675017,45.382454],[-87.674403,45.378065],[-87.657349,45.368752],[-87.656632,45.358617],[-87.648476,45.352243],[-87.648126,45.339396],[-87.662029,45.326434],[-87.663666,45.318257],[-87.687498,45.298055],[-87.698248,45.281512],[-87.69878,45.26942],[-87.709137,45.260341],[-87.711339,45.239965],[-87.724156,45.233236],[-87.721935,45.228444],[-87.726952,45.218949],[-87.726198,45.209391],[-87.741732,45.198201],[-87.736509,45.173389],[-87.683902,45.144135],[-87.675816,45.135059],[-87.678511,45.131204],[-87.672447,45.121294],[-87.661296,45.112566],[-87.661211,45.108279],[-87.631535,45.106224],[-87.59188,45.094689],[-87.587147,45.089495],[-87.587992,45.085271],[-87.601849,45.082297],[-87.610395,45.075617],[-87.625748,45.045157],[-87.624693,45.014176],[-87.630298,44.976865],[-87.661964,44.973035],[-87.696492,44.974233],[-87.766115,44.965351],[-87.817551,44.951986],[-87.837647,44.933091],[-87.844299,44.918524],[-87.827751,44.891229],[-87.832764,44.880939],[-87.852789,44.86486],[-87.865898,44.840988],[-87.878218,44.839016],[-87.899787,44.828051],[-87.941453,44.75608],[-87.964714,44.74357],[-87.983065,44.72073],[-87.990081,44.669791],[-88.002085,44.664035],[-88.009766,44.637081],[-87.998836,44.609523],[-88.001943,44.603909],[-88.012395,44.602438],[-88.027103,44.578992],[-88.039092,44.574324],[-88.042261,44.567344],[-88.005518,44.539216],[-87.970702,44.530292],[-87.943801,44.529693],[-87.929001,44.535993],[-87.901206,44.568887],[-87.899368,44.573043],[-87.903689,44.581317],[-87.901179,44.584545],[-87.867941,44.607606],[-87.809076,44.636189],[-87.77516,44.639281],[-87.756048,44.649117],[-87.748409,44.667122],[-87.71978,44.693246],[-87.720312,44.725073],[-87.610063,44.838384],[-87.581635,44.851638],[-87.550288,44.85129],[-87.530999,44.857437],[-87.515142,44.869596],[-87.502431,44.864619],[-87.478489,44.863572],[-87.437084,44.892718],[-87.421007,44.887869],[-87.419951,44.87594],[-87.405658,44.860098]]],[[[-86.880572,45.331467],[-86.895055,45.329035],[-86.899488,45.322588],[-86.896667,45.307275],[-86.899891,45.295185],[-86.925681,45.3242],[-86.95499,45.34128],[-86.956192,45.351179],[-86.946297,45.35869],[-86.95497,45.383194],[-86.943041,45.41525],[-86.934724,45.421123],[-86.928045,45.411273],[-86.917686,45.40789],[-86.892893,45.40898],[-86.877502,45.413981],[-86.862174,45.412151],[-86.853145,45.405547],[-86.830353,45.410852],[-86.828731,45.428461],[-86.810055,45.422619],[-86.805415,45.407324],[-86.824383,45.406135],[-86.841432,45.389601],[-86.853103,45.370861],[-86.863367,45.365],[-86.869031,45.333244],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Wisconsin\",\"nation\":\"USA \"}}]}","volume":"87","noUsgsAuthors":false,"publicationDate":"2025-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Mennatallah, Gouda V.","contributorId":355815,"corporation":false,"usgs":false,"family":"Mennatallah","given":"Gouda V.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":938190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Jim","contributorId":178178,"corporation":false,"usgs":false,"family":"Powell","given":"Jim","email":"","affiliations":[],"preferred":false,"id":938191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McClure, Jen","contributorId":355870,"corporation":false,"usgs":false,"family":"McClure","given":"Jen","affiliations":[],"preferred":false,"id":938192,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":938193,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storm, Daniel J.","contributorId":341059,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":938194,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70267261,"text":"70267261 - 2025 - Biocrust mosses and cyanobacteria exhibit distinct carbon uptake responses to variations in precipitation amount and frequency","interactions":[],"lastModifiedDate":"2025-05-19T14:58:24.230313","indexId":"70267261","displayToPublicDate":"2025-05-15T07:53:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Biocrust mosses and cyanobacteria exhibit distinct carbon uptake responses to variations in precipitation amount and frequency","docAbstract":"Dryland organisms exhibit varied responses to changes in precipitation, including event size, frequency, and soil moisture duration, influencing carbon uptake and reserve management strategies. This principle, central to the pulse-reserve paradigm, has not been thoroughly evaluated in biological soil crusts (biocrusts), essential primary producers on dryland surfaces. We conducted two experiments to investigate carbon uptake in biocrusts under different precipitation regimes. In the first, we applied a gradient of watering amounts to biocrusts dominated by moss or cyanobacteria, hypothesising distinct pulse-response strategies. The second experiment extended watering treatments over three months, varying pulse size and frequency. Our results revealed distinct carbon uptake patterns: moss crusts exhibited increased CO2 uptake with larger, less frequent watering events, whereas cyanobacteria crusts maintained similar carbon uptake across all event sizes. These findings suggest divergent pulse-response strategies across biocrust types, with implications for modelling dryland carbon dynamics and informing land management under changing precipitation regimes.","language":"English","publisher":"Wiley","doi":"10.1111/ele.70125","usgsCitation":"Young, K., Sala, O.E., Darrouzet-Nardi, A., Tucker, C.L., Finger-Higgens, R.A., Starbuck, M., and Reed, S., 2025, Biocrust mosses and cyanobacteria exhibit distinct carbon uptake responses to variations in precipitation amount and frequency: Ecology Letters, v. 28, no. 5, e70125, 10 p., https://doi.org/10.1111/ele.70125.","productDescription":"e70125, 10 p.","ipdsId":"IP-171245","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":489080,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2566615","text":"External Repository"},{"id":486154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Colorado Plateau, southeastern Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.03847502985644,\n 38.34758364168215\n ],\n [\n -111.03847502985644,\n 37.01866208836557\n ],\n [\n -109.01970607796514,\n 37.01866208836557\n ],\n [\n -109.01970607796514,\n 38.34758364168215\n ],\n [\n -111.03847502985644,\n 38.34758364168215\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Kristina E.","contributorId":195945,"corporation":false,"usgs":false,"family":"Young","given":"Kristina E.","affiliations":[],"preferred":false,"id":937537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sala, Osvaldo E.","contributorId":139047,"corporation":false,"usgs":false,"family":"Sala","given":"Osvaldo","email":"","middleInitial":"E.","affiliations":[{"id":12629,"text":"Arizona State University, Tempe, AZ (DETAIL TO BE ADDED)","active":true,"usgs":false}],"preferred":false,"id":937538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Darrouzet-Nardi, Anthony adarrouzet-nardi@usgs.gov","contributorId":207292,"corporation":false,"usgs":false,"family":"Darrouzet-Nardi","given":"Anthony","email":"adarrouzet-nardi@usgs.gov","affiliations":[],"preferred":false,"id":937539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tucker, Colin L","contributorId":270737,"corporation":false,"usgs":false,"family":"Tucker","given":"Colin","email":"","middleInitial":"L","affiliations":[{"id":56205,"text":"U.S. National Forest Service, Northern Research Station, Houghton, MI 49931","active":true,"usgs":false}],"preferred":false,"id":937540,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finger-Higgens, Rebecca A 0000-0002-7645-504X","orcid":"https://orcid.org/0000-0002-7645-504X","contributorId":290211,"corporation":false,"usgs":true,"family":"Finger-Higgens","given":"Rebecca","email":"","middleInitial":"A","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":937541,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Starbuck, Megan Elyse 0000-0002-1363-6994","orcid":"https://orcid.org/0000-0002-1363-6994","contributorId":355528,"corporation":false,"usgs":true,"family":"Starbuck","given":"Megan Elyse","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":937542,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":937543,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}