{"pageNumber":"109","pageRowStart":"2700","pageSize":"25","recordCount":184617,"records":[{"id":70266244,"text":"70266244 - 2025 - Developing a range-wide sampling framework for endangered species: A case study with light-footed Ridgway’s rail","interactions":[],"lastModifiedDate":"2025-05-02T16:00:17.162585","indexId":"70266244","displayToPublicDate":"2024-08-29T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Developing a range-wide sampling framework for endangered species: A case study with light-footed Ridgway’s rail","docAbstract":"

Monitoring provides the foundation for evaluating recovery of endangered species, yet many species lack monitoring programs designed to integrate a species’ unique attributes, specific monitoring objectives, and principles of statistical sampling theory. We developed a framework for monitoring and assessment of endangered light-footed Ridgway’s rails (Rallus obsoletus levipes) across their U.S. range, relative to multi-scale recovery goals. We created spatially explicit sample units and a sampling frame covering all potential habitat to facilitate range-wide probability sampling, and also built a model of the call-broadcast process commonly used to survey marsh birds that included heterogeneity in availability for detection and conditional detectability for each bird during each survey. We used the model to simulate 96 sampling strategies that included different levels of replication, multiple approaches for sample allocation amongst strata, and both simple random and weighted probability sampling (i.e., weights proportional to local rail abundance) of sample units within strata. Effective monitoring surveyed ≥20–30% of the sampling frame on ≥3 occasions, with weighted sample selection and more targeted sampling (50% of units) for strata that are key to species recovery. We also tested Bayesian N-mixture models for estimating abundance and show that multiple models provide reasonable estimates. This work lays the foundation for statistical sampling and multi-scale population estimation for an endangered bird, and for refinement of abundance estimation models. Moreover, this work provides a replicable process for building customized and statistically defensible sampling frameworks to assess recovery of endangered species that can used for other sensitive species.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s10531-024-02919-5","usgsCitation":"Stevens, B.S., Conway, C.J., Sawyer, K.A., Kershek, L., Block, G., Hamilton, S.E., and Kolstrom, R., 2025, Developing a range-wide sampling framework for endangered species: A case study with light-footed Ridgway’s rail: Biodiversity and Conservation, v. 33, p. 3703-3726, https://doi.org/10.1007/s10531-024-02919-5.","productDescription":"24 p.","startPage":"3703","endPage":"3726","ipdsId":"IP-158842","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487934,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s10531-024-02919-5","text":"Publisher Index Page"},{"id":485343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"southern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.11985966366927,\n 34.43986019915313\n ],\n [\n -119.11985966366927,\n 32.5790213915529\n ],\n [\n -117.03786824500196,\n 32.5790213915529\n ],\n [\n -117.03786824500196,\n 34.43986019915313\n ],\n [\n -119.11985966366927,\n 34.43986019915313\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"33","noUsgsAuthors":false,"publicationDate":"2024-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Bryan S.","contributorId":171809,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":935078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sawyer, Kimberley A.","contributorId":167850,"corporation":false,"usgs":true,"family":"Sawyer","given":"Kimberley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":935080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kershek, Lauren","contributorId":354083,"corporation":false,"usgs":false,"family":"Kershek","given":"Lauren","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":935081,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Block, Giselle","contributorId":139324,"corporation":false,"usgs":false,"family":"Block","given":"Giselle","email":"","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":935641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamilton, Sandra E.","contributorId":62318,"corporation":false,"usgs":true,"family":"Hamilton","given":"Sandra","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":935642,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kolstrom, Rebecca","contributorId":275658,"corporation":false,"usgs":false,"family":"Kolstrom","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":935643,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70258368,"text":"70258368 - 2025 - Quantitative support for the benefits of proactive management for wildlife disease control","interactions":[],"lastModifiedDate":"2025-02-11T15:40:16.139418","indexId":"70258368","displayToPublicDate":"2024-08-26T09:01:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative support for the benefits of proactive management for wildlife disease control","docAbstract":"

Finding effective pathogen mitigation strategies is one of the biggest challenges humans face today. In the context of wildlife, emerging infectious diseases have repeatedly caused widespread host morbidity and population declines of numerous taxa. In areas yet unaffected by a pathogen, a proactive management approach has the potential to minimize or prevent host mortality. However, typically critical information on disease dynamics in a novel host system is lacking, empirical evidence on efficacy of management interventions is limited, and there is a lack of validated predictive models. As such, quantitative support for identifying effective management interventions is largely absent, and the opportunity for proactive management is often missed. We considered the potential invasion of the chytrid fungus, Batrachochytrium salamandrivorans (Bsal), whose expected emergence in North America poses a severe threat to hundreds of salamander species in this global salamander biodiversity hotspot. We developed and parameterized a dynamic multistate occupancy model to forecast host and pathogen occurrence, following expected emergence of the pathogen, and evaluated the response of salamander populations to different management scenarios. Our model forecasted that taking no action is expected to be catastrophic to salamander populations. Proactive action was predicted to maximize host occupancy outcomes relative to wait-and-see reactive management, thus providing quantitative support for proactive management opportunities. The eradication of Bsal was unlikely under all the evaluated management options. Contrary to our expectations, even early pathogen detection had little effect on Bsal or host occupancy outcomes. Our results provide quantitative support that proactive management is the optimal strategy for promoting persistence of disease-threatened salamander populations. Our approach fills a critical gap by defining a framework for evaluating management options prior to pathogen invasion and can thus serve as a template for addressing novel disease threats that jeopardize wildlife and human health.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.14363","usgsCitation":"Bletz, M., Campbell Grant, E.H., and DiRenzo, G.V., 2025, Quantitative support for the benefits of proactive management for wildlife disease control: Conservation Biology, v. 39, no. 1, e14363, 15 p., https://doi.org/10.1111/cobi.14363.","productDescription":"e14363, 15 p.","ipdsId":"IP-152843","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":439191,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.14363","text":"Publisher Index Page"},{"id":434764,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bletz, Molly","contributorId":344177,"corporation":false,"usgs":false,"family":"Bletz","given":"Molly","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":913080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":913081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":913082,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274735,"text":"70274735 - 2025 - Forest wildlife management","interactions":[],"lastModifiedDate":"2026-04-09T15:13:19.495563","indexId":"70274735","displayToPublicDate":"2024-08-21T10:10:52","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Forest wildlife management","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecological forest management handbook","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Grodsky, S.M., Moorman, C.E., and Russell, K.R., 2025, Forest wildlife management, chap. 3 of Ecological forest management handbook, p. 47-81.","productDescription":"35 p.","startPage":"47","endPage":"81","ipdsId":"IP-155695","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"2nd edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":958896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moorman, Christopher E.","contributorId":140839,"corporation":false,"usgs":false,"family":"Moorman","given":"Christopher","email":"","middleInitial":"E.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":958897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, Kevin R.","contributorId":150351,"corporation":false,"usgs":false,"family":"Russell","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":958898,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70258689,"text":"70258689 - 2025 - The impact of source time function complexity on stress drop estimates","interactions":[],"lastModifiedDate":"2025-05-27T15:25:26.492334","indexId":"70258689","displayToPublicDate":"2024-08-21T07:07:34","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":"The impact of source time function complexity on stress drop estimates","docAbstract":"

Earthquake stress drop—a key parameter for describing the energetics of earthquake rupture—can be estimated in several different, but theoretically equivalent, ways. However, independent estimates for the same earthquakes sometimes differ significantly. We find that earthquake source complexity plays a significant role in why theoretically (for simple rupture models) equivalent methods produce different estimates. We apply time‐ and frequency‐domain methods to estimate stress drops for real earthquakes in the SCARDEC (Seismic source ChAracteristics Retrieved from DEConvolving teleseismic body waves, Vallée and Douet, 2016) source time function (STF) database and analyze how rupture complexity drives stress‐drop estimate discrepancies. Specifically, we identify two complexity metrics—Brune relative energy (BRE) and spectral decay—that parameterize an earthquake’s complexity relative to the standard Brune model and strongly correlate with the estimate discrepancies. We find that the observed systematic magnitude–stress‐drop trends may reflect underlying changes in STF complexity, not necessarily trends in actual stress drop. Both the decay and BRE parameters vary systematically with magnitude, but whether this magnitude–complexity relationship is real remains unresolved.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240022","usgsCitation":"Neely, J.S., Park, S., and Baltay Sundstrom, A.S., 2025, The impact of source time function complexity on stress drop estimates: Bulletin of the Seismological Society of America, v. 115, no. 3, p. 1149-1161, https://doi.org/10.1785/0120240022.","productDescription":"13 p.","startPage":"1149","endPage":"1161","ipdsId":"IP-163150","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":462176,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Neely, James S.","contributorId":263454,"corporation":false,"usgs":false,"family":"Neely","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":25254,"text":"Northwestern University","active":true,"usgs":false}],"preferred":false,"id":913714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Park, Sunyoung","contributorId":344424,"corporation":false,"usgs":false,"family":"Park","given":"Sunyoung","email":"","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":913715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":913716,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70265000,"text":"70265000 - 2025 - Automated, near real-time ground-motion processing at the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2025-03-27T15:19:54.497998","indexId":"70265000","displayToPublicDate":"2024-08-16T10:16:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Automated, near real-time ground-motion processing at the U.S. Geological Survey","docAbstract":"

We describe automated ground‐motion processing software named gmprocess that has been developed at the U.S. Geological Survey (USGS) in support of near‐real‐time earthquake hazard products. Because of the open‐source development process, this software has benefitted from the involvement and contributions of a broad community and has been used for a wider range of applications than was initially envisioned. Here, we give an overview and introduction to the software, including how it has leveraged other open‐source libraries. We highlight some key features that gmprocess provides, compare response spectra calculated with the automated processing approach of gmprocess to the response spectra provided by the Next Generation Attenuation projects, and summarize projects that have utilized gmprocess. These use‐cases demonstrate that this software development effort has been successfully leveraged in earthquake research activities both within and outside the USGS.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240021","usgsCitation":"Thompson, E.M., Hearne, M., Aagaard, B.T., Rekoske, J., Worden, C., Moschetti, M.P., Hunsinger, H., Ferragut, G., Parker, G.A., Smith, J.A., Smith, K., and Kottke, A.R., 2025, Automated, near real-time ground-motion processing at the U.S. Geological Survey: Seismological Research Letters, v. 96, no. 1, p. 538-553, https://doi.org/10.1785/0220240021.","productDescription":"16 p.","startPage":"538","endPage":"553","ipdsId":"IP-165289","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":483948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":932207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rekoske, J.M. 0000-0003-0539-2069","orcid":"https://orcid.org/0000-0003-0539-2069","contributorId":271018,"corporation":false,"usgs":false,"family":"Rekoske","given":"J.M.","affiliations":[],"preferred":false,"id":932208,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Worden, Charles 0000-0003-1181-685X cbworden@usgs.gov","orcid":"https://orcid.org/0000-0003-1181-685X","contributorId":152042,"corporation":false,"usgs":true,"family":"Worden","given":"Charles","email":"cbworden@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932209,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932210,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunsinger, Heather Elizabeth 0000-0001-7700-9087","orcid":"https://orcid.org/0000-0001-7700-9087","contributorId":352844,"corporation":false,"usgs":true,"family":"Hunsinger","given":"Heather Elizabeth","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":932211,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ferragut, Gabe C. 0000-0002-0776-9176","orcid":"https://orcid.org/0000-0002-0776-9176","contributorId":352845,"corporation":false,"usgs":false,"family":"Ferragut","given":"Gabe C.","affiliations":[],"preferred":false,"id":932212,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":932213,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Smith, James Andrew 0000-0002-5565-9254 jimsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-9254","contributorId":332933,"corporation":false,"usgs":true,"family":"Smith","given":"James","email":"jimsmith@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":932214,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smith, Kyle Ken 0000-0002-8335-4722","orcid":"https://orcid.org/0000-0002-8335-4722","contributorId":352847,"corporation":false,"usgs":true,"family":"Smith","given":"Kyle Ken","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":932215,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kottke, Albert R.","contributorId":271023,"corporation":false,"usgs":false,"family":"Kottke","given":"Albert","email":"","middleInitial":"R.","affiliations":[{"id":56254,"text":"Pacific Gas & Electric, San Francisco, CA 94105","active":true,"usgs":false}],"preferred":false,"id":932216,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70257443,"text":"70257443 - 2025 - Utility of an instantaneous salt dilution method for measuring streamflow in headwater streams","interactions":[],"lastModifiedDate":"2025-01-13T16:06:48.945953","indexId":"70257443","displayToPublicDate":"2024-08-13T09:22:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Utility of an instantaneous salt dilution method for measuring streamflow in headwater streams","docAbstract":"

Streamflow records are biased toward large streams and rivers, yet small headwater streams are often the focus of ecological research in response to climate change. Conventional flow measurement instruments such as acoustic Doppler velocimeters (ADVs) do not perform well during low-flow conditions in small streams, truncating the development of rating curves during critical baseflow conditions dominated by groundwater inflow. We revisited an instantaneous solute tracer injection method as an alternative to ADVs based on paired measurements to compare their precision, efficiency, and feasibility within headwater streams across a range of flow conditions. We show that the precision of discharge measurements using salt dilution by slug injection and ADV methods were comparable overall, but salt dilution was more precise during the lowest flows and required less time to implement. Often, headwater streams were at or below the depth threshold where ADV measurements could even be attempted and transects were complicated by coarse bed material and cobbles. We discuss the methodological benefits and limitations of salt dilution by slug injection and conclude that the method could facilitate a proliferation of streamflow observation across headwater stream networks that are highly undersampled compared to larger streams.

","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13437","usgsCitation":"Rogers, K.M., Fair, J.H., Hitt, N.P., Kessler, K.G., Kelly, Z.A., and Briggs, M., 2025, Utility of an instantaneous salt dilution method for measuring streamflow in headwater streams: Groundwater, v. 63, no. 1, p. 80-92, https://doi.org/10.1111/gwat.13437.","productDescription":"13 p.","startPage":"80","endPage":"92","ipdsId":"IP-154604","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498027,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13437","text":"Publisher Index Page"},{"id":432856,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.79191984899838,\n 38.003747532365935\n ],\n [\n -78.43265603792327,\n 38.30672144762764\n ],\n [\n -78.1306661677441,\n 38.74663683672705\n ],\n [\n -78.18273338674035,\n 38.94129061181346\n ],\n [\n -78.36496865322779,\n 38.79129202372505\n ],\n [\n -78.62009802630988,\n 38.49849659640472\n ],\n [\n -78.82836690229541,\n 38.26176445428902\n ],\n [\n -78.8752273993925,\n 38.06936203399192\n ],\n [\n -78.79191984899838,\n 38.003747532365935\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"63","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Rogers, Karli M. 0000-0002-6188-7405","orcid":"https://orcid.org/0000-0002-6188-7405","contributorId":237955,"corporation":false,"usgs":true,"family":"Rogers","given":"Karli","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":910411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fair, Jennifer H. 0000-0002-9902-1893","orcid":"https://orcid.org/0000-0002-9902-1893","contributorId":245941,"corporation":false,"usgs":true,"family":"Fair","given":"Jennifer","middleInitial":"H.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":910412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":238185,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":910413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kessler, Karmann G. 0000-0001-5681-4909","orcid":"https://orcid.org/0000-0001-5681-4909","contributorId":242765,"corporation":false,"usgs":true,"family":"Kessler","given":"Karmann","email":"","middleInitial":"G.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":910414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelly, Zachary A. 0000-0003-4684-2345","orcid":"https://orcid.org/0000-0003-4684-2345","contributorId":222459,"corporation":false,"usgs":true,"family":"Kelly","given":"Zachary","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":910415,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":910416,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70257552,"text":"70257552 - 2025 - Common-garden experiment reveals outbreeding depression and region-of-origin effects on reproductive success in a frequently translocated tortoise","interactions":[],"lastModifiedDate":"2025-05-12T15:38:10.728102","indexId":"70257552","displayToPublicDate":"2024-08-12T08:18:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Common-garden experiment reveals outbreeding depression and region-of-origin effects on reproductive success in a frequently translocated tortoise","docAbstract":"

Human-mediated animal movement can expose wildlife populations to novel environments. Phenotypic plasticity can buffer against the challenges presented by novel environments, while adaptation to local ecosystems may limit resilience in novel ecosystems. Outbreeding depression during the mixing of disparate gene pools can also reduce reproductive success after long-distance movement. Here, we use a ‘common-garden’ population of gopher tortoises (Gopherus polyphemus), translocated from numerous sites across the state of Florida, USA, to a mitigation site in the north-west (panhandle) region to assess whether geographic origin, outbreeding effects, and behavioral plasticity influence reproductive success in this threatened keystone species. We found that females from north-east Florida produced clutches with lower hatching success than females from other regions. We detected regional differentiation in nest site selection behavior in the common environment of the translocation site, though these differences did not mediate the regional effect on hatching success. We also found evidence for outbreeding depression: hatching success declined with increasing parental geographic and genetic distances, dropping from 93% to 67% across the range of observed parental genetic distances. Together, these results suggest that newly admixed populations may suffer reproductive costs due to historical population differentiation, and that undetected outbreeding depression could significantly hamper conservation efforts for this species and others undergoing a variety of human-mediated movements.

","language":"English","publisher":"Wiley","doi":"10.1111/acv.12977","usgsCitation":"Loope, K., DeSha, J.N., Aresco, M.J., Shoemaker, K., and Hunter, E.A., 2025, Common-garden experiment reveals outbreeding depression and region-of-origin effects on reproductive success in a frequently translocated tortoise: Animal Conservation, v. 28, no. 2, p. 249-261, https://doi.org/10.1111/acv.12977.","productDescription":"13 .","startPage":"249","endPage":"261","ipdsId":"IP-159160","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":433557,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":439218,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/acv.12977","text":"Publisher Index Page"}],"country":"United 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\"}}]}","volume":"28","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Loope, Kevin J.","contributorId":288536,"corporation":false,"usgs":false,"family":"Loope","given":"Kevin J.","affiliations":[{"id":16976,"text":"Georgia Southern University","active":true,"usgs":false}],"preferred":false,"id":910805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeSha, J. Nicole","contributorId":343344,"corporation":false,"usgs":false,"family":"DeSha","given":"J.","email":"","middleInitial":"Nicole","affiliations":[{"id":16976,"text":"Georgia Southern University","active":true,"usgs":false}],"preferred":false,"id":910806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aresco, Matthew J.","contributorId":343347,"corporation":false,"usgs":false,"family":"Aresco","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":81935,"text":"Nokuse","active":true,"usgs":false}],"preferred":false,"id":910807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shoemaker, Kevin T.","contributorId":288541,"corporation":false,"usgs":false,"family":"Shoemaker","given":"Kevin T.","affiliations":[{"id":61793,"text":"University of Nevada – Reno","active":true,"usgs":false}],"preferred":false,"id":910808,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910809,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70258803,"text":"70258803 - 2025 - eZ flow metrics: Using z-scores to estimate deviations from natural flow in the Colorado River below Glen Canyon Dam","interactions":[],"lastModifiedDate":"2025-02-24T16:41:23.919215","indexId":"70258803","displayToPublicDate":"2024-08-08T08:55:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"eZ flow metrics: Using z-scores to estimate deviations from natural flow in the Colorado River below Glen Canyon Dam","docAbstract":"

River flow patterns are primary drivers of lotic ecosystems, and hundreds of metrics have been developed to quantify flow attributes. Although existing metrics have been a powerful tool in designing environmental flows, they are often developed with specific resources in mind and are rarely directly comparable with each other (i.e., units are often different). Here, we focus on natural flows as the resource of interest and develop z-score metrics that measure the naturalness of regulated flows, incorporating natural means and interannual variation. These “eZ metrics” summarize whole year, subdaily, and functional flow patterns as standard deviations from natural such that their values are directly comparable. We illustrate their utility with a case study from the Colorado River downstream of Glen Canyon Dam in Arizona, USA. We calculated metrics for 1964–2022, spanning greater than 5 decades of changing water policy, hydropower generation, and flow experimentation. We evaluate four options for estimating natural baseline flows. Across metrics, we found that subdaily stage variation deviated the most from baseline. Flows to satisfy regional water policy and power demands altered metrics more than designer flows (which target specific resource outcomes), and years with low water releases were closest to natural. Most of the designer flows have not made flow patterns more natural, due to incorrect seasonal timing, small magnitude, or short duration. By explicitly considering interannual variability and quantifying how regulated flows differ from natural using standard deviations, these metrics can inform management when the goal is to restore a natural flow regime.

","language":"English","publisher":"Wiley","doi":"10.1002/rra.4360","usgsCitation":"Palmquist, E.C., Deemer, B., Metcalfe, A., Kennedy, T., Bair, L., Fairley, H.C., Grams, P.E., Sankey, J., and Yackulic, C., 2025, eZ flow metrics: Using z-scores to estimate deviations from natural flow in the Colorado River below Glen Canyon Dam: River Research and Applications, v. 41, no. 2, p. 252-267, https://doi.org/10.1002/rra.4360.","productDescription":"16 p.","startPage":"252","endPage":"267","ipdsId":"IP-162395","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":462279,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466969,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4360","text":"Publisher Index Page"}],"country":"United States","otherGeospatial":"Colorado River basin","geographicExtents":"{\n \"type\": 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Center","active":true,"usgs":true}],"preferred":true,"id":914084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Metcalfe, Anya 0000-0002-6286-4889","orcid":"https://orcid.org/0000-0002-6286-4889","contributorId":221738,"corporation":false,"usgs":true,"family":"Metcalfe","given":"Anya","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Theodore 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Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":914089,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914090,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914091,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":914092,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70257105,"text":"70257105 - 2025 - Book review: John B. Wright, fire scars: A novel","interactions":[],"lastModifiedDate":"2025-02-24T16:45:30.449","indexId":"70257105","displayToPublicDate":"2024-08-06T11:04:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18525,"text":"Cultural Geographies","active":true,"publicationSubtype":{"id":10}},"title":"Book review: John B. Wright, fire scars: A novel","docAbstract":"

No abstract available.

","language":"English","publisher":"Sage Journals","doi":"10.1177/14744740241274303","usgsCitation":"Cravens, A.E., 2025, Book review: John B. Wright, fire scars: A novel: Cultural Geographies, v. 32, no. 1, p. 158-159, https://doi.org/10.1177/14744740241274303.","productDescription":"2 p.","startPage":"158","endPage":"159","ipdsId":"IP-161335","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":433669,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909399,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70262566,"text":"70262566 - 2025 - Balancing ecology and practicality to rank waterbodies for preventative invasive species management","interactions":[],"lastModifiedDate":"2025-01-21T16:38:29.384752","indexId":"70262566","displayToPublicDate":"2024-08-06T10:26:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9977,"text":"Ecological Solutions and Evidence","active":true,"publicationSubtype":{"id":10}},"title":"Balancing ecology and practicality to rank waterbodies for preventative invasive species management","docAbstract":"
  1. ‘Early detection and rapid response’ (EDRR) is the most successful framework for preventative invasive species management, but prioritizing localized EDRR actions with limited resources is challenging. An approach that ranks individual locations, such as waterbodies, for EDRR by combining an invasive species' establishment risk with the practicality of managing it could help set reasonable priorities.
  2. Here, we worked with regional practitioners in Arkansas, USA, and the broader Southeastern USA to co-produce a workflow for preventative aquatic invasive species management that (1) estimates establishment risk under current and future climates with a species distribution model, (2) scores waterbodies according to difficulty of eradicating an aquatic invasive species if it were introduced and (3) combines establishment risk and eradication difficulty scores to rank waterbodies according to preventative management priority. As our focal species, we used giant salvinia (Salvinia molesta), a floating aquatic fern ranked among the worst weeds in the world due to its negative socio-ecological impacts and difficulty to eradicate once established.
  3. Current establishment risk is low for much of our study area, but under future climate scenarios (RCP 8.5), areas with >60% giant salvinia establishment risk increased from 546 km2 to 30,219 km2 between 2023 and 2040 in Arkansas.
  4. We found giant salvinia establishment risk and eradication difficulty are independent of each other (r = 0.28), and it follows that, alone, early detection tools such as species distribution models are insufficient for managers to prioritize sites for EDRR.
  5. Practical implication: We envision our approach fitting into a potential EDRR workflow that cascades from broad- to local-scale. To illustrate, (1) horizon scanning and/or climate matching generates lists of high-risk invasive species; (2) species lists are narrowed according to eradication feasibility scores; (3) for all remaining species, all waterbodies across a geography of interest receive prioritization rankings based on establishment risk and eradication difficulty scores. Given that climate change makes predicting invasive species' distributions a moving target, combining co-produced eradication difficulty scoring with species distribution modelling will balance rigour with practicality when prioritizing locations for EDRR.
","language":"English","publisher":"British Ecological Society","doi":"10.1002/2688-8319.12362","usgsCitation":"Roberts, C.P., Grant, W., Horton, M., LaBrie, L.A., Peterson, M., Rogosch, J.S., and Wang, H., 2025, Balancing ecology and practicality to rank waterbodies for preventative invasive species management: Ecological Solutions and Evidence, v. 5, no. 3, e12362, 15 p., https://doi.org/10.1002/2688-8319.12362.","productDescription":"e12362, 15 p.","ipdsId":"IP-162789","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":481037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2688-8319.12362","text":"Publisher Index Page"},{"id":480833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri, Oklahoma, Tennessee, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.73568703255195,\n 28.607717311343364\n ],\n [\n -88.37813816656555,\n 30.102428374066577\n ],\n [\n -89.62246350130985,\n 30.416822742847643\n ],\n [\n -89.83391270505314,\n 30.9795777752782\n ],\n [\n -90.46723103123068,\n 31.793376454744887\n ],\n [\n -88.34979350352083,\n 36.46310793567055\n ],\n [\n -88.53079243808438,\n 37.57249603534645\n ],\n [\n -93.61108780124465,\n 37.370270117720594\n ],\n [\n -94.41453771042441,\n 36.99928481542726\n ],\n [\n -102.97017284240357,\n 36.950214199897886\n ],\n [\n -102.92124549532824,\n 32.37125359201514\n ],\n [\n -100.345274650602,\n 28.985033044209004\n ],\n [\n -99.04874329888298,\n 26.953421338286873\n ],\n [\n -97.12591449324768,\n 25.958042705296734\n ],\n [\n -96.45639112234139,\n 28.006899099531154\n ],\n [\n -93.98047836120853,\n 29.35083219571308\n ],\n [\n -88.73568703255195,\n 28.607717311343364\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Roberts, Caleb Powell 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":288567,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","email":"","middleInitial":"Powell","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, William E.","contributorId":349674,"corporation":false,"usgs":false,"family":"Grant","given":"William E.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":924563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Matthew L.","contributorId":349675,"corporation":false,"usgs":false,"family":"Horton","given":"Matthew L.","affiliations":[{"id":81696,"text":"Arkansas Game & Fish Commission","active":true,"usgs":false}],"preferred":false,"id":924564,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LaBrie, Lindsey A.P.","contributorId":349677,"corporation":false,"usgs":false,"family":"LaBrie","given":"Lindsey","middleInitial":"A.P.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":924565,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Miranda R.","contributorId":349679,"corporation":false,"usgs":false,"family":"Peterson","given":"Miranda R.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":924566,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rogosch, Jane S. 0000-0002-1748-4991","orcid":"https://orcid.org/0000-0002-1748-4991","contributorId":317717,"corporation":false,"usgs":true,"family":"Rogosch","given":"Jane","middleInitial":"S.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924567,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Hsiao-Hsuan","contributorId":349683,"corporation":false,"usgs":false,"family":"Wang","given":"Hsiao-Hsuan","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":924568,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70267207,"text":"70267207 - 2025 - Climate-Smart Siting for renewable energy expansion","interactions":[],"lastModifiedDate":"2025-05-16T15:37:54.863378","indexId":"70267207","displayToPublicDate":"2024-08-03T08:32:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16668,"text":"iScience","active":true,"publicationSubtype":{"id":10}},"title":"Climate-Smart Siting for renewable energy expansion","docAbstract":"A massive expansion of renewable energy (RE) is underway to meet the world’s climate goals. Although RE serves to reduce threats from climate change, it can also pose threats to species whose current and future ranges intersect with RE installations. Here, we propose a “Climate-Smart Siting” framework for addressing potential conflicts between RE expansion and biodiversity conservation. The framework engenders authentic consultation with affected and disadvantaged communities throughout and uses overlay and optimization routines to identify focal areas now and in the future where RE development poses promise and peril as species’ ranges shift in response to climate change. We use this framework to demonstrate methods, identify decision outcomes, and discuss market-based levers for aligning RE expansion with the United Nations Global Biodiversity Framework now and as climate change progresses. In the face of the climate crisis, a Climate-Smart Siting strategy could help create solutions without causing further harm to biodiversity and human communities.","language":"English","publisher":"Elsevier","doi":"10.1016/j.isci.2024.110666","usgsCitation":"Ashraf, U., Morelli, T.L., Smith, A., and Hernandez, R., 2025, Climate-Smart Siting for renewable energy expansion: iScience, v. 27, no. 10, 110666, 16 p., https://doi.org/10.1016/j.isci.2024.110666.","productDescription":"110666, 16 p.","ipdsId":"IP-158335","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":490129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.isci.2024.110666","text":"Publisher Index Page"},{"id":486074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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Davis","active":true,"usgs":false}],"preferred":false,"id":937282,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261766,"text":"70261766 - 2025 - How does the onset of offset influence geologic slip rates?","interactions":[],"lastModifiedDate":"2025-01-13T16:25:54.09362","indexId":"70261766","displayToPublicDate":"2024-07-31T09:48:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"How does the onset of offset influence geologic slip rates?","docAbstract":"

Geologic slip rates are typically based on the displacement accrued by a geomorphic or stratigraphic feature and the age of the offset feature. Because slip rates are commonly calculated by dividing the displacement of a faulted marker by its age, they contain two open time intervals: the elapsed time between the age of an offset feature and the age of the earthquake that displaced the feature, and the time between the present‐day and the most recent earthquake. Here, we explore the influence of including unconstrained open intervals in geologic slip rate calculations. We test the degree to which these open intervals affect geologic slip rates and their uncertainties, and we find that their influence depends primarily on mean earthquake recurrence intervals (RIs). Slip rates on faults with longer RIs, such as the Wasatch fault, can be greatly influenced by an increase of up to 20% when accounting for open intervals. In contrast, slip rates on faults with shorter RIs, such as the San Andreas fault, are only slightly influenced by the assumption that slip rates calculated over open intervals approximate those calculated over closed intervals. Our analyses indicate that faults with moderate slip rates (∼0.2–5 mm/yr) are sensitive to both open interval effects themselves, as well as methods to quantify and account for these effects. We re‐evaluate how slip rates are calculated and defined in displacement–time space using published deformation records. We explore the utility of assigning a probability distribution to the initiation of offset of the oldest faulted feature and the timing of the most recent earthquake (MRE). We find that calculating geologic slip rates without using probability distributions that capture the timing of the MRE and the onset of offset of the oldest faulted feature, especially on slow‐to‐moderate slip rate faults, can lead to systematic underestimation of average geologic slip rates.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240096","usgsCitation":"Hatem, A.E., Briggs, R.W., and Gold, R.D., 2025, How does the onset of offset influence geologic slip rates?: Seismological Research Letters, v. 96, no. 1, p. 363-376, https://doi.org/10.1785/0220240096.","productDescription":"14 p.","startPage":"363","endPage":"376","ipdsId":"IP-166437","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":465401,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921682,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257016,"text":"70257016 - 2025 - (Re)discovering the seismicity of Antarctica: A new seismic catalog for the southernmost continent","interactions":[],"lastModifiedDate":"2025-01-13T16:05:38.725944","indexId":"70257016","displayToPublicDate":"2024-07-31T06:41:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"(Re)discovering the seismicity of Antarctica: A new seismic catalog for the southernmost continent","docAbstract":"We apply a machine learning (ML) earthquake detection technique on over 21 yr of seismic data from on‐continent temporary and long‐term networks to obtain the most complete catalog of seismicity in Antarctica to date. The new catalog contains 60,006 seismic events within the Antarctic continent for 1 January 2000–1 January 2021, with estimated moment magnitudes (⁠Mw\n⁠) between −1.0 and 4.5. Most detected seismicity occurs near Ross Island, large ice shelves, ice streams, ice‐covered volcanoes, or in distinct and isolated areas within the continental interior. The event locations and waveform characteristics indicate volcanic, tectonic, and cryospheric sources. The catalog shows that Antarctica is more seismically active than prior catalogs would indicate, examples include new tectonic events in East Antarctica, seismic events near and around the vicinity of David Glacier, and many thousands of events in the Mount Erebus region. This catalog provides a resource for more specific studies using other detection and analysis methods such as template matching or transfer learning to further discriminate source types and investigate diverse seismogenic processes across the continent.","language":"English","publisher":"Geological Society of America","doi":"10.1785/0220240076","usgsCitation":"Pena Castro, A.F., Schmandt, B., Nakai, J.S., Aster, R.C., and Chaput, J., 2025, (Re)discovering the seismicity of Antarctica: A new seismic catalog for the southernmost continent: Seismological Research Letters, v. 96, no. 1, p. 576-594, https://doi.org/10.1785/0220240076.","productDescription":"19 p.","startPage":"576","endPage":"594","ipdsId":"IP-163366","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":432328,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Pena Castro, Andres F. 0000-0001-8055-1977","orcid":"https://orcid.org/0000-0001-8055-1977","contributorId":341919,"corporation":false,"usgs":false,"family":"Pena Castro","given":"Andres","email":"","middleInitial":"F.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":909162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmandt, Brandon","contributorId":202750,"corporation":false,"usgs":false,"family":"Schmandt","given":"Brandon","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":909163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nakai, Jenny Sha 0000-0002-4559-9796","orcid":"https://orcid.org/0000-0002-4559-9796","contributorId":341920,"corporation":false,"usgs":true,"family":"Nakai","given":"Jenny","email":"","middleInitial":"Sha","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":909164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aster, Richard C. 0000-0002-0821-4906","orcid":"https://orcid.org/0000-0002-0821-4906","contributorId":194410,"corporation":false,"usgs":false,"family":"Aster","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":909165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaput, Julien 0000-0003-1501-3763","orcid":"https://orcid.org/0000-0003-1501-3763","contributorId":341921,"corporation":false,"usgs":false,"family":"Chaput","given":"Julien","email":"","affiliations":[{"id":68346,"text":"University of Texas El Paso","active":true,"usgs":false}],"preferred":false,"id":909166,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70263329,"text":"70263329 - 2025 - Inconsistent transcriptomic responses to hexabromocyclododecane in Japanese quail: A comparative analysis of results from four different study designs","interactions":[],"lastModifiedDate":"2025-09-09T14:34:31.082546","indexId":"70263329","displayToPublicDate":"2024-07-29T10:20:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Inconsistent transcriptomic responses to hexabromocyclododecane in Japanese quail: A comparative analysis of results from four different study designs","docAbstract":"

Efforts to use transcriptomics for toxicity testing have classically relied on the assumption that chemicals consistently produce characteristic transcriptomic signatures that are reflective of their mechanism of action. However, the degree to which transcriptomic responses are conserved across different test methodologies has seldom been explored. With increasing regulatory demand for New Approach Methods (NAMs) that use alternatives to animal models and high‐content approaches such as transcriptomics, this type of comparative analysis is needed. We examined whether common genes are dysregulated in Japanese quail (Coturnix japonica) liver following sublethal exposure to the flame retardant hexabromocyclododecane (HBCD), when life stage and test methodologies differ. The four exposure scenarios included one NAM: Study 1—early‐life stage (ELS) exposure via a single egg injection, and three more traditional approaches; Study 2—adult exposure using a single oral gavage; Study 3—ELS exposure via maternal deposition after adults were exposed through their diet for 7 weeks; and Study 4—ELS exposure via maternal deposition and re‐exposure of nestlings through their diet for 17 weeks. The total number of differentially expressed genes (DEGs) detected in each study was variable (Study 1, 550; Study 2, 192; Study 3, 1; Study 4, 3) with only 19 DEGs shared between Studies 1 and 2. Factors contributing to this lack of concordance are discussed and include differences in dose, but also quail strain, exposure route, sampling time, and HBCD stereoisomer composition. The results provide a detailed overview of the transcriptomic responses to HBCD at different life stages and routes of exposure in a model avian species and highlight certain challenges and limits of comparing transcriptomics across different test methodologies.

","language":"English","publisher":"Oxford Academic","doi":"10.1002/etc.5955","usgsCitation":"Béziers, P., Legrand, E., Boulanger, E., Basu, N., Ewald, J., Henry, P.F., Hecker, M., Xia, J., Karouna-Renier, N., Crump, D., and Head, J.A., 2025, Inconsistent transcriptomic responses to hexabromocyclododecane in Japanese quail: A comparative analysis of results from four different study designs: Environmental Toxicology and Chemistry, v. 44, no. 9, p. 2524-2534, https://doi.org/10.1002/etc.5955.","productDescription":"11 p.","startPage":"2524","endPage":"2534","ipdsId":"IP-141285","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":481753,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":487625,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5955","text":"Publisher Index Page"}],"volume":"44","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Béziers, Paul 0000-0003-4602-0026","orcid":"https://orcid.org/0000-0003-4602-0026","contributorId":350604,"corporation":false,"usgs":false,"family":"Béziers","given":"Paul","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legrand, Elena 0000-0002-0473-2220","orcid":"https://orcid.org/0000-0002-0473-2220","contributorId":350605,"corporation":false,"usgs":false,"family":"Legrand","given":"Elena","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boulanger, Emily 0000-0003-0017-0117","orcid":"https://orcid.org/0000-0003-0017-0117","contributorId":350606,"corporation":false,"usgs":false,"family":"Boulanger","given":"Emily","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Basu, Niladri","contributorId":60085,"corporation":false,"usgs":false,"family":"Basu","given":"Niladri","email":"","affiliations":[],"preferred":false,"id":926410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ewald, Jessica","contributorId":350607,"corporation":false,"usgs":false,"family":"Ewald","given":"Jessica","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926411,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henry, Paula F. P. 0000-0002-7601-5546 phenry@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-5546","contributorId":4485,"corporation":false,"usgs":true,"family":"Henry","given":"Paula","email":"phenry@usgs.gov","middleInitial":"F. P.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926412,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hecker, Marcus 0000-0002-7237-6192","orcid":"https://orcid.org/0000-0002-7237-6192","contributorId":350608,"corporation":false,"usgs":false,"family":"Hecker","given":"Marcus","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":926413,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xia, Jianguo","contributorId":350669,"corporation":false,"usgs":false,"family":"Xia","given":"Jianguo","affiliations":[],"preferred":false,"id":926414,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926415,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crump, Doug 0000-0003-2915-4989","orcid":"https://orcid.org/0000-0003-2915-4989","contributorId":350610,"corporation":false,"usgs":false,"family":"Crump","given":"Doug","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":926416,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Head, Jessica A.","contributorId":206108,"corporation":false,"usgs":false,"family":"Head","given":"Jessica","email":"","middleInitial":"A.","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":926417,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70269010,"text":"70269010 - 2025 - Evaluating mountain lion diet before and after a removal of feral horses in a semiarid environment","interactions":[],"lastModifiedDate":"2025-07-14T15:04:20.934874","indexId":"70269010","displayToPublicDate":"2024-07-24T07:55:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating mountain lion diet before and after a removal of feral horses in a semiarid environment","docAbstract":"

Non-native species can affect ecosystems by influencing native predator-prey dynamics. Therefore, management interventions designed to remove non-natives may inadvertently lead to increased predation on native species. Feral horses are widely distributed throughout the arid parts of western North America. A growing body of research indicates that horses can be an important prey species to mountain lions in ecosystems where they overlap. In December 2020, the Bureau of Land Management removed 455 horses from the Delamar Mountains, Nevada, USA. We leveraged this management intervention to implement a before–after–control–impact study to test hypotheses about predation on horses and native ungulates. We predicted (1) that horses would comprise an important part of the diet in this mixed-prey community, (2) following removal, the proportion of horses in the diet would decrease and native ungulates would increase, and (3) mountain lion home ranges overlapping the treatment areas would increase in response to decreased prey availability. From 2018 to 2022, we investigated 1360 clusters from 29 GPS-collared lions and identified 1056 prey items. To model the probability of a predation event (a kill), we fit a mixed-effects logistic regression model for ungulate prey as a function of lion sex, treatment area (in/out), and treatment period (pre-/post-removal). We used a log-linear regression model to evaluate changes in home range size. The most common prey were mule deer (55%), feral horses (32%), and coyotes (4%). Twenty-two of 29 lions consumed horses, although the rate of horse consumption was highly variable across individuals. Horses of both sexes and all age classes were predated. In contrast to predictions, our models detected no effect of removals on diet composition (βinteraction = 0.30 ± 1.1), nor did the removal influence home range size (βinteraction = 0.02 ± 0.02). Despite a 46% reduction in horse abundance, we found no evidence for prey-switching following the horse removal treatment. Removal magnitude, rapid horse immigration, and/or behavioral specialization of individual mountain lions may help explain these results. Our findings have important implications for mountain lion and feral horse management in arid environments characterized by high prey diversity, but low prey abundance.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4919","usgsCitation":"Iacono, P., Schoenecker, K., Manlove, K., Jackson, P., and Stoner, D., 2025, Evaluating mountain lion diet before and after a removal of feral horses in a semiarid environment: Ecosphere, v. 15, no. 7, e4919, 17 p., https://doi.org/10.1002/ecs2.4919.","productDescription":"e4919, 17 p.","ipdsId":"IP-152802","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":492800,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13IGZUV","text":"USGS data release","linkHelpText":"Data describing species consumed by mountain lions during predation events in eastern Nevada, USA, 2018 to 2022"},{"id":492490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4919","text":"Publisher Index Page"},{"id":492207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Delamar Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.96404930464747,\n 37.701217299863885\n ],\n [\n -114.96404930464747,\n 36.938309102465794\n ],\n [\n -113.99716161775578,\n 36.938309102465794\n ],\n [\n -113.99716161775578,\n 37.701217299863885\n ],\n [\n -114.96404930464747,\n 37.701217299863885\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-07-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Iacono, Peter C.","contributorId":357949,"corporation":false,"usgs":false,"family":"Iacono","given":"Peter C.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":942901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":942902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manlove, Kezia R.","contributorId":357951,"corporation":false,"usgs":false,"family":"Manlove","given":"Kezia R.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":942903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Pat J.","contributorId":357953,"corporation":false,"usgs":false,"family":"Jackson","given":"Pat J.","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":942904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stoner, David C.","contributorId":357955,"corporation":false,"usgs":false,"family":"Stoner","given":"David C.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false},{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":942905,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70256196,"text":"70256196 - 2025 - The dynamic feasibility of resisting (R), accepting (A), or directing (D) ecological change","interactions":[],"lastModifiedDate":"2025-04-17T15:27:55.008263","indexId":"70256196","displayToPublicDate":"2024-07-17T06:43:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"The dynamic feasibility of resisting (R), accepting (A), or directing (D) ecological change","docAbstract":"

Ecological transformations are occurring as a result of climate change, challenging traditional approaches to land management decision-making. The resist–accept–direct (RAD) framework helps managers consider how to respond to this challenge. We examined how the feasibility of the choices to resist, accept, and direct shifts in complex and dynamic ways through time. We considered 4 distinct types of social feasibility: regulatory, financial, public, and organizational. Our commentary is grounded in literature review and the examples that exist but necessarily has speculative elements because empirical evidence on this newly emerging management strategy is scarce. We expect that resist strategies will become less feasible over time as managers encounter situations where resisting is ecologically, by regulation, financially, or publicly not feasible. Similarly, we expect that as regulatory frameworks increasingly permit their use, if costs decrease, and if the public accepts them, managers will increasingly view accept and direct strategies as more viable options than they do at present. Exploring multiple types of feasibility over time allows consideration of both social and ecological trajectories of change in tandem. Our theorizing suggested that deepening the time horizon of decision-making allows one to think carefully about when one should adopt different approaches and how to combine them over time.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.14331","usgsCitation":"Cravens, A.E., Clifford, K.R., Knapp, C.N., and Travis, W., 2025, The dynamic feasibility of resisting (R), accepting (A), or directing (D) ecological change: Conservation Biology, v. 39, no. 2, e14331, 12 p., https://doi.org/10.1111/cobi.14331.","productDescription":"e14331, 12 p.","ipdsId":"IP-156904","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":439278,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.14331","text":"Publisher Index Page"},{"id":431463,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-07-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":907095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clifford, Katherine R. 0000-0002-1385-8765","orcid":"https://orcid.org/0000-0002-1385-8765","contributorId":303904,"corporation":false,"usgs":false,"family":"Clifford","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":38977,"text":"University of Colorado at Boulder","active":true,"usgs":false}],"preferred":false,"id":907096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knapp, Corrine N.","contributorId":270993,"corporation":false,"usgs":false,"family":"Knapp","given":"Corrine","email":"","middleInitial":"N.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":907097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Travis, William","contributorId":202844,"corporation":false,"usgs":false,"family":"Travis","given":"William","affiliations":[],"preferred":false,"id":907098,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70255982,"text":"70255982 - 2025 - Effect of water delivery and irrigation for riparian restoration in the Colorado River Delta, Mexico","interactions":[],"lastModifiedDate":"2025-01-13T16:02:35.654229","indexId":"70255982","displayToPublicDate":"2024-07-04T10:15:15","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":"Effect of water delivery and irrigation for riparian restoration in the Colorado River Delta, Mexico","docAbstract":"

Along Mexico's arid Colorado River Delta, the riparian corridor lacks water due to a reduction in frequent flows, climate change, human infrastructure, and altered riparian landcover from disturbances to invasive species, fire, and high soil and water salinities, which have led to declines in riparian plant health in recent decades. Restoration efforts focusing on small plots have successfully revitalized habitat, which is the motivation for this research. Accurate estimations of water use by riparian vegetation are crucial in arid environments, where measuring actual evapotranspiration (ETa) poses a significant challenge in these narrow corridors. This study utilizes field-validated remote sensing techniques to quantify ETa at restoration sites. Our methods are twofold; we use the Landsat-8 two-band Enhanced Vegetation Index (EVI2) to monitor changes in vegetation greenness—a proxy of plant health—and we integrate EVI2 with potential evapotranspiration (ET) to calculate ETa. Our findings reveal a notable increase in vegetation greenness within the restoration sites over 9 years, with an average increase of 41.3%. Conversely, greenness in adjacent, unrestored control areas declined by 27.3%. The study also indicates a 22.1% increase in ETa in the restored areas, compared to a 30.8% reduction in the unrestored regions. Restored sites in reach 4 experienced ETa increases ranging from 9.2 to 12.2%, whereas their unrestored counterparts show a decline of 21.4%. Valuable estimates are provided of riparian greenness and water use that may assist natural resource managers who are tasked with allocating water and managing habitats within similar riparian corridors.

","language":"English","publisher":"Wiley","doi":"10.1111/rec.14226","usgsCitation":"Nagler, P.L., Sall, I., Gomez-Sapiens, M., Flessa, K.W., Barreto-Muñoz, A., and Didan, K., 2025, Effect of water delivery and irrigation for riparian restoration in the Colorado River Delta, Mexico: Restoration Ecology, v. 33, no. 1, e14226, 15 p., https://doi.org/10.1111/rec.14226.","productDescription":"e14226, 15 p.","ipdsId":"IP-162779","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498065,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.14226","text":"Publisher Index Page"},{"id":430968,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Colorado River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.57136398622646,\n 32.62670123242762\n ],\n [\n -115.25074823744065,\n 32.62670123242762\n ],\n [\n -115.25074823744065,\n 31.840259349696495\n ],\n [\n -114.57136398622646,\n 31.840259349696495\n ],\n [\n -114.57136398622646,\n 32.62670123242762\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-07-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":906247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sall, Ibrahima 0000-0002-7526-636X","orcid":"https://orcid.org/0000-0002-7526-636X","contributorId":251750,"corporation":false,"usgs":false,"family":"Sall","given":"Ibrahima","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":906248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gomez-Sapiens, Martha","contributorId":195954,"corporation":false,"usgs":false,"family":"Gomez-Sapiens","given":"Martha","email":"","affiliations":[],"preferred":false,"id":906249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flessa, Karl W.","contributorId":175308,"corporation":false,"usgs":false,"family":"Flessa","given":"Karl","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":906250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barreto-Muñoz, Armando","contributorId":239891,"corporation":false,"usgs":false,"family":"Barreto-Muñoz","given":"Armando","affiliations":[{"id":48028,"text":"University of Arizona, Biosystems Engineering, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":906251,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Didan, Kamel","contributorId":292780,"corporation":false,"usgs":false,"family":"Didan","given":"Kamel","affiliations":[{"id":62999,"text":"Biosystems Engineering, University of Arizona, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":906252,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70255721,"text":"70255721 - 2025 - Connecting tributary mercury loads to nearshore and offshore sediments in Lake Superior","interactions":[],"lastModifiedDate":"2025-01-27T16:24:44.738971","indexId":"70255721","displayToPublicDate":"2024-07-03T10:41:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Connecting tributary mercury loads to nearshore and offshore sediments in Lake Superior","docAbstract":"

Lake Superior has a vast and largely undeveloped watershed in comparison to the other Great Lakes, which makes it challenging to study mercury (Hg) sources and cycling. To examine Hg inputs to Lake Superior, we conducted an expansive binational assessment in 40 watersheds from a diverse range of landcover types. We further paired tributary Hg data to sediment source portfolios in the nearshore and offshore zones of Lake Superior through partnership with the Great Lakes Sediment Surveillance Program. We observed that total Hg loads were highest in the spring driven by the combination of elevated Hg concentrations and increased water discharge from snowmelt. In addition, total Hg concentrations in tributaries from remote, heavily forested regions, such as Pukaskwa National Park and the Minnesota Northshore, were higher than the Southshore and Thunder Bay regions. Methylmercury concentrations and loads were more spatially dependent, often corresponding to regions with more wetlands (e.g., Michigan Upper Peninsula). We estimated that the total Hg tributary load to Lake Superior in 2021 was 126 kg per year. To further examine the fate of watershed Hg sources, we examined sediments from 28 sites in Lake Superior using Hg stable isotopes. At open water sites, precipitation was the primary Hg source to sediments, but within nearshore sites Hg originated predominantly from watershed runoff. This work further defines the sources and fate of Hg within Lake Superior and highlights how Hg delivery is intrinsically tied to varying hydrologic regimes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102381","usgsCitation":"Janssen, S., Tate, M., Dantoin, E.D., Filstrup, C.T., Reavie, E., Stewart, R.M., Robinson, C., Allan, C.J., Robertson, D., and Krabbenhoft, D.P., 2025, Connecting tributary mercury loads to nearshore and offshore sediments in Lake Superior: Journal of Great Lakes Research, v. 51, no. 1, 102381, 11 p., https://doi.org/10.1016/j.jglr.2024.102381.","productDescription":"102381, 11 p.","ipdsId":"IP-163575","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439302,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102381","text":"Publisher Index Page"},{"id":431223,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Minnesota, Ontario, Wisconsin","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.94842126777587,\n 51\n ],\n [\n -92.94842126777587,\n 45.903630478283674\n ],\n [\n -83.39917261942563,\n 45.903630478283674\n ],\n [\n -83.39917261942563,\n 51\n ],\n [\n -92.94842126777587,\n 51\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dantoin, Eric D. 0000-0002-8561-2924 edantoin@usgs.gov","orcid":"https://orcid.org/0000-0002-8561-2924","contributorId":2278,"corporation":false,"usgs":true,"family":"Dantoin","given":"Eric","email":"edantoin@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Filstrup, Christopher T.","contributorId":169032,"corporation":false,"usgs":false,"family":"Filstrup","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":905433,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reavie, Euan D","contributorId":332488,"corporation":false,"usgs":false,"family":"Reavie","given":"Euan D","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":905434,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Robert M","contributorId":339866,"corporation":false,"usgs":false,"family":"Stewart","given":"Robert","email":"","middleInitial":"M","affiliations":[{"id":35506,"text":"Lakehead University","active":true,"usgs":false}],"preferred":false,"id":905435,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, Chris","contributorId":339867,"corporation":false,"usgs":false,"family":"Robinson","given":"Chris","email":"","affiliations":[{"id":6658,"text":"Parks Canada","active":true,"usgs":false}],"preferred":false,"id":905436,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Allan, Craig J","contributorId":339868,"corporation":false,"usgs":false,"family":"Allan","given":"Craig","email":"","middleInitial":"J","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":905437,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905438,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":905439,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70258181,"text":"70258181 - 2025 - Geological context and significance of the clay-sulfate transition region in Mount Sharp, Gale crater, Mars: An integrated assessment based on orbiter and rover data","interactions":[],"lastModifiedDate":"2025-01-13T16:08:19.604071","indexId":"70258181","displayToPublicDate":"2024-06-28T10:02:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Geological context and significance of the clay-sulfate transition region in Mount Sharp, Gale crater, Mars: An integrated assessment based on orbiter and rover data","docAbstract":"

On Mars, phyllosilicate (“clay”) minerals are often associated with older terrains, and sulfate minerals are associated with younger terrains, and this dichotomy is taken as evidence that Mars’ surface dried up over time. Therefore, in situ investigation of the Mount Sharp strata in Gale crater, which record a shift from dominantly clay-bearing to sulfate-bearing minerals, as seen in visible−near-infrared orbital reflectance spectra, is a key science objective for the Mars Science Laboratory (MSL) Curiosity rover mission. Here, we present regional (orbiter-based) and in situ (rover-based) evidence for a low-angle erosional unconformity that separates the lacustrine and marginal lacustrine deposits of the Carolyn Shoemaker formation from the dominantly eolian deposits of the lower Mirador formation within the orbitally defined clay-sulfate transition region. The up-section record of wetter (Carolyn Shoemaker formation) to drier (lower Mirador formation) depositional conditions is accompanied by distinct changes in diagenesis. Clay minerals occur preferentially within the Carolyn Shoemaker formation and are absent within the lower members of the Mirador formation. At and above the proposed unconformity, strata are characterized by an increase in diagenetic nodules enriched in X-ray amorphous Mg-sulfate. Early clay formation in the Carolyn Shoemaker formation may have created a hydraulic barrier such that later migrating magnesium- and sulfur-rich fluids accumulated preferentially within the lower members of the Mirador formation. The proposed unconformity may have also acted as a fluid conduit to further promote Mg-sulfate nodule formation at the Carolyn Shoemaker−Mirador formation boundary. These results confirm an association of the clay-sulfate transition with the drying of depositional environments, but they also suggest that at least some orbital sulfate signatures within the region are not time-congruent with the environmental signals extracted from primary sedimentology. Our findings highlight that complex interactions among primary depositional environment, erosion, and diagenesis contribute to the transition in clay-sulfate orbital signatures observed in the stratigraphy of Mount Sharp.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37355.1","usgsCitation":"Meyer, M.J., Milliken, R.E., Stack, K.M., Edgar, L.A., Rampe, E.B., Turner, M.L., Lewis, K.W., Kite, E.S., Caravaca, G., Vasavada, A.R., Dietrich, W.E., Bryk, A.B., Gasnault, O., Le Mouelic, S., Seeger, C.H., and Sheppard, R.Y., 2025, Geological context and significance of the clay-sulfate transition region in Mount Sharp, Gale crater, Mars: An integrated assessment based on orbiter and rover data: GSA Bulletin, v. 137, no. 1-2, p. 82-115, https://doi.org/10.1130/B37355.1.","productDescription":"34 p.","startPage":"82","endPage":"115","ipdsId":"IP-157274","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":439325,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1130/b37355.1","text":"External Repository"},{"id":433553,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gale Crater, Mars, Mount Sharp","volume":"137","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2024-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Meyer, Melissa J.","contributorId":343969,"corporation":false,"usgs":false,"family":"Meyer","given":"Melissa","email":"","middleInitial":"J.","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":912494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milliken, Ralph E.","contributorId":189151,"corporation":false,"usgs":false,"family":"Milliken","given":"Ralph","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":912495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stack, Kathryn M. 0000-0003-3444-6695","orcid":"https://orcid.org/0000-0003-3444-6695","contributorId":146791,"corporation":false,"usgs":false,"family":"Stack","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":912496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":912497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rampe, Elizabeth B.","contributorId":229501,"corporation":false,"usgs":false,"family":"Rampe","given":"Elizabeth","email":"","middleInitial":"B.","affiliations":[{"id":27209,"text":"NASA Johnson Space Center","active":true,"usgs":false}],"preferred":false,"id":912498,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turner, Madison L.","contributorId":343970,"corporation":false,"usgs":false,"family":"Turner","given":"Madison","email":"","middleInitial":"L.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":912499,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lewis, Kevin W.","contributorId":203787,"corporation":false,"usgs":false,"family":"Lewis","given":"Kevin","email":"","middleInitial":"W.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":912500,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kite, Edwin S. 0000-0002-1426-1186","orcid":"https://orcid.org/0000-0002-1426-1186","contributorId":218512,"corporation":false,"usgs":false,"family":"Kite","given":"Edwin","email":"","middleInitial":"S.","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":912501,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Caravaca, Gwenael","contributorId":293561,"corporation":false,"usgs":false,"family":"Caravaca","given":"Gwenael","email":"","affiliations":[{"id":63327,"text":"University Copenhagen","active":true,"usgs":false}],"preferred":false,"id":912502,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vasavada, Ashwin R.","contributorId":200409,"corporation":false,"usgs":false,"family":"Vasavada","given":"Ashwin","email":"","middleInitial":"R.","affiliations":[],"preferred":true,"id":912503,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dietrich, William E.","contributorId":195599,"corporation":false,"usgs":false,"family":"Dietrich","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":912504,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bryk, Alex B.","contributorId":343971,"corporation":false,"usgs":false,"family":"Bryk","given":"Alex","email":"","middleInitial":"B.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":912505,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gasnault, Olivier","contributorId":181501,"corporation":false,"usgs":false,"family":"Gasnault","given":"Olivier","email":"","affiliations":[],"preferred":false,"id":912506,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Le Mouelic, Stephane","contributorId":147254,"corporation":false,"usgs":false,"family":"Le Mouelic","given":"Stephane","affiliations":[],"preferred":false,"id":912507,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Seeger, Christina H.","contributorId":343973,"corporation":false,"usgs":false,"family":"Seeger","given":"Christina","email":"","middleInitial":"H.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":912508,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sheppard, Rachel Y.","contributorId":343974,"corporation":false,"usgs":false,"family":"Sheppard","given":"Rachel","email":"","middleInitial":"Y.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":912509,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70268780,"text":"70268780 - 2025 - Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues","interactions":[],"lastModifiedDate":"2025-07-08T17:25:42.067225","indexId":"70268780","displayToPublicDate":"2024-06-27T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21985,"text":"Precision Agriculture","active":true,"publicationSubtype":{"id":10}},"title":"Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues","docAbstract":"

Purpose

Cover crops and reduced tillage are two key climate smart agricultural practices that can provide agroecosystem services including improved soil health, increased soil carbon sequestration, and reduced fertilizer needs. Crop residue carbon traits (i.e., lignin, holocellulose, non-structural carbohydrates) and nitrogen concentrations largely mediate decomposition rates and amount of plant-available nitrogen accessible to cash crops and determine soil carbon residence time. Non-destructive approaches to quantify these important traits are possible using spectroscopy.

Methods

The objective of this study was to quantify cash and cover crop residue nitrogen and carbon traits using partial least squares regression models and a combination of 1) the band equivalent reflectance (BER) of the PRecursore IperSpettrale della Missione Applicativa (PRISMA) imaging spectroscopy sensor derived from laboratory collected ASD spectra (n = 296) of 11 cover crop species and three cash crop species, and 2) spaceborne PRISMA imagery that coincided with destructive crop residue collections in the spring of 2022 (n = 65). Spectral range was constrained to 1200 to 2400nm to reduce the likelihood of confounding relationships in wavelengths sensitive to plant pigments or those related to canopy structure for both analytical approaches.

Results

Models using laboratory BER of PRISMA all demonstrated high accuracies and low errors for estimation of nitrogen and carbon traits (adj. R2 = 0.86 – 0.98; RMSE = 0.24 – 4.25%) and results suggest that a single model may be used for a given trait across all species. Models using spaceborne imaging spectroscopy demonstrated that crop residue carbon traits can be successfully estimated using PRISMA imagery (adj. R2 = 0.65 – 0.75; RMSE = 2.71 – 4.16%). We found moderate relationships between nitrogen concentration and PRISMA imagery (adj. R2 = 0.52; RMSE = 0.25%), which is partly related to the range of nitrogen in these senesced crop residues (0.38 – 1.85%). PRISMA imagery models were also impacted by atmospheric absorption, variability in surface moisture content, and some presence of green vegetation.

Conclusion

As spaceborne imaging spectroscopy data become more widely available from upcoming missions, crop residue trait estimates could be regularly generated and integrated into decision support tools to calculate decomposition rates and associated nitrogen credits to inform precision field management, as well as to enable measurement, monitoring, reporting, and verification of net carbon benefits from climate smart agricultural practice adoption in an emerging carbon marketplace.

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Marine turbidite paleoseismology relies on the assumption of synchronous triggering of turbidity currents by earthquake shaking to infer rupture extent and recurrence. Such inference commonly depends on age dating and correlation of the physical stratigraphy of deposits carried by turbidity currents (i.e., turbidites) across great distances. Along the Cascadia subduction zone, which lies offshore the Pacific Northwest, USA, turbidite facies in core photographs, X-ray computed tomography images, and magnetic susceptibility (MS) data exhibit differences in character over relatively short distances, which implies that not all deposits can be correlated with confidence. Thus, subjective correlation based on expected similarity over great distances and weak age constraints does not independently support paleoseismic models. We present a new method for correlating turbidites along the Cascadia margin that can yield a more objective and repeatable stratigraphic framework to underpin earthquake recurrence. We use dynamic time warping to correlate MS logs and measure correlation coefficients of core pairs to evaluate correlation strength. We then compare these measures to a distribution of correlation coefficients of randomly generated turbidite sequences and find that only a small number of core pairs can be correlated more confidently than randomly stacked turbidites. This methodology promises a more robust correlation strategy for future stratigraphic studies.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37343.1","usgsCitation":"Nieminski, N.M., Sylvester, Z., Covault, J., Gomberg, J.S., Staisch, L.M., and McBrearty, I., 2025, Turbidite correlation for paleoseismology: Geological Society of America Bulletin, v. 137, no. 1-2, p. 29-40, https://doi.org/10.1130/B37343.1.","productDescription":"12 p.","startPage":"29","endPage":"40","ipdsId":"IP-155495","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b37343.1","text":"Publisher Index Page"},{"id":480831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.26453789074651,\n 48.071035359833985\n ],\n [\n -127.39602874177069,\n 48.071035359833985\n ],\n [\n -127.39602874177069,\n 41.99234863119753\n ],\n [\n -123.26453789074651,\n 41.99234863119753\n ],\n [\n -123.26453789074651,\n 48.071035359833985\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"137","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2024-06-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Nieminski, Nora M.","contributorId":216510,"corporation":false,"usgs":false,"family":"Nieminski","given":"Nora","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":924622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sylvester, Zoltan","contributorId":349708,"corporation":false,"usgs":false,"family":"Sylvester","given":"Zoltan","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":924623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Covault, Jake","contributorId":349709,"corporation":false,"usgs":false,"family":"Covault","given":"Jake","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":924624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":924625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":924626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McBrearty, Ian","contributorId":242933,"corporation":false,"usgs":false,"family":"McBrearty","given":"Ian","email":"","affiliations":[{"id":48588,"text":"Los Alamos National Lab","active":true,"usgs":false}],"preferred":false,"id":924627,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70264004,"text":"70264004 - 2025 - Valuing wildlife sightings at the species-wide and individual animal levels: An approach and application to bear viewing in Yellowstone National Park","interactions":[],"lastModifiedDate":"2025-03-04T15:26:44.041017","indexId":"70264004","displayToPublicDate":"2024-06-03T09:24:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Valuing wildlife sightings at the species-wide and individual animal levels: An approach and application to bear viewing in Yellowstone National Park","docAbstract":"

Wildlife viewing is a popular recreation activity in parks and protected areas around the world, yet information on the nonmarket value that visitors derive from viewing specific species, and how that value is affected by small-scale population changes, is lacking. We devised an approach to fill the gap. First, we applied the travel cost method to obtain the value of a wildlife viewing trip. Next, we estimated a value per animal sighting, which we aggregated by the number of visitors who experienced and valued a sighting. Finally, we incorporated the probability of viewing an animal to determine an individual animal’s contribution to sighting value, which varies by species type, visibility, and seasonality. We examined bear viewing in Yellowstone National Park. For grizzly and black bears, respectively, per-sighting values are $16 and $14, aggregate annual sighting values are $6.9 and $9.7 million, and annual per-bear viewing values are $46,000 and $15,000.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2024.2353250","usgsCitation":"Richardson, L., and Enriquez, A.J., 2025, Valuing wildlife sightings at the species-wide and individual animal levels: An approach and application to bear viewing in Yellowstone National Park: Human Dimensions of Wildlife, v. 30, no. 2, p. 201-209, https://doi.org/10.1080/10871209.2024.2353250.","productDescription":"9 p.","startPage":"201","endPage":"209","ipdsId":"IP-159873","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487738,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10871209.2024.2353250","text":"Publisher Index Page"},{"id":482797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.10748291015625,\n 44.12702800650004\n ],\n [\n -109.98138427734375,\n 44.1289994645142\n ],\n [\n -109.98687744140624,\n 44.33367180085156\n ],\n [\n -110.03631591796875,\n 44.34152959888481\n ],\n [\n -110.04730224609375,\n 44.3906169787868\n ],\n [\n -110.00885009765625,\n 44.422011314236634\n ],\n [\n -109.98138427734375,\n 44.50825885600572\n ],\n [\n -110.028076171875,\n 44.52196830685208\n ],\n [\n -110.1104736328125,\n 44.50825885600572\n ],\n [\n -110.12969970703125,\n 44.53371669765759\n ],\n [\n -110.07476806640625,\n 44.56503415498704\n ],\n [\n -110.0225830078125,\n 44.58655513209543\n ],\n [\n -109.84954833984375,\n 44.61784415342067\n ],\n [\n -109.80010986328124,\n 44.71161010858431\n ],\n [\n -109.84405517578125,\n 44.75258502192499\n ],\n [\n -109.90997314453125,\n 44.813018740612776\n ],\n [\n -109.9127197265625,\n 44.89868701215517\n ],\n [\n -109.9346923828125,\n 44.97839955494438\n ],\n [\n -109.96490478515625,\n 45.017243565102596\n ],\n [\n -110.00885009765625,\n 45.06770141120143\n ],\n [\n -110.06378173828125,\n 45.05412098425883\n ],\n [\n -110.13519287109374,\n 45.042478050891546\n ],\n [\n -110.69549560546874,\n 45.04053733158769\n ],\n [\n -110.775146484375,\n 45.079339209738094\n ],\n [\n -110.82183837890625,\n 45.06964120886863\n ],\n [\n -110.86578369140625,\n 45.04635929200553\n ],\n [\n -110.89874267578124,\n 45.0502402697946\n ],\n [\n -110.928955078125,\n 45.08127861241874\n ],\n [\n -110.9619140625,\n 45.09679146394738\n ],\n [\n -111.005859375,\n 45.10842333769411\n ],\n [\n -111.0333251953125,\n 45.10260769705975\n ],\n [\n -111.060791015625,\n 45.10066901851988\n ],\n [\n -111.0992431640625,\n 45.11811475546806\n ],\n [\n -111.126708984375,\n 45.120052841530516\n ],\n [\n -111.15966796875,\n 45.089035564831036\n ],\n [\n -111.181640625,\n 45.059941562221226\n ],\n [\n -111.11846923828125,\n 45.01918507438176\n ],\n [\n -111.10748291015625,\n 44.12702800650004\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Richardson, Leslie","contributorId":197525,"corporation":false,"usgs":false,"family":"Richardson","given":"Leslie","affiliations":[],"preferred":false,"id":929460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Enriquez, Aaron Joey 0000-0002-0305-4333","orcid":"https://orcid.org/0000-0002-0305-4333","contributorId":346485,"corporation":false,"usgs":true,"family":"Enriquez","given":"Aaron","email":"","middleInitial":"Joey","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":929461,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70263241,"text":"70263241 - 2025 - Hydrodynamic and salinity tesponse to tidal restoration in the Herring River Estuary, MA, considering present and future sea levels","interactions":[],"lastModifiedDate":"2025-02-03T14:58:38.887466","indexId":"70263241","displayToPublicDate":"2024-05-16T08:53:04","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrodynamic and salinity tesponse to tidal restoration in the Herring River Estuary, MA, considering present and future sea levels","docAbstract":"

Coastal salt marshes are crucial ecosystems that provide habitat for a variety of species, improve water quality, and play a major role in the global carbon cycle. However, many salt marshes have been severely damaged by human activities such as diking and draining for urban development. Recently, there has been a noticeable shift toward the prioritization of coastal marsh restoration to re-establish their ecosystem services. The removal of anthropogenic barriers such as dikes, sluices, and culverts is a critical component of many projects because it allows for the restoration of tidal flow to support natural hydrologic regimes and salinity conditions, which play a dominant role in determining the ecological and biogeochemical functioning of marshes. This study examines how proposed removal of hydraulic structures will influence the hydrologic potential for marsh restoration in the Herring River Estuary in Cape Cod, Massachusetts, USA. Construction of dikes, roadways, and low-capacity culverts over the last century has substantially restricted tidal flow in the Herring River Estuary, leading to degradation of salt marsh habitat. The estuary is now undergoing the first phase of a restoration project to re-introduce natural hydrologic conditions, increase salinity, and restore salt marsh habitat. To assess how the Herring River Estuary will respond to human- and climate-driven modifications, we develop and apply a validated hydrodynamic model to simulate the complex tidal and salinity dynamics of the estuary under a range of restoration and sea level rise scenarios. We then quantify how salinity and critical hydrologic variables, including tidal range and depth of mean high water, will evolve for various restoration scenarios considering present and future sea levels. The results of this research can inform coastal management and restoration plans that re-create the natural functioning of the system while protecting critical infrastructure and reducing the risk of restoration failure.

","conferenceTitle":"World Environmental and Water Resources Congress 2024","conferenceDate":"May 19-22, 2024","conferenceLocation":"Milwaukee, WI","language":"English","publisher":"ASCE","doi":"10.1061/9780784485477.065","usgsCitation":"Naseri, K., Hummel, M.A., Befus, K.M., Smith, T.P., Eagle, M.J., and Kroeger, K.D., 2025, Hydrodynamic and salinity tesponse to tidal restoration in the Herring River Estuary, MA, considering present and future sea levels, World Environmental and Water Resources Congress 2024, Milwaukee, WI, May 19-22, 2024, p. 739-751, https://doi.org/10.1061/9780784485477.065.","productDescription":"15 p.","startPage":"739","endPage":"751","ipdsId":"IP-166785","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":481600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Herring River Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.03563796878046,\n 41.96028204250854\n ],\n [\n -70.057717500137,\n 41.95553185904734\n ],\n [\n -70.06507734392336,\n 41.929296137234985\n ],\n [\n -70.04758035680993,\n 41.930225912910544\n ],\n [\n -70.05167687363391,\n 41.950367075905746\n ],\n [\n -70.03601984746726,\n 41.95656377966937\n ],\n [\n -70.03563796878046,\n 41.96028204250854\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Naseri, Kasra","contributorId":350423,"corporation":false,"usgs":false,"family":"Naseri","given":"Kasra","affiliations":[{"id":12734,"text":"University of Texas at Arlington","active":true,"usgs":false}],"preferred":false,"id":925992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hummel, Michelle A. 0000-0002-5524-2547","orcid":"https://orcid.org/0000-0002-5524-2547","contributorId":330478,"corporation":false,"usgs":false,"family":"Hummel","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":78907,"text":"University of Texas at Arlington, Arlington, TX USA","active":true,"usgs":false}],"preferred":false,"id":925993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Befus, Kevin M.","contributorId":242636,"corporation":false,"usgs":false,"family":"Befus","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":925994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Timothy P.","contributorId":220144,"corporation":false,"usgs":false,"family":"Smith","given":"Timothy","email":"","middleInitial":"P.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":925995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eagle, Meagan J. 0000-0001-5072-2755 meagle@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":242890,"corporation":false,"usgs":true,"family":"Eagle","given":"Meagan","email":"meagle@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":925996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":925997,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263408,"text":"70263408 - 2025 - GRAPES: Earthquake early warning by passing seismic vectors through the grapevine","interactions":[],"lastModifiedDate":"2025-02-10T16:32:01.595832","indexId":"70263408","displayToPublicDate":"2024-05-08T10:26:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"GRAPES: Earthquake early warning by passing seismic vectors through the grapevine","docAbstract":"

Estimating an earthquake's magnitude and location may not be necessary to predict shaking in real time; instead, wavefield-based approaches predict shaking with few assumptions about the seismic source. Here, we introduce GRAph Prediction of Earthquake Shaking (GRAPES), a deep learning model trained to characterize and propagate earthquake shaking across a seismic network. We show that GRAPES’ internal activations, which we call “seismic vectors”, correspond to the arrival of distinct seismic phases. GRAPES builds upon recent deep learning models applied to earthquake early warning by allowing for continuous ground motion prediction with seismic networks of all sizes. While trained on earthquakes recorded in Japan, we show that GRAPES, without modification, outperforms the ShakeAlert earthquake early warning system on the 2019 M7.1 Ridgecrest, CA earthquake.

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Earthquakes and other natural events sometimes shake the seafloor near coastlines severely enough to cause underwater avalanches that rush down steep slopes, scouring the seabed and carrying sediment to greater depths. These fast-moving sediment-laden flows, called turbidity currents, have at times damaged underwater infrastructure like pipelines and communications cables, as they did, for example, in snapping transatlantic cables off the coast of Newfoundland after the 1929 Grand Banks earthquake.

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